Senior Product Manager

Role overview

Discovery and strategy

• Conduct discovery with production engineers, operators, and executives, including field visits.
• Partner with business development and Solutions Engineering to understand deal wins and losses.
• Prioritize by persona, jobs to be done, customer value, and lifetime value; bring proposals to quarterly roadmap planning.

Delivery and execution

• Write specifications defining the problem, goals, non-goals, and acceptance criteria.
• Own the backlog and partner on sprint planning; keep interruptions visible and escalate blockers early.
• Coordinate dependencies and alignment across technology squads and business functions; make trade-off decisions with engineering, data science, QA, and design.
• Participate in hotfix post-mortems and address root causes in owned areas.
• Manage assigned funded programs, including grant deliverables, budgets, and reporting.

Measurement and launch

• Set success criteria, KPIs, and targets before work begins; review results after release and decide on follow-up improvements, marketing, or Customer Success engagement.
• Use product usage, customer health, and deal data in decisions; express customer value in dollars, including production uplift, failures avoided, and labor saved.
• Deliver release notes, Customer Success and Sales enablement, and in-app guides; explain roadmap outcomes and report progress, risks, and decisions to the VP of Product.

Qualifications

• At least 7 years of product management experience (not only project management) in B2B SaaS; energy technology or industrial IoT is preferred.
• Demonstrated shipped product or feature outcomes, including the metric set and its result.
• Able to conduct customer interviews, create clear problem statements, interpret usage, customer, and deal data, and reason about ML outputs for users.
• Writes concise, specific specifications and updates; can communicate with engineers, data scientists, field operators, and executives.
• Experience with Scrum or Kanban using Jira and Confluence.

Additional assets

• Artificial-lift knowledge (rod, plunger, or gas lift), production engineering or field-operations background, SCADA and well-data platforms, AI/ML-driven products, pricing and packaging, prototyping in Figma or AI tools, and grant-program management are assets.

Work arrangement and travel

• The company describes a hybrid working environment.
• Travel to customer sites and the field is about 3–4 weeks per year.

Company and benefits

• Ambyint describes itself as a scale-up focused on energy transition and environmental impact.
• The company offers competitive compensation and benefits, a collaborative professional environment, and support for development and career goals.