Top Tech Jobs & Startup Jobs in NYC, NY

Build and ship full-stack AI visual creation products, including music videos, generative cover art, and animated video covers. Develop preference data pipelines, integrate and evaluate image and video generation models, and create agentic AI director workflows. Collaborate with designers and product managers to shape product scope and improve visual quality.

Build and operate scalable data infrastructure for personalized recommendations and music discovery. Responsibilities include streaming and batch pipelines, feature computation and serving, event logging, workflow orchestration, observability, data quality, and infrastructure as code across AWS and Snowflake. The role owns architecture and reliability, partners with ML, data, and product teams, leads technical design, and mentors engineers.

Lead Suno’s strategic sourcing and procurement function as its first sourcing hire. Develop vendor and technology strategies, negotiate cloud, inference, software, and other non-headcount spend, and build systems for intake, contracts, renewals, risk, usage, and spend visibility. Partner with business teams, Security/IT, Legal, and Finance to optimize costs, manage vendors, and establish scalable sourcing practices in a fast-growing AI company.

Own product marketing for Suno’s emerging 0-to-1 products and features. Define audiences, product strategy, user journeys, messaging, success metrics, and go-to-market plans. Lead launches from beta through public release, partner with Growth on acquisition and activation experiments, and collaborate with Product, Design, UXR, Data, Brand, and Communications. The role requires strong storytelling, analytical skills, cross-functional influence, and comfort operating in ambiguous, fast-paced consumer product environments.

Lead threat intelligence investigations across security, trust and safety, and fraud. Analyze large-scale event and account data with Python and SQL, track threat actors, link campaigns and infrastructure, and translate adversary tactics into detection, product, and architectural defenses. Brief senior leaders, influence engineering and product teams, and establish threat intelligence standards. Focus areas include account takeover, payment fraud, platform abuse, and generative AI misuse.

Lead Suno’s Trust & Safety policy portfolio, including content and behavior standards, machine-enforceable enforcement criteria, generative AI music risks, regulatory requirements, escalation frameworks, and public policy communications. Partner with Product, Engineering, ML, Legal, and Communications to embed policy into product development, calibrate enforcement, measure effectiveness, and address issues involving impersonation, rights abuse, synthetic content, fraud, bots, and identity.

Lead cross-functional technical programs from scoping through rollout, including AI model launches and multi-team engineering initiatives. Build Suno’s TPM function, establish operating principles, coach TPMs, and partner with engineering leadership to improve team velocity and deliver coordinated launches. The role requires strong program management experience, technical and coding fluency, adaptability, and the ability to measure program success in an ambiguous, fast-growing consumer technology environment.

Lead Suno’s privacy engineering and AI governance function, establishing data policies, discovery, classification, permissions, consent, access, correction, deletion, retention, and data-sharing controls. Build enforcement infrastructure across products, platforms, models, agents, analytics, and vendors. Partner with Legal and Product, hire and develop a privacy engineering team, and embed responsible data practices into new models and features.

Lead a full-stack engineering team building Suno’s social features, including notifications, profiles, follow graphs, sharing, and comments. Set technical direction, guide scalable architecture, hire and develop engineers, manage performance, and partner with product, design, and data science. Drive retention-focused product delivery through experimentation, metrics, logging, and post-launch iteration while remaining technically hands-on.

Lead data science for growth monetization, including subscription conversion, churn, pricing, packaging, paywalls, offers, and revenue modeling. Design rigorous experiments, establish metrics and unit economics for new business lines, and serve as the data science lead for a product area. Partner cross-functionally with product, engineering, design, and data science teams to drive revenue growth and build scalable data foundations.