Technical AI Product Manager

Ruby Labs

Technical AI Product Manager at Ruby Labs working on AI features and integrations. Collaborating with engineering teams to define requirements and drive product success.

Posted 6/9/2026full-timeRemote • 🇪🇺 Anywhere in EuropeMid-LevelSeniorWebsite

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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

Comp & perks

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.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

API managementproduct specificationsacceptance criteriaA/B testingdata analysisJSONLLM featuresintegration infrastructuresuccess metricsproduct analytics

Soft Skills

communicationstakeholder managementanalytical skillscollaborationprioritizationproblem-solvingdecision-makingadaptabilityownershipleadership