Top Tech Jobs & Startup Jobs in NYC, NY

Own go-to-market strategy and execution for Engine’s OBT+ TMC partnership channel. Prospect, negotiate, and close strategic TMC agreements; develop commercial models, pricing inputs, ROI cases, and launch plans; influence product roadmaps; coordinate with Product, Engineering, Supply, Implementation, Legal, Finance, and Marketing; and represent Engine at corporate travel events and executive meetings.

Own technology and distribution partner accounts, maintaining API and integration health, content quality, incident resolution, onboarding, revenue growth, QBRs, renewals, and technical roadmap alignment. Serve as the primary technical and commercial contact for OTAs, GDS partners, connectivity providers, and channel partners while coordinating with Product, Engineering, Operations, Pricing, and Finance.

Own the full commercial credit underwriting lifecycle, including application review, KYB verification, credit bureau analysis, limit-setting, documentation, escalations, and decisioning. Identify risk patterns, support backtesting of policy changes, improve workflow automation, develop SOPs, and coordinate with Fraud on overlapping application-stage signals.

Own product-led growth strategy across onboarding, activation, retention, monetization, cross-sell, and expansion. Lead AI-powered experiences, experimentation, A/B testing, and data-driven optimization across the travel and spend management platform. Partner with engineering, design, data, sales, account management, and marketing to connect product activity with revenue opportunities and deliver customer value.

The Senior Data Analyst will lead metrics definition, reporting, statistical analysis, experimentation, dashboard management, and pricing analytics. The role involves building data pipelines, collaborating with data engineers on data assets and feature stores, investigating complex business questions, and translating analytical findings into strategic recommendations for product, pricing, and senior leadership. Strong SQL, statistics, econometrics, communication, and cross-functional collaboration skills are essential.

Leads Engine’s financial strategy, planning, forecasting, capital allocation, fundraising, transactions, reporting, and investor communications. Partners with the CEO, executive team, Board, lenders, and investors while building a scalable Finance organization, infrastructure, controls, and data-driven operating cadence for a high-growth technology company.

Owns the People partnership for a defined client group, coaching managers, managing employee relations, and running performance, compensation, and organizational health cycles. The role supports workforce planning, headcount reconciliation, recruiting systems, onboarding, transitions, and termination preparation. It requires strong business acumen, trusted stakeholder relationships, sound judgment, process discipline, and the ability to operate independently in a fast-changing environment.

Own a customer-facing product area end to end, including vision, strategy, roadmap, discovery, launch, and iteration. Use customer research, behavioral data, funnel analysis, and experimentation to improve conversion, engagement, and retention. Apply AI tools and capabilities to accelerate product development and enhance customer experiences. Partner cross-functionally with Engineering, Design, Data, Sales, Operations, and Support to deliver outcomes.

Own the strategy, roadmap, requirements, launch, adoption, and success metrics for a technical platform. Partner with engineering, data, product, and business teams; evaluate architecture, APIs, and system tradeoffs; prioritize foundational investments against customer and revenue outcomes; and apply AI to improve platform capabilities. The role requires strong product management experience, technical depth, analytical skills, and production experience with LLM-based or ML-adjacent products.

Own internal AI and automation products that make Engine’s business functions faster and more scalable. Map workflows, identify high-value repetitive workloads, establish baseline metrics, partner with engineering to build and launch solutions, and drive adoption. The role requires evaluating LLMs and agents, incorporating human review, controlling scope and costs, measuring cycle-time improvements, and transitioning successful workflows to functional owners.