Technical Engagement Manager, U.S. Public Sector
Invisible Technologies
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 world’s 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, you’ll support programs for the U.S. Department of Defense. You’ll be at the heart of customer success for our AI platform. You’ll 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 You’ll 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 that’s 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 don’t need to be a data scientist, but having a general understanding of AI/ML concepts is key. You’ll 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 tiers here. 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 It's Like to Work at Invisible:
At Invisible, we’re not just redefining work—we’re reinventing it. We operate at the intersection of advanced AI and human ingenuity, pushing the boundaries of what’s possible to unlock productivity and scale. Ownership is at the core of everything we do. Here, you won’t just execute tasks—you’ll 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. We’re not for everyone, and we’re okay with that. If you’re looking for predictable routines, this isn’t the place for you. But if you’re driven to create, thrive in dynamic environments, and want a front-row seat to the AI revolution, you’ll 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, we've 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:
We’re 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 accommodation@invisible.email.
Equal Opportunity Statement:
We’re 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.
