Forward Deployed Engineer

Our mission at Greenhouse is to make hiring work for everyone – so we go to great lengths to hire great people because we believe that they’re the foundation of our success. At Greenhouse, you’ll join a team that collaborates purposefully, fosters inclusivity, and communicates with transparency and accountability so we can achieve our mission. Join us to do the best work of your career, solving meaningful problems with remarkable teams. Greenhouse is looking for a Forward Deployed Engineer to join our team! As a Forward Deployed Engineer within our centralized Data Analytics function, you will sit at the intersection of Data Engineering, Analytics, and Generative AI. You won't just analyze data; you will build the AI-powered interfaces that allow our executives and stakeholders to interact with Greenhouse’s data foundation in real-time. You will be the architect of the "last mile," ensuring our core data products are not just stored in a warehouse, but are accessible, conversational, and actionable through modern AI orchestration. This role is primarily responsible for designing, developing, implementing, and operating AI-enabled information systems and data products. Who will love this job The AI Translator – You understand that an LLM is only as good as the data it can access. You take pride in building the semantic layers that allow AI to "speak" Greenhouse data The Systems Thinker – You don’t want to answer the same question twice. You’d rather build an AI interface that empowers stakeholders to find their own answers The Pragmatic Engineer – You know when to use a simple SQL query and when to deploy a RAG (Retrieval-Augmented Generation) pipeline The Quality Evangelist – You are obsessed with "Evals." You believe that AI-driven insight must be as accurate and reproducible as a vetted dashboard The Educator – You enjoy teaching non-technical users how to interact with AI. You don't just "hand over" a tool; you build the intuition and confidence in your users to help improve it What you’ll do Build and maintain the "Last Mile" of our data stack, deploying AI-driven tools (via Streamlit, Retool, or internal frameworks) that allow stakeholders to query Greenhouse data in natural language Establish "Human-in-the-loop" workflows where stakeholders (like Finance) can flag incorrect AI outputs. You will use these flags to refine context libraries, prompt templates, RAG retrieval logic, and dbt models Create "AI Personas" tailored to different departments, ensuring users know how to get the most out of the system Act as the "Translator-in-Chief" by enriching our data warehouse metadata so that AI models understand the nuances of Greenhouse’s business metrics Build and own the "Golden Dataset", a collection of vetted business questions and their correct SQL answers, to rigorously test and grade AI performance You should have 3-6 years of experience in a high-touch technical role such as forward deployed engineering, product analytics, analytics engineering, or analytics engineering supporting finance stakeholders Documented success working directly with executive stakeholders to solve "messy" business problems through creative technical solutions Deep understanding of data modeling within dbt or similar frameworks and a passion for structuring data for both clarity and performance Proven ability to navigate the barrier between raw LLMs and structured business data with familiarity in RAG, function calling, or semantic modeling Demonstrated ability to turn skeptical users into power users through thoughtful tool design, proactive education, and clear documentation Experience with the modern data stack including version control (Git), orchestration tools like Airflow or Dagster, and cloud data warehouses such as Snowflake or BigQuery Applicants must be legally eligible to work in Canada as of the start date chosen by the Company. We are unable to support sponsorship at this time. For purposes of proce ... (truncated, view full listing at source)