Software Engineer, Finance Engineering

As the company grows and use cases with our finance data transform, our stack needs to adjust and scale to keep pace with new agentic demands and the increasing complexity of our financial operations. You'll be hands-on building the core systems that ingest settlement and transaction data from across the business, translate it into our general ledger and billing systems, and make handling complex deal structures look easy. If you are passionate about modernizing financial infrastructure, modeling complex revenue flows, and building platforms that provide teams and agents data they can trust, this is your opportunity to transform how we think about money at SeatGeek. What you'll do

• Build and own core services that ingest PSP settlement and transactional data at scale, and translate it accurately into our general ledger and billing systems
• Design and deliver the infrastructure that turns bespoke monetization deal terms into configuration, replacing point solutions with durable, auditable systems
• Rapidly build and iterate tools to boost the quality and speed of interactions with our finance data, working AI-first by default
• Partner with product engineering teams across the business to shape how transactional and settlement data gets modeled and exposed at the source - pushing for the data contracts we need instead of reverse-engineering what's convenient upstream
• Communicate and collaborate with different stakeholders - Finance, Accounting, Data Scientists, Analysts, Data Platform Engineers, and Product - to institute best practices aimed at managing data quality
• Maintain a high standard of accuracy, completeness, and operational excellence across the platform, in a SOX controlled environment
• Create clear definitions and documentation of our data sources and systems, making ownership crystal clear

• 5+ years of software engineering experience, with a track record building and operating production backend systems
• Strong proficiency in Python and SQL, and the core engineering skills to learn new tools and frameworks quickly
• Experience handling and processing transactional or financial data at scale, ideally in a SOX controlled environment
• Experience designing services and data models that are reliable, auditable, and built to last
• Familiarity with the interface between streaming production data and a data warehouse environment
• Comfort operating without a playbook - defining architecture, ways of working, and roadmap as you go
• Ability to break down complex technical concepts and explain them clearly to non-technical stakeholders
• Bonus: knowledge of finance and accounting principles, and experience with payments infrastructure, marketplace payout platforms, or finance systems vendors

Our stack

Experience with every technology listed isn't expected, we've included them for transparency. What matters most to us is your core engineering skills and ability to learn, not deep expertise in any one tool or language.

• Languages: Python (FastAPI)
• Infrastructure: AWS, Kubernetes, ArgoCD, Datadog, Gitlab
• Datastores: Aurora (Postgres), Redshift, dbt
• Streaming & workflows: Kafka, Flink, Airflow, Temporal
• Saas: Workato, NetSuite
• AI Tooling: Claude Code, Codex, LLMs

• Discretionary annual bonus
• Flexible work environment, allowing you to work as many days a week in the office as you'd like or 100% remotely
• A WFH stipend to support your home office setup
• Unlimited PTO
• Up to 16 weeks of fully-paid family leave
• 401(k) matching
• Student loan matching program
• Health, vision, dental, and life insurance
• Up to $25k towards family building, reproductive health services and Gender-affirming care
• $500 per year for wellness expenses
• Subscriptions to Headspace (meditation), Headspace Care (therapy), and One Medical
• $360 per quarter to spend on tickets to live events
• Annual subscription to Spotify, Apple Music, or Amazon music

The salary range for this role is $144,000 - $209,000 USD. This role is equity eligible. In addition, you may receive a discretionary annual bonus based on individual and company performance. Actual compensation packages within that range are based on a wide array of factors unique to each candidate, including but not limited to skill set, years and depth of experience, certifications, and specific location.