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Sales Engineer

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Published
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2Application actions
23 Sep 2026Apply before
Opportunity details

About this role.

AI Summary

Brain Co. is hiring a Sales Engineer to lead technical discovery, solution design, demonstrations, proofs of concept, and proposal support for US public-sector AI opportunities. The role bridges government stakeholders, GTM teams, and deployed engineering, with ownership of technical narratives involving integrations, data governance, FedRAMP, ATO processes, and pilot success criteria. Candidates need 5+ years of customer-facing technical experience and demonstrated knowledge of public-sector procurement, government cloud, AI/ML systems, APIs, and compliance requirements. This is a highly field-oriented position requiring approximately 50% travel to government partners and company offices across the US.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

5/5
EasyHard

Pace & Pressure

5/5
RelaxedFast-paced

Autonomy Level

5/5
GuidedFull ownership

Communication Load

5/5
IndependentCollaborative
AI insightThe role combines advanced technical solutioning with complex government procurement and security requirements. Success depends on independently shaping credible AI architectures, building prototypes, and influencing both technical and executive stakeholders through long deal cycles.

Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job medianMarket rate
$175,000
US market range$140k–$220k
AI insightNo actual salary range is disclosed; "competitive salary plus equity" is not a quantifiable compensation offer. Estimated US annual base-salary market range for a mid-to-senior public-sector Sales Engineer with AI, security/compliance, and government-procurement expertise is $140,000-$220,000 USD, with an estimated midpoint of $175,000; variable compensation and equity may be additional.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
How would you approach technical discovery with a federal agency that has a broad but poorly defined AI modernization objective?

I would begin by identifying the agency mission outcome, priority workflow, stakeholders, existing systems, data sources, security constraints, and measurable success criteria. I would narrow the conversation to a high-value, feasible pilot, document assumptions and dependencies, and translate findings into a phased solution architecture and implementation plan.

Describe how you would explain an AI solution to both a CIO and the operational team that will use it daily.

For the CIO, I would focus on mission impact, security posture, integration strategy, governance, scalability, and delivery risk. For operators, I would demonstrate the concrete workflow, required inputs, human controls, exception handling, and time or quality improvements, using their terminology and real scenarios.

What technical considerations would you assess before proposing a proof of concept in a FedRAMP- or ATO-sensitive environment?

I would assess authorization boundaries, data classification, hosting environment, identity and access management, audit logging, encryption, model and data governance, integration pathways, and inherited controls. I would also define the POC scope so it can validate mission value without creating an unmanageable authorization burden or unsupported production expectations.

How would you handle a situation where a customer asks for a capability that engineering cannot reliably deliver within the proposed pilot timeline?

I would be transparent about the constraint, clarify the underlying customer outcome, and propose an achievable alternative that proves the highest-value assumption. I would align the customer, GTM team, and engineering on scope, risks, acceptance criteria, and a roadmap for any follow-on capability rather than overcommitting.

How do you make a technical proposal compelling in a competitive government procurement process?

I tie every technical claim directly to the agency mission, evaluation criteria, and operational constraints. A strong proposal presents a credible architecture, clear security and integration approach, measurable pilot outcomes, realistic delivery milestones, and evidence that the team understands the agency's environment better than competing vendors.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.

Our Mission

Rebuild how the world works, to make institutions work better for the people they serve.

About Brain Co.

Brain Co. builds AI-native operating systems for large, regulated institutions. Each system is built for a specific industry, powered by agents that push real workflows forward. Underneath it all is Atlas, our proprietary platform that keeps customers in control, secure by design, and never locked into one model.

Why Now

Brain Co. is entering its next phase of production deployments on a national scale with an elite team built from Palantir, Google, Meta, and Nvidia, and a growing footprint across government, insurance, health, and financial services.

Joining now means shaping both the company and a new category of applied AI. Every project here ships to production and is expected to create measurable customer value and impact.

You’ll work alongside exceptional peers on some of the hardest problems in applied AI. It’s the kind of work you’ll still be proud of in ten years from now.

About the Role

We’re hiring a Sales Engineer to be the technical force behind how Brain Co. wins new business in the US government space. You’ll travel with our GTM teams into the room — federal agencies, state and local governments, and public sector institutions — and turn ambitious mission problems into concrete, credible AI solutions that close deals.

This is not a demo-from-a-script role. Government buyers are sophisticated, their problems are messy, and procurement cycles are won by the team that understands the agency’s mission and constraints best. You’ll be the bridge between what agencies need and what our engineers build — shaping solution architectures, scoping pilots, and giving government decision-makers the confidence to bet on Brain Co.

What You’ll Do

  • Travel with GTM teams to agency sites across the US, serving as the technical lead in pursuit of new government business

  • Run discovery with agency leaders, program offices, and technical staff to map mission workflows, data landscapes, and constraints — then translate them into actionable solution designs

  • Build and deliver compelling demos, proofs of concept, and technical proposals tailored to each agency’s real mission problems

  • Own the technical narrative through the deal cycle: solution architecture, security and compliance requirements (FedRAMP, ATO processes, data governance), integration scoping, and pilot success criteria

  • Support capture and proposal efforts with technical volumes, responses to RFIs/RFPs, and architecture documentation

  • Partner with Deployed Engineering to ensure what we sell is what we ship — and that pilots convert to long-term production deployments

  • Feed customer insight back into product: what’s blocking deals, what’s resonating with agencies, and where the next mission opportunities are

  • Help build the government sales engineering playbook from the ground up — demo environments, technical collateral, and repeatable POC frameworks

You Might Be a Great Fit If you:

  • You bring 5+ years in sales engineering, solutions architecture, forward-deployed engineering, or a similar customer-facing technical role

  • You have experience selling into the US public sector — federal, state, or local — with working knowledge of government procurement, contract vehicles, and security/compliance frameworks (FedRAMP, IL levels, ATO)

  • You have technical depth to be credible with agency engineers and CIOs alike: comfortable discussing AI/ML systems, APIs, data integration, and government cloud environments

  • You’re hands-on enough to build — you can stand up a demo, script a prototype, or debug a POC without waiting on someone else

  • You’re a natural communicator who can distill complex AI capabilities into clear mission value for agency executives and program operators

  • You are willing and excited to travel extensively across the US — you do your best work in the field, alongside customers

  • You are eager to own problems end-to-end and willing to acquire any necessary knowledge to get the job done

  • Regular travel (~50%) to government partners and Brain Co. offices will be expected

Why Join Us:

  • Work alongside senior engineers from Tesla, DeepMind, Databricks, and other top engineering orgs.

  • Ship fast, learn constantly, and see your work protect production systems used by millions.

  • Earn competitive compensation and meaningful equity in a high-growth company.

Benefits

  • Competitive salary plus equity

  • Daily lunches

  • Commuter benefits

  • 401(k)

  • Medical, Dental, and Vision

  • Unlimited PTO

Apply now >

This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content.

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