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Engineering Manager, Enterprise Applied AI

San Francisco

SpringCube

Full-time - Engineering Manager

IT Services & Consulting

Posted 4 weeks ago

Disclosed upon interview

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Job Description

The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.

Company Overview

A rapidly growing AI technology company is building the infrastructure that connects human expertise with frontier AI models. Its platform enables organizations to capture institutional knowledge, transform expert workflows into intelligent agents, and continuously improve AI systems through evaluation and feedback loops. Serving leading enterprises and AI organizations, the company is focused on accelerating AI adoption and creating scalable systems that drive measurable business outcomes.

The organization is seeking an Engineering Manager, Enterprise Applied AI to lead the technical delivery of enterprise AI deployments. This role sits within the Applied AI organization and focuses on helping enterprise customers implement production-ready AI systems that solve complex business challenges.

The successful candidate will lead customer-facing engineering teams, partner closely with go-to-market and delivery functions, and ensure the successful deployment of scalable AI solutions. This position requires a strong combination of technical leadership, customer engagement, team management, and execution excellence in fast-moving environments.

Key Responsibilities

  • Partner directly with enterprise customers to align technical requirements with business objectives.
  • Serve as a bridge between engineering, sales, go-to-market, and delivery teams.
  • Co-lead technical delivery efforts alongside operational counterparts to implement production-ready AI systems.
  • Translate complex and ambiguous business workflows into scalable AI-powered solutions.
  • Integrate AI systems with enterprise platforms, APIs, internal tools, and data sources.
  • Guide the deployment of AI workflows, agent orchestration systems, evaluation frameworks, and continuous learning feedback loops.
  • Hire, mentor, and develop high-performing engineering teams.
  • Establish engineering best practices and scalable technical delivery processes.
  • Collaborate closely with product, research, platform engineering, and commercial teams to bring new AI capabilities into production environments.
  • Ensure deployments are reliable, scalable, secure, and aligned with customer expectations.
  • Remove blockers, support team execution, and drive successful customer outcomes.

Required Qualifications

  • 5+ years of experience building production software systems with strong software engineering fundamentals.
  • Proficiency in one or more programming languages such as Python, Go, Java, Rust, or similar technologies.
  • 2+ years of experience directly managing technical teams.
  • Proven experience leading customer-facing technical delivery for enterprise software, AI products, or developer platforms.
  • Strong background in designing distributed systems and cloud-native applications.
  • Excellent communication skills with the ability to explain complex technical concepts to both engineering teams and executive stakeholders.
  • Demonstrated ability to lead through ambiguity and make effective technical decisions in rapidly evolving environments.
  • Experience coaching engineers and fostering high-performance team cultures.
  • Strong problem-solving skills and the ability to maintain execution velocity in unstructured settings.

Disclaimer

SpringCube curates tech job listings from various company websites to support tech professionals globally.

  1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
  2. No Client Relationship: This company is not a client of SpringCube unless stated.
  3. To Apply: Click the Apply button to be redirected to the hiring company’s application page for this job.
  4. No Liability: SpringCube is not liable for inaccuracies.