Who we are

Latent AI is a well-funded spinout from SRI International, based on years of DARPA research. We design advanced, yet easy to use, software developer tools that take the hard work out of embedding complex AI models into lean edge devices. We transform the way developers train AI for the edge, enabling rapid AI deployment, speed to market and scalability. Our patented Adaptive AI™ technology can be used on any edge hardware, framework, OS or architecture -- and gives us a true competitive market advantage. We are on contract with various services within DoD and are on track to achieve 6x growth this year.

Latent AI is backed by Future Ventures, Blackhorn Ventures, Auto Tech Ventures, Booz Allen Hamilton, Lockheed Martin, Standard Investments, Pegasus Tech Ventures, and SRI International.

What we do

Latent AI enables creation of more robust, efficient, and agile edge applications that improve user adoption and mission impact.Our current product mission is simplifying and accelerating traditional AI workflows from model training and optimization to deployment and support. Our flagship product, the Latent AI Efficient Inference Platform™ (LEIP), is a unified SDK built for machine learning engineers and AI software developers. Our solutions are being used in more places than ever before including manufacturing automation, predictive maintenance, process control, consumer electronics, and defense and aerospace applications. And we are just getting started.

Who we're looking for

Latent AI is dedicated to unlocking the power of efficient and practical AI for real-world applications. Our deep expertise empowers organizations to seamlessly integrate AI into their operations, revolutionizing how they utilize edge devices. We understand the complexities of bringing AI to diverse devices. That's why we create solutions that simplify the process, making it accessible to a broader range of developers. This enables organizations to build better, safer AI faster.

As the VP of Operations and Engineering at Latent AI, you will be the primary engine of execution, responsible for transforming our high-level technical vision into scalable customer success and operational excellence. This is a critical leadership role that bridges the gap between our innovative core technology and the rapid revenue growth required in the enterprise AI market.

You will lead a multi-unit team, including Engineering and Customer Success, ensuring our products are not only built to the highest standards but also successfully deployed and adopted by our enterprise partners.

What you’ll do

Core Responsibilities

1. Operational & Engineering Leadership

• Team Orchestration: Lead, mentor, and scale the engineering and project management teams. You will manage managers to ensure high-performing delivery cycles and resource optimization.
• Execution Roadmap: Partner closely with the CTO to align product direction, work across departments, and translate technical innovations into buildable, shippable, and reliable software.
• Enterprise Scaling: Drive the maturation of our engineering processes (Agile, DevOps) to support rigorous enterprise-grade SLAs and security standards.

2. Customer Success & Delivery

• End-to-End Success: Own the customer journey pre-sale, post-sale, from initial evaluation, implementation, and integration to long-term retention and expansion.
• Project Governance: Oversee the project management to ensure all customer deliveries are on time, within scope, and aligned with mission-critical requirements.
• Feedback Loop: Act as the "voice of the customer" back to the CTO and product teams to ensure our roadmap is prioritized based on real-world field data and revenue opportunities.

3. Strategic Business Growth

• Revenue Enablement: Collaborate with Marketing and Sales to understand market demands and prioritize engineering resources toward the highest-value customer needs.
• Executive Reporting: Report directly to the CEO on operational health, delivery milestones, and KPIs related to customer churn, time-to-market, and team velocity.

How we decide

Required Qualifications

• Enterprise Software Pedigree: Deep experience in the enterprise software lifecycle (SaaS, On-Prem, or Edge) with a track record of scaling operations in a high-growth environment.
• Engineering Management: While a "coding" background is not required, you must have significant experience managing engineering organizations and a strong grasp of software architecture and delivery methodologies.
• Cross-Functional Mastery: Proven ability to influence and collaborate with both deeply technical founders and commercially focused leaders.
• Execution Mindset: A "get-it-done" attitude with the ability to build processes from scratch where none exist.

Preferred Qualifications / Achievements:

• Experience leading global teams and managing international operations.
• Demonstrated ability to scale product organizations, implement agile methodologies, and drive cloud-native product transformations.
• Track record of industry recognition, awards, or professional achievements, demonstrating a high-performance mindset and personal drive.
• Passion for mentoring and developing talent across the organization.

Personal Attributes:

• Thrives in competitive, high-performance environments.
• Strong problem-solving and creative thinking abilities.
• Committed to team collaboration and delivering measurable business outcomes.
• Highly adaptable to complex, evolving business landscapes.

Location, Travel, and Other Requirements

• Base Location: Princeton, NJ
• Travel / Presence: Candidates who are not local to Princeton must be willing to travel frequently to the office to maintain a strong in-person presence with the engineering and executive teams.
• Work Authorization: Preference will be given to U.S. citizens.