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Demandbase

Lead Product Manager, Advertising

Sorry, this job was removed at 09:08 p.m. (CST) on Wednesday, Mar 25, 2026
Remote
Hiring Remotely in US
Remote
Hiring Remotely in US

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Introduction to Demandbase:

Demandbase is the only pipeline AI platform that empowers GTM teams to automate growth at scale. With a unified view of data, insights, actions, and outcomes, B2B enterprises can seamlessly align and execute their account-based GTM strategies with confidence. Thousands of businesses trust Demandbase to maximize revenue, minimize waste, and consolidate their data and tech stacks – all in one platform.

As a company, we’re as committed to growing careers as we are to building world-class technology. We invest heavily in people, our culture, and the community around us. We have also continuously been recognized as One of The Best Places To Work in the San Francisco Bay Area by Fortune, and One of The 60 Best Companies To Sell For by Selling Power. Our offices are located in San Francisco, New York, Austin, Seattle, India, and the United Kingdom.

About the Role

As a Lead Product Manager, you will define and lead the evolution of Demandbase’s in-house DSP into an AI-driven, multi-channel intelligence engine. You will play a critical role in shaping product strategy, scaling performance across media formats, and building autonomous systems that optimize outcomes across the full B2B customer journey.

This is a senior individual contributor role with significant strategic and cross-functional influence. You will partner closely with Engineering, Data Science, GTM, and executive stakeholders to translate AI innovation into measurable revenue impact. Your work will connect data, creative, identity, and decisioning into a unified, adaptive system that automates growth at scale.

The base compensation range for this position are for candidates based in San Francisco, CA. For all other locations, the base compensation range is based on the primary work location of the candidate as our ranges are location specific. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skillset, years of experience, and depth of experience.

ResponsibilitiesProduct Strategy & Execution
  • Define and own the DSP strategy and multi-year roadmap to drive scalable, AI-led performance across display, video, CTV, and emerging formats.

  • Evolve the optimization engine into an autonomous, learning system that adapts bidding, pacing, and creative selection to maximize pipeline and revenue outcomes.

  • Advance measurement and experimentation frameworks, including causal-lift methodologies, to quantify media influence across channels.

  • Drive expansion into new media formats while solving for scale, latency, identity resolution, and measurement complexity.

  • Prioritize initiatives that balance innovation, operational feasibility, and measurable business value.

AI & Platform Innovation
  • Partner with Engineering and Data Science to productionize AI models that power personalization, optimization, and creative decisioning.

  • Integrate adaptive creative and generative content capabilities into the media experience in collaboration with the Creative Personalization team.

  • Design unified intelligence loops that connect data, optimization, creative, and measurement into one adaptive system.

  • Explore and incorporate emerging AI capabilities, including agentic systems and reinforcement learning, into product strategy.

  • Ensure the DSP platform evolves into a scalable, intelligent infrastructure that supports automation and continuous learning.

Leadership & Cross-Functional Collaboration
  • Partner with Engineering leadership to align architecture decisions with long-term product strategy.

  • Collaborate with GTM, Marketing, Finance, and executive stakeholders to define and track success metrics, including media revenue, ROI, and cost per pipeline dollar.

  • Represent advertiser and agency needs internally, ensuring intuitive workflows and scalable global adoption.

  • Communicate complex product and AI concepts clearly to technical and executive audiences.

  • Foster alignment across cross-functional teams to ensure high-velocity, high-quality delivery.

Qualifications
  • Bachelor’s degree (or foreign equivalent) in Computer Science, Computer Engineering, Electrical Engineering, Telecommunications, Data Science, Statistics, Applied Mathematics, or a closely related quantitative/engineering field.

  • MBA or Master’s degree preferred.

  • 7–10+ years of product management experience, ideally within ad tech, DSPs, martech, or AI-driven platforms.

  • Deep expertise in programmatic media, DSP ecosystems, and auction dynamics.

  • Proven track record of driving measurable growth through media optimization, identity innovation, or performance measurement systems.

  • Strong technical literacy, with the ability to discuss system architecture, experimentation frameworks, and machine learning models with engineering and data teams.

  • Experience scaling products across multiple media formats, including display, video, CTV, or native.

  • Understanding of multi-channel programmatic ecosystems and B2B buying behavior.

  • Experience with generative AI, creative automation, or AI-native product capabilities in a media or martech context.

  • Strong communication skills with the ability to influence both executive and technical stakeholders.

  • Demonstrated ability to operate effectively in complex, fast-moving environments with clarity and decisiveness.

Benefits

Our benefits include options for up to 100% paid Medical and Vision premiums for employees, a flexible PTO policy, paid holidays, and access to mental health and wellness resources. We also provide a 401(k) with pre-tax, after tax, and roth options, as well as short-term/long-term disability, life insurance, and other great benefits.

Our Commitment to Diversity, Equity, and Inclusion at Demandbase

At Demandbase, we believe in creating a workplace culture that values and celebrates diversity in all its forms. We recognize that everyone brings unique experiences, perspectives, and identities to the table, and we are committed to building a community where everyone feels valued, respected, and supported. Discrimination of any kind is not tolerated, and we strive to ensure that every individual has an equal opportunity to succeed and grow, regardless of their gender identity, sexual orientation, disability, race, ethnicity, background, marital status, genetic information, education level, veteran status, national origin, or any other protected status. We do not automatically disqualify applicants with criminal records and will consider each applicant on a case-by-case basis.

We recognize that not all candidates will have every skill or qualification listed in this job description. If you feel you have the level of experience to be successful in the role, we encourage you to apply!

We acknowledge that true diversity and inclusion requires ongoing effort, and we are committed to doing the work required to make our workplace a safe and equitable space for all. Join us in building a community where we can learn from each other, celebrate our differences, and work together.

Unsolicited Submissions

At Demandbase, we value thoughtful partnerships and direct connections with candidates. We’re not accepting unsolicited resumes or outreach from third-party recruiting agencies. Any unsolicited submissions will not be reviewed, and no fees will be paid.

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

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