Sr. Engineering Manager, Shopping Ads

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. By catering to both fans and rightsholders, we're powering a new, open entertainment ecosystem where fans have effortless access to experiences, and teams, venues, and shows have seamless access to their audiences. Because everyone should expect more from ticketing. We are looking for Product Managers with varying levels of experience to join SeatGeek’s R&D team. This role will own SeatGeek's Catalog — the foundational data layer that defines what exists on our platform. Every event a fan can shop, every seat they can buy, every venue map they navigate, and every attribute that makes a ticket more than a dot on a map starts here. Catalog is the ground truth that everything else — shopping, fulfillment, and eventually attending the event — is built on top of. This is a high-leverage, deeply cross-functional role. When the catalog is accurate, complete, and fresh, fans trust what they see and every downstream experience just works. When it isn't, the cracks show up everywhere. Your mission is to make SeatGeek's understanding of the live event world the most accurate, comprehensive, and richly detailed in the industry — from getting brand-new onsales live the moment they're announced, to modeling complex venues seat-by-seat, to capturing the features and attributes that help fans find exactly the right spot. SeatGeek is where passionate fans and ambitious builders come together to reshape live entertainment, and if you're excited to build the data foundation that powers it all, we'd love to hear from you. WHAT YOU'LL DO * Own the vision and strategy for SeatGeek's Catalog and define how we build the most accurate, complete, and fresh representation of the live event world in the industry * Raise the bar on catalog coverage and freshness: get new events and onsales live faster, close inventory and matching gaps, and reduce the errors and staleness that erode fan trust and downstream conversion * Blend user, data, and domain knowledge to identify where better catalog data can redefine the fan experience (think seat features, views, maps, and enriched event content) and where it unblocks partner and operations workflows * Partner closely with operations and marketplace teams to design tooling and processes that let SeatGeek ingest and maintain catalog data at scale * Partner with analytics to define the metrics that matter for catalog health — coverage, freshness, accuracy, match rate — and build the dashboards and monitoring to hold the platform accountable to them * Advocate for and act as an ambassador to the rest of the company for Catalog, evangelizing work and celebrating wins; collaborate with PMs across the entire shopping funnel and post-purchase experience on dependencies and shared opportunities * Stay ahead of where AI, machine learning, and emerging technology can automate ingestion, improve matching, and enrich our representation of the live event experience * Provide mentorship to junior product team members and contribute to enhancing our product team culture and best practices WHAT YOU HAVE * 5+ years of relevant product management experience with a strong track record shipping impactful products at scale, ideally in marketplace, platform, or data-intensive contexts * Experience owning foundational data, catalog, or platform products where accuracy, completeness, and freshness are core to the value you deliver — and where downstream teams depend on what you build * Comfort operating in complex, ambiguous problem spaces: you can take a messy real-world domain and design systems and processes that make it structured, scalable, and trustworthy * A strong fluency with data: you're equally at home defining quality metrics, diving into analytics, and partnering with analysts to get the insights you need to make decisions from evidence rather than assumption * Experience partnering with operations teams and designing internal tooling or workflows — you understand that great catalog data is as much about process and people as it is about product * Strong customer empathy and a tasteful product eye, even when the "customer" is often an internal operator or a downstream team * Excellent communication and storytelling skills, with proficiency in modern prototyping tools like Claude, Figma Make, Loveable, or similar to communicate ideas effectively to cross-functional partners * Proven ability to lead cross-functional teams toward ambitious goals with urgency and clarity * A demonstrated curiosity in new technologies and how they can solve user problems in new ways * Ideally, experience with products that leverage machine learning or AI to automate data ingestion, entity matching, or content enrichment at scale * Ideally, experience with marketplace or ticketing products, or other domains where a high-quality catalog or knowledge graph is a core competitive advantage * This role requires candidates to be based on the East Coast, with preference given to those in the New York City area OUR STACK You absolutely do not need experience with all of these, but we thought you might be curious. Tools can be learned, so we care much more about your general engineering skill than knowledge of a particular language. * Languages: Python, Go, C#+.NET Core, Swift, Next.js, TypeScript * Client Platforms: iOS, Android, Web (Desktop/Mobile) * Technologies: OAuth2.0 & Identity Management, Payment Tokenization * Event-driven Technologies: RabbitMQ, Kafka * Datastores: Postgres, Redis, Memcache, Elasticsearch * Cloud: AWS * Version control: Git (Gitlab) 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 * Eligible for the SG discretionary annual bonus based on individual and company performance * 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 $116,000 - $220,000 USD. This role is equity eligible. In addition, you may receive a discretionary annual bonus based on individual and company performance. Actual compensation packages 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

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’s Ads Data Science team is looking for a Senior Staff Data Scientist to lead the scientific strategy behind Reddit’s ads measurement and signal systems. This role sits at the center of how Reddit proves advertiser value, improves signal quality, builds privacy-aware measurement systems, and connects ads exposure to real advertiser outcomes. As a Senior Staff Data Scientist for Ads Measurement, you will be the principal architect of our technical vision and the driving force behind the next generation of our measurement ecosystem. In a landscape rapidly shifting due to privacy regulations, browser changes, and evolving platform dynamics, you will spearhead innovation across experimental design (incrementality/lift), identity, signals, and privacy-safe 1P/3P measurement. This is a high-visibility, high-impact role requiring a rare blend of deep experimentation & causal inference expertise, strategic foresight, and the ability to influence cross-functional executives and industry standards. You will not just adapt to the changing ad-tech environment, you will redefine how we measure value. RESPONSIBILITIES * Technical Vision & Strategy: Define the long-term data science vision & strategy across ads measurement, signal quality, identity, attribution, and privacy. Establish how Reddit should evaluate advertiser value, measurement quality, and signal utility across first-party and third-party products. * Set the Cross-Pillar Measurement Science Strategy: Define the long-term data science strategy across ads measurement, signal quality, identity, attribution, and privacy. Establish how Reddit should evaluate advertiser value, measurement quality, and signal utility across first-party and third-party products. * Build Trusted Measurement and Evaluation Frameworks: Create rigorous frameworks for validating lift, attribution, identity quality, modeled conversions, signal loss recovery, and privacy-aware measurement. Define ground truth, objective functions, quality metrics, guardrails, and decision frameworks that guide product and engineering investments. * Advance Experimentation and Causal Inference at Scale: Lead the evolution of Reddit’s experimentation and lift methodologies across Brand Lift, Conversion Lift, Split Testing, and emerging measurement products. Improve study quality, reduce bias and contamination, and develop scalable diagnostics for experiment health, feasibility, and interpretability. Partner with Ads Engineering to operationalize complex causal models, ensuring that scientific methodologies are not only accurate but also performant, scalable, and resilient in high-throughput production environments. * Connect Signals, Identity, and Ranking Outcomes: Quantify how signal quality, match rates, identity resolution, modeled conversions, and privacy changes affect bidding efficiency, CPA, ROAS, and advertiser outcomes. Partner with modeling and ranking teams to translate measurement improvements into performance gains. * Guide Privacy-Aware Ads Measurement: Lead a privacy-first measurement paradigm, positioning Reddit as a market leader in trusted advertising by recovering signal utility through compliant modeling. * Create Durable Data Science Infrastructure and Standards: Lead cross-org efforts to define reusable methodologies, dashboards, scorecards, quality metrics, and best practices. Build repeatable systems that improve how Ads DS evaluates launches, monitors regressions, sizes opportunities, and communicates impact. * Influence Senior Cross-Functional Strategy: Partner with senior leaders across Product, Engineering, Sales, Marketing Science, Legal/Privacy, and Ads leadership to shape roadmap decisions. Translate complex scientific tradeoffs into clear business and product recommendations. * Uplevel the Data Science Organization: Mentor Staff and Senior data scientists, sponsor high-impact technical work, and raise the bar for causal inference, measurement science, identity evaluation, data quality, and cross-functional decision-making across Ads DS. QUALIFICATIONS REQUIRED * Advanced degree in Statistics, Economics, Mathematics, Computer Science, Operations Research, Physics, or a related quantitative field, or equivalent industry experience. * 10+ years of industry experience in data science, applied science, economics, statistics, or a related quantitative role. * Deep expertise in ads measurement, experimentation, causal inference, attribution, marketplace measurement, or ads optimization. * Proven track record leading ambiguous, cross-functional, multi-pillar problem spaces with measurable business impact. * Strong command of statistical modeling, experimental design, causal inference, and measurement methodology. * Experience defining metrics, evaluation frameworks, quality guardrails, and decision systems for complex products. * Demonstrated ability to balance long-term strategic vision with hands-on execution of complex technical ideas. * Advanced proficiency in SQL and Python or R.  * Ability to influence senior product, engineering, and business leaders through clear technical judgment and communication. * Demonstrated ability to mentor senior ICs and improve technical standards across a data science organization. * Demonstrated agility in adopting AI tools to amplify your personal output, turning complex methodologies into working prototypes with modern speed and efficiency. PREFERRED * Experience with ads identity, conversion modeling, signal loss, modeled conversions, match-rate optimization, or identity graph evaluation. * Experience with lift measurement, brand lift, conversion lift, incrementality testing, MMM, MTA, or third-party measurement partnerships. * Experience working on privacy-constrained measurement, clean rooms, aggregation, consent-aware systems, or privacy-preserving modeling. * Experience partnering with ranking, bidding, or machine learning teams to connect measurement quality to optimization outcomes. * Familiarity with two-sided marketplaces, auction systems, performance advertising, or advertiser-facing measurement products. * Experience building durable internal frameworks, training programs, scorecards, or methodology standards adopted across an organization. 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.