Solve Intelligence jobs

Staff Product Analyst, Workday Total Rewards & HCM Bellevue, Washington; Chicago, Illinois; San Francisco, California; Washington, DC Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The Technology, Data, and Intelligence Team Okta is the leading independent identity provider. The Technology, Data, and Intelligence (TDI) organization is the engine that powers Okta's global workforce, providing the technology and systems that enable our employees to do their best work. The Staff Product Analyst Opportunity Okta is looking for a Staff Product Analyst, Workday Total Rewards & HCM to join our People Technology Team. Working closely with People Technology leaders, you will play a critical role in the ongoing global optimization of Okta's Workday platform, with a primary focus on Benefits and Advanced Compensation configuration and enhancements, while also supporting Core HCM processes as part of a broader Total Rewards scope. You will work across departments and geographies, partnering with teams across People, Payroll, IT, Finance, and international offices. This is a great fit for someone who enjoys solving complex problems, working cross-functionally, and making a

Machine Learning Engineer, Global Public Sector Doha, Qatar; London, UK Scale's mission is to develop reliable AI systems for the world's most important decisions. Our core work consists of: - Creating custom AI applications that will impact millions of citizens - Generating high-quality training data for national LLMs - Upskilling and advisory services to spread the impact of AI Scale is hiring ML Research Engineers to bridge the gap between emerging AI capabilities and mission-critical, real-world impact. In our Global Public Sector (GPS) division, we don't just implement tools; we conduct applied research to solve the unique challenges of sovereign AI. Your role is to move beyond off-the-shelf implementations. You will lead the research into Agent Design, Reliability, and AI Safety, developing novel system architectures that power high-stakes government applications. You will be the bridge between a research paper and a production-ready system that functions at scale. The Mission - Applied Agent Research: Leading the design of reliable, multi-step agentic systems and long-horizon reasoning frameworks that can solve complex problems for national security and public policy. - Systemic Evaluation & Red-Teaming: Developing rigorous benchmarks and evaluation protocols to ensure AI systems are safe, unbiased, and performant in high-stakes, non-commercial environments. - Model Optimisation & Selection: Conducting deep-dive research into model performance (both open-weight and closed) to identify the best tools for niche domains, optimising them through context engineering, RAG, and other inference-time techniques. What You Will Do - Architect Agentic Systems: Design and build agent architectures, the harnesses, tool-use protocols,

Sr BIE, AWS GDSP 3PX Seattle, Washington, USA Do you share a passion to make customers successful? Do you believe that a deep understanding of customer and business priorities can transform an organization? Are you excited to discover and solve thorny business challenges through data analytics and business intelligence (BI) solutions? Do you thrive in a dynamic environment working with diverse teams cutting across functions, organizations, and cultures to achieve a common goal? The Private Pricing Analytics and Insights team is a critical part of enabling the AWS Private Pricing business to achieve the highest standards of excellence for WW Commercial Operations. This role, based in London, will focus on Business Analytics and Business Intelligence related to Private Pricing Deals, requiring broad technical skills, strong business acumen and a deep analytical background to provide performance reporting, actionable insights and decision support. In this role, you will partner with Private Pricing leaders and teams by leveraging your analytical expertise to transform business requirements into actionable solutions. You'll develop a deep understanding of the AWS Private Pricing business to drive insights that are relevant and actionable. Your responsibilities will include building analytical and forecasting models, creating intuitive self-service dashboards and visualizations, and implementing automation solutions that drive process improvements across the organization. The individual must have the ability to communicate effectively across multiple technical and non-technical business units, as well as across other geographies. Successful members of this team collaborate effectively to solve data problems, implement new reporting solutions, and deliver successfully

AI Algorithm Research Intern – Neuromorphic Computing Mexico, Guadalajara posted: Posted 30+ Days Ago

Robotics Product Security Engineer Irvine, CA FieldAI's Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California's robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field. About the Job The Robotics Product Security Engineer will secure Field AI's autonomous robotic platforms operating in complex real-world environments. You will work closely with robotics, autonomy, and infrastructure teams to design, assess, and improve the security of deployed robotic systems throughout their lifecycle. Your work will directly impact the safety, resilience, and trustworthiness of autonomous systems deployed in the field. You will contribute to secure system design, threat modeling, deployment security, and adversarial assessment of robotic platforms operating under real-world conditions. FieldAI's Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California's robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and

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

Machine Learning/Computer Vision Engineer Sunnyvale, United States of America The Video Computer Vision organization is working on exciting technologies for future Apple products. Our team delivers computer vision and machine learning algorithms that power many Apple technologies like human understanding and human intelligence algorithms with applications for digital humans, health and AI. In this role, you will work closely with our team of experts in computer graphics, computer vision and machine learning to design and build solutions to previously unsolved challenges for Apple products and bring high impact to millions of users. We are looking for a skilled Machine Learning/Computer Vision Engineer with hands-on experience developing algorithms for human understanding and human intelligence applications. Responsibilities include but not limited to: - Adapt state-of-the-art algorithms, as well as design and implement new algorithms to solve challenging problems. - Collaborate with others to drive requirements and validation tests to ship models. - Take a practical approach to problem solving and adapt to an evolving environment. - Deliver clean, modular, testable algorithm code. - Communicate and work effectively with cross-functional partners. The ideal candidate should possess the following qualities: - Be highly-motivated and take initiative to achieve goals, while delivering on schedule. - Has a sense of curiosity and willingness to learn new things in order to improve the quality of their solutions. - Works well in a collaborative setting. Minimum Qualifications: BS and a minimum of 3 years relevant industry experience Software engineering skills and proficiency in Python and PyTorch. Preferred Qualifications:

AI Engineer Paris, Remote AI is central to 360Learning's strategy: our AI Squad ships agentic features that help users discover, create, and administrate content. As an AI Engineer, you'll architect and ship the next generation of these AI systems, from prototype to production. You will join the AI Squad as its second AI Engineer, working closely with 1 peer AI Engineer, 1 Product Manager, 1 Product Designer, and 4 Full-Stack Developers. You will own the technical strategy for AI features while collaborating directly with product, design, and engineering. Over the last year, we have shipped 5+ AI features powering thousands of users monthly: Catalog Companion: An AI agent performing bulk catalog operations (sharing, archiving, tagging, author assignments) Smart Search: conversational search helping users discover the right content Conversational BI : Analytics and insights delivered through natural conversation AI Course & Question Generation: Creating questions and full courses from documents and titles Content Recommendations: Personalized content discovery Our squad is unique because we operate in one of the fastest-moving fields in tech: AI! Within 1 month, you will: Within 3 months, you will: Within 6 months, you will: Within 12 months, you will: The Skill Set What We Offer Interview Process

Solutions Engineer - Enterprise - AMER San Francisco, California, San Francisco, California, United States, New York, New York Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn't to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business's system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life's work. About the Role Notion's sales motion is evolving from product‑led to sales‑led. Many customers start self‑serve, then partner with our team as they scale. As a Solutions Engineer focused on our Enterprise segment, you'll work with our largest prospects and customers to drive complex evaluations, design scalable architectures, and guide executive stakeholders through the journey from pilot to global rollout. You'll partner closely with Account Executives and cross-functional teams to run deep discovery, deliver tailored demos and POCs, and advise on security, governance, and integrations that

Customer Support Specialist London, United Kingdom Customer Support Specialist Are you the kind of person who genuinely enjoys solving problems, and wants to do it inside a company that's moving fast? Do you want to shape a function as it's being built, learn how a real AI product works, and be in the room when decisions get made? This is your chance to join a rocket ship. 🚀 🏗️ About the role We are looking for sharp, high-agency people to be the first line of support for our customers. You'll be joining the most lean, talent-dense, and fast-moving teams working alongside our attorneys, AI engineers, and GTM team to keep the bar on customer experience extraordinarily high. Our customers are patent attorneys at top law firms and in-house IP teams at some of the largest companies in the world. They are demanding, technical, and short on time. Today, a lot of their support tickets land on the desks of attorneys and engineers who should be building product. That doesn't scale, and it doesn't give customers the speed they deserve. You will fix that. You'll be responsible for: - Owning the first response on every inbound support ticket, across email, in-app chat, and Slack Connect channels. - Resolving the bulk of incoming tickets yourself: login issues, browser problems, account configuration, basic product questions, and walk-throughs of how to use Solve. - Triaging and routing complex tickets to the right attorney, AI engineer, or GTM owner with enough context that they can

Security Engineer San Francisco | OnSite Who We Are Cognition is an applied AI lab building end-to-end software agents. We are behind Devin, the first AI software engineer, and Windsurf, an AI-native IDE. Our vision is AI that works alongside engineers as a genuine teammate, not a tool. We are a small, talent-dense team of competitive programmers, former founders, and researchers from Scale AI, Palantir, Cursor, Google DeepMind, and others. Role Mission Security Engineers at Cognition own one of the most interesting security surfaces in the industry. Devin executes arbitrary code on behalf of users across millions of sandboxed sessions. Windsurf operates inside developer environments at scale. Both products handle highly sensitive customer code, credentials, and infrastructure access. You will help define what security looks like for AI-native developer tools and build the controls, systems, and culture that let Cognition ship fast without compromising on safety. This is a role for engineers who want to do hands-on, high-leverage security work at the edge of what is being figured out for the first time. What You'll Accomplish - Secure the agent execution surface: Design and harden the sandboxing, isolation, and runtime controls that let Devin safely execute untrusted code and use tools across long-horizon tasks. - Own product and infrastructure security: Lead threat modeling, secure design reviews, and vulnerability management across Devin, Windsurf, and the underlying infrastructure they run on. - Build security tooling that engineers actually use: Create internal systems for secrets management, identity and access, dependency security, and detection

Chief of Staff (Future Founder/VC) San Francisco | Hybrid | Remote ABOUT ABUNDANT As the need for scaling data becomes the core bottleneck to progress, moving from general knowledge to domain expertise, and from chatbots to agents. Abundant is solving this by designing and operating simulation infrastructure where next-generation models learn to reason and solve complex problems. Our team is composed of high-impact former founders, ML engineers, roboticists, and data leads from companies like Waymo and Google, with experience deploying models at 1B user scale. We partner with a majority of the top AI labs, frontier startups, and F500 enterprises to enable AGI, ASI, and physical intelligence. THE ROLE As Chief of Staff, you work directly with our CEO to define Abundant's next chapter. Oftentimes, this will involve a domain that you have no prior experience in. That prospect should excite you rather than instill fear. You'll be empowered to do whatever needs to be done to solve the problem, answer the question, or land the customer. WHAT YOU'LL DO In this role, you may be asked to: - research a new market that Abundant is considering entering - leading our outreach to venture capitalists - find an office to house our growing team WHO YOU ARE - Extreme owner - You have extreme agency and a founder mentality; you are resourceful and scrappy. - Gritty - you recognize that highly-ambitious startups like Abundant aren't easy or glamorous. You embrace every challenge set before you with grace and attack them

AI Engineer, Evaluation San Francisco, California, USA, New York About Distyl AI Distyl is an applied AI technology company partnering with the world's most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations. We research and deploy technologies that power AI-native operations - both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most reliable execution of AI systems, and products that transform mission-critical workflows. As a result, Distyl's technologies affect some of the world's largest operations - from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys. Distyl is backed by leading investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and the board-members of 20+ F500s. The results reflect this approach: a 100% production deployment success rate for our customers and one of the few enterprise AI companies to run a profitable business. What We Are Looking For At Distyl, we build AI systems using Evaluation-Driven Development -an approach where evaluation is not an afterthought, but the primary mechanism for iterating, improving, and trusting AI behavior in production. AI Evaluation Engineers focus on designing and implementing the evaluation systems that drive this process. They are hands-on engineers who write production Python code, build evaluation pipelines, and use structured signals to guide system design, prompt iteration, and deployment decisions for

Learning & Development Lead Antwerp | Hybrid | London | Remote WHAT WE ARE BUILDING AT CONVEO Conveo is the AI research platform enabling fast, affordable, and high-quality consumer / B2B research. Global brands use our AI video interviewer to generate insights across marketing, product, and research teams. #1 WHAT PROBLEM ARE WE SOLVING AND WHY IS THIS AN IMPORTANT PROBLEM TO SOLVE The traditional research methods companies rely on are slow, expensive, and superficial. Running great research requires expertise that most companies do not have. That directly affects how well businesses understand their customers and how well they can serve them. #2 THE TEAM YOU WILL JOIN You will join an extremely talented team of incredibly passionate, high-energy people. We go the extra mile while having the best time of our lives. Our team combines decades of market research knowledge, world-class engineering, and experience building companies. #3 HOW WE OPERATE - We truly care about our clients and the problem we solve. We humbly go the extra mile every time. - We work hard and we have fun. - To keep our quality bar incredibly high, we want to execute with the smallest possible team. ABOUT THE ROLE Conveo is growing from 20 to 170 people in 12 months. That is 10-15 new hires every month. At the same time, the product ships major updates every 1-2 weeks, and the company's positioning is evolving from "research platform" to "compounding customer intelligence layer." That combination is dangerous if nobody owns

AI Applications Engineer San Francisco, California, San Francisco, California, United States Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn't to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business's system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life's work. About The Role We're looking for an AI Applications Engineer to help drive Notion's business transformation efforts. In this role, you'll be a strategic partner to our internal stakeholders (primarily GTM, Finance and People teams) and deliver and scale creative AI-driven solutions to multi-faceted problems with measurable business impact. You'll also build reusable components, evaluation patterns, and operational guardrails that make AI delivery repeatable across teams. What You'll Achieve - Work with stakeholders to discover opportunities from ambiguous problem statements, translate them into scoped solutions, and drive iterative releases from idea to adoption

Forward Deployed Research Engineer (FDRE - Clearance) New York, US, New York, United States ABOUT POOLSIDE In this decade, the world will create Artificial General Intelligence. There will only be a small number of companies who will achieve this. Their ability to stack advantages and pull ahead will define the winners. These companies will move faster than anyone else. They will attract the world's most capable talent. They will be on the forefront of applied research, engineering, infrastructure and deployment at scale. They will continue to scale their training to larger & more capable models. They will be given the right to raise large amounts of capital along their journey to enable this. They will create powerful economic engines. They will obsess over the success of their users and customers. ABOUT OUR TEAM ABOUT THE ROLE As an FDRE, you'll be embedded with customers, figuring out how to build real agentic systems to solve hard problems. Hard problems aren't solved from an armchair; the right to solve them comes from experience, resilience, and a little scar tissue, earned by engaging with reality. This role gives you direct exposure to frontier AI R&D and a front-row seat to the most valuable problems and industries on the planet. You'll operate at the intersection of software engineering, applied AI and agent research, and product - designing and deploying high-reliability systems, while feeding signal back into our products and models. This role requires TS/SCI clearance . RESPONSIBILITIES FDREs work in small teams with the

Senior Applied Scientist, Alexa Sensitive Content Intelligence (ASCI) Bengaluru, Karnataka, IND Alexa+ is Amazon's next-generation, AI-powered virtual assistant. Building on the original Alexa, it uses generative AI to deliver a more conversational, personalised, and effective experience. Alexa Sensitive Content Intelligence (ASCI) team is developing responsible AI (RAI) solutions for Alexa+, empowering it to provide useful information responsibly. The Mission Build AI safety systems that protect millions of Alexa customers every day. As conversational AI evolves, you'll solve challenging problems in Responsible AI by ensuring LLMs provide safe, trustworthy responses, building AI systems that understand nuanced human values across cultures, and maintaining customer trust at scale. What You'll Build You'll pioneer breakthrough solutions in Responsible AI at Amazon's scale. Imagine training models that set new safety standards, designing automated testing systems that hunt for vulnerabilities before they surface, and certifying the systems that power millions of daily conversations. You'll create intelligent evaluation systems that judge responses with human-level insight, build models that truly understand what makes interactions safe and delightful, and craft feedback mechanisms that help Alexa+ grasp the nuances of complex customer conversations. Here's where it gets even more exciting: you'll build AI agents that act as your team's safety net-automatically detecting and fixing production issues in real-time, often before anyone notices there was a problem. Your innovations won't just improve Alexa+; they'll fundamentally shape how it learns, evolves, and earns customer trust. As Alexa+ continues to delight customers, your work ensures it becomes more trustworthy, safer, and deeply aligned

Solutions Engineer, Korea Seoul, South Korea, Seoul, South Korea Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn't to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business's system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life's work. About the Role The Notion sales organization has a strong Product Led Growth lean, with many customers entering our funnel through our self-service motion before our product grows toward being a wall-to-wall solution. As we grow, more and more prospects are investigating how Notion can integrate with their existing tech stack, replace existing solutions, or be deployed in large or phased implementation to support desired business goals. As an early member of the Solutions Engineering team, you will: - Partner with members of the sales org on customer engagements with prospective and existing customers -

Product Counsel, AI Regulatory, DeepMind New York, NY, USA; +2 more The DeepMind Legal team is seeking a Product Counsel to partner with our AI research, product, and cross-functional teams to provide strategic advice and support for launches and regulatory and litigation matters. As a trusted advisor to the business, you will collaborate with legal, policy, regulatory, and compliance teams across the company at the intersection of advanced AI and emerging laws to advance the missions of DeepMind and Google. In doing so, you will use AI tools to supercharge you and your team's work. Artificial intelligence will be one of humanity's most transformative inventions. At DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $316000 - $352000 (USD) + 25% bonus target + bonus + equity + benefits US: $344000 - $383000 (USD) + 25% bonus target + bonus + equity + benefits Learn more about benefits at Google . Advise DeepMind's research and product teams on the broad range of legal and

Business Intelligence Engineer, Cross Border Business Chennai, Tamil Nadu, IND Cross Border (XB) plays a pivotal role in Amazon's global expansion, enabling customer acquisition and Prime engagement by offering worldwide selection in both Footprint (FP) and Non-Footprint (NFP) countries. By analyzing cross-border data, we can more accurately identify customer preferences, predict demand, and tailor our offerings accordingly, enhancing sales and customer satisfaction. As a Business Intelligence Engineer, you will be deciphering our customers' ever-evolving needs and shaping solutions that elevate their experience with Amazon. A successful candidate will possess: Strong analytical and problem-solving skills, leveraging data and metrics to inform strategic decisions. Impeccable attention to detail and a clear and compelling communication skills, capable of articulating data insights to diverse stakeholders. Key job responsibilities Deliver on all analytics requirements across business areas. Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, data pipelines etc. to drive key business decisions. Ensure data accuracy by validating data for new and existing tools. Perform both ad-hoc and strategic data analyses Build various data visualizations to tell the story and let the data speak for itself. Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation. Build automation to reduce dependencies on manual data pulls etc. A day in the life A day in the life of Business Intelligence Engineer will include working closely with Product Managers and Software Developers. Working on building dashboards, performing root cause analysis and sharing actionable insights with the

Senior Business Intelligence Analyst El Segundo, CA, USA Senior Business Intelligence Analyst El Segundo, CA, USA Posted Friday, April 24, 2026 As a Senior Analyst at Cosm, you will be a data generalist responsible for driving insights across multiple facets of the business, including Finance, Pricing, Marketing, Product, Programming, and Sales. You'll own deep-dive analyses, build reporting frameworks, and partner directly with leaders to answer strategic business questions. This role is ideal for someone who enjoys variety, business problem-solving, and storytelling with data. Key Responsibilities Partner with cross-functional stakeholders to scope and deliver analyses that influence strategic and operational decisions. Design and build recurring reports and ad-hoc analyses across finance, marketing, programming, and product domains. Develop data-driven recommendations for pricing strategies, audience insights, and revenue optimization. Work closely with BI Developers to ensure reporting aligns with business logic and stakeholder needs. Contribute to the development of KPI frameworks and performance dashboards. Present findings and recommendations to senior leadership in clear, compelling narratives. Mentor junior analysts (as the team grows) and contribute to team-wide best practices in analytics. Qualifications 4-6 years of experience in analytics, business intelligence, or strategy roles. Strong SQL skills; experience with Databricks or other cloud data platforms preferred. Proficiency with data visualization tools (Tableau preferred). Comfort working with large, complex datasets and applying statistical techniques when needed. Strong business acumen with the ability to connect data findings to real-world business impact. Excellent storytelling, presentation, and communication skills. Experience in ticketed entertainment, media, or hospitality industries is a

Member of Technical Staff (AI Software Engineer, Agents) San Francisco, California, United States Perplexity is seeking energetic engineers to join our highly driven Agents engineering team. The Agents team consists of backend, full-stack, and AI/ML engineers who collaborate to build delightful agentic experiences within our Comet ecosystem and Perplexity Computer , our platform for generalized frontier intelligence. Our vision is to empower our users with AI agents that can faithfully actualize their intent, however and wherever expressed, through open-ended interactions with the world. As an engineer on our Agents team, you will bring AI expertise, sharp product intuition, and a tinkerer's mindset to advance the frontier of what agents can accomplish for our millions of devoted users. You will work across applied research and engineering to solve many open problems in AI, including: - Designing AI agents to navigate the digital world and perform increasingly valuable units of work for our users; - Training action and decision models that determine, based on complex multimodal states, how to accomplish user-specified objectives; - Providing consistently excellent experiences across desktop, mobile, headless cloud, and other environments through flexible abstractions and frictionless backgrounding; - Developing permission architectures, payload classifiers, and other methods to implement secure-by-design agentic capabilities; - Designing optimal data representations and modes of interaction between agents and their environments; - and much, much more. Responsibilities - Drive cutting-edge AI capabilities across multiple layers of a rapidly growing product in the AI agents space. - Develop and leverage cutting-edge AI models, infrastructure, and

Business Intelligence Engineer, R2L Analytics Bellevue, Washington, USA The Rapid & Rural Logistics (R2L) team is seeking a Business Intelligence (BI) Engineer to join the Analytics Team. The R2L team, which includes Sub Same Day (SSD), covers a portfolio of high-growth businesses with unique fulfillment and operational capabilities. R2L exists solely to meet the goal of quick, accurate delivery, which is constantly being challenged and changed as we adapt to our customer demands and make improvements. To meet this goal, R2L must remain flexible at all times, adapting to all changes and growth that come our way. As a Business Intelligence (BI) Engineer, your focus will be on providing metrics, operational insights, and other analytical support to stakeholders for the Sub-Same Day (SSD) OpX/OI business. The BI team partners closely with operations teams to influence the strategic direction of the business, drive operational excellence, and make sound investment and expansion decisions, with the primary goal of continuously improving the customer experience while driving long-term profitability for our portfolio of businesses. We experiment constantly, fail fast, and never stop learning. The ideal candidate will draw upon advanced analytical and problem-solving skills, along with a passion for building solutions for automated operational management. The successful leader of this team will collaborate effectively with internal end-users, cross-functional stakeholders, and technical teams to enable data-driven decision-making. They must be a self-starter, show strong bias for action, be comfortable with ambiguity, and be able to think big and be creative to support a rapidly growing

AI Developer Evangelist 3 Locations posted: Posted 2 Days Ago