Job description

The Enterprise Account Executive (Financial Services) will report to the Director of Enterprise GTM and own revenue growth across a portfolio of Scale AI’s most strategic financial services customers and prospects. This role is focused on selling complex, agentic AI solutions -autonomous workflows powered by LLMs and human-in-the-loop systems - into large banks, insurers, asset managers, and fintechs. You will operate as a strategic partner to senior executives across the business, technology, and risk organizations - helping them reimagine core workflows (e.g., underwriting, fraud detection, KYC, claims, research, and operations) through AI agents. This is a highly consultative, technical enterprise sales role requiring deep domain fluency, executive presence, and the ability to navigate regulatory, security, and multi-stakeholder complexity. You will own the full customer lifecycle - from origination through close, deployment, and expansion - while acting as the quarterback across Solutions Engineering, Product, Research, and Delivery teams to land and scale high-impact AI programs. You Will: Own and expand relationships with the largest financial services institutions (banks, insurers, capital markets, fintech), focusing on high-impact, multi-year AI transformations Sell agentic AI solutions by mapping Scale’s capabilities to mission-critical workflows (e.g., underwriting, fraud, compliance, customer ops, investment research) Build trusted relationships with executive stakeholders (CIO, CTO, Chief Data/AI Officer, Heads of Risk/Operations/Lines of Business) and guide enterprise AI strategy Develop and execute multi-threaded account plans that drive net-new revenue, expansion, and long-term platform adoption Lead complex deal cycles, including business case development, ROI modeling, and mutual close plans across new business, renewals, and expansions Partner deeply with Solutions Engineering to shape and land technically credible pilots, POVs, and production deployments Navigate regulatory, security, and procurement processes unique to financial services environments Act as the voice of the customer internally—informing product roadmap, agent design, and vertical-specific solutions Maintain a strong command of pipeline, forecasting, and deal hygiene using Salesforce, Clari, and related tools Operate with urgency and precision in a fast-paced, highly cross-functional environment Ideally, You Will Have: 8–12+ years of enterprise sales experience, with significant focus on financial services (banking, insurance, capital markets, or fintech) Proven track record of closing and expanding large, complex, multi-million dollar enterprise deals within highly regulated environments Experience selling AI/ML, data platforms, or workflow automation technologies, with the ability to position agentic / LLM-driven solutions at a business and technical level Deep understanding of financial services workflows (e.g., underwriting, claims, fraud, KYC/AML, research, operations) and how technology transforms them Demonstrated success engaging and influencing executive stakeholders, including building and delivering compelling business cases and ROI narratives Strong command of enterprise sales methodology, including account planning, multi-threading, and disciplined forecasting Ability to navigate ambiguity, long sales cycles, and complex stakeholder landscapes with high ownership and resilience Excellent communication and storytelling skills across both technical and non-technical audiences High level of business acumen, technical curiosity, and a consultative, customer-first mindset Nice to Haves: Experience selling agentic AI, LLM platforms, or automation solutions into financial services Background working with or alongside risk, compliance, or data organizations within large enterprises Familiarity with regulatory considerations (e.g., model risk management, auditability, data privacy) in AI deployments Prior experience in high-growth or emerging technology environments Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $207,200 — $259,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

Requirements

Must-haves

Own and expand relationships with the largest financial services institutions (banks, insurers, capital markets, fintech), focusing on high-impact, multi-year AI transformations
Sell agentic AI solutions by mapping Scale’s capabilities to mission-critical workflows (e.g., underwriting, fraud, compliance, customer ops, investment research)
Build trusted relationships with executive stakeholders (CIO, CTO, Chief Data/AI Officer, Heads of Risk/Operations/Lines of Business) and guide enterprise AI strategy
Develop and execute multi-threaded account plans that drive net-new revenue, expansion, and long-term platform adoption
Lead complex deal cycles, including business case development, ROI modeling, and mutual close plans across new business, renewals, and expansions
Partner deeply with Solutions Engineering to shape and land technically credible pilots, POVs, and production deployments
Navigate regulatory, security, and procurement processes unique to financial services environments
Act as the voice of the customer internally—informing product roadmap, agent design, and vertical-specific solutions
Maintain a strong command of pipeline, forecasting, and deal hygiene using Salesforce, Clari, and related tools
Operate with urgency and precision in a fast-paced, highly cross-functional environment
8–12+ years of enterprise sales experience, with significant focus on financial services (banking, insurance, capital markets, or fintech)
Proven track record of closing and expanding large, complex, multi-million dollar enterprise deals within highly regulated environments
Experience selling AI/ML, data platforms, or workflow automation technologies, with the ability to position agentic / LLM-driven solutions at a business and technical level
Deep understanding of financial services workflows (e.g., underwriting, claims, fraud, KYC/AML, research, operations) and how technology transforms them
Demonstrated success engaging and influencing executive stakeholders, including building and delivering compelling business cases and ROI narratives
Strong command of enterprise sales methodology, including account planning, multi-threading, and disciplined forecasting
Ability to navigate ambiguity, long sales cycles, and complex stakeholder landscapes with high ownership and resilience
Excellent communication and storytelling skills across both technical and non-technical audiences
High level of business acumen, technical curiosity, and a consultative, customer-first mindset

Nice-to-haves

Experience selling agentic AI, LLM platforms, or automation solutions into financial services
Background working with or alongside risk, compliance, or data organizations within large enterprises
Familiarity with regulatory considerations (e.g., model risk management, auditability, data privacy) in AI deployments
Prior experience in high-growth or emerging technology environments

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimlllm

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

Pto