Solutions Engineer, Enterprise

Scale AI
San Francisco, New York
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringSkills: ["Communication","Presentation","Problem-solving","Interpersonal","Collaboration"]

Lead pre-sales efforts for enterprise customers by delivering tailored demos and pilots, building technical solutions with Generative AI expertise, and shaping SOWs. Collaborate with AEs, Product, and MLEs to unblock technical challenges, design post-sale implementations, and drive efficiencies in the Solutions Engineering team while engaging customers across financial services, insurance, SaaS, and similar enterprises.

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FursaFursa
Scale AI
Scale AI
1 year ago

Solutions Engineer, Enterprise

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Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live

Job Summary

Lead pre-sales efforts for enterprise customers by delivering tailored demos and pilots, building technical solutions with Generative AI expertise, and shaping SOWs. Collaborate with AEs, Product, and MLEs to unblock technical challenges, design post-sale implementations, and drive efficiencies in the Solutions Engineering team while engaging customers across financial services, insurance, SaaS, and similar enterprises.
Location: San Francisco, New York
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, including customers in financial services, insurance, SaaS, and similar enterprises.
  • •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; work with forward-deployed Software and ML Engineers on initial post-sales efforts.

Pay and Benefits

Perks:Health InsuranceDentalVisionRetirement BenefitsLearning BudgetPaid LeaveCommuter Benefits

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 SaaSGenAIGenerative AI
Skills:CommunicationPresentationProblem-solvingInterpersonalCollaboration
Languages:English
Tech Stack:PythonJavaWeb developmentGenerative AILLMCloudSaaS

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