1 day ago
Remote, United StatesMid Level
Base Salary
$150k - $160k/yr
Responsibilities
- Build internal applications and AI agents for sales and professional services teams.
- Build and host MCP servers connecting AI agents to Automox systems, CRM data, and marketing tools.
- Run production LLM pipelines for transcription, search, classification, and content generation.
- Build and maintain data pipelines and dashboards using Salesforce, HubSpot, Gong, Outreach, and GA4 data.
- Create Claude skills and automations, train go-to-market teams, and support adoption.
- Test AI products before launch and advise leadership on AI tools and proposals.
- Own projects end to end, from scoping requests through deployment, iteration, and user training.
- Apply secrets management, access control, and AI governance reviews to new integrations.
Requirements
- Production software development experience with TypeScript and Python, including tests and deployment automation.
- Experience building production LLM applications with Anthropic and OpenAI APIs, including prompt design, model selection, tool use, and token-cost management.
- Experience building MCP servers and agent tools with SSO or OAuth and least-privilege access.
- Experience designing agent workflows with evaluation, test sets, LLM-as-judge scoring, human review, and approval steps.
- Experience integrating APIs with go-to-market systems such as Salesforce, HubSpot, Gong, and Outreach.
- Experience with SQL, data modeling, PostgreSQL, embeddings, and vector search.
- Experience deploying on AWS using ECS or EC2, RDS, S3, CloudFront, IAM, and GitHub Actions.
- Ability to turn loosely defined requests into scoped builds and ship and iterate on working tools.
- Strong writing, documentation, and communication skills, including the ability to explain AI tools to non-engineers.
- Experience with Claude Code, Codex, Antigravity, Opencode, or similar coding agents is preferred.
- Experience with Next.js and React for internal tools, including generated PDFs, is preferred.
- Experience with BigQuery, GA4, Google Ads data, Okta SSO, CloudFormation, or Terraform is preferred.
- Experience with AI search visibility practices such as llms.txt, schema markup, and citability is preferred.
- Background in IT operations, endpoint management, or security is preferred.
Benefits
- Fully distributed and remote work arrangement; the company does not currently hire in California or the New York metropolitan area.
- Base salary range of $150,000–$160,000, plus potential bonus, equity, and benefits.
- Equity for full-time employees and a 401(k) match.
- Flexible PTO and generous sick time policy.
- Comprehensive health plans with employer contributions, company-paid short- and long-term disability and life insurance, and HSA contributions of $100–$200 per month depending on tier.
- $25 monthly lifestyle spending account and $50 per month internet reimbursement.
- $500 home office stipend and a $10,000 adoption benefit.
- Comprehensive family planning coverage on the Meritain medical plan.
- Employment requires passing federal, state, and county background checks and completing local in-person verification.
Tech Stack
Categories
About Automox
Automox builds a cloud-native endpoint management platform that automates patching, configuration, and vulnerability remediation for Windows, macOS, and Linux devices in enterprises. Delivered as a B2B SaaS subscription, it replaces on‑prem tools with policy-driven automation for desktops, laptops, and servers. Founded in 2015 and headquartered in Boulder, Colorado, the company is privately held and serves IT and security teams that manage diverse fleets across remote and on‑site environments.