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About the role
- Staff Software Engineer leading Babylist’s in-house search platform for personalized universal baby registries. Building relevance, recommendations and conversational search with AI.
Responsibilities
- Serve as technical lead for Babylist’s new Search team
- Move Babylist’s search capability in-house and make results more relevant and personalized
- Set technical direction, sequence initiatives and make technical and product decisions
- Build search architecture for indexing, retrieval and serving and plan migration from the current system
- Define search-result quality measures and improve query understanding, ranking and behavioral signals
- Unify search across Babylist products, external-retailer products, guides and registries
- Integrate search and recommendations using user and registry data
- Develop conversational search with the Addie AI registry assistant
- Take ambiguous business problems from initial concept through production and measure customer impact
- Build and own platforms and tooling adopted by other teams
- Establish AI development standards, patterns and evaluation harnesses
- Partner with product, design and data teams
- Coach Senior engineers through technical and ambiguous decisions
- Participate in user interviews, session-recording reviews and support ride-alongs
Requirements
- Staff-level software engineering experience
- Shipped production systems for enough years to have earned strong opinions
- Experience changing how a team builds with AI, with the new way adopted
- Hands-on production search experience, including indexing, retrieval, ranking and query understanding
- Experience building and running search services that remain fast, relevant and reliable as traffic and catalog size grow
- Experience evaluating search quality offline and online, including relevance judgments and A/B tests
- Ability to use query data, behavior and result-quality judgment to guide product decisions
- Ability to connect search changes to shopper behavior, conversion or revenue
- Ability to define problems, design systems and own them end to end
- Experience on search problems, ideally in e-commerce
- Ability to use AI in engineering work
- Ability to participate in a no-AI technical screen and an AI-assisted coding interview
Benefits
- Target annual bonus of 20 percent of base
- Meaningful equity
- RRSP match
- Company-paid medical
- Fully covered dental and vision
- Generous paid parental leave for birthing and non-birthing parents
- Gradual return-to-work program
- Winter Wonder Week, a paid company-wide week off at the end of the year
- Remote-work stipend
- Mental-health and wellness support
- Remote-first work arrangement
- Company-wide in-person gatherings twice a year
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