Principal Product Manager - Remote Eligible

Principal Product Manager

Bloomreach is building the world's premier agentic platform for personalization. We're revolutionizing how businesses connect with their customers, building and deploying AI agents to personalize the entire customer journey.

We're taking autonomous search mainstream, making product discovery more intuitive and conversational for customers, and more profitable for businesses.

We're making conversational shopping a reality, connecting every shopper with tailored guidance and product expertise — available on demand, at every touchpoint in their journey.

We're designing the future of autonomous marketing, taking the work out of workflows, and reclaiming the creative, strategic, and customer-first work marketers were always meant to do.

And we're building all of that on the intelligence of a single AI engine — Loomi AI — so that personalization isn't only autonomous…it's also consistent. From retail to financial services, hospitality to gaming, businesses use Bloomreach to drive higher growth and lasting loyalty. We power personalization for more than 1,400 global brands, including American Eagle, Sonepar, and Pandora.

As we look ahead to Bloomreach in 2026, the role of Principal Product Manager for AI Search is an incredibly impactful position - helping our customers realize the transformative power that GenAI has for e-commerce search. We are seeking a visionary and strategic PM to drive our Search product roadmap, with the background to guide our team toward a compelling roadmap & deliver on that with crisp execution.

Key Responsibilities:

1. Drive Roadmap & Execution (50% of time)

• Own large portions of the Search Product Roadmap: Lead the development and execution of the Search product strategy, ensuring it aligns with our overall business objectives and customer needs. Main focus areas are Ranking, Relevance, Data Quality.
• Technical Expertise: Maintain a strong understanding of the technical aspects of AI Search, including areas like Large Language Models (LLMs), artificial intelligence, recall, ranking, and personalization.
• Innovation: Stay curious about emerging technologies and assess how they can enhance our product stack, continuously delivering cutting-edge innovation.
• Project Scoping and Sequencing: Effectively scope and sequence projects to ensure timely and impactful delivery.
• Data-Driven Decision Making: Conduct thorough research with Data Science to identify problem areas within Search for our customers, using data to inform prioritization and feature development.
• Business Impact Analysis: Ensure all features have a clear path to improving key business metrics (RPV, Conversion Rate), with defined hypotheses on expected impact.
• Process Optimization: Enhance our product delivery process to be efficient and effective, keeping all tools (like Productboard) up to date and ensuring a well-oiled operation.

1. Optimization & Experimentation (20% of time)

• A/B Testing Program: Collaborate with Research & Development (R&D) and Customer Success (CS) teams to accelerate our A/B testing & optimization program.
• Support Key Tests: Provide support for critical in-flight A/B tests, especially those comparing our product against competitors.
• Insight Integration: Analyze test results to identify opportunities for performance lift and integrate these insights back into the product roadmap.
• Develop Playbooks: Create comprehensive guides for CS and customers on implementing features to drive improvements, covering both existing and new functionalities.
• Early Access Program: Define and manage an early access program, setting key criteria for testing and collaborating with early adopters to demonstrate the value of new features.

1. Customer and Go-to-Market Support (20% of time)

• Customer Engagement: Deliver roadmap overviews and updates to customers, and support the resolution of escalations for enterprise clients.
• Go-to-Market Partnership: Train CS and Sales team members about new releases, partner with Product Marketing to create collateral & launch materials.

You have the following experience and qualities:

• Professional Experience
• 4-6 years experience with the intersection of Search, E-commerce, and AI & ML technologies (LLMs, Vector Search, Personalization, Keyword Search, ML ranking models, Data Enrichment).
• 1-3 years experience in B2B SaaS Product Management.
• Proven success as a Product Manager (launching impactful features).
• Experience working with globally distributed teams.
• Personal Qualities
• Strong, influential, persuasive communication.
• Deep ability to understand how technical concepts & tradeoffs tie to business outcomes.
• Growth Mindset, highly collaborative, comfortable in a high ownership/high accountability environment.
• Great balance of entrepreneurial resourcefulness and knowing how to implement the right amount of process.