Future Secure AI

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

Product Lead

Project ManagementConfirmed live in the last 24 hours

Full-time$100k - $250kIn-person

About the Job

Requirements

At least 8 years of experience as a Business Analyst, Technical Consultant, Product Owner, Product Manager, or in a delivery-focused role in a technology or AI environment.
Working understanding of APIs and data schemas, with the ability to engage credibly with technical counterparts and assess downstream implications for the build.
Ability to understand and represent data models to enable mock data creation.
Deep knowledge of agile delivery practices and a strong track record of running sprint ceremonies and managing backlogs end-to-end.
Proven ability to serve as the primary customer liaison on complex projects, building trust, managing expectations, and maintaining clear communication throughout delivery.
Extensive experience facilitating requirement and scoping workshops with multiple stakeholders, including drafting templates, mappings, and process documentation.
Demonstrated ability to coordinate user acceptance testing, including scenario validation, session scheduling, feedback triage, and production-readiness planning.
Strong analytical skills and ability to translate ambiguous customer needs into clear, actionable requirements, user stories, and a feasible AI solution approach.
Excellent written and verbal communication skills, including ability to craft status updates and present compelling demos to customer stakeholders.
Comfort navigating fast-paced, high-accountability environments where delivery outcomes are directly tied to customer return on investment.
Proficiency in business analysis and delivery tools such as Jira and Confluence.

Responsibilities

Act as the single point of accountability for project delivery, owning specifications, design, and delivery outcomes across the full lifecycle.
Map end-to-end customer journeys, define and scope use cases, manage scope changes, and drive customer alignment throughout.
Own as-is process documentation during initial discovery and lead scoping workshops, translating customer needs into a well-defined AI solution design.
Surface major scope deviations and material budget impacts as early delivery risks.
Conduct detailed analysis of data, processes, and workflows to support decision-making and risk management.
Partner with Engineering on project design, non-functional requirements, API discovery, feasibility, and AI product readiness.
Lead agile ceremonies and sprint activities, including writing and validating user stories, tracking scope, and removing blockers.
Plan and facilitate low-fidelity demos at each milestone and manage customer expectations to keep stakeholders informed and aligned.
Coordinate user acceptance testing end-to-end by facilitating kickoff, scheduling review sessions, triaging feedback, and owning the Go/No Go decision with the customer.
Work across a portfolio of complex and ambiguous use cases in varying industries, contributing to emerging AI projects.
Serve as the primary customer-facing lead during the build and run weekly status cadences.
Partner with Engagement Leads to translate customer requirements into a use case execution project plan and roadmap.
Support Engagement Leads by providing use-case-level context and completion status.
Join customer meetings to validate requirements and address concerns constructively, ensuring transparency in communication.

Desired Qualifications

Enjoy fast results, continuous improvement, and being part of a rapidly scaling organization.
Confidence in customer-facing situations, especially when challenges arise, and ability to reset direction gracefully.

About the Company

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.

About the Role

We are hiring an exceptional Product Lead to serve as the voice of the customer and own end-to-end delivery of complex AI projects from scoping through post-delivery, ensuring high-impact results are delivered on time and on spec. Working closely with engineers, data scientists, and quality specialists, this role is for someone who thrives in a cross-functional team delivery environment. You will be accountable for the use case delivery vision, bring clarity to teams on project ROI, and drive customer alignment across a rapidly growing AI delivery organization.

This role is ideal for an AI product expert who combines deep product management, technical fluency, project excellence, and agile execution depth. You will partner closely with our Engagement Leads and team leadership to build high-quality use cases and ensure our customers are confident in and delighted by our results.

Responsibilities

Act as the single point of accountability for project delivery, owning the specifications, design, and delivery outcomes across the full lifecycle
Map end-to-end customer journeys, define and scope Use Cases, manage scope change, and drive customer alignment throughout
Own the as-is process documentation during initial discovery and lead scoping workshops, translating customer needs into a well-defined AI solution design
Act as an early warning system for delivery risks, surfacing major scope deviations and material budget impacts
Conduct detailed analysis of data, processes, and workflows to support decision-making and risk management
Partner closely with Engineering on project design, non-functional requirements, API discovery, feasibility, and AI product readiness
Lead all agile ceremonies and sprint activities, including writing and validating user stories, tracking scope, and removing blockers that slow the team down
Plan and facilitate lo-fi demos at each milestone and manage customer expectations to keep stakeholders informed and aligned
Coordinate UAT end-to-end: facilitate the UAT kick-off, schedule review sessions, triage feedback, and own the Go/No Go decision with the customer
Work across a portfolio of complex and often ambiguous use cases in varying industries, contributing to new emerging AI projects
Serve as the primary customer-facing lead during the build, running weekly status cadences
Partner closely with Engagement Leads to translate customer requirements into a use case execution project plan and roadmap
Support Engagement Leads by providing use case level context and completion status
Join customer meetings to validate requirements and address concerns constructively, ensuring transparency in communication

Minimum Qualifications

8+ years of experience as a Business Analyst, Technical Consultant, Product Owner, Product Manager, or in a delivery-focused role in a technology or AI environment
Working understanding of APIs and data schemas, with the ability to engage credibly with technical counterparts and assess downstream implications for the build
Ability to understand and represent data models to enable mock data creation
Deep knowledge of agile delivery practices with a strong track record of running sprint ceremonies and managing backlogs end-to-end
Proven ability to serve as the primary customer liaison on complex projects, building trust, managing expectations, and maintaining clear communication throughout delivery
Extensive experience facilitating requirement and scoping workshops with multiple stakeholders, including drafting templates, mappings, and process documentation
Demonstrated ability to coordinate UAT, including scenario validation, session scheduling, feedback triage, and production-readiness planning
Strong analytical skills with the ability to translate ambiguous customer needs into clear, actionable requirements, user stories, and a feasible AI solution approach
Excellent written and verbal communication skills, including the ability to craft status updates and present compelling demos to customer stakeholders
Comfortable navigating fast-paced, high-accountability environments where delivery outcomes are directly tied to customer ROI
Proficiency in business analysis and delivery tools such as Jira and Confluence

Preferred Qualifications

Someone who enjoys fast results, continuous improvement, and being part of something scaling quickly
Confident in front of customers, especially when things get tough, and able to reset direction gracefully

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

Future Secure AI Privacy Policy

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). Our Privacy Policy outlines how we collect, use, share, and protect your personal data when you visit our website atwww.futuresecure.ai(the "Website") and use our services.

Salary Band: 100000.0 - 250000.0 USD

About the Company

Future Secure AI

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

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: Not listed
Total funding: Not listed
Headquarters: Not listed
Founded: Not listed

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