Forward Deployed Engineer

This is a high-impact technical role at a well-funded AI data platform serving the alternative investments space, including private equity, private credit, and venture capital firms. You will own the full technical customer relationship, bridging pre-sales engineering and post-sales implementation to drive measurable outcomes for some of the most demanding data users in finance. What You’ll Do

• Build and demo custom solutions directly on customer data, connecting structured and unstructured sources such as PDFs, spreadsheets, and databases.
• Own pre-sales technical work: create reusable demo environments, run private demos on prospect data, and shape deal strategy alongside the go-to-market team.
• Support post-sales implementations, including data integrations, evaluations, and feedback loops in collaboration with product engineers.
• Manage technical relationships at customer firms, sitting alongside analysts to understand their workflows firsthand.
• Translate recurring customer patterns into product insights, identifying what should be productized versus handled as a one-off solution.

• 3 or more years of professional experience as a full-stack or backend software engineer, shipping production systems.
• Strong proficiency in Python and SQL, with comfort navigating codebases and working with unstructured data.
• Direct customer-facing technical experience in a revenue-generating capacity, such as solutions engineering, field development, or technical account management.
• Track record of working in early-stage or AI-native companies, demonstrating an ability to build in ambiguous, resource-constrained environments.
• Solid grasp of AI and ML concepts including RAG, embeddings, LLMs, vector databases, and agentic workflows, plus the communication skills to explain them to non-technical stakeholders.
• Evidence of revenue impact or direct involvement in sales cycles, not just a purely technical perspective on customer work.
• Strong CS fundamentals, ideally backed by a technical degree.
• Exposure to or genuine interest in financial services, particularly alternative asset management workflows.