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 Legion Intelligence:

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.

The Role:

Legion is hiring a Head of Marketing Operations & Growth to architect and operate the performance engine behind our go-to-market motion.

This role reports directly to the SVP of Marketing and partners closely with Sales, Customer Success, Federal Marketing, and Product Marketing.

You will own two critical outcomes:

• A marketing infrastructure that produces clean, trusted, decision-ready data.
• Campaign programs that translate strategy into measurable pipeline impact.

This is a hands-on leadership role. You will design and optimize the systems that connect CRM, marketing automation, paid media platforms, and reporting layers. You will also build and operate high-impact campaigns across targeted accounts and priority audiences, with clear accountability for execution, optimization, and performance analysis from audience activation through results. The opportunity is to own the engine that powers Legion’s next stage of growth.

What You Will Own:

Marketing Systems and Measurement Architecture

• Own the architecture and performance of Legion’s marketing systems, ensuring clean integration between marketing automation, paid media platforms, and the Salesforce CRM so data flows reliably across the funnel.
• Define and implement attribution models, UTM governance, lifecycle stages, routing logic, and campaign taxonomy.
• Establish clear definitions for funnel stages and handoffs across Marketing and Sales.
• Build executive-ready dashboards and reporting frameworks that connect marketing activity to pipeline and revenue outcomes.
• Improve data integrity, governance, and tracking discipline across all campaigns.

Performance Campaign Strategy and Execution

• Design and execute targeted outbound and ABM-style campaigns across priority accounts and verticals.
• Build and manage paid programs directly, including audience segmentation, list strategy, targeting configuration, budget allocation, creative selection, testing frameworks, and performance reporting.
• Lead full-funnel campaign planning from offer strategy and landing experience through retargeting and conversion measurement.
• Run structured experimentation across targeting, creative, messaging inputs, and spend allocation.
• Translate performance data into decisive action: reallocate budget, refine audience criteria, adjust creative direction, and prioritize high-signal segments.

Targeted Account Programs and Sales Alignment

• Develop targeted account programs aligned to complex, multi-stakeholder buying cycles.
• Partner with Sales to align on account selection, engagement sequencing, and feedback loops.
• Ensure campaigns support long-cycle, relationship-driven sales motions without overlapping into sales enablement ownership.

Operating Cadence and Performance Discipline

• Establish weekly and monthly performance rhythms that drive decisions, not status updates.
• Surface insights proactively and tie campaign results back to strategic marketing and GTM priorities.
• Use modern AI-driven tools to accelerate reporting synthesis, experimentation analysis, and operational efficiency while maintaining rigor and accuracy.

What We’re Looking For:

• 8+ years of experience in marketing operations, growth marketing, performance marketing, or demand generation within B2B SaaS or highly technical products.
• Proven experience designing and implementing marketing infrastructure that connects CRM, marketing automation, paid media platforms, and reporting systems.
• Strong hands-on experience operating paid and targeted campaign channels directly, including audience configuration, campaign setup, optimization, and performance analysis.
• Deep understanding of attribution, lead routing, funnel definitions, and campaign measurement frameworks.
• Demonstrated ability to move from data to action, making clear decisions on budget allocation, targeting strategy, and campaign prioritization.
• Comfort partnering cross-functionally with Sales and Customer Success on funnel mechanics and operational alignment.
• High standards for data quality, governance, and operational rigor.

Preferred:

• Experience marketing to government, defense, or national security adjacent audiences, with an understanding of longer buying cycles, committee-driven decisions, and the nuances of account-based targeting in public sector environments.
• Experience building and scaling account-based marketing programs where precision targeting and measurement are critical.
• Experience improving or rebuilding marketing infrastructure in a growth-stage company.

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.