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Scale AI

Supplies AI training data and builds AI apps

Enterprise Account Executive - Financial Services

Account ExecutiveConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • 8–12+ years of enterprise sales experience, with significant focus on financial services such as banking, insurance, capital markets, or fintech.
  • A proven track record of closing and expanding large, complex, multi-million-dollar enterprise deals in highly regulated environments.
  • Experience selling AI/ML, data platforms, or workflow automation technologies, with the ability to position agentic or LLM-driven solutions at business and technical levels.
  • Deep understanding of financial-services workflows, including underwriting, claims, fraud, KYC/AML, research, and 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 ownership and resilience.
  • Excellent communication and storytelling skills across technical and non-technical audiences.
  • High level of business acumen, technical curiosity, and a consultative, customer-first mindset.

Responsibilities

  • Own and expand relationships with large financial-services institutions, focusing on high-impact, multi-year AI transformations.
  • Sell agentic AI solutions by mapping company capabilities to mission-critical workflows such as underwriting, fraud, compliance, customer operations, and investment research.
  • Build trusted relationships with executive stakeholders and guide enterprise AI strategy.
  • Develop and execute multi-threaded account plans that drive 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 with Solutions Engineering to shape and land technically credible pilots, proofs of value, and production deployments.
  • Navigate regulatory, security, and procurement processes unique to financial-services environments.
  • Represent the customer internally by informing the product roadmap, agent design, and vertical-specific solutions.
  • Maintain command of pipeline, forecasting, and deal hygiene using Salesforce, Clari, and related tools.
  • Operate with urgency and precision in a fast-paced, cross-functional environment.
  • Own the full customer lifecycle from origination through close, deployment, and expansion, coordinating Solutions Engineering, Product, Research, and Delivery teams to land and scale AI programs.

Desired Qualifications

  • 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 in AI deployments, including model risk management, auditability, and data privacy.
  • Prior experience in high-growth or emerging-technology environments.

About the Company

Scale AI

Supplies AI training data and builds AI apps

Scale AI supplies the data that AI labs use to train and test their models, and it builds custom AI applications for companies and government agencies such as the Pentagon. It first made its name labeling camera and sensor data for self-driving car companies like Waymo, then worked with OpenAI on InstructGPT, the 2022 forerunner of ChatGPT. Freelancers, some of them doctors and lawyers, write, label, and grade examples through its Outlier platform, and labs pay Scale for this data and for tests of model quality. Clients pay Scale to build AI tools on their own data, and some of those tools run on classified military networks. Alexandr Wang and Lucy Guo founded Scale AI in 2016, and it is based in San Francisco.

Company size
1,001-5,000
Company stage
Acquired
Total funding
$1.6B
Headquarters
San Francisco, CA
Founded
2016

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