# Senior Product Manager: Attribute Enrichment

**Company**: Constructor
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://apply.workable.com/j/A5C1A69923
**Canonical**: https://yubhub.co/jobs/job_a0ee7f1b-344

## Description

Constructor is the only search and product discovery platform tailor-made for enterprise ecommerce where conversions matter. We are looking for a Senior Product Manager to lead our Attribute Enrichment team - a critical part of our product strategy. This team enhances the depth, quality, and coverage of product data through ML-driven enrichment, powering better product discovery experience for our customers.

Day-to-day you will:

- Define and launch a high-impact product strategy, prioritizing the top value streams for attribute enrichment based on data, customer insights, and business goals.
- Develop and clearly communicate a compelling value proposition for the Attribute Enrichment product, validated by customer feedback.
- Drive product adoption by leading iterative development and release cycles that directly improve customer experience and satisfaction.
- Work closely with our PSL and go-to-market teams to reduce time-to-demo, ensuring seamless and rapid testing of attribute capabilities.
- Define and track key product performance and quality metrics, using them to inform prioritization and continuous product improvement.
- Engage regularly with customers to gather feedback, identify pain points, and validate roadmap decisions.
- Champion a fast-paced, high-quality, iterative product development cycle, ensuring that the team can quickly adapt to change.
- Collaborate cross-functionally with engineering, product, sales, and customer success to streamline workflows and reduce friction.
- Be the voice of the customer and the business, ensuring the Attribute Enrichment roadmap aligns with real needs and delivers measurable value.
- Stay ahead of the curve on industry trends and ML enrichment innovations.

You would be a good fit if:

- You have 5+ years of experience in product management, with a proven track record of launching successful, high-quality products in fast-paced, technical environments.
- You have strong technical depth, especially in data or ML-driven products, and can understand and drive improvements to complex systems.
- You are an excellent strategic thinker who can define a compelling vision and execute against it with speed and precision.
- You are deeply customer-focused and able to translate real user needs into intuitive and impactful product solutions.
- You thrive in a culture of experimentation, iteration, and continuous learning, and bring a growth mindset to everything you do.
- You make data-informed decisions, balance qualitative insights with quantitative metrics, and are not afraid to pivot when necessary.
- You are a strong communicator and collaborator who can bring teams together, inspire trust, and reduce friction across departments.
- You can own both the success and failure of your product, and are relentless in your pursuit of improvement.
- You are excited to move fast without breaking things, bringing speed and quality into balance.
- You have experience working with ML or AI-based products, especially in data enrichment, catalog structuring, or search/discovery domains.

Benefits:

- Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year
- A competitive compensation package including stock options
- Fully remote team - choose where you live
- Work from home stipend! We want you to have the resources you need to set up your home office
- Apple laptops provided for new employees
- Training and development budget for every employee, refreshed each year
- Parental leave for qualified employees
- Work with smart people who will help you grow and make a meaningful impact

## Skills

### Required
- product management
- data enrichment
- ML-driven products
- complex systems
- strategic thinking
- customer focus
- growth mindset
- data analysis
- communication
- collaboration

### Nice to have
- ML or AI-based products
- data enrichment
- catalog structuring
- search/discovery domains