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

Own end-to-end client relationships for AirOps' Offsite managed service: onboarding, strategy, execution, reporting, and renewals. Build publisher and placement strategies, coordinate cross-functional delivery, run regular check-ins and QBRs, analyze performance metrics, identify expansion opportunities, and help scale playbooks and reporting to improve AI search visibility for mid-market and enterprise clients.

The Engineering Manager, Integrations will lead a team to enhance integration delivery, manage throughput, and build partner relationships, while ensuring quality and operational success. This role combines team management with technical oversight and strategic partner engagement.

Sell AirOps enterprise SEO and organic growth solutions by building pipeline, managing complex multi-stakeholder deals, closing six-figure ARR contracts, educating executives on AI-driven discovery, and feeding GTM insights to product and marketing.

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.

As Lead Product Designer, you will oversee the design process, collaborate with teams, maintain a design system, conduct user research, and mentor others.

As a Senior Software Engineer, you will design and maintain full-stack features, collaborate with teams, and enhance integrations for AirOps' AI-powered platform.

As a Growth Product Manager, you will drive product strategies, optimize campaigns, collaborate with teams, and analyze data to enhance growth.

The Forward Deployed Engineer at AirOps will build AI workflows, collaborate cross-functionally, analyze metrics, and enhance customer engagement processes.

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.

The role involves developing LLM-powered AI features, optimizing AI performance, and collaborating on technical architecture and user experience enhancements. Requires strong skills in machine learning and AI integration.