Product Operations Manager, Human and Agent Experience

About the Role:

SecurityScorecard's Product & Design org is rebuilding itself around AI-first workflows, where designers prototype directly against the live codebase with Claude and hand off working interactions instead of static Figma comps, and where AI agents increasingly operate alongside human users inside our product. We need an operator to build and run the systems that make both sides of that work: the human design org, and the emerging discipline of agent experience (AX).

This is a design/UX operations and program management role, not a design-execution role. You won't be shipping mockups. You'll be building the operating model, cadence, metrics, and standards that let a pod-based, AI-first org move fast and stay aligned, on the human experience side and on the agent experience side alike.

This role follows a hybrid work model based on proximity to our office locations. Employees who live within 75 miles of our Midtown NYC or Downtown Austin office are required to work onsite 1–2 days per week. Employees who live outside a 75-mile radius of both offices are eligible for fully remote work.

What You'll Do

• Design and run the operating model for a pod-based design org: designers embedded in cross-functional product pods, owning continuity per product area, no central ticket queue.
• Drive adoption of AI-first design practices: designers prototyping from the live codebase and design system with Claude (or equivalent), shipping working interaction detail instead of static comps.
• Own design-to-engineering handoff so interaction details, the details that get lost between Figma and code, are captured, accurate, and buildable on arrival.
• Own agent experience (AX) operations: coordinate the evals, guardrails, and agent primitives (permissions, tool access, escalation paths, failure handling) that let agents operate reliably and safely across the product.
• Define how humans and agents hand off to each other, and how multiple agents coordinate with each other, so collaboration is designed on purpose rather than emerging by accident.
• Define and track the metrics that prove the org is moving faster and improving the overall experience: prototyping velocity, handoff quality, cycle time, agent eval coverage, and AI-tooling adoption on both the human and agent sides.
• Run planning, prioritization, and cross-pod cadence, including shared or infrastructure-level design work that spans product lines.
• Support customer co-build and live-prototyping sessions, making sure what's learned scales across similar customers instead of staying one-off.
• Partner with the UX Director and pod leads to onboard designers into the AI-first workflow and raise the bar on tooling fluency, design judgment, and agentic design skill.
• Operate as connective tissue across a flat org, no management layer between designers and the Director, coordinating standards rather than managing headcount.

Required Qualifications:

• 5+ years in design/UX operations, program management, or a similar operating role, ideally in B2B SaaS (B2C patterns don't transfer well here).
• Direct experience running AI-enabled design workflows: designers working from a live codebase and design system, producing interactive prototypes, and handing off implementation-ready specs to engineering.
• A real point of view on AI-first design-to-engineering workflows, formed by doing it, not just using an AI tool. You can speak to tooling, process, and the tradeoffs you've hit.
• Some direct exposure to agent evaluation, guardrails, or agent-facing product design, whether that's building evals, defining agent permission/escalation models, or designing how a product surfaces to an AI agent versus a human.
• A track record of replacing centralized, ticket-based intake with embedded, pod-based ownership, or a clear, credible plan for how you'd do it.
• Comfort operating without a rigid management hierarchy, driving standards across teams you don't manage.
• Strong cross-functional operating skill: you can run planning and prioritization cadences across design, product, engineering, and security without becoming another approval layer.
• A bias toward rapid, disposable prototyping over precious, over-invested design work.

Preferred Qualifications:

• Background in cybersecurity, threat intelligence, or another security-adjacent B2B SaaS product.
• Experience standing up or scaling an AI-first product development practice at a company going through the same transition (e.g., rolling out agentic coding or design tools org-wide).
• Experience running customer co-build or live-prototyping sessions with enterprise customers.
• Experience building or operating multi-agent systems, or defining eval frameworks for agent behavior in production.

The estimated total compensation range for this position is $185,000 - $230,000 (base plus bonus). Actual compensation for the position is based on a variety of factors, including, but not limited to affordability, skills, qualifications and experience, and may vary from the range. In addition to base salary, employees may also be eligible for annual performance-based incentive compensation awards and equity, among other company benefits.