Solutions Engineer, Enterprise

Scale AI
London
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringSkills: ["Communication","Presentation","Problem-solving","Collaboration","Customer-facing"]

Serve as an Enterprise Solutions Engineer, partnering with AEs, Product, and MLEs to guide pre-sales, deliver tailored demos and pilots, and design technical solutions across industries like financial services, insurance, SaaS, and fintech. Own technical scoping, drive the technical win, and collaborate with engineers to translate customer needs into executable plans and SOWs.

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FursaFursa
Scale AI
Scale AI
8 months ago

Solutions Engineer, Enterprise

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 11 hours agoStatus: Live

Job Summary

Serve as an Enterprise Solutions Engineer, partnering with AEs, Product, and MLEs to guide pre-sales, deliver tailored demos and pilots, and design technical solutions across industries like financial services, insurance, SaaS, and fintech. Own technical scoping, drive the technical win, and collaborate with engineers to translate customer needs into executable plans and SOWs.
Location: London
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

  • •Partner with Scale AEs on the customer journey, delivering tailored demos and prototypes according to the customer's requirements.
  • •Develop technical domain expertise in Generative AI / large language model applications for Enterprise use cases.
  • •Be accountable for securing the “technical win” by unblocking technical challenges.
  • •Interact with customers daily to understand their needs and design solutions to better serve them.
  • •Design and develop “Scopes of Work” by breaking down customer challenges into a project plan.

Key Requirements

  • •Strong engineering background with prior experience working with clients in a pre or post-sales capacity to realize business goals.
  • •Prior experience developing with Python, Java and/or other web development languages.
  • •Experience working in enterprise SaaS, cloud tech, finance, fintech or similar industries in a technical capacity with end-customer engagement.
  • •A track record as a self-starter, motivated to independently unblock technical issues in the field with the customer, away from the mothership.
  • •Presentation skills with a high degree of technical credibility when speaking with executives and front-line engineers.
Experience:Enterprise SaaSGenAIAIGenerative AI
Skills:CommunicationPresentationProblem-solvingCollaborationCustomer-facing
Languages:English
Tech Stack:PythonJavaWeb developmentSaaSCloud

Company Brief

Scale AI
Provides data labeling, annotation, and infrastructure services to accelerate machine learning and AI development. Supplies high-quality training data, tooling, and APIs for customers in autonomous vehicles, mapping, robotics, and enterprise AI applications.
Industry: AI & Machine Learning
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2016
WebsiteLinkedIn