Full-Time

Senior Product Manager Map/Reuse

Future Secure AI

Future Secure AI

201-500 employees

Delivers persona-based, multi-agent enterprise AI Co-Workers

No salary listed

Austin, TX, USA

In Person

On-site in Austin, Texas; remote work not stated.

Category
Product (1)
Required Skills
Product Management
Machine Learning
REST APIs

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Requirements
  • 5+ years in product management in a B2B technology environment
  • Strong technical literacy, comfortable discussing APIs, data pipelines, ML model integration, integration patterns, and platform architecture with engineering teams
  • Experience owning platform, API, or technically-facing products where the end users are builders rather than consumers
  • Strong written communication skills; you will write standards, philosophy documents, and capability specifications that others build to, so precision matters
  • Experience defining product requirements for technical capabilities, working directly with engineering to scope and deliver
  • Able to work with high autonomy and ambiguity, drive to clarity, and maintain quality without close direction
Responsibilities
  • Write and maintain FutureSecure AI's build philosophy: the principles and standards that govern how AI-connected workflows should be constructed on our platform
  • Define the criteria for when a capability becomes a reusable component versus a bespoke implementation for a specific customer
  • Ensure the build philosophy is clear, actionable, and actively used, not a document that lives in a folder, reviewing and evolving it as the platform matures
  • Work with Platform Engineering and Delivery to validate that the philosophy reflects technical reality and is practical to follow
  • Own the Reuse roadmap: what capabilities enter the catalogue, in what priority order, and on what basis
  • Define and enforce the standards for what makes a capability catalogue-ready (e.g., quality bar, documentation requirements, test coverage, and adoption guidance)
  • Work with Platform Engineering to scope, specify, and ship new reusable capabilities from requirements through to delivery team adoption
  • Maintain the catalogue as a living product: deprecating outdated patterns, versioning evolving capabilities, and improving based on usage feedback
  • Track adoption of catalogue capabilities, identifying where delivery teams are using the catalogue versus bypassing it, and address both
  • Ensure every capability in the reuse catalogue is properly documented for delivery teams using it in customer engagements
  • Work with Product Ops and GTM Enablement to surface catalogue capabilities to the right people at the right time
  • Create or commission adoption guidance and worked examples so capabilities are used correctly, consistently, and at the right level of quality
Desired Qualifications
  • Background in AI, ML, or data product management with working familiarity with RAG architectures, OCR processing, document intelligence, embedding pipelines, or similar
  • Experience with integration platforms, API marketplaces, or reusable component libraries as a PM
  • Experience defining standards, frameworks, or architectural guidelines that other engineering teams then build to
  • Understanding of enterprise workflow software, automation platforms, or low-code/no-code build environments
  • Experience in a high-growth or scale-up environment where the catalogue or platform is still being established

Future Secure AI builds persona-based, multi-agent AI Co-Workers designed for large enterprises and private equity firms. Their core offering, Red-Zone AI Co-Workers, consists of over 100 agent personas that automate complex, high-stakes workflows. The agents integrate with a client’s core systems and governance frameworks and operate securely on the client’s network, remaining cloud- and LLM-agnostic to avoid vendor lock-in. Workflows run within a hybrid team, with AI Co-Workers reporting to human managers and maintaining human-in-the-loop oversight. The company differentiates itself by targeting mission-critical environments with on-premise deployment, strong governance, and integration into existing IT and security controls, rather than generic AI tools. Their stated goal is to deliver 10x to 20x ROI on operating costs, often paying for themselves within six months. Clients span infrastructure, services, finance, health, and connected economies.

Company Size

201-500

Company Stage

N/A

Total Funding

N/A

Headquarters

N/A

Founded

N/A

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Simplify Jobs

Simplify's Take

What believers are saying

  • Business Wire said the company will triple U.S. and Canadian headcount in 2026.
  • Alex Harvey joined the board in May 2026, strengthening IPO readiness.
  • The company claims bank reconciliations and other cost cuts, supporting rapid enterprise ROI.

What critics are saying

  • $200 million raise and planned 2027 IPO create execution pressure before revenue proof.
  • Competitors can copy persona-based agents quickly, eroding pricing power within 12 months.
  • If Red-Zone deployments fail inside client systems, trust collapses and IPO plans stall.

What makes Future Secure AI unique

  • Austin HQ in April 2026 positions Future Secure AI near U.S. enterprise buyers.
  • 100-plus-agent, persona-based Red-Zone Co-Workers target complex workflows, not generic copilots.
  • Macquarie ties and ex-McKinsey leadership give credibility with regulated enterprise customers.

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Benefits

Flexible Work Hours