Gestionnaire principal·e de produit | Senior Product Manager , APM & GenAI

Power Factors•Boston, MA

12h

About The Position

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.

Requirements

5+ years of product management experience, with meaningful time spent on UI, workflow, or platform-capability products.
Experience using and building data-intensive or analytics products, with enough technical depth to engage data scientists and engineers on trade-offs and design decisions.
Analytical problem-solving paired with the creativity to craft applications customers enjoy using.
Curiosity about the next generation of clean energy challenges, and dedication to building that future.
Experience documenting business processes and improving them.
Strong design judgment and a partnership instinct with UX designers.
Principled but pragmatic: you know when to hold a design line and when to compromise.
Able to build trust, empathy, and real understanding with customer users. You form clear points of view quickly and hold them lightly.
Hands-on experience with experimentation and A/B testing, user research, and customer discovery as ongoing practices.
Comfort with product analytics and usage data: you track what you ship and use that data to drive iteration priorities.
Hands-on use of generative AI tools in your day-to-day PM work: research, synthesis, requirements, and rapid prototyping.
A habit of picking up new tools for rapid design and prototyping; you’re an early adopter and a tinkerer.
Clear writing is essential: PRDs, epics, customer comms, internal narratives.
Ability to make complex concepts accessible to non-technical audiences.
Comfortable demoing and defending product decisions in customer-facing and executive settings.
A track record of building alignment across UX, engineering, and commercial teams.

Nice To Haves

Experience bringing data science or machine learning products to market is a plus.
Clean energy experience is a plus.
Experience with KPI frameworks, data quality problems, or configuration-heavy product areas is a meaningful differentiator.
Experience in clean energy, renewables operations, or adjacent industrial software domains.

Responsibilities

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.
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.
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.
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.
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 and prioritization and translate what you hear into product strategy.
Communicate clearly, in crisp writing, engaging presentations, and lively discussions, with technical and non-technical audiences across Sales, Customer Success, Support, Product Marketing, customers, and executives.