Product Owner

ENFOS • Durham, NC

1d

About The Position

ENFOS is a profitable, 25-year-old enterprise SaaS company serving leading industrial organizations. Its platform provides a centralized system of record for managing Environmental Obligations, supporting finance, accounting, operations, and compliance teams with governance, audit readiness, and operational scale. The platform supports the Environmental Obligation lifecycle and integrates financial, scientific, and operational workflows.

The Product Owner will drive the next phase of platform evolution by owning backlog execution and delivery for a defined product area. Working closely with Engineering, QA, UX, and business stakeholders, this role translates ambiguous, high-stakes business problems into clear requirements, measurable outcomes, and scalable workflows. The role combines enterprise product execution, agile delivery, and AI-enabled software development, contributing both to internal product practices and AI capabilities in the ENFOS platform.

The Product Owner will own and prioritize the product backlog; write stories, acceptance criteria, and Definitions of Done; lead agile ceremonies; and make scope and trade-off decisions. They will partner with Engineering on solution design and technical trade-offs, with QA on testing and release readiness, and with UX on workflow design and customer validation. They will also shape AI-enabled capabilities and their associated acceptance criteria and safeguards, use AI tools in daily product work, instrument releases and measure outcomes, engage customers and domain experts, and communicate priorities and risks to stakeholders.

Success will be assessed through customer and business outcomes, backlog clarity and delivery predictability, product quality and audit defensibility, AI traceability, cross-functional collaboration, customer understanding, independent judgment, and effective use of AI.

Requirements

• At least 5 years of experience as a Product Owner, Product Manager, Business Analyst, or in a similar role within enterprise B2B SaaS or complex business applications.
• Proven track record owning backlogs and delivering enterprise software with Engineering, QA, and UX teams.
• Strong Agile/Scrum expertise, including backlog management, refinement, acceptance criteria, and sprint execution.
• Ability to translate ambiguous business problems into clear requirements and measurable outcomes.
• Strong analytical skills and comfort working with usage data, SQL, BI tools, and metrics-driven prioritization.
• Demonstrated AI-first mindset and experience using AI tools to accelerate product work.
• Excellent written and verbal communication skills across technical and business audiences.
• Strong ownership mentality and bias for action.
• Comfort working directly with enterprise customers and stakeholders.

Nice To Haves

• Experience operating across multiple Scrum teams or coordinating shared dependencies in a platform environment.
• Experience in finance, accounting, ERP, GRC, audit, or other regulated enterprise SaaS domains.
• Experience shipping AI/ML-enabled features, including evaluation and human-in-the-loop design.

Responsibilities

• Own and prioritize backlog execution and delivery for a defined product area, balancing customer value, risk reduction, and business outcomes.
• Translate product strategy into executable work for Engineering and QA; write user stories, acceptance criteria, and Definitions of Done.
• Lead backlog refinement, sprint planning, reviews, and retrospectives, making scope and trade-off decisions and documenting prioritization rationale and product decisions.
• Use product usage data, customer feedback, support themes, and revenue impact to inform prioritization.
• Partner with Engineering on solution design, sequencing, dependencies, and technical trade-offs.
• Partner with QA on test strategy, regression risk, edge cases, and release readiness.
• Partner with UX to simplify complex workflows and validate designs with customers.
• Lead story-level discovery, clarify requirements, and break large initiatives into shippable increments.
• Own release readiness, including release notes and internal enablement for Customer Success and Support.
• Help shape AI-native features, including assistants, anomaly detection, document intelligence, and intelligent automation.
• Define AI acceptance criteria and guardrails, including traceability, evaluation, and appropriate human oversight.
• Use AI tools to accelerate story writing, requirements analysis, customer-feedback synthesis, and release communications.
• Stay current on AI patterns, including LLMs, agents, retrieval, and evaluation frameworks.
• Instrument shipped work, define success metrics upfront, and measure post-release outcomes.
• Engage customers through interviews, usability sessions, and in-app communications.
• Partner with Customer Success, Support, Onboarding, and Sales to validate priorities and turn feedback into product improvements.
• Collaborate with Finance, Accounting, Operations, and subject-matter experts to ensure regulatory and audit alignment.
• Communicate priorities, progress, risks, and trade-offs clearly to stakeholders.

Benefits

• Annual discretionary bonus opportunity.
• Stock options granted at the time of hire and periodically based on performance.
• Comprehensive benefits packages.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed