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Fermat Commerce is a leading commerce AI platform powering dynamic, personalized shopping experiences for major brands including GNC, Backcountry, and Glossier. The company is backed by top-tier VCs (VMG, Bain Capital Ventures, Greylock, QED) and has been named The Information's #1 commerce startup.
You will lead the Forward Deployed Product Management team, responsible for driving measurable conversion and revenue lift for enterprise customers. This is a hands-on leadership role where you'll own team strategy, customer outcomes, and product direction while remaining deeply engaged with customer work.
Key responsibilities include:
- Leading the team's ability to identify and execute high-impact opportunities across paid campaigns, merchandising, and dynamic pages
- Hiring, coaching, and developing FDPMs; establishing clear expectations and supporting career growth
- Ensuring every customer engagement has clear business objectives, prioritized execution plans, and credible success metrics
- Setting team goals and KPIs, running regular operating cadence, and holding the team accountable for launches, adoption, and demonstrated value
- Establishing standards for scoping, implementation, validation, and optimization; allocating accounts based on complexity and opportunity
- Supporting FDPMs in complex customer relationships and building executive trust
- Translating patterns across deployments into actionable product recommendations
- Building playbooks, tools, and AI-enabled workflows to improve speed and consistency
- Establishing high standards for experiment design, data quality, and results interpretation
You'll work across a 60+ person team distributed across San Francisco, New York, and Bangalore.
Requirements:
- Hands-on experience driving measurable growth for ecommerce or consumer brands (paid campaigns, merchandising, landing pages, conversion funnels)
- Experience managing and developing teams in forward deployed product, agent strategy, growth, technical product management, or related customer-facing technical functions
- Track record of delivering complex enterprise implementations from discovery through launch, adoption, and measurable impact
- Strong product judgment and ability to prioritize competing customer needs, technical constraints, and business goals
- Technical fluency to work with engineers on integrations, data flows, instrumentation, and implementation tradeoffs
- Analytical depth to evaluate experiments, question data quality, and connect product performance to customer outcomes
- Ability to build trust with executive sponsors, communicate difficult tradeoffs, and keep complex engagements moving
- Experience building repeatable processes and managing teams against goals while maintaining high customer-specific execution standards
- Experience with AI products or agentic workflows is a strong plus