Lead Product Manager, Time and Labor

You will be responsible for shaping and executing the vision for specific areas within the Time and Labor product line, delivering incremental and measurable value to customers. This includes continuous learning from customers, partners, and the broader Product organization. You will own your product areas end-to-end, ensuring successful releases through strong team collaboration, continuous improvement, and clear representation of the voice of the customer. You will define product metrics, establish mechanisms to collect and analyze data, and balance qualitative and quantitative insights to drive ongoing learning and customer-centric outcomes.

In addition, you will play a key role in shaping the evolution of UKG's AI-powered workforce management capabilities, including the integration of agentic AI systems that can autonomously assist, recommend, and take action on behalf of users. You will identify high-impact opportunities where AI agents reduce friction, improve decision quality, and enhance employee and manager experiences across Time and Labor workflows.

Key Responsibilities:
• Product Strategy & Roadmap: Define and own the strategic direction, roadmap, and feature prioritization for components within the Time and Labor product line, aligning with business objectives and market needs.
• Customer & Market Insight: Conduct in-depth customer research (qualitative and quantitative), market analysis, and competitive analysis to understand user needs, pain points, and emerging opportunities.
• Outcome-Oriented Product Leadership: Define clear problem statements and measurable outcomes (OKRs), ensuring teams focus on delivering customer and business impact, not just feature output.
• Requirements & Definition: Translate strategic objectives and user needs into detailed product requirements, user stories, use cases, and acceptance criteria.
• Cross-Functional Product Leadership: Act as the directly responsible individual (DRI) for product within agile teams, collaborating closely with engineering, UX/UI, and QA to ensure successful delivery.
• Data-Driven Optimization: Define, track, and analyze key product success metrics. Implement structured experimentation and use insights to continuously improve product performance.
• Stakeholder Communication & Influence: Communicate product strategy, roadmaps, and updates effectively across internal and external audiences, building alignment and enabling successful go-to-market execution.
• AI Product Thinking: Translate emerging AI capabilities (LLMs, agent orchestration frameworks, decision systems) into practical, customer-facing value. Ensure AI features incorporate appropriate human-in-the-loop controls, explainability, and trust, especially in regulated workforce scenarios.
• Agentic AI Strategy & Application: Identify and deliver high-impact agentic AI use cases (e.g., automated scheduling recommendations, proactive compliance alerts, intelligent timecard resolution, conversational assistants).
• Domain Expertise: Maintain deep expertise in Time and Labor, including regulatory requirements, industry best practices, and AI applications in workforce management.
• Voice of Customer Leadership: Act as the authoritative voice of the customer by systematically capturing, synthesizing, and operationalizing insights from research, usage data, support signals, and field feedback. Build and maintain closed-loop feedback systems to ensure insights directly inform roadmap decisions. Balance explicit (stated) and latent (behavioral) needs to drive meaningful product outcomes and exceptional user experiences.

Required Qualifications:
• 5+ years of progressive experience in Product Management, including senior-level individual contributor experience (Senior Product Manager or equivalent) within scaling SaaS environments.
• Demonstrated success driving customer-centric outcomes through matrixed, cross-functional product development teams.
• Proven ability to build and sustain a strong customer-first mindset in solving user and business problems.
• Strong analytical skills, leveraging data, user research, and business cases to inform decisions in enterprise SaaS environments.
• Comfortable presenting complex concepts to diverse audiences, including senior stakeholders.
• Track record of balancing product discovery with delivery of high-quality user experiences.
• Experience integrating AI/ML or generative AI capabilities into SaaS products, with a clear understanding of strengths, limitations, and real-world applications.
• Familiarity with agent-based systems, orchestration patterns, or AI-driven workflow automation (e.g., multi-step reasoning, tool use, decision support systems).

We work in a hybrid model. 3 days per week in the office is required. Local candidates highly preferred.

Preferred Qualifications:
• Experience working with globally distributed teams.
• Demonstrated success launching enterprise SaaS products.
• Deep functional and technical knowledge of Time and Labor (T&L) systems (e.g., timekeeping, scheduling, absence management) or adjacent domains.
• Strong understanding of Workforce Management and Human Capital Management systems.
• Experience building or managing AI-powered or AI-assisted enterprise workflows, including familiarity with LLM patterns (prompting, evaluation, guardrails, hallucination mitigation).
• Experience defining and tracking AI-specific product metrics such as trust, accuracy, intervention rate, and user reliance.
• Strong data-driven prioritization and decision-making skills.
• Experience working with both technical and business stakeholders.
• Comfort navigating ambiguity in both new product development and mature product evolution.
• Ability to travel domestically and internationally as needed.

What Success Looks Like:
• Customers experience measurable improvements in productivity, compliance, and ease-of-use within Time and Labor workflows.
• AI-powered capabilities are trusted, adopted, and demonstrably reduce manual effort and decision friction.
• Product decisions consistently reflect a deep and validated understanding of customer needs.
• Teams operate with clarity around outcomes, metrics, and priorities, delivering incremental value at high velocity.

Company Overview:

UKG is the Workforce Operating Platform that puts workforce understanding to work. With the world's largest collection of workforce insights, and people-first AI, our ability to reveal unseen ways to build trust, amplify productivity, and empower talent, is unmatched. It's this expertise that equips our customers with the intelligence to solve any challenge in any industry - because great organizations know their workforce is their competitive edge. Learn more at ukg.com.

Equal Opportunity Employer

UKG is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, disability, religion, sex, age, national origin, veteran status, genetic information, and other legally protected categories.

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UKG participates in E-Verify. View the E-Verify posters here.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Disability Accommodation in the Application and Interview Process

For individuals with disabilities that need additional assistance at any point in the application and interview process, please email UKGCareers@ukg.com.

The pay range for this position is $129,500 to $186,100. The actual base pay offered may vary depending on skills, experience, job-related knowledge and work location. In addition to base pay, employees may be eligible to participate in a performance-based bonus plan and to receive restricted stock unit awards as part of total compensation. Learn more about UKG's benefits and rewards at https://www.ukg.com/about-us/careers/benefits

Client-provided location(s): Atlanta, GA, Lowell, MA, Plantation, FL

Job ID: ukg-LEADP018147

Employment Type: OTHER

Posted: 2026-05-01T18:50:11