What does a Forward Deployed Engineer do at Growth Protocol?

Forward Deployed Engineers at Growth Protocol are embedded directly with enterprise customers to implement and customize the platform, build integrations, and solve technical problems in real-world client environments. They combine software engineering skills with direct customer interaction, writing production code while also serving as the primary technical point of contact.

What skills are required for this Forward Deployed Engineer role?

The Forward Deployed Engineer role at Growth Protocol typically requires strong software engineering skills (Python, TypeScript, SQL), experience with APIs and system integration, comfort with cloud platforms, and the ability to communicate complex technical topics to non-technical stakeholders. Most FDE roles require 3-7 years of engineering experience.

Is this Forward Deployed Engineer position at Growth Protocol remote?

Remote availability varies by Growth Protocol FDE role. Some positions are fully remote, others require travel to customer sites, and some are hybrid. Check the full job description above for the specific location requirements for this posting.

Growth Protocol

Forward Deployed Engineer

$150K - $180K Remote Mid Posted May 01, 2026

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Role Description

ABOUT THE COMPANY

Growth Protocol is an Enterprise Reasoning Platform headquartered in New York. We help enterprises turn strategy into action by combining a neuro-symbolic reasoning core, seamless data activation, and agentic workflows. Our platform reduces execution drag, accelerates growth, and delivers measurable business outcomes for some of the world’s most complex organizations.

JOB DESCRIPTION

We are looking for Forward Deployed Engineers — elite technologists who embed directly with our clients to tackle their most critical growth challenges. In this role, you’ll work side-by-side with executives, engineers, and our Tier 1 consulting partners to design, deploy, and scale AI-powered workflows that transform how enterprises operate.

In this role, you will own the solution end-to-end: uncovering opportunities, architecting integrations, orchestrating AI models, and proving measurable ROI in weeks, not months. This is a high-impact, high-visibility position at the intersection of technology, strategy, and execution.

OBJECTIVES OF THE ROLE

Lead end-to-end technical delivery for enterprise engagements, from discovery through deployment.
Embed with client teams to scope high-value workflows, architect integrations, and orchestrate AI models.
Act as the technical counterpart during onboarding and proof-of-value phases — ensuring fast time-to-value and successful go-lives.
Partner with internal Product, Data Science, and Backend teams to deliver scalable, explainable, and reliable AI integrations.
Collaborate with strategic consulting partners to align technical efforts with client business goals and expansion opportunities.
Capture learnings and build reusable patterns, documentation, and internal playbooks to accelerate future deployments.
Communicate effectively with senior executives, advocating for optimal AI workflow strategies while gathering feedback for continuous improvement.
Partner with sales and customer success to ensure smooth onboarding, adoption, and expansion of workflows.

MINIMUM QUALIFICATIONS

5+ years in a hybrid technical + client-facing role (e.g., Solution Architect, Forward Deployed Engineer, AI/ML Systems Engineer, Technical Consultant).
Experience deploying AI/ML workflows or intelligent applications (LLMs, RAG, forecasting, symbolic reasoning, etc.).
Strong coding background in Python, plus familiarity with GCP, Docker, FastAPI, LangChain/LangGraph, Elasticsearch, Snowflake, BigQuery.
Experience with data pipelines and distributed systems in production environments.
Proven ability to translate complex business challenges into structured technical solutions.
Strong analytical and problem-solving skills, with experience building repeatable, scalable processes.
Exceptional verbal and written communication skills, including leading executive-level discussions and technical design sessions.

PERKS

Competitive compensation and equity in a rapidly growing company
100% Company Paid Health, Dental, and Vision Insurance
401K Matching
Remote or Hybrid Work Schedule (Office located in Flatiron District, New York, NY)
Pet-friendly office

This role can be based out of our New York office or performed fully remotely in the United States or Canada.

Compensation Range: $150K - $180K

About Forward Deployed Engineering

Forward Deployed Engineers are embedded directly with customers to build custom solutions, integrate products into existing infrastructure, and bridge the gap between product engineering and customer success. The role combines deep technical skills with the ability to operate in client environments and translate business requirements into working software.

Originally pioneered by Palantir, the FDE model has spread across AI, enterprise SaaS, and cloud infrastructure companies. FDEs write production code, architect integrations, train customer teams, and feed product insights back to the core engineering organization. At companies like OpenAI, Salesforce, and Databricks, FDE teams are treated as elite engineering units that can ship custom solutions in days rather than quarters.

Typical FDE stack: Python, TypeScript, SQL, REST/GraphQL APIs, cloud platforms (AWS/GCP/Azure), and increasingly LLM APIs and AI orchestration frameworks. Strong communication and the ability to context-switch between technical and business conversations are as important as coding ability.