Top Tech Jobs & Startup Jobs in NYC, NY

Manage relationships with Spotify creators in Lifestyle and Wellness, particularly Fitness. Recruit and onboard creators, advise on content and audience growth using performance insights, connect partners with Spotify products and opportunities, and inform creator, content, and product strategy through market feedback and portfolio trends.

Manage podcast advertising approvals, booking workflows, show launches, sales enablement, and cross-functional operations for The Ringer portfolio. Partner with sales, content, talent, and operations teams to track requests, resolve blockers, maintain booking calendars, support ad format rollouts, and identify process or revenue discrepancies.

Leads and develops a multidisciplinary team of machine learning, data, and backend engineers building ML systems for music personalization. Provides technical leadership on modeling strategy, system design, tradeoffs, delivery, and operational health; represents the team with senior cross-functional stakeholders; supports hiring, coaching, AI adoption, and hands-on problem solving.

Lead cross-functional technical programs for large-scale machine learning and personalization initiatives. Manage roadmaps, milestones, dependencies, risks, resources, and delivery of recommendation systems from planning through production. Coordinate ML engineering, data science, product, platform, design, and UX teams; oversee workflows involving experimentation, data infrastructure, model training, and deployment. Provide metrics, dashboards, executive communication, and process improvements while driving alignment through influence.

Supports global revenue accounting and Order-to-Cash operations, including revenue close, journal entries, accruals, deferrals, reconciliations, e-invoicing, billing, accounts receivable, financial controls, SOX compliance, audits, and system enhancements. Partners with Finance, Tax, Engineering, Sales, Legal, and other teams to improve processes, automate workflows, resolve operational issues, and support strategic initiatives.

Build and operate scalable backend services, APIs, Java services, and Scio data pipelines that power music video discovery for Spotify listeners. Collaborate with product managers, engineers, and cross-functional partners on system design, experimentation, reliability, and code quality. The role involves distributed high-volume production systems, data-informed decisions, and improving listener experiences through scalable infrastructure.

Lead and develop a senior-heavy full-stack engineering team building Spotify’s artist promotion campaign management system. Responsibilities include coaching engineers, guiding architecture and technical decisions, partnering with Product and Design, managing dependencies and delivery, contributing hands-on when needed, using AI to improve engineering workflows, and hiring and onboarding team members.

Spotify is seeking student candidates for potential machine learning and artificial intelligence internships. Opportunities may involve recommendation systems, search and ranking, natural language understanding, generative AI, audio analysis, and related personalization technologies. This posting expresses interest rather than representing a specific team or role; Spotify will assess applicants’ backgrounds, interests, and experience to identify suitable opportunities.

Develop novel machine learning methods and architectures for generative conversational speech-to-speech models. Research speech synthesis and recognition, improve model quality and realism, collaborate on data and infrastructure, and help scale proven research into production pipelines and Spotify products.

Conduct original machine learning and AI research focused on foundation models, generative AI, reinforcement learning, and personalization. Develop models, methodologies, and evaluation frameworks; design rigorous experiments; publish findings; collaborate with product teams; shape Spotify’s research agenda; and mentor colleagues.