Technical AI Product Manager

Навыки

• AI-агенты
• API (интеграции)
• Работа с бэклогом
• Решения на данных
• HR-процессы
• JSON
• Лидерство

О компании и продукте

• Ruby Labs is a leading tech company that creates and operates innovative consumer products. We offer a diverse range of opportunities across the health, education, and entertainment industries. Our innovative teams are driving the future of consumer-led products, and we're always looking for passionate individuals to join us. Learn more about our story at: https://rubylabs.com/about-us/
• At Ruby Labs, we are building Direct-to-Consumer products in the AI category. We’re looking for a Technical AI Product Manager to own and scale the integrations and connector ecosystem that powers our AI features — the third-party APIs, app integrations, and MCP (Model Context Protocol) servers that let our products reach beyond the model itself.
• This is a high-ownership, technical role. Your core mandate is to scale connectors — growing the number, quality, and reliability of integrations available to our users — while making data-driven decisions about what to build, in what order, and how to measure success. You’ll operate inside an AI engineering squad, working shoulder-to-shoulder with engineers on prompt systems, structured outputs, agentic workflows, and evaluation, and collaborating closely with product, growth, data, and billing teams.
• We’re looking for someone technical enough to read API docs and talk to engineers without a translator, who treats AI tools as a core part of their daily workflow, and who measures success in outcomes — not effort.

Задачи

• 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

Требования

• 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
• Direct, hands-on experience with MCP — building, integrating, or shipping MCP servers or clients

Будет плюсом

• Experience growing an integrations marketplace or connector ecosystem (scaling both breadth and reliability of third-party integrations)
• Experience with AI gateways / model routing (OpenRouter or similar) and LLM observability / evaluation tooling (Langfuse, LangSmith)
• Familiarity with the TypeScript / Node.js / Next.js ecosystem
• Experience in a startup or fast-paced, high-iteration product environment
• LOCATION
• Ruby Labs operates within the CET (Central European Time) zone
• This ensures optimal collaboration and communication during working hours

Условия

• Discover the perks of being part of our vibrant team!
• 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
• Be part of our fast-growing team and seize this excellent opportunity for personal and professional growth!

Как проходит отбор

• After submitting your application, we conduct a thorough review which typically takes 3 to 5 days, but may occasionally take longer due to the volume of applications received
• If we see a potential fit, we proceed with the following steps
• Recruiter Screening (40 minutes)
• Technical Interview (60 minutes)
• Second Interview (45 minutes)
• Final Interview (30 minutes)
• LIFE AT RUBY LABS
• At Ruby Labs, we move fast, aim high, and expect the same from our team
• We’re not here to play small—we’re here to build, grow, and win
• That means we look for people who are ambitious, driven, and ready to give their best every single day
• This is a place for individuals who thrive under pressure, embrace challenges, and see opportunity in every obstacle
• If you’re hungry to achieve, motivated by impact, and want to grow at the speed of your own ambition, Ruby Labs offers the platform to make it happen
• Here, effort is matched with reward
• We recognize those who go all in and deliver results, and we create space for people who want more—more responsibility, more growth, and more success

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