What does a Forward Deployed Engineer do at Concourse?

Forward Deployed Engineers at Concourse 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 Product Manager role?

The Forward Deployed Product Manager role at Concourse 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 Concourse remote?

Remote availability varies by Concourse 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.

Concourse

Forward Deployed Product Manager

$140K - $180K Remote Mid Posted June 03, 2026

Apply on Indeed All FDE Jobs

Role Description

Why This Role -----------------

Own the P&L - Expand beyond traditional PM metrics to manage a full P&L for AI-driven government solutions.

AI-Native Product - Everyone on our team uses Claude Code every day, build products at the frontier of AI capability.

Ground Floor Opportunity - Join an early stage startup led by a repeat found with a successful exit.

Transform Government - Build products that replace legacy systems and directly improve public services for citizens.

What You'll Do ------------------

Define and implement AI-driven solutions that transform public sector operations

Work directly with government clients to understand their workflows and translate them into product requirements

Own the product roadmap and prioritization for government-facing solutions

Build software using Claude Code and other AI tools

Manage a P&L, not just engagement metrics—own the business outcomes of your product area

Create an AI-native product development process that's lean, fast, and scalable

What We're Looking For --------------------------

High-agency, high-velocity mindset with an exceptional work ethic

Early-stage startup experience

Ideally 6+ years of experience in product management

Strong relationship-building skills with public sector customers

AI-native approach to product development

Deep intuition for what AI can and will be able to do—you extrapolate capability curves forward

Extensive experience with AI coding tools (Claude Code, Cursor, etc.) strongly preferred

Passion for improving the public sector with cutting-edge tech

Based in or willing to relocate to NYC for in-office work

About Concourse -------------------

Concourse is an early-stage, fast-growing startup building AI-powered software for state and local governments. This is the CEO's second venture after a successful exit.

We sell technology to state and local governments, aiming to improve public services by replacing legacy, inefficient systems. The core problem we address is the disconnect between tax payments and perceived government inefficiency—often due to outdated technology.

We're building an AI-native company where every team member is empowered to use AI tools like Claude to automate their work. Our team has a hub in Flatiron, NYC, and we support remote roles where it fits the role.

Compensation Range: $140K - $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.