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

Own retention and growth for a mid-market book: run renewals, identify expansion opportunities, upsell/cross-sell, lead executive value conversations, forecast renewals, partner with CSMs, present data-driven QBRs, and serve as escalation and commercial relationship owner.

Own end-to-end relationships for $100M+ frontier AI lab accounts, translating ambiguous goals into clear priorities, partnering with delivery teams, making high-judgment tradeoffs, driving expansion and renewal, and defining KPIs and SLAs to ensure customer and leadership alignment.

The Engagement Management Lead will drive customer relationships by managing the full engagement lifecycle, ensuring successful implementation, and translating customer needs into actionable programs.

Manage a team of Strategic Project Leads in delivering high-stakes AI data projects while ensuring operational excellence and performance metrics.

Build AI-driven workflows, automations, and agents for GTM teams; mine and score prospect signals; implement and maintain Salesforce- and warehouse-integrated systems using Python, SQL, BigQuery, Clay, and orchestration tools; own end-to-end delivery, monitoring, and documentation.

Build and operate shared ML/AI infrastructure: data pipelines, feature stores, training, model serving and LLM platform work. Scale inference and training (GPU, batching, autoscaling), enable evaluation and post-training workflows, and partner with AI, data science, and product teams to productionize models and improve platform reliability and developer experience.

Build and own systems, tooling, and processes for Strategic Project Leads to scale a central quality-control program. Grow and calibrate a large auditor workforce, integrate LLMs and prompt engineering to improve auditing efficiency, and embed quality processes across Delivery. May also design SPL onboarding, operator tooling, and an Emerging Talent program while hiring and leading a team as the scope expands.

The Senior Applied AI Engineer will develop AI-driven solutions for enterprise customers, embedding directly with them, owning full stack AI delivery, and iterating on performance. Responsibilities include defining solutions, building production-grade agents, conducting evaluations, and establishing best practices.

Provide Tier 1 and Tier 2 IT support for a distributed workforce across hardware, SaaS, identity systems, and collaboration tools. Administer onboarding/offboarding, endpoint management, software provisioning, asset tracking, and IAM. Maintain documentation, partner with Security on device compliance, assist in incident response, and identify automation opportunities to improve IT operations.

Prospect and build early-stage pipeline within federal and state & local government organizations. Navigate complex org structures, engage stakeholders, align Handshake solutions to government budgets and hiring priorities, and collaborate with account executives to drive awareness and opportunities for early talent recruitment.