All remote jobs

Account Executive, Financial Services

AI Summary
Brain Co. is seeking a senior Account Executive to build its financial-services business and close complex AI technology engagements. The role owns the full enterprise sales cycle, from creating demand and qualifying opportunities through value-case development, negotiation, and delivery handoff. Candidates need deep financial-services domain knowledge, a record of multimillion-dollar custom technology sales, and the ability to work credibly with technical, product, legal, and procurement stakeholders. The position is especially suited to a highly autonomous seller who can establish an early-stage commercial motion while translating recurring buyer needs into product strategy. Remote work is available in the United States, with expected travel to the San Francisco office one to two times monthly.
Remote from
USA
Salary
Undisclosed
Department
Sales
Employment
Full Time
Experience
Director
Published
Apply before
4 Dec 2026
Listing views
28
Application actions
1
Application toolkit

Make your next move.

Prepare your resume, explore your fit, and draft a cover letter for this opportunity.

Opportunity details

About this role.

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.

Why Brain Co.

You’ll help build the financial-services business alongside the people developing and deploying the products. Your judgment will help determine which opportunities we pursue, how we win them and which recurring customer needs should shape the product.

Brain Co. builds AI systems that help large, regulated institutions carry out complex work. Our mission is to rebuild how the world works, to make institutions work better for the people they serve.

About the Role

Build Brain Co.’s financial services business, from the first buyer conversation to a signed engagement. You’ll originate opportunities and lead consultative sales through close, working with the GM of Financial Services, product, engineering and deployment teams.

Our priority markets are banking & lending, asset & wealth management, and real estate investors. The work spans complex investment and core operational processes where agentic orchestration of people and data can dramatically improve speed, quality and business outcomes.

What you’ll own

  • Create demand. Help shape our pitch and narrative, open doors and build a pipeline through targeted outreach, executive and industry relationships, partners, conferences and events. Choose the right accounts, earn substantive meetings and turn follow-up into sales qualified opportunities.

  • Discover and qualify. Convert marketing-generated and self-sourced leads into sales-qualified opportunities. Test the problem, economics, buyer, funding path and timing; know when to pursue, nurture or decline. Bring technical partners in early on data, security and implementation constraints.

  • Build the value case. Establish the customer’s baseline and agree what improvement matters. Build clear briefs and proposals, partner with product and deployment on tailored demonstrations, and test the economic assumptions.

  • Lead the deal through close. Coordinate buyer and internal teams through scoping, pricing, security and legal review, procurement and negotiation. Validate commitments with product and deployment owners, then carry agreed scope, success measures and assumptions into a clear delivery handoff.

  • Inform what gets built. Distill recurring prospect needs, buying signals, objections and product gaps into recommendations for product strategy and roadmap priorities.

  • Build a repeatable sales motion. Keep account plans and forecasts accurate, learn from wins and losses, and create materials and practices that improve the next pursuit.

What you’ll bring

  • 10+ years of relevant experience. You bring experience in enterprise sales, business development or management consulting, with direct accountability for originating opportunities and independently driving complex commercial engagements through close.

  • Complex multimillion-dollar closes. You’ve personally sold and closed custom technology deployments or tailored technology engagements, shaping bespoke solution scope, navigating implementation tradeoffs, building a quantified value case, negotiating contracts and aligning delivery commitments.

  • Financial-services sales and domain depth. You’ve sold into financial services and can speak credibly about banking & lending, asset & wealth management, and real estate investing. You bring deep expertise in at least one of these markets.

  • Practical AI and technical fluency. You use AI in your own work, verify its outputs and can discuss data, integrations, evaluation and human oversight with buyers and technical partners.

  • Commercial judgment and execution. You create access, write clearly, put compelling materials together and keep several pursuits moving. You lead across teams without formal authority and do the detailed work yourself.

Bonus Points for

  • Experience selling AI products. You’ve won business for AI products or solutions and understand how customers evaluate, buy and deploy them.

  • Entrepreneurship. Experience building commercial motion and trusted relationships in a 0->1 startup environment.

Location and Travel

San Francisco, New York, or Remote. Remote candidates should be comfortable traveling to our San Francisco office 1–2 times per month.

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.

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 insightThis is a high-stakes enterprise sales role requiring independent origination and ownership of bespoke, multimillion-dollar AI deployments in regulated financial-services markets. Success depends on navigating lengthy, cross-functional buying processes while influencing both customer decisions and internal product priorities.

Salary analysis

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

Estimated job median (per year)Market rate
$225,000
US market range (per year)$175k–$300k
AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. No employer salary was disclosed. Annual compensation estimates are inferred for a senior US enterprise Account Executive selling AI solutions into financial services; actual pay may vary substantially based on base-versus-variable mix, location, quota, and equity.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
Describe a multimillion-dollar technology engagement you originated and closed in financial services.

I would explain the account-selection rationale, how I gained executive access, the customer problem and quantified value case, the stakeholders involved, and how I navigated technical, security, procurement, and legal reviews. I would conclude with the commercial result, delivery handoff, and lessons applied to later pursuits.

How do you qualify whether an AI opportunity in a regulated institution is worth pursuing?

I assess the workflow pain, measurable economic impact, executive sponsor, budget path, urgency, data availability, security requirements, implementation feasibility, and decision process. I involve technical partners early to validate integration and governance constraints, then decide whether to pursue, nurture, or decline based on evidence.

How would you build a value case for an agentic AI deployment at a wealth-management firm?

I would establish a baseline for the targeted workflow, such as turnaround time, advisor capacity, error rates, compliance effort, or client-service outcomes. I would model the expected improvement, validate assumptions with business and technical owners, define success metrics, and align the proposal to a phased implementation plan.

How do you handle buyer concerns about AI accuracy, oversight, and data security?

I address concerns directly by understanding the specific risk scenario and bringing the appropriate product and technical experts into the discussion. I explain evaluation methods, human-review controls, access boundaries, auditability, integration architecture, and how the proposed scope manages risk without obscuring limitations.

How have you turned sales feedback into product strategy or roadmap recommendations?

I synthesize repeated buyer requests, objections, lost-deal reasons, implementation barriers, and market signals into structured evidence. I distinguish one-off requests from recurring patterns, estimate commercial impact, and present clear recommendations to product leadership with supporting customer context.

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

Apply now.

Follow the employer’s application method and review Jobicy’s safety guidance before sharing personal information.

Did you apply?Let us know, and we’ll help you track your application.

Continue on the employer website

Protect your personal information and never pay to secure an interview or job offer. .

Log in to save
One quick step before you apply

Sign in to continue.

Sign in or create a free account to continue to the employer's application.

Add alert
Jobs Talent AI Tools Salaries
Menu