Engineering Manager - Search & Discovery

Mid / Senior

|

In Office / Remote / Hybrid

Meytier Premier Employer

About This Workplace

Meytier Partner

Summary:

We are leading the transformation of the global auction industry. Our platforms connect numerous auction houses with buyers worldwide, facilitating billions in annual sales. Through innovative online auction technologies, we assist auctioneers in expanding their reach, enhancing efficiency, and maximizing value—while providing bidders with unparalleled access to rare and specialized items. As a publicly traded entity, we have experienced significant growth, scaling our revenue substantially, with continued expansion beyond recent global challenges. We are modernizing an industry that is transitioning to digital, building a global, category-defining business in the process.


Key Responsibilities:

Enhance the search experience for our users.


-Define and drive engineering excellence

-Oversee the complete delivery of team projects

-Ensure ongoing service reliability and provide timely technical support for all stakeholders

-Collaborate with Product, Analytics, and AI to define and drive the product roadmap

-Manage career development of team members through continuous coaching and mentoring


Responsibilities:

-Partner with stakeholders to understand their priorities and translate them into clear technical strategies.

-Design solutions that advance user-facing experiences while ensuring system scalability, reliability, and efficiency.

-Oversee the delivery of comprehensive improvements in search quality, spanning data pipelines, ML models, and distributed systems.

-Drive the adoption of advanced ML methods while ensuring practical, production-ready implementations.

-Grow, mentor, and develop a diverse team of engineers, fostering collaboration with applied scientists and system experts.

-Provide technical and organizational leadership, ensuring execution excellence while crafting a long-term strategy for search and knowledge systems.


Key Requirements:

-2+ years of experience leading a cross-functional team as an Engineering Manager

-Bachelor's/Master’s degree or equivalent in a quantitative field such as Computer Science, Engineering, Mathematics, or similar

-Proven background in Machine Learning, NLP, and large-scale Search, with the ability to guide teams at the forefront of these fields. Familiarity with vector search, hybrid retrieval (lexical + semantic), and personalization techniques will be a strong plus.

-Deep expertise in retrieval and ranking models and the broader search stack, with a track record of delivering production-quality systems at scale.

-Comfortable with ambiguity and able to navigate it to solve problems. Ability to break a problem into manageable tasks and establish clear goals for the team

-Effective communication and ability to explain complex work in simple terms to team members, stakeholders, and senior leadership

-Be a role model for other Engineers in the team and help establish a culture of engineering excellence, collaboration, continuous learning, and innovation

-Proven expertise in stakeholder management and fostering strong relationships.

-Excellent business understanding to drive informed engineering decisions

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