Forward Deployed Engineer

Wintermeyer Ventures; San Francisco (CA); On-site; USD 150,000 - 275,000; Full time

Benefits offered by this job

On-site in San Francisco

Job summary

Wintermeyer Ventures is hiring for a high-impact technical role in San Francisco. You will own the full technical customer relationship, bridging pre-sales engineering and post-sales implementation to drive measurable outcomes for demanding data users in finance.

We seek 3+ years of full-stack/backend experience, strong Python and SQL, and direct revenue-facing technical work. Familiarity with AI/ML concepts and financial services workflows is a plus.

Qualifications

• 3+ years as full-stack or backend engineer shipping production systems.
• Strong Python and SQL skills with unstructured data experience.
• Direct customer-facing technical experience in revenue contexts.
• Experience in early-stage or AI-native companies in ambiguous environments.
• Solid understanding of AI/ML concepts and ability to explain to non-technical stakeholders.
• Evidence of involvement in sales cycles or revenue impact beyond pure tech work.
• Strong CS fundamentals and a technical degree.
• Familiarity with financial services workflows is a plus.

Responsibilities

• Build and demo custom solutions on customer data across structured and unstructured sources.
• Own pre-sales technical work: create reusable demo environments and private data demos.
• Support post-sales implementations, including data integrations and feedback loops with engineers.
• Manage technical relationships at customer firms alongside analysts to understand workflows.
• Identify patterns to inform product decisions, distinguishing productized needs from one-offs.

Skills

Full-stack/backend engineering

Python

SQL

Customer-facing technology

AI/ML concepts (RAG, embeddings, LLMs)

Revenue impact / sales cycles

CS fundamentals

Financial services exposure (alt asset

Education

Technical degree

Job description

About the Role

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.

What We're Looking For

• 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.

Compensation & Benefits

Base salary range: $150,000 to $275,000 USD annually. Visa sponsorship is not available for this role.

Location

On-site in San Francisco, CA. Candidates must be based in or willing to relocate to San Francisco or New York City.