Washington, District of Columbia, United States · Hybrid
$200k–$260k/yr
Mid level$15M raised
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Washington, District of Columbia, United States · Remote OK
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Washington, District of Columbia, United States · On-site
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Washington, District of Columbia, United States · Hybrid
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$200k–$260k/yr
Full-time
Equity, Annual merit refreshes
Posted 11d ago
~40 hrs/week
Responsibilities
The Forward Deployed Engineer Lead will work onsite with customers to configure, optimize, and support software while translating user feedback into product improvements. They will also lead a growing team of engineers and contribute to company strategy and culture.
Requirements
Candidates must have 3+ years of professional software engineering experience, proficiency in Python and TypeScript, and an active DoD TS or TS/SCI clearance. US citizenship is required due to government contract obligations.
Full job description
Introduction
We value candidates who have significant experience with managing complexity, working independently, and are motivated by hard problems.
What We Offer
The ability to have real impact on mission-critical workflows
The chance to use state-of-the-art tech to solve novel problems with mission partners
The opportunity to define your role through time as we grow
Competitive salary and equity upside with annual merit refreshes based on impact
Position Overview
As an FDE lead, you will set the example of what being an FDE means at ConductorAI, and help to empower and lead our growing FDE team. You will sit at the intersection of engineering and customer partnership. You will be onsite with customers regularly, building trust, diagnosing needs, and translating user feedback directly into product improvements. You are still fundamentally an engineer: you will write code, debug systems, and help shape the architecture of a platform built to leverage LLMs and modern AI application techniques. But you are equally comfortable in a customer briefing room as you are in a terminal.
This role is for someone who finds it energizing to own the full loop: understand the problem, build the solution, deploy it, and watch it create value for users in real time. You should be comfortable with ambiguity, have a bias for action, and take pride in the quality and reliability of what you ship. You will work on a small, tight-knit team and will be expected to communicate complex technical concepts clearly to users and stakeholders with varying levels of technical fluency.
As an early team member, you will also help shape our culture, processes, and product direction. We expect you to measure your work by impact, not activity.
Location
Washington, DC area. Up to 50% travel domestically and OCONUS.
Key Responsibilities
Go onsite to customer environments to configure, optimize, and support ConductorAI software, including customizing workflows for specific customer use cases and troubleshooting the system
Write and maintain production-quality code in Python and TypeScript within a small engineering team
Work directly with users to gather feedback, understand workflows, and translate insights into actionable product requirements
Debug and improve system reliability, performance, and usability based on real-world customer usage
Build and deliver technical demonstrations to new and existing customers
Collaborate with the product and engineering team to develop new features, with a direct line from customer need to shipped capability
Identify opportunities to automate manual processes and improve operational efficiency at customer sites
Help define and demonstrate what being an impactful FDE means at ConductorAI
Help lead a small and growing team of FDEs
As a core team member, contribute to company strategy, culture, and evolving responsibilities as we grow
Qualifications
US citizenship required by applicable federal law and government contract obligations (ITAR/EAR); we are unable to consider green card holders or sponsor visas for this role
Active DoD TS or TS/SCI clearance required at time of hire; required due to the classified nature of work performed under US government contracts
Experience in defense, intelligence, or national security environments
3+ years of professional software engineering or forward deployed engineering experience
Proficiency in Python and TypeScript
Experience working directly with end users or customers in a technical capacity
Strong written and verbal communication skills, including the ability to explain technical concepts to non-technical audiences
Comfort operating with high autonomy in ambiguous, fast-moving environments
Experience with LLMs and modern AI application techniques
Ability to travel up to 50% domestically and OCONUS
Desired Qualifications
Experience at an early-stage startup or in fast-moving, ambiguous environments
Background in system design or full-stack development
Existing relationships with DoD or civil agency stakeholders
Compensation
The base salary range for this role is $200,000-260,000, with the opportunity for meaningful equity commensurate with a Series A stage opportunity. Starting pay will be based on qualifications, experience, and location. This range reflects base salary only and does not include equity or other compensation components.
ConductorAI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, veteran status, genetic information, sexual orientation, gender identity, or any other characteristic protected by applicable law.
Organizations are full of rules. Following the rules to get something done in a bureaucracy is often a Sisyphean effort, even for those on the inside.
ConductorAI helps users in large organizations get to yes faster by leveraging the latest AI advancements to navigate paperwork, opaque processes, and everyday compliance challenges.
Offices: New York, NY, US · Washington, DC, US · Scarborough, Maine, US
How much do Engineering jobs in Washington, DC pay?
Based on 2273 listings with disclosed salaries, most engineering jobs in Washington, DC pay between $78k–$206k per year. Individual offers vary with seniority, company size, and specialization.
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