Senior Product Manager, Partner Integrations

Senior Product Manager, AdTech

New York Are you ready to revolutionize the advertising industry? At Cognitiv, we are not just another AdTech company—we are industry trailblazers redefining media buying with our Deep Learning Advertising Platform. Since 2015, we have harnessed the power of cutting-edge deep learning technology and data science to transform how brands connect with their customers. Our mission? To bring intelligence to advertising and deliver unparalleled precision, relevance, and impact at scale. With our innovative platform, advertisers enjoy unprecedented flexibility—whether it is activating Dynamic Deals through their preferred DSP, leveraging our managed service DSP, or utilizing our industry-first ContextGPT product. As a part of Cognitiv, you will be at the forefront of AI-driven advertising solutions, driving change and achieving remarkable growth in a rapidly evolving industry. Now, we're growing!

The Role

As the Senior Product Manager for Partnerships & Integrations, you will sit at the intersection of product, engineering, and our partner ecosystem. Your focus will be to evaluate new opportunities, launch partner-driven products, and ensure our integrations are built for scale, reliability, and performance. You'll work closely with Business Development, Partnerships, Agencies, and Engineering to translate market needs into clear product requirements, guide technical execution, and drive ongoing product success. This role is both strategic and hands-on — shaping how Cognitiv expands its product footprint while strengthening the partnerships that fuel our growth.

What You'll Do

• Identify & qualify partner opportunities. Join BD, Partnership, and Agency teams on prospect calls to understand opportunities and evaluate where Cognitiv can bring value.
• Drive new product development. Translate partner needs into clear PRDs, collaborate with Engineering, and guide solutions from concept to market launch.
• Lead partner integrations. Communicate technical requirements, align internal and external stakeholders, and ensure integrations are built for scale and performance.
• Own ongoing product success. Work with existing partners to prioritize enhancements, resolve issues, and continuously optimize for revenue and value.
• Communicate roadmap & performance. Provide transparent updates to internal teams and external partners, ensuring alignment across functions.
• Champion cross-functional collaboration. Partner closely with BD, Partnerships, Engineering, Data Science, and Product Marketing to bring products to life.

Who You Are

• Adtech-savvy professional. You understand the core programmatic ecosystem — DSPs, SSPs, exchanges, auctions, measurement, and OpenRTB flows — and you're comfortable navigating ad server logic, bid requests, and identity frameworks.
• Technically fluent communicator. You can speak confidently about APIs, SDKs, pixels, integrations, and modern adtech protocols. You're able to translate technical requirements between business teams and engineering, ensuring clarity and alignment.
• Tech stack proficient. You have hands-on familiarity with ad servers, DSPs/SSPs, and the underlying architecture that powers them, including APIs, SDKs, OpenRTB, identity systems, and data pipelines.
• Analytical problem solver. You use data to guide decisions, validate hypotheses, break down problems, and support cross-functional strategy.
• Cross-functional collaborator. You work seamlessly with BD, Sales, Customer Success, and Engineering, and you thrive in environments where success depends on partnership and influence.
• Clear & confident communicator. You can articulate complex concepts simply, present to both technical and business audiences, and drive alignment across stakeholders.
• Experienced builder. You bring 3+ years in a technical role such as Product, Solutions Architect, Sales Engineer, Implementation Engineer, or have a comparable engineering or hands-on adtech background.

Bonus Points If You Have

• SSP or DSP experience. Exposure to supply-side workflows, integrations, or marketplace dynamics.
• Startup experience. Especially in AI, data, or high-growth environments.
• BI/Analytics skills. Familiarity with SQL, dashboards, and data exploration.
• Hands-on integration knowledge. Experience with identity, data providers, ad networks, ad verification, or DMP/CDP products.

Salary: $175,000 - $200,000 Base Salary + Equity

What We Offer

Compensation is based on experience, skills, and other factors. Base salary is just one part of your total rewards at Cognitiv—you'll also receive equity and a comprehensive benefits package. Highlights include:

• Medical, Dental and Vision plan for US employees & Extended Health Benefits for Canadian employees
• 12 weeks paid parental leave + 4 weeks WFH
• Unlimited PTO + Work-From-Anywhere August
• Career development with clear advancement paths
• Equity for all employees
• Hybrid work model & daily team lunch
• Health & wellness stipend + cell phone reimbursement
• 401(k) & RRSP with employer match
• Parking (CA, WA, Vancouver offices) & pre-tax commuter benefits
• Employee Assistance Program
• Comprehensive onboarding (Cognitiv University)
• …and more!

What You'll Find at Cognitiv

• Festiv – We make work fun with cross-team games, events, and creative team bonding.
• Responsiv – You'll be close to clients and leadership, influencing real outcomes.
• Inclusiv – Diversity and individuality are celebrated across all levels.
• Inventiv – We reward curiosity and embrace bold ideas.
• Transformativ – We support your growth with training, mentorship, and flexibility.
• Collaborativ – We operate across coasts, connected by purpose and teamwork.

Cognitiv is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive workplace for all. Note on AI Use: Cognitiv may use AI technology to assist with certain administrative aspects of the hiring process, such as note-taking, interview documentation, and reporting. However, every resume and application is reviewed directly by our recruiting team. AI tools are used solely for operational support and do not influence candidate evaluation or hiring decisions.