Senior Technical Recruiter

Deepgram Deepgram · AI Frontier · United States · Remote · G&A

Senior Technical Recruiter responsible for full-cycle recruiting for complex engineering roles, focusing on AI-native technical talent across global markets. Requires strong technical literacy in AI products and systems, and experience in global expansion and compliant hiring practices.

What you'd actually do

  1. Own full-cycle recruiting for senior and hard-to-fill technical roles across Research, Engineering, and Product teams.
  2. Lead global recruiting efforts across multiple regions (e.g. US, EMEA, APAC), including sourcing, interviewing, and closing candidates in diverse markets.
  3. Partner with hiring managers to define role scope, leveling, and interview plans that account for both business needs and regional talent realities.
  4. Build proactive sourcing strategies for niche and senior-level technical talent in the US and abroad.
  5. Evaluate candidates for technical depth, impact, and alignment with Deepgram’s values across different cultural and regional contexts.

Skills

Required

  • Hands-on experience leading global expansion efforts, including hiring across multiple countries or regions.
  • Experience recruiting for at least two of the following domains: Customer Engineering / Solutions Engineering, Backend / Platform Infrastructure, Product Engineering, or Developer-facing roles.
  • Strong technical literacy — you don't need to code, but you should understand how modern software systems, APIs, and customer-integrated technical products are built.
  • Proven ability to source and close senior-level and highly specialized technical talent in competitive, international markets, particularly for roles that sit at the intersection of technical depth and customer impact.
  • Comfort operating in ambiguity and helping teams sharpen what "good" looks like across different regions and customer segments.
  • Excellent stakeholder management skills and the confidence to push back when needed — especially when balancing speed-to-hire with bar integrity for customer-critical roles.
  • A builder's mindset: you care about process quality, signal, and long-term scalability, not just filling seats.

Nice to have

  • Experience recruiting for AI-native, AI-first, or applied AI companies
  • Deep familiarity with AI/ML systems, LLMs, real-time inference, or data-intensive infrastructure — enough to hold a credible conversation with the engineers you're hiring.
  • Experience supporting distributed, remote-first teams building AI products across time zones and geographies.

What the JD emphasized

  • AI-native technical talent
  • fluency in how AI products are built and deployed
  • systems-level view of recruiting
  • frontier of voice AI and applied machine learning
  • technical depth
  • customer impact
  • AI-native, AI-first, or applied AI companies
  • Deep familiarity with AI/ML systems, LLMs, real-time inference, or data-intensive infrastructure