Technical Engagement Manager, U.S. Public Sector

About Invisible

Invisible Technologies makes AI work. Our end-to-end AI platform structures messy data automates digital workflows deploys agentic solutions measures outcomes and integrates human expertise where it matters most.

Our platform cleans labels and structures company data so it is ready for AI. It adapts models to each business and adds human expertise when needed the same approach we have used to improve models for more than 80% of the worlds top AI companies including Microsoft AWS and Cohere.

Our successes span industries from supply chain automation for Swiss Gear to AI-enabled naval simulations with SAIC and validating NBA draft picks for the Charlotte Hornets.

Profitable for more than half a decade Invisible reached $134M in revenue and ranked as the number two fastest growing AI company on the 2024 Inc. 5000. In September 2025 we raised $100M in growth capital to accelerate our mission of making AI actually work in the enterprise and to advance our platform technology.

About The Role

As a Technical Engagement Manager youll support programs for the U.S. Department of Defense. Youll be at the heart of customer success for our AI platform. Youll serve as the project manager leading technical engagements with enterprise clients ensuring they realize value from our AI-enabled solutions from onboarding and implementation to long-term enablement.

This role blends solution architecture technical consulting and project delivery making you a key partner in helping customers transform their organizations with AI.

What Youll Do

• Act as the primary technical liaison translating client needs and complex business problems into clear measurable AI-enabled solutions.
• Lead the end-to-end delivery of simultaneous technical engagements from kickoff to post-deployment optimization managing project progress risks and dependencies.
• Guide enterprise clients through the integration of our AI platform with their data and systems ensuring adherence to relevant security and compliance frameworks.
• Collaborate with internal and external stakeholders facilitating workshops training and onboarding to align technical and nontechnical teams on goals timelines and deliverables.
• Document and share best practices reusable solutions and integration playbooks to scale knowledge across the organization.
• Identify and advocate for product enhancements and new use cases based on client feedback and evolving needs.
• Maintain a deep sense of ownership over customer success constantly seeking ways to deliver more value whether through internal advocacy platform expansion or strategic upselling.

What We Need

Experience:

• Active U.S. Department of War Secret Clearance or higher
• Experience in defense intelligence or other regulated industries (e.g. healthcare finance) using AI/ML
• 5 years in customer-facing roles: Proven track record in managing complex multi-stakeholder engagements whether thats in customer success project management or consulting
• Experience managing external and internal stakeholders in the defense industry or public sector with an emphasis on SaaS AI or data driven solutions. Comfortable partnering with diverse stakeholders from C-Suite General/Flag Officers to technical experts.

Skills:

• Relationship-building: A significant portion of the role involves building trust with clients and partners. You should be skilled at maintaining strong relationships managing expectations and ensuring that customers feel supported throughout the lifecycle of their engagement.
• Technical fluency in AI/ML or Data Solutions: You dont need to be a data scientist but having a general understanding of AI/ML concepts is key. Youll be working alongside technical teams so the ability to understand data workflows model development and the basic principles of machine learning will enable you to communicate effectively and ensure the solutions meet client needs.

Bonus Points

• Knowledge of Responsible AI model governance or explainability tools
• Certifications in cloud platforms (e.g. AWS Certified ML Specialty GCP Professional Data Engineer)
• Project management certification (PMP CSM) or Agile delivery experience

You can find more information about our geographic pay tiershere. During the interview process your Invisible Talent Acquisition Partner will confirm which tier applies to your location. For candidates outside the U.S. compensation is adjusted to reflect local market conditions and cost of living.

Bonuses and equity are included in offers above entry level. Final compensation is determined by a combination of factors including location job-related experience skills knowledge internal pay equity and overall market conditions. Because of this every offer is unique. Additional details on total compensation and benefits will be discussed during the hiring process

What Its Like to Work at Invisible:

At Invisible were not just redefining workwere reinventing it. We operate at the intersection of advanced AI and human ingenuity pushing the boundaries of whats possible to unlock productivity and scale. Ownership is at the core of everything we do. Here you wont just execute tasksyoull build innovate and shape the future alongside world-class clients pushing the boundaries of AI.

We expect bold ideas relentless drive and the ability to turn ambiguity into opportunity. The pace is fast the challenges are big and the growth is unmatched. Were not for everyone and were okay with that. If youre looking for predictable routines this isnt the place for you. But if youre driven to create thrive in dynamic environments and want a front-row seat to the AI revolution youll fit right in.

Country Hiring Guidelines:
Invisible is a hybrid organization with offices and team members located around the world. While some roles may offer remote flexibility most positions involve in-office collaboration and are tied to specific locations. Any location-based requirements or hybrid expectations will be communicated by our Talent Acquisition team during the recruiting process.

AI Interviewing Guidelines:
Our hiring team thoughtfully uses AI to support an efficient engaging and inclusive interview process. Since AI can also be a helpful tool for candidates weve outlined expectations for using it ethically throughout your interview journey.Click here to learn more about how we use AI and our guidelines for candidates.

Accessibility Statement:
Were committed to providing reasonable accommodations for individuals with disabilities. If you need assistance or accommodation due to a disability please contact our Talent Acquisition team during the recruitment process at.

Equal Opportunity Statement:
Were an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race color religion sex national origin disability or veteran status or any other basis protected by law.

Due to a high volume of candidates Invisible may use automated decision-maker technologies to filter candidates based on response to our application questions and other provided information. Our use of automated decision-making enables us to be efficient by providing a manageable list of possible candidates that meet our mandatory hiring criteria. If you object to our use of automated decision-making please contact us.