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Technical AI Product Manager
Location
Europe
Posted
10 days ago
Salary
0
Seniority
Senior
Job Description
Technical AI Product Manager
Ruby Labs
• Own and drive the roadmap for scaling the connector ecosystem, including the number, quality, and reliability of integrations (MCP servers, third-party APIs, and app integrations) that power AI features. • Prioritise integrations and connectors based on user demand, business impact, and engineering effort. • Write clear product specifications and acceptance criteria for new connectors, working closely with AI engineers. • Define and own the framework for evaluating, onboarding, monitoring, and maintaining connectors over time. • Translate AI capabilities, including LLM features, agentic workflows, and tool use, into clear, buildable product requirements. • Partner with the AI engineering team on prompt systems, structured outputs, and evaluation pipelines, ensuring product requirements are reflected in technical design. • Make pragmatic 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 on a regular cadence. • Own and prioritise the integrations product backlog. • Collaborate closely with AI engineering, growth, data, and billing teams to deliver initiatives reliably and on time. • Communicate technical trade-offs, priorities, and roadmap decisions clearly to both technical and non-technical stakeholders. • Use AI tools (Claude and others) as a core part of the daily workflow for prototyping, specification writing, analysis, and problem-solving.
Job Requirements
- 4+ years in product management, with a strong track record on technical, platform, API, or integration products.
- Demonstrated end-to-end ownership of products — from hypothesis through production and iteration.
- Solid technical fluency: comfortable reading API documentation, understanding data schemas and JSON, and partnering with engineers without needing everything translated.
- Practical understanding of how LLMs work and what modern AI products involve — prompts, structured outputs, agents / tool use, and their limitations.
- Working familiarity with the concepts behind MCP (Model Context Protocol), connectors, or integration / developer-platform products.
- Hands-on, daily use of AI tools (Claude or similar) for real work — this is how the team operates; it is not optional.
- Strong analytical skills and hands-on proficiency with a product analytics tool (Mixpanel preferred) — funnels, cohorts, and dashboards.
- Excellent communication and stakeholder-management skills, with comfort in a remote, asynchronous environment.
Benefits
- Remote Work Environment: Embrace the freedom to work from anywhere, anytime, promoting a healthy work-life balance.
- Unlimited PTO: Enjoy unlimited paid time off to recharge and prioritize your well-being, without counting days.
- Paid National Holidays: Celebrate and relax on national holidays with paid time off to unwind and recharge.
- Company-provided MacBook: Experience seamless productivity with top-notch Apple MacBooks provided to all employees who need them.
- Flexible Independent Contractor Agreement: Unlock the benefits of flexibility, autonomy, and entrepreneurial opportunities. Benefit from tax advantages, networking opportunities, reduced employment obligations, and the freedom to work from anywhere.
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