product manager for AI integrations

Ruby Labs creates and operates innovative consumer products across the health, education, entertainment, and AI industries.

• Own and drive the roadmap for scaling the connector ecosystem, including the number, quality, and reliability of MCP servers, third-party APIs, and app integrations;
• Prioritise integrations and connectors based on user demand, business impact, and engineering effort;
• Write product specifications and acceptance criteria for new connectors with AI engineers;
• Define and own the framework for evaluating, onboarding, monitoring, and maintaining connectors;
• Translate LLM features, agentic workflows, and tool use into buildable product requirements;
• Partner with AI engineering on prompt systems, structured outputs, and evaluation pipelines;
• Make build-versus-buy decisions and define the scope of integration infrastructure;
• Own features end-to-end from discovery and specification through QA, launch, and post-launch iteration;
• Define success metrics for connectors and AI features, including adoption, reliability, latency, cost, retention, and engagement impact;
• Design and run experiments and A/B tests, making ship, iterate, or kill decisions based on quantitative results;
• Build and maintain dashboards in Mixpanel and use observability tools such as Langfuse to monitor AI and connector performance and health;
• Surface actionable insights and recommendations to engineering and leadership teams;
• Own and prioritise the integrations product backlog;
• Collaborate with AI engineering, growth, data, and billing teams to deliver initiatives reliably and on time;
• Communicate technical trade-offs, priorities, and roadmap decisions to technical and non-technical stakeholders;
• Use AI tools such as Claude for prototyping, specification writing, analysis, and problem-solving.

• 4+ Years of experience in product management with a strong track record in technical, platform, API, or integration products;
• Demonstrated end-to-end product ownership from hypothesis through production and iteration;
• Comfortable reading API documentation and understanding data schemas and JSON;
• Practical understanding of LLMs, prompts, structured outputs, agents, tool use, and their limitations;
• Familiarity with MCP, connectors, or integration and developer-platform products;
• Hands-on daily use of AI tools such as Claude for real work;
• Strong analytical skills and hands-on proficiency with product analytics tools, preferably Mixpanel;
• Excellent communication and stakeholder-management skills;
• Nice to have: hands-on MCP experience, experience growing an integrations marketplace or connector ecosystem, experience with AI gateways or model routing and LLM observability or evaluation tooling, familiarity with TypeScript, Node.js, or Next.js, experience in a startup or fast-paced high-iteration product environment.

• Remote work is available from anywhere within approximately ±4 hours of CET;
• Unlimited paid time off;
• Paid national holidays;
• Company-provided MacBook for employees who need one;
• Flexible Independent Contractor Agreement.