Engine Manager, Product Analytics at Engine leads a team of analysts focused on Pricing & Supply product analytics. The role involves shaping product roadmaps, managing experimentation programs, and analyzing marketplace dynamics.
Responsibilities
Lead, coach and grow a team of about 5 analysts embedded with Pricing, Supply and Content.
Act as a strategic partner to product and business leaders. Shape roadmaps, challenge assumptions and bring forward opportunities nobody asked you to find.
Own the experimentation program for Pricing & Supply: test design, power and sample sizing, guardrail metrics, readouts, and the judgment to know when not to test.
Go beyond basic A/B testing when the problem needs it. Use holdouts, quasi-experiments, difference-in-differences, or matching when randomization isn’t possible or two-week tests miss the real effect.
Lead analysis on pricing and marketplace dynamics, including price elasticity, demand and conversion modeling, rate competitiveness, supplier performance, margin tradeoffs and customer segmentation.
Partner with Pricing to evaluate, stress-test and improve the models that drive Engine-only rates. Make sure the team understands what drives model outputs, not just what the outputs are.
Set a high bar for rigor: clear metric definitions, sound statistics, honest uncertainty, and storytelling that leads to action.
Push back with evidence when a decision, launch or metric doesn’t hold up, and coach your team to do the same.
Work with Data Engineering and Analytics Engineering to strengthen data foundations, canonical metrics and self-serve tools, so your team spends its time on high-leverage work.
Model an AI-forward way of working and build team habits for using AI tools well, including verifying what they produce.
What You’ll Bring to Engine
7+ years in product analytics, product data science, or a closely related role, embedded with product and engineering teams.
Qualification
Experience with pricingExperience with demand forecastingB2B experimentation experienceExperience in travel
Preferred
Experience with pricing, revenue management, marketplaces, supply or inventory, or other two-sided businesses.
Experience with demand forecasting, price elasticity, or optimization problems.
B2B experimentation experience, such as account-level randomization, small samples, or multi-user accounts.
Experience building an analytics or experimentation function from an early stage: telemetry, canonical metrics, testing infrastructure.
Familiarity with modern data tools such as Snowflake, dbt, Looker, Hex, or experimentation platforms.
Experience in travel, hospitality, fintech, or other high-transaction businesses.
