Responsibilities

• Translate Paid Search priorities into a clear experiment and delivery roadmap, maintaining the experiment calendar, capacity view, hypotheses, success criteria, launch gates, dependencies, and readouts.
• Coordinate delivery across Data Science, Analytics, Engineering, and Operations, surfacing risks early, resolving dependencies, sharing context, and keeping decisions moving.
• Help protect and improve our Google and Bing portfolio through campaign structure, bidding and tROAS optimization, sitelinks, ad copy, and other performance levers.
• Own the operating tools that make performance visible and execution faster, including dashboards, alerts, workflows, documentation, experiment readouts, and AI-enabled analysis and automation.
• Partner on attribution, policy, and measurement challenges, ensuring important problems have a clear owner, decision path, and method for validating whether solutions are working.
• Translate financial and commercial goals into clear prioritization and execution decisions while preserving the context and rationale behind those decisions.
• Build durable knowledge across Google and Bing so experiments, platform behavior, attribution rules, policy constraints, and historical learnings are easy for the team to find and reuse.
• Define useful metrics, assess experiment quality, and connect performance data and channel behavior to commercial decisions.
• Champion a culture of thoughtful experimentation and rapid execution, helping the team move quickly while maintaining high standards for measurement and learning.

Requirements

• Experience in Product Management, Program Management, Growth, Performance Marketing, Ad Tech, marketplace products, or another data-driven commercial environment.
• A track record of translating strategy into an executable roadmap and leading cross-functional delivery without direct authority.
• Strong analytical judgment, with the ability to define meaningful metrics, assess experiment quality, understand attribution limitations, and connect performance data to commercial outcomes.
• Experience with Google Ads and Microsoft Advertising, or demonstrated ability to quickly learn and operate within complex advertising platforms.
• Technical fluency with dashboards, data workflows, APIs, or automation, and the ability to work effectively with Data Science and Engineering partners.
• Clear written and verbal communication skills, strong organization, and the ability to create momentum in ambiguous, fast-moving environments.
• A practical and curious mindset with the ability to bring useful external knowledge, platform developments, and industry best practices into the team.
• BS or MS in STEM, Economics, Psychology or close equivalent required.

Preferred

• Experience with paid-search campaign structure, bidding, tROAS, elasticity, search ads, sitelinks, or international market performance at a large marketplace is a plus.
• Experience with experiment design, measurement, attribution, or revenue and profit-efficiency analysis is a plus.

Benefits

• Accelerated Growth Environment : An environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale.
• Top Tier Compensation Package : Competitive base, equity, and upside that tracks with your impact.
• Flexible Time Off : Enjoy unlimited Flex Time Off, giving you the flexibility to manage your schedule and take time to recharge as needed.
• Comprehensive Benefits Package : Prioritize your well-being with a comprehensive benefits package, featuring 401k, and premium Health, Vision, and Dental Insurance options.