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

The Emerging Account Executive will focus on acquiring new customers and driving revenue growth by managing pipelines and engaging with prospects. Ideal candidates have 1-3 years of B2B SaaS sales experience and excel in customer communication.

As Principal Product Manager, AI, you will define and execute the AI strategy at Drata, leading the development of AI-native experiences, collaborating with cross-functional teams, and driving the AI product vision while mentoring other product managers.

Lead and scale post-sale growth strategies at Drata by creating customer-centric lifecycle programs, driving expansion, and improving NRR through collaboration with Sales and Customer Success teams.

The Global Campaign Manager designs, launches, and optimizes integrated marketing campaigns to drive pipeline and revenue, collaborating cross-functionally and managing budgets, performance, and creative iterations.

Lead a team of Solutions Engineers to drive technical value and support sales for Commercial and SMB customers, ensuring successful customer outcomes and refining strategies with sales leadership.

Lead product strategy, roadmap, and go-to-market for enterprise security/third-party offerings. Conduct customer research, define requirements, collaborate with engineering, track metrics, and prioritize features to deliver impactful AI-enabled products.

Design, build, and scale production LLM, retrieval, and agentic AI systems for compliance automation. Implement evidence-grounded, explainable workflows, optimize for latency/cost/reliability, and embed human-in-the-loop guardrails while collaborating cross-functionally.

Lead and grow a high-performing SDR team to create qualified opportunities: hire, train, coach, report on KPIs, refine playbooks, improve qualification and opportunity management, and accurately forecast weekly, monthly, and quarterly attainment.

Lead architecture and development of scalable web applications and APIs, integrate LLM/AI features, design streaming and real-time AI experiences, maintain ingestion/analytics infrastructure, collaborate across product and engineering, and deliver production-ready, testable code.

Lead applied research on retrieval and reasoning for compliance-focused AI: design and evaluate RAG/agent strategies, build evaluation frameworks and ranking systems, run experiments, debug failure modes, and hand validated approaches to engineering for productionization.