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

Develop and execute multichannel demand generation and account-based marketing campaigns that generate qualified leads, grow pipeline, and influence revenue. Manage webinars, sales alignment, messaging, landing pages, budgets, timelines, campaign operations, analytics, optimization, and post-campaign reporting. The role requires close collaboration with sales, BDRs, product marketing, content, creative, and partner teams in a fast-paced B2B SaaS environment.

Own go-to-market strategy and product marketing for Glean Intelligence, including models, Model Hub, evaluations, and AI platform capabilities. Translate complex AI architecture and technical tradeoffs into positioning, launches, customer narratives, thought leadership, technical content, and field enablement. Partner cross-functionally with Product, Engineering, Research, Sales, Customer Success, Communications, and partners while establishing Glean as a leader in reliable enterprise AI.

Drive new logo acquisition and expansion in the Bay Area by managing the full sales cycle, collaborating with internal partners, and delivering revenue targets.

Own GTM-facing product enablement: translate releases into field guidance, build scalable enablement programs, design active practice sessions, partner cross-functionally, embed product learning into onboarding/certifications, and build AI-first launch-to-enable loops and AI-powered, just-in-time enablement surfaces to drive adoption and revenue.

Drive net-new enterprise deals and territory growth by researching accounts, identifying executive sponsors, and executing value-driven sales cycles. Collaborate with SEs, BDRs, PMs and engineering to run POCs, build ROI business cases, and meet ARR targets. Develop repeatable sales strategies, generate pipeline, and close complex deals within large organizations, engaging C-level stakeholders and ensuring customer success.

Lead large-scale infrastructure programs across compute, network, storage, orchestration, and AI workloads. Coordinate cross-functional teams (Infra, SRE, AI/ML) to improve scalability, reliability, cost efficiency, deployment automation, observability, and ML/LLM infrastructure. Define standards, track metrics, manage risks, and deliver multi-quarter initiatives that optimize platform performance and developer velocity.

Lead growth-focused data science to accelerate user adoption, engagement, and retention. Define measurement frameworks, build funnels and reusable datasets, design and analyze experiments using causal inference, develop behavioral segments, and partner cross-functionally to translate insights into product decisions and roadmap priorities.

Lead end-to-end, cross-functional product programs for Glean's enterprise AI platform. Drive alignment across Product, Engineering, Design, and GTM, manage multi-quarter roadmaps, mitigate risks and dependencies, measure execution health, and ensure successful launches and customer adoption of AI/LLM-driven features.

Build and improve production ML and LLM-powered systems to raise assistant and agent quality. Design evaluation, benchmarking, and monitoring; develop signals, prompts, workflows, and model-driven logic; work on RAG, retrieval, personalization, RL, and orchestration; partner with product and engineering to ship production systems and support data/ML infrastructure for experimentation and continuous improvement.

Build and improve systems that automate customer cloud account/project bootstrapping, authentication wiring, and deployment orchestration. Create IaC templates and deployment workflows for AWS and GCP, support complex scenarios (BYO‑VPC, customer‑managed keys, airgapped, custom regions), and collaborate with Platform, Security, Product, and customer teams to make deployments faster, safer, and more reliable.