Red Cell Partners

Security Engineer

• Monitor and evaluate emerging technologies at the frontier of AI security to identify novel product approaches.
• Collaborate with engineering to develop and test MVPs in-market, iterating based on customer feedback and market insights.
• Support the development of product roadmap development and go-to-market strategies.
• Track competitive solutions, positioning, and market movements.
• Prepare white papers, proposals and other materials for funding opportunities.
• Synthesize findings into actionable insights and recommendations.
• Engage prospective customers to uncover unmet needs and gaps in the current vendor eco-system.
• Conduct primary and secondary research to validate product-market fit.

Industry Architect – AI Cybersecurity

Capture Manager

• Lead identification, qualification, and pursuit of DoD and federal opportunities—spanning SBIR/STTR, OTA, IDIQ, and prototype-to-production pathways.
• Engage directly with government customers, primes, and partners to shape requirements and position Red Cell and its portfolio for success.
• Track and organize capture activities and proposal responses (RFIs, Sources Sought, BAA/CSO, RFPs/RFQs).
• Develop and execute tailored GTM strategies for Red Cell and its portfolio.
• Translate Red Cell’s technical capabilities into mission-relevant value propositions and clear pathways to procurement.
• Support portfolio company founders in building repeatable, DoD-ready sales processes that drive early traction and long-term growth.
• Build and sustain partnerships with defense primes, integrators, and high-growth dual-use companies to create teaming, subcontract, and channel opportunities.
• Represent Red Cell and portfolio companies at industry events, government innovation challenges, and consortia to expand visibility and credibility.
• Establish standardized BD and capture frameworks that can scale across the National Security Practice.
• Implement CRM and pipeline tracking processes aligned to federal acquisition stages and Red Cell’s internal growth metrics.
• Maintain consistent pipeline reporting and growth reviews with Red Cell leadership and portfolio executives.
• Maintain situational awareness of budgets, solicitations, and customer demand signals across the defense innovation ecosystem (DIU, AFWERX, AAL, etc.).
• Track mission needs, funding trends, and competitive activity to inform portfolio investment theses and new company incubation.
• Identify emerging capability gaps where Red Cell can launch or position ventures with asymmetric advantage.

Defense Sector Growth and Capture Lead

Operations

• Aid in the creation of high-quality deliverables under the direction of your team lead.
• Take ownership of a variety of delegated tasks, including both implementation and administrative efforts.
• Develop exceptional working relationships with platform and incubation team members.
• Participate in the development and delivery of new operating processes for the company, which may include project work and assistance in the facilitation of new and/or existing processes.
• Conduct market research and analysis in support of our practices and incubation companies.
• Help with coordination of events, logistics, and materials for team engagements and meetings.
• Learn about the structure of a rapidly-scaling business, in addition to the organizational structures of its incubation companies.
• Participate in strategy sessions of Red Cell Partners and its incubation companies.

Operations Intern

General Counsel

• Support a broad range of legal matters across the organization, including contract review and negotiation, financings, and regulatory research.
• Work closely with the Assistant General Counsel and receive hands-on mentorship and exposure to legal and business decision-making.
• Draft, review, and negotiate commercial agreements, including vendor and customer contracts, NDAs, and service agreements.
• Assist in corporate transactions, such as financings, restructurings, and governance matters.
• Conduct legal research and analysis on emerging laws and regulations impacting our core industries: healthcare, cyber, and national security.
• Collaborate with business leaders and functional teams, providing pragmatic and business-minded legal advice that facilitates innovation and growth.
• Contribute to legal team projects to improve operations, compliance, and knowledge management.
• Adapt quickly and effectively to shifting priorities in a fast-paced, dynamic environment.
• Uphold and contribute to our collaborative, respectful, and high-performance team culture, where humor, humility, and hard work are valued.

Legal Counsel

Machine Learning Engineer

• Design, develop, and deploy advanced AI models for healthcare applications.
• Preprocess and analyze both structured and unstructured data.
• Develop robust, scalable training pipelines optimized for healthcare datasets and integrate models into secure production environments.
• Implement feedback loops to continuously improve model accuracy and utility in clinical workflows.
• Optimize models for fairness, interpretability, and compliance (HIPAA, SOC2) in healthcare systems.
• Build performant backend services for data processing and model integration.
• Stay up to date with the latest advancements in generative AI, LLM, and healthcare AI advancements.
• Work closely with clinicians, healthcare professionals, and product managers to translate clinical needs into technical solutions and ensure technology aligns with real-world workflows.

Founding ML Engineer

DevOps Engineer

• Design, Build, and Maintain Core Infrastructure: Architect and implement scalable, highly available, and secure infrastructure on cloud platforms (GCP, AWS, Azure) to support our AI-driven applications and services.
• Automate Everything: Develop and maintain automation tools and frameworks to eliminate manual effort in deployment, configuration, and management of our production environment.
• Ensure System Reliability and Performance: Establish and monitor Service Level Objectives (SLOs) and Service Level Indicators (SLIs) for our production systems. Proactively identify and resolve performance bottlenecks and availability issues.
• Manage ML Infrastructure and Pipelines: Collaborate with ML engineers to build and maintain robust CI/CD pipelines for machine learning models, ensuring seamless training, deployment, and monitoring.
• Incident Response and Post-Mortems: Lead incident response efforts to minimize downtime and conduct thorough post-incident reviews to identify root causes and implement preventative measures.
• Implement and Enhance Observability: Deploy and manage comprehensive monitoring, logging, and tracing solutions (e.g., Prometheus, Grafana, ELK stack) to provide deep visibility into system health.
• Capacity Planning and Cost Optimization: Forecast infrastructure needs and optimize resource utilization to ensure our platform can scale efficiently and cost-effectively.
• Foster a Culture of Reliability: Champion SRE best practices across the engineering organization and mentor team members on reliability, performance, and scalability.

Senior Site Reliability Engineer, Security Clearance

• Architect, Build, and Optimize ML Systems: Develop and deploy robust ML models that deliver high-impact results for real-world applications.
• Training Pipeline Development: Design and implement efficient, scalable pipelines to train and retrain ML models, ensuring they meet business needs.
• Fine-Tuning Large Language Models (LLMs): Continuously fine-tune LLMs to align with specific enterprise requirements, enhancing accuracy, relevance, and performance.
• Feedback Systems Design: Implement and refine feedback loops to iteratively improve the effectiveness of ML models over time.
• Cross-Functional Collaboration: Work closely with product and business teams to understand and translate requirements into ML solutions that provide tangible outcomes.
• Stay Current with ML Advancements: Keep up with the latest in ML research and best practices, applying insights to our ML infrastructure to ensure it remains at the cutting edge.
• Mentorship and Knowledge Sharing: Guide and mentor junior team members, fostering a culture of continuous improvement and technical growth.
• Technical Communication: Clearly and effectively communicate ML methodologies, results, and insights to non-technical stakeholders.

Senior AI/ML Engineer, Applied Machine Learning

• Design, implement, and manage scalable and efficient CI/CD pipelines for our backend, frontend, and machine learning services.
• Own and optimize the Bazel build system, ensuring fast, reliable, and reproducible builds across the organization.
• Collaborate closely with engineering teams to understand their development workflows and improve the overall developer experience related to building and deploying code.
• Manage the infrastructure required for our build and deployment systems, using Infrastructure as Code (IaC) to automate provisioning.
• Implement and enforce security best practices within the CI/CD process to secure our software supply chain.
• Troubleshoot and resolve complex issues in the build and deployment pipeline, providing support to engineering teams.
• Stay up-to-date with the latest developments in CI/CD, build systems, and cloud technologies to drive continuous improvement.

Senior DevOps Engineer

LLM Engineer

• Tackle open-ended AI problems: clarify goals, propose approach options, and choose sensible trade-offs.
• Stand up end-to-end workflows—from data wrangling and evaluation through deployment and monitoring.
• Build quick experiments and MVPs to de-risk unknowns, then harden them for production.
• Create lightweight tooling that helps others explore, test, and iterate on AI features.
• Work across teams (security, infra, product, domain experts) to ship responsibly in real-world environments, including sensitive contexts.
• Document decisions, assumptions, and risks so others can build on your work.

AI/LLM Engineer

Backend Engineer

• Design, develop, and maintain backend services and cloud infrastructure for Trase's agentic applications.
• Define and own the long-term technical vision and architectural roadmap, aligning it with business and product strategy.
• Drive the selection and governance of foundational technologies, frameworks, and architectural patterns.
• Future-proof the platform by anticipating technical challenges and industry trends.
• Establish and enforce engineering-wide best practices for architecture, code, and design.
• Drive initiatives to reduce technical debt and enhance platform scalability, security, performance, and observability.
• Serve as the decision-maker on critical system designs, ensuring architectural cohesion across teams.
• Mentor senior engineers and tech leads; lead hands-on prototyping and solve complex technical challenges.
• Translate ambiguous business needs into clear technical strategies and communicate architectural decisions to stakeholders.
• Collaborate with cross-functional teams and participate in executive, product, and enterprise-level alignment.
• Some travel is required.

Principal Software Engineer, Backend Engineering

• Own the technical vision, strategy, and end-to-end architecture for Trase’s MLOps platform, ensuring scalability, reliability, security, and cost-efficiency.
• Architect and build a sophisticated CI/CD/CT ecosystem to automate the entire ML lifecycle, from data validation to production monitoring.
• Lead the design of scalable and resilient ML infrastructure using IaC (Terraform) and container orchestration (Kubernetes) on a major cloud platform.
• Establish MLOps best practices, including frameworks for version control, experiment tracking, model governance, and responsible AI.
• Implement a robust monitoring and alerting framework to track model performance, detect drift, and ensure the reliability of production ML services.
• Serve as the organization's thought leader on MLOps, mentoring engineers, and driving cross-functional alignment on platform strategy and best practices.
• Define the multi-year roadmap for Trase’s MLOps ecosystem in alignment with business and product strategy.
• Anticipate emerging trends (LLMOps, autoML, multi-cloud, federated learning) and guide the org to adopt them proactively.
• Define patterns for operating large-scale LLMs and multi-modal AI in production with efficiency and compliance.
• Solve highly ambiguous, large-scale ML deployment challenges where no precedent exists, defining best practices for the org.
• Focus on model training, pipeline development, and fine-tuning of large language models (LLMs) to ensure peak performance.
• Some travel is required.

Principal MLOps Engineer

• Implement and manage security controls for our corporate systems, applications, and information assets
• Design and maintain secure configurations for our employee endpoints and enforce security best practices
• Administer and secure corporate user accounts and identities, including managing permissions and access controls
• Develop and implement IT security policies, procedures, and runbooks
• Identify and remediate vulnerabilities in our corporate environment, adhering to best practices for data security
• Monitor internal and external systems for security threats and respond to alerts
• Identify and investigate security incidents affecting our corporate environment, and conduct post-incident analysis
• Automate security-related tasks to improve efficiency and scalability

Enterprise Security Engineer

Business Operations

• Red Cell Partners incubates technology-led companies; TARA Mind expands access to ketamine and psychedelic mental health therapies.
• Manage strategic and operational functions across finance, product, marketing, implementation, and team coordination.
• Product Operations: own and maintain product roadmap; track feature development; manage intake for new features.
• Team Coordination/Project Management: maintain Sync Matrix; facilitate weekly stand-ups; organize Drive filing; coordinate RFPs and bids; identify sales ops best practices; project manage company implementations and DocuSign execution; support enterprise-wide coordination across TARA and Red Cell Partners.
• Finance & Investor Relations: manage expense reports; coordinate with Red Cell Partners for approvals; distribute quarterly financials and complete investor questionnaires; schedule and coordinate Board meetings; process invoices and Bill.com transactions; oversee Amex transactions; manage insurance policies and renewals.
• Enterprise Events & Conferences: handle travel and registration logistics; oversee webinar logistics (Zoom links, registration pages).
• Marketing: maintain current decks and one-pagers; follow up with employer interest form submissions.

Business Operations Manager

Technical Recruiter

• Develop and implement the latest recruiting and sourcing strategies to attract top-tier technical talent focused on technical roles
• Manage the full recruitment lifecycle, from sourcing , coordination, to offer negotiation
• Utilize Greenhouse ATS and GoodTime scheduling to optimize and streamline the recruitment process
• Leverage LinkedIn Recruiter to identify and engage passive candidates effectively
• Collaborate closely with hiring managers to understand technical requirements, ideal profile, the “sell”, and team dynamics
• Conduct initial screenings and coordinate technical interviews
• Provide an exceptional candidate experience throughout the hiring process
• Partner with our incubations to provide insights into the talent market as well as the motivations of the top candidates
• Negotiate offers within range and with respect to our full benefits package with tools such as Radford and Carta

Senior Technical Recruiter (Contract)

• About Us: Red Cell Partners is an incubation firm building and investing in rapidly scalable technology-led companies that are bringing revolutionary advancements to market in three distinct practice areas: healthcare, cyber, and national security.\n• About Trase: Trase Systems is AI, Uncomplicated. Co-founded in 2023 by Joe Laws and Grant Verstandig, Trase empowers enterprise leaders to harness the full potential of AI without the associated complexity and risks. We are an end-to-end solution for deploying, managing, and optimizing AI in the enterprise. Our platform specializes in bridging the “last mile” of AI adoption, unlocking AI's full potential while driving efficiency and significant cost savings.\n• About the Role: Are you passionate about building the systems that empower engineers to build and ship software quickly and reliably? If you are a DevOps Engineer at Trase Systems, you will own the critical infrastructure that enables our engineering and research teams to iterate efficiently.\n• Responsibilities: Design, implement, and manage scalable and efficient CI/CD pipelines for our backend, frontend, and machine learning services; Own and optimize the Bazel build system; Collaborate with engineering teams to improve the developer experience; Manage infrastructure with IaC; Implement security best practices in CI/CD; Troubleshoot build/deployment issues; Stay updated with CI/CD and cloud tech.\n• Requirements: Proven experience in DevOps/build and release; Bazel expertise; CI/CD pipelines with GitLab CI, Jenkins, CircleCI; Python; Docker; problem-solving; communication; degree in CS/SE.\n• Benefits: 100% employer-paid health care; maternity/paternity; unlimited PTO; educational reimbursements; 401K/FSA/equity; Mental health benefits via TARA Mind.\n• Travel: Some travel is required.\n• Salary Range: $170,000-$220,000. This represents the typical salary range based on experience.\n• Equal Opportunity: We are an Equal Opportunity Employer.

• About Trase Systems: AI, Uncomplicated; Trase empowers enterprise leaders to harness the full potential of AI without the associated complexity and risks; end-to-end solution for deploying, managing, and optimizing AI in the enterprise.
• Trase is at the forefront of AI Agent innovation, topping the Hugging Face GAIA Leaderboard for Generalized AI Assistants, ahead of Google, Meta, Microsoft, and OpenAI. We are leveraging our cutting-edge technologies to develop mission-critical agentic applications in Healthcare, Oil & Gas, and National Security.
• About the Role: Build and maintain the resilient, scalable infrastructure that powers cutting-edge AI; ensure reliability and performance of complex, distributed systems; automate, monitor, and optimize the platforms that enable ML innovation.
• You will work closely with ML engineers, software engineers, and product teams to build and operate the infrastructure that runs our advanced AI agents and machine learning models.
• Responsibilities: Design, Build, and Maintain Core Infrastructure; Automate Everything; Ensure System Reliability and Performance; Manage ML Infrastructure and Pipelines; Incident Response and Post-Mortems; Implement and Enhance Observability; Capacity Planning and Cost Optimization; Foster a Culture of Reliability.
• Requirements: Proven SRE and DevOps Experience; Cloud Infrastructure Expertise; Proficiency in Infrastructure as Code; Containerization and Orchestration Mastery; Strong Programming and Scripting Skills; Experience with Monitoring and Observability Tools; CI/CD Pipeline Development; Excellent Problem-Solving and Communication Skills; Educational Background.
• Benefits: 100% employer-paid health care including medical, dental, and vision for you and your family; Paid maternity and paternity; Unlimited PTO; Educational reimbursements; Optional 401K, FSA, and equity incentives; Mental health benefits through TARA Mind.
• Some travel is required.
• We are an Equal Opportunity Employer: You’ll receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.