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Bloomreach

Director of Product Management, AI Search

Job Posted 21 Days Ago Posted 21 Days Ago
Remote
Hiring Remotely in USA
Senior level
Remote
Hiring Remotely in USA
Senior level
Lead the AI Search product management at Bloomreach, driving the product roadmap, managing experimentation, and fostering cross-functional collaboration to enhance customer experiences.
The summary above was generated by AI

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.

About the Role:

As we look ahead to Bloomreach in 2025, the role of Director of Product Management 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 leader 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:

  • Drive Roadmap & Execution (50% of time)
    • Own 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.
    • 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.
    • Execution Oversight: Lead and mentor team members to deliver projects on scope and on time, while closely monitoring progress and proactively addressing any issues.
    • 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.
  • Lead Experimentation (20% of time)
    • A/B Testing Program: Collaborate with Research & Development (R&D) and Customer Success (CS) teams to co-lead an A/B testing program focused on optimization and competitive analysis.
    • 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.
    • Process Improvement: Work closely with the CS A/B testing leader to continuously improve the testing process.
    • 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.
  • Organizational Leadership (10% of time)
    • Team Leadership: Provide mentorship to 2-3 Product Managers, creating a collaborative and high-performing team environment.
    • Cross-Functional Collaboration: Build and maintain strong relationships with Engineering and other departments to ensure alignment and effective execution.
  • 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: Partner with Product Marketing to align on product positioning, messaging, and launch strategies.
    • Sales Support: Support the Sales team on significant opportunities, providing product expertise and credibility for influential customers & prospects.

You have the following experience and qualities:

  • Professional Experience
    • 5-7 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) & Product Leader (empowering others on your team).
    • 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.

Excited? Join us and transform the future of commerce experiences.

The base salary range for this position is $210,000-$275,000, plus bonus and RSU's. The pay range actually offered will take into account a variety of potential factors considered in compensation, including but not limited to skills, qualifications, geographic location, accomplishments, experience, credentials, internal equity and business needs, and may vary from the range listed above.

Regional benefits:

  • Health care including medical, dental, and vision insurance
  • 401k plan with employer contribution

#LI-AB1

More things you'll like about Bloomreach:Culture:
  • A great deal of freedom and trust. At Bloomreach we don’t clock in and out, and we have neither corporate rules nor long approval processes. This freedom goes hand in hand with responsibility. We are interested in results from day one. 

  • We have defined our 5 values and the 10 underlying key behaviors that we strongly believe in. We can only succeed if everyone lives these behaviors day to day. We've embedded them in our processes like recruitment, onboarding, feedback, personal development, performance review and internal communication. 

  • We believe in flexible working hours to accommodate your working style.

  • We work virtual-first with several Bloomreach Hubs available across three continents.

  • We organize company events to experience the global spirit of the company and get excited about what's ahead.

  • We encourage and support our employees to engage in volunteering activities - every Bloomreacher can take 5 paid days off to volunteer*.

  • The Bloomreach Glassdoor page elaborates on our stellar 4.4/5 rating. The Bloomreach Comparably page Culture score is even higher at 4.9/5

Personal Development:

  • We have a People Development Program -- participating in personal development workshops on various topics run by experts from inside the company. We are continuously developing & updating competency maps for select functions.

  • Our resident communication coach Ivo Večeřa is available to help navigate work-related communications & decision-making challenges.*

  • Our managers are strongly encouraged to participate in the Leader Development Program to develop in the areas we consider essential for any leader. The program includes regular comprehensive feedback, consultations with a coach and follow-up check-ins.

  • Bloomreachers utilize the $1,500 professional education budget on an annual basis to purchase education products (books, courses, certifications, etc.)*

Well-being:

  • The Employee Assistance Program -- with counselors -- is available for non-work-related challenges.*

  • Subscription to Calm - sleep and meditation app.*

  • We organize ‘DisConnect’ days where Bloomreachers globally enjoy one additional day off each quarter, allowing us to unwind together and focus on activities away from the screen with our loved ones.

  • We facilitate sports, yoga, and meditation opportunities for each other.

  • Extended parental leave up to 26 calendar weeks for Primary Caregivers.*

Compensation:

  • Restricted Stock Units or Stock Options are granted depending on a team member’s role, seniority, and location.*

  • Everyone gets to participate in the company's success through the company performance bonus.*

  • We offer an employee referral bonus of up to $3,000 paid out immediately after the new hire starts.

  • We reward & celebrate work anniversaries -- Bloomversaries!*

(*Subject to employment type. Interns are exempt from marked benefits, usually for the first 6 months.)

Excited? Join us and transform the future of commerce experiences!

If this position doesn't suit you, but you know someone who might be a great fit, share it - we will be very grateful!

Any unsolicited resumes/candidate profiles submitted through our website or to personal email accounts of employees of Bloomreach are considered property of Bloomreach and are not subject to payment of agency fees.

#LI-Remote

Top Skills

AI
Data Enrichment
Keyword Search
Large Language Models
Ml
Ml Ranking Models
Personalization
Vector Search

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