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reindeer-ai

AI Operations Engineer

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We are a well-funded, early-stage startup seeking a pragmatic, AI Operations Engineer to build and own the internal tooling, automations, and AI agents that make Reindeer itself a more productive company.

You'll work closely with Sales, Marketing, Account Management, Business Operations, and Finance to ship internal software that compounds the company's leverage - intelligent systems for decision-making, data extraction, document processing, and other tasks typically requiring human intervention.

This is a first step into the architecture and strategy of AI-driven automation for large-scale enterprise environments.

Key Responsibilities:

Build GTM Productivity Agents

Solutions for Sales, Marketing, and Account Management - faster cycles, higher conversion, cleaner data:

  • AE sales-cycle accelerator - pre-call prep, account research, follow-up drafts, CRM hygiene.

  • Security questionnaire and RFP/RFI agent - auto-respond to security questionnaires in prospect vendor onboarding.

  • POC scoping and proposal agent - turn discovery notes and call transcripts into proposals and scoped POC plans.

  • Account expansion and renewal signals - monitor usage and customer signals on enterprise accounts; surface expansion opportunities and renewal risk.

  • Case study and reference agent - extract reference-worthy quotes and metrics from customer calls; manage the reference inventory.

  • Soundbites-to-social, meeting follow-up tracker, competitive research tool.

Internal AI Agent Deployment

Deploy Reindeer's own agents on internal workflows; evaluate, iterate, and feed learnings back to Product and R&D:

  • Internal billing app - usage tracking, invoicing, and dunning.

  • Procurement and vendor onboarding tool - intake, security review, contract storage, approval routing.

  • Agent ops dashboard - monitor customer-facing agent runs (errors, latency, cost).

  • Internal compliance agents - verify customer requirements: security, open source licenses, DPAs.

  • Profitability dashboard - agent cost vs. revenue with surfaced optimization opportunities.

IT and Workplace Operations:

  • Own workstation, network, identity, and SaaS administration for the company.

Qualifications:

Experience:

  • 2+ years of full-stack engineering, with end-to-end ownership of internal tools, integrations, or automation systems.

  • Track record of shipping production-quality internal software in a fast-moving environment.

Technical Skills:

  • Proficiency in Python and TypeScript/Node required; we build our frontend in Svelte, so comfort with lightweight web UIs is a strong plus.

  • Hands-on with SaaS APIs (Salesforce/HubSpot, Ashby, Rippling, NetSuite/QBO, Stripe, Slack, Notion).

  • Practical experience with LLMs and AI agents - prompting, evaluating, and operating in production-adjacent workflows.

  • SQL (PostgreSQL, MySQL); familiarity with NoSQL/Vector DBs.

  • Cloud deployment on AWS, GCP, or Azure; OAuth2/JWT and secure integration practices.

Bonus Skills:

  • Maintain customer support tooling and act as L1/L2 customer support (via agents) when needed.

  • First or earliest internal-tools / business engineer at a high-growth startup.

  • Workflow automation (Zapier, Make, n8n, Workato, Tray) and data tooling (dbt, Hex, Metabase, BigQuery/Snowflake).

  • BizOps or RevOps engineering background.

  • Familiarity with enterprise compliance artifacts (security questionnaires, DPAs, OSS license review).

  • CI/CD and lightweight DevOps practices.