VP of Platform Engineering

Interface AI
San Francisco
Workplace: OnsiteFull timeUSD 400,000 - 500,000 annuallyFunction: DevOps, Cloud & InfrastructureExperience: 10+ yearsEducation: bachelorsSkills: ["Leadership","Architecture"]

Own the platform-engineering organization for an AI-native financial services stack, spanning agent runtime, retrieval and evals, integrations and computer-use infrastructure, data & fraud, and the agent-authoring platform. Lead org design and growth, set velocity and quality standards with eval gates and reliability practices, and build an engineering culture powered by frontier tools. Serve as a player-coach, staying hands-on with architecture, PR reviews, and incident response.

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FursaFursa
Interface AI
Interface AI
1 month ago

VP of Platform Engineering

✓ Verified Job

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Source: Company careers pageValidated by: Fursa AI
Last checked: 22 hours agoStatus: Live

Job Summary

Own the platform-engineering organization for an AI-native financial services stack, spanning agent runtime, retrieval and evals, integrations and computer-use infrastructure, data & fraud, and the agent-authoring platform. Lead org design and growth, set velocity and quality standards with eval gates and reliability practices, and build an engineering culture powered by frontier tools. Serve as a player-coach, staying hands-on with architecture, PR reviews, and incident response.
Location: San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: DevOps, Cloud & Infrastructure
Seniority: Sr. Director level

Key Responsibilities

  • •Design and grow the platform-engineering domains by building and scaling the platform/AI/infra team and its engineering standards.
  • •Lead development of the agentic and conversational AI platform, including LLM orchestration, retrieval systems, evals, and integration/computer-use infrastructure.
  • •Drive velocity and quality with eval gates and reliability practices across domains.
  • •Build an AI-native engineering culture using frontier tools and an engineering harness that accelerates every engineer.
  • •Own engineering/ops excellence including incident response, observability, and reliability targets; partner on architecture and product.

Pay and Benefits

Salary: USD 400,000 - 500,000 annually
Equity and Bonus:Equity

Key Requirements

  • •10+ years engineering with 4–6 years leading teams at high-growth startups/scale-ups, including scaling a platform/infra team through a funding transition.
  • •Deep domain commonality in AI/agentic systems, LLM/ML infrastructure, or conversational/voice AI at production scale.
  • •Fluency in building reliable agentic systems, including LLM orchestration and infra-level meaning of “agentic AI.”
  • •Hands-on platform background with distributed systems, API design, cloud architecture, and production AI ops.
  • •Still-technical leadership: review PRs, make architecture calls, and partner with Staff/Chief Engineers; BS/BA in CS required.
Experience:10+ years
Education:Bachelor's in Computer Science
Skills:LeadershipArchitecture
Tech Stack:LLMsMachine LearningTypeScriptPythonAPI designCloud architectureObservabilityRetrievalEvalsIncident response

Company Brief

Interface AI
Provides AI-powered virtual assistant and automation software for banks and credit unions. The platform helps financial institutions handle customer service, support routine banking tasks, and improve digital self-service across voice and chat channels.
Industry: SaaS
Company Size: Medium (51 to 250 employees)
Growth: Growth Stage Startup
Headquarters: San Jose, United States
Founded: 2018
WebsiteLinkedIn