Onyx is the open source GenAI platform connected to your company's docs, apps, and people. We ingest and sync from all sources of information (Google Drive, Slack, GitHub, Confluence, Salesforce, etc.) to provide a centralized place for users to ask about anything. Imagine your most knowledgeable co-workers, all-rolled into one, and available 24/7!

We believe that every modern team will be adopting knowledge enhanced GenAI within the next 5 years and it is our goal to bring this technology to all the teams of the world.

We raised a $10M seed coming out of YCombinator, backed by Khosla Ventures (early/seed backers of OpenAI, Doordash, GitLab, etc.) and First Round Capital (Notion, Square, Roblox, etc.). Our customers include of the best teams in the world like Netflix, Ramp, Applied Intuition and dozens of others. We also have incredible open source users like Roku, Zendesk, L3Harris and more.

💥 Your Impact

At Onyx, we’re on a mission to make Generative AI indispensable in the workplace by seamlessly integrating it with company specific knowledge. Our vision is to become the go-to software for this transformative technology and we’re scaling rapidly to get there. As our Founding Recruiter, you’ll be at the forefront of this journey, shaping not just our team but also the talent strategy that will drive our success.

💡 About the Role

As the first recruiter at Onyx, you’ll be a foundational part of our team, responsible for building our talent function from the ground up. This is an opportunity to operate at both strategic and tactical levels — from setting talent acquisition strategy to rolling up your sleeves and finding exceptional candidates. This is a 6 month contract to start with the potential to convert to full time.

In this role, you will:

• Own the Entire Recruitment Lifecycle: Manage the full-cycle recruiting process across all roles, from technical engineering to go-to-market (GTM) positions.
• Strategize and Execute Talent Acquisition: Partner directly with the founders to define hiring priorities, develop sourcing strategies, and ensure we’re building a high-performing team aligned with our culture and goals.
• Act as a Talent Brand Ambassador: Develop and refine Onyx’s employer brand, ensuring that candidates clearly understand our mission, culture, and values.
• Implement Scalable Recruiting Processes: Design, optimize, and manage recruiting workflows, including ATS management, candidate communication, and data-driven reporting.
• Drive Creative Sourcing and Outreach: Identify and engage top talent through traditional and non-traditional channels, leveraging your network and experimenting with innovative sourcing methods.
• Guide and Coach Hiring Managers: Provide strategic guidance to founders and team leads on best practices in interviewing, candidate experience, and hiring decisions.
• Deliver a World-Class Candidate Experience: Ensure that every candidate who interacts with Onyx leaves with a positive impression, regardless of the outcome.

🚀 You’ll be successful if you…

• Have 3+ years of full-cycle recruiting experience, with a focus on technical and GTM roles.
• Thrive in an early-stage, high-growth startup environment, where adaptability and strategic thinking are key.
• Are a natural storyteller, capable of clearly and persuasively communicating Onyx’s mission, vision, and opportunity.
• Have experience designing and implementing scalable recruiting processes and systems.
• Are data-driven, leveraging metrics to inform recruiting strategies and optimize performance.
• Are a proactive problem-solver who can anticipate challenges and develop creative solutions.

⭐ Bonus Points:

• Experience as the first or early recruiting hire at a startup, building the function from the ground up.
• Experience recruiting for technical roles, including full-stack engineers, ML engineers, and forward-deployed engineers.
• Strong network within the AI/tech industry.

Familiarity with ATS systems like Ashby, Greenhouse, or Lever.

Technical Challenges:

• Information retrieval at scale
• Access controls, scalability, high availability, data freshness, etc.
• Building the optimal UX for knowledge enhanced GenAI
• LLM based knowledge graphs, multi-hop queries, aggregation type query handling
• Semantic representation of the organization, subject matter experts, and major topics
• Learn from user feedback
• Personalized search
• [Future] Code search, NL-to-SQL, Excel/Sheets calculations

Tech Stack: Typescript/NextJS, Python, Postgres, Redis, Docker/Kubernetes

AI Stack: Transformers and deep learning, RAG, knowledge graphs, LLM based agent, search engine/vector database