T-World, Product Manager

Product Manager

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The Product Manager is accountable for the full execution arc within a defined product area from the first customer insight to the last business metric. This is not a role that waits to be told what to build. The PM brings a clear point of view on approach, grounds every decision in customer evidence, and owns whether what ships actually moves the metric it was built to move. No day is the same. Day-to-day activities include: conducting customer research and behavioral analysis to maintain a current, evidence-based view of the problem space; defining outcome-based goals tied to measurable KPIs; writing requirements and acceptance criteria consumable by engineering; owning the product roadmap within their area; partnering with engineering, PXDI, and data; using AI tools to accelerate documentation, research synthesis, and requirements work; monitoring post-launch metrics; and iterating until outcomes are achieved.

Product Learning & Growth

• Owns the customer problem end to end. Accountable not just for what ships, but for whether it solved the problem it was designed to solve.
• Treats every launch as a learning event. Defines success metrics before shipping, captures post-launch signals, and acts on what the data shows, iterating until outcomes are met.
• Maintains a current understanding of emerging technology trends including AI, automation, and platform shifts and evaluates how they create opportunity or risk on the product roadmap.
• Actively develops AI fluency and applies AI tools to accelerate documentation, research synthesis, and requirements work. Critically evaluates AI-generated output rather than passing it through. Takes ownership of what goes downstream regardless of how it was produced.

Customer Problem Understanding

• Dedicates consistent time to customers through direct research, field visits, and behavioral data to build deep empathy and maintain a current, evidence-based view of their needs and unmet problems.
• Creates, manages, and sustains an active VOC feed that combines qualitative insight and quantitative behavioral signals. Customer signal drives prioritization, not opinions or assumptions.
• Actively looks for patterns in customer frustration, workarounds, and unmet needs. Surfaces these as product opportunities and validates them before investing.
• Tests ideas with real customers at every stage of the process. Does not call a feature done until post-launch data confirms the customer behavior or outcome target was achieved.
• Evangelizes and advocates for the customer both internally and externally, perpetuating a customer-first mindset across the team and stakeholder community.

Product Strategy & Vision

• Owns and communicates a clear product vision and roadmap grounded in customer problems and business outcomes. Every roadmap item maps to a measurable business or customer result; items without a connected metric do not enter the backlog.
• Defines outcome-based product goals (OKRs, KPIs) from the outset and revisits them regularly. Success is defined by impact movement, not features shipped.
• Drives outcome-first prioritization: no initiative advances without a hypothesis tied to a measurable metric, a defined success threshold, and a post-launch review plan.
• Executes strategy within a defined problem space. Does not wait to be told how. Brings a clear point of view on approach and defends it with evidence. Escalates upward when the problem space itself appears to be the wrong bet.
• Recommend product positioning strategies to improve customer experience and drive growth. Works with external third parties to assess partnerships and licensing opportunities.
• Collaborate with Architecture and engineering teams to ensure technical debt and long-term technical investment are factored into the roadmap.

Stakeholder Alignment

• Builds and maintains strong working relationships across engineering, design, data science, sales, marketing, legal, go-to-market, and finance. Aligns function around shared outcomes to enable fast, focused execution.
• Works with stakeholders and follows enterprise process to secure and maintain product funding.
• Partners with business and internal stakeholders to surface opportunity areas, align priorities, and validate direction before committing resources.
• Collaborates with stakeholders and execution teams to create and communicate release schedules. Supports sales, marketing, and adjacent teams with the product knowledge they need to be effective.
• Identifies execution, operational, and organizational issues that impede product success and drives an improvement plan to resolve or escalate.

Communication

• Communicates clearly and with conviction to leadership and peers. Grounds every recommendation in data and outcome impact. Delivers product presentations that lead to business results, not feature lists.
• Communicates technical challenges to stakeholders and makes educated trade-off decisions with transparency and clear reasoning.
• Provides ad hoc analysis and insights to leadership on request. Keeps stakeholders informed proactively, not reactively.

Data & Financial Acumen

• Conducts analysis of quantitative and qualitative data independently and in partnership with data science to identify opportunities, diagnose root causes, and size impact.
• Defines and monitors the metrics that matter before, during, and after launch. Owns the post-launch measurement loop: tracks leading and lagging indicators, identifies gaps between expected and actual impact, and drives corrective action.
• Uses data to tell a clear, honest story about product performance.

Ownership & Autonomy

• Owns the product end to end not just delivery, but outcomes. Accountable for results from initial discovery through post-launch metric movement.
• Owns and manages the product backlog with business and technology partners. Backlog grooming is outcome-led, not feature-led. Scope at this level typically serves 14 Agile / Scrum / Sprint teams.
• Accountable for product quality and performance in production. Leads the team response in the event of a critical or high-impact defect, including communications to stakeholders at all levels.
• Translates product strategy into detailed capabilities, features, and acceptance criteria consumable by development teams.

Experience & AI Tools

• Applies AI tools to accelerate and improve product work including research synthesis, data analysis, documentation, prototyping, and backlog management without sacrificing quality or judgment.
• Stays current on the evolving AI tooling landscape. Proactively identify where AI can reduce friction, surface insight, or unlock new value for the team and for customers.

Education & Experience Requirements

Education

• Bachelor's Degree plus 5 years of related work experience, OR an Advanced Degree with 3 years of related experience. (Required)

Experience

• 47 years of relevant Product Management experience in an agile software product development environment. (Required)

Knowledge, Skills, and Abilities

Required

• Agile Methodology
• Backlog Management
• Business Acumen
• Data Analysis
• Market Research
• Product Management
• Stakeholder Management
• Strategic Thinking
• Technical Writing
• User Experience (UX)

Preferred

• AI Tooling
• Collaborative Leadership
• Product Improvements

At least 18 years of age Legally authorized to work in the United States Travel: Travel Required (Yes/No): Yes DOT Regulated: DOT Regulated Position (Yes/No): No Safety Sensitive Position (Yes/No): No Base Pay Range: $100,100 - $180,600 Corporate Bonus Target: 15%

The pay range above is the general base pay range for a successful candidate in the role. The successful candidate's actual pay will be based on various factors, such as work location, qualifications,