Product Manager

your Jared; Wrocław; Hybrid; PLN 120,000 - 180,000; Full time

Job summary

PlantGraph is seeking a Product Manager to own the Consumption surface area, defining the APIs and MCP server integrations that enable engineers, operators, and AI agents to access the facility model. You’ll drive partner data contracts, onboarding, and data integration patterns across a technical product team.

You will collaborate with product and engineering to translate strategy into concrete specs, prioritize backlogs, and monitor adoption and reliability metrics for external integrations

Qualifications

• 5–8+ years of product management, with technical or platform focus.
• Strong API and integration experience for external systems.
• Experience with AI/LLM integrations and agentic frameworks.
• Familiarity with MCP-style integrations and data sources.

Responsibilities

• Own the consumption layer, roadmap, and API contracts for data access.
• Define integration patterns and data contracts with external systems.
• Partner with engineering to translate strategy into specifications and tests.
• Track KPIs for adoption, reliability, and usage patterns.
• Engage with customers and partners for technical alignment.

Skills

APIs

Integration patterns

LLMs

Agentic systems

Agile methodologies

Data-driven product development

Analytics

English (C1)

Tools

MCP servers

ETL pipelines

Job description

# Product ManagerWroclaw, DS, PolandRemoteplvia direct// Job TypeFull Time// SalaryNot disclosed// Posted2 days ago// Work Moderemote## About the RoleBenefits 100% remote work Competitive time-off package About the role As Product Manager for PlantGraph's Consumption surface area, you'll define and build the technical surface area that lets engineers, operators, third-party systems, and LLMs access and query the facility model. You'll also own how external data sources and third-party systems integrate into the product suite, including historian data, other OT systems, and partner or vendor platforms. You will partner closely with the product organization, which focuses on platform experience and end-user workflows, while you own integrations and the technical consumption layer. Key Responsibilities Own the consumption layer: Define and drive the roadmap for how engineers, operators, third-party systems, and LLMs access and query PlantGraph, including APIs and MCP servers. API and integration strategy: Design and prioritize the technical surface area that external systems and AI agents use to consume graph data, balancing flexibility, performance, and ease of integration. External data and third-party integrations: Own how external data sources and third-party systems integrate into the product suite, including partnering with customers to define integration patterns, data contracts, and onboarding processes for new sources. Partner across the product team: Work closely with the product team to ensure the consumption layer supports user, customer, and partner needs. Translate strategy into execution: Turn technical and business requirements into clear specifications, API contracts, and acceptance criteria for engineering. Sprint planning and execution: Partner with engineering to plan sprints, ensure clarity on deliverables, and resolve blockers, particularly around integration and platform dependencies. Market and ecosystem insights: Track how customers, partners, and the broader industry approach data integration, LLMs, and agentic systems. Performance tracking: Define and monitor KPIs for adoption, reliability, and consumption patterns. Customer and partner engagement: Support technical conversations with customers and partners. Required Skills 5–8+ years of professional product management experience, with a track record of owning technical or platform-facing product areas. Strong working knowledge of APIs and integration patterns for exposing data through APIs and MCP servers and bringing in external data sources. Experience defining or shipping integration-heavy products and understanding usable integrations from both sides. Working knowledge of AI and agentic systems, including LLMs and MCP-style integrations, their limitations, and what makes a data source useful to an agent. Comfort operating in highly technical product spaces and partnering closely with engineering on architecture trade-offs without owning technical design directly. Self-starter able to identify the key questions in emerging product areas and determine what matters to customers and users. Strong communication skills across engineering, partner-facing, and business stakeholders. Experience with Agile methodologies, including backlog grooming, sprint planning, and retrospectives. Analytical thinking and ability to use usage data and integration feedback to prioritize work. At least C1 English level. Preferred Skills Experience building developer-facing platforms, API products, or SDKs. Experience working with or building on MCP, LLM tool-calling, or agentic frameworks. Experience with data ingestion, ETL or integration pipelines, or partner/vendor data onboarding. Familiarity with graph databases, query languages, or knowledge graph systems. Experience running growing and novel product surface areas. Familiarity with industrial data, engineering software, or digital twins. Background in data-driven product development and analytics.