Jobs at Fliff

As a Senior Data Scientist, you will analyze marketing strategies through predictive modeling and data analysis, and measure the impact of marketing investments on player behavior and retention. You'll collaborate with various teams to turn data into strategic insights, drive user acquisition and retention, and continuously improve marketing data usage.

Lead and build Fliff's compliance function across gaming, DFS, social sportsbook, and prediction markets. Own CFTC/FTC strategy, regulatory registrations, policies, AML/KYC/fraud programs, privacy and consumer protection, regulator engagement, and cross-functional compliance enablement for product and commercial teams.

The QA engineer develops and executes exploratory and automated tests, designs test plans, tracks quality metrics, and ensures product quality.

Own design, implementation, deployment, and production support for wallet backend services handling wallets, bets, settlements, deposits and withdrawals. Build scalable, high-performance Python/Django services (including async components), write tests, estimate work, collaborate with cross-functional teams, participate in code reviews and on-call rotations.

Owner of backend Wallet services: design, implement, deploy, and support scalable Python/Django systems for wallets, bets, settlements, deposits/withdrawals. Build high-load, reliable services with async components, testing, monitoring, and participate in estimations, code reviews, and on-call rotations.

Own and deliver backend features using Python and Django; design, build, and maintain integrations with KYC, geolocation, payment, and other third-party APIs; implement observability, monitoring, logging, and alerts; write unit and integration tests; support production incidents and participate in on-call rotations.

Build and maintain Python services to ingest, normalize, validate, and distribute sports data. Integrate third-party providers, build near-real-time and batch pipelines, improve validation/reconciliation/observability, investigate production issues, and collaborate across teams while participating in on-call rotations and contributing to architecture and mentoring.

Build and maintain Python services that ingest, normalize, validate, and distribute real-time and batch sports data. Integrate third-party feeds, improve data quality, monitoring, replay tooling, and observability. Troubleshoot production issues, contribute to architecture and standards, and collaborate across product, trading, QA, and platform teams.

Build and maintain Python services to ingest, normalize, validate, and distribute sports data. Integrate third-party providers, ensure data correctness and observability, operate real-time and batch pipelines, improve monitoring and replay tooling, and collaborate with cross-functional teams while participating in on-call rotations.

Design, build, and maintain Python services to ingest, normalize, validate, and distribute sports data. Integrate third-party providers, build near-real-time and batch pipelines, improve validation/reconciliation/observability, investigate production issues, and collaborate across teams while participating in on-call rotations.

Own, design, implement, and support backend integration features and services using Python and Django. Build and maintain third-party integrations (KYC, payments, geolocation), implement observability, write unit/integration tests, and participate in on-call rotations to ensure reliable production operation.

Build and maintain Python services to ingest, normalize, validate, and distribute sports data. Integrate third-party feeds, develop near-real-time and batch pipelines, improve data validation/replay tooling, ensure observability, troubleshoot production issues, and collaborate across product, trading, QA, and platform teams while participating in on-call rotation and contributing to architecture and mentoring.

Build and maintain Python services for ingesting, normalizing, validating, and distributing sports data. Integrate third-party feeds, design near-real-time and batch pipelines, improve observability and replay tooling, investigate production issues, and collaborate cross-functionally to ensure accurate, timely, resilient data.

Build and maintain Python services that ingest, normalize, validate, and distribute sports data. Integrate third-party feeds, design near real-time and batch pipelines, improve validation/reconciliation/observability, investigate production issues, and collaborate with product, trading, QA, and platform teams. Contribute to architecture, code reviews, standards, and mentor squad members while participating in on-call rotations.

Build and maintain Python services that ingest, normalize, validate, and distribute sports data. Integrate with third-party feeds, implement near real-time and batch pipelines, improve observability, reconciliation, and replay tooling, investigate production issues, and collaborate cross-functionally to ensure timely, correct, and resilient data flows.

Own and deliver backend features for integrations using Python and Django. Design, build, and maintain integrations with KYC, geolocation, payment partners and third-party services. Implement observability (monitoring, logging, alerting), write unit and integration tests, support production incidents, and participate in on-call rotations while collaborating with product and engineering teams.

Build and maintain Python services for ingesting, normalizing, validating, and distributing sports data. Integrate third-party providers, implement near-real-time and batch pipelines, improve data validation/reconciliation/observability, investigate production issues, and collaborate across teams to ensure correct, timely, and resilient data delivery.

Own and build scalable Python/Django backend features and critical integrations (KYC, geolocation, payments). Implement observability, testing, and production support; participate in on-call rotations and collaborate with product and engineering teams.

The Senior ReactJS Engineer will develop and maintain scalable web applications, mentor junior engineers, collaborate across teams, and optimize app performance.

Contract HR Generalist to cover an extended leave and support HR/payroll administration. Manage end-to-end onboarding for US employees and global contractors, maintain HRIS data in Rippling, assist payroll processing and benefits administration, handle employee inquiries and communications, support engagement programs and performance review cycles, and assist with HR projects, audits, and compliance.