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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, PayPal, and Zoom already get it. So do Gartner, Forrester, and IDC, who consistently recognize us as leaders in MarTech.
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
Introduction
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 forguiding direction of our statistics and program ROI product developments while leading efforts around metrics,resultsand 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.
Job 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, 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 Customer Success to ship reporting and measurement capabilities customers actually use.
- Represent your team's work to Product leadership, translating statistical nuance into a story executives and customers can act on.
- Build and ship agents that do real statistical and analytical work — catching sample ratio mismatches, estimating power, recommending metrics, or surfacing root causes — not just summarizing dashboards.
- Set the bar for how your team uses AI day to day, so agents become part of how the work gets done, not a side project layered on top of it.
- Partner with our AI product and engineering teams to make sure analytics and statistics are full citizens of Optimizely's broader AI strategy.
Knowledge and Experience
- 5+ years of Product Management experience, including 2+ years directly managing product managers, statisticians, data scientists, or other technical individual contributors.
- Comfortable partnering with a statistics team - you don't need to derive the models yourself, but you understand classical inference, Bayesian methods, or causal inference well enough to be a credible reviewer and thought partner.
- Hands-on experience building AI agents or agentic workflows, not just directing others to use AI tools; you can speak to specific agents you've built, the tradeoffs you made, and what you'd do differently.
- A 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, not a formula.
- An excellent communicator who can translate statistical nuance for engineers and executives alike, and who builds trust quickly with a team whose expertise differs from their own.
- Highly collaborative and self-motivated, with experience managing a small, technically deep team across time zones.
Why Join Us
- Lead the team responsible for the numbers behind every Optimizely experiment, feature rollout, and personalization campaign — the function that decides what "it worked" really means.
- Help define what an AI-native analytics and statistics practice looks like, with real agents doing real work.
- Build and grow a team from the ground up, shaping both its people and its product.
- Work alongside statisticians, engineers, and product leaders who care deeply about getting the numbers right.
- Join a company recognized by Gartner, Forrester, and IDC as a leader in MarTech , at a moment when analytics is one of our biggest growth bets.
Education
Bachelor's degree or equivalent working experience.
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.
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