Future Secure AI

Head of Product Operations

Austin, TX

Sponsorship not specifiedDetected 14 days ago

ExpressAzureDevOpsJiraConfluenceStakeholder ManagementCadenceLeadershipCommunicationSharePoint

About the role

Reporting to the Chief Product Officer, you will act as the coordination layer across all three platform functions, creating the visibility, cadence and decision discipline that allows the broader platform organization to operate as a coherent unit.

Own the weekly prioritization cadence and monthly product and platform update rhythm across Product, Engineering and Architecture, coordinating cross-functional roadmap reviews with GTM, Delivery and executive stakeholders
Build and own a single intake process for product-related asks, ensuring requests are classified, routed and tracked across all relevant categories, with clear visibility of roadmap work, operational items, customer exceptions and executive trade-off decisions
Maintain the product decision log, tracking open trade-offs, risks, dependencies and escalation points so decisions are visible, current and communicated to the right audiences
Support Product and Engineering in maintaining a capacity-backed roadmap view, surfacing engineering, delivery and customer dependencies that affect roadmap confidence
Own product portal governance, ensuring GTM guidance, capability status, intake links and roadmap updates remain current and coordinated
Directly manage four specialist leads across Product Analytics, Market Intelligence, Quality & Standards and GTM Enablement, setting direction, hiring, developing and holding the team to a high standard of output
Proven people management experience, with a track record of directly managing a team and building function capability over time
Demonstrated ability to build and run operating cadences across product and engineering organizations

7+ years in Product Operations, Product Management, Strategy & Operations, Chief of Staff, Program Operations or a comparable operating role
Experience working in complex B2B SaaS, platform, cloud, AI, infrastructure or enterprise software environments
Strong stakeholder management experience across Product, Engineering, GTM, Delivery and executive teams

Experience standing up intake, prioritization or roadmap governance processes from scratch
Familiarity with developer platforms, AI platforms, enterprise SaaS or workflow and orchestration products
Experience working in high-growth scale-up environments with changing priorities and high ambiguity
Familiarity with product portals, road mapping tools, Jira, Azure DevOps, Confluence, SharePoint or similar
A high-performance culture
State-of-the-art technology
Experience world-class leadership
Scale of impact and purpose

At Future Secure AI, we're building something genuinely new - and we're looking for people bold enough to build it with us.
We work at the frontier of AI, tackling big, real-world problems for global enterprises across multiple industries, armed with state-of-the-art technology and a culture that prizes courage, rigor, and relentless curiosity.
Our BRAVER values aren't just words on a wall - they describe the kind of people we are and the standard we hold ourselves to every day.
Our leadership team is entrepreneurial, experienced, and accessible, with an open-door policy that means you'll never be just a number here.
We invest seriously in your growth because we know our success depends on yours.
If you're ready to work alongside some of the brightest minds in the industry, push into uncharted territory, and do work that genuinely matters, Future Secure AI is the place for you.
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.
At Future Secure AI, we are committed to protecting your privacy and adhering to the principles of the General Data Protection Regulation (GDPR) and the Australian Privacy Principles (APPs) under the Privacy Act 1988 (Cth).

This listing is sourced directly from Future Secure AI's careers page and normalized into a canonical job model.