Director Product GTM & Commercialization Ads

About the Role

As Director of Product Go-To-Market (GTM) & Commercialization for Uber Advertising, you will serve as a core executive leader driving global commercial success across Mobility and Delivery Advertising. You will operate at the intersection of Product, Engineering, Marketing, and Commercial teams to turn technical innovation into commercial growth and enterprise scale.

In this high-impact role, you will lead the global strategy for product incubation and commercialization, platform launch readiness, and ecosystem operations. You will also oversee Technical Operations, including Partner Solutions Engineering, API and Data Collaboration Integrations, and Strategic Technical Support for top accounts. 

Key Responsibilities

1. Executive Partnership 

• Strategic Alignment: Serve as the strategic bridge between Product Management, Engineering, Sales, and Marketing to align feature roadmaps with go-to-market strategies and commercial goals.
• Inbound Voice of Customer & Business: Translate market feedback, operational bottlenecks, and regional dynamics into actionable requirements for Engineering and Product roadmap.
• Integrated Launch Execution: Partner with Ads Marketing to design end-to-end launch narratives, lifecycle engagement programs, and global brand-to-product customer journeys across Mobility and Delivery business lines.

2. Global Product GTM & Commercialization

• End-to-End Product Launches: Lead global commercialization frameworks, feature activation strategies, and rollout playbooks across high-growth and mature markets.
• Pricing, Monetization & Packaging: Collaborate with Product, Strategy, and Marketing to structure commercial models, feature pricing, and monetization strategies for Uber’s Advertising business.
• Adoption & Revenue Growth: Establish global metrics and operating cadences to track product velocity, user adoption, feature retention, and unit economic impact post-launch.

3. Partner Solutions

• Solutions Engineering & Platform Ecosystems: Lead technical solutions teams that architect integrations, APIs, and enterprise configurations for Uber’s largest advertisers and 3rd party partners. 
• Tier-3/4 Technical Support & Reliability: Build scale-ready, enterprise-grade technical support operations with clear SLAs, automated escalation paths, and rapid-response incident management.
• Operational Excellence & Tooling: Drive continuous efficiency using operational frameworks—reducing platform integration friction, defect rates, and time-to-value for strategic partners.

4. Organizational Leadership & Scaling

• Build, mentor, and scale a multi-disciplinary global team of Product GTMers, Solutions Engineers, and Technical Support Leads.
• Champion an operational culture grounded in continuous improvement, rigorous data analytics, systems thinking, and customer obsession.

Basic Qualifications

• 15+ years of progressive executive experience across Product GTM, Technical Program Management, Solutions Engineering, Strategy & Operations, or Product Management in global tech organizations.
• 8+ years of direct people management experience leading managers, senior leaders, and large cross-functional teams globally.
• Proven track record partnering directly with Engineering, Product Management, and Sales, and Marketing leadership to bring platform capabilities to market.
• Demonstrated experience scaling complex software platforms or multi-sided marketplaces (e.g., Mobility, Logistics, Delivery, Cloud Platforms, or E-Commerce ecosystems).

Preferred Qualifications

• Executive Influence & Governance: Proven capability to align C-suite, Product, Engineering, and Business leaders across complex matrixed environments.
• Product Commercialization Scale: Demonstrated leadership in launching enterprise or high-scale consumer software capabilities that generated measurable adoption and revenue growth.
• Technical Depth: Hands-on familiarity with cloud ecosystem architectures, developer platforms, REST APIs, and complex enterprise integration paradigms.
• Practical experience building with modern AI: prompts, skills, agents, or workflow automation that drove meaningful outcomes.

• Data & Operational Rigor: Advanced fluency with business intelligence platforms, CRM systems, platform telemetry, SQL/data architectures, and enterprise operational metrics.

For Chicago, IL-based roles: The base salary range for this role is USD $215,000 per year - USD $239,000 per year.

For New York City, NY-based roles: The base salary range for this role is USD $239,000 per year - USD $265,000 per year.

For San Francisco, CA-based roles: The base salary range for this role is USD $239,000 per year - USD $265,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits.