Director of Product Management, Advertiser Platform (AI)

Location: Menlo Park, California, United States; New York, New York, United States; Seattle, Washington, United States

Salary: USD 248,000–310,000 for Region A; other U.S. location ranges are USD 235,600–294,500 for Region B and USD 223,200–279,000 for Region C. Bonus and equity may also be available.

Company

hirify.global is an AI-native performance advertising company developing AI advertising products for the open internet, including hirify.global Ads and hirify.global Commerce Media.

What you will do

• Define the vision, strategy, roadmap, and execution for the AI-first NextGen Ads Manager and hirify.global Ads MCP.
• Lead product managers for both products and partner with engineering, product design, and core campaign product teams.
• Define advertiser workflows for campaign creation, creative operations, reporting, and optimization.
• Take Ads Manager agents from beta to general availability and phase MCP write actions from read-only access to live campaign changes.
• Maintain feature parity across Ads Manager and MCP using shared components and permissions.
• Make agent actions safe, explainable, logged, reversible, and measurable through task time, agent-assisted spend, and campaign outcomes.

Requirements

• 10+ years of product management experience in B2B software or ad tech, including 3+ years managing product managers.
• End-to-end ownership of a customer-facing product from strategy through launch, with a record of shipping to paying customers.
• Production experience shipping AI agents or LLM-powered features to external customers and driving adoption; prototypes alone do not qualify.
• Experience owning an API or developer-facing product through versioning, permissions, documentation, and deprecation.
• Ability to drive cross-organizational alignment, influence senior stakeholders across product, engineering, and sales, and prioritize a roadmap against competing requests.
• Ability to define and report outcome measures beyond adoption and explain technical trade-offs to sales leaders and customer requirements to engineering teams.

Nice to have

• Experience with advertising platforms, DSPs, campaign management tools, and advertisers’ daily workflows.
• Hands-on experience with LLM-based agents, MCP or similar tool-calling patterns, evaluation practices, and guardrails for live systems.
• Experience moving a product from a UI-first model to an API-first or agent-first model.
• Degree in Computer Science or a related technical or quantitative field, or equivalent experience.

Culture & Benefits

• U.S.-based employees receive medical, dental, and vision insurance, a 401(k) with company match, disability coverage, life insurance, and well-being benefits.
• U.S.-based employees receive up to 12 scheduled paid holidays and one quarterly Thrive Day; all employees receive Flexible Time Off.
• Benefits vary by country, employment type, and eligibility.
• Company values include humility, continuous growth, creating real customer value, and collaborative execution.

Hiring process

• Interview participation must follow the AI Use in Interviews Policy; candidates should not use AI assistance unless a specific interview round assesses AI.
• Applicants acknowledge that they have reviewed the Candidate Privacy Notice.