Full-Time
Account Executive
Latent AI
51-200 employees
Edge AI optimization and deployment software
No salary listed
No H1B Sponsorship
Washington, DC, USA
Hybrid
Up to 50% travel; US citizenship required; DoD clearance strongly preferred.
US Citizenship, US Top Secret Clearance Required
 Sales & Account Management (1) |
|---|
- 5+ years of experience in sales, with a proven track record of success in the federal government or public sector market
- Strong knowledge of the federal procurement process and experience responding to RFPs and RFQs
- Demonstrated ability to build and maintain relationships with key stakeholders in government agencies
- Excellent communication and presentation skills, with the ability to articulate complex technical solutions to both technical and non-technical audiences
- Highly motivated, results-driven, and able to work independently in a fast-paced environment
- Experience with CRM tools and sales management software
- Strong understanding of AI/ML technologies and their applications in the public sector
- Ability to travel up to 50% of the time, as required by client engagements and company needs
- US citizenship required; DoD Clearance strongly preferred
- Develop and execute a sales strategy to identify and close new business opportunities within the federal government sector.
- Build and maintain strong relationships with key stakeholders at government agencies and other public sector organizations.
- Work closely with cross-functional teams, including product development and engineering, to align solutions with client needs and ensure successful delivery of products and services.
- Manage the entire sales cycle, from prospecting and lead generation to negotiation and closing.
- Prepare and deliver compelling sales presentations and demonstrations tailored to the unique needs of public sector clients.
- Respond to RFPs and RFQs, ensuring that proposals are customized to meet client requirements and showcase Latent AI's value proposition.
- Track and report on sales performance, using data to optimize strategies and achieve revenue targets.
- Stay informed on industry trends, government policies, and the competitive landscape to identify new opportunities and adapt sales strategies accordingly.
- Act as a trusted advisor to clients, providing guidance on AI solutions and maintaining a deep understanding of their evolving needs.
- Collaborate with the customer success team to ensure a seamless onboarding process and high levels of client satisfaction
Latent AI provides edge AI optimization through an edge MLOps workflow and an SDK called Latent LEIP to compress, secure, and deploy AI models for edge devices. Developers use LEIP to build and deploy optimized models for smartphones, sensors, and IoT, automating compression, security hardening, and performance tuning for real-time edge processing. The company differentiates itself by focusing on dedicated edge AI tooling and automated deployment for both federal and commercial clients in areas like autonomous vehicles, smart cities, and industrial IoT. Its goal is to make AI practical at the edge by simplifying deployment and reducing ongoing maintenance.
Company Size
51-200
Company Stage
Series A
Total Funding
$22.5M
Headquarters
Menlo Park, California
Founded
2018
Simplify's Take
What believers are saying
- Defense buyers need mission-ready AI that works without cloud connectivity.[3][4]
- Partnerships with Rajant and Abaco expand distribution into rugged edge systems.[6]
- AUM Ventures funding supports international expansion, including India defense markets.[6]
What critics are saying
- Hyperscalers and chip vendors can absorb edge optimization features into their stacks.
- Defense revenue depends on procurement cycles across the Air Force, Navy, and Army.[5]
- Hardware partners like Abaco and Rajant can capture the customer relationship and margin.[6]
What makes Latent AI unique
- LEIP optimizes AI for compute, energy, and memory without rewrites.[1][3]
- Latent AI sells hardware-agnostic edge deployment across diverse devices and fleets.[2][3]
- Its platform supports secure, field-updatable models in disconnected environments.[2][3]
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Benefits
Remote Work Options
Flexible Work Hours
Health Insurance
Dental Insurance
Vision Insurance
Paid Vacation
Paid Holidays
401(k) Retirement Plan
401(k) Company Match
Stock Options
Company Equity
Wellness Program
Mental Health Support
Conference Attendance Budget
Professional Development Budget
Home Office Stipend
Phone/Internet Stipend
Relocation Assistance
Parental Leave
Family Planning Benefits
Fertility Treatment Support
Adoption Assistance
Childcare Support
Elder Care Support
Gym Membership
Commuter Benefits
Meal Benefits
Education allowance
Tuition Reimbursement
Growth & Insights and Company News
6 month growth
↑ 0%1 year growth
↓ -1%2 year growth
↑ 6%Latent AI and Rajant Health Incorporated (RHI) Partner to deliver fleet-scale, mission-ready AI at the tactical edge. Combining Rajant's Kinetic Mesh(R) networking foundation with RHI's Cowbell platform and Latent AI's edge-native AI to deliver resilient intelligence in DDIL environments. [PRINCETON, N.J. and MALVERN, Pa.] - May 14, 2026 - Defense and industrial operators face a persistent problem: AI that performs well in controlled demonstrations but fails to deliver reliable, real-time intelligence in denied, disrupted, intermittent, or limited (DDIL) environments. The result is delayed decisions, stranded assets, and lost operational advantage. Latent AI today announced a strategic partnership with Rajant Health Incorporated (RHI), a majority-owned subsidiary of Rajant Corporation, that solves this challenge at fleet scale. Rajant provides the core Kinetic Mesh(R) networking platform that keeps systems connected in motion. RHI extends that foundation with the Cowbell distributed edge platform, unifying resilient mesh networking, distributed compute, local data pipelines, and workload orchestration. Latent AI multiplies that capability with an edge-native platform that optimizes AI for target hardware and enables secure, over-the-air deployment, monitoring, and updates, even when cloud connectivity is unavailable. Together, the three layers deliver mission-ready AI that operates reliably across heterogeneous hardware in the harshest environments, without requiring on-site engineering teams. The combined solution enables organizations to: - Deploy and update AI models across distributed fleets with minimal reengineering - Run real-time inference locally during fully disconnected or bandwidth-constrained operations - Maintain continuous model lifecycle management without on-site AI expertise - Adapt intelligence in real time as mission conditions change Latent AI has proven these capabilities in U.S. Army Project Linchpin (reducing deployment timelines from weeks to minutes) and U.S. Navy Project AMMO (33% faster model update cycles in connectivity-denied environments). "AI at the edge is not just a model deployment problem; it is a lifecycle problem across hardware, data, connectivity, and operational constraints," said Jags Kandasamy, CEO and co founder of Latent AI. "RHI's Cowbell gives AI a true operational foundation. Together, we're enabling AI to deploy, adapt, and sustain itself at fleet scale, wherever the mission demands it." Robert J. Schena, CEO of RHI, added: "This partnership reflects a fundamental shift from infrastructure that connects systems to platforms that operationalize intelligence. With Cowbell, RHI provides the distributed execution layer, and Latent AI ensures intelligence can move, adapt, and scale across that fabric." This joint solution was announced and showcased recently at the Rajant 2026 Partner Summit in Wickenburg, Arizona. About Latent AI Latent AI is the trusted edge AI company delivering mission-critical intelligence at the tactical edge. Its proven, edge-native solutions enable defense and industrial organizations to deploy, adapt, and sustain AI in denied and contested environments, interoperable across platforms, field-updatable in real time, and built for operators of every skill level. Trusted by the U.S. Department of Defense. Visit latentai.com. Media Contact: Corey Eldridge [email protected] About Rajant Health Incorporated RHI is a provider of integrated edge intelligence platforms combining resilient wireless mesh radios, distributed compute platforms, applications, and AI to enable real-time awareness and decision support in complex, dynamic, mission-critical environments. Visit rajanthealth.com.
AUM Ventures invests in Latent AI to scale hardware-agnostic edge AI globally. Last updated: March 18, 2026 4:43 pm Published March 18, 2026 AUM Ventures introduced it has invested in Latent AI to broaden the corporate's scope of edge AI options for patrons in protection, industrial and enterprise sectors. The funding highlights the rising significance of edge AI for real-time, autonomous decision-making, resilience and fewer dependency on centralized cloud infrastructure. "Most AI deployments die someplace between the lab and implementation. Our companions at AUM Ventures notice the potential that edge computing has to transform and improve AI deployments throughout industries," says Jags Kandasamy, CEO & co-founder, Latent AI. "We respect their assist of our mission to create dependable, scalable and easily-deployed AI fashions the place customers want them most within the arms of customers within the area, whatever the surroundings." AUM Ventures champions India-first AI innovation and acknowledges Latent AI's potential to assist allow safe, scalable edge AI for mission-critical use instances. Latent AI's options enable AI fashions to run instantly in-field the place the motion is, enabling low-latency insights and supporting disconnected operations. With branches in nations just like the USA, Latent AI's partnerships now embrace collaborations comparable to InferQ for bettering Indian protection operations utilizing real-time edge AI primarily based options. This funding not solely establishes India as a pacesetter in next-gen protection and industrial AI options, but in addition drives world adoption of edge-first AI techniques, strengthened by Latent AI's recent research, which highlights rising enterprise and protection demand for resilient, real-time AI on the edge. Latent AI, Sigma Protection and Abaco lately demonstrated hardware-agnostic edge AI for disconnected army operations. Associated. AI/ML | protection AI | edge AI | edge computing | Latent AI
Latent AI to chair Defense Working Group with EDGE AI FOUNDATION to advance mission-critical Edge AI. March 18, 2026 Consortium will accelerate "edge-first" technical frameworks and trusted supply chain standards for defense and allied nations. PRINCETON, N.J. - March 18, 2026 - Latent AI, the global leader in edge AI solutions, is leading a new Defense Working Group in partnership with the EDGE AI FOUNDATION, focused on advancing mission-critical edge AI capabilities for defense and government operations. The working group, chaired by Latent AI CTO and co-founder Sek Chai, represents the first consortium dedicated specifically to the technical and policy challenges of deploying artificial intelligence at the tactical edge of defense. The initiative will be formally introduced during EDGE AI San Diego 2026 from March 24-26, and will convene afterward, bringing together established technology providers, emerging startups, and defense stakeholders to address the engineering, procurement, and national security considerations unique to edge AI in operational environments. The working group will also explore a number of key challenges to adoption at scale, including: * A trusted "Blue Edge" framework, analogous to the Department of War's Blue UAS initiative, which provides procurement officers with a vetted list of approved drone vendors. Applying a similar model to edge AI hardware and software stacks would provide acquisition professionals with greater clarity and confidence when evaluating trusted, defense-grade AI solutions. * Supply chain assurance, including trusted component sourcing and rare earth dependencies, elevating the conversation beyond engineering into broader national security and policy considerations. While initially focused on U.S. defense needs, the framework is designed to support NATO and allied nations facing similar operational requirements. This will be the first defense-focused discussion for the edge AI community. At the event, Sek Chai will lead a panel discussion titled "Mission Critical Edge AI for Defense Industries," examining how defense and aerospace organizations can adopt an edge-first approach from both technology and policy perspectives, geared towards bolstering information sharing between private and federal edge AI innovators. Panel participants include Ret. Rear Admiral Doug Small (ret), Naval Information Warfare Systems Center's Senior Scientific Technical Manager for Data Science Charles Yetman, Accenture Federal Services Managing Director of Defense and Intelligence Ana Olson, and Tricia Fitzmaurice, president, WindRiverX. The Defense Working Group also includes representatives from key organizations, including Qualcomm, Dell, Syntiant, Embedl, and Expanso. A central theme of the Defense Working Group's effort will be advancing an "edge first" mindset over traditional "cloud first" architectures. For mission-critical defense applications, building for the edge from the outset, rather than retrofitting cloud-centric models, is essential to ensuring resilience, security, and operational performance. While AI innovation has accelerated rapidly in cloud and enterprise settings, defense missions demand a fundamentally different approach. Edge AI systems must operate in denied, degraded, intermittent and low-bandwidth (DDIL) environments, under strict size, weight, and power (SWaP) constraints, and within highly regulated supply chains. The Defense Working Group will focus on two primary objectives: accelerating collaboration around technical ecosystem challenges specific to mission-critical deployments and raising awareness of edge AI capabilities within defense policy and acquisition communities worldwide. Latent AI was selected to chair the Defense Working Group due to its position at the intersection of federal defense programs and commercial edge AI innovation. The Silicon Valley startup maintains active contracts across the U.S. Air Force, Navy, and Army, while cultivating a growing ecosystem of commercial technology partnerships. This dual vantage point enables Latent AI to help translate commercial innovation into mission-ready defense capabilities and serve as a connector between the defense and broader edge AI communities. Sek Chai, CTO and co-founder, Latent AI, said: "Mission-critical AI cannot be an afterthought to cloud-first design principles. Edge deployments require deliberate architectural decisions around optimization, orchestration, hardware constraints, and supply chain integrity. This working group is about building consensus on what 'edge first' truly means from both a technical and policy standpoint, ensuring systems are engineered for the environments where they must actually operate." Pete Bernard, CEO, EDGE AI FOUNDATION, said: "The EDGE AI FOUNDATION was established to advance practical, real-world AI deployment. Defense and national security represent some of the most demanding edge environments in existence. Latent AI's leadership in both commercial and defense edge AI uniquely positions the company to chair this working group and help define the standards and frameworks that will shape mission-critical deployments moving forward." To learn more about the Defense Working Group and Latent AI's participation at Edge AI 2026, visit here and check out Latent AI's deep-dive blog. About Latent AI Latent AI delivers edge AI solutions that enable rapid deployment of artificial intelligence capabilities on any device. Founded in 2018, the company's developer platform helps government and commercial organizations implement efficient, secure AI solutions at the edge. Latent AI's tools enable developers to build and update secure, adaptive models for field or laboratory use, serving defense and commercial customers. For more information, visit latentai.com. About the EDGE AI FOUNDATION The EDGE AI FOUNDATION (a California-based 501c3) is the world's largest community of edge AI developers, technology makers and academia, serving as the global hub for energy-efficient edge AI technologies. From tinyML to agentic AI, physical AI and neuromorphic computing, Latent AI is transforming AI at the network's edge and uniting industry leaders and to drive innovation, solve global challenges, and democratize AI technologies. Learn more at www.edgeaifoundation.org. Media Contact:
Latent AI announces a new investment from AUM Ventures to accelerate edge AI deployment across defense, industrial, and enterprise environments in the U.S. and India.
Latent AI, a provider of edge AI solutions, has received investment from AUM Ventures to expand its AI technologies across defense, industrial and enterprise sectors. The investment amount and valuation were not disclosed. Founded in 2018, Latent AI develops technology enabling AI models to run directly on devices rather than relying on cloud infrastructure, delivering low-latency insights for mission-critical applications. The company has established partnerships in India, including a collaboration with Inferigence Quotient to provide real-time edge AI solutions for Indian defense forces. AUM Ventures, an early-stage fund focused on India diaspora-owned and India-first AI innovation, has previously invested in deep-tech companies including Skyroot Aerospace and Azimuth AI. The funding will support Latent AI's international expansion and strengthen its presence in India's defense and AI ecosystem.