Principal Product Manager, Advertising

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.

As a Principal 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 (no people management) 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.

• 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.
  

• Define requirements for real-time bidding and optimization services operating under strict latency, throughput, and reliability constraints.

• Translate business goals into model objectives, guardrails, and evaluation plans (offline and online).

• Specify instrumentation and data contracts across impression/click/conversion events to support optimization and measurement.

• Produce formal product specifications for optimization and measurement services, including data schemas, SLAs, edge cases, and failure modes.

• Define model success metrics and monitoring requirements (offline evaluation and online guardrails), and lead regression response processes in partnership with Engineering and Data Science.

• Establish experimentation standards (A/B testing, holdouts) and measurement governance, including metric definitions, data quality thresholds, and guidelines for attribution versus incrementality.
  

• 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.
  

• 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.
  

• 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 required.

• MBA or Master’s degree preferred.

• Equivalent combination of education and experience may be considered.
  

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

• Deep expertise in programmatic media, DSP ecosystems, auction dynamics, and real-time bidding.

• Strong analytical depth, including SQL proficiency; ability to validate datasets, define KPIs, and interpret experiment results.

• Experience defining product requirements for ML systems (recommendation/optimization), including model evaluation, monitoring, and regression management.

• Experience with experimentation frameworks (A/B testing) and measurement approaches; familiarity with incrementality/causal concepts.

• Experience with real-time bidding concepts and programmatic standards (e.g., OpenRTB); familiarity with video/CTV ad delivery concepts.

• Experience with pacing and budget optimization, frequency controls, and performance tradeoffs under latency constraints.

• Familiarity with identity and measurement challenges (cookie deprecation, identity resolution approaches, and attribution vs incrementality limitations).

• Experience defining requirements for event-driven data pipelines and instrumentation (impression/click/conversion), including data quality and observability.

• Familiarity with product delivery tooling (e.g., JIRA/Confluence) and cross-functional design collaboration (e.g., Figma).

• 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.
  

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.