Senior Technical Engagement Manager

• 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.

• 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.
• 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.

• 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

Bonuses and equity are included in offers above entry level.