Field Engineer, Public Sector

Scale AI
San Francisco, New York, Honolulu, St. Louis, Washington
Workplace: OnsiteFull timeFunction: Government & Public AdministrationSkills: ["Communication","Presentation","Interpersonal skills","Customer facing","Problem-solving"]

Software-generalist field engineer who works directly with public sector clients to design and implement production-grade data pipelines, APIs, and integration tooling. Partners with Product, Engineering, and Operations to remove technical hurdles, while developing domain expertise in AI areas like LLMs and API integrations; strong client-facing and project management skills are essential for delivering scalable solutions.

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FursaFursa
Scale AI
Scale AI
1 year ago

Field Engineer, Public Sector

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 10 hours agoStatus: Live

Job Summary

Software-generalist field engineer who works directly with public sector clients to design and implement production-grade data pipelines, APIs, and integration tooling. Partners with Product, Engineering, and Operations to remove technical hurdles, while developing domain expertise in AI areas like LLMs and API integrations; strong client-facing and project management skills are essential for delivering scalable solutions.
Location: San Francisco, New York, Honolulu, St. Louis, Washington
Workplace: Onsite
Employment Type: Full time
Job Function: Government & Public Administration

Key Responsibilities

  • •Implement end-to-end data integrations, syncing customer’s data to Scale’s platform and back
  • •Work closely with our customer’s engineering teams to optimize data pipelines, including providing input towards designing API endpoints and input/output schemas
  • •Design, develop and maintain playbooks, internal tools, Scale’s documentation and SDKs to quickly get customers set up for long-term success
  • •Partner with Software Engineers and Operations to remove any technical hurdles customers may face / Debug technical issues impacting delivery and own technical escalations coming from the customer
  • •Be accountable for the customer’s technical experience throughout their time with Scale

Pay and Benefits

Perks:Health InsuranceRetirement BenefitsLearning BudgetPaid LeaveCommuter Benefits

Key Requirements

  • •Track record of success as a hybrid customer-facing engineer or similar function, wearing multiple hats along the way
  • •Prior technical hands-on experience working with clients in a pre or post-sales capacity to realize business goals
  • •Prior experience developing with Python and JavaScript, or other modern software languages
  • •Strong engineering background preferably in Computer Science, Mathematics, or other quantitative fields
  • •Strong project management and interpersonal skills
Experience:Public Sector
Skills:CommunicationPresentationInterpersonal skillsCustomer facingProblem-solving
Languages:English
Tech Stack:PythonJavaScriptAPIsKubernetesHelmAnsible

Eligibility

Security Clearance:TS/SCI

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