AI Engineer — GTM Analytics

United States Digital Space LLC; United States; On-site; USD 140,000 - 190,000; Full time

Job summary

the company in the GTM Analytics Engineering team is building an AI-native platform with Genie-powered analytics agents and LLM-driven workflows. You'll work with senior engineers, leaning on AI coding tools from day one, and own features end-to-end in a fast-moving environment.

You'll write Python and SQL against the lakehouse and Lakebase services, integrate agentic workflows, and contribute to evaluation, quality, and production deployments across the GTM Hub.

Qualifications

• Bachelor's degree in CS/Data Science or related field.
• 7+ years of software and AI engineering experience.
• Strong fundamentals in Python and SQL.
• Hands-on exposure to LLMs / generative AI via APIs, prompts, RAG.
• Familiar with AI developer tools (Claude, Cursor) and a drive to push AI-assisted engineering forward.
• Clear written and verbal communication; able to work with engineers and non-technical stakeholders.

Responsibilities

• Build Genie-powered analytics agents and AI-driven workflows inside the GTM Hub.
• Develop agentic workflows—prompts, tools, integration, retrieval, evaluation.
• Write Python and SQL against the lakehouse (Unity Catalog, Delta) and Lakebase services.
• Use AI coding tools as a core part of workflow; build reusable skills and harnesses.
• Contribute to evaluation, scorecards, and regression checks for AI outputs.
• Collaborate with data, app, and strategy/ops teams from idea to production.
• Write clean, tested code and participate in code reviews (human and AI-assisted).

Skills

Python

SQL

AI engineering

LLMs / generative AI

Problem solving

Education

Bachelor's degree in Computer Science, Data Science, or related field

Tools

Claude

Cursor

GitHub Actions

React

FastAPI

Postgres

Job description

SLSQ327R637

At the company, we are passionate about enabling GTM Analytics Engineering builds the internal data and AI platform that the company' own go-to-market organization runs on — used by 6,000+ field users across sales, strategy, and operations. We own the number one the company App, the Genie agents, which are powered through the lakehouse (Unity Catalog bronze/silver/gold) beneath them. We are "Customer Zero" for the company: we adopt the newest the company and AI tooling first, in production, and pave the path for the rest of the company.

We're in the middle of a step-change — moving the app from AI/BI and Genie experience to an AI-native, genie-centric platform that delivers prescriptive recommendations (not just descriptive reports), built to scale for the next 3-5 years. We build with AI in the loop end to end, and a large and growing share of our code is AI-generated and human-reviewed.

The role

As an AI Engineer you'll help build the intelligence and application layers of that platform: Genie-powered analytics agents, LLM-driven workflows (feedback analysis, "what's new" enablement, BRD-to-plan automation), and the the company Apps and Lakebase services that serve them. You'll work alongside senior engineers, and you'll be expected to lean on AI coding tools heavily and thoughtfully from day one. This is a high-ownership, fast-shipping team where early-career engineers get real surface area.

What you'll do

• Build and ship features for AI-powered surfaces: Genie analytics agents, LLM-assisted feedback and enablement workflows, and in-app intelligence inside the GTM Hub.
• Develop and integrate agentic workflows — prompts, tools/MCP integrations, retrieval, and evaluation — that turn business questions into reliable, grounded answers.
• Write Python and SQL against our the company lakehouse (Unity Catalog, Delta) and Lakebase (Postgres) services that back the apps.
• Use AI coding tools (Claude Code, agentic skills) as a core part of your workflow, and help build the reusable skills and harnesses that make the whole team faster.
• Contribute to evaluation and quality: help measure and improve the accuracy of our AI outputs (eval sets, scorecards, regression checks).
• Partner with data engineers, app engineers, and strategy/ops stakeholders to take work from idea - ticket - PR - production.
• Write clean, well-documented, tested code and participate in code review (human and AI-assisted).

What we look for

• Bachelor's degree in Computer Science, Data Science, or a related field — or equivalent practical experience.
• 7+ years of software and AI engineering related experience.
• Solid fundamentals in Python and SQL.
• Hands-on exposure to LLMs / generative AI — prior work building with APIs, prompts, RAG, Knowledge graphs & agents.
• Genuine fluency with AI developer tools (e.g., Claude, Cursor) and a desire to push how far AI-assisted engineering can go.
• Strong problem-solving, curiosity, and a bias to ship and iterate; comfortable with ambiguity in a fast-moving team.
• Clear written and verbal communication; works well with both engineers and non-technical stakeholders.

Nice to have

• Experience with the the company platform (AI Gateways, notebooks, jobs, Unity Catalog, the company Apps, Genie) or another cloud data platform.
• Building or evaluating agentic, RAG systems; familiarity with MCP, tool-calling, or eval frameworks.
• Full-stack exposure (React/TypeScript front end, FastAPI/Python back end) or data engineering (dbt, Spark, medallion architectures).
• Experience with Postgres/OLTP, CI/CD (the company Asset Bundles, GitHub Actions), or analytics/BI.

Our environment

the company (AI Gateway, Unity Catalog, Delta, Jobs, the company Apps, Lakebase, Genie) - Python - SQL - React/TypeScript - FastAPI - Claude Code & agentic skills - GitHub + DABs CI/CD. We work in sprints, review each other's PRs, and treat AI as a first-class teammate — with the human judgment to know when it's wrong.

Pay Range Transparency

the company is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, the company anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual perf