**The Opportunity **
In the last 6 months, agentic development has taken off – changing how software is built. We have a clear vision on how to embrace it, and an engineering org already in motion. We need a product leader to take the spark and own the connection with the builders we serve. They will turn it into strategy and keep evolving that strategy as frameworks, tools, and processes change.
Join us in the ABX org, where agentic development is the platform – a managed harness that 15,000 builders at Adobe will use to ship software with AI. Every improvement you will make compounds across engineering, product, and design, on most codebases at Adobe!
This is a build role. You'll develop the strategy, build the organizational framework from the ground up, and set the bar for what agentic development looks like at Adobe.
What you'll own
The Builders Experience strategy. Take an articulated-but-evolving vision and transform it into written strategy, roadmap, and objective measures of success. Expect it to change continuously as the models, harnesses, and internal processes evolve.
The platform spanning all three modes of agentic development. ABX will serve builders wherever they are on the curve, and make each mode repeatable:
- Agentic Delegation - individual acceleration; the SDLC stays the same, each function just gets faster.
- Agentic Transformation - cross-functional AI pods that compress the SDLC and dissolve role boundaries.
- Agentic Orchestration - ticket-to-PR factories, multi-agent loops, self-healing CI, with customer and SRE signal closing the outer loop.
The objectives and key results (OKRs). Platform adoption → per-engineer output → per-employee productivity → business impact. We start with adoption and build up to the rest.
The relationship with the builders. Deepen trust with the Adobe Builders community, as past decisions on models and tooling created friction. You'll build the engagement mechanisms for a real partnership, and act as chief marketer and evangelist for the platform across the org!
Build vs. buy. Own the decision process for which external models and tools we deploy. Know the latest across the labs, hyperscalers, and open-weights - and make high-conviction calls amid an embarrassment of riches.
Execution. Relentless focus on shipping. Remove bottlenecks, streamline how the team communicates, and automate our own SDLC intelligently - designing the moments where humans stay in the loop so judgment and taste get applied at the junctures that matter.
The operating model. Design how this team runs, in partnership with engineering. It must be agentic itself - we build the system with our system and eat our own dog food. Expect AI pods with real ownership, some led by non-PMs and product-design-engineer (PDE) profiles, not the classic backlog-and-execute approach.
A small PM team. Direct one PM today (who owns external-tool deployment decisions) and grow the org as the mandate expands - setting the hiring bar and the culture as you go.
What you'll bring
- Senior PM leadership with a track record of building strategy and teams from scratch
- Technical credibility with builders. The best instinct here is an engineer's instinct for what engineers want - we're building tools for people who like to build their own tools. You don't need to ship production code, but you should read it and reason about it.
- Deep technical fluency in agentic systems: model evaluation and selection, orchestration frameworks, evaluations, inference cost, MCP and the surrounding dev-tooling stack. Comfortable debating latency-vs-accuracy tradeoffs with principal engineers.
- Strategic clarity under ambiguity. The landscape shifts weekly; you will synthesize signal from noise, make high-conviction bets on incomplete information, and adjust course as needed.
- Comfort operating lean and unconventionally - small team, novel AI pods structure, strong bias to action, allergic to process theater and fluff.
- A driver of reinvention - energized by collapsing role boundaries and remaking the SDLC to be AI-first.
What sets you apart
- You've led product for a developer or AI platform inside a large engineering org (hundreds to thousands of engineers), and driven adoption of AI-augmented development tooling at scale.
- You're boundary-less - you'll collaborate across Adobe and go where the outcome takes you.
- You can converse across the whole agentic stack: agentic coding, CI/CD, build systems, observability, evaluations, orchestration.
- A technical degree (CS, Math, Engineering, or related) or equivalent experience. We value what you've built over where you studied.
Be ready for
- A vision that will change, repeatedly. We optimize for agility over certainty.
- A team that's small by design, with a non-standard operating model you'll co-invent.
- Being both architect and customer of what we build. That reinforcement loop - the system building itself, and getting smarter every time Adobe builds on it - is our MO.
About Adobe
Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.
Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.
** Let’s Adobe together**
At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.
Adobe is proud to be an Equal Employment Opportunity employer. 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 protected characteristic. Learn more.
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AI Use Guidelines for Interviews: Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.
At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience.
Expected Pay Range:
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 position is $173,800 -- $334,500 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and 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 $231,000 - $334,500
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.