Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

Build and productionize machine learning systems that convert complex documents into executable, verifiable logic. Responsibilities include developing parsing and transformation pipelines, experimenting with language models, designing datasets and evaluation metrics, creating adversarial tests, analyzing model failures, and implementing rule-based checks using logical reasoning and program analysis. The role requires close collaboration with founders and subject-matter experts to validate system outputs.

Build reusable interactive front-end components for a browser-based product, focusing on graphics rendering, performance, and engaging user experiences. Own features from concept through release, collaborate with product, design, and content teams, and maintain clean code that supports both human developers and AI tools. The role requires solving demanding browser-rendering challenges and designing clear APIs for people and automated systems.

Lead client engagements from data onboarding through production, plan studies that demonstrate business value, and build automated machine learning workflows using Python, scikit-learn, pandas, and Spark. Translate client business questions into data solutions, manage stakeholder relationships, evaluate model performance, and inform product planning. Requires healthcare or life sciences data experience and end-to-end delivery of sophisticated data or machine learning solutions.

Lead employer-side employment litigation from case opening through resolution, including individual claims, wage disputes, class actions, court proceedings, arbitrations, agency matters, and client advising. Prepare filings, arguments, discovery, and case strategy; conduct examinations; investigate facts; and provide practical California employment-law guidance. Collaborate with partners and associates, communicate proactively with clients, and optionally contribute to business development.

Develop and release full-stack features from discovery through production for a consumer-facing education technology product. Collaborate with engineers, designers, and program staff; make product and architectural decisions; write and review maintainable code; participate in on-call rotation; and improve platform operations and internal tooling.

Manage sophisticated California employment litigation for employer clients from strategy through trial, arbitration, or settlement. Responsibilities include overseeing evidence gathering, witness examinations, pretrial motions, specialists, mediation, and courtroom advocacy. Counsel clients on pay practices, discrimination, harassment, retaliation, and compliance matters while partnering with senior attorneys and managing cases independently.

Own new-business sales for a healthcare technology platform, managing the full sales cycle from prospecting through signed contracts. Generate pipeline, conduct discovery with operational and financial stakeholders, meet quota, travel approximately 30%, and help build the company’s sales process, qualification criteria, and materials. The role requires 5–10 years of technology sales experience, preferably in healthcare and early-stage companies.

Lead a six-to-eight-person engineering team through people management, hiring, performance management, planning, delivery oversight, and career development. Remain hands-on by contributing code and pull requests while partnering with product managers and technical leaders on priorities, architecture, and alignment. Support onboarding, documentation, ownership clarity, and team growth. The role requires substantial backend experience, strong TypeScript skills, recent technical contributions, AI-enabled engineering workflow familiarity, and prior management of at least five engineers.

Build and ship full-stack conversational AI features, integrating speech recognition, text-to-speech, and large language models into reliable production systems. Improve latency, reliability, cost, developer experience, and platform foundations at enterprise scale. Collaborate with product and machine learning teams, own initiatives end to end, incorporate production feedback, and support customer-facing engineering work.

Build and operate production pipelines for legal records from PACER, court systems, opinions, PDFs, scans, XML, and HTML. Develop LLM-assisted extraction workflows, validate data quality, optimize SQL, and support RAG and semantic search products. Manage AWS S3 and RDS systems within security guardrails while collaborating with engineering teams. The role requires strong Python and SQL skills, legal data experience, document extraction expertise, and autonomous problem-solving with large, messy datasets.