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This is not a traditional “dial-for-dollars” BD role. You'll be building your own lead lists, showing up at conferences and events, developing real relationships, and helping shape how Listen Labs is viewed by the market. If you're hungry, extroverted, resilient, and excited to grind in a highly visible role at an early-stage startup- this is for you. Top performers will have a clear path to an Emerging AE or other Growth roles. Background Listen Labs is an AI-powered research platform that helps teams uncover insights from customer interviews in hours - not months. We help customers analyze conversations, surface themes, and make faster, smarter product decisions. 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You'll partner directly with product, research, and marketing leaders at some of the world's most innovative companies to translate insights into decisions. Background Listen Labs is an AI-powered research platform that helps teams uncover insights from customer interviews in hours - not months. We help customers analyze conversations, surface themes, and make faster, smarter product decisions. Company highlights - entirely product-led: - World-Class Team: Founded by serial entrepreneurs (previous AI exit), former co-founders, and talent from Jane Street, Twitter, Stripe, Affirm, Bain, Goldman Sachs, and many more Sequoia-backed startups (plus IOI/ICPC backgrounds). - Hypergrowth: We're a fast-growing team backed by top-tier investors that's grown several-fold in the past year, and we're set on multiplying that again. 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You're curious, resourceful, analytical, and excited to join a fast-growing, early-stage startup in a career-defining role. You're willing to roll up your sleeves - no task is too small when it helps move the company forward. Min. 1-2 years of experience in growth, marketing, business operations, consulting, startups, or related fields preferred. Experience with B2B SaaS, growth experimentation, or GTM systems is a plus. Background Listen Labs is an AI-powered research platform that helps teams uncover insights from customer interviews in hours - not months. We help customers analyze conversations, surface themes, and make faster, smarter product decisions. Company highlights - entirely product-led: - World-Class Team: Founded by serial entrepreneurs (previous AI exit), former co-founders, and talent from Jane Street, Twitter, Stripe, Affirm, Bain, Goldman Sachs, and many more Sequoia-backed startups (plus IOI/ICPC backgrounds). - Hypergrowth: We're a 30-person team backed by Sequoia, growing from $0 to a $12M run-rate in under a year. 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We're hiring a founding researcher to lead our simulation initiative, the model that lets AI systems predict what humans would think, want, and decide. Sequoia-backed, $100M raised, customers include Anthropic, Google, and Cursor. Background As AI gets better at building things, the bottleneck shifts to knowing what to build. We're the bridge between AI systems and what humans actually want. Today our customers are companies. Soon, AIs themselves will be our customers. Our platform runs AI-moderated video interviews at massive scale. We find the right people from a network of millions, our AI conducts open-ended conversations with thousands of them in parallel, and we surface what to build next. What used to take research teams weeks per study, we do in hours. Where it's going: every interview feeds a human preference model. We simulate human behavior at scale: how people react to new ideas, how they make decisions, how preferences shape markets, and how change ripples through society. We expose this as the Human API. An AI agent writes code, asks Listen whether users would actually want a feature, gets a grounded answer back, and iterates. Closed loop product development at AI speed. Every coding agent will eventually need this signal. Company highlights - Series B with $100M raised from Sequoia,", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 40, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "seniority": "mid", "years_experience_min": 3, "years_experience_max": 7, "role_function": "data", "employer_industry": null, "employer_size": null, "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [] }, { "id": "33b4842a279444599d755b8f0e8c892b", "title": "Founding Product Designer", "employer_name": "Listen Labs", "employer_slug": "listen-labs", "location_text": "San Francisco, CA, San Francisco, California, United States", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "options" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-05-05T22:16:27.775Z", "apply_url": "https://jobs.ashbyhq.com/listenlabs/a8d40c4f-2367-493e-bd41-f3987abb4d4b", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Founding Product Designer San Francisco, CA, San Francisco, California, United States TL;DR: We're hiring a Founding Product Designer to turn complex, week-long consulting projects into elegant, simple experiences powered by AI. If you love rethinking products from the ground up, turning complexity into beauty, and obsessing over every detail, we should talk. Background Listen Labs is an AI-powered research platform that helps teams uncover insights from customer interviews in hours - not months. We help customers analyze conversations, surface themes, and make faster, smarter product decisions. Company highlights - entirely product-led: - World-Class Team: Founded by serial entrepreneurs (previous AI exit), former co-founders, and talent from Jane Street, Twitter, Stripe, Affirm, Bain, Goldman Sachs, and many more Sequoia-backed startups (plus IOI/ICPC backgrounds). - Hypergrowth: We're a 30-person team backed by Sequoia, growing from $0 to a $10M run-rate in under a year. 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This is not a volume role. This is a high-stakes, high-impact seat focused on landing and expanding 6-7 figure deals inside complex, global enterprises. You'll work directly with our VP of Revenue to win accounts that define the company. If you've consistently closed big deals, built executive relationships, and want a shot at a career-defining run - keep reading. Background Listen Labs is an AI-powered research platform that helps teams uncover insights from customer interviews in hours - not months. We help customers analyze conversations, surface themes, and make faster, smarter product decisions. 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This role is for someone who loves the craft and the strategy: you're interviewing customers, writing the scripts, penning research papers, and stepping in front of the camera when needed. Expect to move fast, run tight experiments, scale what works, and grow your career! Min. 8+ years in B2B SaaS content, product marketing, editorial, or brand storytelling roles. Comfort with video, social-first content, and customer storytelling is important. Prior experience as a social media creator is a plus. Background Listen Labs is an AI-powered research platform that helps teams uncover insights from customer interviews in hours - not months. We help customers analyze conversations, surface themes, and make faster, smarter product decisions. 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You'll help shape how our brand and message goes to market by creating curated event experiences that customers actually want to attend. This is a high-ownership role for someone who combines taste, creativity, and detail-oriented execution and wants to help build 0-1 at a breakout company in the AI era. Min. 4+ years in B2B SaaS corporate events, field marketing, or related roles. You should have strong creative judgment, experience producing standout events, and the ability to move fluidly between big-picture thinking and hands-on execution. Excitement about travel and working in a fast-paced startup environment is important. Background Listen Labs is an AI-powered research platform that helps teams uncover insights from customer interviews in hours - not months. We help customers analyze conversations, surface themes, and make faster, smarter product decisions. 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You'll ensure every study runs on time, on spec, and at high quality.. Background Listen Labs is an AI-powered research platform that helps teams uncover insights from customer interviews in hours - not months. We help customers analyze conversations, surface themes, and make faster, smarter product decisions. Company highlights - entirely product-led: - World-Class Team: Founded by serial entrepreneurs (previous AI exit), former co-founders, and talent from Jane Street, Twitter, Stripe, Affirm, Bain, Goldman Sachs, and many more Sequoia-backed startups (plus IOI/ICPC backgrounds). - Hypergrowth: We're a fast-growing team backed by top-tier investors that's grown several-fold in the past year, and we're set on multiplying that again. 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We're Sequoia-backed, raised $100M, and our customers include Anthropic, Google, and Cursor. We're hiring engineers who can build a complex AI-native product on a small team of former founders and top-tier builders. Background As AI gets better at building things, the bottleneck shifts to knowing what to build. We're the bridge between AI systems and what humans actually want. Today our customers are companies. Soon, AIs themselves will be our customers. Our platform runs AI-moderated video interviews at massive scale. We find the right people from a network of millions, our AI conducts open-ended conversations with thousands of them in parallel, and we surface what to build next. What used to take research teams weeks per study, we do in hours. Where it's going: every interview feeds a human preference model. We simulate human behavior at scale: how people react to new ideas, how they make decisions, how preferences shape markets, and how change ripples through society. We expose this as the Human API. An AI agent writes code, asks Listen whether users would actually want a feature, gets a grounded answer back, and iterates. Closed-loop product development at AI speed. Every coding agent will eventually need this signal. Company highlights - Series B with $100M raised from Sequoia, Conviction, Ribbit, AI Grant, and Pear VC. - Selective team of - Customers include", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 40, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "seniority": "senior", "years_experience_min": 5, "years_experience_max": 9, "role_function": "engineering", "employer_industry": null, "employer_size": null, "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [] }, { "id": "53c906e379c6c31356229cb0f971f5cf", "title": "Member of Technical Staff, Platform", "employer_name": "Listen Labs", "employer_slug": "listen-labs", "location_text": "San Francisco, CA, San Francisco, California, United States, New York, NY", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "options" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-02-25T22:51:06.627Z", "apply_url": "https://jobs.ashbyhq.com/listenlabs/3de6a26e-dfd3-4eca-a243-bc8574af5dc0", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Member of Technical Staff, Platform San Francisco, CA, San Francisco, California, United States, New York, NY TL;DR: Listen teaches AI what people actually think and want. We're Sequoia-backed, raised $100M, and our customers include Anthropic, Google, and Cursor. We're hiring engineers who can build a complex AI-native product on a small team of former founders and top-tier builders. Background As AI gets better at building things, the bottleneck shifts to knowing what to build. We're the bridge between AI systems and what humans actually want. Today our customers are companies. Soon, AIs themselves will be our customers. Our platform runs AI-moderated video interviews at massive scale. We find the right people from a network of millions, our AI conducts open-ended conversations with thousands of them in parallel, and we surface what to build next. What used to take research teams weeks per study, we do in hours. Where it's going: every interview feeds a human preference model. We simulate human behavior at scale: how people react to new ideas, how they make decisions, how preferences shape markets, and how change ripples through society. We expose this as the Human API. An AI agent writes code, asks Listen whether users would actually want a feature, gets a grounded answer back, and iterates. Closed-loop product development at AI speed. Every coding agent will eventually need this signal. Company highlights - Series B with $100M raised from Sequoia, Conviction, Ribbit, AI Grant, and Pear VC. - Selective team of - Customers include Anthropic,", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 40, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "seniority": "mid", "years_experience_min": 3, "years_experience_max": 7, "role_function": "engineering", "employer_industry": null, "employer_size": null, "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [] }, { "id": "c82c402b8085b317d953c3d8dad1f0f8", "title": "Member of Technical Staff, Research Engineering", "employer_name": "Listen Labs", "employer_slug": "listen-labs", "location_text": "San Francisco, CA, San Francisco, California, United States", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "options" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-02-25T22:49:27.436Z", "apply_url": "https://jobs.ashbyhq.com/listenlabs/2d2cbcd9-0250-4fe9-b52e-0df643a43015", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Member of Technical Staff, Research Engineering San Francisco, CA, San Francisco, California, United States Member of Technical Staff, Product TL;DR: Listen teaches AI what people actually think and want. We're Sequoia-backed, raised $100M, and our customers include Anthropic, Google, and Cursor. We're hiring engineers who can build a complex AI-native product on a small team of former founders and top-tier builders. Background As AI gets better at building things, the bottleneck shifts to knowing what to build. We're the bridge between AI systems and what humans actually want. Today our customers are companies. Soon, AIs themselves will be our customers. Our platform runs AI-moderated video interviews at massive scale. We find the right people from a network of millions, our AI conducts open-ended conversations with thousands of them in parallel, and we surface what to build next. What used to take research teams weeks per study, we do in hours. Where it's going: every interview feeds a human preference model. We simulate human behavior at scale: how people react to new ideas, how they make decisions, how preferences shape markets, and how change ripples through society. We expose this as the Human API. An AI agent writes code, asks Listen whether users would actually want a feature, gets a grounded answer back, and iterates. Closed-loop product development at AI speed. Every coding agent will eventually need this signal. Company highlights - Series B with $100M raised from Sequoia, Conviction, Ribbit, AI Grant, and Pear VC. - Selective team of -", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 40, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "seniority": "mid", "years_experience_min": 3, "years_experience_max": 7, "role_function": "data", "employer_industry": null, "employer_size": null, "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [] }, { "id": "6a7f78a213d3e3e5f0df8dc9cee55054", "title": "Member of Technical Staff, Agent Engineering", "employer_name": "Listen Labs", "employer_slug": "listen-labs", "location_text": "San Francisco, CA, San Francisco, California, United States, New York, NY", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "options" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-02-25T22:48:30.267Z", "apply_url": "https://jobs.ashbyhq.com/listenlabs/c5ac0e6f-2824-40c9-b10f-8370c3d53f59", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Member of Technical Staff, Agent Engineering San Francisco, CA, San Francisco, California, United States, New York, NY TL;DR: Listen teaches AI what people actually think and want. We're Sequoia-backed, raised $100M, and our customers include Anthropic, Google, and Cursor. We're hiring engineers who can build a complex AI-native product on a small team of former founders and top-tier builders. Background As AI gets better at building things, the bottleneck shifts to knowing what to build. We're the bridge between AI systems and what humans actually want. Today our customers are companies. Soon, AIs themselves will be our customers. Our platform runs AI-moderated video interviews at massive scale. We find the right people from a network of millions, our AI conducts open-ended conversations with thousands of them in parallel, and we surface what to build next. What used to take research teams weeks per study, we do in hours. Where it's going: every interview feeds a human preference model. We simulate human behavior at scale: how people react to new ideas, how they make decisions, how preferences shape markets, and how change ripples through society. We expose this as the Human API. An AI agent writes code, asks Listen whether users would actually want a feature, gets a grounded answer back, and iterates. Closed-loop product development at AI speed. Every coding agent will eventually need this signal. Company highlights - Series B with $100M raised from Sequoia, Conviction, Ribbit, AI Grant, and Pear VC. - Selective team of - Customers include", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 40, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "seniority": "mid", "years_experience_min": 3, "years_experience_max": 7, "role_function": "data", "employer_industry": null, "employer_size": null, "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [] }, { "id": "82376d813d5dac9b595a48d14e891c1d", "title": "Lead GTM Engineer", "employer_name": "Listen Labs", "employer_slug": "listen-labs", "location_text": "New York, NY, New York, United States, San Francisco, CA", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "options" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-02-11T00:41:20.238Z", "apply_url": "https://jobs.ashbyhq.com/listenlabs/544456d8-85bd-48c6-bab9-5738e402dfd9", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Lead GTM Engineer New York, NY, New York, United States, San Francisco, CA TL;DR: We're hiring a Lead GTM Engineer to work directly with our Head of Growth to scale Listen from $XX → $XXX ARR. You're a technical, systems-oriented, and energetic operator who's excited to join a fast-growing, early-stage startup in a career-defining role. You're willing to roll up your sleeves - no task is too small when it helps move the company forward. Min. 5+ years in GTM operations, sales engineering, or RevOps, ideally with experience building outbound motions and SDR systems. Prior experience in technical sales, data engineering, or growth/marketing operations is a plus. Background Listen Labs is an AI-powered research platform that helps teams uncover insights from customer interviews in hours - not months. We help customers analyze conversations, surface themes, and make faster, smarter product decisions. Company highlights - entirely product-led: - World-Class Team: Founded by serial entrepreneurs (previous AI exit), former co-founders, and talent from Jane Street, Twitter, Stripe, Affirm, Bain, Goldman Sachs, and many more Sequoia-backed startups (plus IOI/ICPC backgrounds). - Hypergrowth: We're a 40-person team backed by Sequoia, growing from $0 to a $14M run-rate in under a year. We move fast, care deeply about craft, and love working with people who take ownership. - Traction: Rapid growth across segments with enterprise wins at Google, Microsoft, Nestlé, and P&G. - Performance: Industry-leading win rate driven by a highly differentiated product. - Market Validation: Consistently winning customers across all segments with over six-figure", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 40, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "seniority": "senior", "years_experience_min": 5, "years_experience_max": 9, "role_function": "data", "employer_industry": null, "employer_size": null, "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [] }, { "id": "a81ec1a92973b6427e4a941693167da9", "title": "Founding Product Manager", "employer_name": "Listen Labs", "employer_slug": "listen-labs", "location_text": "San Francisco, CA, San Francisco, California, United States", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": 175000, "salary_max": 280000, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "base", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": "year", "base_salary_min": 175000, "base_salary_max": 280000, "salary_disclosed": true, "equity_included": true, "equity_included_source": null, "equity_type": [ "options" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-01-22T18:23:28.074Z", "apply_url": "https://jobs.ashbyhq.com/listenlabs/f67f1521-ed0b-4185-94c1-fe60aef923f9", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Founding Product Manager San Francisco, CA, San Francisco, California, United States TL;DR : As our Founding Product Manager, you'll own core parts of the product that power this experience end-to-end: how teams ask questions, how AI designs and runs research, and how insights are synthesized and delivered into decision-ready outputs. You'll operate in a true 0 to 1 environment, partnering closely with engineering, design, research, and GTM to turn an ambitious vision into a scalable, compounding product. This is a high-ownership role for someone excited to build a foundational product surface area at the intersection of AI, customer research, and real-world decision-making. Background Listen Labs is an AI-powered research platform that helps teams uncover insights from customer interviews in hours, not months. We help customers analyze conversations, surface themes, and make faster, smarter product decisions. Company highlights that were entirely product-led: - World-Class Team: Founded by serial entrepreneurs (previous AI exit), former co-founders, and talent from Jane Street, Twitter, Stripe, Affirm, Bain, Goldman Sachs, and many more Sequoia-backed startups (plus IOI/ICPC backgrounds). - Hypergrowth: We're a fast-growing team backed by top-tier investors that's grown several-fold in the past year, and we're set on multiplying that again. 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You'll partner directly with product, research, and marketing leaders at some of the world's most innovative companies to translate data into decisions. Background Listen Labs is an AI-powered research platform that helps teams uncover insights from customer interviews in hours - not months. We help customers analyze conversations, surface themes, and make faster, smarter product decisions. Company highlights - entirely product-led: - World-Class Team: Founded by serial entrepreneurs (previous AI exit), former co-founders, and talent from Jane Street, Twitter, Stripe, Affirm, Bain, Goldman Sachs, and many more Sequoia-backed startups (plus IOI/ICPC backgrounds). - Hypergrowth: We're a fast-growing team backed by top-tier investors that's grown several-fold in the past year, and we're set on multiplying that again. 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Business Development Representative at Listen Labs - New York, NY, New York, United States - Business Development Representative New York, NY, New York, United States TL;DR: Our Business Development team is growing to help fuel Listen Labs' next phase of growth. This is not a traditional “dial-for-dollars” BD role. You'll be building your own lead lists, showing up at conferences and events, developing real relationships, and helping shape how Listen Labs is viewed by the market. If you're hungry, extroverted, resilient, and excited to grind in a highly visible role at an early-stage startup- this is for you. Top performers will have a clear path to an Emerging AE or other Growth roles. Background Listen Labs is an AI-powered research platform that helps teams uncover insights from customer interviews in hours - not months. We help customers analyze conversations, surface themes, and make faster, smarter product decisions. Company highlights - entirely product-led: - World-Class Team: Founded by serial entrepreneurs (previous AI exit), former co-founders, and talent from Jane Street, Twitter, Stripe, Affirm, Bain, Goldman Sachs, and many more Sequoia-backed startups (plus IOI/ICPC backgrounds). - Hypergrowth: We're a 40-person team backed by Sequoia, growing from $0 to a $14M run-rate in under a year. We move fast, care deeply about craft, and love working with people who take ownership. - Traction: Rapid growth across segments with enterprise wins at Google, Microsoft, Nestlé, and P&G. - Performance: Industry-leading win rate driven by a highly differentiated product. - Market Validation: Consistently winning customers across all segments with over six-figure lands that lead to quick expansions. - Viral Product:

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Insights Analyst at Listen Labs - New York, NY, New York, United States - Insights Analyst New York, NY, New York, United States TL;DR: We're hiring for our Insights team to help our customers unlock the full value of Listen Labs. You'll partner directly with product, research, and marketing leaders at some of the world's most innovative companies to translate insights into decisions. Background Listen Labs is an AI-powered research platform that helps teams uncover insights from customer interviews in hours - not months. We help customers analyze conversations, surface themes, and make faster, smarter product decisions. Company highlights - entirely product-led: - World-Class Team: Founded by serial entrepreneurs (previous AI exit), former co-founders, and talent from Jane Street, Twitter, Stripe, Affirm, Bain, Goldman Sachs, and many more Sequoia-backed startups (plus IOI/ICPC backgrounds). - Hypergrowth: We're a fast-growing team backed by top-tier investors that's grown several-fold in the past year, and we're set on multiplying that again. We move fast, care deeply about craft, and love working with people who take ownership. - Traction: Rapid growth across segments with enterprise wins at Google, Microsoft, Nestlé, and P&G. - Performance: Industry-leading win rate driven by a highly differentiated product. - Market Validation: Consistently winning customers across all segments with over six-figure lands that lead to quick expansions. - Viral Product: Interviews are shared with tens of thousands of viewers, fueling PLG, organic expansion, and daily inbound from Fortune 500s. What You'll Do - Analyze qualitative and quantitative data, ensure quality assurance, and support the creation of insights briefs and presentations that deliver actionable insights. -

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Growth Associate at Listen Labs - New York, NY, New York, United States - Growth Associate New York, NY, New York, United States TL;DR : We're hiring a Growth Associate to work directly with our Head of Growth to help scale Listen from $XX → $XXX ARR. You're curious, resourceful, analytical, and excited to join a fast-growing, early-stage startup in a career-defining role. You're willing to roll up your sleeves - no task is too small when it helps move the company forward. Min. 1-2 years of experience in growth, marketing, business operations, consulting, startups, or related fields preferred. Experience with B2B SaaS, growth experimentation, or GTM systems is a plus. Background Listen Labs is an AI-powered research platform that helps teams uncover insights from customer interviews in hours - not months. We help customers analyze conversations, surface themes, and make faster, smarter product decisions. Company highlights - entirely product-led: - World-Class Team: Founded by serial entrepreneurs (previous AI exit), former co-founders, and talent from Jane Street, Twitter, Stripe, Affirm, Bain, Goldman Sachs, and many more Sequoia-backed startups (plus IOI/ICPC backgrounds). - Hypergrowth: We're a 30-person team backed by Sequoia, growing from $0 to a $12M run-rate in under a year. We move fast, care deeply about craft, and love working with people who take ownership. - Traction: Rapid growth across segments with enterprise wins at Google, Microsoft, Nestlé, and P&G. - Performance: Industry-leading win rate driven by a highly differentiated product. - Market Validation: Consistently winning customers across all segments with over six-figure lands that lead to quick expansions. - Viral Product: Interviews

", "datePosted": "2026-05-30T00:02:36.864Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Listen Labs", "value": "4ec950d3b85436d4f69bac9cef8777c3" }, "hiringOrganization": { "@type": "Organization", "name": "Listen Labs" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US", "addressLocality": "New York, NY" } }, "directApply": false, "incentiveCompensation": "Equity (Options)", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 24 }, "educationRequirements": "no requirements", "url": "https://fewerjobs.com/jobs/listen-labs/growth-associate-4ec950d3" } }, { "@type": "ListItem", "position": 4, "url": "https://fewerjobs.com/jobs/listen-labs/founding-research-scientist-human-simulation-715d8cab", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Founding Research Scientist, Human Simulation", "description": "

Founding Research Scientist, Human Simulation at Listen Labs - San Francisco, CA, San Francisco, California, United States - Founding Research Scientist, Human Simulation San Francisco, CA, San Francisco, California, United States Founding Research Scientist, Human Simulation TL;DR: Listen is building a human-preference model that companies and AI agents query to predict what people think, want, and decide. We're hiring a founding researcher to lead our simulation initiative, the model that lets AI systems predict what humans would think, want, and decide. Sequoia-backed, $100M raised, customers include Anthropic, Google, and Cursor. Background As AI gets better at building things, the bottleneck shifts to knowing what to build. We're the bridge between AI systems and what humans actually want. Today our customers are companies. Soon, AIs themselves will be our customers. Our platform runs AI-moderated video interviews at massive scale. We find the right people from a network of millions, our AI conducts open-ended conversations with thousands of them in parallel, and we surface what to build next. What used to take research teams weeks per study, we do in hours. Where it's going: every interview feeds a human preference model. We simulate human behavior at scale: how people react to new ideas, how they make decisions, how preferences shape markets, and how change ripples through society. We expose this as the Human API. An AI agent writes code, asks Listen whether users would actually want a feature, gets a grounded answer back, and iterates. Closed loop product development at AI speed. Every coding agent will eventually need this signal. Company highlights - Series B with $100M raised from Sequoia,

", "datePosted": "2026-05-06T07:48:28.878Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Listen Labs", "value": "715d8cab394440e32819b6db126de4e5" }, "hiringOrganization": { "@type": "Organization", "name": "Listen Labs" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US", "addressLocality": "San Francisco, CA, San Francisco" } }, "directApply": false, "incentiveCompensation": "Equity (Options)", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 36 }, "educationRequirements": "no requirements", "url": "https://fewerjobs.com/jobs/listen-labs/founding-research-scientist-human-simulation-715d8cab" } }, { "@type": "ListItem", "position": 5, "url": "https://fewerjobs.com/jobs/listen-labs/founding-product-designer-33b4842a", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Founding Product Designer", "description": "

Founding Product Designer at Listen Labs - San Francisco, CA, San Francisco, California, United States - Founding Product Designer San Francisco, CA, San Francisco, California, United States TL;DR: We're hiring a Founding Product Designer to turn complex, week-long consulting projects into elegant, simple experiences powered by AI. If you love rethinking products from the ground up, turning complexity into beauty, and obsessing over every detail, we should talk. Background Listen Labs is an AI-powered research platform that helps teams uncover insights from customer interviews in hours - not months. We help customers analyze conversations, surface themes, and make faster, smarter product decisions. Company highlights - entirely product-led: - World-Class Team: Founded by serial entrepreneurs (previous AI exit), former co-founders, and talent from Jane Street, Twitter, Stripe, Affirm, Bain, Goldman Sachs, and many more Sequoia-backed startups (plus IOI/ICPC backgrounds). - Hypergrowth: We're a 30-person team backed by Sequoia, growing from $0 to a $10M run-rate in under a year. We move fast, care deeply about craft, and love working with people who take ownership. - Traction: Rapid growth across segments with enterprise wins at Google, Microsoft, Nestlé, and P&G. - Performance: Industry-leading win rate driven by a highly differentiated product. - Market Validation: Consistently winning customers across all segments with over six-figure lands that lead to quick expansions. - Viral Product: Interviews are shared with tens of thousands of viewers, fueling PLG, organic expansion, and daily inbound from Fortune 500s. What You'll Do - Lead end-to-end design across all customer-facing experiences, creating a seamless and intuitive journey from first touch to long-term engagement. - Define and evolve

", "datePosted": "2026-05-05T22:16:27.775Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Listen Labs", "value": "33b4842a279444599d755b8f0e8c892b" }, "hiringOrganization": { "@type": "Organization", "name": "Listen Labs" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US", "addressLocality": "San Francisco, CA, San Francisco" } }, "directApply": false, "incentiveCompensation": "Equity (Options)", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 36 }, "educationRequirements": "no requirements", "url": "https://fewerjobs.com/jobs/listen-labs/founding-product-designer-33b4842a" } }, { "@type": "ListItem", "position": 6, "url": "https://fewerjobs.com/jobs/listen-labs/account-executive-strategic-accounts-0f910540", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Account Executive, Strategic Accounts", "description": "

Account Executive, Strategic Accounts at Listen Labs - San Francisco, CA, San Francisco, California, United States, Austin, TX, New York, NY - Account Executive, Strategic Accounts San Francisco, CA, San Francisco, California, United States, Austin, TX, New York, NY TL;DR: We're hiring a killer Strategic AE to go after ~50 of the largest companies in the world. This is not a volume role. This is a high-stakes, high-impact seat focused on landing and expanding 6-7 figure deals inside complex, global enterprises. You'll work directly with our VP of Revenue to win accounts that define the company. If you've consistently closed big deals, built executive relationships, and want a shot at a career-defining run - keep reading. Background Listen Labs is an AI-powered research platform that helps teams uncover insights from customer interviews in hours - not months. We help customers analyze conversations, surface themes, and make faster, smarter product decisions. Company highlights - entirely product-led: - World-Class Team: Founded by serial entrepreneurs (previous AI exit), former co-founders, and talent from Jane Street, Twitter, Stripe, Affirm, Bain, Goldman Sachs, and many more Sequoia-backed startups (plus IOI/ICPC backgrounds). - Hypergrowth: We're a fast-growing team backed by top-tier investors that's grown several-fold in the past year, and we're set on multiplying that again. We move fast, care deeply about craft, and love working with people who take ownership. - Traction: Rapid growth across segments with enterprise wins at Google, Microsoft, Nestlé, and P&G. - Performance: Industry-leading win rate driven by a highly differentiated product. - Market Validation: Consistently winning customers across all segments with over six-figure lands that lead to quick expansions. - Viral Product:

", "datePosted": "2026-04-23T18:07:26.825Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Listen Labs", "value": "0f910540d1c86a1084a733a8ca60a0d5" }, "hiringOrganization": { "@type": "Organization", "name": "Listen Labs" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US", "addressLocality": "San Francisco, CA, San Francisco, California, United States, Austin, TX" } }, "directApply": false, "incentiveCompensation": "Equity (Options)", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 60 }, "educationRequirements": "no requirements", "url": "https://fewerjobs.com/jobs/listen-labs/account-executive-strategic-accounts-0f910540" } }, { "@type": "ListItem", "position": 7, "url": "https://fewerjobs.com/jobs/listen-labs/founding-content-strategy-lead-c9e73fb8", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Founding Content Strategy Lead", "description": "

Founding Content Strategy Lead at Listen Labs - San Francisco, CA, San Francisco, California, United States, New York, NY - Founding Content Strategy Lead San Francisco, CA, San Francisco, California, United States, New York, NY TL;DR: We're hiring our first Content Marketing Lead to work directly with our Head of Marketing to help scale Listen from $XXM → $100M+ ARR . This role is for someone who loves the craft and the strategy: you're interviewing customers, writing the scripts, penning research papers, and stepping in front of the camera when needed. Expect to move fast, run tight experiments, scale what works, and grow your career! Min. 8+ years in B2B SaaS content, product marketing, editorial, or brand storytelling roles. Comfort with video, social-first content, and customer storytelling is important. Prior experience as a social media creator is a plus. Background Listen Labs is an AI-powered research platform that helps teams uncover insights from customer interviews in hours - not months. We help customers analyze conversations, surface themes, and make faster, smarter product decisions. Company highlights - entirely product-led: - World-Class Team: Founded by serial entrepreneurs (previous AI exit), former co-founders, and talent from Jane Street, Twitter, Stripe, Affirm, Bain, Goldman Sachs, and many more Sequoia-backed startups (plus IOI/ICPC backgrounds). - Hypergrowth: We're a fast-growing team backed by top-tier investors that's grown several-fold in the past year, and we're set on multiplying that again. We move fast, care deeply about craft, and love working with people who take ownership. - Traction: Rapid growth across segments with enterprise wins at Google, Microsoft, Nestlé, and P&G. - Performance: Industry-leading win rate driven by

", "datePosted": "2026-03-21T22:49:48.067Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Listen Labs", "value": "c9e73fb84e7f9ae3d94e774555b87874" }, "hiringOrganization": { "@type": "Organization", "name": "Listen Labs" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US", "addressLocality": "San Francisco, CA, San Francisco, California, United States" } }, "directApply": false, "incentiveCompensation": "Equity (Options)", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 60 }, "educationRequirements": "no requirements", "url": "https://fewerjobs.com/jobs/listen-labs/founding-content-strategy-lead-c9e73fb8" } }, { "@type": "ListItem", "position": 8, "url": "https://fewerjobs.com/jobs/listen-labs/founding-events-lead-25311b8d", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Founding Events Lead", "description": "

Founding Events Lead at Listen Labs - San Francisco, CA, San Francisco, California, United States, New York, NY - Founding Events Lead San Francisco, CA, San Francisco, California, United States, New York, NY TL;DR : We're hiring a our first Events Lead to work directly with our Head of Marketing and help scale Listen from $XXM → $100M+ ARR . You'll help shape how our brand and message goes to market by creating curated event experiences that customers actually want to attend. This is a high-ownership role for someone who combines taste, creativity, and detail-oriented execution and wants to help build 0-1 at a breakout company in the AI era. Min. 4+ years in B2B SaaS corporate events, field marketing, or related roles. You should have strong creative judgment, experience producing standout events, and the ability to move fluidly between big-picture thinking and hands-on execution. Excitement about travel and working in a fast-paced startup environment is important. Background Listen Labs is an AI-powered research platform that helps teams uncover insights from customer interviews in hours - not months. We help customers analyze conversations, surface themes, and make faster, smarter product decisions. Company highlights - entirely product-led: - World-Class Team: Founded by serial entrepreneurs (previous AI exit), former co-founders, and talent from Jane Street, Twitter, Stripe, Affirm, Bain, Goldman Sachs, and many more Sequoia-backed startups (plus IOI/ICPC backgrounds). - Hypergrowth: We're a fast-growing team backed by top-tier investors that's grown several-fold in the past year, and we're set on multiplying that again. We move fast, care deeply about craft, and love working with people who take ownership. - Traction: Rapid

", "datePosted": "2026-03-21T22:39:22.668Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Listen Labs", "value": "25311b8d324bc0a9c4fa3ca2efd75b3e" }, "hiringOrganization": { "@type": "Organization", "name": "Listen Labs" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US", "addressLocality": "San Francisco, CA, San Francisco, California, United States" } }, "directApply": false, "incentiveCompensation": "Equity (Options)", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 60 }, "educationRequirements": "no requirements", "url": "https://fewerjobs.com/jobs/listen-labs/founding-events-lead-25311b8d" } }, { "@type": "ListItem", "position": 9, "url": "https://fewerjobs.com/jobs/listen-labs/client-operations-lead-5658fbf1", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Client Operations Lead", "description": "

Client Operations Lead at Listen Labs - San Francisco, CA, San Francisco, California, United States - Client Operations Lead San Francisco, CA, San Francisco, California, United States TL;DR: We're hiring a Client Operations Lead to be the operational backbone of our research delivery engine. You'll ensure every study runs on time, on spec, and at high quality.. Background Listen Labs is an AI-powered research platform that helps teams uncover insights from customer interviews in hours - not months. We help customers analyze conversations, surface themes, and make faster, smarter product decisions. Company highlights - entirely product-led: - World-Class Team: Founded by serial entrepreneurs (previous AI exit), former co-founders, and talent from Jane Street, Twitter, Stripe, Affirm, Bain, Goldman Sachs, and many more Sequoia-backed startups (plus IOI/ICPC backgrounds). - Hypergrowth: We're a fast-growing team backed by top-tier investors that's grown several-fold in the past year, and we're set on multiplying that again. We move fast, care deeply about craft, and love working with people who take ownership. - Traction: Rapid growth across segments with enterprise wins at Google, Microsoft, Nestlé, and P&G. - Performance: Industry-leading win rate driven by a highly differentiated product. - Market Validation: Consistently winning customers across all segments with over six-figure lands that lead to quick expansions. - Viral Product: Interviews are shared with tens of thousands of viewers, fueling PLG, organic expansion, and daily inbound from Fortune 500s. What You'll Do - Own operational delivery across a high volume of concurrent research studies - ensuring nothing slips. - Monitor incoming studies and ensure they're properly scoped, staffed, and progressing smoothly. - Coordinate

", "datePosted": "2026-03-04T23:54:54.081Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Listen Labs", "value": "5658fbf17d57cd77a44fed0d71578075" }, "hiringOrganization": { "@type": "Organization", "name": "Listen Labs" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US", "addressLocality": "San Francisco, CA, San Francisco" } }, "baseSalary": { "@type": "MonetaryAmount", "currency": "USD", "value": { "@type": "QuantitativeValue", "minValue": 90000, "maxValue": 110000, "unitText": "YEAR" } }, "directApply": false, "incentiveCompensation": "Equity (Options)", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 60 }, "educationRequirements": "no requirements", "url": "https://fewerjobs.com/jobs/listen-labs/client-operations-lead-5658fbf1" } }, { "@type": "ListItem", "position": 10, "url": "https://fewerjobs.com/jobs/listen-labs/member-of-technical-staff-tech-lead-5c94c059", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Member of Technical Staff, Tech Lead", "description": "

Member of Technical Staff, Tech Lead at Listen Labs - San Francisco, CA, San Francisco, California, United States, New York, NY - Member of Technical Staff, Tech Lead San Francisco, CA, San Francisco, California, United States, New York, NY TL;DR: Listen teaches AI what people actually think and want. We're Sequoia-backed, raised $100M, and our customers include Anthropic, Google, and Cursor. We're hiring engineers who can build a complex AI-native product on a small team of former founders and top-tier builders. Background As AI gets better at building things, the bottleneck shifts to knowing what to build. We're the bridge between AI systems and what humans actually want. Today our customers are companies. Soon, AIs themselves will be our customers. Our platform runs AI-moderated video interviews at massive scale. We find the right people from a network of millions, our AI conducts open-ended conversations with thousands of them in parallel, and we surface what to build next. What used to take research teams weeks per study, we do in hours. Where it's going: every interview feeds a human preference model. We simulate human behavior at scale: how people react to new ideas, how they make decisions, how preferences shape markets, and how change ripples through society. We expose this as the Human API. An AI agent writes code, asks Listen whether users would actually want a feature, gets a grounded answer back, and iterates. Closed-loop product development at AI speed. Every coding agent will eventually need this signal. Company highlights - Series B with $100M raised from Sequoia, Conviction, Ribbit, AI Grant, and Pear VC. - Selective team of - Customers include

", "datePosted": "2026-02-25T22:54:46.107Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Listen Labs", "value": "5c94c0599b4fb33bc5cdba06045d1aae" }, "hiringOrganization": { "@type": "Organization", "name": "Listen Labs" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US", "addressLocality": "San Francisco, CA, San Francisco, California, United States" } }, "directApply": false, "incentiveCompensation": "Equity (Options)", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 60 }, "educationRequirements": "no requirements", "url": "https://fewerjobs.com/jobs/listen-labs/member-of-technical-staff-tech-lead-5c94c059" } }, { "@type": "ListItem", "position": 11, "url": "https://fewerjobs.com/jobs/listen-labs/member-of-technical-staff-platform-53c906e3", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Member of Technical Staff, Platform", "description": "

Member of Technical Staff, Platform at Listen Labs - San Francisco, CA, San Francisco, California, United States, New York, NY - Member of Technical Staff, Platform San Francisco, CA, San Francisco, California, United States, New York, NY TL;DR: Listen teaches AI what people actually think and want. We're Sequoia-backed, raised $100M, and our customers include Anthropic, Google, and Cursor. We're hiring engineers who can build a complex AI-native product on a small team of former founders and top-tier builders. Background As AI gets better at building things, the bottleneck shifts to knowing what to build. We're the bridge between AI systems and what humans actually want. Today our customers are companies. Soon, AIs themselves will be our customers. Our platform runs AI-moderated video interviews at massive scale. We find the right people from a network of millions, our AI conducts open-ended conversations with thousands of them in parallel, and we surface what to build next. What used to take research teams weeks per study, we do in hours. Where it's going: every interview feeds a human preference model. We simulate human behavior at scale: how people react to new ideas, how they make decisions, how preferences shape markets, and how change ripples through society. We expose this as the Human API. An AI agent writes code, asks Listen whether users would actually want a feature, gets a grounded answer back, and iterates. Closed-loop product development at AI speed. Every coding agent will eventually need this signal. Company highlights - Series B with $100M raised from Sequoia, Conviction, Ribbit, AI Grant, and Pear VC. - Selective team of - Customers include Anthropic,

", "datePosted": "2026-02-25T22:51:06.627Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Listen Labs", "value": "53c906e379c6c31356229cb0f971f5cf" }, "hiringOrganization": { "@type": "Organization", "name": "Listen Labs" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US", "addressLocality": "San Francisco, CA, San Francisco, California, United States" } }, "directApply": false, "incentiveCompensation": "Equity (Options)", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 36 }, "educationRequirements": "no requirements", "url": "https://fewerjobs.com/jobs/listen-labs/member-of-technical-staff-platform-53c906e3" } }, { "@type": "ListItem", "position": 12, "url": "https://fewerjobs.com/jobs/listen-labs/member-of-technical-staff-research-engineering-c82c402b", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Member of Technical Staff, Research Engineering", "description": "

Member of Technical Staff, Research Engineering at Listen Labs - San Francisco, CA, San Francisco, California, United States - Member of Technical Staff, Research Engineering San Francisco, CA, San Francisco, California, United States Member of Technical Staff, Product TL;DR: Listen teaches AI what people actually think and want. We're Sequoia-backed, raised $100M, and our customers include Anthropic, Google, and Cursor. We're hiring engineers who can build a complex AI-native product on a small team of former founders and top-tier builders. Background As AI gets better at building things, the bottleneck shifts to knowing what to build. We're the bridge between AI systems and what humans actually want. Today our customers are companies. Soon, AIs themselves will be our customers. Our platform runs AI-moderated video interviews at massive scale. We find the right people from a network of millions, our AI conducts open-ended conversations with thousands of them in parallel, and we surface what to build next. What used to take research teams weeks per study, we do in hours. Where it's going: every interview feeds a human preference model. We simulate human behavior at scale: how people react to new ideas, how they make decisions, how preferences shape markets, and how change ripples through society. We expose this as the Human API. An AI agent writes code, asks Listen whether users would actually want a feature, gets a grounded answer back, and iterates. Closed-loop product development at AI speed. Every coding agent will eventually need this signal. Company highlights - Series B with $100M raised from Sequoia, Conviction, Ribbit, AI Grant, and Pear VC. - Selective team of -

", "datePosted": "2026-02-25T22:49:27.436Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Listen Labs", "value": "c82c402b8085b317d953c3d8dad1f0f8" }, "hiringOrganization": { "@type": "Organization", "name": "Listen Labs" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US", "addressLocality": "San Francisco, CA, San Francisco" } }, "directApply": false, "incentiveCompensation": "Equity (Options)", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 36 }, "educationRequirements": "no requirements", "url": "https://fewerjobs.com/jobs/listen-labs/member-of-technical-staff-research-engineering-c82c402b" } }, { "@type": "ListItem", "position": 13, "url": "https://fewerjobs.com/jobs/listen-labs/member-of-technical-staff-agent-engineering-6a7f78a2", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Member of Technical Staff, Agent Engineering", "description": "

Member of Technical Staff, Agent Engineering at Listen Labs - San Francisco, CA, San Francisco, California, United States, New York, NY - Member of Technical Staff, Agent Engineering San Francisco, CA, San Francisco, California, United States, New York, NY TL;DR: Listen teaches AI what people actually think and want. We're Sequoia-backed, raised $100M, and our customers include Anthropic, Google, and Cursor. We're hiring engineers who can build a complex AI-native product on a small team of former founders and top-tier builders. Background As AI gets better at building things, the bottleneck shifts to knowing what to build. We're the bridge between AI systems and what humans actually want. Today our customers are companies. Soon, AIs themselves will be our customers. Our platform runs AI-moderated video interviews at massive scale. We find the right people from a network of millions, our AI conducts open-ended conversations with thousands of them in parallel, and we surface what to build next. What used to take research teams weeks per study, we do in hours. Where it's going: every interview feeds a human preference model. We simulate human behavior at scale: how people react to new ideas, how they make decisions, how preferences shape markets, and how change ripples through society. We expose this as the Human API. An AI agent writes code, asks Listen whether users would actually want a feature, gets a grounded answer back, and iterates. Closed-loop product development at AI speed. Every coding agent will eventually need this signal. Company highlights - Series B with $100M raised from Sequoia, Conviction, Ribbit, AI Grant, and Pear VC. - Selective team of - Customers include

", "datePosted": "2026-02-25T22:48:30.267Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Listen Labs", "value": "6a7f78a213d3e3e5f0df8dc9cee55054" }, "hiringOrganization": { "@type": "Organization", "name": "Listen Labs" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US", "addressLocality": "San Francisco, CA, San Francisco, California, United States" } }, "directApply": false, "incentiveCompensation": "Equity (Options)", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 36 }, "educationRequirements": "no requirements", "url": "https://fewerjobs.com/jobs/listen-labs/member-of-technical-staff-agent-engineering-6a7f78a2" } }, { "@type": "ListItem", "position": 14, "url": "https://fewerjobs.com/jobs/listen-labs/lead-gtm-engineer-82376d81", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Lead GTM Engineer", "description": "

Lead GTM Engineer at Listen Labs - New York, NY, New York, United States, San Francisco, CA - Lead GTM Engineer New York, NY, New York, United States, San Francisco, CA TL;DR: We're hiring a Lead GTM Engineer to work directly with our Head of Growth to scale Listen from $XX → $XXX ARR. You're a technical, systems-oriented, and energetic operator who's excited to join a fast-growing, early-stage startup in a career-defining role. You're willing to roll up your sleeves - no task is too small when it helps move the company forward. Min. 5+ years in GTM operations, sales engineering, or RevOps, ideally with experience building outbound motions and SDR systems. Prior experience in technical sales, data engineering, or growth/marketing operations is a plus. Background Listen Labs is an AI-powered research platform that helps teams uncover insights from customer interviews in hours - not months. We help customers analyze conversations, surface themes, and make faster, smarter product decisions. Company highlights - entirely product-led: - World-Class Team: Founded by serial entrepreneurs (previous AI exit), former co-founders, and talent from Jane Street, Twitter, Stripe, Affirm, Bain, Goldman Sachs, and many more Sequoia-backed startups (plus IOI/ICPC backgrounds). - Hypergrowth: We're a 40-person team backed by Sequoia, growing from $0 to a $14M run-rate in under a year. We move fast, care deeply about craft, and love working with people who take ownership. - Traction: Rapid growth across segments with enterprise wins at Google, Microsoft, Nestlé, and P&G. - Performance: Industry-leading win rate driven by a highly differentiated product. - Market Validation: Consistently winning customers across all segments with over six-figure

", "datePosted": "2026-02-11T00:41:20.238Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Listen Labs", "value": "82376d813d5dac9b595a48d14e891c1d" }, "hiringOrganization": { "@type": "Organization", "name": "Listen Labs" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US", "addressLocality": "New York, NY, New York, United States" } }, "directApply": false, "incentiveCompensation": "Equity (Options)", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 60 }, "educationRequirements": "no requirements", "url": "https://fewerjobs.com/jobs/listen-labs/lead-gtm-engineer-82376d81" } }, { "@type": "ListItem", "position": 15, "url": "https://fewerjobs.com/jobs/listen-labs/founding-product-manager-a81ec1a9", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Founding Product Manager", "description": "

Founding Product Manager at Listen Labs - San Francisco, CA, San Francisco, California, United States - Founding Product Manager San Francisco, CA, San Francisco, California, United States TL;DR : As our Founding Product Manager, you'll own core parts of the product that power this experience end-to-end: how teams ask questions, how AI designs and runs research, and how insights are synthesized and delivered into decision-ready outputs. You'll operate in a true 0 to 1 environment, partnering closely with engineering, design, research, and GTM to turn an ambitious vision into a scalable, compounding product. This is a high-ownership role for someone excited to build a foundational product surface area at the intersection of AI, customer research, and real-world decision-making. Background Listen Labs is an AI-powered research platform that helps teams uncover insights from customer interviews in hours, not months. We help customers analyze conversations, surface themes, and make faster, smarter product decisions. Company highlights that were entirely product-led: - World-Class Team: Founded by serial entrepreneurs (previous AI exit), former co-founders, and talent from Jane Street, Twitter, Stripe, Affirm, Bain, Goldman Sachs, and many more Sequoia-backed startups (plus IOI/ICPC backgrounds). - Hypergrowth: We're a fast-growing team backed by top-tier investors that's grown several-fold in the past year, and we're set on multiplying that again. We move fast, care deeply about craft, and love working with people who take ownership. - Traction: Rapid growth across segments with enterprise wins at Google, Microsoft, Nestlé, and P&G. - Performance: Industry-leading win rate driven by a highly differentiated product. - Market Validation: Consistently winning customers across all segments with over six-figure lands

", "datePosted": "2026-01-22T18:23:28.074Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Listen Labs", "value": "a81ec1a92973b6427e4a941693167da9" }, "hiringOrganization": { "@type": "Organization", "name": "Listen Labs" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US", "addressLocality": "San Francisco, CA, San Francisco" } }, "baseSalary": { "@type": "MonetaryAmount", "currency": "USD", "value": { "@type": "QuantitativeValue", "minValue": 175000, "maxValue": 280000, "unitText": "YEAR" } }, "directApply": false, "incentiveCompensation": "Equity (Options)", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 60 }, "educationRequirements": "no requirements", "url": "https://fewerjobs.com/jobs/listen-labs/founding-product-manager-a81ec1a9" } }, { "@type": "ListItem", "position": 16, "url": "https://fewerjobs.com/jobs/listen-labs/account-executive-enterprise-9bb1166e", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Account Executive, Enterprise", "description": "

Account Executive, Enterprise at Listen Labs - New York, NY, New York, United States, San Francisco, CA, Austin, TX - Account Executive, Enterprise New York, NY, New York, United States, San Francisco, CA, Austin, TX TL;DR: We're hiring Enterprise AEs to drive new business and expansion across mid-to-large enterprise accounts. You'll partner closely with our VP of Revenue to land high-value customers and grow them over time. This is a consultative, multi-threaded sale - not transactional - with clear path to six-figure deals and meaningful expansions. Background Listen Labs is an AI-powered research platform that helps teams uncover insights from customer interviews in hours - not months. We help customers analyze conversations, surface themes, and make faster, smarter product decisions. Company highlights - entirely product-led: - World-Class Team: Founded by serial entrepreneurs (previous AI exit), former co-founders, and talent from Jane Street, Twitter, Stripe, Affirm, Bain, Goldman Sachs, and many more Sequoia-backed startups (plus IOI/ICPC backgrounds). - Hypergrowth: We're a fast-growing team backed by top-tier investors that's grown several-fold in the past year, and we're set on multiplying that again. We move fast, care deeply about craft, and love working with people who take ownership. - Traction: Rapid growth across segments with enterprise wins at Google, Microsoft, Nestlé, and P&G. - Performance: Industry-leading win rate driven by a highly differentiated product. - Market Validation: Consistently winning customers across all segments with over six-figure lands that lead to quick expansions. - Viral Product: Interviews are shared with tens of thousands of viewers, fueling PLG, organic expansion, and daily inbound from Fortune 500s. What You'll Do - Outreach + engagement : contact

", "datePosted": "2026-01-06T02:44:51.489Z", "employmentType": "CONTRACTOR", "identifier": { "@type": "PropertyValue", "name": "Listen Labs", "value": "9bb1166e04ffcc62fc777c3b94a598ae" }, "hiringOrganization": { "@type": "Organization", "name": "Listen Labs" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US", "addressLocality": "New York, NY, New York, United States, San Francisco, CA" } }, "estimatedSalary": { "@type": "MonetaryAmount", "currency": "USD", "value": { "@type": "QuantitativeValue", "minValue": 50000, "maxValue": 250000, "unitText": "YEAR" }, "description": "On-target earnings" }, "directApply": false, "incentiveCompensation": "Equity (Options)", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 60 }, "educationRequirements": "no requirements", "url": "https://fewerjobs.com/jobs/listen-labs/account-executive-enterprise-9bb1166e" } }, { "@type": "ListItem", "position": 17, "url": "https://fewerjobs.com/jobs/listen-labs/growth-lead-75450072", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Growth Lead", "description": "

Growth Lead at Listen Labs - New York, NY, New York, United States, San Francisco, CA - Growth Lead New York, NY, New York, United States, San Francisco, CA TL;DR: We're hiring a seasoned growth Lead to work directly with our Head of Growth to scale Listen from $XX → $XXX ARR. You're a creative, data-driven, and energetic marketer who's excited to join a fast-growing, early-stage startup in a career-defining role. You're willing to roll up your sleeves - no task is too small when it helps move the company forward. Min. 5+ years in B2B SaaS growth marketing, ideally with experience reaching product, design, or marketing teams. Prior consulting (management, strategy, or growth) or investment banking experience is a plus. Background Listen Labs is an AI-powered research platform that helps teams uncover insights from customer interviews in hours - not months. We help customers analyze conversations, surface themes, and make faster, smarter product decisions. Company highlights - entirely product-led: - World-Class Team: Founded by serial entrepreneurs (previous AI exit), former co-founders, and talent from Jane Street, Twitter, Stripe, Affirm, Bain, Goldman Sachs, and many more Sequoia-backed startups (plus IOI/ICPC backgrounds). - Hypergrowth: We're a 40-person team backed by Sequoia, growing from $0 to a $14M run-rate in under a year. We move fast, care deeply about craft, and love working with people who take ownership. - Traction: Rapid growth across segments with enterprise wins at Google, Microsoft, Nestlé, and P&G. - Performance: Industry-leading win rate driven by a highly differentiated product. - Market Validation: Consistently winning customers across all segments with over six-figure lands that lead

", "datePosted": "2026-01-06T02:27:46.433Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Listen Labs", "value": "754500724edbbfeebbe27ea0703b01fd" }, "hiringOrganization": { "@type": "Organization", "name": "Listen Labs" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US", "addressLocality": "New York, NY, New York, United States" } }, "directApply": false, "incentiveCompensation": "Equity (Options)", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 60 }, "educationRequirements": "no requirements", "url": "https://fewerjobs.com/jobs/listen-labs/growth-lead-75450072" } }, { "@type": "ListItem", "position": 18, "url": "https://fewerjobs.com/jobs/listen-labs/insights-strategist-7fd27eb3", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Insights Strategist", "description": "

Insights Strategist at Listen Labs - San Francisco, CA, San Francisco, California, United States - Insights Strategist San Francisco, CA, San Francisco, California, United States TL;DR: We're hiring for our Insight Strategist team to help our customers unlock the full value of Listen Labs. You'll partner directly with product, research, and marketing leaders at some of the world's most innovative companies to translate data into decisions. Background Listen Labs is an AI-powered research platform that helps teams uncover insights from customer interviews in hours - not months. We help customers analyze conversations, surface themes, and make faster, smarter product decisions. Company highlights - entirely product-led: - World-Class Team: Founded by serial entrepreneurs (previous AI exit), former co-founders, and talent from Jane Street, Twitter, Stripe, Affirm, Bain, Goldman Sachs, and many more Sequoia-backed startups (plus IOI/ICPC backgrounds). - Hypergrowth: We're a fast-growing team backed by top-tier investors that's grown several-fold in the past year, and we're set on multiplying that again. We move fast, care deeply about craft, and love working with people who take ownership. - Traction: Rapid growth across segments with enterprise wins at Google, Microsoft, Nestlé, and P&G. - Performance: Industry-leading win rate driven by a highly differentiated product. - Market Validation: Consistently winning customers across all segments with over six-figure lands that lead to quick expansions. - Viral Product: Interviews are shared with tens of thousands of viewers, fueling PLG, organic expansion, and daily inbound from Fortune 500s. What You'll Do - Build trusted relationships with product, research, and insights leaders - helping them connect the dots between customer feedback and business

", "datePosted": "2025-11-06T22:56:31.674Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Listen Labs", "value": "7fd27eb3c912a4d18ee90b0e1368c43d" }, "hiringOrganization": { "@type": "Organization", "name": "Listen Labs" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US", "addressLocality": "San Francisco, CA, San Francisco" } }, "baseSalary": { "@type": "MonetaryAmount", "currency": "USD", "value": { "@type": "QuantitativeValue", "minValue": 90000, "maxValue": 150000, "unitText": "YEAR" } }, "directApply": false, "incentiveCompensation": "Equity (Options)", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 72 }, "educationRequirements": "no requirements", "url": "https://fewerjobs.com/jobs/listen-labs/insights-strategist-7fd27eb3" } }, { "@type": "ListItem", "position": 19, "url": "https://fewerjobs.com/jobs/listen-labs/member-of-technical-staff-product-398daef9", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Member of Technical Staff, Product", "description": "

Member of Technical Staff, Product at Listen Labs - San Francisco, CA, San Francisco, California, United States, New York, NY - Member of Technical Staff, Product San Francisco, CA, San Francisco, California, United States, New York, NY Member of Technical Staff, Product TL;DR: Listen teaches AI what people actually think and want. We're Sequoia-backed, raised $100M, and our customers include Anthropic, Google, and Cursor. We're hiring engineers who can build a complex AI-native product on a small team of former founders and top-tier builders. Background As AI gets better at building things, the bottleneck shifts to knowing what to build. We're the bridge between AI systems and what humans actually want. Today our customers are companies. Soon, AIs themselves will be our customers. Our platform runs AI-moderated video interviews at massive scale. We find the right people from a network of millions, our AI conducts open-ended conversations with thousands of them in parallel, and we surface what to build next. What used to take research teams weeks per study, we do in hours. Where it's going: every interview feeds a human preference model. We simulate human behavior at scale: how people react to new ideas, how they make decisions, how preferences shape markets, and how change ripples through society. We expose this as the Human API. An AI agent writes code, asks Listen whether users would actually want a feature, gets a grounded answer back, and iterates. Closed-loop product development at AI speed. Every coding agent will eventually need this signal. Company highlights - Series B with $100M raised from Sequoia, Conviction, Ribbit, AI Grant, and Pear VC. - Selective team

", "datePosted": "2025-03-20T02:05:22.484Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Listen Labs", "value": "398daef945f5d41155037a16fa526d8c" }, "hiringOrganization": { "@type": "Organization", "name": "Listen Labs" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US", "addressLocality": "San Francisco, CA, San Francisco, California, United States" } }, "directApply": false, "incentiveCompensation": "Equity (Options)", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 36 }, "educationRequirements": "no requirements", "url": "https://fewerjobs.com/jobs/listen-labs/member-of-technical-staff-product-398daef9" } } ] } ] }