Manager, Product Management

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We're not here to add to the noise. We're here to cut through it- with AI that actually works for marketers.

From AI-powered content creation to world-class CMS and the industry's most trusted experimentation platform, Optimizely is the tool modern marketers actually want to use. AI-Ready. Set. Go.

10,000+ brands including H&M, Pay Pal, and Zoom already get it. So do Gartner, Forrester, and IDC, who consistently recognize us as leaders in Mar Tech.

But here's the thing about building great products: it takes great people. Our 1,600+ Optimizers across 12 global offices are curious, collaborative, and refreshingly human. We don't do corporate speak. We do real conversations, big ideas, and genuinely care for the work we make together.

If you want to be part of a team that's shaping the future of marketing technology — and actually enjoys doing it — you're in the right place.

Find us on Instagram: @optimizely

We'relooking for a Manager, Product Management for Optimization Analytics - the metrics, statistics, events, and reporting that tell our customerswhether whatthey shipped across experimentation, personalization and feature management worked.

You’llown product strategy and execution for Optimization Analytics: the measurement and reporting layer underneath every experiment, feature rollout, and personalization campaign we run.

You’llalso build and lead a team of three - two statisticians and a product manager to begin with. This is a player coach role where you wouldbe responsible for guiding direction of our statistics and program ROI product developments while leading efforts around metrics,results and new AI agent development.

You’llhelp define what this function looks like in the age of AI. As a company, we have heavily invested in agentic workflows across ourproductsand this role would own agentic optimization analytics toidentifyinteresting segments, detect anomalies, build readout reports and more.

• 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, including work you don't personally produce.
• Build a team culture where statisticians and PMs collaborate effectively together to build better product.
• Own the roadmap for Optimizely's measurement and reporting capabilities: the metrics catalog, statistical engine, events pipeline, and program ROI reporting that customers and internal teams depend on.
• Partner with Product leadership to connect this roadmap to the broader experimentation and personalization portfolio, so every product tells a consistent, defensible story about impact.
• Use customer and market signal to prioritize investment across statistical rigor, self-serve reporting, and program-level ROI storytelling.

Statistical Rigor & Methodology Oversight

• Act as a credible thought partner to your statisticians: understand the tradeoffs across classical, Bayesian, and causal-inference approaches well enough to review their work, defend it to customers, and know when to push back.
• Set and enforce standards for statistical validity across the platform, protecting the credibility of every result Optimizely surfaces.
• Recognize when a statistical question needs deeper expertise than you can personally provide, and route it to the right person without slowing the team down.

Customer & Cross-Functional Engagement

• Get in front of customers to explain how we protect statistical accuracy, and to hear directly what's blocking their confidence in the numbers.
• Partner with Engineering, Design, Product Marketing, and…