EP
Forward Deployed Engineer ($50M Series A)
Accepting applicationsEpic Placements · New York City Metropolitan Area
Full-Time Associate AIPythonaiate
Posted
1d ago
Category
Test
Experience
Associate
Country
N/A
Forward Deployed Engineer (AI Data Platform) $50M Series A Raise
SF or NYC (in-office) | $150K–$275K + equity
This is not a typical engineering role
Most engineers build products and hand them off.
This role sits at the edge of the product — where messy, real-world data meets high-stakes decisions.
You’ll work directly with some of the most sophisticated investors in the world — embedding into their workflows, understanding how they think, and building systems that actually get used.
If you like:
being close to the customer
solving ambiguous, real problems
and turning prototypes into production systems
this is that role.
What You’ll Actually Do
This is a mix of builder, problem solver, and technical partner.
Build custom solutions on top of customer data (PDFs, Excel, databases — all of it)
Connect structured + unstructured data into usable systems
Create and run live demos on real customer data (often to senior stakeholders)
Work alongside engineers to implement integrations and iterate quickly
Sit directly with users, understand workflows, and translate that into product direction
Decide what gets productized vs. what stays bespoke
- You’re not just supporting the product — you’re shaping it.
What They’re Looking For
This role is selective — it requires a specific type of engineer.
You likely have:
3–8 years in a technical, customer-facing role (FDE, Solutions Engineer, SWE with customer work)
Strong fundamentals in Python + SQL
Experience working with messy, real-world data
Comfort navigating codebases and building quickly (often with modern AI tools)
Strong communication — you can explain complex systems simply
Strong Signals
Experience at early-stage or AI-native startups
Exposure to data platforms, infrastructure, or developer tools
Background working with enterprise customers
Familiarity with AI/LLM workflows (RAG, embeddings, etc.)
Interest or experience in financial systems
What Makes This Role Different
You’ll work directly with founders and early engineers
You’ll be embedded with customers — not removed from them
The problems are messy, high-stakes, and unsolved
You’ll influence what the product becomes, not just how it’s delivered
What This Role Is Not
Not a pure SWE role sitting behind a roadmap
Not a traditional solutions engineer role with scripted demos
Not a place for someone who needs structure or clear boundaries
Why This Role
Early-stage company with strong backing and real traction
Small team, high ownership, fast iteration
Opportunity to define the technical go-to-market function from scratch
Direct exposure to customers and real-world impact
Compensation
$150K–$275K base
Competitive equity
In-office in SF or NYC
Show more Show less
SF or NYC (in-office) | $150K–$275K + equity
This is not a typical engineering role
Most engineers build products and hand them off.
This role sits at the edge of the product — where messy, real-world data meets high-stakes decisions.
You’ll work directly with some of the most sophisticated investors in the world — embedding into their workflows, understanding how they think, and building systems that actually get used.
If you like:
being close to the customer
solving ambiguous, real problems
and turning prototypes into production systems
this is that role.
What You’ll Actually Do
This is a mix of builder, problem solver, and technical partner.
Build custom solutions on top of customer data (PDFs, Excel, databases — all of it)
Connect structured + unstructured data into usable systems
Create and run live demos on real customer data (often to senior stakeholders)
Work alongside engineers to implement integrations and iterate quickly
Sit directly with users, understand workflows, and translate that into product direction
Decide what gets productized vs. what stays bespoke
- You’re not just supporting the product — you’re shaping it.
What They’re Looking For
This role is selective — it requires a specific type of engineer.
You likely have:
3–8 years in a technical, customer-facing role (FDE, Solutions Engineer, SWE with customer work)
Strong fundamentals in Python + SQL
Experience working with messy, real-world data
Comfort navigating codebases and building quickly (often with modern AI tools)
Strong communication — you can explain complex systems simply
Strong Signals
Experience at early-stage or AI-native startups
Exposure to data platforms, infrastructure, or developer tools
Background working with enterprise customers
Familiarity with AI/LLM workflows (RAG, embeddings, etc.)
Interest or experience in financial systems
What Makes This Role Different
You’ll work directly with founders and early engineers
You’ll be embedded with customers — not removed from them
The problems are messy, high-stakes, and unsolved
You’ll influence what the product becomes, not just how it’s delivered
What This Role Is Not
Not a pure SWE role sitting behind a roadmap
Not a traditional solutions engineer role with scripted demos
Not a place for someone who needs structure or clear boundaries
Why This Role
Early-stage company with strong backing and real traction
Small team, high ownership, fast iteration
Opportunity to define the technical go-to-market function from scratch
Direct exposure to customers and real-world impact
Compensation
$150K–$275K base
Competitive equity
In-office in SF or NYC
Show more Show less