Product Lead

Revance is building a suite of innovative commerce and loyalty solutions for consumers and providers within our digital platform ecosystem. We're seeking a strong, forward thinking product leader who is energized by challenges, loves solving real consumer/customer problems, building from zerotoone, thrives in ambiguity, and wants to help shape something entirely new.

As the Product Lead aligned to a pod, you will own the endtoend strategy, roadmap, and delivery of our B2C/B2B digital loyalty products integrated into our digital platforms per the pod scope - from discovery to build, launch, and continuous optimization. This role requires technical depth, principled decision making, a high bar for quality, and the ability to lead confidently in uncharted territory.

You will collaborate closely with Engineering, Design, Data, and cross functional business leaders to develop intelligent, seamless digital experiences at speed.

• Reporting to: VP. Product & Data
• Location: Remote - US-Based Only
• Salary Range: $150k - $190k + bonus

The final salary offered will depend upon factors that may include, but are not limited to, the quality and length of experience, education, and geographic location.

• Define the product vision, strategic bets, and outcome based roadmap for loyalty and commerce experiences across web/app.
• Partner with business stakeholders to align product direction with Revance's broader digital strategy and growth goals.
• Establish outcome based OKRs and KPIs/success metrics (enrollments, engagement, retention, LTV).

• Lead the full lifecycle: discovery requirements UX/design technical development QA/UAT launch iteration.
• Translate customer, business, and regulatory needs into clear epics, user stories, and acceptance criteria.
• Drive build quality through strong cross functional alignment with Engineering and QA.

• Serve as the product lead within a cross functional pod (Engineering, Design, Data, QA), owning prioritization, sequencing, and tradeoff decisions required to meet outcomes
• Lead and coordinate the work of cross functional contributors (engineers, designers, data partners, QA, and business analysts) as needed for delivery with or without people management responsibilities.
• Act as the primary decision maker for product scope and priority within the pod, escalating only when tradeoffs materially impact strategy, timeline, or risk.
• Facilitate pod ceremonies (planning, standups, reviews, retros) with SCRUM master as applicable and remove blockers to execution.
• Partner with engineering leaders on architecture, platform dependencies, integrations, and reusable components.
• Drive rapid iteration and agile development practices to accelerate time-to-market while maintaining quality
• Ensure scalability, security, and regulatory compliance across all customer-facing platforms and data solutions

• Supervise and provide functional leadership to business analysts and developers assigned to the pod, ensuring clarity of requirements, scope, and acceptance criteria as needed.
• Guide teams through complex problem solving by breaking down ambiguous needs into clear, actionable product increments.
• Support consistent execution by reinforcing product standards, delivery expectations, and outcome based thinking.

• Champion a consumer/customer centric approach: lead discovery, synthesize insights, analyze behavior and market data in close collaboration with business stakeholders.
• Map endtoend journeys and identify friction points to create seamless, modern loyalty and commerce experiences.
• Work with Design to prototype, test, and iterate user experiences.

• Instrument analytics with Data teams to track product performance and guide roadmap decisions.
• Run experiments (A/B tests, pilots, incremental rollouts) to validate hypotheses and optimize funnel outcomes.
• Utilize insights to drive continuous product and experience improvements.

• Embed AI where it drives outcomes (e.g., personalization, nextbestaction, intelligent support, anomaly detection), partnering with Engineering and Data to move from prototypes to production ready features with clear success criteria.
• Leverage AI tools to improve PM efficiency (e.g., backlog grooming aids, spec/acceptance criteria drafting,…