Top Tech Jobs & Startup Jobs in NYC, NY

Supports digital advertising campaigns from pre-sales planning through post-sale execution, including inventory forecasting, campaign trafficking, optimization, reporting, billing coordination, and data accuracy. Partners with Account Executives, Ad Operations, Legal, Product, Engineering, and clients to deliver campaigns and improve processes. Initially supports client relationships, with opportunities to independently manage accounts and lead client communications over time.

Manage enterprise transportation programs for Lyft Business customers, serving as the implementation lead, product specialist, and primary support contact. Responsibilities include onboarding and product demos, troubleshooting billing and functionality issues, monitoring program usage, optimizing customer solutions, and coordinating with sales, product, support, finance, legal, and other teams.

The Chief of Staff serves as a strategic partner and execution lead for Lyft Urban Solutions leadership. Responsibilities include annual planning and OKRs, operating governance, executive preparation, strategic initiatives, internal communications, change management, organizational effectiveness, cross-functional alignment, and scalable process improvement. The role coordinates global teams across product, operations, finance, legal, policy, and people functions while driving decisions and priorities through delivery.

Supports actuarial data pipelines, monitoring dashboards, pricing, reserving, financial reporting, and competitive analysis for Lyft’s insurance products. The role collaborates with Engineering, Data Science, Operations, Finance, Legal, and Public Policy teams, ensuring accurate and timely actuarial data and insights. Responsibilities include maintaining ETL processes, contributing to modeling and process improvements, researching insurance filings and financial statements, and delivering analysis to support business decisions.

Leads the Developer Environments infrastructure team, guiding technical strategy, delivery, reliability, and developer productivity. Responsibilities include mentoring engineers, hiring, prioritizing technical and resource needs, managing backlogs, setting goals, balancing speed with service-level objectives, and ensuring scalable, highly available infrastructure. The role requires technical planning and design participation, production infrastructure experience, and proficiency in a high-level programming language.

Own the vision, roadmap, and success metrics for Lyft’s base pricing systems. Lead pricing optimization across ride types, regions, and trip intents; improve integration with dynamic pricing; evaluate cost and elasticity models; and support autonomous-vehicle networks. Partner with engineering, data science, analysts, and market teams to define requirements, prioritize work, run experiments, communicate decisions, and influence executives.

Own Lyft’s autonomous vehicle safety management programs across policy, risk management, assurance, and promotion. Responsibilities include authoring safety policies, managing risk registers and corrective actions, tracking safety indicators, supporting incident investigations and audits, operating the Safety Review Board, coordinating partner engagement, and driving safety readiness for launches and integrations across engineering, operations, legal, and EHS teams.

Lead lifecycle marketing strategy and experimentation across email, push, SMS and in-app. Design, prioritize, and analyze experiments, partner with Product/Engineering/Data teams, drive creative and incentive strategy, and own performance reporting to optimize engagement and retention.

Serves as the strategic people partner to Finance leadership, advising executives on organizational design, workforce planning, talent strategy, leadership development, compensation, performance, restructures, and M&A integration. Coaches senior leaders, uses people analytics to guide decisions, and manages sensitive employee relations matters in partnership with Legal and Employee Relations. Supports a complex, international, multi-entity Finance organization.

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.