Top Tech Jobs & Startup Jobs in NYC, NY

Lead complex cross-functional technology projects, ensuring timely delivery through strategic planning, proactive risk management, and effective communication with stakeholders.

The Revenue Enablement Manager develops and enables Go-to-Market teams, enhances training and onboarding, and collaborates cross-functionally to improve customer engagement and revenue growth.

As Director of Product Marketing, lead the go-to-market strategy, drive revenue, refine product messaging, and represent Lob in industry engagements. Collaborate cross-functionally to enhance sales tactics and utilize AI for scaling products and training.

The Staff Software Engineer will lead technical projects, mentor junior engineers, manage system health, and collaborate across teams while writing high-quality code and documentation.

Lead a software engineering team partnering with Product to deliver features from design to production. Hire, coach, and grow engineers; own team performance, service reliability, CI/CD, testing, and on-call operations. Drive technical projects, collaborate with engineering leadership, and ensure high-quality customer-facing products.

As a Senior Staff Machine Learning Engineer at Affirm, you will lead complex ML system design and implementation, mentor engineers, and drive innovative ML strategies for financial services.

Own the Dialer product vision and roadmap to improve reliability, performance, and adoption. Lead cross-functional execution with Engineering, Design, Data, Support, and GTM to ship workflow and platform improvements, measure impact, and increase connect rates, calls completed, and meetings booked.

Own the roadmap and operational health of an audience activation platform. Define requirements, manage taxonomy and segment lifecycles, ensure QA and compliance, syndicate audiences to AdTech partners, monitor performance, and lead cross-functional delivery with Data Engineering, Data Science, Sales, and Partnerships.

Lead full-cycle enterprise sales with national employer accounts: source, qualify, negotiate, and close complex deals. Build executive relationships, maintain a 3x pipeline, create business cases, and scale repeatable playbooks to exceed quota.

Seeking an Engineering Manager to lead a team, ensuring technical excellence in consumer-facing applications while promoting a strong engineering culture. Requires extensive software engineering experience and people management skills.

Manage end-to-end revenue accounting for a high-volume SaaS environment, ensuring ASC 606 compliance, overseeing AR/billing teams, supporting month-end close and audits, and driving automation and system improvements across NetSuite and connected systems.

The role involves developing business banking client relationships, generating deposits, providing exceptional client service, and managing a personal book of business in a fast-paced team environment.

Lead new business opportunities in venture banking, build key relationships with startups and VC firms, and manage client accounts. Represent the bank at industry events and provide strategic banking advice to clients.

The Market Risk Analyst will monitor SBL lines of credit, assess market risks, manage collateral, develop risk models, and prepare reports.

Lead strategy and execution for major Capital Platform problem spaces, driving multi-quarter cross-functional initiatives. Design scalable, configurable partner integrations, capital execution workflows, and reporting infrastructure. Partner with engineering, finance, and compliance to deliver enterprise-grade, auditable systems that support lenders, investors, and embedded capital solutions.

Lead the ML Data Enablement team to define strategy and execution for accelerating third-party and internal data onboarding, enforce data quality and SLAs, build metadata and lineage standards, and deliver scalable data infrastructure and workflows to reduce time-to-production for ML models.

Build and ship LLM-powered, user-facing ML features and scalable services. Own architecture and implementation for applied ML systems, collaborate with product/research/platform teams, ensure safety/fairness/compliance, and establish best practices for prompts, evaluation, and experimentation.