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.