Director of Engineering – Machine Learning & AI Products

Adobe Systems
San Jose
Workplace: OnsiteFull timeUSD 206,400 - 384,675 annuallyFunction: Data Science & Machine LearningExperience: 15+ yearsSkills: ["Hands-on technical leadership","Product judgment","Operational rigor","People leadership","Stakeholder communication"]

Lead the end-to-end development of AI-native, production-ready machine learning products for external clients, moving from proofs of concept to scalable, reliable customer-facing systems. Drive technical and product leadership across ML system build, model integration, performance, reliability, and operational readiness. Establish and scale an ML engineering organization (about 4 to 20+), manage and mentor senior leaders, and ensure excellence in production operations and launch support.

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FursaFursa
Adobe Systems
Adobe Systems
1 month ago

Director of Engineering – Machine Learning & AI Products

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Source: Company careers pageValidated by: Fursa AI
Last checked: 17 hours agoStatus: Live
Reposted: similar role first listed 6 months ago

Job Summary

Lead the end-to-end development of AI-native, production-ready machine learning products for external clients, moving from proofs of concept to scalable, reliable customer-facing systems. Drive technical and product leadership across ML system build, model integration, performance, reliability, and operational readiness. Establish and scale an ML engineering organization (about 4 to 20+), manage and mentor senior leaders, and ensure excellence in production operations and launch support.
Location: San Jose
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Director level

Key Responsibilities

  • •Own end-to-end delivery of AI/ML solutions deployed in production for external clients.
  • •Lead technical discussions across system build, model integration, performance, reliability, and operational readiness.
  • •Partner with Product Management to build product vision and ensure differentiation beyond general-purpose LLM capabilities.
  • •Establish, grow, and manage an ML engineering organization, scaling from ~4 to 20+ engineers.
  • •Ensure production operations excellence (monitoring, incident response, model performance, testing/release readiness, and post-launch support).

Pay and Benefits

Salary: USD 206,400 - 384,675 annually
Equity and Bonus:Equity

Key Requirements

  • •Over 15 years of software engineering experience with extensive expertise in machine learning or AI-driven systems.
  • •Demonstrated history delivering and managing AI/ML products in production beyond experimentation or research.
  • •Strong business and commercial exposure, with ownership or leadership of a customer-facing, revenue-impacting AI/ML product.
  • •Strong experience with ML system build, production architecture, and real-world operational challenges.
  • •Demonstrated success leading senior technical teams, including performance evaluations, mentoring, and org scaling.
Experience:15+ years
Skills:Hands-on technical leadershipProduct judgmentOperational rigorPeople leadershipStakeholder communication

Company Brief

Adobe Systems
Provides creative, marketing, and document management software and cloud services, including Photoshop, Illustrator, Acrobat, and the Adobe Experience Cloud, serving creative professionals, enterprises, and governments worldwide.
Industry: SaaS
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Jose, United States
Founded: 1982
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