Senior Group Product Manager, Advertiser Optimization (Ads Marketplace)

Senior Machine Learning Engineer

Seatgeek

SEATGEEK BELIEVES LIVE EVENTS ARE POWERFUL EXPERIENCES THAT UNITE HUMANS. WITH OUR TECHNOLOGICAL SAVVY AND FAN-FIRST ATTITUDE WE’RE SIMPLIFYING AND MODERNIZING THE TICKETING INDUSTRY. SeatGeek is a technology innovator on a mission to disrupt the $300 billion ticketing industry. We have the product, vision, and team to make life better for performers, venues, and fans, and build a generational consumer brand in the process. All we’re missing is you. You will join a group that bridges the gap between research and production-ready ML systems. Your work will directly impact how millions of fans discover and purchase tickets, how we optimize pricing and inventory, how we personalize the SeatGeek experience, and how we prevent fraud across our marketplace. You will design and build ML infrastructure and services that operate at scale, turning complex algorithms into reliable, fast, and maintainable systems that drive business value. WHAT YOU'LL DO * Design, build, and deploy machine learning models and systems that operate reliably at scale in production * Build and maintain ML infrastructure including feature stores, model serving platforms, and real-time inference pipelines * Embed on a product engineering team and collaborate closely with data scientists, PMs ,and Software Engineers to translate research and experimental models into production-ready systems * Solve complex technical challenges unique to the ticketing industry, including real-time pricing optimization, demand forecasting, and fraud detection * Develop automated ML pipelines for training, validation, deployment, and monitoring using MLOps best practices * Work across team and discipline boundaries to evangelize ML capabilities and build them into SeatGeek's core product offerings WHAT YOU HAVE * Experience building and deploying machine learning systems in production environments. We'll be interested in hearing about the systems you've built, the scale you've operated at, and the business impact you've driven * 4+ years of experience in software engineering with at least 2+ years focused on machine learning systems and MLOps * Strong programming skills in Python and experience with ML frameworks like scikit-learn, TensorFlow, PyTorch, or similar * Experience with cloud platforms and containerization technologies * Understanding of both batch and real-time ML systems, including experience with model serving, A/B testing, and performance monitoring * Passion for software craftsmanship and product. You have well-considered opinions about how systems should be built, and hold yourself and your code to a high standard * A product mindset. You think beyond the model accuracy, about user experience, business impact, system reliability, and what makes a great product tick * Commitment to your teammates. You enjoy working with a diverse group of people with different experiences and take pride in mentoring and learning from others OUR STACK You do not need experience with all of these, but we thought you might be curious. What we care about is your experience, skills, and approach to problem solving. Tools can be learned. * Languages + Frameworks: Python + FastAPI, Go, C# + .NET Core  * Datastores: Postgres, MemcachedRedis, Elasticsearch * Cloud: AWS (SageMaker, Redshift, ECS), Airflow for orchestration * Version control: Gitlab * AI Tooling: Cursor, Github Copliot, Claude Code * Observability: Datadog PERKS * Equity stake * Discretionary annual bonus * Flexible work environment, allowing you to work as many days a week in the office as you’d like or 100% remotely * A WFH stipend to support your home office setup * Unlimited PTO * Up to 16 weeks of fully-paid family leave  * 401(k) matching  * Student loan matching program * Health, vision, dental, and life insurance * Up to $25k towards family building, reproductive health services and Gender-affirming care * $500 per year for wellness expenses * Subscriptions to Headspace (meditation), Headspace Care (therapy), and One Medical * $360 per quarter to spend on tickets to live events * Annual subscription to Spotify, Apple Music, or Amazon music   ---------------------------------------------------------------------------------------------------------------------------------- The salary range for this role is $145,000 - $209,000 USD. This role is equity eligible. In addition, you may receive a discretionary annual bonus based on individual and company performance. Actual compensation packages within that range are based on a wide array of factors unique to each candidate, including but not limited to skill set, years and depth of experience, certifications, and specific location. SeatGeek is committed to providing equal employment opportunities to all employees and applicants for employment regardless of race, color, religion, creed, age, national origin or ancestry, ethnicity, sex, sexual orientation, gender identity or expression, disability, military or veteran status, or any other category protected by federal, state, or local law. As an equal opportunities employer, we recognize that diversity is a positive attribute and we welcome the differences and benefits that a diverse culture brings. Come join us! To review our candidate privacy notice, click here. #LI-REMOTE

Senior Software Engineer

Seatgeek

SEATGEEK BELIEVES LIVE EVENTS ARE POWERFUL EXPERIENCES THAT UNITE HUMANS. WITH OUR TECHNOLOGICAL SAVVY AND FAN-FIRST ATTITUDE WE’RE SIMPLIFYING AND MODERNIZING THE TICKETING INDUSTRY. SeatGeek is a technology innovator on a mission to disrupt the $300 billion ticketing industry. We have the product, vision, and team to make life better for performers, venues, and fans, and build a generational consumer brand in the process. All we’re missing is you. We are looking for Software Engineers with varying levels of experience to join SeatGeek’s R&D team. WHAT YOU'LL DO * Run a modern, containerized service-oriented architecture using industry-leading software development practices * Ship code to production many times a day * Solve complex performance problems, build a many-sided marketplace, empower a data-driven business and scale our software to support our booming business * Build performant, beautiful, inclusive user interfaces that delight our users and enhance our brand * Evaluate new technologies and improve our software stack to keep our technological edge * Leverage cutting-edge AI tools to bring ideas to life faster than ever while upholding SeatGeek’s technical and product standards; no token limits * Work across team and discipline boundaries to develop the best product in our industry WHAT YOU HAVE * Experience building business critical software in a fast-paced environment. We'll be interested in hearing about what you've built and how * Experience solving complex technical challenges. SeatGeek engineers create custom solutions to unique ticketing problems, including high traffic onsales, interactive venue maps, inventory tracking, and event matching. We'll be excited to hear about challenging problems you've solved * Passion for software craftsmanship and product. You have well-considered opinions about how software should work, and hold yourself and your code to a high standard * A product mindset. You think beyond the code, about user experience, business impact, and what makes a great product tick * Commitment to your teammates. You enjoy working with a diverse group of people with different experiences and take pride in mentoring and learning from others OUR STACK You do not need experience with any of these, but we thought you might be curious. What we care about is your experience, skills, and approach to problem solving. Tools can be learned. * Languages: Python (FastAPI), Go, C# (.NET Core), React+Typescript, Swift, Kotlin * Infrastructure: AWS, Kubernetes, ArgoCD, Datadog, Gitlab * Datastores: Aurora (Postgres), ElastiCache (Memcached), OpenSearch, DynamoDB * Streaming & workflows: Kafka, Flink, Airflow, Temporal PERKS * Equity stake * Discretionary annual bonus * Flexible work environment, allowing you to work as many days a week in the office as you’d like or 100% remotely * A WFH stipend to support your home office setup * Unlimited PTO * Up to 16 weeks of fully-paid family leave  * 401(k) matching  * Student loan matching program * Health, vision, dental, and life insurance * Up to $25k towards family building, reproductive health services and Gender-affirming care * $500 per year for wellness expenses * Subscriptions to Headspace (meditation), Headspace Care (therapy), and One Medical * $360 per quarter to spend on tickets to live events * Annual subscription to Spotify, Apple Music, or Amazon music   ---------------------------------------------------------------------------------------------------------------------------------- The salary range for this role is $144,000 - $209,000 USD. This role is equity eligible. In addition, you may receive a discretionary annual bonus based on individual and company performance. Actual compensation packages within that range are based on a wide array of factors unique to each candidate, including but not limited to skill set, years and depth of experience, certifications, and specific location. SeatGeek is committed to providing equal employment opportunities to all employees and applicants for employment regardless of race, color, religion, creed, age, national origin or ancestry, ethnicity, sex, sexual orientation, gender identity or expression, disability, military or veteran status, or any other category protected by federal, state, or local law. As an equal opportunities employer, we recognize that diversity is a positive attribute and we welcome the differences and benefits that a diverse culture brings. Come join us! To review our candidate privacy notice, click here. #LI-REMOTE

Senior Staff Data Scientist - Consumer Experimentation

Reddit

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com. Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com. Reddit is poised to rapidly innovate and grow like no other time in its history. This is a unique opportunity to leave your mark on one of the most influential and trafficked corners of the internet.  Consumer data science plays a key role in fulfilling Reddit’s mission of bringing community & belonging to the world through deep understanding of how we can better connect people to the best information and communities for them - the heart of Reddit’s product - from crypto to support groups, gaming to AMAs, travel tips to memes. Reddit's experimentation landscape presents uniquely challenging problems. Our platform is a deeply interconnected network of communities, contributors, and consumers – meaning that standard A/B testing assumptions often break down. We need a senior technical leader who thrives on these hard problems and can raise the bar for causal inference and experimentation rigor across the entire Consumer organization. As a Senior Staff Data Scientist on the Consumer team, you will be the go-to expert on experimentation methodology, owning the most complex and high-stakes experimentation challenges across Consumer. You will shape how Reddit learns from its experiments, ensure we draw valid causal conclusions in the presence of network effects and interference, and influence product strategy through rigorous experimental design and analysis. Responsibilities: * Serve as the technical authority on experimentation methodology across Consumer, setting standards for design, analysis, and interpretation of experiments in a complex, networked environment * Tackle the hardest experimentation problems at Reddit, including spillover and network effects, interference between treatment and control, two-sided experimentation, and long-run effect estimation * Develop and advance methods for causal inference in settings where standard randomization assumptions are violated, such as cluster-randomized designs, switchback experiments, and synthetic control approaches * Design experimentation frameworks and guardrail metrics that account for ecosystem-level effects, ensuring product teams can measure true causal impact rather than biased local estimates * Identify opportunities where improved experimentation methodology can unlock product insights that were previously unmeasurable or ambiguous * Build and scale self-serve experimentation tools, platforms, and best-practice documentation that increase experimentation velocity and literacy across product, engineering, and design teams * Influence the long-term product strategy by driving learning through well-designed experiments and translating experimental results into clear, actionable recommendations for senior leadership * Mentor and elevate other data scientists across the organization on experimentation best practices, causal reasoning, and statistical rigor * Publish and share methodological advances internally and, where appropriate, externally to contribute to the broader experimentation and causal inference community Required Qualifications: * Ph.D. in Statistics, Econometrics, Economics, Computer Science, or a related quantitative field with a strong focus on causal inference or experimentation methodology; or M.S. with equivalent depth of expertise * For M.S. holders: 12+ years of industry experience in applied science, data science, or experimentation-focused roles * For Ph.D. holders: 8+ years of industry experience in applied science, data science, or experimentation-focused roles * Deep expertise in causal inference, including practical experience with challenges such as network interference / spillovers, two-sided experimentation, switchback designs, cluster randomization, and/or synthetic control methods * Strong theoretical grounding in experimental design, including power analysis, variance reduction techniques, sequential testing, and multiple comparison corrections * Experience with experimentation platforms at scale (e.g., building or significantly extending an internal experimentation platform) * Expert knowledge of SQL and proficiency in R and/or Python for statistical computing * Track record of designing and analyzing experiments at scale in complex or networked environments * Demonstrated ability to influence product and organizational strategy through experimentation insights * Demonstrated ability to take ambiguous, technically complex problems and solve them in a structured, hypothesis-driven way * Excellent communication skills with the ability to explain nuanced statistical concepts and tradeoffs to both technical and non-technical senior stakeholders * Experience mentoring data scientists and building organizational capability in experimentation and causal reasoning * Comfortable in innovative and fast-paced environments with a bias toward action Preferred Qualifications: * Published research or industry contributions in areas such as interference in experiments, network experimentation, or marketplace causal inference * Familiarity with Bayesian experimental methods, bandit algorithms, or adaptive experimental designs * Experience with social network or user-generated content platforms where community-level dynamics create non-trivial experimentation challenges   Benefits: * Comprehensive Healthcare Benefits and Income Replacement Programs * 401k with Employer Match * Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support * Family Planning Support * Gender-Affirming Care * Mental Health & Coaching Benefits * Flexible Vacation & Paid Volunteer Time Off * Generous Paid Parental Leave     #LI-REMOTE   Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/. To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $232,500—$325,500 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors. Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.