Product Development Owner

This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Product Development Owner based in the United States.

Join a product development team focused on transforming complex tax workflows through automation, intelligent software, and practical AI applications. In this role, you will own product outcomes from concept to adoption, balancing strategic roadmap planning with hands-on agile delivery. You will identify repetitive, error-prone processes and develop solutions that reduce manual effort, improve accuracy, and accelerate client workflows. Working closely with engineering, marketing, and client-facing teams, you will turn customer insights and product data into measurable improvements. You will also integrate AI into your daily work to streamline product discovery, requirements development, and delivery. This remote opportunity is ideal for a data-driven product professional who enjoys solving complex problems, making evidence-based decisions, and delivering meaningful customer impact.

Accountabilities

• Own product strategy and outcomes: Maintain a Now/Next/Later roadmap aligned with business objectives and planning cycles. Define measurable success criteria, establish realistic delivery commitments, and make informed decisions to adjust, deprioritize, or discontinue initiatives when evidence indicates they will not achieve the intended outcomes.
• Lead product development from concept to adoption: Shape new products, features, and concepts from initial discovery through launch and adoption. Reassess existing product areas, refine requirements as new information emerges, and make effective scope decisions in uncertain or evolving environments.
• Identify and automate manual workflows: Analyze how clients prepare, reconcile, and validate tax data. Identify repetitive and error-prone tasks and translate them into automation capabilities, rules-based validation, and AI-assisted workflows. Measure results through time saved, errors prevented, and reduced processing cycles.
• Integrate AI responsibly into product solutions: Collaborate with engineering teams to identify valuable AI use cases and establish appropriate safeguards for accuracy, auditability, explainability, data security, and human oversight. Define evaluation datasets, accuracy thresholds, and acceptance criteria before implementation.
• Leverage AI to improve productivity: Use AI tools to create and refine product features, user stories, acceptance criteria, test scenarios, and release notes. Apply AI to analyze product usage, interpret client feedback, and explore existing codebases to better understand system behavior and accelerate requirements development.
• Manage agile product delivery: Maintain a clear, actionable backlog in tools such as Azure DevOps, Jira, or Linear. Lead backlog refinement, sprint planning, program increment (PI) planning, and sprint demonstrations while identifying and managing dependencies across teams.
• Make data-informed product decisions: Use product analytics, customer research, and support trends to prioritize initiatives and validate assumptions. Establish adoption KPIs for new releases and review performance within 90 days of launch.
• Champion the end-to-end client experience: Work with client escalation owners and cross-functional teams to understand reported issues, prioritize defects and enhancements, and create actionable development requirements. Validate fixes through user acceptance testing and ensure alignment with established user experience standards.
• Drive product launches and adoption: Partner with go-to-market, product marketing, and marketing teams throughout the product lifecycle. Incorporate sales feedback, pipeline insights, account manager observations, and market research into product priorities and launch plans. Ensure releases are clearly positioned, effectively communicated, adopted, and measured.
• Communicate progress and manage expectations: Present roadmap priorities, delivery progress, risks, and trade-offs to clients, sales teams, and executives. Review client-facing communications for clarity and accuracy, and proactively address missed commitments with practical recovery plans.
• Deliver measurable first-year outcomes: Establish a roadmap with defined success metrics for every committed initiative, ship at least one capability that demonstrably reduces manual client work, maintain a build-ready…