product manager for AI integrations

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

• Own and drive the roadmap for scaling the connector ecosystem, including 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 clear 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 and make ship, iterate, or kill decisions based on quantitative results;
• Build and maintain dashboards in Mixpanel and use 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 product management experience with a strong track record in technical, platform, API, or integration products;
• Demonstrated end-to-end ownership of products 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 experience with MCP, experience growing an integrations marketplace or connector ecosystem, experience with AI gateways or model routing such as OpenRouter, familiarity with LLM observability and evaluation tools such as Langfuse or LangSmith, familiarity with TypeScript, Node.js, or Next.js, experience in a startup or fast-paced high-iteration product environment.

• Remote work environment;
• Unlimited paid time off;
• Paid national holidays;
• Company-provided MacBook for employees who need one;
• Flexible Independent Contractor Agreement;
• Applicants must be located within approximately ± 4 hours of CET;
• Interview process: recruiter screening, technical interview, second interview, and final interview.