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Job DescriptionJob Description
Job Title:
Senior Product Manager,
All potential candidates should read through the following details of this job with care before making an application. Location:
Remote, US Department:
Product Management Type:
Full-Time, Non-Exempt Experience:
Senior Salary Range:
$165,000-180,000 / year (+bonus, equity, and benefits) Core Hours:
9 AM - 1 PM PT / 12 PM - 4 PM ET About tvScientific tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business. Role Summary tvScientific is looking for a Senior Product Manager to lead our graph and data partnership strategy. This work is central to how we deliver accurate, privacy-first targeting across Connected TV and digital. You'll own the roadmap for resolution, guide the development of graph-based models that connect users, households, and devices, and expand our network of high-impact data partners. Your work will directly support campaign performance, faster optimization, and more precise measurement. This is a highly cross-functional role that blends technical fluency with strong product leadership. You'll work with Engineering and Data Science to build scalable, real-time services, while partnering with Legal, Security, and external providers to ensure privacy compliance and long-term resilience. You'll define key metrics, write clear product specs, and help internal teams understand and communicate the value of across our platform. What You'll Do Own the product strategy and lead the vision for tvScientific's graph enabling persistent, multi-device recognition across CTV and digital Partner with Data Engineering and Data Science to architect and optimize graph-based data models representing user , household relationships, and device linkages Design APIs and services for real-time resolution, enrichment, and activation in programmatic ad workflows Embed privacy-centric solutions like UID 2.0, RampID, and emerging standards into the graph infrastructure to ensure compliance and scalability Source, evaluate, and onboard third-party and behavioral data providers to improve graph completeness and targeting precision Lead technical integration and operationalization of and graph enrichment partners, managing ingestion, data mapping, and deployment Collaborate with Legal, Security, and Data teams to ensure compliance with CCPA, GDPR, and global privacy regulations Maintain a strategic view of the and data ecosystem to recommend build versus partner strategies that maximize value Write detailed product requirements, data specifications, and user stories to guide Engineering and Infrastructure teams on performant graph storage, traversal, and querying Define and monitor key metrics such as match rates, accuracy, persistence, coverage, and campaign performance impact Support Sales, Marketing, and Customer Success with technical narratives that clarify the value of resolution in CTV targeting Stay up to date on privacy-enhancing technologies, standards, and regulatory changes, representing tvScientific in industry forums and partner discussions How We'll Define Success A scalable, performant graph that enables precise cross-device and household-level targeting. Integration of high-impact data partners that enhance targeting, measurement, and user recognition. Measurable improvements in campaign performance, optimization speed, and attribution accuracy. High internal satisfaction with tools and services, and strong alignment with external partners. Ongoing compliance with privacy and security requirements, without slowing innovation. You'll Be Successful in This Role if You Have 6+ years in product management, solutions engineering, or technical partnerships focused on data-driven products, audience targeting, or martech. Deep experience working with Data Science and Engineering teams to build and launch data infrastructure. Expertise in resolution, segmentation, onboarding, and activation workflows. Proven ability to source, evaluate, and operationalize third-party data partnerships. Strong analytics mindset and comfort working with large datasets that you don't wait for engineering to pull the numbers. Technical fluency across APIs, data pipelines, audience graphs, and privacy frameworks. Excellent communication skills that translate technical ideas into real business value. A solid foundation in AdTech, with bonus points for Connected TV experience You May Also Have Experience with programmatic advertising and digital media buying. Familiarity with ad verification processes and tools. Familiarity with compliance and regulatory considerations in advertising technology. Certification or training in Agile or Scrum methodologies. Experience collaborating with industry partners and building strategic alliances. Proficiency in additional relevant to the advertising technology market. BS/MS in a related discipline. Culture and Benefits At tvScientific we believe people do their best work when they feel challenged and engaged by their day to day responsibilities, when they're surrounded by smart, hard working people, and when they have a healthy work life balance. Our company culture and benefits package reflects these beliefs. Full health, dental, and vision insurance - up to 95% funded by the company for employees. Employee stock option program. Company-sponsored retirement plan with a matching contribution program. 12 annual paid holidays (including 2 flexible days). Generous PTO policy (get your work done and take the time you need). A remote-first environment that allows employees flexibility to work from most places in the US. As tvScientists We Are... Big Thinkers:
We believe in setting audacious goals and envisioning transformative change. Radically Transparent:
We value transparency in all aspects of our business. We foster a culture of open communication, honesty, and accountability. Performance-obsessed:
We are passionate about achieving exceptional results. We strive for excellence in everything we do and set high standards for ourselves. Data-driven:
We embrace the power of data, science, and technology as crucial drivers of our success. Trust Builders:
We prioritize building and nurturing trust with our stakeholders. We understand that trust is the foundation of successful relationships and business partnerships. Through our actions, integrity, and commitment to delivering on promises. Forever Students:
Challenge assumptions to look for solutions. We create a safe environment for experiments and risk-taking by our customers and employees. tvScientific is committed to building an inclusive environment for people of all backgrounds and
everyone
is encouraged to apply. tvScientific is an Equal Opportunity Employer and does not discriminate on the basis of , , , , or expression, , , , protected veteran status, , or any other status protected by applicable , federal, state, or local law.
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Senior Product Manager,
All potential candidates should read through the following details of this job with care before making an application. Location:
Remote, US Department:
Product Management Type:
Full-Time, Non-Exempt Experience:
Senior Salary Range:
$165,000-180,000 / year (+bonus, equity, and benefits) Core Hours:
9 AM - 1 PM PT / 12 PM - 4 PM ET About tvScientific tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business. Role Summary tvScientific is looking for a Senior Product Manager to lead our graph and data partnership strategy. This work is central to how we deliver accurate, privacy-first targeting across Connected TV and digital. You'll own the roadmap for resolution, guide the development of graph-based models that connect users, households, and devices, and expand our network of high-impact data partners. Your work will directly support campaign performance, faster optimization, and more precise measurement. This is a highly cross-functional role that blends technical fluency with strong product leadership. You'll work with Engineering and Data Science to build scalable, real-time services, while partnering with Legal, Security, and external providers to ensure privacy compliance and long-term resilience. You'll define key metrics, write clear product specs, and help internal teams understand and communicate the value of across our platform. What You'll Do Own the product strategy and lead the vision for tvScientific's graph enabling persistent, multi-device recognition across CTV and digital Partner with Data Engineering and Data Science to architect and optimize graph-based data models representing user , household relationships, and device linkages Design APIs and services for real-time resolution, enrichment, and activation in programmatic ad workflows Embed privacy-centric solutions like UID 2.0, RampID, and emerging standards into the graph infrastructure to ensure compliance and scalability Source, evaluate, and onboard third-party and behavioral data providers to improve graph completeness and targeting precision Lead technical integration and operationalization of and graph enrichment partners, managing ingestion, data mapping, and deployment Collaborate with Legal, Security, and Data teams to ensure compliance with CCPA, GDPR, and global privacy regulations Maintain a strategic view of the and data ecosystem to recommend build versus partner strategies that maximize value Write detailed product requirements, data specifications, and user stories to guide Engineering and Infrastructure teams on performant graph storage, traversal, and querying Define and monitor key metrics such as match rates, accuracy, persistence, coverage, and campaign performance impact Support Sales, Marketing, and Customer Success with technical narratives that clarify the value of resolution in CTV targeting Stay up to date on privacy-enhancing technologies, standards, and regulatory changes, representing tvScientific in industry forums and partner discussions How We'll Define Success A scalable, performant graph that enables precise cross-device and household-level targeting. Integration of high-impact data partners that enhance targeting, measurement, and user recognition. Measurable improvements in campaign performance, optimization speed, and attribution accuracy. High internal satisfaction with tools and services, and strong alignment with external partners. Ongoing compliance with privacy and security requirements, without slowing innovation. You'll Be Successful in This Role if You Have 6+ years in product management, solutions engineering, or technical partnerships focused on data-driven products, audience targeting, or martech. Deep experience working with Data Science and Engineering teams to build and launch data infrastructure. Expertise in resolution, segmentation, onboarding, and activation workflows. Proven ability to source, evaluate, and operationalize third-party data partnerships. Strong analytics mindset and comfort working with large datasets that you don't wait for engineering to pull the numbers. Technical fluency across APIs, data pipelines, audience graphs, and privacy frameworks. Excellent communication skills that translate technical ideas into real business value. A solid foundation in AdTech, with bonus points for Connected TV experience You May Also Have Experience with programmatic advertising and digital media buying. Familiarity with ad verification processes and tools. Familiarity with compliance and regulatory considerations in advertising technology. Certification or training in Agile or Scrum methodologies. Experience collaborating with industry partners and building strategic alliances. Proficiency in additional relevant to the advertising technology market. BS/MS in a related discipline. Culture and Benefits At tvScientific we believe people do their best work when they feel challenged and engaged by their day to day responsibilities, when they're surrounded by smart, hard working people, and when they have a healthy work life balance. Our company culture and benefits package reflects these beliefs. Full health, dental, and vision insurance - up to 95% funded by the company for employees. Employee stock option program. Company-sponsored retirement plan with a matching contribution program. 12 annual paid holidays (including 2 flexible days). Generous PTO policy (get your work done and take the time you need). A remote-first environment that allows employees flexibility to work from most places in the US. As tvScientists We Are... Big Thinkers:
We believe in setting audacious goals and envisioning transformative change. Radically Transparent:
We value transparency in all aspects of our business. We foster a culture of open communication, honesty, and accountability. Performance-obsessed:
We are passionate about achieving exceptional results. We strive for excellence in everything we do and set high standards for ourselves. Data-driven:
We embrace the power of data, science, and technology as crucial drivers of our success. Trust Builders:
We prioritize building and nurturing trust with our stakeholders. We understand that trust is the foundation of successful relationships and business partnerships. Through our actions, integrity, and commitment to delivering on promises. Forever Students:
Challenge assumptions to look for solutions. We create a safe environment for experiments and risk-taking by our customers and employees. tvScientific is committed to building an inclusive environment for people of all backgrounds and
everyone
is encouraged to apply. tvScientific is an Equal Opportunity Employer and does not discriminate on the basis of , , , , or expression, , , , protected veteran status, , or any other status protected by applicable , federal, state, or local law.
#J-18808-Ljbffr