Individual contributor on the Analytics team partnering with Supply, Product, Engineering, Client Success, and Entertainment teams to analyze supply dynamics, guide seller policy, build measurement frameworks, run exploratory and root-cause analyses, and deliver reports/datasets using SQL and tools such as Redshift, dbt, Looker, and Hex. Salary range $108,000–$157,000 USD.

SeatGeek is hiring a Lead Product Manager to define vision, strategy and metrics for how fans get from marketing channels through landing and checkout, and to lead cross-cutting features (price display, credits, notifications, saved events, trust signals). The role requires 8+ years in consumer e-commerce/marketplaces or travel, strong experimentation and analytics skills, experience with paid marketing/SEO/AI-driven discovery, and will be remote in the United States.

Responsible for day-to-day management of touring shows from booking through post-event, coordinating cross-functional execution, ensuring onsale readiness, maintaining pipeline visibility and performance reporting, supporting promoters and venues, and providing operational insights to drive revenue and strategic decisions. Requires 4+ years in live entertainment, ticketing, touring, venue operations, or event management.

Senior owner of a subset of SeatGeekIQ's largest partnerships: set and execute pricing strategy across the event lifecycle, manage inventory distribution and commercial relationship health (renewals, escalations, partner leadership engagement), mentor junior traders, convert one-off analyses into repeatable tools, and lead pilots for automation/AI solutions. Requires 5+ years in ticket pricing/revenue management/trading, deep sports and live entertainment demand knowledge. Salary range listed: $112,000–$162,000 USD/year.

SeatGeek is hiring new college graduates (spring/summer 2027) for junior software engineering roles across backend, frontend web, mobile, platform, and machine learning. Responsibilities include building cloud-backed services and user interfaces, leveraging AI tools, running experiments, and scaling software for a multi-sided ticketing marketplace. Candidates should be graduating in 2027, have experience building software (preferred but not required), and be able to work from the New York City office at least three days per week during the first year.

The Technical Architect partners with Product, Engineering, Solutions Architecture, and client-facing teams to lead discovery and implementation of third-party integrations, maintain knowledge of SeatGeek APIs and access patterns (Ringside, Developer Portal, SDKs, OAuth), support onboarding and provisioning workflows, and produce/maintain technical documentation and operational processes. Requires experience in integrations, API authentication, client-facing work, and technical documentation.

SeatGeek seeks a Senior Paid Media Associate with 4+ years' experience to lead strategy, campaign management, testing, and measurement across video (linear TV, DRTV, CTV), audio, display, and online video. Responsibilities include partnering with agencies and internal analytics/creative teams, managing campaign setup and delivery, maintaining budgets and invoicing, and applying incrementality and attribution analysis to optimize media investment. Salary range $80,000–$116,000 USD per year.

SeatGeek is hiring a Senior UX Designer to define strategy and deliver end-to-end design across its ticketing platform. The role emphasizes behavioral and systems design, storytelling, experimentation, and improving component/design systems. Requires 4+ years of experience and at least 4 hours overlap with a 9:30am–5:30pm Eastern workday. Position is remote within the United States.

Remote role (United States) owning complex, high-visibility technical and product searches from intake through close, building sourcing strategies and playbooks, advising on compensation and hiring strategy, leveraging recruiting data and AI, and mentoring recruiters. Requires 8+ years of technical recruiting experience.

Director of Engineering responsible for the US Ticketing platform. Responsibilities include setting technical and architectural direction, balancing modernization with client commitments, contributing technically when high-leverage, leading and developing Engineering Managers and Staff+ engineers, and partnering with Product and Design. Role emphasizes AI-assisted/AI-native engineering practices and experience with complex transactional systems (ticketing, commerce, payments, reservations, inventory). Salary range $236,000–$341,000 USD (annual).

SeatGeek is hiring a Senior Software Engineer for the Platform team to improve core compute, infrastructure-as-code, databases, and network infrastructure. Responsibilities include building developer tools for observability, engineering resilient networking across regions, supporting deployments and scalability, participating in on-call, and mentoring others; stack examples include Kubernetes, Docker, AWS, Terraform/CloudFormation, Go/C#/Python, Kafka, and DataDog.

SeatGeek is hiring an analyst to run and optimize paid social and programmatic campaigns (Meta, TikTok, Reddit, Snapchat), manage variable budgets against ROAS targets, run dynamic/catalog-driven campaigns, design experiments and A/B tests, contribute to incrementality and conversion lift studies, and partner with creative, analytics, and engineering teams. The role requires 2+ years of performance advertising experience and familiarity with analytics tools such as Looker or Hex.

SeatGeek is hiring a Senior Software Engineer on the Biz Tech team to design, build, and operate containerized, service-oriented systems and AI-enabled tools and agentic workflows. The role involves shipping production code frequently, integrating systems (including real-time data integrations), evaluating AI tooling, and collaborating across teams. Technologies mentioned include Python (FastAPI), Go, C#, React+TypeScript, AWS, Kubernetes, Kafka, Temporal, and various AI platforms; salary range $144,000–$209,000 USD.

Serve as a strategic client partner for SeatGeek’s sports and entertainment clients: manage a portfolio of accounts, build relationships with senior stakeholders, drive renewals and product adoption, analyze usage and financial data (Looker, Excel, Google Suite), lead business reviews and cross-functional projects, and travel to client events up to ~25–30%. Requires 4+ years in a client-facing role.

Lead and manage a team of backend, frontend and applied AI engineers to define and execute the technical vision for SeatGeek’s core support tools and integrations. Responsibilities include hands-on delivery, architecture and code reviews, vendor selection, collaborating with product and design, recruiting, and providing career development and performance feedback. The role focuses on improving fan outcomes via AI agents, self-service, integrations with order/fulfillment/financial systems, and operational excellence.

SeatGeek seeks a Senior Fullstack Software Engineer (remote, United States) to work with design and product teams, mentor web engineers, and advance front-end architecture and performance. Requires 5+ years of professional frontend engineering experience and strong TypeScript/JavaScript knowledge. Comfortable working full-stack in Python and familiar with web performance, accessibility, monitoring, and distributed systems. Salary range: $144,000–$209,000 USD per year.

SeatGeek is hiring a Senior Software Engineer to build and operate containerized, service-oriented systems (backend and frontend) for a high-traffic ticketing marketplace. The role involves shipping code frequently, solving performance and scaling challenges, and working across teams. Tech mentioned: Python (FastAPI), Go, C#, React+TypeScript, Swift, Kotlin, AWS, Kubernetes, Kafka, Flink, Airflow, Temporal, Postgres/Aurora, ElastiCache, OpenSearch, DynamoDB. Salary range: $144,000–$209,000 USD/year.

Join a team bridging research and production to build ML infrastructure (feature stores, model serving, real-time inference) and deploy models at scale. The role embeds with product engineering teams to translate experimental models into production-ready systems and solve domain problems like pricing optimization, demand forecasting, and fraud detection. Requires strong software engineering and production ML experience.