Product Manager, Enverus
Enverus AI, Multiple Levels
$145-185k
Senior and Expert level
Denver
Remote from US
Energy analytics & technology
Open for applications
Energy analytics & technology
1001+ employees
B2BArtificial IntelligenceEnterpriseEnergyAnalyticsSaaSData Analysis
Open for applications
$145-185k
Senior and Expert level
Denver
Remote from US
1001+ employees
B2BArtificial IntelligenceEnterpriseEnergyAnalyticsSaaSData Analysis
Company mission
To deliver revolutionary ideas and solutions that disrupt old ways of thinking to accelerate the success of our customers.
Role
Who you are
- The person in this role should be energized — not unsettled — by that reality
- 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
- Rather than force a specific level, we are matching scope to the right person
- If you are strong, the role will flex to fit you
- We are open to hiring this role at the Product Manager, Senior Product Manager, or Principal Product Manager level. The expectations below apply to every candidate regardless of level; level-specific expectations follow
- 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
- 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
What the job involves
- We are hiring across multiple levels — Product Manager, Senior Product Manager, and Principal Product Manager — to join the Enverus AI team, working across the Enverus ONE platform, our governed AI execution layer for the energy industry
- 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
- 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
- Rapid change is the operating environment here, not an exception to manage around
- This posting is open at the Product Manager, Senior Product Manager, and Principal Product Manager levels
- 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
- What changes by level
- Across every level, you are expected to be a hands-on practitioner who executes directly with the team. What changes is the scope, strategic reach, and stakeholder weight of the work — not whether you get into the weeds
- Product Manager (typically 3–5 years of PM experience)
- Scope: A specific workstream or product surface
- Strategy: Contributes to strategy for your area; primarily accountable for execution quality and delivery velocity
- Execution: Drives day-to-day backlog, sprint execution, QA, and cross-functional coordination with engineering and data science
- Communication: Within the product and engineering organization
- Senior Product Manager (typically 5–8 years of PM experience)
- Scope: A larger product area or multiple connected workstreams
- Strategy: Defines roadmap and phasing; shapes direction for your area
- Execution: Runs execution directly alongside engineering and data science — same backlog ownership, sprint participation, and hands-on product engagement as PM level, just across a wider surface
- Communication: Across product, engineering, and commercial leadership. Leads customer engagements and contributes to commercialization decisions
- Principal Product Manager (typically 8+ years of PM experience)
- Scope: A significant slice of the Enverus AI portfolio; influences platform decisions that span multiple teams and pods
- Strategy: Sets strategic direction. Shapes commercialization, packaging, pricing, and GTM readiness with commercial leaders. Has taken internal or early-stage AI products to market before
- Execution: Still a hands-on practitioner. Writes stories when needed, sits in standups, tests agents, debugs flows, and ships alongside the team. The strategic work is additive to execution, not a replacement for it
- Communication: Executive-facing and external customer communication responsibility
Our take
In the energy industry, there is a need for more efficient and streamlined business processes. Companies in this sector often struggle with managing complex procurement, production and distribution tasks, which can be time-consuming and costly.
Enverus has developed an energy-focused SaaS platform that leverages generative AI to address these challenges. The platform provides users with real-time analytics, insights, and connections that help companies optimise their operations, from sourcing suppliers to managing production and distribution.
In 2025, Blackstone agreed to acquire Enverus, which will help the company accelerate operations scaling and strengthen its existing solutions. This move marks an important step in its journey to becoming a leading provider of end-to-end business automation solutions for the energy industry.
Steph
Company Specialist at Welcome to the Jungle
Insights
Top investors
Company
Funding (last 2 of 3 rounds)
Mar 2016
$9.6m
GROWTH EQUITY VC
Sep 2013
$25.1m
GROWTH EQUITY VC
Total funding: $199.7m
Company benefits
- Volunteering and giving back: We believe that our employees make a meaningful impact on local communities through volunteering and community service —and we have fun doing it together! In 2022 we partnered with Hellman & Friedman to match up to $10,000 in donations to select charities across the world
- Mental health and Well-Being: We believe that everyone’s health matters, and that means mental health too! We have worked to integrate mental health programs into our benefits offerings to ensure that our employees and their families get the mental health support they need. We also have a wide range of internal strategies to address mental health from chat channels to seminars and much more
- Hybrid Work: We know that you’re busy and have a full life outside of work. That is why we are proud to offer remote work options and flexible hours to allow employees to better manage their days. (Please note that not all positions are able to work remotely or have flexible hours)
- Leadership Training and Development: We believe that leaders influence and drive our organization by leading our number one asset, our people. Our in-house leadership training is designed to help coach, enhance, and retain practical leadership applications
- Vacation and Benefits: We strive to support the health and well being of our employees with comprehensive benefits packages and time off policies tailored to the country they operate in
- Retirement: Saving for the future is important and that’s why Enverus offers retirement savings plans to help employees have a bright future
- Company Bonuses: Our variable compensation plan is designed to maximize value for the company and provide incentive and rewards for our employees
- Parental Leave: We support new parents, regardless of gender, in taking the time off they need to bond with their family’s new additions
- Referral Bonuses: When you work for a great company, you can’t help but want to share and invite top talent to make the switch. Enverus offers generous referral bonuses to embrace hiring top talent
Company HQ
Barton Hills, Austin, TX
Leadership
Manuj Nikhanj
(CEO)Before joining Enverus, they were the co-President and co-CEO of RS Energy Group. Prior to this, they were the co-Head of Energy Research at ITG, which was acquired by the Ross Smith Energy group.
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