adobe / Principal Product Manager
id
role_1ZSkiZiwtQgstatus
active
fit score
78
reasoning
Strong fit: Felix has built agentic systems (OpenClaw multi-agent orchestration, Fintellect agents), understands LLM integration and tool protocols, and has deep AI/ML expertise. This aligns well with agent runtime and developer surface ownership, though no direct Adobe CX Enterprise experience.
source
workday
url
discovered
2026-05-18T21:03
🤖 Prepare full bundle — LLM-orchestrated
Sonnet planner decides which agents to run based on role status + fit + existing artifacts. Runs prep / cover / resume / interview Q's in one shot. Paste an interviewer profile to enable interview-Q steps.
$0.50–$2.00, 2–5 min
Generators
One-click generation. Outputs land in the Artifacts table below and on the pipeline page.
Artifacts (7)
| kind | id | model | created |
|---|---|---|---|
| cover_letter | art_OJ_IrpiPBrU |
anthropic/claude-sonnet-4.6 | 2026-05-20T17:04 |
| brief | art_fnjvzFmmOv0 |
anthropic/claude-sonnet-4.6 | 2026-05-20T17:05 |
| tailored_resume_v2 | art_CBL6NUouV7c |
anthropic/claude-sonnet-4.6 | 2026-05-20T17:06 |
| interviewer_questions | art_cEeCltMzRzY |
anthropic/claude-sonnet-4.6 | 2026-05-20T20:09 |
| coding_drills | art_2RsT4_eFIjs |
— | 2026-05-20T23:01 |
| coding_drills | art_eiLFb3Hiq7U |
— | 2026-05-20T23:01 |
| coding_drills | art_GaVm8acAXAA |
— | 2026-05-21T01:56 |
Interview prep — questions tailored to an interviewer
Paste the interviewer's LinkedIn profile (copy + paste the page text), then generate either or both:
Each click = one LLM call (~$0.20, ~40s). Results appear as new artifacts in the table above.
Thank-you note
Post-interview follow-up. Both fields are optional — paste what you have, and the agent will adapt.
~$0.15, ~25s
Job description
The Opportunity
Our team is building and owning the runtime and control plane for agents across Adobe CX Enterprise — the harness layer that turns LLMs into enterprise coworkers grounded in Adobe's data (RTCDP, AJO, CJA) and governed by CX enterprise guardrails . We're hiring a Principal PM to own the core platform: the agent loop, the tool and skills, and the developer surface that practitioners and partners build against.
This role is for someone who already lives in the modern agentic stack and has opinions about it. You've used Claude Code, written skills, debugged MCP servers, and have a view on where the harness ends and domain intelligence begins. You understand that the commodity layer is racing to the bottom and that the defensible work is in the data & control planes, the contracts, and the feedback loop.
What you'll do
- Own the runtime agentic core loop and the contracts around it — tool protocols (MCP, A2A), skills, knowledge grounding, and the enterprise trust & safety guarantees.
- Define how agents are evaluated, overridden, and improved in production. The override and feedback loop is the moat; you'll design it.
- Drive the developer surface for both Agent Developers (who define skills) and Agentic App Developers (who compose them). Docs, CLI, local dev/prod parity, the works.
- Work with the team on architectural calls on what we build vs. adopts from the open ecosystem. Hold the line on control plane ownership (auth, entitlements, governance) without reinventing what the ecosystem already does well.
- Partner with Applied Science and ML Eng on agent quality benchmarks that actually predict customer outcomes — not vanity evals.
- Work directly with the engineering leads, design, and field teams across the org. Translate between research, engineering, and GTM without losing precision.
Who you are
- 7+ years in PM, with real depth in AI platforms, developer tools, or infra products. Application PMs who haven't shipped platform contracts won't be a fit.
- You can speak fluently about MCP, skills, harness patterns, agent loops, tool use, context engineering, and evaluation. You've built or extended something in this space — not just read about it.
- You've used Claude Code, Cursor, or equivalent agentic dev environments seriously enough to have informed opinions about what they get right and wrong.
- You think in contracts and interfaces. You understand why ABI stability matters, why plugin/marketplace/tool terminology needs precision, and why "just use the model" is rarely the answer at the platform layer.
- You can hold a position with engineering leads and back it with technical reasoning, and you can change your mind when the argument is better.
- You write tersely. You strip adjectives. You calibrate by audience — exec memo, eng spec, customer doc — without losing the through-line.
- CS or engineering background strongly preferred. Hands-on coding ability is a plus, not a requirement, but you should be able to read a skill manifest or an MCP server and know what it does.
• On-site in San Jose weekly with the team.
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.
Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call +1 408-536-3015.
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 $148,100 -- $282,100 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 $194,800 - $282,100
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.
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