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Technical AI Product Manager
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Ruby Labs·Europe, Türkiye·24 авг.

Technical AI Product Manager

🌍 УдалённоБез опытаПолная занятость🌐 Глобал
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Наша компания

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.

Чем предстоит заниматься

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
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

Наши 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
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. Applicants from any country are welcome to apply for the position as long as they are located within approximately ± 4 hours of CET. This ensures optimal collaboration and communication during working hours

Мы предлагаем

Discover the perks of being part of our vibrant team! We offer
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!
Interview Process
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

Технологии и навыки

node
Ruby Labs
Ruby Labs
Europe, Türkiye

ГрейдБез опыта
ЗанятостьПолная занятость
РегионТурция
ФорматУдалённо
ИсточникСкрыто
Опубликовано24 авг.
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