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

Own and scale high-volume outbound email infrastructure supporting 500K+ monthly emails across client accounts. Responsibilities include optimizing deliverability, designing domain and inbox architecture, building campaign experimentation systems, refining LLM-powered personalization workflows, monitoring performance metrics, creating operational playbooks, and partnering with product and engineering teams to automate the outbound platform.

Build and lead AirOps’s legal function as its first Head of Legal. Responsibilities include establishing legal strategy and workflows, negotiating enterprise SaaS and partnership agreements, advising on privacy, data protection, AI regulation, intellectual property, corporate governance, financings, employment, compliance, risk, and strategic transactions. The role partners extensively with executive and cross-functional teams, implements legal technology and AI-assisted processes, and builds the legal team and infrastructure as the company scales.

Analyze AI Search data to identify meaningful questions, build recurring reporting, investigate changes in visibility and model behavior, refine measurement methods, and translate findings into product, customer, and prospect recommendations. Partner with Product and Data teams, create customer-ready analyses and presentations, communicate findings to varied audiences, and document methods and limitations. The role requires strong SQL skills, analytical judgment, and the ability to work with complex datasets.

Own the full enterprise sales cycle for named accounts: prospect, qualify, run discovery, negotiate, and close six-figure deals. Build multi-stakeholder relationships across marketing, IT, legal, and procurement, provide field feedback to product and GTM, and codify repeatable playbooks to scale enterprise sales motions and drive expansion and retention.

Design and launch AI-powered products, collaborating with teams to solve user problems and maintaining system reliability. Special focus on zero-to-one product initiatives.

Build and own operating cadences (planning, WBRs, OKRs), design AI-native workflows, run 2-4 week strategic sprints, perform deep analytical work (pricing, cohorts, forecasting), identify and size new opportunities, and manage core operational infrastructure including compliance, vendors, and G&A.

Own end-to-end client relationships for Managed Services pods, driving retention, delivery momentum, reporting narrative, escalation management, and identifying expansion opportunities while coordinating cross-functional teams.