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

Lead research on recursive self-improvement for an autonomous ML research engine. Define the RSI roadmap, design agent strategies and compute allocation, learn from prior sessions, build evaluations, and compound knowledge across tasks. Conduct rigorous experiments, track frontier agentic LLM research, and ship validated improvements into production systems. The role requires hands-on Python engineering, applied ML research, production deployment experience, and technical leadership of a small research team.

Build rigorous ROI analyses, value models, and business cases that translate AI ranking performance into revenue, margin, and cost-to-serve outcomes. Present analyses to CFOs, procurement teams, and other economic buyers; support sales pursuits; create reusable value-selling frameworks; tailor models to customer economics; and collaborate with product, data science, and customer teams to validate benchmarks and deployment results.

Own the full lifecycle of technology partnerships with cloud providers and data platforms, including sourcing, agreements, joint go-to-market motions, marketplace listings, co-selling, and co-marketing. Drive partner-sourced and influenced pipeline and revenue, build executive and field relationships, equip sales teams, measure partner performance, and develop the company’s technology partner strategy and playbook.

Own the full Global System Integrator partner lifecycle, including sourcing, agreements, joint go-to-market motions, enablement, delivery planning, and performance optimization. Build relationships across major GSIs such as Accenture, Deloitte, Bain, BCG, Slalom, and IBM. Collaborate with sales, product, and engineering teams to generate partner-sourced and influenced pipeline and revenue. Develop the GSI strategy, playbook, and operating processes for Sequen’s growing AI business.

Own and scale Sequen’s AI-driven outbound and prospecting engine. Build automated, multichannel outreach flows across email, LinkedIn, and web; manage audience development for campaigns, events, and account-based programs; maintain the GTM tooling stack; and measure pipeline outcomes. Partner with sales, marketing, and RevOps to align outreach with territories and ICP goals. Continuously optimize messaging, workflows, and processes in a fast-moving AI company.

Leads and scales an enterprise sales organization selling AI and data infrastructure to Fortune 500 retailers, marketplaces, and travel companies. Owns regional quota, forecasting, pipeline generation, strategic deals, hiring, coaching, and performance management. Partners cross-functionally to develop go-to-market strategy, sales processes, territories, playbooks, and customer business cases. Requires experience closing large technical enterprise deals and managing high-performing account executive teams.

Lead end-to-end marketing for a category-defining AI enterprise platform: GTM strategy, demand generation, ABM, positioning, content, events, marketing ops, and team building to drive high-ACV pipeline and revenue influence.

Design, build, and optimize production-grade Rust systems for low-latency model serving and real-time data ingestion. Implement high-throughput backend APIs, caching, and memory-efficient components. Debug distributed systems, establish benchmarking and monitoring, and collaborate with Applied Scientists to translate ML advances into scalable runtime systems.

Build and operate low-latency ML infrastructure for production ranking systems. Design model CI/CD, scalable inference pipelines, observability and evaluation loops, optimize serving performance, and partner with research to transition models to resilient production deployments.

Design, build, and deploy production-grade ranking, embedding, and retrieval systems within customer environments. Engineer end-to-end ranking pipelines, data pipelines, low-latency model serving, monitoring, A/B testing, and continuous retraining. Provide white-glove deployment support, codify repeatable patterns, drive research in multi-stage retrieval and personalization, and uncover expansion opportunities.