Founding Forward Deployed Engineer

Codos, Inc.; City of Amsterdam (NY); Hybrid; USD 150,000 - 210,000; Full time

Benefits offered by this job

Competitive compensation and equity

No limit on AI tools: models, tokens

Offsites and business trips

Job summary

Codos, Inc. is seeking a forward deployed engineer to lead the deployment of the Virtual Chief AI Officer and Company Brain inside client organizations. You will own the integration, access setup, and adoption by client teams.

You will travel for kickoffs, work with heads of functions to embed workflows, and turn your reusable patterns into platform components, shaping how AI is installed and used at scale.

Qualifications

• Worked on applied AI in-house or at an AI deployment company.
• Experience at Speedrun, YC or other early-stage startup.
• Has a proven AI implementation delivering $1M+ impact.
• Can explain architecture to a CTO and financial trade-offs to a CFO.
• Capable of handling multiple clients and traveling for key moments.

Responsibilities

• Owning the technical deployment of Codos Virtual Chief AI Officer and Company Brain, from kickoff and system setup to daily use by the client’s teams
• Connecting approved sources such as Slack, email, calls and documents to Company Brain, configuring access and checking that its answers reflect the client’s business
• Setting up Virtual Chief AI Officer around the client’s goals and workflows, validating diagnostic findings and turning prioritized opportunities into a build plan
• Building and evaluating agents, MCP servers, skills and integrations that use Company Brain to run workflows across finance, sales, support, HR and engineering
• Working with function heads to get those workflows into daily use, resolve deployment issues and review the results
• Turning the integrations, skills and deployment patterns you build repeatedly into reusable parts of the platform

Skills

AI deployment experience

Technical leadership

Client delivery

Tools

Systems integration

Job description

Deploy Codos Virtual Chief AI Officer and Company Brain inside client organizations.

What you'll work on here

• Owning the technical deployment of Codos Virtual Chief AI Officer and Company Brain, from kickoff and system setup to daily use by the client’s teams
• Connecting approved sources such as Slack, email, calls and documents to Company Brain, configuring access and checking that its answers reflect the client’s business
• Setting up Virtual Chief AI Officer around the client’s goals and workflows, validating diagnostic findings and turning prioritized opportunities into a build plan
• Building and evaluating agents, MCP servers, skills and integrations that use Company Brain to run workflows across finance, sales, support, HR and engineering
• Working with function heads to get those workflows into daily use, resolve deployment issues and review the results
• Turning the integrations, skills and deployment patterns you build repeatedly into reusable parts of the platform

Ideal profile

• Previously worked on applied AI in-house or at an AI deployment company.
• Worked at a Speedrun, YC or other early-stage startup.
• Has a proven AI implementation success case that delivered $1M+ in impact.

What you bring to the table

• You have deployed AI systems inside companies and owned the integrations, access setup and work needed to get people using them
• You are a strong engineer who has led technical delivery for demanding customers, as a founder or CTO, a forward deployed or solutions engineer, or an engineering lead
• You can explain an architecture to a CTO and a trade-off to a CFO on the same day
• You get things done inside a large client where nobody owes you access, data or time
• You have built a function or a client practice from nothing, not taken over a running one
• You can carry one or two clients at a time and travel for kickoffs and key moments

Why you should join our delivery team

Today a handful of people carry all client work, and every client is a multi-year relationship with direct access to the CEO and the executive team. You will be one of the first forward deployed engineers, so the playbook, the tooling and the way this function works will be shaped by you.

You will shape how our product is installed, trusted and used inside a company. The integrations, skills and deployment patterns you develop feed back into the platform, so your work at one client makes the next deployment better.

This is the first of several forward deployed hires, and there is room to lead the function as it grows.

Company Benefits

• Competitive compensation and equity
• No limit on AI tools: models, tokens and whatever your setup needs
• Offsites and business trips

We help large companies become self-evolving organizations.

• Real impact: We generate millions of dollars of impact for NASDAQ-listed and PE-backed clients, and we are going after the $500B services industry with software.
• Small team, huge impact: We are fewer than ten people, backed by a16z speedrun. The team is ex-McKinsey, ex-Meta ML and ex-Tesla, and the founders have run companies before: Dima scaled Everclear to $1B in monthly volume as CEO. Each new hire changes the company's trajectory.
• Client impact first, AI-native: We measure ourselves by the money a client saved or earned. Everyone here builds their own agents, and the company runs on its own company brain, the same way we teach clients to work.

Demand is ahead of our headcount, and we are hiring to close that gap.