What you’ll do:

Engineering Manager is responsible for the following for a focused product team:

• Owns the technical aspect of a domain specific area.
• Supervises, coordinates, and reviews work.
• Estimates personnel needs and schedules.
• Assigns and reviews work to meet completion date.
• Evaluate performance, resolve complaints, and make recommendations.
• Defines, plans and measures success metrics.
• Removes technical and personnel hurdles for team to succeed.
• Works with higher-lever staff to set expectations and coordinate on work to be delivered.

What you have:

• 5-8 years of relevant work experience.
• Demonstrated advanced experience with domain area programming language.
• Track record of being an Engineering Manager for product teams to drive the desired result from complex requirement

What makes you stand out:

Candidates should have advanced experience in one of the following technologies:

• JavaScript/TypeScript
  • React
• Ruby
  • Rails
  • Roda
• Golang
  • Echo

Where you’ll live:

While we prefer candidates based in Atlanta, we are open to qualified applicants from anywhere in the U.S. and are willing to consider remote candidates. #LI-Remote

Working at PrizePicks:

The typical salary range for this position is $195,000 to $200,000. At PrizePicks, we consider your role, level, and where you'll be working when determining our salary ranges. The compensation info you see on our job postings gives you an idea of the starting pay range for the position. Your actual pay within that range will depend on your specific work location, as well as your skills, experience, and education. Your 

recruiter will be happy to chat more about the specific pay range for your location and how we arrived at it during the hiring process. 

This application period will remain open for 30 days. We’re committed to finding the best candidate, so this date may be adjusted, and any changes will be reflected in this posting. 

Date Posted: 4/20/26

First Extension: 5/20/26

Second Extension:6/19/26

As a Senior ML Platform Engineer, you will contribute to building the ML platform at Prizepicks to scale and productionize our core machine learning capabilities. Your work will directly impact key metrics like Time-to-Bet, Deposit Velocity, and Platform Integrity by integrating robust, low-latency ML models across our sports betting and daily fantasy ecosystems.

What you’ll do:

• Build Scalable ML Systems: Design and build the end-to-end machine learning infrastructure, setup platform for transitioning experimental Data Science models into robust, high-availability production services.
• Real-Time Inference at Scale: Build automation for deploying low-latency services to serve model inferences in milliseconds. You will power real-time decisions across the platform, from dynamic oddsmaking and risk analysis to smart deposit defaults.
• Feature Engineering & Data Strategy: You will lead the creation and optimization of a centralized feature store required to train complex models across diverse business domains.
• End-to-End MLOps: You will work with the Infrastructure team to build and operate core ML platform components for training and experimentation enablement considering developer experience. You will champion best practices for model deployment, monitoring, and CI/CD for ML. You will implement automated retraining pipelines and observability for ML systems to ensure data drift and model degradation are caught and addressed instantly.

What you have:

• 5+ years of experience in Platform Engineering, with a proven track record of deploying and maintaining a scalable ML platform in high-traffic production environments. 
• 2+ years of experience owning ML systems end-to-end in production, including on-call and incident response.
• Experience with Real-Time Data, proficient in streaming architectures (Kafka/Flink/PubSub) and building low-latency services to serve model inference in <100ms.
• MLOps Expertise, deep experience building a platform for managing the full ML lifecycle (training, deploying, monitoring) using tools like SageMaker, VertexAI, Vector DBs, Graph Databases. Managing and scaling caches like Redis or Elasticsearch.  
• Proficient with Containerization, Docker, Kubernetes, and cluster-level management.
• Expert in Python, proficiency in Go. C++, or Rust is a strong plus for building high-performance inference layers.

What makes you stand out:

• Experience implementing infrastructure while enforcing best practices for the deployment of ML Platform. 
• Background in Daily Fantasy Sports (DFS), oddsmaking, or high-frequency trading.
• Experience building and scaling "Feature Stores" that successfully bridge batch historical data with real-time event streams.
• Enabling self-service for ML and Data Science teams for model development and deployment.
• Enabling AI agents and AI coding for faster and iterative software development.

Where you’ll live:

• While we prefer candidates based in Atlanta, we are open to qualified applicants from anywhere in the U.S. and are willing to consider remote candidates. #LI-Remote 

Working at PrizePicks:

The typical salary range for this position is $160,000 to $210,000. At PrizePicks, we consider your role, level, and where you'll be working when determining our salary ranges. The compensation info you see on our job postings gives you an idea of the starting pay range for the position. Your actual pay within that range will depend on your specific work location, as well as your skills, experience, and education. Your recruiter will be happy to chat more about the specific pay range for your location and how we arrived at it during the hiring process. 

This application period will remain open for 30 days. We’re committed to finding the best candidate, so this date may be adjusted, and any changes will be reflected in this posting.

Date Posted:  4/27/2026

As a Data Platform Engineer, you will contribute to building the modern Data platform at Prizepicks to scale and productionize our core data engineering, data analytics and machine learning capabilities. Your work will directly impact key metrics like Time-to-Bet, Deposit Velocity, and Platform Integrity by integrating robust, low-latency ML models across our sports betting and daily fantasy ecosystems.

What you’ll do:

• Build Scalable Data Platform: Design and build the Data platform for Batch and Streaming use cases. You will build and maintain a platform with cutting-edge technologies and enable data users by building data catalog and data lineage capabilities. You will be contributing to design and enforce robust data security architectures and controls. 
• Real-Time data platform at Scale: Build platform for deploying low-latency services to pipe data for streaming or near real time use cases. You will power real-time decisions across the platform, from dynamic oddsmaking and risk analysis to smart deposit defaults.
• Data Platform Ops: You will champion best practices for model deployment, monitoring, and CI/CD for Data pipeline deployment. You will enable complete observability for batch and streaming data platform and ensure the availability of 99.99%

What you have:

• 3+ years of experience in Platform Engineering, with a proven track record of deploying and maintaining scalable Data platforms in high-traffic production environments. 
• Proficient in streaming architectures (Kafka/Flink/PubSub) and building low-latency services to serve stream ingestion and processing, which will serve model inference in <100ms.
• Proficient with Containerization, Docker, Kubernetes and cluster-level management.
• Deep experience building a platform for managing the full Data lifecycle, including setting up a data exploration environment.  
• Expert in coding with Python and Go. Deep experience with Cloud services, preferred with GCP services (BigQuery, Cloud Functions, GKE) or AWS equivalents.
• Excellent communication skills, stakeholder management and outstanding problem-solving skills.
• Extensive experience in Big data technologies like Spark, Flink, Kafka or Kinesis, Argo/Airflow, Polaris, OpenMetadata, Iceberg, Lakehouse, Redis, Elasticsearch, and Databases. Experience with building REST APIs, package management and have built libraries.
• Should have been a key contributor to projects through the entire development lifecycle from concept to release.

What makes you stand out:

• Experience implementing infrastructure while enforcing best practices for deployment of a large scale data platform. 
• Background in Daily Fantasy Sports (DFS), oddsmaking, or high-frequency trading.
• Experience building and scaling data platforms that successfully bridge batch historical data with real-time event streams.
• Enabling self-service for Data teams for pipeline development and deployment.
• Enabling AI agents for repetitive tasks and AI coding for faster and iterative software development.

Where you’ll live:

• While we prefer candidates based in Atlanta, we are open to qualified applicants from anywhere in the U.S. and are willing to consider remote candidates. #LI-Remote 

Working at PrizePicks:

The typical salary range for this position is $100,000 to $150,000. At PrizePicks, we consider your role, level, and where you'll be working when determining our salary ranges. The compensation info you see on our job postings gives you an idea of the starting pay range for the position. Your actual pay within that range will depend on your specific work location, as well as your skills, experience, and education. Your recruiter will be happy to chat more about the specific pay range for your location and how we arrived at it during the hiring process. 

This application period will remain open for 30 days. We’re committed to finding the best candidate, so this date may be adjusted, and any changes will be reflected in this posting.

Date Posted:  4/23/2026

Overview

At PrizePicks, we are changing the game in daily fantasy sports. We are a passionate team of innovators dedicated to creating a best-in-class experience for our members. Our engineering team builds and scales the platform that powers our explosive growth — from real-time contest engines to the services that handle millions of daily transactions. We are looking for a Senior Software Engineer to join our Checkout & Gameplay team and help us continue to build the future of fantasy sports.

Job Summary

We are seeking an experienced Senior Software Engineer with deep expertise in Ruby on Rails to join our Checkout & Gameplay team. In this role, you will design, build, and own critical Rails-based backend services that power PrizePicks’ core platform, including our checkout, game types, and validation services. You will tackle high-scope, complex technical problems, define the technical path from product idea to production, and mentor engineers across your team and the organization. This is a role for someone who thrives on solving hard backend problems and wants to have a direct impact on a product used by millions.

What You’ll Do

• Design and build backend services: Architect and implement Rails-based services that are performant, scalable, and reliable, supporting high-throughput workloads and complex business logic.
• Own technical delivery: Lead the technical design and implementation of complex features end-to-end — from product requirements through deployment and monitoring.
• Drive system reliability: Diagnose and resolve performance bottlenecks, optimize database queries, and improve the resilience of backend systems under load.
• Define technical direction: Propose and drive architectural decisions for your team’s services, evaluating tradeoffs and communicating recommendations clearly.
• Mentor and elevate: Provide hands-on mentorship to Software Engineers I, II, and III on your team and in the organization through code reviews, pairing, and technical guidance.
• Improve engineering practices: Define, advocate for, and improve best practices around code quality, testing, observability, and deployment for your team.
• Collaborate cross-functionally: Work closely with Product Managers, Designers, QA, and other engineering teams to translate product goals into well-scoped technical solutions.
• Participate in on-call rotation: Share responsibility for production incidents, contributing to root cause analysis and long-term reliability improvements.

What You Have

Experience:

• 5–8 years of professional software engineering experience, with significant time building production Ruby on Rails applications
• Proven track record of owning and delivering complex, multi-component features in a team environment
• Experience designing and operating backend systems that handle significant scale and complexity

Technical Skills:

• Expert-level Ruby on Rails proficiency — you understand the framework deeply, write idiomatic Ruby, and know when to leverage or work around Rails conventions
• Strong proficiency with PostgreSQL, including schema design, query optimization, and performance tuning at scale
• Solid understanding of API design — RESTful services, serialization strategies, and versioning
• Experience with background job processing (Sidekiq or similar) and asynchronous workflows
• Experience with containerization (Docker) and orchestration (Kubernetes)
• Familiarity with CI/CD pipelines and deployment automation
• Understanding of observabilitE-26039y practices — logging, metrics, tracing
• Working knowledge of Go — our backend includes significant Go services, and cross-stack capability is valued at this level

Working Style:

• Comfortable working autonomously with minimal direction on ambiguous problems
• Effective communicator who can articulate technical decisions to both engineers and non-technical stakeholders
• Experience working in a fully remote engineering organization
• Able to context-switch between deep technical work and collaborative planning

What Makes You Stand Out

• Experience leveraging AI-assisted development tools across the development lifecycle — coding, planning, scoping, and code review
• Experience integrating AI tooling into engineering workflows to accelerate team productivity

Where You’ll Live

• This a remote position anywhere in the US is fine. #LI-REMOTE

Working at PrizePicks:

The typical salary range for this position is $170,000 to $185,000 At PrizePicks, we consider your role, level, and where you'll be working when determining our salary ranges. The compensation info you see on our job postings gives you an idea of the starting pay range for the position. Your actual pay within that range will depend on your specific work location, as well as your skills, experience, and education. Your recruiter will be happy to chat more about the specific pay range for your location and how we arrived at it during the hiring process. 

This application period will remain open for 30 days. We’re committed to finding the best candidate, so this date may be adjusted, and any changes will be reflected in this posting. 

Date Posted: March 02, 2026

First Extension: April 2, 2026

Second Extension: May  2, 2026

As a Staff Machine Learning Engineer, you will lead the technical charge to scale and productionize our core machine learning capabilities. Your work will directly impact key metrics like Time-to-Bet, Deposit Velocity, and Platform Integrity by integrating robust, low-latency ML models across our sports betting and daily fantasy ecosystems.

What you’ll do:

• Architect Scalable ML Systems: Design and build the end-to-end machine learning infrastructure, transitioning experimental Data Science models into robust, high-availability production services.
• Real-Time Inference at Scale: Steer the design and deployment of low-latency services to serve model inferences in milliseconds. You will power real-time decisions across the platform, from dynamic oddsmaking and risk analysis to smart deposit defaults.
• Feature Engineering & Data Strategy: Partner with Data Science to build scalable logging and data pipelines. You will lead the creation and optimization of a centralized feature store required to train complex models across diverse business domains.
• End-to-End MLOps Leadership: Champion best practices for model deployment, monitoring, and CI/CD for ML. You will implement automated retraining pipelines and observability tools to ensure data drift and model degradation are caught and addressed instantly.

What you have:

• 7+ years of experience in Machine Learning Engineering or Backend Engineering, with a proven track record of deploying and maintaining complex ML models in high-traffic production environments.
• 3+ years of technical leadership, acting as a lead and driving architecture decisions for consumer applications or scalable backend platforms.
• Experience with Real-Time Data: Proficient in streaming architectures (Kafka/Flink/PubSub) and building low-latency services to serve model inference in <100ms.
• MLOps Expertise: Deep experience managing the full ML lifecycle (training, deploying, monitoring) using tools like MLFlow, Kubeflow, Databricks, or SageMaker.
• Strong Coding Skills: Expert in Python and SQL; proficiency in Go, C++, or Rust is a strong plus for building high-performance inference layers.
• Cloud Native: Deep experience with GCP services (BigQuery, Cloud Functions, GKE, Vertex AI) or AWS equivalents.

What makes you stand out:

• Experience implementing reinforcement learning or complex probabilistic models for dynamic pricing, risk management, or fraud detection.
• Background in Daily Fantasy Sports (DFS), oddsmaking, or high-frequency trading.
• Experience building and scaling "Feature Stores" that successfully bridge batch historical data with real-time event streams.

Where you’ll live:

• While we prefer candidates based in Atlanta, we are open to qualified applicants from anywhere in the U.S. and are willing to consider remote candidates. #LI-Remote 

Working at PrizePicks:

The typical salary range for this position is $220,000 to $280,000. At PrizePicks, we consider your role, level, and where you'll be working when determining our salary ranges. The compensation info you see on our job postings gives you an idea of the starting pay range for the position. Your actual pay within that range will depend on your specific work location, as well as your skills, experience, and education. Your recruiter will be happy to chat more about the specific pay range for your location and how we arrived at it during the hiring process. 

This application period will remain open for 30 days. We’re committed to finding the best candidate, so this date may be adjusted, and any changes will be reflected in this posting.

Date Posted: 4/16/2026

Overview

At PrizePicks, we are changing the game in daily fantasy sports. We are a passionate team of innovators dedicated to creating a best-in-class experience for our members. Our engineering team builds and scales the platform that powers our explosive growth — from our consumer-facing mobile app to the services that handle millions of daily transactions. We are looking for a Senior Software Engineer to join our Overall Game Experience (OGX) team and help us continue to build the future of fantasy sports.

Job Summary

We are seeking an experienced Staff Software Engineer with deep expertise in TypeScript and React Native to join our Overall Game Experience team. In this role, you will design, build, and own critical features within PrizePicks’ React Native mobile application — including developer experience and tooling, deployment pipelines and CI/CD workflows, large-scale refactors, and overall app health and performance. You will tackle high-scope, complex technical problems, define the technical path from product idea to production, and mentor engineers across your team and the organization. This is a role for someone who thrives on crafting exceptional mobile experiences and wants to have a direct impact on a product used by millions.

What You’ll Do

• Own technical direction: Set and evolve the technical standards, architecture, and best practices for your team’s mobile features, ensuring long-term scalability and maintainability of the app.
• Lead the hardest problems: Own the design and delivery of the team’s most complex, highest-scope projects — the ones that require deep technical judgment and cross-system thinking.
• Drive team efficiency: Identify and implement improvements to developer tooling, build pipelines, and development workflows that enable the entire team to iterate faster and ship with more confidence.
• Establish engineering practices: Define and enforce standards for component architecture, testing, accessibility, performance, and mobile deployment across the team.
• Mentor all engineers: Provide mentorship to engineers at every level on the team, shaping technical growth, raising the quality bar, and fostering a culture of continuous improvement.
• Collaborate at the organizational level: Work with Engineering Managers, Product leadership, and other Staff/Principal engineers to align technical strategy with business objectives.
• Own cross-stack integration: Ensure the mobile app integrates effectively with backend services (Go and Rails), driving consistency in API contracts and data flows across the platform.
• Participate in on-call rotation: Own systemic reliability improvements and lead incident response for the most critical production issues.

What You Have

Experience:

• 8–10 years of professional software engineering experience, with deep expertise building production React Native applications at scale
• Proven track record of owning multiple complex technical initiatives and driving them to successful outcomes across a team
• Experience with the full mobile development lifecycle at scale — architecture, build systems, deployment pipelines, and post-release monitoring
• Experience building mobile applications backed by large-scale, high-throughput distributed systems serving millions of users
• History of elevating engineering teams through mentorship, standards-setting, and technical leadership

Technical Skills:

• Mastery-level TypeScript proficiency — you are a reference point for TypeScript best practices, patterns, and type system usage
• Deep React Native expertise — you have solved hard problems around performance, native modules, complex animations, and cross-platform consistency
• Expert experience with Expo and its ecosystem, monorepo tooling (Yarn workspaces), and mobile build/release infrastructure
• Strong understanding of mobile testing strategies at scale — Jest, Maestro for E2E testing, and quality automation
• Proficiency with CI/CD for mobile and Expo/EAS workflows — automated builds, OTA updates, staged rollouts, app store pipelines
• Understanding of backend API patterns — you can read, reason about, and influence API design across Go and Rails services

Working Style:

• Operates with full autonomy — you define your own work and the work of the team based on what matters most
• Exceptional communicator who can represent technical strategy to engineering leadership and non-technical stakeholders
• Experienced in fully remote engineering organizations
• Comfortable making high-stakes technical decisions with incomplete information

What Makes You Stand Out

• Experience leveraging AI-assisted development tools across the full development lifecycle — coding, planning, scoping, and code review
• Vision for how AI tooling and agentic coding practices can accelerate team productivity and improve engineering outcomes

Where You’ll Live

While we prefer candidates based in Atlanta, we are open to qualified applicants from anywhere in the U.S. and are willing to consider remote candidates. #LI-Remote

Working at PrizePicks:

The typical salary range for this position is $195,000 to $200,000 At PrizePicks, we consider your role, level, and where you'll be working when determining our salary ranges. The compensation info you see on our job postings gives you an idea of the starting pay range for the position. Your actual pay within that range will depend on your specific work location, as well as your skills, experience, and education. Your recruiter will be happy to chat more about the specific pay range for your location and how we arrived at it during the hiring process. 

This application period will remain open for 30 days. We’re committed to finding the best candidate, so this date may be adjusted, and any changes will be reflected in this posting. 

Date Posted: April 28, 2026

First Extension: May 28, 2026

Second Extension: June 27, 2026

What you’ll do:

• Architect and design scalable platform solutions for high transaction web applications, focusing on Event-Driven Service Architecture.
• Develop and implement systems that efficiently integrate with existing infrastructure and third-party services.
• Design, modify, and maintain complex platform systems, ensuring high reliability and scalability.
• Lead the planning and implementation of platform features, considering multiple data sources and output requirements.
• Test, document, and provide operating instructions for all architectural designs and implementations.
• Explore alternative design approaches to determine the best solution, balancing system performance, scalability, and reliability.
• Work independently under general guidance, keeping the team informed of progress and any challenges encountered.
• Adapt and innovate upon proven approaches to solve unique platform architecture challenges.

What you have:

Candidates must have expert experience in the following technologies:

• Golang
• SQL (Postgres)
• Kubernetes and Docker for containerization and orchestration
• Designing, operating, and troubleshooting distributed software systems
• Linux or similar UNIX-like operating systems

What makes you stand out:

• You have experience in any of the following technologies:
  • React
  • Redux
  • Webpack
  • Turborepo or Lerna
  • CSS/SCSS/Styled Components
  • Jest

Where you’ll live:

• This is an on-site position requiring the employee to work full-time from our PrizePicks headquarters in Atlanta. #LI-Onsite

Working at PrizePicks:

The typical salary range for this position is $175,000 to $185,000. At PrizePicks, we consider your role, level, and where you'll be working when determining our salary ranges. The compensation info you see on our job postings gives you an idea of the starting pay range for the position. Your actual pay within that range will depend on your specific work location, as well as your skills, experience, and education. Your 

recruiter will be happy to chat more about the specific pay range for your location and how we arrived at it during the hiring process. 

This application period will remain open for 30 days. We’re committed to finding the best candidate, so this date may be adjusted, and any changes will be reflected in this posting. 

Date Posted:4/14/26

First Extension: 5/14/26

Second Extension:6/13/23

#LI-REMOTE

We are seeking a highly skilled and experienced Senior Site Reliability Engineer to join our team. We are passionate about delivering cutting-edge solutions and pushing the boundaries of what's possible. As a Senior Site Reliability Engineer, you'll play a pivotal role in ensuring the reliability, scalability, and performance of our infrastructure as we continue to scale and expand our operations.

What you’ll do:

• Design, implement, maintain, and monitor reliable production systems at scale.
• Lead incident response, mitigate production issues, and conduct post mortem analysis.
• Proactively monitor performance, analyze system failures, identify bottlenecks , and propose solutions.
• Create and support observability/monitoring tools and vendor integrations.
• Drive the growth of a reliability culture, promoting cross-functional collaboration towards improving system reliability, scalability, resilience, and security.
• Train and mentor other engineers.

What you have:

• 5+ years of experience as a reliability-focused engineer in a fast-paced, rapidly growing, enterprise environment.
• Deep understanding of tooling and application development in these areas:
• Cloud computing such as AWS, Azure, and/or GCP.
• Infrastructure as code tools such as terraform or crossplane.
• Developing applications in languages such as python, ruby, or go.
• Deploying and supporting applications in Kubernetes at scale.
• Implementing monitoring in tools like grafana, new relic, or datadog.
• Experience debugging live, critical production issues.
• Familiarity with reliability principles, such as resilient systems, application and supply chain security, and SLO governance.
• Ability to work cross-functionally with diverse engineering teams.

Where you’ll live:

• While we prefer candidates based in Atlanta, we are open to qualified applicants from anywhere in the U.S. and are willing to consider remote candidates. #LI-Remote

Working at PrizePicks:

The typical salary range for this position is $120,000 to $175,000. At PrizePicks, we consider your role, level, and where you'll be working when determining our salary ranges. The compensation info you see on our job postings gives you an idea of the starting pay range for the position. Your actual pay within that range will depend on your specific work location, as well as your skills, experience, and education. Your 

recruiter will be happy to chat more about the specific pay range for your location and how we arrived at it during the hiring process. 

This application period will remain open for 30 days. We’re committed to finding the best candidate, so this date may be adjusted, and any changes will be reflected in this posting. 

Date Posted: 2/23/26

Reposted: 3/24/26

reposted: 4/24/26