Go-To-Market Engineer
New
A
AutomoxIT operations
Location: Remote - USFull-Time
Salary$150,000 — $160,000 USD
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Job Details
- Required Skills
- AWSPostgreSQLPythonSalesforceTypeScriptHubSpotGitHub Actions
Requirements
- Build production software in TypeScript and Python, with tests and CI/CD.
- Develop production LLM applications using the Anthropic and OpenAI APIs, including prompt design, model choice, tool use, and token cost.
- Build MCP servers and agent tools with SSO or OAuth sign-in and least-privilege access.
- Create agent workflows with evaluation and human review, including test sets, LLM-as-judge scoring, and approval steps.
- Integrate APIs for go-to-market systems such as Salesforce, HubSpot, Gong, and Outreach.
- Use SQL and data modeling in PostgreSQL, including embeddings and vector search.
- Work with AWS services including ECS or EC2, RDS, S3, CloudFront, and IAM, and deploy with GitHub Actions without stored keys.
- Turn requests from sales and marketing leads into scoped builds, then ship and iterate.
- Write clear documentation and explain AI tools to people who aren't engineers.
- Apply security practices including secrets management, access control, and AI governance review before connecting a new tool.
- Pass a federal, state, and county background check and complete a local in-person verification.
Responsibilities
- Build internal apps and AI agents for sales and services teams to use with customers.
- 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.
- 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.
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