Top Tech Jobs & Startup Jobs in NYC, NY

Design, train, and deploy time-series forecasting and real-time machine learning models to improve marketplace efficiency. Partner with engineers, product, and business teams to frame problems, run exploratory analysis, implement production model code, build backtesting and live experiments, and define monitoring and tooling for model health and operational efficiency.

Leads marketing strategy and operations by managing annual planning, budgets, reporting, campaign execution, marketing technology, process optimization, and cross-functional initiatives. Provides data-driven insights, supports marketing leadership, trains staff on platforms, and improves team productivity and collaboration.

Own Lyft Ads' programmatic and Audience Extension go-to-market strategy, including positioning, packaging, pricing, and measurement. Manage DSP, SSP, data clean room, ad network, and measurement partnerships; negotiate commercial structures; drive joint business plans and revenue accountability. Partner cross-functionally with Product, Engineering, Data Science, Sales, Marketing, and Finance to develop scalable advertising products, evaluate market opportunities, and grow programmatic revenue.

Data Analyst Intern supporting Lyft Urban Solutions by developing reporting frameworks, defining performance metrics, building dashboards, diagnosing KPI trends, and delivering reliable insights to city partners. The role collaborates with Operations, Engineering, Data Science, Product, and Finance teams to improve bikeshare fleet management, pricing, accessibility, and infrastructure decisions.

Data Science Interns will develop optimization, machine learning, or inference models supporting Lyft’s marketplace and transportation platform. Responsibilities include exploratory data analysis, production modeling, algorithm implementation, simulated and live experiments, statistical analysis, and communicating findings to guide launch decisions. Interns collaborate with engineers, product managers, and cross-functional partners. Candidates must be pursuing a relevant master’s or PhD and be available in Summer 2027 for a hybrid internship in New York City.

Design, develop, deploy, and improve real-time machine learning systems for Lyft’s Fulfillment team. Build feature pipelines, training workflows, and model-serving infrastructure; translate research into production; evaluate models against business KPIs; run experiments; write production code; conduct code reviews; and collaborate with product, data science, and engineering teams.

Own pricing, yield, and sales compensation for Lyft Ads and Lyft Business. Set CPM floors, rate cards, and margin targets; monitor sell-through and vendor-managed Audience Extension performance; design and administer commission plans; run compensation calculations, reconcile with Accounting, and coordinate adtech/OMS systems across Analytics, Sales, and Finance.

Manage enterprise client relationships for Lyft Business, serving as the primary representative for transportation needs. Design and sell custom solutions, expand revenue through upsells and cross-sells, maintain sales pipelines and forecasts, and lead QBRs and account health reviews. Partner cross-functionally with Product, Engineering, Legal, Marketing, and Sales Operations while developing customer growth strategies, addressing roadblocks, and promoting Lyft products across client organizations.

Lead decision science initiatives to improve operational efficiency and financial outcomes. Build decision frameworks, attribution and forecasting models, deliver reproducible Python/SQL code, mentor data scientists, and partner cross-functionally to measure and scale impact.

Own and manage Lyft's airport partnerships across the Northeast region. Serve as primary contact for airport authorities, negotiate and implement agreements, coordinate cross-functionally to deliver on airport requirements, handle day-to-day operational requests, launch new airports and agreements, and maintain accurate internal systems and records.