Easy Apply
Easy Apply
Leads analytics for Pricing and Supply, managing a team of approximately eight analysts. Partners with cross-functional leaders to prioritize analytical work, build dashboards and decision frameworks, improve metric quality, and generate insights into pricing, supplier coverage, marketplace performance, conversion, margin, and customer behavior. Coaches analysts, establishes scalable analytics processes, and collaborates with data engineering teams to improve data models, tooling, and self-service capabilities.
About Engine
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.
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).
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.
Come outpace the ordinary and build the future of travel with us.
Your Mission
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.
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.
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.
What You’ll Do
- 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
Required
Required
- 7+ years in product analytics, product data science, or a closely related role, embedded with product and engineering teams.
- 3+ years managing and developing analysts or data scientists, with a track record of hiring and retaining strong talent.
- 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.
- Strong statistical foundations, including regression, hypothesis testing, and variance reduction or similar techniques. Comfortable working with and pressure-testing predictive or pricing models.
- Expert SQL on large, complex datasets, and proficiency in Python or R for analysis and modeling.
- A product-first mindset: you start with the customer, the business and the decision at hand, not the warehouse.
- Clear examples of insights you or your team started that changed a roadmap, launch or pricing decision, with measurable impact.
- The conviction to hold a well-reasoned position with senior stakeholders, and the communication skills to influence technical and non-technical audiences alike.
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.
Compensation
Our compensation packages are based on several factors, including your experience, expertise, and location. In addition to a competitive base salary, all roles receive equity. Depending on the role, total compensation may also include an annual bonus. Your recruiter will share your complete compensation package as you move through the process.
Base Pay Range
$144,500—$200,000 USD
The Engine Edge: Perks & Compensation
We believe in rewarding great work with great benefits:
- Compensation: Competitive base pay tied to role and experience, with equity for all employees. Some roles are also eligible for bonuses or commissions.
- Benefits: Check out our full list at engine.com/culture
- Environments for Success: Different roles have different needs in terms of the environments that drive success which is why we have a hybrid-hub model. Whether you are in one of our amazing offices or fully remote, we'll make sure you have what you need to succeed.
Perks and benefits may vary based on employment type, location, and more
Engine Chicago, Illinois, USA Office
Our office is in Chicago's West Loop, directly above Ogilvie Station and a short walk from Union Station, an easy commute from anywhere in the metro, and right between the Loop and Fulton Market's restaurants, cafes, and rooftops.
Similar Jobs at Engine
Artificial Intelligence • Fintech • Software • Travel
Build and maintain internal AI-powered tools and automations for sales, customer success, and revenue operations. Implement features, automate lead routing and pipeline workflows, troubleshoot integrations, monitor tools, fix bugs, and evaluate AI platforms. Collaborate with nontechnical stakeholders to gather requirements and deliver reliable, documented code using APIs, scripting languages, and database systems.
Top Skills:
Ai ToolsAPIsClayDatabasesGongHubspotJavaScriptMakeN8NPythonSalesforceTypescriptWorkatoZapier
Artificial Intelligence • Fintech • Software • Travel
Leads and develops a partner growth team responsible for GBV, pipeline, activation, retention, expansion, and churn targets. Owns strategic partner relationships, forecasting, Salesforce discipline, account growth plans, cross-functional execution, and talent development. Drives partner performance across Engine’s travel and spend ecosystem while improving handoffs, re-engagement, and operational rigor.
Top Skills:
AIAutomationSalesforce
Artificial Intelligence • Fintech • Software • Travel
Leads internal, temporary, and BPO customer support teams across voice, chat, and email. Owns CSAT, productivity, quality, adherence, SLA, and staffing performance; coaches employees, manages escalations, supports hiring and onboarding, partners with workforce management and QA, and leads process-improvement initiatives. The manager also uses analytics, AI, and automation tools to improve efficiency and customer experience, manages team administration, and participates in a weekend Manager on Duty rotation.
Top Skills:
AIAssembledAutomationBusiness Intelligence ToolsConversation IntelligenceGrok BotHexLookerSalesforceSentiment AnalysisSlackWorkforce Management Tools
What you need to know about the Chicago Tech Scene
With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.
Key Facts About Chicago Tech
- Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
- Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
- Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
- Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory
