Senior Solutions Engineer

Forward Deployed Engineer/Solutions Engineer – Startup - San Francisco

Forward Deployed Engineer/Solutions Engineer/Sales Engineer, TAM) or as a software engineer with significant customer-facing work is required by a $50M Series A AI data platform for investors with offices in San Francisco and New York City. The successful candidate will embed directly with private equity, private credit, and venture capital firms — building custom integrations on their data, demoing complex data infrastructure to C-level stakeholders, and driving real outcomes alongside company’s founders and engineers.

Requirements

• 3-8 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 genuinely curious about 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.

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.
• Turn what you build for one customer into something that benefits everyone — ship the best integrations and patterns into the platform and develop playbooks that scale every future engagement.

Perks \& Benefits

• Health \& Wellness: Comprehensive medical, dental, and vision insurance
• Future Planning: 401(k) plan including employer match on contributions made while employed by the company.
• Time Off: Unlimited PTO policy—we trust you to take the time you need to recharge
• Food \& Fuel: Monthly commuter stipend, plus free daily lunch and a fully stocked snack bar in the office
• Team Culture: Regular team offsites to bond and strategize away from the desk

Join an exciting company with many opportunities to progress your career. Send your CV for immediately review and further details.