Sr. Measurement Partner

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.

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft Ads is one of the fastest-growing commerce media businesses in the industry, connecting brands to a high-intent, on-the-move audience across Lyft's rider and driver networks. With proprietary first-party data spanning millions of rides and real-world consumer journeys, Lyft Ads offers advertisers a unique combination of targeting, context, and measurement that traditional platforms cannot replicate. We are building the future of mobility media — and we are looking for exceptional talent to help lead that charge. We are seeking a strategic, highly cross-functional leader to join Lyft Ads as our Sr. Product Marketing Manager for Programmatic Ad Solutions. This is a unique and high-impact role at the intersection of programmatic advertising, revenue partnership development, and go-to-market strategy. You will own three interconnected pillars that are core to Lyft Ads' growth: building our programmatic and Audience Extension business, managing key channel and demand partners, and developing the packaging and pricing strategy that powers our sales organization. This role requires a rare blend of strategic thinking, commercial acumen, and operational execution. You will work closely with Product, Data Science, Sales, and external partners to define how Lyft Ads goes to market — both on-platform and off — and to ensure we are positioned to win against competitors in the rapidly evolving commerce media landscape. RESPONSIBILITIES: * Programmatic Strategy & Audience Extension Go-to-Market * Own the end-to-end strategy and go-to-market for Lyft Ads' programmatic business, with a primary focus on Audience Extension solutions that extend Lyft's first-party data and targeting capabilities beyond the app. * Develop compelling narratives, positioning frameworks, and packaging structures that clearly articulate Lyft Ads' programmatic differentiation to agencies, brands, and demand partners. * Define the commercial and product strategy for how Audience Extension is sold, including deal structures, influencing pricing, audience segmentation, and measurement integration. * Partner closely with Product Management and Data Science to ensure programmatic offerings are technically sound, scalable, and competitively differentiated. * Monitor programmatic market trends, competitive dynamics, and evolving buyer behavior to proactively refine strategy and maintain a leading position. * Drive revenue growth through programmatic channels by identifying new demand sources and structuring scalable, repeatable go-to-market motions. * Programmatic Channel & Partner Management * Identify, evaluate, and manage relationships with key programmatic channel and revenue partners including DSPs, SSPs, data clean rooms, ad networks, and measurement providers. * Partner with the leadership team to influence commercial negotiations and deal structuring across the programmatic partner ecosystem — defining how Lyft Ads integrates technically, commercially, and strategically with each partner. * Build a partner prioritization framework that optimizes for revenue impact, technical efficiency, audience scale, and strategic alignment. * Serve as the primary business point of contact for programmatic demand and measurement partners; drive QBRs, joint business plans, and revenue accountability. * Work with Engineering, AdTech, and Product teams to ensure partner connections are optimally implemented and continuously improved. * Evaluate emerging demand sources and new partnership models (e.g., retail media networks, data collaboration platforms) to identify incremental revenue opportunities for Lyft Ads. EXPERIENCE: * 10+ years of experience in digital advertising, with meaningful depth in programmatic, ad tech, or commerce/retail media. * Strong knowledge of the programmatic ecosystem — including DSPs (e.g., DV360, The Trade Desk, Amazon DSP), SSPs, DMPs, CDPs, clean rooms, and measurement partners. * Demonstrated experience structuring and negotiating commercial partnerships with technology and demand-side platforms. * Experience developing go-to-market strategies and pricing frameworks for advertising products. * Exceptional cross-functional collaboration skills; proven ability to work across Sales, Product, Engineering, Data Science, Marketing, and Finance. * Strong analytical and financial modeling skills; ability to build business cases and model revenue scenarios. * Outstanding written and verbal communication skills; capable of translating complex ad tech concepts into clear, compelling narratives for diverse audiences. * Bachelor's degree or equivalent experience. * Preferred * Experience at a commerce media company, mobility platform, retail media network, or high-growth digital publisher. * Familiarity with audience extension products and off-platform programmatic solutions built on first-party data. * Prior experience in a product marketing, strategy, or bizdev role within an ad tech organization. * Understanding of location-based advertising, mobility data, and contextual targeting methodologies. * Experience building and managing joint business plans with major agency holding companies and independent agencies. BENEFITS: * Great medical, dental, and vision insurance options with additional programs available when enrolled * Mental health benefits * Family building benefits * Child care and pet benefits * 401(k) plan with company match to help save for your future * In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off * 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible * Subsidized commuter benefits * Monthly Lyft credits and complimentary Lyft Pink membership Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law. Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid The expected base pay range for this position in the San Francisco area is $143,000 - $178,750, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.