Adobe · 9 hours ago
Senior ML/AI Engineering Manager, GenAI Experiences
San Francisco
Full-time
Onsite
Senior Level, Lead/Staff
$179K/yr - $351K/yr
10+ years expAdobe is a company focused on changing the world through digital experiences. They are seeking a Senior ML/AI Engineering Manager to lead the Experience ML/AI squad, responsible for building the ML foundations and systems that enable proactive, contextual intelligence across Adobe Experience Cloud.
Artificial Intelligence (AI)ConsultingEnterprise SoftwareGraphic DesignImage RecognitionPhoto EditingSaaSSoftwareUX DesignWeb Design
Responsibilities
Lead the ML/AI squad: hire, mentor, and retain senior ML engineers; build a culture of applied rigor, startup style fast iteration, and measurable impact
Set strategy and one-year objectives for the Experience ML program, translating multi-year vision into deliverable release plans and clear priorities aligned to product outcomes
Own end-to-end execution for ML systems powering GenAI Experiences across the three themes (real-time contextual intelligence, predictive workflows, NL UI control)
Operationalize ML Execution and Quality Standards: establish standards for data readiness, evaluation, model quality, latency, privacy constraints, monitoring, and iteration loops so results reliably ship and improve
Drive cross-team tradeoffs and dependency management between ML workstreams and System Experience surfaces and UI Experience surfaces (where models must integrate into your peer teams)
Scale impact by both with and without headcount-only scaling (improving operating models, tooling, automation, and reuse across roadmaps and workstreams)
Remain hands-on enough to unblock: review strategic PRs/designs, guide technical choices, and help the team navigate tradeoffs (latency vs. quality, privacy vs. telemetry, offline vs. online inference)
Communicate with senior leadership (Sr. Director/VP partners) to drive alignment on workstreams, resourcing approach, and strategic tradeoffs
Qualification
Required
Experience building ML systems that model user behavior/workflows/data (e.g. event streams, interfaces as data, page semantics) and to infer intent and drive proactive UX — beyond traditional 'system metrics/logs only' ML
10+ years of engineering experience with strong technical depth; experience shipping production systems that require high reliability and strong operational rigor
6+ years of engineering management experience, including leading senior engineers and/or managers; ability to set direction and delegate across complex domains consistent with high visibility scope
Strong ML/AI/NL background sufficient to lead technical strategy and execution across: real-time contextual modeling, workflow/behavior modeling, and grounded NL-to-action systems
Proven ability to lead ambiguous, cross-team initiatives, balancing speed, quality, privacy, and long-term sustainability
Excellent communication and influence skills across technical and non-technical partners, including executive alignment on tradeoffs and investment
Preferred
Experience with on-device / edge ML constraints (latency, memory, privacy), and/or model optimization for client environments (the roadmap emphasizes client-side models and 'edge inference & optimization')
Experience with knowledge graphs / heterogeneous modeling approaches for cross-product grounding and reuse
Experience building human-in-the-loop systems (annotation, feedback, calibration, explainability, interruption management)
Experience building UI and user experience workflows
Bachelor's, Master's, PhD in Machine Learning, Artificial Intelligence, Computer Science, Engineering, or related field
Benefits
Annual Incentive Plan (AIP)
Long-term incentives in the form of a new hire equity award
Company
Adobe
Adobe is a software company that provides its users with digital marketing and media solutions.
10001+ employees
H1B Sponsorship
Adobe has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
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Trends of Total Sponsorships
2025 (1160)
2024 (1217)
2023 (750)
2022 (878)
2021 (742)
2020 (477)
Funding
Current Stage
Public CompanyTotal Funding
$2.5MKey Investors
Apple
1986-08-20IPO
1984-10-01Series Unknown· $2.5M
Leadership Team
Shantanu Narayen
CEO
Dan Durn
Chief Financial Officer
Recent News
2026-02-07
Company data provided by crunchbase