Go-To-Market Engineer

Our Marketing team doesn’t just promote products—we own the narrative. We’re searching for an innovative, results-driven Go-to-Market Engineer who’s excited to execute hands-on, multi-channel marketing strategies that drive predictable engagement and pipeline growth. As our Go-to-Market Engineer, you'll build and run the AI tools, integrations and data pipelines that Automox's go-to-market teams use every day: Sales, Professional Services, Alliances and Marketing. You'll take requests straight from team leads, scope them, and ship working tools on AWS with Claude and other LLMs.

This is a hands-on builder role on the Growth team in Marketing. You'll own work end to end, from the first conversation with a sales leader to the production deploy and the training session that gets people using it.

WHAT YOU’LL OWN & DRIVE

• 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.

WHAT YOU BRING TO THE TABLE

• 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.
• 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.

NICE TO HAVE

• 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.