AI Automation Engineer – GTM

Sift

AI Automation Engineer responsible for architecting AI-powered GTM systems. Collaborating with marketing and sales to drive automation and efficiency in customer engagement.

Posted 5/9/2026full-timeMarina del Rey • California • 🇺🇸 United StatesMid-LevelSenior💰 $140,000 - $180,000 per yearWebsite

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Architect and Build AI-Powered GTM Systems: Design and ship automation pipelines across outreach, competitive intel, sales enablement, inbound, events, content, and reporting.
Write and Maintain Production Code: Build and own Python scripts,
APIs, and integrations that connect data sources, AI models, and GTM tools into reliable workflows.
Lead AI Workflow Development: Translate ideas from the team into working systems.
Build and Own the Knowledge Infrastructure: Design and maintain the vector database that stores Sift's institutional knowledge as embeddings for GTM.
Contribute to the GTM Tech Stack: Collaborate with Ops to manage integrations across Slack, HubSpot, Clay, and other marketing tools in our stack.
Collaborate Across Marketing and Sales: Work directly with the marketing team and BDRs to understand workflow bottlenecks.
Drive the AI Roadmap: Help prioritize and sequence what to build next.
Maintain and Improve What You Ship: Build systems designed to last.

Requirements

What you’ll need

You write Python: You know Python well enough to build, debug, and own your own scripts and pipelines without help.
You have worked with vector databases: You understand how embedding-based retrieval works and have built or maintained a RAG pipeline in production.
You have shipped real automation: Built a system with inputs, outputs, failure handling, and real users depending on it.
You build with AI in production: You understand prompt engineering, API integration, and output validation.
You know the GTM context: You understand what a BDR needs to find a good lead.
You are self-sufficient: You can go from a vague idea to a working prototype without a spec document.
You work well with non-technical teammates: You can explain what you are building and why it matters.
You are curious and current: You follow the AI tooling space closely, bring new ideas to the team.

Benefits

Comp & perks

Offers Equity
Offers Bonus
Offers Benefits

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonAPIsautomation pipelinesvector databasesembedding-based retrievalRAG pipelineprompt engineeringAPI integrationoutput validationproduction code

Soft Skills

self-sufficientcollaborationcommunicationcuriosityproblem-solvingleadershipadaptabilityteamworkworkflow understandingidea translation