<div class="content-intro"><h3><strong>About Engine</strong></h3> <p>Engine is the AI-native platform for intelligent travel. For a decade, Engine has built the proprietary technology and supply behind modern business travel, serving over 40,000 customers and nearly 2 million travelers, along with leading travel and AI companies that build on Engine's infrastructure. One system powers business travel, group travel, human agents, and AI agents.<br><br>That work has earned Engine recognition as TravelTech's Reservation Platform of the Year (2026), a spot on Inc.'s Power Partners list (2026), and one of Built In's Best Places to Work (2020–2026).<br><br>We're looking for bold, ambitious people to help redefine how businesses manage and experience travel. Working here, you can expect exponential growth, an ambitious pace, full ownership, and high-caliber colleagues who push you to do the best work of your career. Every hire raises the bar.<br><br>Come outpace the ordinary and build the future of travel with us.</p></div><div><strong>Your Mission</strong></div> <div><br>We’re looking for an Analytics Manager to lead product analytics for our Pricing & Supply teams. This group powers Engine-only rates, our marketplace coverage and how competitive we are. Its decisions move conversion, margin and customer value every day.</div> <div><br>This is a product-first leadership role. You and your team will sit inside product pods as thought partners who shape the roadmap, not as a reporting function waiting on tickets. Experimentation is how we make decisions here: you’ll set the standard for how Pricing & Supply tests, measures and learns. You’ll also take on technically demanding problems such as pricing models, demand and elasticity analysis, and causal questions that a simple A/B test can’t answer.</div> <div><br>You don’t need a pricing or supply background. You do need to be excited by hard marketplace problems and by building a team that turns them into better products and better decisions. Join us in reshaping how businesses experience travel.</div> <div><br><strong>What You’ll Do</strong></div> <ul> <li>Lead, coach and grow a team of about 5 analysts embedded with Pricing, Supply and Content.</li> <li>Act as a strategic partner to product and business leaders. Shape roadmaps, challenge assumptions and bring forward opportunities nobody asked you to find.</li> <li>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.</li> <li>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.</li> <li>Lead analysis on pricing and marketplace dynamics, including price elasticity, demand and conversion modeling, rate competitiveness, supplier performance, margin tradeoffs and customer segmentation.</li> <li>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.</li> <li>Set a high bar for rigor: clear metric definitions, sound statistics, honest uncertainty, and storytelling that leads to action.</li> <li>Push back with evidence when a decision, launch or metric doesn’t hold up, and coach your team to do the same.</li> <li>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.</li> <li>Model an AI-forward way of working and build team habits for using AI tools well, including verifying what they produce.</li> </ul> <div><strong>What You’ll Bring to Engine</strong><br><em>Required</em></div> <ul> <li>7+ years in product analytics, product data science, or a closely related role, embedded with product and engineering teams.</li> <li>3+ years managing and developing analysts or data scientists, with a track record of hiring and retaining strong talent.</li> <li>Deep experimentation experience: designing, running and interpreting A/B tests at scale, plus a working knowledge of causal inference methods for cases where clean randomization isn’t available.</li> <li>Strong statistical foundations, including regression, hypothesis testing, and variance reduction or similar techniques. Comfortable working with and pressure-testing predictive or pricing models.</li> <li>Expert SQL on large, complex datasets, and proficiency in Python or R for analysis and modeling.</li> <li>A product-first mindset: you start with the customer, the business and the decision at hand, not the warehouse.</li> <li>Clear examples of insights you or your team started that changed a roadmap, launch or pricing decision, with measurable impact.</li> <li>The conviction to hold a well-reasoned position with senior stakeholders, and the communication skills to influence technical and non-technical audiences alike.</li> </ul> <div><em>Preferred</em></div> <ul> <li>Experience with pricing, revenue management, marketplaces, supply or inventory, or other two-sided businesses.</li> <li>Experience with demand forecasting, price elasticity, or optimization problems.</li> <li>B2B experimentation experience, such as account-level randomization, small samples, or multi-user accounts.</li> <li>Experience buildi