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About the Role
Matching our experts with the right opportunities is at the heart of our business, spanning search, discovery, recommendations, ranking, and the ontology that ties everything together. We're looking for a senior engineer to own this area of our stack, taking end-to-end ownership of how we surface and match the right experts to each customer's need.
Responsibilities
- Own search, discovery, and recommendations end to end, from the underlying data and indices to relevance, ranking, and the user-facing experience
- Build and improve the backend services and APIs that power matching across our knowledge graph, with a focus on precision, recall, and performance
- Turn fragmented, unstructured data into structured, searchable knowledge through reliable ingestion and indexing pipelines
- Ship user-facing search and discovery features across the stack, partnering closely with product and design
- Raise the bar on architecture, code quality, and observability as you scale this part of the platform
- Explore AI and LLM-assisted approaches to discovery (retrieval, embeddings, ranking, agentic workflows) and bring the promising ones to production
Requirements
- 6+ years of software engineering experience, with strong backend fundamentals and comfort working across the stack
- Pride in your craft and a track record of shipping high-quality products and features at scale
- Experience with search, discovery, recommendations, or data-intensive systems, and enough knowledge of relevance and ranking to make an immediate impact
- The ability to turn ambiguous user and business problems into clean, scalable, well-tested engineering solutions
- A self-starter mindset, with the desire to own a domain end to end and grow into deeper ownership of it over time
Skills
- Node.js
- TypeScript
- MongoDB
- OpenAPI
- RabbitMQ
- Elasticsearch
- AWS
- Kubernetes
- Docker
- Terraform
- Kibana
- Sentry
- GitHub
- Slack
- Notion
- Figma
- Amplitude
- Storybook
- Search relevance
- Ranking
- Recommendation systems
- Personalization
- Vector search
- Semantic search
- Embeddings
- HNSW/IVF
- Hybrid retrieval
- Knowledge graphs
- Entity resolution
- LLM integration
- Data-intensive systems
- Event-driven systems
- Asynchronous processing
Location
- San Francisco
- Remote
Work Type
- Hybrid
- Fully remote
Experience Level
- Senior
Salary/Compensations
- $170,000-$220,000
Benefits
- Competitive salary and equity
- Medical, dental, and vision coverage
- 401(k)
- Monthly wellness and fitness stipend
- Paid time off policy, along with company holidays
- Annual company off-sites
- Parent-friendly policies
- Remote flexibility
- Paid family leave
About the Company
- Office Hours is an on-demand expert network that connects leading organizations with trusted experts across various knowledge domains.
- Experts earn income by sharing their knowledge through advisory work, projects, and AI model training.
- Our platform handles the complexities behind the scenes— screening, compliance, scheduling, and payments—so knowledge sharing stays focused on meaningful insights and real impact.
- We're a hyper-growth and profitable company, quickly expanding our expert network, launching new offices, and new products.
- We are headquartered in San Francisco, with offices in Brooklyn and Bangalore.
- Our customers include the fastest-growing digital health companies, technology companies, institutional investment firms, consulting firms and AI Labs.
- We are backed by top marketplace investors and operators of companies like DoorDash, Airbnb, Affirm.
- Human knowledge is the world's most valuable asset.
- Our vision is to make human knowledge easily accessible and infinitely scalable by building tools for the new age knowledge economy.
Equal Opportunity
- Studies have shown that some candidates, especially underrepresented groups such as women and people of color, are less likely to apply to jobs unless they meet every single qualification. At Office Hours we believe in building a diverse and inclusive workplace, so if you're excited about this role but don't meet every qualification in the job description, we still encourage you to apply. You could still be the right candidate for this or other roles at Office Hours!