About us:

Let’s be real: AI isn’t magic. Legion was built to slice through hype and deliver secure, dependable agentic systems that work alongside the people tackling the world’s most critical challenges. Born from a DoW partnership and trusted by leaders across government and enterprise, Legion embeds intelligence inside complex systems—unlocking data, accelerating human workflows, and hardening mission-critical operations.

From the forward edge to Fortune 500 back-offices, our agentic platform drops AI into the software people already use, optimizing—not replacing—workflows. With world-class collaborators like NVIDIA, HPE, Palantir, and Oracle, we’re building infrastructure that boosts human capability everywhere it runs.

We’re looking for bold thinkers and doers to join us in shaping an AI future that’s secure, grounded, and built to work.

Role Overview:

This senior product leadership role leverages all parts of Legion’s platform, from applied AI to next-generation user experiences. You will focus on building delightful products on the platform that deliver intelligent, agentic workflows to define the future of work in the enterprise. This role requires a unique balance of systems thinking, product intuition, and execution rigor. You’ll partner closely across the business, including engineering and design, deployment, customer success, and marketing, to ensure the success of agent-driven solutions from definition to launch and engagement.

Due to Government contract requirements, we are only able to hire US citizens or Green Card holders.

What you'll bring:

• 6+ years designing and delivering enterprise products in a Product Management role, especially within large-scale enterprise applications.
• Hands-on with AI capabilities, having a taste for how it can transform business processes.
• Success in taking a data-driven approach and delivering impactful business results
• Proficiency in program/project management, and success in managing complex program/project deliverables across multiple teams
• Ability to make and represent trade-offs against product, technical, and business needs
• Ability to develop and execute a successful product roadmap
• Proven experience in defining big visions and inspiring teams to deliver innovative and impactful products
• Track record of working closely with customers, partners, listening, and taking a customer-focused approach to strategy and priorities - passion for the customer
• Excellent collaboration skills - leading execution across teams, influencing across organizations
• Inspiring communication skills - for small teams to executives and larger groups as well
• BS or MS degree in a technical field preferred, or equivalent work experience
  
  

How you will lead:

• Define and lead the vision and strategy for Legion’s enterprise agent/workflow solutions, promoting growth and collaboration between humans and agents
• Provide product thought leadership in identifying critical customer requirements, understanding business goals, defining product end state, and working with both engineering and design in designing delightful experiences and scalable services
• Champion and evangelize the platform both internally and externally in key stakeholder meetings, product demos, conferences, and public forums
• Partner with marketing, customer success, and delivery teams to identify reusable product workflows and use cases, as well as optimizations for how we deploy and scale
• Drive with curiosity and clarity. Be a superuser of the platform, identify rough edges and boundaries, and proactively design for them. Use data, research, and competitive analysis to inform every execution step.
• Balance high-velocity execution with delightful product experience and architectural rigor, moving from crisp specs to collaboration with engineering on tradeoffs and systemic improvements
• Operate with extreme ownership by seeing problems before they arise, clarifying ambiguity, and creating momentum that others rally around.

Company overview:

Let’s be real: AI isn’t magic. Legion was built to slice through hype and deliver secure, dependable agentic systems that work alongside the people tackling the world’s most critical challenges. Born from a DoW partnership and trusted by leaders across government and enterprise, Legion embeds intelligence inside complex systems—unlocking data, accelerating human workflows, and hardening mission-critical operations.

From the forward edge to Fortune 500 back-offices, our agentic platform drops AI into the software people already use, optimizing—not replacing—workflows. With world-class collaborators like NVIDIA, HPE, Palantir, and Oracle, we’re building infrastructure that boosts human capability everywhere it runs.

We’re looking for bold thinkers and doers to join us in shaping an AI future that’s secure, grounded, and built to work.

Role Overview:

As an Engineering Manager at Legion Intelligence, you will play a pivotal role in leading and supporting a team of platform and infrastructure engineers. You'll collaborate closely with go-to-market teams to ensure our roadmap aligns with the business's strategic goals. This role requires a deep dive into technical challenges surrounding secure and scalable workflows, driving innovation in product development, and creating a culture of collaboration, innovation, and high-impact.

Key Responsibilities:

• Own the design, reliability, scalability, and security of the platform infrastructure supporting production Agentic AI systems.
• Bring an informed perspective and implement best practices around identity and access controls
• Establish clear patterns for service design, deployment, and inter-service communication.
• Own system observability (logging, metrics, tracing) and operational readiness.
• Set technical direction for infrastructure components written in Rust, ensuring performance, safety, and maintainability.
• Collaborate with go-to-market teams to align roadmap with business goals.
• Recruit, mentor, and retain high-performing engineers, fostering a culture of innovation and collaboration.
• Leverage passion for agentic AI and enterprise nuances to deliver solutions that enhance user experience.

Requirements:

• 2-3+ years of experience hiring and leading teams as an engineering manager.
• 10+ years of experience as a senior individual contributor, with strong experience in software architecture in enterprise product development.
• Experience in Rust – our team works almost exclusively in Rust, and you must be comfortable operating in a Rust-heavy environment
• Hands-on experience with cloud infrastructure and container orchestration with Kubernetes
• Experience supporting AI/ML platforms, including model serving, agent workflows, and MCP.
• Excitement and curiosity for 0->1 product development, with a track record of turning innovative ideas into successful features.
• Attend onsite meetings 2-3 days a month. Location of on-sites may vary
• Must be eligible to work in the US without sponsorship.

Preferred Qualifications:

• Knowledge and experience in Agentic AI and its various applications.
• Experience designing for multi-tenant or on-prem/air-gapped environments.

About us:

Let’s be real, AI isn’t magic; Legion was built to move beyond AI hype—delivering secure, reliable systems that work alongside the people tackling the world’s most critical challenges.

Born from a Department of Defense partnership and trusted by leaders across government and enterprise, Legion embeds intelligence inside complex systems, unlocking data, accelerating human workflows, and strengthening mission-critical systems. We don’t replace workflows—we optimize them, ensuring quality, efficiency, and reliability inside the platforms our partners already use.

With world-class collaborators like Palantir, Nvidia, HPE, and Oracle, we’re building intelligent infrastructure that enhances human capability and drives impact at the edge and across a range of enterprises.

We’re looking for bold thinkers and doers to join us in shaping the future of AI that’s secure, grounded, and built to work.

Job Summary:

Are you an experienced Applied Machine Learning Engineer who thrives in a fast-paced, collaborative team? We seek a highly skilled Senior Applied Machine Learning Engineer to join our Applied ML team. In this role, you will leverage your expertise in AI/ML engineering to design, develop, and deploy innovative machine learning and algorithmic solutions. 

If you are adept at building models that solve hard problems, we encourage you to apply. You will collaborate closely with platform engineers and product partners, bringing a strong product orientation to your ML work.

Responsibilities:

• Lead the development of machine learning models and data-driven algorithms for high impact projects
• Collaborate with product and platform teams to own ML solutions end-to-end
• Understand the runtime complexity of algorithms and the cost to run ML models at a production scale
• Clearly communicate modeling decisions, tradeoffs, and limitations to technical and non-technical stakeholders
• Build, deliver, and maintain enterprise products, ensuring they meet high-quality standards while shipping fast
• Take ownership of your work, from design to implementation and maintenance, and drive projects to successful completion
• Support production systems, handling debugging challenges in distributed systems to ensure reliability and uptime
• Adapt quickly, bringing in latest developments in AI and machine learning, and proactively apply this knowledge to drive innovation within the company

Required Skills and Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, NLP
• Minimum 5+ years of experience in applied machine learning, with a track record of delivering enterprise products
• Proven experience in Generative AI, including fine-tuning, optimizing, and evaluating LLMs, RAG pipelines, and Agentic AI systems
• Strong proficiency with AI/ML/NLP techniques, resources and methodologies (ex: Huggingface, Spacy, Scikit-learn, Pytorch).
• Strong communication skills and the ability to collaborate effectively with cross-functional teams
• Comfortable supporting production systems and debugging challenges in distributed systems
• Demonstrated effectiveness in using AI tooling to accelerate research and development workflows
• Growth mindset and low ego- you’re eager to pick up new tools and technologies, learn from others, and being open to changing course when it’s right

Preferred Qualifications:

• Start-up experience or comfort in 0→1 product environments.
• Familiarity with Kubernetes is a plus.
• Experience integrating machine learning models and data driven algorithms into larger system architectures.