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

Design, build, and maintain infrastructure for an adtech platform. Operate production systems at scale, optimize performance, own platform layers, run experiments, and ensure reliability across a broad set of systems.

Build and scale production-quality full-stack systems, lead cross-functional initiatives, optimize matching algorithms, create high-quality user experiences, and use experimentation and data to drive product decisions.

Partner with product engineering to design and analyze experiments, apply causal reasoning and statistical modeling to marketplace data, and drive data-informed product decisions across the engineering org.

Design and productionize algorithms and regression models for real-time bidding and conversion prediction; apply privacy-preserving clustering to conversational data; analyze data to improve ad matching; conduct research, form hypotheses, and communicate findings to technical and non-technical stakeholders.

As Chief of Staff at Koah, you will lead ad sales strategies, build teams, and work closely with founders on operations and product development.

As an Ad Sales Executive, you will manage the sales pipeline, engage with advertisers and agencies, conduct pitches, and build post-sale relationships to drive revenue in the emerging AI advertising sector.

The Founding Head of Ad Sales will set up the ad sales team, create strategies for new ad formats, own sales pipelines, and educate customers on AI-driven advertising. They will also recruit talent and represent Koah at events.

The Product Marketer will own product narrative and positioning, translating technical capabilities into stories, building sales assets, and supporting product launches in a fast-paced startup.

The Product Designer will create experiences for advertisers and publishers, focusing on campaign tools, SDK onboarding, and ad format systems while collaborating across various touchpoints.

As a Software Engineer - Backend at Koah Labs, you will build scalable data models, optimize performance, and develop flexible tracking systems for ad engagement, using a diverse tech stack.