Senior MLAI Engineering Manager, GenAI Experiences

San Jose, CA - USA

Yearly Salary: $ 178900 - 351225

Posted on: Yesterday

Vacancies: 1 Vacancy

Job Summary

Our Company

Changing the world through digital experiences is what Adobes all about. We give everyonefrom emerging artists to global brandseverything they need to design and deliver exceptional digital experiences! Were passionate about empowering people to create beautiful and powerful images videos and apps and transform how companies interact with customers across every screen.

Were on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization and we know the next big idea could be yours!

The Opportunity

We are seeking an experiencedSenior ML/AI Engineering Manager (M50)to lead theExperience ML/AIsquad within GenAI Experiences. This role owns delivery of the ML strategy that moves AI Assistant from a reactive experience (driven primarily by agents) to real-time contextual intelligence predictive workflow understanding and safe natural-language UI control across Experience Cloud.

This is auniquely Experience focused role. We start from user outcomeshow products feel work and deliver valueand back into the right mix of ML techniques using UI context and user behavior/workflow signals to build proactive grounded intelligence across Experience Cloud

This is intentionally scoped for a senior leader whooperatesbeyond a single project or model.Success requires setting strategy and one-yearobjectives delegating across direct reports and making complex tradeoffs where in-depth knowledge of organizational goals and product constraints is consistent with M50 expectations.

You will lead execution across six persistent ML workstreams(the organizational unit of delivery) ensuring clear ownership cross-team dependencies and reusable ML foundations:

Page & UI Semantic Understanding and Manipulation

User Behavior Intent & Workflow Analytics

Heterogeneous Object & Graph Modeling

NL Interaction with Cross Product New Services via Agents

Edge Inference & Model Optimization

Human-in-the-Loop Control & Learning

Key Responsibilities

Set strategy and one-yearobjectivesfor the Experience ML program

Operationalize ML Execution and Quality Standards

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 tounblock:review strategic PRs/designs guide technical choices and help the team navigate tradeoffs

Communicate with senior leadership (Sr. Director/VP partners) to drive alignment on workstreams resourcing approach and strategic tradeoffs

Qualifications

ABachelorsdegree or equivalent experience in a relevant technical or scientific field such as Computer Science Information Science Human-Computer Interaction Artificial Intelligence Machine Learning Statistics Mathematics Physics Cognitive Science or Psychology.Masters degree or PhDa plus particularly in areas related to machine learning human-centered AI applied statistics or computational sciences butnot.

10 years of engineering experience with strong technical depth; experienceshipping production systemsthat 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.

Experience building ML systems thatmodelinguser behavior/workflows/data (e.g.event streams interfaces as data page semantics) andto inferintent and drive proactive UX beyond traditional system metrics/logs only ML.

Excellent communication and influence skills across technical and non-technical partners including executive alignment on tradeoffs and investment.

Nice to Have

Experience withon-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 withknowledge graphs / heterogeneous modelingapproaches for cross-product grounding and reuse.

Experiencebuilding human-in-the-loop systems(annotation feedback calibration explainability interruption management).

Experience building UI and user experience workflows

Our compensation reflects the cost of labor across several U.S. geographic markets and we pay differently based on those defined markets. The U.S. pay range for this positionis $$351225 annually. Paywithin this range varies by work locationand may also depend on job-related knowledge skillsand experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.

In California the pay range for this position is $242600 - $351225

At Adobe for sales roles starting salaries are expressed as total target compensation (TTC base commission) and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).

In addition certain roles may be eligible for long-term incentives in the form of a new hire equity award.

State-Specific Notices:

California:

Fair Chance Ordinances

Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and fair chance ordinances.

Colorado:

Application Window Notice

If this role is open to hiring in Colorado (as listed on the job posting) the application window will remain open until at least the date and time stated above in Pacific Time in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location no specific application window applies and the posting may close at any time based on hiring needs.

Massachusetts:

Massachusetts Legal Notice

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Adobe is proud to be anEqual Employment Opportunityemployer. We do not discriminate based on gender race or color ethnicity or national origin age disability religion sexual orientation gender identity or expression veteran status or any other applicable characteristics protected by law.Learn more.

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Required Experience:

Manager

Our CompanyChanging the world through digital experiences is what Adobes all about. We give everyonefrom emerging artists to global brandseverything they need to design and deliver exceptional digital experiences! Were passionate about empowering people to create beautiful and powerful images videos...