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

Own strategic technology partnerships with data platform, cloud, and AI infrastructure companies. Responsibilities include executive relationship management, multi-year joint business planning, product and integration roadmap alignment, co-selling, co-marketing, pipeline generation, customer adoption, joint business reviews, and cross-functional coordination across Product, Engineering, Sales, Marketing, Legal, and Finance.

Leads the marketing operations function by designing multi-touch attribution, standardizing Salesforce campaigns, defining marketing metrics, building dashboards and queries, managing the marketing-to-sales handoff, and running pipeline reviews. Partners with marketing executives, sales, and revenue operations systems teams to improve accountability, pipeline measurement, ROI tracking, campaign execution, and investment decisions. Requires hands-on SQL and Salesforce data expertise, with responsibility for establishing processes and potentially growing the function.

Own and scale a portfolio of technology and ISV partners across recruitment, onboarding, activation, and expansion. Build marketplace programs, listings, co-sell and co-marketing plays, partner plans, and operating rhythms. Coordinate Product, Engineering, Sales, Marketing, account executives, partners, and customers while tracking partner health, marketplace activity, activation, and sourced or influenced pipeline. Develop repeatable onboarding and activation processes for a growing ecosystem.

Own marketing measurement and analytics for paid acquisition across channels, campaigns, audiences, geographies, and creative. Build incrementality tests, media-mix models, attribution frameworks, and predictive lifetime-value signals. Partner with Marketing, Data, Engineering, Finance, and leadership to guide budget allocation, validate performance data, maintain clean pipeline attribution, and identify channel saturation and optimization opportunities.

Own strategic customer engagements from discovery through delivery: scope time-boxed AI/LLM projects with executives, lead technical discovery, configure workflows and integrations, enable adoption through training and playbooks, monitor feasibility, surface expansion opportunities, and escalate product gaps to Product and Engineering.

Lead and scale a Forward Deployed Engineering team embedding with enterprise customers to build production-grade AI-native workflows. Own delivery quality, stakeholder relationships, scoping, executive technical sponsorship, deal strategy, hiring, coaching, and partner enablement to ensure fast, repeatable, high-impact engagements.

Embed with customer engineering teams to discover bottlenecks, design and ship Cursor-powered AI-native workflows end-to-end, ensure production reliability, monitor and iterate, and push reusable patterns back to the core product.

Coordinate and manage the full interview scheduling experience, host onsite candidates, maintain ATS data accuracy (Ashby), communicate with candidates and hiring teams, partner with recruiters and hiring managers, and continuously improve recruiting operations.