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

Lead integration of AI-driven tools into tax provision, planning, and multi-jurisdictional compliance. Design ML/analytics solutions for sales and payroll tax, enhance regulatory filings, support audits, and collaborate with finance, legal, and technology teams. Monitor tax regulation changes, document AI tax models for transparency and governance, and continuously refine models for scalability, reliability, and compliance.

Drive net-new enterprise IT services revenue by owning full sales lifecycle: prospecting, executive engagement, solution positioning, collaboration with presales/delivery, pipeline management, and closing multi-year managed services, application modernization, and digital transformation deals to meet $5M–$10M annual targets.

Provide mechanical engineering domain expertise to create and review technical content used to train AI systems: review documents, develop and assess questions/solutions, give written and oral feedback, collaborate cross-functionally, resolve complex engineering problems, and improve data quality while working independently.

Lead and scale an SDR team to drive top-of-funnel growth through outbound strategies and field marketing. Build outbound playbooks, align with marketing and AEs, monitor KPIs, coach reps, hire and onboard SDRs, and optimize processes and CRM-driven workflows to generate qualified pipeline across enterprise, mid-market, and SMB segments.

Part-time contractor M&A attorney to draft, review, negotiate, and redline transaction documents; evaluate AI-generated legal outputs; develop evaluation frameworks and scoring rubrics; provide subject-matter expertise to improve AI training data and legal analysis; collaborate with product, research, and engineering teams to refine legal guidelines and best practices.

Evaluate and improve AI-generated fund-related legal work by drafting, reviewing, negotiating, and redlining fund documents; develop evaluation frameworks and scoring rubrics; collaborate with product, research, and engineering teams to refine AI training data and legal guidelines; identify contractual risks and provide expert legal feedback.

Part-time contractor role evaluating and training AI for contract review. Draft, review, negotiate, and redline commercial technology agreements; assess AI-generated contract responses; develop evaluation criteria and scoring rubrics; collaborate with product, research, and engineering teams to improve AI legal workflows and identify contractual risks.

Evaluate and strengthen AI model behavior on cybersecurity topics by writing expert prompts, annotating and grading model responses for accuracy and safety, and applying structured guidelines to classify sensitive content. Work part-time on AI safety tasks with emphasis on secure, responsible handling of dual-use information.

Remote, contract equity research role requiring at least 2 years' experience at top firms. Analyze and extract information from public SEC filings. Minimum 10 hours/week for at least four weeks. Independent-contractor engagement with weekly payments via Stripe or Wise. U.S./Canada-based applicants only; no H-1B or STEM OPT sponsorship.

Perform L3 network troubleshooting and RCA on production enterprise networks, review telemetry/logs/configs, label and annotate network behaviors for ML training, and help define schemas and data pipelines to support AI-driven infrastructure.