Lead Product Manager

ADP•Alpharetta, GA

2d•Hybrid

About The Position

StandOut by ADP is seeking a Lead Product Manager to shape the future of talent, employee engagement, and leadership development. The role leads product strategy for a platform that helps leaders identify and activate the strengths of team members, delivering transformative experiences for global organizations. The product leader works closely with executives, business stakeholders, product managers, UX teams, data scientists, engineering leaders, customers, and other cross-functional partners to define product vision, roadmaps, investment priorities, and measurable business outcomes. The position combines strategic product leadership with hands-on prototyping using AI-assisted development tools. The successful candidate will use modern AI development platforms to explore ideas, create proofs of concept, and accelerate product learning, while applying sound practices for responsible AI, experimentation, deployment, observability, and continuous improvement. The role requires balancing innovation with scalability, quality, security, and compliance, and bringing clarity to ambiguous challenges. This is a hybrid role based in the Alpharetta, Georgia office and is not eligible for remote work. The description refers to the role as both “Lead Product Manager” and “Senior Lead Product Manager.”

Requirements

Bachelor’s degree or equivalent.
At least 9 years of client-facing product management experience, focused on consumer, learning, development, marketplace, or relevant talent management/HR technology applications.
Experience managing global markets and requirements, including translations and localizations.
Excellent communication and interpersonal skills, with the ability to collaborate across teams and influence without authority.
Track record of launching products from 0 to 1 and managing end-to-end product lifecycles.
Deep empathy for users and a passion for creating products that improve their lives.
Ability to lead multiple cross-functional teams, influence senior stakeholders, and bring clarity to ambiguous challenges.
Ability to communicate product vision, roadmap priorities, investment strategies, and measurable business outcomes.
Comfort using modern AI development and Vibe Coding tools, such as VS Code, GitHub Copilot, and Kiro CLI, to prototype, validate ideas, and accelerate product innovation.
Understanding of Agentic Development Lifecycle practices, including agentic product development, responsible AI, experimentation, deployment, observability, and continuous improvement.
Ability to balance innovation, scalability, quality, security, and compliance while delivering customer value.

Nice To Haves

Experience designing and building GenAI-powered applications.

Responsibilities

Define and communicate product vision and strategy for strengths-based leadership, team engagement, and performance.
Gather and analyze feedback from business stakeholders, implementation and service teams, leaders, and customers; design and track engagement metrics and business outcomes to inform product decisions.
Advocate for platform features such as regular check-ins, performance conversations, coaching intelligence, and engagement pulse to support team growth and interactions.
Build prototypes using VS Code as part of the Pre-Builder team and partner with UX designers to refine intuitive, seamless, actionable product experiences.
Facilitate and document technical discussions with engineering teams to address complex challenges and improve scalability, data reliability, and data-driven insights.
Organize, maintain, and prioritize the product backlog in alignment with business, product, and technology priorities.
Collaborate with customer experience, operations, PMO, engineering, and other groups on annual and quarterly planning, team capacity, product releases, scope, and readiness.
Lead Agile ceremonies and rituals, track tasks, make progress transparent, and prioritize product enhancements for iteration.
Review and update the product roadmap with stakeholders, incorporating input from users, customers, leadership, and HR partners and accounting for US and global expectations and emerging technologies such as GenAI.
Use engagement data, user analytics, and business outcomes to make strategic and tactical decisions; create product KPIs, monitor usage and performance, gather post-release feedback, and identify opportunities for improvement, client satisfaction, and retention.