Sr. Product Marketing Manager, Programmatic Ad Solutions

Lyft

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 Measurement, Data & Audiences. This is a unique and high-impact role at the intersection of data commercialization, advanced measurement strategy, and go-to-market execution.   As the direct commercial counterpart to our Ad Infrastructure Product Management team , you will translate back-end data signals, in-house attribution models, and reporting tools into compelling, market-facing solutions. You will own the strategy for how Lyft Ads packages and positions its first-party mobility data, validates performance through third-party measurement partners, and delivers trusted ROI clarity to brands and agencies. Additionally, you will lead the identification, evaluation, and commercialization of custom, bespoke data partnerships that unlock strategic value and incremental revenue streams for Lyft Ads.  This role requires a rare blend of technical data literacy, commercial acumen, and operational execution. You will work closely with Product, Data Science, Engineering, Sales, and external partners to define how Lyft Ads goes to market and proves its value in the rapidly evolving commerce media landscape RESPONSIBILITIES: * Data Commercialization & Audience Go-to-Market * Audience Strategy: Own the end-to-end go-to-market strategy for Lyft’s first-party audience data, defining how real-world mobility signals and consumer journeys are packaged into high-value targeting segments. * Value Positioning: Develop compelling narratives, positioning frameworks, and sales enablement tools that clearly articulate the unique value of Lyft’s deterministic identity and location-based data. * Commercial Design: Partner with Product, Data Science, and Finance to define pricing frameworks and packaging structures for audience segments and advanced data targeting features. * Measurement, Attribution & Reporting Strategy * Attribution GTM: Drive the commercial rollout and adoption of in-house conversion modeling, multi-touch attribution, and offline-to-online conversion capabilities built by the Ad Infrastructure team.   * Reporting & Interfaces: Inform the commercial requirements for advertiser-facing reporting systems, ensuring data transparency, ease of campaign management, and frictionless ROI reporting.   * Market Education: Translate complex technical ad tech concepts (e.g., event data generation, signals, data clean rooms) into clear, compelling narratives for sales teams, brands, and top-tier agencies. * Ecosystem & Bespoke Data Partnerships * Strategic Alliances: Identify, evaluate, and lead the development of bespoke data partnerships with high-value external platforms, brands, and ecosystems to create custom, mutually beneficial data-sharing or co-targeting opportunities.   * Commercial Deal Structuring: Partner with leadership, Legal, and Finance to influence commercial negotiations, governance models, and revenue-sharing structures for unique data collaboration agreements.   * Partner Strategy & Accountability: Manage relationships with key third-party measurement providers, verification partners, and data networks ; drive joint business plans, QBRs, and partner prioritization frameworks optimized for audience scale and revenue impact.   * Infrastructure Collaboration: Partner with Ad Infrastructure PMs, AdTech, and Engineering to ensure external partner connections, custom clean room setups, and attribution tools are optimally implemented and scalable. EXPERIENCE: * 10+ years of experience in digital advertising, with meaningful depth in measurement, attribution, ad tech infrastructure, or data-driven commerce/retail media. * Deep Technical & Data Literacy: Strong knowledge of the ad tech data ecosystem, including conversion modeling, third-party measurement integrations (offline/online conversions, viewability), CDPs, and data clean rooms. * Strategic Partnership Experience: Demonstrated experience structuring, negotiating, and growing commercial partnerships with technology vendors, measurement providers, or bespoke data platforms. * GTM Expertise: Experience developing market positioning, packaging, and pricing frameworks for data products, SaaS measurement tools, or complex ad tech solutions. * Cross-Functional Leadership: Exceptional collaboration skills; proven ability to bridge commercial and technical teams, working seamlessly across Sales, Product, Engineering, Data Science, Legal, and Finance. * Analytical Rigor: Strong financial modeling and analytical skills; ability to build data-backed business cases, evaluate ecosystem dynamics, and model complex partner revenue scenarios. * Education: Bachelor’s degree or equivalent experience. * Preferred * Prior experience in a product marketing, business development, or strategic partnerships role directly supporting an Ad Infrastructure, Data, or Measurement product line. * Experience establishing and growing custom or bespoke data monetization programs at a commerce media network, retail media network (RMN), mobility platform, or high-growth digital publisher. * Familiarity with privacy-safe data collaboration methodologies, clean room architectures, and advanced attribution frameworks. * Experience building and managing joint business plans with major agency holding companies and strategic data brokers to drive incremental ad spend. 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.

Airbnb

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. THE COMMUNITY YOU WILL JOIN Social media is an emerging discipline for Airbnb. We're seeking a Senior Social Measurement Lead to build an effective social media measurement strategy for Airbnb's global marketing and comms teams. The job will cover all content published on our owned channels, the social elements of our marketing and comms campaign work, and our influencer and creator programs. The right candidate will know how to identify, structure, and activate the right data — turning raw performance information into something usable, and ultimately into decisions that move the business forward. You will partner closely with social strategy, social creative, Comms, Data Science, and regional marketers to help Airbnb understand the impact of social media on business outcomes, and guide the team at both a day-to-day and at a strategic level on how to grow our channels and improve performance. THE DIFFERENCE YOU WILL MAKE You will define how Airbnb measures social media — from the frameworks and tools we use to the stories we tell about performance. This is a greenfield opportunity to build a best-in-class measurement practice for one of the world's most recognized brands. You will go beyond dashboards. Your work will shape how Airbnb understands the impact of social on business outcomes, how teams make day-to-day creative and strategic decisions, and how leadership evaluates the effectiveness of our global social investment. You will bring rigor, innovation, and a bias for action — leveraging AI, experimentation, and deep platform expertise to keep Airbnb ahead of the curve. A TYPICAL DAY * Define and own Airbnb's social measurement strategy — standardizing frameworks, KPIs, and success criteria across platforms and regions, while accounting for local market nuances * Elevate reporting into strategic storytelling — synthesizing data across channels, programs, and regions into cohesive, E-team-ready narratives that connect social performance to broader marketing goals and company priorities * Lead a global test-and-learn agenda — designing experiments with clear hypotheses and success criteria, running rapid tests to exploit algorithmic dynamics, identify breakout content formats, and unlock outsized reach * Drive insights and optimization — analyzing cross-platform performance to surface growth levers, breakout trends, and content opportunities; translating findings into clear, actionable recommendations for creative and strategy teams * Apply AI to accelerate analytical depth and speed — leveraging AI tools to build custom reporting views, automate workflows, validate hypotheses, and synthesize internal Airbnb data with external social signals * Own the social measurement tool landscape — maintaining expert-level knowledge of platform-native analytics (TikTok, Instagram, YouTube) and third-party tools (e.g., Sprinklr, CreatorIQ, Brandwatch, Tubular); evaluating and onboarding new vendors as the landscape evolves * Partner with Consumer Insights — collaborating with Airbnb's insights team to enrich qualitative and quantitative research with social-native observations; identifying patterns in social conversation that reveal audience shifts, unmet needs, and cultural moments * Be hands-on with data — independently pulling, querying, and analyzing data across platforms, internal tools, and third-party systems; ensuring data quality, consistency, and alignment on taxonomy and reporting standards across teams YOUR EXPERTISE * 15+ years of experience in social analytics, marketing measurement, or digital strategy, ideally at a global consumer brand or platform * Deep expertise in organic social and/or influencer measurement, including platform-native analytics and third-party tools * Strong analytical and technical skills, with experience in data querying, analysis, and dashboarding (e.g., SQL, Excel, BI tools) * Proven ability to translate complex data into clear, compelling narratives for cross-functional teams and executive leadership * Experience leading test-and-learn agendas and applying experimentation frameworks to drive measurable business outcomes * Track record of influencing cross-functional stakeholders and driving alignment in complex, matrixed organizations * Comfortable operating at both strategic and executional levels — from shaping global direction to building datasets * Demonstrated hands-on proficiency with AI tools for analytical work, including using AI to build dashboards, validate hypotheses, process large datasets, and connect social signals to proprietary business data * Deep familiarity with the social measurement tool landscape, including proven ability to model or extrapolate data not directly available through public sources   Your Location: This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from. Our Commitment To Inclusion & Belonging: Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process.  We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application. How We'll Take Care of You: Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.   Pay Range $192,000—$235,000 USD

Pinterest

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here. Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. We are looking for a Data Scientist to join our marketing org. As a Data Scientist you introduce greater scientific rigor into the marketing measurement and optimization processes to shape Pinterest’s revenue growth and marketing strategy. The results of your work will influence and drive strategic decisions for the company - identify investment opportunities for growth, understand revenue growth and behavior, and define metrics to grow and sustain our advertiser base. You will collaborate on a wide array of business problems with a diverse set of cross-functional partners across Marketing, Product, Engineering, Analytics and others.  This role sits within the Marketing team and supports business marketing efforts aimed at driving revenue growth for Pinterest.   What you’ll do: * Analyze advertiser behavior across the end-to-end funnel to  identify factors influencing acquisition, conversion, retention and churn.  * Lead the design, implementation, and continuous improvement of advanced marketing measurement frameworks and statistical models to quantify marketing ROI. Marketing channels could be different paid media, email, in-product, organic social, webinars, elearning platform,in person events etc.  * Build and deploy statistical and machine learning models such as propensity, forecasting, and lifetime value (LTV) models—to optimize marketing strategies and enhance audience targeting. * Develop and refine attribution methodologies to evaluate the effectiveness of marketing initiatives across multiple channels. * Assess the incremental impact of marketing activities using causal inference techniques and testing/experiment frameworks. * Conduct deep, strategic analyses to address key business questions, such as how to improve marketing ROI, how to improve marketing budget allocation to optimize the business impact, measuring the impact of marketing in both mature and new markets, identifying opportunities to increase advertiser growth and revenue through marketing initiatives * Translate complex analytical findings into clear, actionable insights and strategic recommendations for both technical and non-technical stakeholders, including senior leadership. * Design, maintain, and promote dashboards and automated reporting tools to empower stakeholders with self-serve, data-driven decision-making capabilities. Build and optimize ETL data pipelines to automate reporting, support deep dive analysis and feature engineering for analytical models. What we’re looking for: * 6+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems. * Masters degree in a quantitative field such as mathematics, statistics, computer science or engineering. * Excellent communication skills, able to lead initiatives and communicate findings to the leadership and cross-functional teams, especially non-technical audiences. Explains work and thought processes clearly and concisely. * Hands-on experiences with building marketing measurement solutions to quantify the business impact of marketing tactics and investments.  * Strong background in statistics and quantitative analysis, with experience in applying advanced statistical techniques to real-world problems. * Expertise in at least one scripting language (ideally Python/R). Proficiency in SQL/Hive. Ability to write efficient SQL queries. * Strong business and product sense. Strong skills in shaping vague questions into well-defined analyses and success metrics that drive business decisions. * Experience leading key technical projects. * Strong Experimentation background. * Statistical rigor. Experience with causal inference projects.   In-Office Requirement Statement: * We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role. * This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.   Relocation Statement: * This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.   #LI-NM4 #LI-REMOTE At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only $139,764—$287,749 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.   By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.