Top Tech Jobs & Startup Jobs in NYC, NY

Lead design and execution of compensation and incentive programs for assigned business lines. Manage annual compensation review, market surveys, incentive governance, compliance analysis, ad hoc compensation analytics, and strategic compensation projects in partnership with finance, compliance, risk, and HR business partners.

The role involves overseeing project finance credit portfolios, performing credit reviews, ensuring compliance, and leading deal coordination among stakeholders.

The Senior Software Engineer will design, develop, and maintain check processing software, collaborating with teams to ensure high-quality solutions and optimizing existing code.

The Senior Product Designer will lead the design of key aspects of the Bubble editor, focusing on user experience, AI integration, and core functionality, while collaborating with PM and engineering teams to deliver measurable outcomes.

The Sr. Director of Legal supports commercial operations by drafting and negotiating agreements, advising on compliance, and providing strategic guidance in advertising technology.

Lead and execute demand generation and thought leadership programs across owned, paid, and earned channels. Build and optimize campaigns for lead generation and pipeline, support sales readiness and pipeline hygiene, analyze campaign and pipeline performance, and coordinate cross-functional efforts with Sales, Revenue, and Marketing Operations.

Plan and execute marketing events across the lifecycle—strategy, content, speaker prep, on-site execution, budget management, vendor coordination, and post-event analysis to drive engagement, leads, and ROI. Partner with internal teams and external vendors and ensure lead follow-up tracked in SFDC.

Lead and execute demand generation and thought leadership programs across owned, paid, and earned channels. Design and optimize campaigns, support sales readiness and pipeline health, analyze performance, and coordinate with Sales, Revenue, and Marketing Operations to drive awareness, engagement, and pipeline.

As a Data Scientist, you will collaborate with scientists to develop algorithms and software solutions for data analysis and machine learning, while engaging in multidisciplinary teamwork to meet project objectives.

Conduct research on machine learning algorithms, implement and validate these algorithms, collaborate in a multidisciplinary team, and publish findings.

Design and develop electromechanical systems, conduct studies and simulations, collaborate with teams, and ensure product reliability and performance.

As Associate Director, lead client engagements, manage implementation projects, and contribute to business development in NetSuite solutions.

The role involves executing value creation initiatives, improving cash flow and EBITDA, supporting diagnostics, and managing performance improvement efforts with clients and stakeholders.

The Senior Customer Business Executive will manage strategic accounts, foster executive relationships, drive adoption of WalkMe, and ensure customers achieve measurable value from the platform, focusing on renewals and growth within enterprise customers.

Develop end-to-end solutions, design scalable backend and frontend services, improve platform efficiency, monitor system health, and lead complex client-side development.

The Senior Customer Success Manager will drive account growth, manage post-sales journeys, develop relationships, and utilize data to enhance customer engagement and retention.

As a Sales Director, you will engage with clients, manage the sales cycle, and drive adoption of compliance solutions within financial institutions across the US and LATAM.

As a Business Development Representative, you'll engage prospects, manage sales pipelines, and partner with Account Executives to drive revenue growth for Notabene.

The Machine Learning Educator will develop and teach ML programs, mentor teachers, and write code to enhance learning at Jane Street.

The Unified Communications Engineer will manage global voice and video infrastructure, configure Cisco UC products, and integrate cloud conferencing technologies while troubleshooting issues and ensuring system stability.

The Machine Learning Engineer will design, develop, and implement advanced recommendation systems, collaborating with cross-functional teams to enhance personalization for a global audience.