Lead a team of software and data engineers responsible for core financial systems, integrations, and automation. Own technical vision and architecture for financial reporting, general ledger and billing integrations; ensure accuracy and operational excellence for transactional data processing in a SOX environment. Role includes hands-on delivery, code and architecture reviews, hiring, vendor decisions, and cross-functional collaboration. Technologies mentioned include Python/FastAPI, AWS, Kubernetes, Kafka, Redshift, dbt, Airflow, Temporal, NetSuite and LLM tooling.

SeatGeek is hiring a Senior Data Analyst on the Product Analytics team to lead analyses, experimentation, and opportunity sizing partnering with product, engineering, design, and marketing. Requires 4+ years in analytics, deep SQL fluency, experience with A/B testing and product/retention analysis, and familiarity with tooling such as dbt, Hex, Mixpanel, Redshift, and event tracking.

Lead and grow a team of software and data engineers owning the technical vision for SeatGeek’s core financial systems and automation. Responsibilities include building and iterating finance data pipelines and tools, ensuring accuracy and SOX-compliant transactional processing, defining architecture, performing code and design reviews, and partnering cross-functionally. Requires 5+ years coding experience and 3+ years managing engineering teams. Technologies mentioned include Python/FastAPI, AWS, Kubernetes, Kafka, Postgres/Aurora, Redshift, dbt, Airflow, Flink, Temporal, and various SaaS integrations (NetSuite, Workato).

SeatGeek seeks a Senior Data Analyst on the Product Analytics team to lead analyses from opportunity sizing to experimental design, partner with product/engineering/design/marketing, and improve analytical tooling (dbt, Hex, Mixpanel). Requires 4+ years in analytics, deep SQL fluency, and comfort with Python or R; experience with A/B testing, event tracking, and product/retention analytics. Role is remote (United States) and salary range is $126,000–$188,000 USD per year.

The role begins focused on implementation and onboarding—configuring products, gathering requirements, testing, and supporting go-lives—and transitions to ongoing client services and operational support for ticketing activities. Requires 2+ years of related experience, familiarity with ticketing technology or software configuration, strong communication and problem-solving skills, and occasional travel.

SeatGeek is hiring a Senior Software Engineer, Security to design and implement secure-by-default protections across cloud, CI/CD, applications, and endpoints; build security tooling for prevention, detection, and automated response; contribute to threat modeling, design reviews, and incident response; and help secure AI/LLM integrations. Requires 3+ years' hands-on security experience and proficiency in one or more languages such as Python, Go, or C#. Includes salary range $144,000–$209,000 USD.

The role owns end-to-end organic social channels—strategy, content creation, scheduling, publishing, community engagement, and performance reporting—focused on live events and sports. Requires 4+ years of organic social and content strategy experience, hands-on short-form video production, platform analytics fluency, and cross-functional collaboration.

SeatGeek is hiring a Senior Mobile Engineer (iOS) to join the Fandom team. The role requires 5+ years building iOS apps, strong experience with Swift and SwiftUI, comfort with driving architecture decisions, and familiarity with the team's stack (Swift, Objective-C, UIKit/SwiftUI, Mapbox, Xcode, Fastlane, Mixpanel, Firebase/Crashlytics, Datadog, Eppo). The position is remote and restricted to the United States; compensation range is $144,000–$209,000 per year and is equity eligible.

SeatGeek is hiring a Senior Fullstack Software Engineer to work remotely in the United States. The role focuses on frontend engineering with TypeScript/JavaScript and modern frameworks (React/Next.js) and may include backend work in Python. Responsibilities include leading end-to-end product initiatives, mentoring engineers, improving front-end tech strategy, and optimizing architecture and performance across distributed web systems. The stack and tools mentioned include AWS, Kubernetes, Fastly, Datadog, Mixpanel, and experimentation tooling (Eppo).

SeatGeek is hiring new college graduates (Spring/Summer 2026) for entry-level Software Engineer roles across backend (Python, Go, C#), frontend (TypeScript + React), mobile (Kotlin, Swift), and platform (AWS, Docker). Experience is preferred but not required; the role includes mentoring and hands-on engineering work. The position is based in New York City with an expectation to be onsite at least three days per week. Reported salary range: $110,000–$130,000 USD/year; equity eligible and eligible for discretionary bonus.

SeatGeek is hiring a Lead Software Engineer, Security to lead initiatives across cloud, CI/CD, applications, and endpoints. Responsibilities include building guardrails and tooling, threat modeling and design reviews, detection and incident response, bot/abuse mitigation, and mentoring engineers. The role lists proficiency with languages such as Python, Go, and C#, and references tools including AWS, Kubernetes, Datadog, GitLab, CrowdStrike, and Terraform. Minimum 5 years' relevant experience. Salary range $170,000–$248,000 USD/year.

SeatGeek is hiring a Lead Software Engineer, Security to lead security initiatives including incident response, threat hunting, security engineering, threat modeling, and bot/abuse mitigation. The role involves building scalable security tooling and guardrails across cloud, CI/CD, applications, and endpoints, partnering with product and platform teams, and mentoring engineers. Requires 5+ years of hands-on security experience and proficiency in one or more languages such as Python, Go, or C#.

SeatGeek is hiring a Senior Software Engineer on the Platform team to design, build, and operate shared platform systems and tooling. Responsibilities include improving reliability, observability, security, automation, participating in on-call rotations and incident response, and partnering with product and engineering teams. Tech mentioned: Python, Go, AWS, Kubernetes/EKS, Terraform, Datadog, Kafka, Flink, and Redshift. Salary range stated: $144,000–$209,000 USD per year.

SeatGeek is hiring a Senior Software Engineer for its Cloud Platform team (remote, United States). The role combines software engineering and infrastructure work: improving core compute, IaC, databases, networking, observability, CI/CD and deployment automation to support high-traffic ticketing use cases. Relevant technologies listed include Kubernetes, containers, serverless, Terraform/CloudFormation, AWS, Go/C#/Python, Postgres/Redis, Kafka, DataDog and PagerDuty. Salary range: $144,000 - $209,000 USD per year.

Senior UX Designer (remote — United States). Lead strategy and execution for SeatGeek’s product experience with a focus on behavioral design, systems thinking, storytelling, and improving component/design systems. Responsibilities include understanding fans, sellers, teams, and artists; setting direction and delivering end-to-end design; balancing speed and quality; and driving experimentation and data-informed decisions. Requires 4+ years of experience and at least 4 hours overlap with a 9:30am–5:30pm Eastern workday. Compensation range listed: $130,000–$188,000 USD/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.