Product Manager- AdTech

Key Responsibilities:

Product Strategy & Roadmap:

• Define product vision, strategy, and roadmap for advertising platforms (e.g., DSP, SSP, Ad Server, Attribution Tools, etc.).
• Analyze industry trends, competitor platforms, and customer feedback to identify new product opportunities.
• Prioritize features based on ROI, market needs, and technical feasibility.

Product Development:

• Write clear and actionable PRDs (Product Requirement Documents), user stories, and acceptance criteria.
• Work closely with engineering, UX, and data teams to deliver high-impact features on time.
• Own the product lifecycle from ideation to release and post-launch analysis.

Stakeholder Collaboration:

• Partner with sales, client success, operations, and marketing to gather feedback and communicate product value.
• Serve as the subject matter expert for AdTech features and functionality.
• Provide internal training and support documentation for new releases.

Data & Performance Analysis:

• Use analytics tools to monitor product performance, adoption, and usage metrics.
• Run A/B tests and experiments to optimize ad delivery, yield, targeting, and bidding strategies.
• Leverage data to make informed product decisions and iterate rapidly.

Compliance & Privacy:

• Ensure product compliance with data privacy laws and ad industry standards (GDPR, CCPA, IAB TCF, etc.).
• Integrate identity resolution, consent management, and fraud prevention solutions where necessary.

Qualifications:

Required:

• Bachelor's degree in Computer Science, Engineering, Marketing, or a related field.
• 37 years of product management experience in AdTech or MarTech.
• Strong understanding of the digital advertising ecosystem, including:
• Real-time bidding (RTB)
• Programmatic media buying
• Ad exchanges, pixels, and user targeting
• Header bidding, SDKs, APIs
• Measurement, attribution, and incrementality

Preferred:

• Experience with platforms such as Google Ad Manager, The Trade Desk, Xandr, Magnite, or Adobe Advertising.
• Familiarity with data clean rooms, CDPs, or identity graphs (UID2.0, IDFA, etc.).
• Technical background or hands-on experience working with APIs, data pipelines, or SQL.