Automox Go-To-Market Engineer at Automox builds AI tools, integrations, and data pipelines to support sales, marketing, and professional services teams. Owns end-to-end development from scoping to deployment and training.
Responsibilities
Build internal apps and AI agents that sales and services teams use with customers.
Build and host MCP servers that connect AI agents to Automox systems, CRM data and marketing tools.
Run LLM pipelines in production for transcription, search, classification and content generation.
Build and maintain data pipelines and dashboards from Salesforce, HubSpot, Gong, Outreach and GA4.
Write Claude skills and automations for go-to-market teams, and train people to use them.
Test AI products before launch, and advise leadership on AI tools and proposals.
Production software in TypeScript and Python, with tests and CI/CD.
LLM applications in production on the Anthropic and OpenAI APIs: prompt design, model choice, tool use and token cost.
MCP servers and agent tools, with SSO or OAuth sign-in and least-privilege access.
Agent workflows with evaluation and human review: test sets, LLM-as-judge scoring and approval steps.
API integrations with go-to-market systems such as Salesforce, HubSpot, Gong and Outreach.
Qualification
SQL and data modeling in PostgreSQLAWSClear writing and documentationSolid security habitsExperience with Claude CodeNextBigQueryAI search visibilityA background in IT operations
Required
SQL and data modeling in PostgreSQL, including embeddings and vector search.
AWS: ECS or EC2, RDS, S3, CloudFront, IAM, and GitHub Actions deploys without stored keys.
A track record of turning loose requests from sales and marketing leads into scoped builds, then shipping and iterating.
Clear writing and documentation, and the ability to explain AI tools to people who aren't engineers.
Solid security habits: secrets management, access control, and AI governance review before connecting a new tool.
Experience with Claude Code, Codex, Antigravity, Opencode or similar coding agents, including skills, subagents and project rules.
Next.js and React for internal tools, including generated PDFs.
BigQuery, GA4 and Google Ads data.
Okta SSO for internal apps and hosted MCP servers.
Infrastructure as code with CloudFormation or Terraform.
AI search visibility: llms.txt, schema markup and citability.
A background in IT operations, endpoint management or security, such as patching and vulnerability response.
Preferred
The salary range listed is the base pay range for this position. In addition, the total compensation package includes bonus, equity and benefits. Actual earnings may be less or more depending on a candidate's direct experience, skills, industry knowledge, and location.
