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About the role
Key responsibilities & impact- Ensure a data-driven approach to prioritize the highest-value AI capabilities, platform enhancements, and user needs.
- Drive adoption, usability, and operational effectiveness of AI products and platforms through continuous measurement and optimization.
- Advocate for reusable AI capabilities, patterns, and platform services that enable enterprise scale, speed to market, and consistent governance.
- Leverage market trends, emerging AI capabilities, user feedback, and business priorities to define and evolve AI product strategy.
- Define product vision, success metrics, and roadmaps for AI platforms, tools, and capabilities.
- Align AI product priorities across Technology, Data, Risk, Security, and business stakeholders to establish an integrated delivery roadmap.
- Regularly reevaluate priorities to optimize capacity against business value, user outcomes, risk considerations, and platform health.
- Leverage OKRs (Objectives and Key Results) and product metrics to guide roadmap decisions and investment priorities.
- Drive the integration of AI platforms and capabilities into business workflows and experiences to maximize adoption and value realization.
- Promote platform modernization, observability, monitoring, governance, and operational excellence practices that improve reliability, transparency, and performance.
- Drive product delivery through the agile lifecycle, from discovery and experimentation through implementation and continuous improvement.
- Leverage product discovery techniques to validate customer needs, identify opportunities, and prioritize the most impactful solutions.
- Partner with cross-functional teams to establish product-market fit through research, journey mapping, prototyping, product chartering, and stakeholder engagement.
- Define north-star and supporting metrics that connect platform performance, user adoption, and business outcomes.
- Continuously measure results against targets and identify opportunities to improve adoption, operational effectiveness, and value delivery.
- Use product metrics, platform telemetry, and user feedback to optimize execution and ensure teams remain focused on the highest-value work.
Requirements
What you’ll need- Digital Product Management experience
- Experience managing technology, platform, data, AI, or digital products through the product lifecycle.
- Strong understanding of AI, machine learning, generative AI, or emerging technology concepts and their business applications.
- Ability to balance user needs, business value, technical feasibility, risk considerations, and operational requirements.
- Experience defining and measuring product success through KPIs, OKRs, adoption metrics, operational metrics, and business outcomes.
- Knowledge of software development, platform architecture, APIs, integrations, and agile delivery methodologies.
- Familiarity with AI platform capabilities such as model management, orchestration, monitoring, evaluation, governance, guardrails, and observability.
- Knowledge of risk management, governance, compliance, and controls in a regulated environment.
- Strong analytical, communication, stakeholder management, and problem-solving skills.
- Ability to translate complex technical concepts into clear business outcomes and product decisions.
Benefits
Comp & perks- Healthcare (medical, dental, vision)
- Basic term and optional term life insurance
- Short-term and long-term disability
- Pregnancy disability and parental leave
- 401(k) and employer-funded retirement plan
- Paid vacation (from two to five weeks depending on salary grade and tenure)
- Up to 11 paid holiday opportunities
- Adoption assistance
- Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AIMachine LearningGenerative AIProduct Lifecycle ManagementPlatform ArchitectureAPIsProduct MetricsOperational MetricsUser Adoption MetricsSoftware Development
Soft Skills
Analytical SkillsCommunication SkillsStakeholder ManagementProblem-Solving Skills