Senior Product Manager- APM & GenAI

About this role

ABOUT POWER FACTORS Power Factors is a software and solutions provider leading the next generation of clean energy with Unity, one of the most extensive and widely deployed renewable energy management suites (REMS) in the market. With over 300 GW of wind, solar, and energy storage assets managed worldwide across more than 600 customers and 18,000 sites, Power Factors manages 25% of the world’s renewable energy data.* Power Factors’ Unity REMS supports the entire energy value chain, from monitoring and controls to market participation. The company’s suite of open, data-driven applications empowers renewable energy stakeholders to collaborate, automate critical workflows, and make more informed decisions to maximize asset returns. Energy stakeholders receive end-to-end support, including solutions for SCADA & PPC, centralized monitoring, performance management, commercial asset management, and field service management. With deep domain expertise, AI-powered insights are delivered at scale so businesses can optimize assets, unlock growth, and make smarter decisions as the world rapidly transitions to clean energy. Power Factors fights climate change with code. * Outside China and India ABOUT THE ROLE This is a strategically essential Senior Product Manager role. You will own three connected areas of the Unity platform: the interface where users work, the business logic that makes their data trustworthy and powerful, and the insights that turn that data into action. Your work will shape how operators, analysts, and asset managers run hundreds of gigawatts of clean energy assets worldwide. The UI, comprised of widgets, dashboards, reports, visualizations, actions, and workflows, is how users complete work in the platform and the primary way they interact with their data. Intuitive design and deep user empathy deliver powerful, efficient, and empowering capabilities. Business Logic connects measured data to reporting. It covers data quality, KPI definitions, dependency management, traceability and transparency, and user-facing configurability: everything that makes data trustworthy at scale. Insights help customers identify, investigate, and act on performance signals. You will partner with data scientists to turn their research into real-world impact. User discovery and workflow mapping are at the center of the job. Ask good questions, form clear points of view quickly, and stay open to changing them. Success means complex workflows feel efficient and straightforward, with consistent standards and shared principles across all touch points. Concretely, the work looks like taking a workflow that today spans multiple screens, tools, and manual actions, and turning it into a single coherent flow, intentionally designing handoffs between humans, AI, and purpose-built automations. You will partner closely with User Experience Designers and Development Management as roles evolve and blend through AI tooling. Use AI tooling to handle routine mechanics so your energy goes to the strategic and human work, including rapid prototyping. Collaboration with cross-functional stakeholders is essential, working with Data Science, Sales, Customer Success, Support, and Product Marketing to capture input and maximize the user and business impact of what you build. WHAT YOU WILL OWN Product Strategy, Design System, and Workflow Foundations Own the product roadmap for core APM UI capabilities and the user workflows that tie them together. Define and prototype differentiated offerings using next-gen UX and generative AI. Partner with UX designers to evolve and innovate on cohesive visual language and interaction patterns. Business Logic and Advanced Insights Own the roadmap for product analytics, including Advanced Insights and APM generative AI products. Lead the functional areas APM users depend on: data quality, KPIs, dependency management, configurability, and UX interactions. Lead the productization of advanced analytics across descriptive, predictive, diagnostic, and prescriptive use cases, helping customers identify, investigate, and act on performance signals. Define the end-to-end insight journey: how results are surfaced, investigated, and resolved, with a focus on minimizing time-to-action and maximizing operational efficiency. User Workflows and the AI-Powered Paradigm Shift Own the end-to-end user workflows in the application: how operators, analysts, and asset managers actually do their jobs. Lead discovery and workflow mapping as a core practice: observe, interview, map, prototype, validate. Embed generative AI in the product to streamline workflow steps and free users to focus where it matters most. Maintain a clear view of where AI adds leverage versus where it introduces noise or unacceptable risk. Use modern AI tooling in your own workflow for prototypes, artifacts, and documentation. Roadmap and Delivery Maintain a market-validated roadmap grounded in customer discovery, competitive intelligence, and measurable outcomes. Write clear, executable PRDs and Epics. Use generative AI tooling actively to accelerate research, synthesis, and requirements generation. Own non-functional requirements, with special emphasis on latency, performance, consistency, stability, and scalability; partner adeptly with platform and backend teams. Ensure shipped features land with complete documentation, enablement materials, and adoption instrumentation at launch. Track outcomes over outputs: instrument what you ship, watch adoption, run experiments, and iterate. Cross-Functional Leadership Partner closely with UX Design and Development Management as roles evolve and blend through AI tooling. Collaborate with Sales, Customer Success, Support, and Product Marketing to capture input and maximize the user and business impact of what you ship. Partner with the Data Science team to translate algorithmic capabilities into scalable, production-grade product features. Engage directly with customers as a core input to learning

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