Technical Product Manager, Agentic AI Security

• A written specification for every workflow entering delivery, stating the requirements, the scope, and the outcomes the capability must produce

• Acceptance criteria that state what the capability must do, expressed so that meeting them can be verified rather than debated

• Measurable outcomes agreed with the functional owner before work starts, and evidenced after release

• Scope held stable through delivery, with changes made deliberately and their cost stated

You will:

• Own the specification for each workflow, covering the problem being solved, the requirements, the scope boundaries, the constraints, and the outcomes the capability must produce 

• Work with domain functional experts to establish how the work is performed today, what the process exists to achieve, where it varies, and what a correct result looks like, including the practice that has never been written down 

• Define acceptance criteria that state what the capability must do to be accepted, expressed in terms that can be verified rather than interpreted 

• Define the measurable outcomes for each workflow, including the baseline they are measured against and the improvement expected 

• Own the definition of ready: the standard a specification must meet before a workflow moves into design and build, and hold specifications to that standard rather than allowing incomplete work forward 

• Scope the work: separate what is required from what is desirable, state explicitly what is out of scope, and decompose large workflows into increments that can be delivered and used 

• Resolve conflicting requirements between functions rather than accumulating them into the specification, and record the decision and the reasoning behind it 

• Keep the specification current as design and delivery proceed, managing change deliberately and stating the cost of each change rather than absorbing it 

• Work alongside engineering through design and build so that specifications remain buildable, and revise the specification when a technical constraint makes the original requirement impractical 

• Validate delivered capability against the specification with the functional owner, and confirm after release whether the stated outcomes were achieved

• Maintain the specification standard, templates, and reference examples so that each workflow after the first takes less effort to specify

Take the first step toward your dream career

Every Dell Technologies team member brings something unique to the table.  Here's what we're looking for in this role:

• 8+ years in technical product management, product ownership, or business analysis for software systems, with specifications that engineering teams built directly from 

• Demonstrated ability to write requirements and acceptance criteria that are unambiguous and verifiable, and that do not require the author present to interpret them 

• Experience eliciting requirements from domain experts, including surfacing the tacit practice that experienced people apply without documenting 

• Experience defining measurable outcomes, including establishing a baseline and agreeing in advance what improvement will be measured and how 

• Experience scoping and decomposing large bodies of work into deliverable increments, and holding scope through delivery under pressure to expand it 

• Technical fluency sufficient to work with engineers on feasibility, constraints, and trade-offs, and to understand the systems being specified 

• Working knowledge of AI-native systems, including why their behavior is probabilistic and what that means for how requirements and acceptance criteria must be written 

• Demonstrated ability to resolve conflicting requirements between stakeholders and hold that decision 

• Written communication of a standard that engineering can build from without repeated clarification 

• Bachelor’s degree in computer science, engineering, or a related field, or equivalent practical experience 

• Experience in product management or business analysis within a security domain 

• Experience specifying AI or machine learning capabilities for production use 

• Experience with process analysis or process re-engineering, including documenting current state and defining a target state 

• Prior engineering or technical delivery background 

• Experience establishing specification standards or templates where none existed 

• Familiarity with LLM behavior, agentic systems, or AI evaluation practice