AI-Product Owner

Before You Apply A Message from Our Founder

For generations, women have navigated systems never built with them in mind.Thegaps in leadership, health, wealth, and opportunity were engineered into the world weinheritedand now, for the first time, we have the tools to build something better. AIgives us the chance to design technology that truly partners with the women andorganizations working tirelessly to advance women and girls. Being trusted to do thiswork is both a privilege and a responsibility, and I am looking for people who feel thatresponsibility as deeply as I do.

Uplevylis not a conventional workplace. We have a distinct culture. We exist to createmeaningful impact for society, and we hold ourselves to a standard of moving fast whiledelivering quality that endures. We partner only with those who share our commitmentto doing important work, and we build technology that opens doors, expandsopportunity, and enables more people toparticipateand benefit.

We hire only A-players and compensate them accordingly. We do not compromiseontalent, and we part ways respectfully when performance does not meet the standardsrequired by our mission. Everyone atUplevylwears multiple hats. No task is beneathanyone. Decisions are driven by merit, not hierarchy. We prioritize customers overinternal convenience, avoid politics, andmaintainzero tolerance for unnecessarybureaucracy.

We move with urgency because the mission demands it. When the work calls for it,westretch beyond traditional hoursnot out of obligation, but out of genuine commitment to building something transformative. We look for people energized by bold problems, people who find meaning in momentum and possibility, and who bring a proactive, high-ownership mindset to everything they do. If you thrive in environmentswhereinnovation, purpose, andhigh standardscome together, you will feel at home atUplevyl.

Job Description

As anAI-ProductOwner, you will own the strategy, design, and delivery of AI-powered products from concept to scale. You will work at the intersection of business, data science, engineering, and design to translate real-world problems into AI-driven solutions that create measurable value.

You are expected to think in systems, not featuresowning the full AI product lifecycle including problem framing, data readiness, model applicability, experimentation, deployment, monitoring, and continuous improvement.

Key Responsibilities

• Own theend-to-end AI product lifecycle, fromidentifyinghigh-impact use cases tomodel deployment, performance tracking, and iteration.
• Translate complex user, nonprofit, and organizational needs intoAI-first product requirements, PRDs, and success metrics.
• Partner closely withEngineersto define problem statements,selectAImodellingapproaches, and evaluate feasibility and trade-offs.
• Driveexperimentation frameworks(A/B testing, pilots, MVPs) tovalidateAI hypotheses before full-scale implementation.
• Define and trackAI success metricsincluding accuracy, bias, fairness, explainability, adoption, and business impact.
• Ensure responsible AI practices by embeddingethical considerations, transparency, and governanceinto product decisions.
• Collaborate with engineering and design to integrate AI outputs seamlessly into user workflows and decision-making processes.
• Use data and insights to continuously refine models, improve product performance, and unlock new AI-driven capabilities.
• Communicate clearly with technical and non-technical stakeholders on AIbehavior, limitations, risks, and outcomes.

Primary Qualifications

• 58+ yearsof experience inProduct Management, with hands-on exposure toAI, ML, data-driven, or analytics-heavy products.
• Proven experience inbuilding and scaling SaaS products,across all stages of thefull product lifecycle.
• Experience working acrossmultiple domains(e.g., SaaS platforms, data products, analytics, AI-driven solutions) and the ability to quickly context-switch between problem spaces.
• Strong understanding ofAI/ML concepts, including supervised vs. unsupervised learning, model evaluation, data pipelines, inference, and real-world deployment considerations.
• Demonstrated ability to translateambiguous, unstructured problemsinto clear product vision, structured roadmaps, and executable delivery plans.
• Strongsolution-oriented mindsetyou proactivelyidentifyroot causes, propose practical solutions, and drive outcomes rather than escalating problems.
• High degree ofanalytical thinking, with comfort using data, metrics, and experimentation to drive prioritization and product decisions.

Desired Qualifications

• Prior experience building or scalingAI-enabled or decision-support products.
• Familiarity with experimentation frameworks,model monitoring, and post-launch AI performance evaluation.
• Experience working inmission-driven, nonprofit, or social impactdomains.
• Exposure to responsible AI, bias mitigation, or governance frameworks is a strong plus.

Cultural &Work-Style Skills

1. Low Ego, High Contribution

You prioritize outcomes over ownership. You collaborate deeply across disciplines and welcome feedback on product decisions, modelbehavior, and trade-offs.

2. Ownership From Discovery to Delivery

You own the problem end to endfrom discovery to launchand focus on real impact, not just shipping features.

3. Mission-Driven UrgencyWithProduct Rigor

You move quickly when needed, but never at the cost of product integrity, ethical AI use, or long-term scalability.

4. Agility in Ambiguity

You thrive in evolving environments. You test assumptions early, reduce uncertainty through data, and adapt product direction as insightsemerge.

5. Purpose-FueledCuriosity & Resilience

You are energized by complex problems, continuous learning, and building AI systems that meaningfully expand opportunity and access.

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