AI Engineer - GTM Analytics

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 Databricks 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 Databricks 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)., 33 Minutes Ago Remote or Hybrid Texas, USA 16-16 Hourly Junior 16-16 Hourly Junior Fintech * Professional Services * Sales * Financial Services Provide empathetic phone and email support to members, assist with onboarding and account setup, handle high-volume inbound calls, document interactions, and collaborate with team members to share best practices. Achieve

Customer Service

33 Minutes Ago Remote or Hybrid 18-18 Hourly Junior 18-18 Hourly Junior Fintech * Professional Services * Sales * Financial Services Provide empathetic phone and email support to members for onboarding, account setup, and ongoing inquiries. Listen, troubleshoot, document interactions, collaborate with team, and maintain high call volumes while coaching members toward financial solutions. Navan

Event Travel Manager

40 Minutes Ago Easy Apply Remote or Hybrid USA Easy Apply 68K-70K Annually Junior 68K-70K Annually Junior Fintech * Information Technology * Payments * Productivity * Software * Travel * Automation Serve as primary client liaison for Event Travel, providing end-to-end travel support, fare and booking management, program coordination from post-sale to billing, troubleshooting using agent tools, maintaining documentation and SLAs, training on travel platforms, and supporting team leads to maximize revenue and client ROI. Top Skills: AmadeusGoogle WorkspaceExcelMicrosoft PowerpointMicrosoft WordNavan TravelxenNavan/R&M SystemsNdcSabreSlack

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

• Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
• Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
• Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
• Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
• Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
• Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

• 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 Databricks platform (AI Gateways, notebooks, jobs, Unity Catalog, Databricks 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 (Databricks Asset Bundles, GitHub Actions), or analytics/BI.

Our environment

Databricks (AI Gateway, Unity Catalog, Delta, Jobs, Databricks 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.

Databricks 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, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 1 Pay Range $146,600-$201,650 USD Zone 2 Pay Range $132,000-$181,500 USD Zone 3 Pay Range $124,600-$171,400 USD Zone 4 Pay Range $117,300-$161,250 USD, At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.