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

Build and deploy AI agent systems that automate complex business processes. Analyze workflows, design and configure agents, integrate AI with enterprise applications, develop connectors and APIs, and establish evaluation and monitoring systems. The role requires expertise in cloud AI services, LLMs, NLP, Python, integration platforms, conversational AI, RAG, vector databases, APIs, and SQL/NoSQL systems. The engineer will also explore emerging AI technologies and mentor junior developers and system administrators.

Lead the creative quality and direction of AI-powered advertising. Develop concepts, prototypes, workflows, standards, and evaluation methods using generative image and video technologies. Experiment with prompting, models, references, and node-based systems while applying expertise in visual storytelling, filmmaking, composition, lighting, editing, pacing, and sound. Collaborate with creative and technical teams, evaluate emerging tools, document best practices, and coach Creative Studio members.

Leads AI-focused technical programs from scoping through deployment and handoff. Partners with Engineering, Product, AI Automation, and business stakeholders to build reusable AI solutions, MCPs, dashboards, data-access tooling, and self-service workflows. Uses SQL and analytics to define impactful metrics, reduce ad hoc data requests, improve operational efficiency, and drive AI adoption across teams.

Owns the roadmap for measurement products, develops new attribution solutions, and guides features from concept through launch. The role requires defining product specifications, identifying market trends, collaborating with engineering, design, QA, data science, and revenue teams, and delivering products that improve customer engagement and demonstrate advertising value.

Manage post-sales client relationships for programmatic campaigns using the StackAdapt DSP. Design, set up, optimize, and report on RTB campaigns, troubleshoot tags/pixels, drive retention and upsells, and provide strategic advisory and training. Travel up to 20%.

Sells programmatic advertising solutions to agencies and brands across Northern California, identifying prospects, pitching and closing deals, managing client relationships, and expanding existing accounts. The role requires quota-carrying sales success, CRM pipeline management, client pitch development, technical platform communication, and collaboration with account management, product, and leadership teams. Occasional regional client travel is required.

Partner with Account Executives and cross-functional teams to sell StackAdapt's marketing technology portfolio to enterprise marketers. Own pipeline, source and close opportunities, lead executive discovery and demos, develop account strategies, and act as a subject matter expert on customer data, AI-powered marketing, journey orchestration, and measurement.

Leads and scales StackAdapt’s eCommerce new-business sales organization across North America. Responsibilities include developing outbound sales processes and playbooks, managing pipeline and forecasting, coaching Sales Directors and Account Executives, partnering with Marketing and Revenue Operations, improving lead quality, adopting AI-enabled sales technologies, and representing the company at industry events. The role builds a predictable revenue engine through disciplined execution, account-based selling, and cross-functional go-to-market leadership.

Drive StackAdapt platform adoption and commercial growth across Publicis, WPP, and Havas. Partner with programmatic centers of excellence and agency leaders to translate holding-company priorities into activation strategies, provide programmatic consultation, remove technical and commercial barriers, support sales opportunities, and communicate agency insights to internal teams. Track engagement, campaign activation, platform usage, and revenue impact while developing senior stakeholder relationships.

Provide legal support for commercialization and product development of an AI-powered ad tech platform: draft and negotiate commercial agreements, manage IP portfolio and complex IP litigation, advise on AI, data, and privacy matters, counsel product teams on compliance and IP protection, and develop automated legal workflows.