Greenhouse is searching for a Senior Full Stack Engineer to join our Employer Experience & Talent Discovery team. This team builds the experiences and signals that help employers find the right talent faster, while creating the foundation for a trusted talent discovery ecosystem.

In this role, you’ll contribute to Talent Matching, Talent Rediscovery, and related employer-facing experiences. You’ll work across the stack to build product capabilities and the search and matching systems behind them, with a particular focus on OpenSearch or Elasticsearch and practical applications of AI to matching, ranking, and search relevance.

Who will love this job

• A mentor – you’re passionate about guiding and developing your peers, sharing your knowledge, leading projects, and contributing to the team’s collective success
• A doer – you’re driven to get things done, act with agility, and adapt seamlessly to dynamic environments
• A pragmatic architect – you evaluate trade-offs between performance, relevance, maintainability, and cost, choosing patterns that simplify complexity for the long term
• A problem solver – you think about the bigger picture, connect the dots, and efficiently resolve technical and product challenges
• An excellent communicator – you explain technical processes clearly, including to non-engineers, and work well with Product, Design, Data, and Applied ML partners
• A search and matching builder – you enjoy turning complex retrieval and ranking problems into intuitive, trustworthy product experience

What you’ll do

• Collaborate closely with Product Managers and Designers to define requirements and drive product development from conception to launch
• Build and improve full-stack experiences for Talent Matching, Talent Rediscovery, and related talent discovery workflows
• Design and ship search-backed capabilities using OpenSearch or Elasticsearch, including indexing strategies, query design, relevance tuning, ranking improvements, and semantic retrieval patterns
• Develop matching systems that combine keyword, structured, and semantic signals, applying AI/ML techniques such as embeddings, similarity search, classification, and ranking to improve match quality and consistency
• Partner with Applied ML and cross-functional engineering teams to evaluate trade-offs across relevance, latency, reliability, infrastructure cost, and user trust
• Mentor and guide junior and mid-level engineers, conduct thorough code reviews, and contribute to team engineering practices

You should have

• 5+ years of experience writing production code
• Deep experience with OpenSearch or Elasticsearch in production, including indexing, query design, relevance tuning, and performance trade-offs
• Experience with Ruby, C#, Java, or Python; Ruby on Rails preferred
• Strong JavaScript or TypeScript fundamentals, including React
• Full-stack experience across backend systems, APIs, data modeling, and modern frontend development
• Experience building search, ranking, recommendation, or matching systems
• Practical experience applying AI or ML techniques in production, such as embeddings, semantic search, classification, or ranking
• Experience collaborating with Product and Design in ambiguous, user-facing problem spaces
• Experience with analytical databases, a plus
• Your own unique talents! Your background has given you a unique perspective and set of transferable skills that aren't always in alignment with a given role - but those are qualities we value at Greenhouse. If you don't meet 100% of the qualifications outlined above, we still strongly encourage you to apply

Applicants must be legally eligible to work in Canada as of the start date chosen by the Company.

For purposes of processing or administering your employment relationship, personal information that you provide to the Company may be transferred to and accessed by an affiliate in the United States or elsewhere, or to agents and contractors (such as payroll companies, insurance companies, information technology consultants, etc.) that provide services to the Company.

The national pay range for this role is $117,500 - $164,500 CAD. Individual compensation will be commensurate with the candidate's experience and qualifications. Certain roles may be eligible for additional compensation, including stock option awards, bonuses, and merit increases. Additionally, certain roles have the opportunity to receive sales commissions that are based on the terms of the sales commission plan applicable to the role.