Red Cell Partners

Security Engineer

• Define and execute the ATO pathway, including responsibility allocation across government and contractor teams
• Author and maintain RMF documentation (SSP, SAP, SCTM, ConMon) in accordance with DoDI 8510.01 and NIST 800-53
• Coordinate with eMASS and Authorizing Officials on assessment and authorization activities
• Lead continuous monitoring and reauthorization efforts across the system lifecycle
• Define security requirements for cross-domain data flows (IL-5, IL-6, tactical edge)
• Evaluate and guide selection of DoD-approved cross-domain solutions
• Ensure classification-aware data segmentation is enforceable, auditable, and aligned with policy (e.g., NOFORN, REL_TO, ORCON)
• Review system architecture to ensure compliant handling of classified data flows
• Support secure operation across NIPR, SIPR, and higher classification environments
• Define authorization approaches (inheritance vs. standalone ATOs) across enclaves
• Maintain alignment with evolving joint and service-level security requirements

Platform Security – RMF Lead

DevOps Engineer

• This is a rare opportunity to build a production deployment pipeline for mission-critical DoD software from the ground up.
• As the DevSecOps Project Lead, you will own the end-to-end software delivery lifecycle—from code intake through secure, scalable production deployment.
• You will design and operate the DevSecOps pipeline, define the hosting architecture, and integrate security and compliance directly into delivery.
• This role spans both modern commercial DevOps practices and the realities of DoD deployment (IL-5 today with a path to IL-6), requiring you to make critical decisions across government networks, cloud environments, and hybrid architectures.
• This is a senior role combining hands-on execution with system-level ownership. You will build key components directly while guiding the transition from an existing government-furnished environment to a scalable, long-term production system.

DevSecOps Project Lead – Senior DevSecOps Engineer

Data Scientist

• This is a rare opportunity to define how data moves across the U.S. military’s logistics ecosystem.
• As the Architecture and Data Lead, you will own one of the most critical integration challenges in modern DoD software.
• You will design and build the integration platform that connects DEFCON AI’s software to the broader logistics C2 ecosystem.
• This is a senior role combining deep technical execution and system-level architecture leadership.

Architecture – Data Lead

Machine Learning Engineer

• End-to-End Product Engineering: Rapidly prototype and scale full-stack applications, ensuring seamless integration between UI, business logic, and ML inference.
• Architectural Leadership: Design modular, extensible system architectures that support rapid iteration without accruing technical debt.
• Technical Governance: Lead code reviews across the stack and serve as escalation point for engineering, infrastructure, and security decisions.
• Risk & Remediation: Identify scalability bottlenecks and security vulnerabilities and present remediation strategies.
• Bridge Research & Product: Translate experimental ML techniques into production-ready features.
• Infrastructure & Compliance: Design infrastructure aligned with government audit requirements (e.g., HIPAA, FedRAMP).
• Security-First Development: Implement IAM and secure data practices across the lifecycle.
• AI-First Product Ownership: Drive conception and execution of AI-first products, maintaining a strong bias toward applying state-of-the-art capabilities in production environments.

Principal ML Engineer

LLM Engineer

• Define and evolve the long-term AI/ML research strategy and technical roadmap for Trase OS in alignment with product and platform direction.
• Lead large-scale experimentation and prototyping efforts requiring significant compute infrastructure, translating frontier AI research into scalable, production-grade systems with measurable impact.
• Drive original research and technical breakthroughs in agentic systems, autonomous execution, multi-agent orchestration, post-training and fine-tuning systems, SLM/LLM-based architectures, and applied AI infrastructure.
• Design how models operate within long-lived execution environments, including agent workflows, tool use, planning, memory systems, reasoning, and human-in-the-loop controls.
• Establish evaluation methodologies and reliability frameworks for autonomous systems, including benchmarking, regression testing, safety, controllability, and production behavior analysis.
• Drive architecture decisions across orchestration, model serving, routing, inference, and infrastructure governance, including latency, reliability, and cost optimization.
• Partner closely with engineering and product teams to operationalize research outcomes into deployable systems and enterprise workflows.
• Build AI systems that operate reliably in regulated and constrained environments, including secure cloud, on-premise, and air-gapped deployments.
• Contribute to the broader AI research community through technical papers, publications, conference participation, architecture proposals, and thought leadership.
• Serve as a senior technical authority and mentor across the organization, influencing technical direction, research rigor, experimentation practices, and best practices across research, engineering, and product teams.

Principal AI Researcher – Agentic Systems, AI Infrastructure

Software Engineer

• Turn Ideas into Products: Take loosely defined problems and transform them into concrete product directions, break down ambiguous concepts into structured technical approaches, and rapidly prototype and validate ideas using modern AI-augmented workflows.
• Build 0→1 Across Incubations: Act as an early engineering force for new startups, build initial products, APIs, workflows, and prototypes that define the business, and help shape product direction alongside partners and founders.
• Operate Like a Founder: Understand business context and define what should be built—not just how, evaluate tradeoffs across product, speed, and technical design, and adapt quickly as ideas evolve and new information emerge.
• Build in an AI-Native Way: Use AI tools to accelerate development, structure prompts, workflows, and iterations intentionally, and demonstrate strong problem framing, decomposition, and iteration style.

Technical Staff Member

• Rapidly prototype and build full-stack tools and visualizations to support researchers and entrepreneurs.
• Design, implement, test, and debug code across front-end, back-end, and data pipelines.
• Collaborate with research teams to translate cutting-edge ML techniques into production-ready solutions.
• Work with entrepreneurs and users to gather requirements, incorporate feedback, and iterate on product development.
• Develop and optimize robust pipelines for model fine-tuning, evaluation, and deployment.
• Establish best practices for reliable and reproducible ML model development.
• Contribute to the creation of scalable, high-performance infrastructure for AI-driven products.

Full Stack ML Engineer

Manager

• Lead Capture Strategy
• Develop and execute capture plans for priority opportunities across the DoD and broader federal market.
• Partner with customer-facing teams and growth leaders to gather customer insight, shape requirements, and refine opportunity strategy before solicitation.
• Build win themes, discriminators, competitor analysis, and teaming strategies that improve probability of win.
• Support bid/no-bid decisions, stage-gate reviews, and pursuit of governance for the highest-priority deals.
• Partner with finance, legal, and engineering to shape pricing strategy, cost narratives, and contract structures that are competitive, compliant, and executable.
• Lead the transition from capture to award by ensuring alignment across customer need, solution approach, pricing, realistic timelines, and contractual path.
• Support negotiations and contract finalization in partnership with legal, finance, and executive stakeholders.
• Partner with proposal management and writing support to ensure proposals are compliant, persuasive, and tightly aligned to win strategy.

Capture & Close Manager

Full-stack Engineer

• Shape the product architecture end-to-end.
• Own the data foundation.
• Engineer for performance at scale.
• Drive technical direction through RFCs.
• Ship with product and design, not in a silo.
• Use AI as a force multiplier (responsibly).
• Hold the quality bar high.

Senior Full Stack Software Engineer

• Break down product or business problems into clear technical components and implementation steps.
• Use AI tools (e.g., GitHub Copilot, cloud‑based coding agents, prompt‑driven scaffolding) to design, build, and refine systems end‑to‑end.
• Configure and maintain AI‑assisted development workflows: skills, agents, context blocks, pipelines, tests, and automation.
• Behave like an operator: understand business objectives, evaluate tradeoffs, and define what needs to be built before building it.
• Adapt quickly to new information, change directions, and incorporate evolving requirements.
• Build early prototypes, internal tools, automation workflows, APIs, and small applications used across the Red Cell ecosystem.
• Contribute to company‑wide initiatives including new incubation/startup development and ecosystem tooling and developer workflows.

Growth Marketing

• Define, own, and operationalize Red Cell’s public sector and DoW growth strategy across priority missions, agencies, and acquisition pathways.
• Lead “left-of-bang” shaping with mission owners, program offices, contracting offices, and other acquisition stakeholders before solicitations exist.
• Set bid/no-bid decisions and prioritize opportunities across the portfolio.
• Architect creative solutions that may include leveraging capabilities from multiple portfolio companies with a focus on solving hard mission problems and accelerating adoption.
• Build and run a scalable BD → Capture → Close growth engine that portfolio companies can plug into.
• Recruit, mentor, and lead a high-ownership growth team spanning BD, capture, proposals, and contracts.

Head of Defense Growth

Sales Engineer

• Partner with Sales on discovery calls, technical deep-dives, and evaluations; clarify requirements and success criteria.
• Translate customer problems into product use cases, solution approaches, and scoped implementation plans.
• Explain Trase’s platform and agent capabilities to technical and non-technical stakeholders.
• Build rapid demo mock-ups and proof-of-concepts (including lightweight “cloud code”/scripted demos) to validate workflows and accelerate deals.
• Own and evolve demo assets: reusable scenarios, sample data, reference architectures, and competitive positioning.
• Write clear artifacts: requirements summaries, solution proposals, architecture diagrams, and handoff docs for delivery teams.
• Partner with Product on feedback loops: surface recurring needs, prioritize gaps, and propose roadmap opportunities grounded in customer signal.
• Support delivery handoff: ensure Engineering has the context needed to implement what was sold (and that commitments match reality).

Sales Engineer/Solution Architect – Contract

• Build and operate Clay workflows that research, enrich, and score 121+ target hospital accounts automatically.
• Configure intent signals (Unify) and respond to buying triggers—new CMIO hires, AI strategy announcements, RFPs—within 4 hours with AI-personalized outreach.
• Design and optimize Apollo outreach sequences; A/B test messaging; track conversion rates by tier and channel.
• Build the pre-conference outreach machine for ASTRO, HIMSS, and ACRO—scheduling 15–25 meetings before each event.
• Generate AI-powered meeting prep briefs and post-call follow-ups so senior sellers stay focused on closing.
• Maintain Salesforce as the source of truth and report weekly on what’s working, what’s not, and what’s changing.
• Document everything you build so this function can scale.

GTM Engineer, Healthcare

Account Executive

• Own and close net-new enterprise logos across non-acute healthcare segments, from first meeting through contract signature and expansion.
• Navigate complex organizations—identifying executive sponsors, economic buyers, clinical champions, compliance stakeholders, and IT decision-makers.
• Lead value-driven sales cycles grounded in customer workflows, regulatory pressures (HIPAA, CMS, prior authorization), and operational pain points specific to each healthcare segment.
• Build ROI models and business cases tied to cost reduction, throughput, risk mitigation, claims accuracy, and revenue lifecycle optimization.
• Design and run tight, outcome-based POCs with clear success criteria and executive alignment.
• Build and execute territory and account plans to generate pipeline and deliver predictable ARR.
• Collaborate with GTM Engineers, Product, Engineering, and Executive Leadership to advance deals and ensure successful handoffs.
• Provide structured market feedback that informs product roadmap and GTM strategy.

Senior Healthcare Sales Executive

Electrical Engineer

• The Senior Electrical Engineer will be working with a Lead Engineer and be responsible for:
• Design of high-power data center power system that contains a combination of AC/DC converters, DC/DC converters, and alternative energy resources (batteries, PV, etc.).
• Perform trade studies for all electrical components within the system, including breakers, power converters, batteries, and sensors.
• Manage discussions with suppliers for electrical equipment and make final part selections for the system.
• Integrate system based on customer requirements - including all aforementioned components as well as potentially IT server equipment.
• Produce electrical drawings for the overall system including one-line diagrams, wire harnesses, and electrical installations, based on customer specifications.
• Create test plans, perform system level evaluation, and root cause analysis for converter or system level failures.
• Design of supporting circuits such as isolation monitoring or controllers
• Evaluate prototype hardware, from individual circuit boards to power converters.
• Support software engineers to integrate algorithms and application code.
• Apply electrical engineering knowledge to improve the system level protection and enhance the system reliability.
• Engage with mechanical, system, test, and software team on product development.