Legion Intelligence

Design and operate integrated marketing infrastructure and campaign programs to drive measurable pipeline impact. | 8+ years in marketing operations or performance marketing within B2B SaaS or technical products, with expertise in marketing infrastructure and paid campaign channels. | 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. Compensation Information $180,000—$240,000 USD

Manage customer onboarding, training, and renewals while collaborating with engineering on issue resolution. | Requires security clearance, government experience, technical product knowledge, and strong communication skills. | About Legion 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. Role Responsibilities Advocate For Customers: Act as the voice of the customer within the organization, advocating for customer needs and requirements to the product team. Manage Customer Requirements: Serve as project manager for any new feature development for the user as well as for deploying the Legion platform for a given customer. Be a Legion Expert: Develop hands-on technical knowledge of Legion’s product and feature capabilities so that you can ensure our customers are using Legion in the way that’s best for their team. Lead Customer Onboarding: Train customers on how to use the platform, including training administrative users and champions on how to enable their team members’ success. Demonstrate Value: Work with customers to understand what really matters to them and their leadership and demonstrate the way that Legion meets that need qualitatively and quantitatively. Build High-Quality Relationships: Develop relationships with multiple levels of customer stakeholders - everyone from end users, to security engineers to CISOs. Ensure Renewals: Work closely with the sales teams to identify the best path to renew and expand customers while minimizing churn risks. Provide Feedback: Proactively gather customer feedback and insights through surveys, interviews, and data analysis, and relay this information to our engineering team. Manage Issues: Collaborate with engineering to ensure timely resolution to customer issues and maintain consistent communication with our customers. Required Qualifications SECRET or TS/SCI Security Clearance. Significant experience as a CSM or AM working with the government. Our team is lean and requires someone who is able to thrive in the federal space without significant guidance. Willingness to travel. You will need to be onsite with our customers frequently. Most of them will be on the East Coast. Experience with a technical product. You’ll need to have worked with a highly-technical product in the past. Legion is a Generative AI product and the technology itself is highly complex. While our users can be anyone at an enterprise, the decision-makers involved in bringing Legion to their company (e.g., CTOs, CIOs) are often quite technical and you will need to be able to comfortably communicate with them. Exceptional communication skills. You represent Legion to the customer, and you represent the customer to Legion. Effectively communicating in both directions is paramount and critical to the success of both the customer and Legion. Proven ability to collaborate. You can work effectively with cross-functional teams, including sales, product, and/or engineering to articulate customer needs and develop new platform capabilities to meet them. Understanding of AI technologies. You understand machine learning concepts and their applications in real-world scenarios and can communicate them to customers of varying levels of technical backgrounds. Preferred Qualifications Experience working at a startup. Legion is early-stage and that means there’s a lot of things that aren’t figured out yet. You’ll need to be comfortable with operating in that kind of environment. Technical background. You have some experience building tools for project management (e.g., using Excel, SQL, Python, etc.) or developing your own applications for this or other purposes. Location + Travel This is a remote position, but it will require consistent travel - primarily on the Eastern seaboard. Being located in or near DC, Tampa, or Fayetteville NC is not required, but it’s a plus. Equal Opportunity Statement Legion provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Compensation Information $150,000—$230,000 USD

Designing and maintaining data pipelines and AI infrastructure for blockchain and SaaS platforms. | Extensive experience in data engineering, AI infrastructure, and related skills, but limited direct applied ML and NLP experience as required by the role. | 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. Compensation Information $205,000—$260,000 USD