Senior Product Manager- Architecture & Deployment

Future Secure AI

$120K — $150K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience as a product manager in enterprise platforms or infrastructure products
  • In-depth knowledge of enterprise deployment processes including identity and access management (IAM)
  • Experience conducting architecture reviews with enterprise clients
  • Understanding of AI system operations and the ability to communicate effectively with diverse teams
  • Proven track record of creating architecture and security documentation for enterprise customers
  • Ability to synthesize custom deployment needs into coherent platform standards
  • Collaborative mindset to work alongside senior engineers and architects

Responsibilities

  • Develop and manage the platform's identity model across organizational and infrastructure interactions
  • Define supported deployment strategies for various public-cloud platforms
  • Establish a disciplined product evaluation process for customer-specific deployments
  • Lead and facilitate architecture reviews with enterprise clientele
  • Create and maintain deployment guidelines and security models for customer assurance
  • Collaborate with engineering teams to ensure robust user experiences
  • Oversee risk assessment for customer adoption of deployment methodologies

Benefits

  • High-performance culture that fosters excellence
  • Access to state-of-the-art technology
  • Experience working with world-class leadership
  • Opportunity to make a significant impact
  • Flexible work environment promoting work-life balance
  • Emphasis on diversity and creativity in the workplace
Full Job Description
About the Role

Future Secure AI is looking for a Senior Product Manager to own the architecture and deployment surface of our enterprise agentic AI platform - the layer where the platform meets each customer's real cloud, identity, security, and operational environment. You will lead architecture conversations with enterprise customers, set up the supported deployment patterns, and own how the platform shows inside customer environments at scale. Operating as a peer of engineering, security, and architecture leaders, you will hold the views of end users, enterprise compliance teams, and platform engineers simultaneously, making trade-offs explicit and driving measurable improvement in customer time-to-deploy across new enterprise environments.

Responsibilities
  • Own the platform's identity model for AI Co-Workers across organizational identity, infrastructure-level service authentication, and downstream-system authentication, evolving it to meet the needs of regulated enterprise customers
  • Define and maintain the supported-deployment posture across major public-cloud environments, including which patterns the platform supports natively, where customer substitutions are accommodated, and where the platform draws the line
  • Build and own the disciplined product process by which customer-specific deployment variations are evaluated, tracked, and converged into standard platform patterns over time
  • Lead architecture reviews with enterprise customers, staying close enough to real deployments to know where the platform genuinely fits and where it needs to evolve
  • Own the platform's external architecture story: deployment guides, security postures, and identity model artifacts that enterprise customers rely on to assess and approve the platform
  • Partner closely with engineering leadership to ensure the platform delivers a reliable experience for the engineers and architects who build and deploy AI Co-Workers on it
  • Own value risk and viability risk: ensure customers and engineering teams adopt the supported deployment path, and that the deployment model works for legal, security, sales, and finance

Minimum Qualifications
  • Demonstrated experience shipping a platform or enterprise infrastructure product that other engineering teams adopted as the easiest correct path
  • Deep familiarity with enterprise deployments at scale: IAM, managed identity, workload identity, secret managers, network egress, and scanning postures
  • Experience leading architecture reviews with enterprise customers and accurately distinguishing signal from noise in complex stakeholder conversations
  • Working fluency with how modern AI systems operate at runtime, with the ability to translate that complexity for enterprise security, compliance, and platform teams
  • Strong written communication skills, with a track record of producing architecture documents, deployment guides, and security artifacts that enterprise customers rely on
  • Proven ability to converge customer-specific deployment variations into a coherent platform pattern, with a sunset discipline that holds up under sales pressure
  • Ability to operate as a peer to senior engineers and architects, earning early inclusion based on sound technical judgment

Preferred Qualifications
  • Background as a Platform PM at a financial-services or large-enterprise SaaS company shipping into customer environments
  • Experience as a Technical PM or product lead at an enterprise infrastructure or data-platform vendor
  • Prior background as a solutions architect, SRE, or DevOps lead who transitioned into product
  • Familiarity with cloud-agnostic and model-agnostic platform architectures in regulated enterprise contexts

Why Join Us?
  • A high-performance culture
  • State-of-the-art technology
  • Experience world-class leadership
  • Scale of impact and purpose
  • A competitive salary and a huge growth trajectory
  • Work with the best in the industry
  • Flexible work environment
  • Diversity and creativity

Disclaimer: We do not wish to be contacted by recruitment agencies. Our hiring process is managed in-house and the best way for candidates to express interest is by applying with your resume through our company website.

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