Forward Deployed Engineer

Rubie•New York City, NY

8d•Onsite

About The Position

Rubie helps high-growth companies migrate their customer data autonomously, enabling customer onboarding in hours instead of weeks. The company addresses the pain of setting up ERPs, CRMs, and other systems-of-record by automating the ingestion, mapping, and cleaning of legacy data. Rubie's solution combines agentic infrastructure, AI-assisted transformation, and a focus on action to unblock customer-success teams. The company is experiencing rapid growth, backed by significant investment, and is seeking individuals to scale the post-sales team to ensure fast and frictionless customer onboarding, expand Rubie's use cases, and maintain customer satisfaction. The Forward Deployed Engineer is the primary technical point of contact for customers, responsible for their onboarding and integration success. This role involves managing stakeholders and timelines, providing technical feedback to the engineering team, designing and building custom data migration playbooks, and anticipating customer needs. The role requires a deep understanding of data models and comfort with data manipulation, though extensive coding experience is not mandatory. The goal is to ensure 100% customer retention and satisfaction by effectively addressing technical challenges and customer requirements.

Requirements

At least 1 year of software development experience.
Comfortable writing and modifying scripts.
Comfortable debugging technical and data-related customer issues.
Comfortable reasoning about APIs and data models.
Comfortable dissecting ambiguous data requirements.
High-ownership operator: You run toward fires and stay until they’re out.
NYC-based (or willing to relocate).

Nice To Haves

Experience with browser/web automation tooling.
Experience as an onboarding engineer, implementation engineer, forward-deployed engineer, solutions architect, or solutions engineer.

Responsibilities

Manage stakeholders and timelines to ensure quick adoption.
Provide technical feedback to the engineering team on potential issues or bottlenecks.
Design and build custom data migration playbooks (coding not required, but understanding of data models and comfort with data manipulation is a must).
Anticipate any new needs, expansion or challenges.
Guarantee 100% retention: You own the metric. Whatever it takes.
Dive into datasets: make sense of them, manipulate them, map them. You need to be as comfortable with unstructured data as you are with VLOOKUPs on massive datasets.
Design and execute playbooks: Use our platform to create data migration playbooks and use every tool at your disposal to unblock weird edge cases.
Operate in the field: Pair with product and engineering; jump on calls; debug live; be willing to hop on a plane when needed; communicate clearly under pressure.
Feed the roadmap: Translate frontline chaos into crisp product requirements and implementation guides for the core engineering team.
Tackle “impossible” projects: When a customer’s need looks hopeless, you volunteer first, and then deliver.
Be the primary point of contact for high-stakes customers: from non-technical ops teams living in spreadsheets to deeply technical stakeholders, often under real time pressure (live migrations, sales deadlines, post-acquisition cleanups), where data accuracy and clear communication are non-negotiable.