Software Engineer, AI Products - MCP Manager
Location: New York, New York, United States · Category: Engineering & Development · Seniority: Mid-Level · Posted: November 5, 2026 · Verified: Nov 13, 2026
Role Overview & Description
Track team expansion and market signals for Usercentrics
Polaris7 monitors open roles, strategic market movements, and M&A developments in real time. Get automated intelligence briefings on Usercentrics and benchmark against direct competitors.
Usercentrics
usercentrics.comConsent management and privacy-led marketing software for digital channels.
Unlock full company profile, competitors & live market signals for Usercentrics
Similar Positions in DACH
Related roles across advertising, media, and data
This role builds production-grade business applications and agents in partnership with an AI Product Manager. The engineer is responsible for frontend, backend, and APIs, integrating AI agents into business processes with human-in-the-loop controls, and ensuring monitoring and adoption post-production. The role requires tested code in Python or TypeScript and experience with coding agents.
Design and deliver secure, scalable AI integration platforms that connect enterprise systems and power mission-critical automation, contributing to the design and evolution of the AI integration client ecosystem. Own backend service design for high-throughput, low-latency APIs enabling reliable agent workflows and complex cross-system orchestration, setting technical direction for identity, auth, and trust boundaries across integrations (OAuth, API key, service-to-service). Lead production excellence through a metrics-first reliability strategy, defining and enforcing SLOs.
This Manager - Forward-Deployed AI Engineering builds useful AI systems that people rely on in daily work, partnering with SB Energy teams to learn workflows and build practical solutions. The role combines deep Codex fluency with Azure engineering to ship reliable software, integrations, and personalized skills, while owning delivery and ongoing improvement. It requires 5-8+ years of experience in software engineering or data engineering, with strong coding ability in Python or TypeScript and expert practical fluency with Codex and Azure.
This role leads product management for AI agents and MCP (Model Context Protocol) initiatives. The principal PM will define product strategy, requirements, and roadmap for AI-powered features.
More Positions at Usercentrics
3 more open roles
This role manages customer success for AI products, focusing on MCP Manager solutions. The manager will onboard clients, drive adoption, and ensure satisfaction by providing guidance and support on AI product usage.
This role focuses on developing and managing strategic partnerships with technology companies to drive business growth. Responsibilities include identifying partnership opportunities, negotiating agreements, and fostering long-term relationships to expand the company's ecosystem.
This role is responsible for generating new business opportunities through outbound prospecting and lead qualification. The SDR will identify potential clients, initiate contact, and set up meetings for the sales team to drive revenue growth.
