Senior Product Manager - Device Data & Performance

Palmetto Clean Technology

21h•Remote

About The Position

Palmetto's device data and performance platform is the system of record for how we track, understand, and optimize the performance of hundreds of thousands of solar, battery, and emerging clean energy assets in the field. As the Senior Product Manager for Device Data & Performance, you will own the strategic direction of a platform that sits at the center of Palmetto's operations, serving internal business units, field technicians, OEM partners, financial stakeholders, and homeowners. This is a uniquely cross-functional role. You will define how Palmetto connects with hardware manufacturers through integration partnerships, shape the data models that power performance monitoring and alerting, and build the workflows that enable our field service and asset management teams to act on what the data reveals. You will need equal parts strategic vision, strong execution instincts, and the curiosity to go deep on hardware — from the solar inverters and batteries we monitor today to the HVAC systems and other energy-efficient assets we are expanding into tomorrow. Palmetto's device data and performance platform is still being shaped. You will not be inheriting a finished product — you will be defining what it becomes. That means real ownership, real ambiguity, and a real opportunity to build something that matters at the core of Palmetto's clean energy mission. You'll collaborate across Asset Management, Field Service, Operations, Customer Support, Finance, and Engineering — making this one of the most relationship-intensive and high-visibility PM roles at Palmetto. The ideal candidate thrives at the intersection of data, hardware, and cross-functional influence.

Requirements

7+ years of product management experience, ideally in roles that required managing external integrations, data platforms, or IoT/hardware-connected systems.
Demonstrated track record of owning integration roadmaps — including defining requirements, working with vendors or external partners, and driving toward favorable technical and contractual outcomes.
Experience working on monitoring, alerting, or operational intelligence products that feed downstream workflows.
Background in energy, clean tech, or hardware-adjacent industries is a strong plus; curiosity about how energy hardware works is a must.
Strategic thinker who can zoom out to define where a platform needs to go over 12–24 months, then zoom in to write precise, actionable requirements for the next sprint.
Strong project management instincts — comfortable managing complexity, tracking cross-functional dependencies, and keeping multiple workstreams moving simultaneously.
Data fluency: you use data to inform decisions, validate assumptions, and communicate impact. SQL proficiency or equivalent comfort with data tools is expected.
Excellent written and verbal communication skills, including the ability to influence senior stakeholders and craft narratives that build alignment across business units.
Collaborative partner who builds genuine relationships across engineering, operations, field teams, and external vendors.
Genuinely curious about how things work — you want to understand the hardware, the data pipelines, the alerting logic, and the downstream impact, not just the user-facing interface.
Entrepreneurial by nature — energized by the opportunity to build something from the ground up, comfortable starting from ambiguity, and motivated by the chance to prove what's possible.
Comfortable with ambiguity and energized by the challenge of shaping a platform that is evolving rapidly.
Bias for action: you move quickly, make clear decisions, and hold yourself and your team accountable.
Low ego, high standards — you bring out the best in the people around you and care deeply about getting the outcome right.

Responsibilities

Own the strategy for how Palmetto ingests device data from a diverse and growing portfolio of OEM partners — solar inverters, batteries, HVAC systems, and emerging asset types — understanding that no two manufacturers deliver data the same way.
Develop deep fluency in push vs. pull integration patterns and define when each is appropriate — whether that means polling a manufacturer API on a schedule, receiving real-time webhooks, or negotiating direct data feed agreements that give Palmetto better signal fidelity.
Lead integration negotiations alongside legal and business stakeholders, shaping data access terms, rate limits, signal coverage, and SLA commitments that maximize what the platform can do downstream.
Build a scalable integration framework that makes onboarding new OEMs repeatable and efficient — reducing the one-off engineering effort that comes with each new hardware partnership.
Own the data transformation layer — defining how raw, heterogeneous device signals get normalized into a clean, consistent schema that every internal team can rely on without needing to understand the quirks of each OEM's data format.
Design and maintain standardized data models and API response contracts that make the platform easy to consume — clear field definitions, predictable structures, and versioning practices that protect downstream teams when things change.
Partner with engineering to optimize pipeline reliability, ingestion latency, and data quality — ensuring that the data foundation is trustworthy enough for other teams to build business logic on top of with confidence.
Define and enforce data quality standards, SLAs, and alerting thresholds that surface problems before they cascade into downstream errors for operations, finance, or consumers.
Design the platform not just as a product you own, but as an infrastructure other teams can actively use and extend — establishing contribution patterns, documentation standards, and guardrails that let teams like Asset Management and Consumer add to the platform without creating technical debt.
Build self-service capabilities that reduce dependency on your engineering team for routine data access — enabling other product and ops teams to query, filter, and act on device data through well-designed interfaces and APIs.
Champion a clear culture: standardized responses, clear contracts between services, and shared tooling that makes the platform feel like a foundation — not a black box.
Act as the connective tissue across internal teams, earning influence without authority and driving adoption of platform standards across dotted-line stakeholders who depend on this data to do their jobs.
Define what great looks like for solar and battery performance monitoring — translating raw device data into actionable insights that empower operations, field service, and customer support teams to identify issues and act quickly.
Drive the evolution of alerting logic from OEM-triggered notifications toward production-based, outcome-driven alerting — reducing false positives, improving dispatch quality, and giving downstream teams the signal clarity they need to apply their own business rules.
Ensure monitoring coverage expands thoughtfully as new asset types are added — from HVAC systems to future whole-home electrification products — with each new asset class integrated into the same clean schema and alerting framework.
Own how device data surfaces to homeowners — ensuring that what the platform captures translates into clear, meaningful experiences that help consumers understand their system's performance.
Define how production data (e.g. solar energy generated) and consumption data (e.g. home energy usage) are presented together so homeowners can see the full picture of their energy profile — not just that their system is running, but how well it's working for them.
Partner with the Consumer Experience and Customer Support teams to ensure that data quality, latency, and schema decisions made at the platform level directly support the trust and clarity homeowners need in their day-to-day interactions with Palmetto.
Own the product strategy, OKRs, roadmap, and quarterly planning — making clear, well-reasoned prioritization decisions that balance foundational platform investments with the feature requests that come from every team who depends on this data.
Embrace and leverage AI to accelerate discovery, compress learning cycles, and improve team productivity — from using AI tools in your own workflow to informing how the platform itself can deliver smarter, more proactive insights.
Run tight delivery cycles with your engineering team, fostering a culture of transparency, accountability, and continuous improvement.
Proactively manage stakeholder expectations with written communication that is clear, concise, and decision-ready.