Product Manager - Enverus AI - Multiple levels - 26131

Enverus•Denver, CO

35d

About The 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.

Requirements

Hands-on experience building agents. You have personally designed, built, or shipped generative AI agents — not just managed a team that did. You're 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. You can hold a serious conversation with AI engineers and data scientists without a translator.
Strategic and tactical in equal measure. You operate at the whiteboard and in the backlog on the same day. You formulate big-picture strategy, break it into phases, and work directly with technology and data science through execution and delivery.
Customer-facing instinct. Comfortable in the room with enterprise customers. You run discovery, lead demos, sit through deployments, and take hard feedback without defensiveness.
End-to-end delivery orientation. You own 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. You ship fast in ambiguous environments. You don't wait for perfect conditions. Build, test, learn, iterate.
Can-do attitude. Your default mode is "I'll figure it out." You identify what needs doing and do it. You don't escalate when you should execute.
Comfort with rapid change. You thrive when the plan shifts. If you need stability to do your best work, this role will frustrate you. If you enjoy the adjustment, you'll do your best work here.
Cross-functional influence. You work effectively across teams, functions, and geographies without formal authority. You build relationships and maintain 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.

Nice To Haves

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.

Responsibilities

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.