Technical AI Product Manager

About the role

The owns the strategic direction and execution of the connector ecosystem that powers our AI features. This role is responsible for scaling the reliability, quality, and breadth of integrations that connect our products to external models and services. You will act as the primary interface between the AI engineering squad and the broader business, ensuring that integration investments directly drive user value and business outcomes. The position requires a rare blend of technical depth and product intuition to translate complex AI capabilities into clear, executable product requirements. You will define the roadmap for connectors, make data-driven prioritization decisions, and ensure the infrastructure supports rapid experimentation. Success in this role means enabling our products to leverage AI in powerful, reliable, and scalable ways that delight users.

Key facts

What you'll do

Define and own the long-term vision and roadmap for the connector ecosystem, including MCP servers, third-party APIs, and native app integrations.

Prioritize integration opportunities by synthesizing user demand signals, business impact expectations, and realistic engineering constraints.

Write precise product specifications and unambiguous acceptance criteria that guide engineers from concept to implementation without friction.

Establish and maintain the operational framework for evaluating, onboarding, monitoring, and retiring connectors over their lifecycle.

Translate abstract AI capabilities such as LLM features, agentic workflows, and tool use into concrete requirements that engineering can build against.

Collaborate daily with AI engineers on prompt systems, structured outputs, and agentic workflows to ensure product intent is technically feasible.

Make informed build-versus-buy decisions regarding integration infrastructure and clearly communicate the rationale to stakeholders.

Own the full lifecycle of integration features, from initial discovery and specification through rigorous QA, public launch, and continuous iteration.

Define and track key success metrics for connectors and AI features, including adoption rates, system reliability, latency, cost efficiency, and user retention impact.

Design and run controlled experiments and A/B tests, using quantitative results to determine whether to ship new features, iterate further, or kill underperforming initiatives.

Build and maintain detailed dashboards in Mixpanel and leverage observability tools such as Langfuse to monitor AI and connector performance in real time.

Surface timely, actionable insights and data-backed recommendations to engineering and leadership teams during regular review cycles.

Own and continuously refine the integrations product backlog to ensure the highest-value work is always being tackled by the team.

Collaborate closely with AI engineering, growth, data, and billing teams to coordinate initiatives, resolve dependencies, and hit delivery commitments.

Communicate technical trade-offs, shifting priorities, and roadmap decisions clearly and persuasively to both technical and non-technical audiences.

Use AI tools such as Claude and other advanced systems as essential daily instruments for prototyping, specification writing, analysis, and problem-solving.

Requirements

Bring a minimum of 4 years of professional product management experience with a strong track record in technical, platform, API, or integration product domains.

Demonstrate consistent end-to-end ownership of products, guiding them from initial hypothesis through production deployment and ongoing iteration.

Show solid technical fluency by comfortably reading API documentation, interpreting data schemas expressed in JSON, and partnering effectively with engineers without requiring constant translation.

Possess a practical understanding of modern AI product fundamentals, including prompts, structured outputs, agentic workflows, tool use, and awareness of their inherent limitations.

Have working familiarity with concepts central to integration and developer platform products, such as MCP (Model Context Protocol), connectors, and integration strategies.

Use AI tools as a core component of your daily work routine, leveraging them for real professional tasks; this practice is expected and not optional.

Exhibit strong analytical capabilities and hands-on experience with product analytics tools, with a preference for Mixpanel, including building funnels, analyzing cohorts, and reading dashboards.

Communicate effectively in a remote, asynchronous work environment, maintaining clarity and professionalism in both written and verbal exchanges.

Nice to have

Direct, hands-on experience with MCP, including building, integrating, or operating MCP servers or clients in production environments.

Proven experience growing an integrations marketplace or connector ecosystem, managing both the expansion of breadth and the reliability of third-party integrations.

Experience working with AI gateways and model routing platforms such as OpenRouter, along with LLM observability and evaluation tooling like Langfuse.

Background in billing and monetization models for digital products, particularly around usage-based or metered billing for API-driven services.

Experience implementing reliability and performance best practices for integrations, including managing latency, error rates, and retry strategies.

Practical notes

This is a full-time position open to candidates located within the European Union.

The role requires daily use of AI tools such as Claude as part of the standard workflow.

Travel is not required for this role, and all work is conducted remotely.

Visa sponsorship is not available for this position.

Candidates must be able to start within a reasonable timeframe as defined by current team hiring plans.