Senior Technology Product Manager- Agentic

Wolters Kluwer•Coppell, TX

10d•$85,600 - $149,400•Onsite

About The Position

Wolters Kluwer Tax & Accounting seeks a strategic, customer-focused Senior Product Manager to define and deliver outcomes across the tax product lifecycle. This role acts as a Product Definer, responsible for translating customer and market signals into clear problem definitions, product strategies, and measurable business outcomes. The Senior Product Manager owns a product domain, capability area, or customer journey and is accountable for identifying opportunities, validating solutions, defining priorities, and driving commercial success. This role partners closely with Engineering, UX, Product Marketing, Sales, Customer Success, and Support to deliver innovative SaaS solutions that solve meaningful customer problems and create measurable business value. The ideal candidate brings strong product management expertise, a customer-obsessed mindset, and the ability to leverage AI and agentic tools as force multipliers across the product development lifecycle.

Requirements

Bachelor's degree from an accredited university or equivalent experience required.
5+ years of product management or related experience.
Demonstrated success managing B2B SaaS, workflow, platform, or enterprise software products.
Experience defining product strategy, roadmaps, requirements, and customer-centric solutions.
Experience working in Agile product development environments.
Experience driving product launches, commercialization activities, and cross-functional execution.
Experience working directly with customers to identify problems, validate solutions, and improve outcomes.
Experience leveraging data and metrics to inform product decisions.
Product Strategy: Ability to define product vision, prioritize investments, make trade-off decisions, and connect strategy to measurable outcomes.
Customer-Centric Discovery: Demonstrated expertise in customer research, jobs-to-be-done analysis, workflow discovery, journey mapping, and problem validation.
Commercialization & Growth: Experience supporting product commercialization activities, including positioning, pricing, packaging, launch readiness, adoption, and sales enablement.
AI Readiness: Strong understanding of AI and generative AI concepts with the ability to leverage AI as a force multiplier across discovery, experimentation, planning, and execution activities.
SaaS Product Management: Experience managing cloud-based products with usage-based metrics, continuous delivery, and iterative product development practices.
Technical Fluency: Ability to understand technical concepts, APIs, integrations, platforms, and engineering trade-offs while translating business needs into product direction.
Data & Analytics: Ability to utilize quantitative and qualitative insights to drive decision-making, monitor outcomes, and improve product performance.
Communication & Influence: Exceptional verbal, written, presentation, and stakeholder management skills with the ability to influence without direct authority.
Execution Excellence: Strong organizational, prioritization, and execution skills with the ability to operate effectively in ambiguous and fast-paced environments.

Nice To Haves

Preferred areas of study: Business, Computer Science, Engineering, Information Systems, or Related fields
MBA or advanced degree preferred but not required.
Tax, accounting, financial technology, or professional services technology experience preferred but not required.

Responsibilities

Synthesize customer feedback, product usage data, competitive intelligence, market research, and business objectives into clear problem statements and product opportunities.
Define product vision, objectives, key results (OKRs), success metrics, and measurable customer and business outcomes.
Develop high-quality product requirements, user stories, acceptance criteria, and supporting documentation that are traceable to desired outcomes.
Evaluate opportunities using customer value, business impact, strategic alignment, and effort-based prioritization frameworks.
Define and maintain a customer-centered product roadmap aligned to business goals and market needs.
Partner with leadership to identify and prioritize growth opportunities, customer segments, and high-value use cases.
Balance short-term delivery objectives with long-term strategic investments.
Partner with Product Marketing, Sales, Customer Success, and other stakeholders to support successful product launches and commercialization efforts.
Contribute to product positioning, messaging, pricing, packaging, and customer value articulation.
Collaborate on market readiness activities, launch planning, customer communications, and adoption strategies.
Support alpha and beta programs, collecting and synthesizing customer feedback into product decisions.
Help develop sales enablement materials, demonstrations, training content, customer narratives, and use cases.
Partner with customer-facing teams to identify adoption barriers, expansion opportunities, and market feedback.
Lead customer discovery efforts, voice-of-customer research, interviews, surveys, and workflow analysis.
Translate customer problems into user journeys, design principles, solution hypotheses, and acceptance criteria.
Partner with UX to develop and test prototypes, concepts, MVPs, and product enhancements.
Validate assumptions through structured experimentation, qualitative research, and quantitative analysis.
Continuously gather evidence to refine product direction and improve product-market fit.
Work directly with customers, prospects, and design partners to understand workflows, pain points, and unmet needs.
Leverage AI and agentic tools to accelerate customer research, competitive analysis, documentation, experimentation, and product discovery activities.
Apply AI capabilities to improve product experiences and customer outcomes where meaningful value exists.
Utilize AI to support product planning, prioritization, research synthesis, market analysis, and content generation.
Establish appropriate human-in-the-loop validation checkpoints for AI-generated outputs and recommendations.
Evaluate emerging AI technologies, trends, and opportunities that can create customer and business value.
Ensure responsible, transparent, and practical use of AI throughout the product development lifecycle.
Define, monitor, and act upon product success metrics including adoption, retention, engagement, customer satisfaction, revenue, and growth indicators.
Analyze customer behavior, product performance, and operational data to identify opportunities and inform roadmap decisions.
Translate insights into actionable product improvements, prioritization decisions, and commercialization strategies.
Measure product outcomes against established OKRs and communicate progress to stakeholders.
Establish clear success criteria for initiatives and ensure accountability for results.
Collaborate effectively across Product, Engineering, UX, Sales, Marketing, Customer Success, Support, and leadership teams.
Manage and prioritize backlogs, epics, initiatives, and roadmap investments aligned to strategic goals.
Identify risks, dependencies, and constraints and proactively drive resolution.
Facilitate alignment on priorities, trade-offs, timelines, and customer outcomes.
Influence stakeholders through strong communication, data-driven decision making, and customer insights.
Ensure teams maintain focus on business value, customer outcomes, and measurable impact.
Performs other duties as assigned by supervisor.