Vice President & GM, Product Management - Commerce AI

About Bloomreach

Bloomreach is building the world’s premier agentic platform for personalization, revolutionizing how businesses connect with their customers. We build and deploy AI agents to personalize the entire customer journey. Our work focuses on making autonomous search mainstream, driving conversational shopping, and designing the future of autonomous marketing. All of this is powered by Loomi AI, ensuring consistent and autonomous personalization across various industries like retail, financial services, hospitality, and gaming. We power personalization for over 1,400 global brands, including American Eagle, Sonepar, and Pandora.

What Challenge Awaits You?

The Vice President & GM, Product Management – Commerce AI will lead product strategy and execution across Bloomreach's Search and Recommendations apps and agents, encompassing AI-powered search, merchandising, recommendations, SEO, and conversational product discovery. This role holds GM-level accountability for product lines serving hundreds of global merchants. You will own the end-to-end product vision for how shoppers discover products, from traditional keyword search to agentic, conversational commerce, and drive the convergence of Discovery and Clarity into a unified, AI-native product discovery experience. This includes oversight of Bloomreach's emerging presence in off-site discovery channels via Loomi Connect. You will be a key member of the Product Leadership Team, reporting directly to the Chief Product Officer, and will partner closely with Engineering, Data Science, GTM, and Customer Success leaders to ship products that measurably improve Revenue Per Visitor (RPV) for the world's largest retailers and brands. This role requires a leader with deep product experience in Commerce AI—especially search and recommendations—who can execute quickly, with strong product instincts and a bias for driving outcomes. You must be a confident, conviction-driven leader who can collaborate effectively and drive alignment across the organization.

Your Responsibilities Will Include:

• Owning the product vision and strategy for Search, Merchandising, Recommendations, SEO, and Conversational Agent, ensuring a cohesive roadmap that maximizes RPV and competitive differentiation.
• Driving the convergence of Search into a unified, agentic product discovery experience, from core search ranking to full-page conversational shopping.
• Leading and scaling a high-performing product organization spanning Product Directors, Staff/Principal PMs, and a Product Researcher across multiple geographies (US, EU, India).
• Owning business KPIs for the Search & Recommendations product line, including ARR growth, customer retention, RPV lift, and competitive win rates.
• Driving the product roadmap for AI-powered search and ranking, including semantic search, LLM-powered query understanding, 1:1 personalization, and advanced base ranking models.
• Shaping the agentic commerce strategy, including onsite conversational search (Agentic AI Mode), off-site discovery via Loomi Connect / ChatGPT integration, and MCP-based agent extensibility.
• Overseeing the Conversational Agent roadmap, including conversational engine architecture, consultative selling experiences, customer review ingestion, multi-channel expansion (WhatsApp, SMS, mobile app), and customer service integrations.
• Partnering with Engineering and Data Science to push the boundaries of AI/ML in commerce, from ranking models and vector search to LLM orchestration and real-time personalization.
• Representing Bloomreach externally as a product thought leader in commerce search and discovery with analysts (Gartner, Forrester), at industry events, and in strategic customer engagements.
• Collaborating cross-functionally with the Marketing product pillar, CDE/Data Hub team, GTM, and Customer Success to drive compound value across the Bloomreach platform.
• Transforming the product organization with modern, agentic ways of working, leveraging AI-powered tools for product planning, research, prototyping, and requirements generation to dramatically accelerate the team's velocity and decision quality.
• Acting as a true General Manager for the Discovery and Clarity business, owning not just the product but the commercial outcomes, partnering deeply with Sales, Solution Consulting, Customer Success, and Professional Services to drive pipeline, win rates, retention, and expansion.
• Serving as a strategic partner to Field teams, engaging directly in strategic customer conversations, supporting complex deal cycles, informing competitive positioning, and ensuring the product roadmap reflects market reality and customer needs.
• Recruiting, developing, and retaining best-in-class product talent, fostering a culture of ownership, velocity, and customer obsession.

Your Success Story Will Be:

• In 30 days, you will internalize Bloomreach's product strategy, Search product architectures, competitive landscape, and key customer relationships. You will form a point of view on the current roadmap, team structure, and strategic priorities, and build strong relationships with your peers on the Product, Engineering, and GTM leadership teams.
• In 60 days, you will finalize your product strategy for Search, align with Engineering on execution priorities, and shape your organization to deliver against the strategy. You will have established a clear operating rhythm with your team and cross-functional partners.
• In 90 days, you will be executing against your strategy with measurable KPIs. You will have made key roadmap decisions, driven alignment across the products, and established yourself as the go-to product leader for commerce search and discovery—internally and externally.

You Have the Following Experience and Qualities:

• 10+ years of product management experience, with at least 5 years in a senior leadership role (VP, GM, or equivalent) owning a product P&L or significant revenue line.
• Deep domain expertise in Commerce AI, particularly in e-commerce search, recommendations, personalization, and/or merchandising, ideally at a SaaS platform serving enterprise retailers.
• Strong technical acumen—comfortable going deep on AI/ML concepts (ranking models, NLP/NLU, LLMs, vector search, real-time personalization) and partnering effectively with engineering and data science teams.
• Experience with marketing technology (CDPs, marketing automation, campaign management) is a strong plus.
• Proven ability to drive business outcomes—you think in terms of RPV, conversion rates, ARR, and customer impact, not just features shipped.
• Track record of building and scaling high-performing product teams across multiple geographies and time zones.
• Demonstrated experience transforming product organizations.