Forward Deployed Engineer
AI summary of the role
Founding Forward Deployed Engineer at an early-stage startup serving sophisticated investors.
What you’ll do
- Embed with customers to build custom integrations and pipelines on their data, and ship new workflows from the ground up.
- Troubleshoot and optimize retrieval quality, LLM performance, and data ingestion in live production environments.
- Partner with AI Deployment Managers to drive adoption and unlock new use cases.
- Act as the voice of the customer, surfacing platform gaps and building fixes yourself.
What you’ll bring
- 2–5+ years as a software engineer or technical customer-facing role (FDE, solutions engineer/architect, implementation engineer).
- Proficient in Python and SQL, comfortable with messy real-world data (PDFs, Excel models, inconsistent formats).
- Familiar with AI/ML concepts: RAG, embeddings, LLMs, retrieval systems.
- Customer-obsessed with high agency and a builder's mindset.
Technologies
Python · SQL · RAG · embeddings · LLMs · retrieval systems · data ingestion · pipelines · PDFs · Excel
Source and classification
Production engineering · Evidence for this classification:
The Role We're looking for founding Forward Deployed Engineers who thrive at the intersection of deep technical work and customer impact. You'll own the technical customer relationship post-sale, embedding in their workflows, building production-grade, deeply integrated solutions on their data, and driving real, meaningful outcomes. You'll see how investors actually work up close — their messy data environments, their internal systems, their workarounds — and translate what you learn and build into platform improvements that benefit every customer. You'll have real agency and impact, working directly alongside our founders and engineers to iterate fast and transform how the world’s most sophisticated investors work. What You'll Do Embed with customers — build custom integrations and pipelines on their data, in their environment, meet regularly to understand evolving needs and
More from the job description
The Role We're looking for founding Forward Deployed Engineers who thrive at the intersection of deep technical work and customer impact. You'll own the technical customer relationship post-sale, embedding in their workflows, building production-grade, deeply integrated solutions on their data, and driving real, meaningful outcomes. You'll see how investors actually work up close — their messy data environments, their internal systems, their workarounds — and translate what you learn and build into platform improvements that benefit every customer. You'll have real agency and impact, working directly alongside our founders and engineers to iterate fast and transform how the world’s most sophisticated investors work. What You'll Do Embed with customers — build custom integrations and pipelines on their data, in their environment, meet regularly to understand evolving needs and identify new opportunities, and scope, redesign, and ship new workflows from the ground up. Troubleshoot and optimize — debug retrieval quality, LLM performance, and data ingestion in live production environments. Partner with AI Deployment Managers to drive adoption and unlock new use cases. Act as the voice of the customer — surface platform gaps and themes before anyone else, and work with engineering and product to identify what should be productized. Often you'll build the fix yourself. Turn w [... source excerpt omitted ...] the best integrations and patterns into the platform, and develop playbooks that scale every future engagement. What You Have 2–5+ years as a software engineer or in a technical customer-facing role (FDE, solutions engineer/architect, implementation engineer) — ideally at a company where you shipped directly to customers. Strong technical foundation — proficient in Python and SQL, comfortable working across the stack and in messy real-world data environments (PDFs, Excel models, inconsistent formats). Familiar with AI/ML concepts — RAG, embeddings, LLMs, retrieval systems. You don't train models, but you debug and optimize them. Customer and outcome-obsessed — you're genuine [... source excerpt omitted ...] bout how customers' systems work, and you measure success by what changes for them, not by what you shipped. High agency and a builder's mindset — something breaks on-site with a customer, you fix it. You enjoy building solutions and figure things out without waiting to be told what to do. Strong communicator — you translate customer pain into engineering priorities and explain complex systems to non-technical stakeholders. Familiarity with financial services is a plus — you understand how investors use data, what due diligence looks like, and why data accuracy matters. Perks & Benefits Health & Wellness: Comprehensive medical, dental, and vision insurance Future Planning:
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