PrizePicks

Backend Engineer

• 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.

Software Engineer III, Ruby on Rails, Marketing Technology

User Researcher

• Establish and execute the quantitative UX research roadmap and data strategy for major product lines, ensuring insights map directly to business priorities, core customer satisfaction (CSAT) indexes, and product goals.
• Independently scope and spearhead advanced, multi-method quantitative research studies (e.g., A/B testing experimentation frameworks, complex on-platform surveys, MaxDiff, profiling, and behavioral modeling).
• Synthesize complex log data and high-volume survey results into actionable insights and strategic storytelling artifacts that inform leadership decisions and de-risk high-stakes product discovery.
• Partner directly with Product Managers, Designers, and Engineers to identify research questions, define critical user journeys, and establish shared understandings early in the product life cycle.
• Innovate within existing quantitative methodologies to improve team efficiency, operational pace, and user experience measurement capabilities.
• Actively mentor junior and mid-level researchers, advocating for evidence-based research rigor across the organization while guiding colleagues on survey design and quantitative fundamentals.
• Support the maintenance of internal insights repositories, democratize data tools across teams, and champion user experience metrics as direct predictors of core business outcomes.

Lead Quantitative UX Researcher

Social Media Manager

• Brainstorm pre-planned and real-time reactionary social content ideas around relevant sports and culture narratives, with an emphasis on the NFL.
• Execute upon approved ideas, creating static graphics, motion graphics, memes, photo manipulations, short-form video edits, templates, and other made-for-social assets.
• Support with select live gametime shifts, working hand-in-hand with the gametime social media team to rapidly ideate and create quick-turn content based on live-game narratives.
• Monitor trends—including trending storylines and social formats—keeping a finger on the pulse of what’s happening in real-time and vetting if PrizePicks should jump into the conversation, where, and how.
• Monitor content performance to inform which formats the team should repeat, rethink, and retire.
• Participate in relevant team meetings, including campaign planning sessions, ideation sessions, reporting syncs, and more.

Social Media Content Producer – Contract

Analyst

• Own the topic of retention and revenue analytics through optimizing + tracking segmented reinvestment spend, creating key reports for leadership, and delivering actionable insights
• Inform impact and drive high-level insights via a combination of always-on and periodic high A/B testing
• Develop data collection, data analysis, and business intelligence reporting systems to measure and inform business strategy for the Revenue Operations team
• Monitor metrics and perform detailed analysis, and keep key stakeholders informed on trends and areas of opportunity
• Understand how user trends impact high-level business KPIs to guide decision-making
• Create presentations and written documents with little guidance, and present to both technical and non-technical audiences in an effective way, articulating ideas and opinions clearly and efficiently
• Collaborate with decision-makers on the Revenue Operations team to understand their goals, and proactively identify opportunities to use data to develop new insights, guide strategy, and improve business results

Revenue Analyst – Lifecycle

Business Intelligence Developer

• Build & maintain marketing performance dashboards and reports
• Automate recurring reporting & operational workflows to reduce manual effort and improve accuracy
• Support the management and QA for marketing data pipelines across paid channels
• Monitor day-to-day performance across acquisition channels, surfacing insights to marketing team stakeholders
• Support channel leaders in implementing incrementality tests and strategies
• Conduct deep-dive analyses to support media buying decisions with data-driven insights and recommendations

BI Analyst, Acquisition Marketing

Operations

• Maintain accurate pre-game and in-game player projections for all markets. This includes, but isn’t limited to: NFL, NBA, MLB, NHL, CBB, and CFB.
• Monitor player projections throughout the day and track any key information needed for projections
• Manage risk and monitor projections accordingly utilizing modeling and quantitative analysis
• Understand PrizePicks members' play patterns and adjust internal processes accordingly
• Work with sport owners to implement strategies, best practices, and processes around key markets
• Help set up standard operating procedures around PrizePicks game operations tasks

Game Operations – Trading Analyst

• Lead and organize complex scheduling and resource allocation to maximize team coverage and output.
• Standardize and scale end-to-end workflows to maximize departmental efficiency and output.
• Provide dedicated mentorship and performance management for direct reports focused on goal setting and team development.
• Oversee core pre-match operations, aligning risk mitigation strategies with the Trading and Optimization teams.
• Collaborate with senior leadership to execute market expansion and other Trading Data Platform initiatives.
• Represent Game Operations as a key contributor on high-priority, company-wide projects.
• Serve as the senior point of contact to resolve complex operational issues in time-sensitive environments.

Game Operations Manager

Engineering Manager

• 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.

Technical Recruiter

• Own full-cycle recruiting for roles across Engineering, Data Engineering, Data Science, Data Platform, Analytics, and Product
• Partner closely with hiring managers to develop recruiting strategies, define candidate profiles, and drive efficient hiring processes
• Source and engage passive talent through LinkedIn Recruiter, networking, referrals, and other creative sourcing channels
• Manage candidate experience from initial outreach through offer stage
• Conduct recruiter screens and assess candidates for technical and functional fit, communication skills, and culture alignment
• Build and maintain strong talent pipelines for current and future hiring needs
• Drive hiring process efficiency, interview calibration, and stakeholder communication
• Utilize ATS and recruiting tools to maintain accurate pipeline data and reporting
• Act as a trusted advisor to hiring leaders on market trends, compensation insights, and recruiting best practices

Senior Technical Recruiter – Contract

Customer Success Manager

• Own and lead the end-to-end CRM function, responsible for driving activation, engagement, and retention through targeted, data-driven messaging.
• Define the strategy, execution, and evolution of CRM across key owned channels.
• Lead a high-performing CRM team and partner cross-functionally with Product, Analytics, Creative, Social, and Revenue Operations.
• Oversee planning and execution of CRM campaigns across all owned channels (email, push, SMS, in-app).
• Drive forward real-time messaging capabilities and effectiveness.
• Own the CRM testing roadmap, including A/B and multivariate testing strategies.
• Collaborate with Analytics to define success metrics, measure lift, and identify growth opportunities.
• Build, lead, and develop a high-performing CRM team.

Director, CRM Marketing

Full-stack Engineer

• 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.

Senior Software Engineer, GO

Data Scientist

• Lead a team of data scientists, covering topics across retention and acquisition marketing
• Oversee the development & maintenance of production-grade machine learning models, across topics such as customer lifetime value, customer segmentation, multi-armed bandits, media mix modeling, and attribution
• Manage projects centered around marketing data analysis, including leveraging causal inference frameworks, to assess impact from efforts and drive outcomes
• Integrate LLMs into data & operations workflows, to increase throughput & scale across domains
• Mentor junior team members, enhancing analytical rigor throughout the PrizePicks Analytics Team
• Effectively manage projects, ensuring deadlines and objectives are met, and business impact is made
• Collaborate with senior leadership, to align marketing data science effort with overall company & marketing goals

Senior Data Science Manager, Growth & Retention

Frontend Engineer

• Design and build mobile features: Architect and implement complex features and interaction flows in our React Native app that are performant, accessible, and deliver exceptional user experiences.
• Own technical delivery: Lead the technical design and implementation of complex features end-to-end — from product requirements through deployment and monitoring.
• Drive app performance: Diagnose and resolve performance bottlenecks, optimize rendering, reduce bundle size, and improve the overall responsiveness of the mobile app.
• Define technical direction: Propose and drive architectural decisions for your team’s mobile features, 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 component architecture, testing, accessibility, and mobile 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.

Senior Front End Engineer

• Own pricing and risk strategy for our fantasy markets, balancing competitiveness and profitability.
• Lead and grow a high-performing team of pricing analysts and data scientists.
• Oversee development and deployment of pricing models across major sports and esports (NBA, NFL, CS2, etc).
• Partner cross-functionally with Product, Engineering, and BizOps to launch and optimize pricing initiatives.
• Guide experimentation around payout structures, hold targets, and win rate optimization to drive engagement and margin.
• Maintain and evolve frameworks for pricing accuracy, risk exposure monitoring, and market health.
• Ensure data integrity and modeling quality across all pricing efforts.

Data Science Manager – Sports Pricing

• Own line setting strategy and projection accuracy for our fantasy markets, balancing coverage breadth and competitive line quality.
• Lead and grow a high-performing team of data scientists and analysts focused on market creation and prop origination.
• Oversee development and deployment of projection models and coverage expansion across major sports and esports (NBA, NFL, MLB, CS2, etc.).
• Partner cross-functionally with Product, Engineering, Pricing, and BizOps to launch new markets and expand coverage.
• Guide experimentation around line accuracy, prop selection, and coverage strategy to drive engagement and grow the market catalog.
• Maintain and evolve frameworks for projection accuracy, coverage quality, and market health monitoring.
• Ensure data integrity and modeling quality across all origination efforts.