Product Manager, AI Studio
Presidio
full-time
Posted on:
Location Type: Remote
Location: United States
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Tech Stack
About the role
- Define and maintain the AI Studio product roadmap across its future releases, spanning multi-agent systems, self-improving agents, voice mode, enterprise memory graph, and autonomous agent teams.
- Own and prioritize the product backlog in collaboration with engineering, design, and practice leads, translating business goals and customer needs into actionable epics and user stories.
- Facilitate sprint planning, backlog grooming, and sprint reviews, ensuring alignment between short-term delivery and long-term platform vision.
- Establish clear OKRs, success metrics, and KPIs — tracking adoption, agent creation, workspace utilization, cost efficiency, and customer satisfaction.
- Balance competing priorities across internal platform needs, customer-facing features, and commercialization workstreams.
- Lead the end-to-end commercialization of AI Studio, defining the packaging, pricing, and go-to-market strategy in partnership with Sales, Marketing, and Finance.
- Develop monetization models including SaaS/platform subscriptions (per workspace, per agent, per connector), connector marketplace, enterprise licensing, and white-label options.
- Build business cases, competitive positioning, and market analysis for AI Studio as a standalone commercial offering competing in the emerging AgentOps/AI Application Platform market.
- Define and manage the connector marketplace strategy — curating premium integrations and establishing a model for third-party contributions.
- Partner with Presidio's practice leaders across Modern Networks, Data & AI, Security, and Cloud to embed AI Studio into client-facing solution offerings.
- Support pre-sales activities including demos, RFP responses, and customer workshops.
- Stay ahead of the rapidly evolving AgentOps landscape — monitoring competitors (LangChain, Dust, Copilot Studio, CrewAI, n8n) and emerging standards such as MCP and A2A.
- Define the platform's differentiation story as 'enterprise-grade AgentOps + MCP connector fabric' — ensuring AI Studio is clearly positioned vs. developer-centric frameworks and flow-based tools.
- Drive the governance and guardrails roadmap, including gateway controls, cost allocation, token management, and enterprise security compliance.
- Champion platform observability, semantic monitoring, and self-improving agent capabilities as enterprise differentiators.
- Identify and address platform challenges: managing cost at scale, proper token handling, multi-source support requests, and enterprise cost allocation.
- Serve as the primary voice of the customer and internal user base (450+ users across 5+ practices) — gathering feedback, synthesizing insights, and feeding them into the roadmap.
- Partner closely with the AI Studio engineering team, SEG architects, and cross-functional leaders to align on build vs. buy decisions and platform investments.
- Communicate roadmap, progress, and strategic direction to executive stakeholders, practice leads, and external customers.
- Drive internal enablement: ensure that Presidio teams understand how to leverage AI Studio in customer engagements and delivery.
Requirements
- Bachelor's degree or equivalent experience and/or military experience
- Overall 6-8+ years of experience of product management experience, with at least 2 years on a technical platform or developer-facing product
- Proven track record of owning and executing a product roadmap from 0→1 and through scaling phases
- Strong command of Agile methodologies — backlog management, sprint ceremonies, story writing, and release planning
- Experience commercializing a platform or SaaS product — including pricing strategy, packaging, and GTM execution
- Ability to work at the intersection of technology and business: translating complex AI/ML capabilities into customer value propositions
- Excellent written and verbal communication; ability to present confidently to executives, engineers, and clients
- Data-driven mindset with experience defining and tracking product metrics and KPIs.
- Hands-on experience with generative AI, LLM-based products, or AI agent frameworks (LangChain, CrewAI, AutoGen, MCP)
- Experience at a technology services company, systems integrator, or platform company serving enterprise clients
- Background in or exposure to sectors Presidio serves: networking, security, cloud, or data infrastructure
- Experience with monitoring/observability, API management, or AI governance
- Ability to write basic Python or familiarity with APIs and cloud environments (AWS, Azure, GCP).
Benefits
- Competitive salary
- Flexible working hours
- Professional development budget
- Home office setup allowance
- Global team events
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
product managementAgile methodologiesbacklog managementsprint planninguser story writingproduct metricsgenerative AILLM-based productsAPI managementPython
Soft Skills
communicationcollaborationdata-driven mindsetpresentation skillscustomer advocacystrategic thinkingleadershipproblem-solvingprioritizationfeedback synthesis
Certifications
Bachelor's degreemilitary experience