Nomic AI

Engineer

• Work on retrieval systems — search, ranking, chunking strategies, hybrid approaches, knowing which tool fits which problem
• Context engineering — assembling the right information for agents operating over large, heterogeneous document sets
• Evaluation and harnesses — building the infrastructure to continuously measure agent accuracy, regression-test retrieval quality, and close feedback loops
• Agent pipelines — the orchestration layer between retrieval, models, and downstream actions
• Scale — making all of the above work across thousands of customer document collections, not just a demo corpus

Harness Engineer

Customer Success Manager

• Own the support queue: triage all incoming requests, assess urgency, and ensure every ticket receives an accurate first response within SLA
• Resolve Tier 1 issues directly; escalate to Engineering or Onboarding with clear context and maintain customer communication throughout
• Track resolution time, support volume, and recurring issue patterns; surface product gaps and documentation needs to the broader team
• Own the SME segment: dedicated point of contact for all SMB accounts, driving adoption, managing renewals, and identifying expansion opportunities through proactive outreach and usage-based signals
• Serve as the point of contact for mid-market accounts-lightweight touchpoints, expansion identification, and renewal tracking-with onboarding and enterprise success support on implementations and escalations
• Define and report on KPIs across both functions: first response time, CSAT, activation rate, and expansion rate by segment

Customer Success & Support Manager

Full-stack Engineer

• Build and maintain internal tools to map U.S. AEC market
• Own cold outbound strategy across email and LinkedIn
• Coordinate ad messaging with outbound and event activity
• Identify and manage relationships with key AEC influencers

Harness Engineer

Customer Success & Support Manager

Growth Engineer