Senior Product Manager - Workflow Builder Runtime & Extensibility (Agentic, AI-First Enterprise Workflow Platform)

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:

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.

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:

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.