Underdog Sports

Lead engineering efforts to redefine the game and mentor a team of software engineers. Shape the development of innovative data platform solutions for millions of sports fans globally. | Candidates should have over 10 years of experience in scalable engineering solutions, with at least 2 years in financial services in a lead capacity. Proficiency in real-time data processing frameworks and public cloud services is essential. | At Underdog, we make sports more fun. Our thesis is simple: build the best products and we’ll build the biggest company in the space, because there’s so much more to be built for sports fans. We’re just over five years in, and we’re one of the fastest-growing sports companies ever, most recently valued at $1.3B. And it’s still the early days. We’ve built and scaled multiple games and products across fantasy sports, sports betting, and prediction markets, all united in one seamless, simple, easy to use, intuitive and fun app. Underdog isn’t for everyone. One of our core values is give a sh*t. The people who win here are the ones who care, push, and perform. If that’s you, come join us. Winning as an Underdog is more fun. About the role and why it’s unique: Lead engineering to redefine the game. Mentor a team of talented software engineers focused on delivering innovative experiences that captivate fantasy sports and betting enthusiasts Design the future of sports entertainment. Shape the development of a cutting-edge data platform solutions that provides seamless, engaging, and scalable experiences for millions of sports fans globally Deliver best in class features and performance. Prioritize, execute, and oversee core initiatives that drive innovation and ensure data 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 data scientists and engineering leads to define features, plan delivery, and drive the development process from ideation to launch Research new technologies. Research and keep up to date on emerging technologies and trends and focus on iteratively implementing them into Underdog’s data platform systems Who you are: 10+ years of experience in delivering highly scalable engineering solutions as a software engineer 2+ years of experience in delivering highly scalable engineering solutions in financial services in a lead IC capacity Experience with real time data processing frameworks such as Kafka, Flink, or Kinesis High proficiency working in public cloud, especially AWS and GCP Deep experience with C++, Go, or Rust Expert in Terraform, CDK, or other Infrastructure as Code (IAC) platforms Excellent leadership and communication skills with an ability to influence and collaborate with stakeholders Excellent communication, analytical, and problem solving skills High level of ownership, bias for action, and a desire to empower individuals on the team to perform at their best Our target starting base salary range for this position is between $180,000 and $230,000, plus target equity. The starting base salary will depend on a number of factors including the candidate’s skills and experience, among other things. What we can offer you: Unlimited PTO (we're extremely flexible with the exception of the first few weeks before & into the NFL season) 16 weeks of fully paid parental leave A $500 home office allowance A connected virtual first culture with a highly engaged distributed workforce 5% 401k match, FSA, company paid health, dental, vision plan options for employees and dependents #LI-REMOTE This position may require sports betting licensure based on certain state regulations. Underdog is an equal opportunity employer and doesn't discriminate on the basis of creed, race, sexual orientation, gender, age, disability status, or any other defining characteristic.

You will develop data pipelines and maintain production quality datasets that support Underdog’s analytics, data science, and marketing teams. This role involves collaborating with various teams to understand their data needs and delivering scalable solutions. | Candidates should have 3+ years of experience building scalable data pipelines in a cloud-native environment and 2+ years of experience using dbt, Flink, or Spark for data transformations. Advanced proficiency in Python and SQL is required, along with some experience in streaming data infrastructure. | We’re Underdog. The fastest-growing sports gaming company, ever. We’re here to make sports more fun. We pair intuitive user experiences with innovative game designs to build the best experience for sports fans in America. Since 2020, we’ve launched four of today’s most widely played fantasy games, and built the Underdog Sportsbook entirely in-house with our own tech. We move fast, act with urgency, and create experiences you won’t find anywhere else. With a $1.3 billion valuation and backing from investors like Spark Capital, SV Angel, Mark Cuban, Kevin Durant, Adam Schefter, and more, we’re just getting started. At Underdog, we play and win as a team. We take chances and are unafraid to attack hard problems. We face challenges with ambition and optimism. We play for the love of the game. We’re Underdog. And winning as an Underdog is just more fun. Join us. As a Data Engineer on the Data Engineering team at Underdog, you’ll focus on building robust data pipelines that empower cross-functional stakeholders including Marketing, Product, Analytics, and Data Science with reliable, actionable data. You’ll work closely with these teams to understand their data needs and deliver scalable solutions that support their top initiatives and priorities. This role blends hands-on pipeline development with shaping the future of Underdog’s evolving data platform. About the role You’ll be developing data pipelines and maintaining 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 Who you are 3+ years of experience building scalable data pipelines in a cloud-native environment (AWS, GCP, or Azure) 2+ years of experience using dbt, Flink, or Spark for data transformations and BI tools such as Sigma or Looker Advanced proficiency with Python and SQL Some experience with streaming data infrastructure such as Apache Kafka, Apache Flink, GCP Datastream or AWS Kinesis Some familiarity with DevOps practices such as CI/CD pipelines, and infrastructure-as-code tools (e.g. Terraform, CDK) Strong ownership mindset; you’re focused on delivering results in a fast-paced, entrepreneurial environment A proactive problem solver who finds and implements opportunities to improve systems and processes Excellent communication skills, with the ability to influence and collaborate effectively across teams Even better if you have Strong interest in sports Prior experience in the sports betting industry Experience working highly regulated industries and familiarity with data privacy and compliance frameworks (e.g. GDPR, CCPA) Knowledge of ML concepts, with some experience in building ML platforms Our target starting base salary range for this position is between $135,000 and $142,000, plus target equity. The starting base salary will depend on a number of factors including the candidate’s skills and experience, among other things. What we can offer you: Unlimited PTO (we're extremely flexible with the exception of the first few weeks before & into the NFL season) 16 weeks of fully paid parental leave A $500 home office allowance A connected virtual first culture with a highly engaged distributed workforce 5% 401k match, FSA, company paid health, dental, vision plan options for employees and dependents #LI-REMOTE This position may require sports betting licensure based on certain state regulations. Underdog is an equal opportunity employer and doesn't discriminate on the basis of creed, race, sexual orientation, gender, age, disability status, or any other defining characteristic.

The Customer Support Associate will assist users with inquiries related to account management and gameplay, ensuring a positive experience through effective communication. They will also provide technical assistance and facilitate onboarding for new users. | Candidates should have flexible availability and a proactive approach to problem-solving. Experience in customer support and knowledge of fantasy sports or sports betting is preferred. | We’re Underdog. The fastest-growing sports gaming company, ever. We’re here to make sports more fun. We pair intuitive user experiences with innovative game designs to build the best experience for sports fans in America. Since 2020, we’ve launched four of today’s most widely played fantasy games, and built the Underdog Sportsbook entirely in-house with our own tech. We move fast, act with urgency, and create experiences you won’t find anywhere else. With a $1.3 billion valuation and backing from investors like Spark Capital, SV Angel, Mark Cuban, Kevin Durant, Adam Schefter, and more, we’re just getting started. At Underdog, we play and win as a team. We take chances and are unafraid to attack hard problems. We face challenges with ambition and optimism. We play for the love of the game. We’re Underdog. And winning as an Underdog is just more fun. Join us. About the role and why it’s unique: 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 Who you are: Flexible weekday & weekend availability due to varying shifts An optimistic and proactive individual, dedicated to finding solutions A versatile team player, adept at navigating diverse situations with ease A clear and concise communicator, with an emphasis on writing skills A receptive individual who embraces new perspectives and approaches An insatiably curious learner, driven to acquire new knowledge daily A customer service expert, delivering exceptional support by showcasing deep product expertise Proficient multitasker, committed to delivering high-quality work across various tasks Even better if you have: Experience with Intercom (or other ticketing processor systems) Fantasy Sports and/or Sports Betting knowledge 1-2 years of customer support or related experience Targeted Start Date: November 3rd Our target starting base salary range for this position is between $18 and $20/hr. The starting base salary will depend on a number of factors including the candidate’s skills and experience, among other things. #LI-REMOTE This position may require sports betting licensure based on certain state regulations. Underdog is an equal opportunity employer and doesn't discriminate on the basis of creed, race, sexual orientation, gender, age, disability status, or any other defining characteristic.

Lead and architect scalable data and machine learning platforms, manage cloud infrastructure, design data pipelines, and lead a data engineering team. | 8+ years in data engineering or ML, 2+ years managing teams, expert Python and SQL skills, Terraform experience, and familiarity with big data and ML tools. | We’re Underdog. The fastest-growing sports gaming company, ever. We’re here to make sports more fun. We pair intuitive user experiences with innovative game designs to build the best experience for sports fans in America. Since 2020, we’ve launched four of today’s most widely played fantasy games, and built the Underdog Sportsbook entirely in-house with our own tech. We move fast, act with urgency, and create experiences you won’t find anywhere else. With a $1.3 billion valuation and backing from investors like Spark Capital, SV Angel, Mark Cuban, Kevin Durant, Adam Schefter, and more, we’re just getting started. At Underdog, we play and win as a team. We take chances and are unafraid to attack hard problems. We face challenges with ambition and optimism. We play for the love of the game. We’re Underdog. And winning as an Underdog is just more fun. Join us. This role offers the opportunity to redesign and scale the backbone of Underdog’s data and machine learning platform, directly shaping how data powers products and decisions across the company. You’ll not only drive technical excellence in areas like data quality, availability, and scalability, but also lead a high-\ performing team in building innovative data systems that support a rapidly growing business. By partnering across product, engineering, and analytics, you’ll have a unique chance to influence both the technology stack and the strategic impact of data at scale. About the role As an Engineering Manager - Data & ML, you’ll be responsible for 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 Who you are At least 8+ years of experience in data engineering, data infrastructure, and/or machine learning roles with experience architecting near real time big data systems 2+ years of experience managing 5+ person teams Highly focused on delivering results for internal and external stakeholders in a fast-paced, entrepreneurial environment Strong familiarity with distributed computing and data storage mechanisms on the cloud environment (e.g. AWS/GCP/Azure) with hands-on experience in managing data infrastructure Track record of delivering scalable and innovative solutions, leveraging cutting-edge technologies for data and machine learning technologies such as Spark, Iceberg, Kafka, and SageMaker Demonstrates strong ownership and thrives in a fast paced environment, consistently driving initiatives forward and delivering results with urgency Excellent leadership and communication skills with ability to influence and collaborate with stakeholders Advanced degree in Computer Science, Data Science, or a related field Expert proficiency with Python and SQL Expert proficiency with Terraform or other Infrastructure as Code (IAC) tools Even better if you have Strong interest in sports and/or sports betting Experience building ML systems like recommendation engines Our target starting base salary range for this position is between $190,000 and $220,000, plus target equity. The starting base salary will depend on a number of factors including the candidate’s skills and experience, among other things. What we can offer you: Unlimited PTO (we're extremely flexible with the exception of the first few weeks before & into the NFL season) 16 weeks of fully paid parental leave A $500 home office allowance A connected virtual first culture with a highly engaged distributed workforce 5% 401k match, FSA, company paid health, dental, vision plan options for employees and dependents #LI-REMOTE This position may require sports betting licensure based on certain state regulations. Underdog is an equal opportunity employer and doesn't discriminate on the basis of creed, race, sexual orientation, gender, age, disability status, or any other defining characteristic.