Manager, AI Deployment Engineering
Leads a customer-facing Applied AI Engineering team serving strategic technology and software companies. The role combines people leadership, technical partnership, production AI application delivery, customer strategy, and cross-functional influence, requiring 8+ years of technical experience and 2+ years managing teams.
About the job
Responsibilities
- Own the strategy and operating model for the Digital Natives Applied AI Engineering team.
- Lead, hire, mentor, and develop a team of Applied AI Engineers.
- Guide customer-facing teams in identifying use cases, designing and building AI applications, solving technical challenges, and scaling solutions into production.
- Partner with Sales to prioritize strategic customer engagements and drive adoption, usage, and growth.
- Serve as a senior technical partner and escalation point for priority customers and executive stakeholders.
- Synthesize customer insights on model performance, developer experience, product gaps, emerging use cases, and technical blockers for Product, Engineering, and Research.
- Translate customer needs and implementations into repeatable technical patterns, reference architectures, playbooks, tooling, and best practices.
- Coach engineers on technical quality, customer judgment, prioritization, executive communication, and cross-functional partnership.
- Help customers apply new AI capabilities and champion their safe, reliable, and effective use.
Requirements
- 8+ years of experience in deeply technical, customer-facing roles such as applied engineering, solutions architecture, deployment engineering, or technical consulting.
- 2+ years leading technical teams, including hiring, developing, mentoring, and managing engineers.
- Experience building or deploying generative AI, machine learning, developer platforms, or cloud-based software solutions in production.
- Strong technical depth across APIs, AI/ML systems, application architecture, cloud infrastructure, and modern developer workflows.
- Hands-on software engineering experience with fluency in Python or JavaScript.
- Ability to work with technical engineering and product teams, CTOs, and executive stakeholders.
- Ability to translate ambiguous customer and business problems into technical approaches and guide teams through production.
- Strong judgment, communication, ownership, humility, curiosity, and commitment to safe and beneficial AI development.
Compensation
- Annual salary range: $251,000–$335,000.
Skills
Generative AI, Machine Learning, APIs, Ai/Ml Systems, Application Architecture, Cloud Infrastructure, Python, JavaScript, Developer Platforms, Openai Technologies
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