Founding Solutions Engineer

Executive Search Inc

San Francisco, United States of America

5 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Languages

English

Experience level

Intermediate

Compensation

$ 275K

Job location

San Francisco, United States of America

Tech stack

Microsoft Excel

API

Artificial Intelligence

Databases

Customer Data Management

Cursor (Graphical User Interface Elements)

Python

Machine Learning

SQL Databases

Systems Integration

Large Language Models

Stripe

Nintex

Data Management

Databricks

Job description

We are hiring a Founding Solutions Engineer (3-8 years experience). This is a high-ownership role at a $50M Series A company backed by Sequoia, Emergence, Stripe, and Conviction, where you will work directly with founders and engineers to build and scale the customer-facing technical function.

You will own the full technical customer lifecycle-from pre-sales demos to post-sale adoption-while working with some of the world's leading asset managers on real investor data.

What You'll Do

Build and deliver custom demos using real customer data (PDFs, Excel models, databases)
Own technical pre-sales cycles including POCs, discovery, and deal support
Work directly with customer data to configure integrations, workflows, and AI agents
Support post-sale adoption by partnering with engineering on integrations and implementations
Use AI tools (Cursor, Claude Code) to build lightweight internal tools and demo interfaces
Translate customer insights into product and engineering feedback loops

Requirements

3-8 years in a technical, customer-facing role (SE, SA, TAM, implementation engineer, or similar)
Experience at a startup or AI-native company (e.g., Databricks, Retool, dbt, n8n, C3 AI)
Strong hands-on ability with SQL, Python, APIs, and data workflows
Familiarity with AI/ML concepts (RAG, embeddings, LLMs, vector databases, agents)
Experience working with messy data (PDFs, Excel, unstructured sources)
Strong communication skills with a revenue-oriented mindset

What We're Looking For

Builders with startup experience and high ownership mindset
Engineers who enjoy working directly with customers and business impact
Candidates comfortable in ambiguous, fast-moving environments
Individuals excited to build a technical GTM function from scratch

Nice to Have

Experience in financial services (asset management, private equity, private credit)
Exposure to enterprise AI or data platforms
SWE background with transition into customer-facing roles