Software Engineer III (Ruby on Rails) (Marketing Technology)

PrizePicks•Atlanta, GA

17h•Remote

About The Position

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 Social Experience team and help us continue to build the future of fantasy sports.

Requirements

3–5 years of professional software engineering experience, with meaningful time building Ruby on Rails applications
Hands-on experience working with a Customer Data Platform (Rudderstack, Segment, mParticle, or similar) — you understand how event tracking, identity resolution, and audience building work in practice
Experience integrating with marketing automation platforms such as Braze, Iterable, or Klaviyo, including direct API usage (not just clicking buttons in a UI)
History of delivering complex features within a software team to drive business outcomes
Experience breaking down ambiguous requirements — including those coming from non-technical stakeholders like marketers — into concrete technical plans
Exposure to large-scale, high-throughput distributed systems — you understand the challenges of building software that serves millions of users in real time
Advanced proficiency in Ruby on Rails — you understand the framework deeply and write clean, idiomatic, production-quality code
Strong PostgreSQL skills — schema design, query optimization, migrations, and understanding of performance characteristics at scale
Experience designing and building RESTful APIs within Rails
Solid data engineering fundamentals: pipeline design, event schema management, and working with high-volume data flows are areas where you're comfortable
Solid testing practices — RSpec or Minitest, unit, integration, and end-to-end testing strategies
Familiarity with background job processing (Sidekiq or similar)
Familiarity with containerization (Docker) and orchestration (Kubernetes)
Understanding of CI/CD pipelines and deployment workflows
Autonomous — you can take an ambiguous problem and drive it to a well-defined solution
Comfortable providing and receiving direct technical feedback
Strong written communicator, especially important in a fully remote environment
Able to context-switch between deep technical work and collaborative conversations with marketing stakeholders

Nice To Haves

Experience using AI-assisted development tools for coding, planning, and scoping work
Experience with agentic coding tools and AI-augmented development workflows
Prior experience working in a remote engineering organization
Deeper data engineering background — experience with tools like dbt, Spark, Airflow, or building analytical pipelines in a data warehouse environment
Experience building or maintaining a user segmentation or audience management system
Familiarity with identity resolution concepts (device graphs, deterministic vs. probabilistic matching)
Experience supporting experimentation in marketing surfaces (holdout groups, A/B tests, send-time optimization)
Working knowledge of compliance considerations around user data in marketing contexts (CAN-SPAM, TCPA, CCPA)

Responsibilities

Own feature development: Take ownership of features end-to-end - from technical design through delivery - breaking complex projects into well-scoped, deliverable pieces across our martech stack.
Write high-quality code: Produce Ruby code that is idiomatic, performant, well-tested, and raises the bar for the codebase.
Contribute to architecture: Participate in team-level architectural decisions around data modeling, CDP event schemas, service boundaries, API design, and background processing patterns.
Build and maintain martech integrations: Design and own integrations with our Customer Data Platform (CDP) and marketing automation tools like Braze - including event ingestion, audience syncing, and canvas triggering via API.
Improve quality proactively: Identify opportunities to improve data reliability, pipeline performance, and developer experience - and act on them.
Guide junior engineers: Provide technical guidance to Software Engineers I and II through thorough code reviews, pairing sessions, and design feedback.
Collaborate cross-functionally: Work closely with Marketing, Data, and Product teams to translate campaign and personalization requirements into reliable technical implementations. You should be comfortable sitting in a room with a marketer and speaking their language.
Participate in on-call rotation: Take increasing ownership of incident response, contributing to root cause analysis and systemic improvements.
Build team knowledge: Document technical decisions, data models, and integration patterns to strengthen your team's shared understanding.

Benefits

Company-subsidized medical, dental, & vision plans
401(k) plan with company match
Annual bonus
Flexible PTO to encourage a healthy work/life balance (2 weeks STRONGLY encouraged!)
Generous paid leave programs, including 16-week paid parental leave and disability benefits
Workplace flexibility and modern work schedules focused on getting the job done, not hours clocked
Company-wide in-person events and team outings
Lifestyle enhancement program
Company equipment provided (Windows & Mac options)
Annual performance reviews with opportunities for growth and career development