I'm looking for a job. I exported this list from FewerJobs.com - a curated job board. Please: 1. Rank these jobs by fit for me, given my resume / skills. 2. Highlight the top 5 with a one-sentence rationale each. 3. Flag any concerns, including benefit values without source-backed evidence. 4. Suggest one or two filter changes I could make on FewerJobs to find more good matches. Filters I applied: - q: Braintrust - quality_floor: default - match_401k_strict: true - parental_strict: true - non_birth_strict: true - pto_strict: true - include_older: false - verified_benefits_only: true - apply_url_verified: false - page: 1 - per_page: 100 - sort: relevance Jobs (4 total): --- TITLE: Staff Frontend Engineer EMPLOYER: Quanta Services LOCATION: San Francisco, CA (unspecified) SALARY: $205K-$265K POSTED: 2026-02-26 K401_MATCH: yes (source-backed) K401_SOURCE_URL: https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip APPLY_URL: https://jobs.ashbyhq.com/quanta/3794e40b-ef2e-41ab-b3d7-52a38583e44c EXCERPT: Staff Frontend Engineer San Francisco, CA Quanta Quanta is an AI-powered accounting and finance platform that fixes a major frustration for businesses: stale and slow financial data. We can do in seconds what takes our competitors weeks, which is why we're trusted by many of today's fastest growing startups. By rebuilding accounting from the ground up, we enable business decisions to be made with timely, complete, and explainable financial information. Many of today's fastest-growing startups, including Decagon, Braintrust, Browserbase, and Mintlify, rely on Quanta as their financial foundation. The Team We are a tight-knit team of 17, working fully in-person in downtown San Francisco. Our backgrounds sit at the intersection of finance and engineering. As a group, we have built accounting systems at Affirm, ledgers at Stripe and Robinhood, and companies from the ground up. We have passed CPA exams, built finance teams from one to dozens, shipped 0→1 products, and scaled systems that support billions in transactions. We understand our customers because we have been in their shoes. We care deeply about correctness, trust, and building systems that last. We are opinionated about the future of finance and committed to building it together. We are defining the Operational Ledger, a new financial foundation for how businesses truly understand themselves. If you want to work on deep, consequential systems, financial data is one of the hardest places to do it well. Finance sits at the center of every business, yet most software makes it difficult to see how numbers are --- TITLE: Software Engineer 5 – Agent Platform, AI Platform EMPLOYER: Netflix LOCATION: USA - Remote (remote) SALARY: $466K-$750K POSTED: 2026-06-09 K401_MATCH: yes (source-backed) K401_SOURCE_URL: https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip APPLY_URL: https://explore.jobs.netflix.net/careers/job/790316292023?microsite=netflix.com EXCERPT: Software Engineer 5 – Agent Platform, AI Platform USA - Remote At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what's next. At Netflix, we want to entertain the world, and we're constantly innovating on how entertainment is imagined, created, and delivered to a global audience. Increasingly, that innovation is powered by AI - and Netflix is making a deliberate bet to become AI Native, with AI woven into how we build products, create content, and run the company. The Opportunity The Agent Platform team gives Netflix engineers the infrastructure to go from zero to a production-grade AI agent without reinventing the wheel. We own the foundational building blocks the whole company builds on: the Model Gateway (unified access to external LLMs like Claude, GPT, and Gemini), the Assistance API for conversational use cases, the MCP Gateway that connects agents to Netflix's internal systems and knowledge, our Agent SDK (built on Strands and Claude), and an end-to-end evaluation stack via Braintrust. The work has moved well beyond chat completions. Teams across Netflix are now building agents - systems that plan, call tools, observe results, and iterate - and they depend on us for the infrastructure to do that reliably and to know --- TITLE: Senior Product Engineer EMPLOYER: Quanta Services LOCATION: San Francisco, CA (unspecified) SALARY: $205K-$265K POSTED: 2026-02-26 K401_MATCH: yes (source-backed) K401_SOURCE_URL: https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip APPLY_URL: https://jobs.ashbyhq.com/quanta/fee47f68-08f5-445d-85e1-f603b55ace98 EXCERPT: Senior Product Engineer San Francisco, CA Quanta Quanta is an AI-powered accounting and finance platform that fixes a major frustration for businesses: stale and slow financial data. We can do in seconds what takes our competitors weeks, which is why we're trusted by many of today's fastest growing startups. By rebuilding accounting from the ground up, we enable business decisions to be made with timely, complete, and explainable financial information. Many of today's fastest-growing startups, including Decagon, Braintrust, Browserbase, and Mintlify, rely on Quanta as their financial foundation. The Team We are a tight-knit team of 17, working fully in-person in downtown San Francisco. Our backgrounds sit at the intersection of finance and engineering. As a group, we have built accounting systems at Affirm, ledgers at Stripe and Robinhood, and companies from the ground up. We have passed CPA exams, built finance teams from one to dozens, shipped 0→1 products, and scaled systems that support billions in transactions. We understand our customers because we have been in their shoes. We care deeply about correctness, trust, and building systems that last. We are opinionated about the future of finance and committed to building it together. We are defining the Operational Ledger, a new financial foundation for how businesses truly understand themselves. If you want to work on deep, consequential systems, financial data is one of the hardest places to do it well. Accounting sits at the center of every business, yet today it is slow, opaque, and stripped of the context --- TITLE: Engineering Manager EMPLOYER: Quanta Services LOCATION: San Francisco, CA (unspecified) SALARY: $225K-$325K POSTED: 2026-04-13 K401_MATCH: yes (source-backed) K401_SOURCE_URL: https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip APPLY_URL: https://jobs.ashbyhq.com/quanta/4836f915-ed48-48f9-a1f9-443799fe9a39 EXCERPT: Engineering Manager San Francisco, CA Quanta Quanta is an AI-powered finance platform built for fast-growing companies. Every company relies on accounting as its source of truth, but the tools today are manual, fragmented, and not designed for how modern businesses operate. We're building the system of record for finance - one that owns the data layer and uses AI to automate and abstract away the operational burden. The result is a real-time, intelligent financial backbone that goes far beyond traditional accounting software. Many of today's fastest-growing startups - Decagon, Braintrust, Browserbase, Mintlify - rely on Quanta as their financial foundation. The Team We are a tight-knit team of 17, working fully in-person in downtown San Francisco. Our backgrounds sit at the intersection of finance and engineering. As a group, we have built accounting systems at Affirm, ledgers at Stripe and Robinhood, and companies from the ground up. We have passed CPA exams, built finance teams from one to dozens, shipped 0→1 products, and scaled systems that support billions in transactions. We understand our customers because we have been in their shoes. We care deeply about correctness, trust, and building systems that last. We are defining the Operational Ledger, a new financial foundation for how businesses truly understand themselves. If you want to work on deep, consequential systems, financial data is one of the hardest places to do it well. Accounting sits at the center of every business, yet today it is slow, opaque, and stripped of the context needed to --- [PASTE YOUR RESUME OR SKILLS HERE]