Senior AI Engineer, Product Engineering
Location: San Francisco (Remote) · Category: Engineering & Development · Seniority: Senior · USD200,000 – USD250,000 / yearly · Posted: June 15, 2026 · Verified: Nov 12, 2026
Role Overview & Description
Track team expansion and market signals for You.com
Polaris7 monitors open roles, strategic market movements, and M&A developments in real time. Get automated intelligence briefings on You.com and benchmark against direct competitors.
You.com
you.comAI search platform with enterprise web search and research APIs.
Unlock full company profile, competitors & live market signals for You.com
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More Positions at You.com
3 more open roles
This Enterprise Account Executive role owns the full sales cycle for You.com's Web Search APIs, selling to AI/ML engineers, product leaders, and enterprise buyers building AI agents and products. The role requires consultative, technical selling with expertise in APIs, latency/accuracy tradeoffs, and how real-time web data grounds LLMs, targeting customers like NVIDIA, Salesforce, and OpenAI. Success involves exceeding quota, navigating multi-stakeholder deals, and collaborating with Sales Engineering on demos and proof-of-concepts.
This Developer Evangelist role focuses on building in public to drive adoption of You.com's Search, Contents, and Research APIs. The role involves shipping demos, sample apps, and open-source contributions, creating technical content, and engaging with developer communities on platforms like GitHub, Discord, and Reddit. Success is measured by real developer adoption, repeat usage, and community growth, requiring a hands-on engineering background with Python/TypeScript and deep connections in the developer ecosystem.
This Senior Developer Relations Engineer role sits at the intersection of engineering and the developer community, building reference implementations, demos, and tooling for You.com's AI-powered search and research APIs. The role involves contributing to open-source AI projects, representing You.com at hackathons and conferences, and bringing developer feedback back into the product. Requires hands-on engineering skills in the modern AI/agent stack, a public body of work, and the ability to communicate technical value to both engineers and executives.
