Hotel Engine

• Own Engine's Operating Cadence: Design and run the company-wide planning rhythms (MBRs, QBRs, annual planning) that keep the business aligned. Transition reporting to async models so leadership meetings focus entirely on debates and decisions. • Drive Strategic Planning & Resource Allocation: Partner with Finance, People, and the ELT to translate company strategy into financial models, headcount plans, and clear enterprise goals. • Lead High-Stakes Execution: Serve as the DRI for cross-functional "big bets," ensuring the right resources are deployed against our hardest problems, from initial business case through delivery. • Provide Executive Visibility & Analytics: Drive objective visibility into initiative health. Build the dashboards, telemetry, and reporting pulses that give the ELT a real-time look at the business. • Serve as an ELT Operating Partner: Synthesize complex data across product, sales, and operations to identify misalignments, unblock bottlenecks, and enable rapid, well-informed executive decision-making. • Build the Centralized Ops Function: Scale a high-performing pool of Program Managers and Business Operators, allocating them dynamically to where the organization's friction points are highest. • Embed AI-Driven Efficiency: Champion an AI-first approach to operations. Automate the operating cadence and data collection where possible, ensuring the business gains operational leverage as it scales.

• Own post-go-live success for a portfolio of enterprise and midmarket Omni partners from first booking through sustained GBV growth • Monitor partner health across booking volume, rate quality, conversion, and engagement; flagging risks and acting before they compound • Drive GBV growth within your portfolio through proactive check-ins, performance reviews, and optimization recommendations • Lead QBRs for strategic accounts and health check-ins for mid-market accounts, translating data into forward-looking strategy, not just reporting • Serve as the first line of escalation for post-live partner issues, coordinating with Solutions Engineering and Product to drive resolution • Ensure no partner goes 60+ days post-go-live without a meaningful check-in — catching adoption gaps before they become churn risks • Get looped in at contract signature (before the SE starts the technical build) so you understand the partner’s goals, team, and definition of success from day one • Coordinate alongside the SE during the implementation window: own the commercial and relationship track while SE owns the technical track • Define activation milestones with each partner and hold both sides accountable to them • Drive partners to first booking within the implementation window; own the handoff from SE to ongoing success management • Build the partner’s internal champions — product, commercial, and operational contacts — so Engine has multi-threaded relationships before go-live • Manage a tiered portfolio of strategic juggernauts to flashy startups, prioritizing your book according to revenue and brand potential • Identify expansion opportunities within existing partner footprints — new use cases, user segments, or product lines • Surface groups and channel pipeline opportunities and upsell in partnership with the Business Development team • Contribute to the $30M Omni GBV goal through active portfolio management and a relentless focus on partner activation and retention • Feed partner insights back into product and SE — you are the voice of the live partner base.

• Own the analytics vision and roadmap for Marketing, Sales, and Finance. • Lead, grow, and develop a team of 15+. • Serve as the primary analytics partner to Engine’s leadership. • Partner with Growth leadership to build the analytical foundation. • Equip the revenue organization with the insights it needs. • Partner with Finance to power revenue reporting and business performance. • Build and continuously improve a best-in-class analytics operating model. • Elevate the craft across the team and develop strong business partners. • Identify gaps in the underlying data and improve instrumentation.

• Own the full paid performance portfolio for B2B Travel, covering strategy, execution, and measurement across all channels: search, social, programmatic, CTV, audio, and emerging platforms. • Drive net-new business sign-ups and improve the rate at which sign-ups convert into first-time bookers, owning both halves of the acquisition motion. • Drive acquisition efficiency, measured against product-line ROAS and LTV:CAC, not channel-level proxies. • Partner across Performance, Analytics, and Product to ensure measurement, attribution, and signal quality reach a high bar across the sign-up and first-booking funnel. • Own the creative testing loop for Travel (hypothesis, variant, scaled winner) in partnership with brand and creative resources. • Lead channel expansion into net-new paid channels (CTV, Spotify and audio, direct mail, emerging platforms) with a structured test-and-graduate framework. • Build and maintain the weekly performance narrative for Travel: what's working, what's not, and what's next. • Coordinate with lifecycle and CRM so paid acquisition hands off cleanly into the customer journey, without owning the email and journey flows yourself. • Use AI tools and workflows to increase throughput: audience building, creative briefing, performance reporting, and in-platform optimization.

• Own the Supply GTM stack. Administer the call recording, sequencing, and data enrichment platforms end-to-end — user setup, permissions, sequences, automations, and troubleshooting — alongside the Salesforce and iPaaS foundation underneath them. Lead multiple concurrent initiatives, set direction, and make and communicate the trade-offs with precision. • Build declaratively first, code when it counts. Design and ship solutions Flow-first (record-triggered, screen, and scheduled Flows; validation rules; permission-based security). Write lightweight Apex — trigger handlers, small async/batch jobs, and the test coverage to back them — and build Lightning Web Components for custom UI where declarative tooling falls short. Know when not to write code. • Guard data integrity across the stack. Own accurate sync and data quality between Salesforce and the tools — enrichment data, call/activity capture, and sequence engagement flowing cleanly into the CRM. Monitor system health, diagnose sync failures at the root cause, and build the guardrails that keep the data clean. • Design scalable processes. Partner with sales leadership and RevOps to turn manual, ad hoc outbound workflows into durable, scalable automation aligned to business goals. • Set the standard and raise the team. Define admin standards, documentation, and conventions for the stack. Mentor more junior admins, serve as the escalation point for complex tooling issues, and coach the team through tricky cross-functional decisions. • Lead tool evaluation and rollout. Drive evaluation, selection, and implementation of new tooling for the stack, choosing the right tool for the problem and navigating ambiguity with confidence.

• Build, maintain, and improve Engine X's core performance dashboards; covering card activation rates, spend volume, gross booking value, rewards utilization, spend category breakdowns, and cardholder retention. • Track and report on key Engine X metrics on a regular cadence, ensuring stakeholders across product, finance, and leadership have accurate and timely visibility into card performance. • Investigate data anomalies and surface findings clearly; when a metric moves unexpectedly, you diagnose it, document what you found, and communicate it before it becomes a question someone else is asking. • Write and maintain complex SQL queries to extract, clean, and aggregate data from Snowflake across card transaction logs, booking activity, rewards ledger data, and cardholder activation events. • Build and document reusable data models and reporting assets that the team can rely on — well-structured, well-named, and built to last beyond the person who created them. • Support A/B tests and product experiments by setting up the analytical framework, pulling results accurately, and presenting findings in a format that informs a clear decision. • Partner with senior analysts and product managers to scope analytical requests, understand what's being asked, and deliver work that's precise, complete, and ready to act on. • Collaborate with analytics engineering and data engineering to flag data quality issues, validate pipeline outputs, and ensure the underlying data powering Engine X reporting is reliable. • Develop and maintain clear documentation for the metrics and models you own, definitions, logic, known limitations, and refresh cadences, so the team always knows what the numbers mean.

• Design, run, and analyze A/B tests and product experiments across the Omni funnel — from hypothesis definition and instrumentation validation through results analysis and recommendation. • Proactively surface insights to product managers: anomalies in booking behavior, partner conversion degradation, funnel drop-offs, and pricing patterns that signal an opportunity — before anyone asks. • Own deep visibility into the Omni search-to-booking funnel; identify where and why partners and travelers drop off, model the impact of product changes on conversion, and connect funnel performance to revenue outcomes. • Build and maintain analytics that track partner performance across Omni Swift and Halo — activation rates, booking volume, revenue share, API health, and feature adoption. • Analyze how real-time pricing, inventory availability, and AI-driven pricing signals affect search quality, conversion, and revenue; surface patterns that inform pricing strategy and product decisions. • Monitor and analyze API and product health metrics — latency, search response quality, error rates, content deduplication effectiveness — and translate technical signals into product and business implications. • Partner closely with Omni PMs as an embedded analytical resource: contribute to PRDs with data, challenge assumptions with analysis, and ensure the analytical voice is present in every product decision and roadmap prioritization. • Leverage advanced SQL to explore large, complex datasets — booking events, search logs, pricing signals, and partner activity — and uncover key insights at scale. • Independently investigate open-ended product and business questions; identify patterns, quantify opportunities, and deliver actionable recommendations to product and senior leadership. • Identify instrumentation gaps and partner with engineering to ensure the right events are captured; collaborate with analytics engineering to build clean, reusable data models that enable self-service analysis across the team.

• Craft and execute innovative strategies to execute quarterly compliance testing, conduct QC reviews of controls, and document findings, ensuring Engine stays ahead in the industry and remains audit-defensible from day one. • Collaborate with cross-functional teams to unlock new opportunities and deliver seamless experiences for our customers by assisting with compliance reviews for new product launches, feature releases, and marketing campaigns across all product lines (Engine X, Direct Bill, Travel, and Rewards). • Lead the day-to-day governance of Engine's Compliance Management System (CMS), including BSA/AML oversight, regulatory change tracking, and policy maintenance to enhance efficiency, scalability, and customer satisfaction. • Provide exceptional support and insights to our clients, ensuring every interaction with Engine exceeds expectations by systematically quality-checking automated outputs, managing complaint trend reporting, and ensuring strict compliance with banking partner and regulatory standards.

• Craft and execute innovative strategies to build and operate Engine’s enterprise data privacy, AI governance, and risk management function, ensuring Engine stays ahead in the regulatory landscape. • Collaborate with cross-functional teams like Security, Product, and Finance to unlock new opportunities and deliver seamless, legally compliant experiences for our customers. • Lead the design and implementation of automated workflows (such as CCPA/CPRA handling) and structured frameworks (including AI governance and tiered vendor risk programs) to enhance efficiency, scalability, and corporate compliance. • Provide exceptional support and insights to our clients and internal partners, ensuring every risk evaluation and incident response interaction with Engine exceeds expectations.

• Own month-end close across assigned GL areas — journal entries, reconciliations, and flux analysis — with a relentless focus on accuracy, speed, and reducing manual effort close-over-close. Key assigned areas include high-complexity, revenue-specific workflows across multiple business verticals. • Develop and maintain deep understanding of Engine's revenue model and business economics — enough to anticipate the accounting implications of product and commercial decisions before they hit the GL. • Apply deep expertise in revenue recognition to ensure GAAP-compliance in both accounting for existing revenue streams and in building frameworks for new streams if they launch. • Collaborate cross-functionally with Product, Data Engineering, Finance, and Operations on accounting for new and evolving areas of the business — often before a playbook exists. Work directly with large, complex datasets to support accurate and complete accounting records, navigating and manipulating data across systems to drive close deliverables and substantiate positions. • Build and maintain automation workflows using AI tools (Claude, Gemini, Cowork, or equivalent) and reporting platforms to eliminate recurring manual work and compress close timelines. • Partner with the data team to investigate issues at root cause, assess full population impact, and implement solutions that hold up at scale. • Communicate accounting findings, data investigations, and process changes clearly to Finance, Product, and business leadership — translating complexity into actionable insight and empowering data-driven decisions. • Prepare timely, well-organized support for financial audits, quarterly close packages, and technical accounting memos.