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 theyre the foundation of our success. At Greenhouse youll 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 aForward Deployed Engineerto 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 wont just analyze data; you will build the AI-powered interfaces that allow our executives and stakeholders to interact with Greenhouses 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.

• 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 dont want to answer the same question twice. Youd 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 dont just hand over a tool; you build the intuition and confidence in your users to help improve it

• 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 Greenhouses 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

• 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 processing or administering your employment relationship personal information that you provide to the Company may be transferred to and accessed by an affiliate in the United States or elsewhere or to agents and contractors (such as payroll companies insurance companies information technology consultants etc.) that provide services to the Company.

The national pay range for this role is $117500 - $176300 CAD. Individual compensation will be commensurate with the candidates experience and qualifications. Certain roles may be eligible for additional compensation including stock option awards bonuses and merit increases. Additionally certain roles have the opportunity to receive sales commissions that are based on the terms of the sales commission plan applicable to the role.

#LI-MM1

At Greenhouse we live by our mission through using our own product to help us hire the right person for the job every time. Were committed to designing and responsibly using AI tools to transform how we work while keeping people at the center. We are a remote-first company and have shared office spaces in New York City and Ireland and optional co-working spaces that give us flexibility to do our best work anywhere. We take an active role in our growth through a performance review program thats committed to providing actionable feedback and a bonus structure that rewards great performance. We believe that bringing together a variety of perspectives makes us a stronger company and we nurture leaders who create an inclusive culture and invest into employee resource groups that celebrate our differences and life experiences. Were proud to have built anaward-winning culture thats been recognized as Fortunes Best Places to Work and Inc.s Best Workplaces multiple years in a row.

Greenhouse Software is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race color religion sex (including pregnancy sexual orientation or gender identity) national origin age disability genetic information veteran status or any other characteristic protected by applicable local laws regulations and ordinances. If you need assistance and/or a reasonable accommodation during the application process reach out to

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