Underdog Fantasy

Recruitment

• Own full-cycle recruiting for Engineering from intake to offer, ensuring an exceptional candidate and stakeholder experience.
• Partner strategically with leaders and hiring managers to understand business goals, workforce planning needs, and hiring priorities.
• Influence and advise org leaders on hiring strategies, pipeline development, and market insights; serve as a thought partner on organizational design and talent planning.
• Identify and execute process improvement initiatives that enhance speed, quality, and scalability of recruiting operations.
• Lead proactive pipeline hiring for critical and high-growth teams, anticipating future needs and building relationships with top talent in advance.
• Drive high-impact hiring initiatives that improve candidate quality, diversity, and time-to-hire metrics.
• Partner cross-functionally with People Ops, HR, and team leads to ensure alignment on hiring priorities and workforce planning.
• Maintain data accuracy and leverage metrics to inform decision-making and continuous improvement.
• Serve as a recruiting culture champion, raising the talent bar across the organization through consistency, collaboration, and thoughtful candidate evaluation.

Staff Talent Acquisition Partner

Infrastructure Engineer

• Design and implement a new real-time data pipeline using Kafka or other queuing technologies, supporting data engineering and ML use cases
• Partner with the data engineering team to stream data directly from core app Postgres databases.
• Begin executing the migration path from Datastream to a queuing-based architecture
• Outline and drive execution steps for eventual cloud migration from GCP to AWS, leveraging cloud-agnostic technologies
• Build scalable load testing frameworks to stress test pricing engineering systems and validate autoscaling logic
• Integrate testing frameworks into deployment pipelines to ensure robustness in every release.
• Collaborate with Pricing Engineering (PE) and Data Engineering (DE) teams to develop a 6–12 month technical roadmap for shared platform initiatives
• Modularize Terraform and other infrastructure-as-code solutions to support both PE and DE teams consistently

Staff Infrastructure Engineer – Data Platform

Growth Marketing

• Partner with Marketing leadership to bring data-driven analysis, financial rigor, and structured thinking to our highest-priority GTM initiatives.
• Lead strategic projects including business planning, new launches, budget &amp; P&amp;L management, competitive intel, and commercial reporting.
• Work closely with Finance and BI teams to integrate financial and operational data into a clear view of business performance.
• Aggregate and synthesize performance across the business, ensuring leadership has a holistic and accurate view of results.
• Maintain and improve our cadence of regular reporting, ensuring stakeholders at all levels have timely insights that drive decision-making.
• Help communicate our commercial strategy and GTM plans within Marketing and to senior leadership to drive cross-functional alignment.

Senior Manager, Growth Analytics

Analytics Engineer

• Define and execute the Analytics Engineering team charter and roadmap, clarifying scope, ownership, and priorities.
• Lead, mentor, and grow a team of Analytics Engineers, fostering a culture of technical excellence and business impact.
• Personally contribute (as a “player-coach”) to high-impact dbt models and pipelines, setting the standard for code quality and best practices.
• Stand up and operationalize a semantic layer (dbt MetricFlow, Omni, or equivalent) as the single source of truth for company metrics.
• Implement engineering rigor in analytics workflows: version control, CI/CD, testing frameworks, and observability.
• Partner with Data Engineering, Analytics, and Data Science to ensure seamless handoffs from ingestion to analysis.
• Deliver early business-critical wins (e.g., Finance-ready revenue model, Marketing attribution pipeline) that demonstrate AE’s impact.
• Build trust and alignment across stakeholders with clear communication, documentation, and recurring forums.

Analytics Engineering Manager

• Build and maintain core dbt data models that turn raw data into clean, trusted, analysis-ready assets (e.g., User 360, Contest Fact, Marketing Attribution).
• Implement and manage a semantic layer (dbt MetricFlow, Omni, or equivalent) to standardize definitions of key metrics across the company.
• Own data quality and reliability, setting up automated testing, monitoring, and alerting frameworks.
• Collaborate with analysts and data scientists across Product, Marketing, Finance, and Ops to understand needs and deliver data models that scale.
• Contribute to self-service analytics enablement by making models discoverable in tools like Omni, Hex, and Sigma, and building user-friendly dashboards and explores.
• Champion software engineering best practices in analytics: Git workflows, code review, CI/CD for dbt, and reusable SQL patterns.
• Document business logic and metric definitions in a central data catalog, ensuring clarity and consistency.

Senior Analytics Engineer

Operations

• Lead and develop a small, dynamic team of Fraud Associates dedicated to investigating suspicious activity and protecting Underdog’s platform and players from fraud.
• Use a blend of internal and third-party tools, reports, and analytics to detect fraud trends, and help create industry-leading experiences while maintaining security.
• Work closely with the FraudOps Manager to set and achieve performance goals and KPIs that drive team success.
• Partner with various internal teams (Product, Engineering, Compliance, Responsible Gaming) to implement fraud prevention strategies and improvements.
• Oversee team performance, provide mentorship, feedback, and regular check-ins to ensure individual and team growth.
• Play a critical role in building new fraud detection and prevention methods, ensuring compliance with regulations like KYC and Anti-Money Laundering.

Fraud Operations Team Lead – Night Shift

Product Designer

• You'll design our onboarding, account management, deposit and withdrawal experiences.
• Your work will be instrumental in designing intuitive, engaging journeys that help new users get started with ease and unlock the full value of our Fantasy and Sports Betting products.
• As a Senior Product Designer, you will be responsible for leading and designing the next generation of Underdog products.
• You'll utilize design-thinking, product strategy, and brand to create exceptional experiences and features across the Fantasy and/or Sports Betting products
• Lead current product design solutions while identifying future optimizations and enhancements
• Collaborate with designers and cross-functional team leaders, including engineers, product managers, and company stakeholders, to develop and execute product solutions that meet business needs and customer requirements
• Create artifacts to champion product solutions at each stage of the design lifecycle: sketches, usability studies, wireframes, prototypes, presentations, documentation
• Collaborate and contribute to a world-class design team through knowledge shares, critiques and workshops

Senior Product Designer, Player Accounts

General Counsel

• Lead and manage a diverse docket of litigation, arbitration, and regulatory matters across multiple jurisdictions.
• Oversee outside counsel relationships, including staffing, strategy, budgets, and discovery.
• Partner closely with Compliance, Government Affairs, and internal teams to assess and mitigate exposure as well as litigation and regulatory risks.
• Resolve disputes efficiently and cost-effectively while protecting Underdog’s reputation.
• Establish repeatable processes and operational efficiencies across the litigation function.
• Respond to subpoenas, regulatory inquiries, and other third-party requests.
• Anticipate emerging legal risks and prepare the company for evolving challenges.

Litigation Counsel

Software Engineer

• Set the vision, strategy, and execution plan for all engineering domains (product engineering, data engineering, ML, security, infrastructure, IT), aligned with business goals
• Build, mentor, and grow high-performing engineering leaders and teams (managers, tech leads, ICs) across ~150+ engineers
• Drive performance management: ensure consistent feedback, coaching, goal setting, and development plans
• Establish clear metrics and accountability for engineering health (e.g. uptime, latency, MTTR, deployment frequency, error budgets)
• Oversee the technical architecture, platform roadmap, and infrastructure investments to scale the product and data stack
• Maintain strong collaboration with Product and Design: co-own planning, prioritization, tradeoffs, and delivery
• Own security, compliance, governance, and data privacy at the enterprise level
• Elevate operational excellence by helping strengthen CI/CD, observability, incident response, and technical debt reduction to improve productivity and reliability
• Manage budgets, resource allocations, vendor & tooling decisions
• Modernize engineering practices by driving adoption of AI-assisted development, automation, and continuous improvement in delivery pipelines
• Champion cultural and organizational shifts needed to scale engineering velocity and quality
• Represent engineering externally in engagements with regulators, industry groups, and key strategic partners
• Act as a culture carrier: embed Underdog values (ambition, urgency, ownership, teamwork) in how engineering operates

SVP, Engineering

• As a Senior Product Designer, you will be responsible for leading and designing the next generation of Underdog products. You'll utilize design-thinking, product strategy, and brand to create exceptional experiences and features across the Fantasy and/or Sports Betting products
• Lead current product design solutions while identifying future optimizations and enhancements
• Collaborate with cross-functional team leaders, including engineers, product managers, and company stakeholders, to develop and execute product solutions that meet business needs and customer requirements
• Create artifacts to champion product solutions at each stage of the design lifecycle: sketches, usability studies, wireframes, prototypes, presentations, documentation
• Collaborate and contribute to a world-class design team through knowledge shares, critiques and workshops

Senior Product Designer, Wager Experiences

Data Engineer

• Develop data pipelines and maintain production quality datasets that support Underdog’s analytics, data science, and marketing teams
• Design, build, and optimize scalable data platform infrastructure to support batch and real-time data processing and storage in the cloud
• Collaborate with analytics, data scientists, engineers, and other business stakeholders to understand data requirements and translate them into scalable technical solutions
• Implement and maintain monitoring, alerting, and logging mechanisms to ensure the health and performance of the pipelines and platforms
• Perform validation and build data quality checks on production datasets and ensure there are minimal data quality issues
• Communicate continuously about progress, blockers, and resolution steps to all relevant stakeholders
• Blend hands-on pipeline development with shaping the future of Underdog’s evolving data platform

Customer Support

• Approach user inquiries with a cool, open-minded approach and make sure that their concerns are being fully heard
• Gather information from users in order to efficiently reach solutions by cross-collaborating with teams from several different departments
• Create a lasting impression on every user through transparent, open, and honest communication
• Assist with Tier 1 level customer inquiries ranging from account creation to gameplay explanations
• Show up everyday with a positive attitude and excited to help the team collectively reach its goals
• Deliver exceptional customer support via live chat, addressing inquiries related to account management and financial transactions
• Offer comprehensive technical assistance to both Web and Mobile app users
• Assist in facilitating a smooth and seamless onboarding experience for users, ensuring their successful adoption of the app

Customer Support Associate, Seasonal

Engineering Manager

• Roadmapping and technically architecting a scalable data and machine learning platform
• Establish best practices that achieve operational excellence in data availability, data quality, and data observability
• Collaborate with the data science, data analytics, and product teams to deliver high-impact data assets in a fast paced environment
• Manage relevant cloud infrastructure for hosting big data applications and ML workloads such as SageMaker, Kubeflow, or Vertex AI
• Design and implement data pipelines that are optimized for scale and data quality
• Lead, mentor, and scale the data engineering team, cultivating a culture of innovation, learning, and excellence
• Partner with product, engineering, and analytics teams to understand their data needs and translate their business requirements to scalable technical solutions
• Stay on top of industry trends, emerging technologies, and best practices for data processing, storage, compute and ML development
• Develop and maintain robust governance frameworks, ensuring processes for monitoring, documentation, and testing are in place to safeguard the integrity and availability of data

Engineering Manager, Data & ML

• Lead engineering to redefine the game: manage and inspire a team of cross-functional engineers focused on delivering innovative experiences that captivate fantasy sports and betting enthusiasts; guide your team in tackling complex technical challenges while fostering professional growth.
• Design the future of sports entertainment: shape the development of a cutting-edge platform that provides seamless, engaging, and scalable experiences for millions of sports fans globally.
• Deliver best-in-class features and performance: prioritize, execute, and oversee initiatives that drive gameplay innovation, optimize user engagement, and ensure platform reliability at scale.
• Build a winning engineering culture: cultivate a collaborative, innovative environment that thrives on technical excellence, creativity, and shared passion for delivering impactful products.
• Champion development best practices: advocate for and implement engineering best practices, ensuring the team aligns with industry standards and maintains a high-quality codebase.
• Collaborate to shape the product vision: partner closely with product managers and engineering leads to define features, plan delivery, and drive the development process from ideation to launch.

Engineering Manager, Product Engineering

Procurement

• Develop and execute sourcing and procurement strategy aligned with overall company goals
• Identify opportunities for cost savings, risk reduction and supplier innovation
• Establish policies and procedures for sustainable and ethical sourcing
• Oversee sourcing processes, vendor negotiations and contract lifecycle management
• Build strong vendor relationships and monitor performance, compliance, and risk
• Monitor approval and payment of vendor invoices, ensuring compliance with contractual terms
• Partner with senior leadership across the company to communicate strategic sourcing and procurement’s value to the business
• Drive adoption of procurement systems, automation and data analytics
• Build, mentor and retain a high-performing team over time

Director, Strategic Sourcing

Controller

• Lead monthly, quarterly and annual close processes and lead in the production of timely and accurate financial statements
• Coordinate external audits and serve as our primary liaison to auditors and regulatory bodies
• Manage payroll and multi-state payroll tax compliance
• Oversee accounting and reporting for diverse equity transactions, including stock-based compensation
• Lead federal, state, and local tax compliance, including returns, provisions, and 1099/W-2G reporting
• Partner with Compliance on regulatory filings, license applications, and reporting to state and federal agencies
• Deliver variance analysis and actionable commentary to executive leadership
• Drive long and short-term systems planning in support of company objectives
• Develop our vision for the Accounting team while creating a culture of continuous improvement
• Partner with FP&A, Legal, HR and Operations on strategic initiatives while helping us to stay agile and execution-focused in a fast-paced environment

Director

• Set the vision, build the roadmap, and lead execution for IT infrastructure, enterprise applications, and internal systems — ensuring performance, scalability, and security
• Oversee corporate network infrastructure, end-user computing, service desk, and endpoint security
• Manage identity and access management platforms (Okta, AD) and endpoint management tools (Kandji, JumpCloud)
• Lead ERP, HRIS (Workday), CRM, and other core business applications
• Ensure systems are well-integrated, reliable, and aligned with business needs
• Partner with Finance, People, Security, and other teams to optimize workflows and reporting
• Drive high availability, incident response, and disaster recovery readiness in the Enterprise environment
• Partner with Security on compliance, risk management, and data privacy requirements
• Manage technology vendor relationships, contracts, renewals, and SLAs
• Evaluate new solutions and negotiate for cost efficiency and innovation
• Implement IT governance, ITSM best practices, and scalable support workflows
• Establish and monitor KPIs for service delivery and system performance
• Hire, coach, and develop IT and enterprise applications staff
• Foster a culture of agility, service excellence, and continuous improvement

Director, IT

Machine Learning Engineer

• Partner closely with the Data Science team to build out foundational Machine Learning platform
• Build internal tools and services to accelerate model building and deployment
• Build frameworks to measure and analyze model performance and accuracy in production
• Lead technical initiatives and code reviews; evangelize best practices
• Stay current on emerging ML technologies and implement iteratively into engineering systems

Senior Machine Learning Engineer

• Partner with product teams to explore and define new ways to reward fans for their play, including both promotions and non-monetary rewards.
• Enhance the current experience by optimizing existing promotions and designing innovative new promotions and reward systems.
• Define and deliver design solutions through wireframes, prototypes, and high-fidelity visuals that balance user needs with business objectives.
• Participate in user research and data analysis, turning insights into actionable design improvements.
• Work within and contribute to Underdog’s design system, refining patterns while knowing when to push boundaries for innovation.
• Maintain a high standard of usability and accessibility to ensure our products are inclusive and user-friendly.
• Collaborate with promo ops and marketing teams to ensure visual and brand consistency across external marketing channels and in-product experiences.

Senior Product Designer, Promotions

Backend Engineer

• Build the backbone of Underdog’s data ecosystem — design and deploy internal APIs and workflows that power seamless communication across our services.
• Create robust, scalable microservices to serve real-time, high-volume data needs for our internal teams, enabling faster decision-making and better fan experiences.
• Own greenfield projects that shape the future of our business—architecting backend systems built for scale, resilience, and speed.
• Partner cross-functionally with engineers, product owners, and data scientists to turn complex challenges into elegant, scalable solutions.
• Safeguard system reliability by building smart monitoring, alerting, and logging tools that keep our infrastructure healthy and performant.
• Drive impactful technical initiatives from start to finish in a fast-moving, high-stakes environment where your leadership makes a real difference.
• Champion engineering excellence by leading code reviews, sharing best practices, and helping level up the team through mentorship and feedback.