Forward Deployed Engineer
Role Description
About VR Goals
VR Goals is the operating system for vacation rental management companies. Accounting, revenue, tasks, guest services, CRM, HR, and tax filing are built natively into one platform instead of stitched together from a dozen point solutions. We launched publicly in late 2026, we are bootstrapped, and we are onboarding operators faster than we can staff it.
What you will own
- Own customer implementations end to end: kickoff, data migration, PMS integration, go live
- Sit inside customer operations, learn how each management company actually runs, and configure the platform to match
- Write the code the deployment needs: migration scripts, custom reports, data mappings, one off integrations
- Turn repeated custom work into product, and feed that back to engineering
- Be the technical owner of the account through the first 90 days
What we are looking for
- 4 or more years writing production software, ideally TypeScript and SQL
- You have worked directly with customers, not behind a ticket queue
- Comfortable with messy real world data and migrations that do not go cleanly
- You debug in production and you own the outcome, not the ticket
- Willing to travel occasionally to customer sites
Nice to have
- Experience with Next.js, Supabase, PostgreSQL, Drizzle ORM
- Vacation rental, property management, or hospitality software background
- Prior forward deployed, solutions engineering, or implementation engineering role
Why this role
Every implementation you finish becomes product. You are not a support engineer patching around a platform. You are shaping what gets built next.
Veteran-owned company. Veterans are strongly encouraged to apply.
Pay: $130,000.00 - $165,000.00 per year
Benefits:
- Health insurance
Work Location: In person
About Forward Deployed Engineering
Forward Deployed Engineers are embedded directly with customers to build custom solutions, integrate products into existing infrastructure, and bridge the gap between product engineering and customer success. The role combines deep technical skills with the ability to operate in client environments and translate business requirements into working software.
Originally pioneered by Palantir, the FDE model has spread across AI, enterprise SaaS, and cloud infrastructure companies. FDEs write production code, architect integrations, train customer teams, and feed product insights back to the core engineering organization. At companies like OpenAI, Salesforce, and Databricks, FDE teams are treated as elite engineering units that can ship custom solutions in days rather than quarters.
Typical FDE stack: Python, TypeScript, SQL, REST/GraphQL APIs, cloud platforms (AWS/GCP/Azure), and increasingly LLM APIs and AI orchestration frameworks. Strong communication and the ability to context-switch between technical and business conversations are as important as coding ability.
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