Senior Product Manager — Workflow Builder Runtime & Extensibility (Agentic, AI-First Enterprise Workflow Platform) job opportunity at Adobe.



DatePosted 30+ Days Ago bot
Adobe Senior Product Manager — Workflow Builder Runtime & Extensibility (Agentic, AI-First Enterprise Workflow Platform)
Experience: 8-years
Pattern: full-time
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AI-First Enterprise Workflow Platform)

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loacation San Jose, United States Of America
loacation San Jose....United States Of America

Our Company Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.  We’re 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!   Our Company Adobe is changing the world through digital experiences. We build the platforms and tools that creators and the world’s biggest brands rely on to deliver exceptional content at global scale. We’re committed to a workplace where everyone is respected, supported, and empowered to do the best work of their career. The Opportunity The next wave of automation isn’t about stitching together integrations ,   it’s about building a   programmable, enterprise-grade runtime   teams can trust in production:   observable, governable, resilient, and fast . Workflow Builder is Adobe’s path to that future. We’re building an   agentic, AI-first workflow runtime   that orchestrates production workflows across services, tools, and systems ,   then elevating it with a first-class   extensibility platform   so customers can build   custom actions   and reuse them safely across workflows and teams. In this runtime, “AI-first” isn’t a bolt-on. It’s part of the execution model: workflows can include   reasoning steps   that plan, select tools/actions, validate outcomes, and escalate to humans when needed   while staying inside enterprise guardrails. We’re looking for a Senior Product Manager to own the runtime + extensibility foundation end-to-end. This is a high-agency platform role: you’ll define the execution model, developer surface area, governance guardrails, and the roadmap that unlocks real production adoption at enterprise scale.   Who This Role Is Built For You’ll thrive here if you’re energized by: •   Building platforms that enable other builders (creative technologists, solution teams, partners, customers , developers ) to move faster. •   Designing   primitives and contracts   (not one-off features) that scale across many workflows and use cases. •   Crafting a developer experience that teams choose because it’s   clear, composable, and reliable . •   Owning hard problems in multi-tenant runtime execution:   isolation, performance, observability, governance, lifecycle management . •   Turning power-user needs into a system that’s approachable and production-ready ,   especially when workflows include AI/agentic steps.   What You’ll Do Own the product strategy and roadmap for the Workflow Builder runtime: orchestration, execution semantics, state, scaling, reliability, and operability. Own extensibility end-to-end: define how customers build, test, deploy, version, govern, and operate custom actions that execute safely within workflows, including:   Packaging & distribution Versioning, compatibility, and migration strategies Authentication/authorization models Data access boundaries, secrets handling, and tenant isolation Policy enforcement, approvals, and governance controls Runtime limits, performance, and cost controls Observability (logs/metrics/traces), debugging, incident readiness Define the platform contracts: workflow definitions, triggers, connectors, action schemas, retries, idempotency, error handling, and SLO-backed reliability. Define and ship   agentic runtime primitives : structured state/context, tool/action invocation, planning + execution loops, bounded autonomy, deterministic fallbacks, and human-in-the-loop checkpoints. Build the   trust layer for AI-first execution : permissions, policy enforcement, audit trails, evaluation hooks, and enterprise controls over what agentic steps can do. Partner deeply with engineering, security, and platform teams to ensure the runtime is enterprise-grade: compliance, auditing, tenancy, and secure-by-default execution. Drive tight discovery with enterprise adopters and internal solution teams to validate requirements and ensure the platform supports real production workloads. Lead cross-functional   execution ,   aligning stakeholders, clarifying trade-offs, and shipping iteratively with measurable adoption.   The Hard Problems You’ll Own This role directly tackles challenges like: Safe, multi-tenant execution of customer-built actions (isolation, quotas, data boundaries) Deterministic, reproducible workflow behavior across versions Governance that scales (policy, approvals, auditability) without killing builder velocity First-class observability across workflow + action boundaries Reliable execution under production load (timeouts, retries, backpressure, failure modes) Making agentic behavior   enterprise-trustworthy : bounded autonomy, predictable outcomes, and auditable decisions Operating AI-first workflows at scale: latency/cost controls, fallback strategies, and incident-ready visibility across model + action boundaries   What Success Looks Like (First 6–12 Months) Examples of outcomes you may drive: A production-ready extensibility   framework   where customers can ship custom actions with clear lifecycle management and governance Defined execution semantics and reliability targets that unlock customer confidence (SLOs, incident playbooks, operational maturity) A developer experience that materially reduces time-to-integrate and time-to-debug (SDK/ API , testing/sandboxing, great docs) Early enterprise reference workloads running end-to-end with measurable adoption and reusability A clear, shippable foundation for AI-first workflows: policy + evaluation hooks + human-in-the-loop patterns that teams can use safely in production   What You’ll Bring 8+ years of product management experience, ideally spanning platform products, workflow/orchestration systems, developer tools, or enterprise infrastructure. Strong technical fluency and comfort with systems   thinking   APIs, distributed execution, multi-tenancy, isolation boundaries, reliability/performance trade-offs. Experience building extensible platforms: plugins/extensions, SDKs, “bring your own code,” custom integrations, or ecosystems with third-party builders. Experience shipping AI-powered systems in production (agents, orchestration, evaluation, guardrails, or human-in-the-loop patterns)   or a strong track record of learning fast and leading ambiguity. A track record of shipping products that earn adoption because they are delightful to build on and dependable in production. Excellent communication and influence skills   able to align executives and engineering around a crisp platform narrative and roadmap.   Bonus Points Experience with workflow engines, job schedulers, event-driven architectures, or automation platforms. Background in enterprise governance: SSO, RBAC/ABAC, audit/compliance, customer-specific policy enforcement. Experience defining platform SLOs and building telemetry that improves developer and operator experience. Familiarity with evaluation frameworks and production quality systems for AI (automated evals, regression harnesses, feedback loops).   Why This Role, Why Now This is an opportunity to define the runtime foundation for production automation at Adobe   and unlock customer innovation through a first-class extensibility platform. You’ll build the system teams trust for mission-critical workflows that makes it easy to create, share, and scale custom actions across the enterprise   while enabling AI-first, agentic workflows that are governed, observable, and safe in production. If you love platform work, care deeply about developer experience, and want to shape the future of production automation at scale, we’d love to meet you. 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 $125,800 -- $239,725 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 $165,600 - $239,725
 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 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 applicable characteristics protected by law.   Learn more.   Adobe aims to make Adobe.com 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 (408) 536-3015.

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