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

Lead design and delivery of high-priority AI initiatives across product and platform boundaries. Rapidly prototype and launch AI features, unblock teams, mentor engineers, and shape production-grade LLM systems (retrieval, evals, prompting, orchestration). Collaborate with product, design, and domain experts to turn customer needs into shipped product.

Lead global revenue enablement programs for sales, account management, and customer success teams. Translate AI and product strategy into field messaging, sales plays, certifications, workshops, and manager coaching. Partner cross-functionally with Revenue, Product Marketing, Product, Legal, Sales Operations, and Customer Outcomes to improve productivity, readiness, deal progression, and execution. Use analytics and field feedback to identify performance gaps, define outcome-based metrics, and drive lasting behavior change.

Lead and grow an engineering team building production generative AI systems. Set technical direction, own the roadmap and quality standards, make architectural decisions, contribute production code, and manage reliability and output-quality evaluation. Partner with product and engineering leaders to deliver business outcomes, prioritize work, hire and mentor engineers, and manage performance and career development. The role requires expertise in LLM systems, NLP, document understanding, retrieval, agent frameworks, or ML infrastructure.

Build and maintain complex web applications and scalable software systems using modern front-end technologies. Collaborate with designers, product managers, quality engineers, and other developers to design, test, and ship accessible, mobile-friendly features. Contribute to front-end architecture, mentor teammates, provide feedback, and participate in engineering recruiting and interviews. The role uses TypeScript, ReactJS, Node.js, Docker, Kubernetes, and Google Cloud Platform.

Lead employment and litigation counsel serving as the primary legal advisor to the People team. Responsibilities include employment policy and process development, workplace investigations, compliance, manager training, international expansion support, AI-related employment guidance, litigation and pre-litigation management, and coordination with outside counsel. The role also contributes to broader compliance, privilege, legal operations, and cross-functional initiatives.

Staff Product Manager responsible for importing, modeling, governing, and activating contract data across Ironclad’s platform. The role defines data foundations, knowledge graph capabilities, AI agents, integrations, schemas, APIs, quality metrics, lineage, and trust controls. This leader partners across Engineering, AI, Design, Search, Contract Understanding, and business teams to deliver context-aware experiences that support search, analytics, workflows, predictions, recommendations, and automated actions.

Own and improve identity governance, access controls, RBAC, SSO, MFA, device trust, and endpoint security programs. Integrate SaaS applications with identity platforms, conduct access reviews, investigate identity incidents, automate audit evidence collection, and partner across security, IT, compliance, and application teams. Develop scripts and integrations, support vulnerability management across macOS and Windows, and continuously strengthen identity architecture and least-privilege controls.

Leads the global sales operations infrastructure, including GTM planning, territory and quota design, forecasting, pipeline accountability, renewals, expansion, partner and BDR programs, and international growth. Builds and manages a global operations team, automates sales workflows, develops AI-enabled GTM strategies, and presents data-backed recommendations to executive leadership while partnering across Sales, Marketing, Customer Experience, Finance, and GTM Engineering.

Designs and delivers enterprise automations, AI-assisted workflows, and governed integrations across business systems. Leads cross-functional integration projects, operationalizes Glean-based AI workflows, establishes engineering and observability standards, implements error handling and alerting, and mentors automation engineers. The role partners with stakeholders to translate business needs into scalable technical architectures and roadmaps while advancing reliable, secure, and reusable automation practices.

Own strategy, roadmap, and execution for Ironclad’s workflow efficiency product area. Lead workflow roles, assignments, approvals, notifications, activity intelligence, data quality, and AI-powered workflow experiences. Partner with Engineering, Design, Data, AI, Legal, Customer Success, Sales, and executives to improve contract cycle time, approval reliability, user autonomy, and customer-facing workflow experiences.