Senior/Principal Product Manager - 26131
Description
Why YOU want this position
At Enverus, we're committed to empowering the global quality of life by helping our customers make energy affordable and accessible to the world.
We are the most trusted energy-dedicated SaaS company, with a platform built to maximize value from generative AI, and our innovative solutions are reshaping the way energy is consumed and managed. By offering anytime, anywhere access to analytics and insights, we're helping our customers make better decisions that help provide communities around the world with clean, affordable energy.
The energy industry is changing fast. But we've continued to lead the way in energy technology, creating intelligent connections across the entire energy ecosystem, from renewables, power and utilities, to oil and gas and financial institutions. Our solutions create more efficient production and distribution, capital allocation, renewable energy development, investment and sourcing, and help reduce costs by automating crucial business operations. Of course, this wouldn't be possible without our people, which is why we have built a team of individuals from a diverse range of backgrounds.
Are you ready to help power the global quality of life? Join Enverus, and be a part of creating a brighter, more sustainable tomorrow.
The Team
We are seeking a Senior or Principal Product Manager to join the Enverus AI team, working across the Enverus ONE platform — our governed AI execution layer for the energy industry. This role will be filled at one of two levels depending on the candidate's experience and scope of ownership.
Enverus ONE is where generative AI meets domain-specific energy workflows: agents that execute, flows that orchestrate, applications that drive decisions, and the data foundation that makes any of it possible. The pace is fast, the problems are real, and the customers are among the largest operators, investors, traders, utilities, and service companies in the global energy industry.
Because generative AI is evolving by the week, responsibilities within this team are intentionally fluid. Focus areas shift as the technology landscape, customer demands, and platform priorities evolve. The person in this role should be energized — not unsettled — by that reality. Rapid change is the operating environment here, not an exception to manage around.
This is a role for someone who is hands-on by nature, fast by habit, and technically serious about generative AI. The best candidate is already building with agents, already deploying things to real users, and already comfortable making calls in ambiguous, fast-moving environments. They are strategic and tactical in the same week: able to frame a multi-quarter direction, then break it into phases and work shoulder-to-shoulder with engineering and data science through execution and delivery.
Performance Objectives
- Ship agentic products end-to-end. Own generative AI products from ideation and prototype through production deployment, adoption, and iteration. Define agent behavior, tool use, evaluations, guardrails, and the user experience around autonomous and semi-agentic workflows.
- Translate strategy into phased execution. Frame the long-horizon product direction, then break it into phases, milestones, and sprint-level work. Stay in the details with engineering and data science through delivery — not just at the planning stage. The handoff from strategy to execution is your job, not someone else's.
- Work directly with energy customers. Sit in on deployments, run discovery, lead demos, shadow real users, and bring customer problems back into the product. Customer proximity is the primary input to product direction, not an afterthought.
- Operate hands-on in the product. Use Enverus ONE daily. Test workflows yourself. Use coding agents (Claude Code, Cursor, or equivalents) in your own work. Prototype when needed. Ground your direction in firsthand experience, not secondhand reports.
- Drive cross-functional execution. Coordinate across AI engineering, platform teams, data strategy, domain PMs, customer success, marketing, and sales. Surface blockers early, drive alignment without formal authority, and keep work moving across pods, time zones, and geographies.
- Own backlog, sprints, and delivery. Maintain a clean, prioritized backlog. Write development-ready stories with clear acceptance criteria. Participate actively in agile ceremonies. Keep the team moving with urgency and clarity.
- Shape commercialization and GTM. Partner with commercial leaders on packaging, pricing, access models, and launch readiness. Translate technical capability into customer-facing value and clear product narratives.
- Communicate strategy and outcomes. Deliver structured, honest updates to leadership, product peers, and commercial teams. At the Principal level, this extends to executive-facing and external customer communication.
- Adapt as priorities move. The roadmap will shift. The technology will shift. Re-plan fast, re-scope cleanly, and keep the team productive through the change.
Competitive Candidate Profile
- 5+ years of product management experience, with a track record of shipping products that customers actually use. Principal level requires 8+ years and demonstrated ownership of commercialized AI or platform products.
- Strategic and tactical in equal measure. Can operate at the whiteboard and in the backlog on the same day. Formulates big-picture strategy, breaks it into phases, then works directly with technology and data science teams through execution and delivery. Thinks three quarters out while still shipping this sprint.
- Hands-on experience building agents. Has personally designed, built, or shipped generative AI agents — not just managed a team that did. Fluent in tool use, retrieval patterns, orchestration, evaluation, and the real work of getting agentic systems to behave reliably in production.
- Technical depth in generative AI. Strong working understanding of LLMs, prompting, fine-tuning, RAG, agent frameworks, model evaluation, and where the frontier is today. Can hold a serious conversation with AI engineers and data scientists without a translator.
- Energy industry experience (strongly preferred). Prior work with upstream, midstream, power and renewables, trading, financial institutions, or OFS is a significant advantage. Not a hard requirement, but candidates should be able to get up to speed fast and stay credible in front of energy customers.
- Customer-facing instinct. Comfortable in the room with enterprise customers. Runs discovery, leads demos, sits through deployments, takes hard feedback without defensiveness.
- End-to-end delivery orientation. Owns the full lifecycle — requirements, sprints, QA, launch, adoption, iteration — rather than a slice of it. Active product participant, not a pure requirements-writer.
- Bias for speed. Ships fast in ambiguous environments. Doesn't wait for perfect conditions. Builds, tests, learns, iterates.
- Can-do attitude. Default mode is "I'll figure it out." Identifies what needs doing and does it. Doesn't escalate when they should execute.
- Comfort with rapid change. Thrives when the plan shifts. People who need stability will struggle here; people who enjoy the adjustment will do their best work here.
- Cross-functional influence. Works effectively across teams, functions, and geographies without formal authority. Builds relationships and maintains alignment through consistent, reliable follow-through.
- Crisp communication. Structured writer and speaker who can translate frontier-stage work into compelling narratives for executives, customers, and engineers.
Enverus offers comprehensive benefits to our employees to include:
- Medical
- Dental
- Vision
- Income Protection (disability, life/AD&D, critical illness, accident)
- Employee Assistance Program (EAP)
- Healthcare Spending Account (HSA), Commuter
- Lifestyle & Wellbeing Program
- Pet Insurance
Salary Range: 145,000 -185,000