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About the Role
We are seeking a Manager, Product Management for Optimization Analytics to own product strategy and execution for the measurement and reporting layer of our products. This player-coach role involves building and leading a team of statisticians and a product manager, guiding statistical and program ROI developments, and defining the future of agentic optimization analytics.
Responsibilities
- Lead a team of two statisticians and a product manager, building career paths for a technical, customer-facing function that blends deep statistical rigor with product ownership.
- Set clear goals and quality standards for both product and technical work.
- Build a team culture where statisticians and PMs collaborate effectively.
- Own the roadmap for Optimizely's measurement and reporting capabilities: the metrics catalog, statistical engine, events pipeline, and program ROI reporting.
- Partner with Product leadership to connect this roadmap to the broader experimentation and personalization portfolio.
- Use customer and market signal to prioritize investment across statistical rigor, self-serve reporting, and program-level ROI storytelling.
- Act as a credible thought partner to statisticians, reviewing their work and defending it to customers.
- Set and enforce standards for statistical validity across the platform.
- Recognize when a statistical question needs deeper expertise and route it appropriately.
- Engage with customers to explain statistical accuracy and gather feedback.
- Partner with Engineering, Design, Product Marketing, and Customer Success to ship effective capabilities.
- Represent your team's work to Product leadership, translating statistical nuance into actionable insights.
- Build and ship agents that perform statistical and analytical work.
- Set the standard for how the team uses AI day to day.
- Partner with AI product and engineering teams to integrate analytics and statistics into Optimizely's AI strategy.
Requirements
- 5+ years of Product Management experience.
- 2+ years directly managing product managers, statisticians, data scientists, or other technical individual contributors.
- Comfortable partnering with a statistics team, understanding classical inference, Bayesian methods, or causal inference.
- Hands-on experience building AI agents or agentic workflows.
- Track record of owning a product area end to end: setting strategy, shipping, and proving impact with data.
- Strong technical acumen with data infrastructure, metrics systems, or reporting platforms.
- Comfortable in ambiguity where 'the right answer' is a judgment call.
- Excellent communicator who can translate statistical nuance for engineers and executives.
- Builds trust quickly with a team whose expertise differs from their own.
- Highly collaborative and self-motivated.
- Experience managing a small, technically deep team across time zones.
Skills
- Product Management
- Statistics
- AI agents
- Agentic workflows
- Data infrastructure
- Metrics systems
- Reporting platforms
- Classical inference
- Bayesian methods
- Causal inference
- Communication
- Collaboration
- Team leadership
Location
- Global
Work Type
- Full-time
Experience Level
- Manager
- 5+ years of Product Management experience
- 2+ years managing technical individual contributors
Education Level
- Bachelor's degree or equivalent working experience
About the Company
- Optimizely provides AI-powered content creation, world-class CMS, and the industry's most trusted experimentation platform.
- 10,000+ brands including H&M, PayPal, and Zoom use Optimizely.
- Recognized by Gartner, Forrester, and IDC as leaders in MarTech.
- A company of 1,600+ Optimizers across 12 global offices.
- Fosters a culture of curiosity, collaboration, and genuine care.
- Optimizely is shaping the future of marketing technology.
Equal Opportunity
- Optimizely is committed to a diverse and inclusive workplace.
- Optimizely is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.