Trase Systems

Role Description Trase is seeking a Senior Enterprise Sales Executive to own the full sales cycle for net-new enterprise customers. You will sell Trase’s AI agent platform into complex organizations, leading consultative sales cycles focused on measurable business outcomes, ROI, and successful production deployments. This is a high-impact role for an enterprise seller who thrives in technical environments, can engage C-suite stakeholders, builds pipeline from the ground up, and is excited to help define a new category in AI. What You Will Do - Own the full enterprise sales cycle, from prospecting through close and expansion - Build and execute territory strategies to generate pipeline and drive predictable ARR growth - Identify and engage executive sponsors, economic buyers, and key stakeholders across complex organizations - Lead consultative discovery to understand customer workflows, business challenges, and operational opportunities - Develop ROI-driven business cases and value propositions tied to measurable outcomes - Design and execute successful POCs with clear objectives and executive alignment - Partner with Solutions Engineering, Product, Engineering, Marketing, and Executive Leadership to advance opportunities and ensure customer success - Provide customer insights to influence product strategy, positioning, and go-to-market efforts - Position Trase’s AI agent platform against legacy automation, point solutions, and consulting alternatives - Consistently achieve or exceed pipeline and ARR targets Qualifications - 8+ years of enterprise sales experience with success closing $250K–$1M+ ARR deals and exceeding quota - A history of building pipeline from zero through outbound prospecting, territory development, and strategic account planning - Experience selling directly to C-suite executives and senior business leaders - Strong consultative selling skills with the ability to uncover customer needs and build compelling business cases - Comfort selling technical products in ambiguous, fast-moving environments and helping define a new market category - Technical fluency across enterprise software, integrations, APIs, cloud infrastructure, security, and data ecosystems - Experience driving land-and-expand strategies that grow initial deployments into larger enterprise partnerships Preferred Experience - Selling enterprise SaaS, AI, data, cloud, automation, or infrastructure platforms - Familiarity with MEDDIC, Challenger, or other enterprise sales methodologies - Experience partnering with Solutions Engineers, Product, Engineering, and executive teams - Background selling into complex or regulated industries such as healthcare, financial services, energy, or government - Exposure to AI, automation, RPA, agent-based systems, search, or data infrastructure What This Role Is Not - A renewal or account-management role - An inbound-only sales motion - A transactional product sales role Compensation Base salary of $175,000–$225,000 plus bonus. Compensation will be based on experience, skills, qualifications, and other relevant factors. Benefits - Career track opportunity with potential for rapid advancement with strong performance as the firm grows - 100% employer paid, comprehensive health care including medical, dental, and vision for you and your family. - Paid maternity and paternity for 14 weeks at employees' normal pay. - Unlimited PTO, with management approval. - Opportunities for professional development and continued learning. - Optional 401K, FSA, and equity incentives available. - Mental health benefits are available through Tara Mind.

Role Description As the Staff DevSecOps Engineer, you will be the technical owner of how security is built into Trase's software development lifecycle and cloud operations. - Integrate automated security testing, continuous vulnerability management, and secure coding practices into existing CI/CD pipelines. - Own the implementation of Trase's dedicated security architecture, delivering shift-left tooling (SAST, DAST, SCA, secrets scanning, and IaC scanning). - Standardize and operate secure pipelines to empower software engineers to focus on high-velocity delivery while maintaining necessary controls. Responsibilities - Shift-Left Security in CI/CD: - Design, implement, and operate the shift-left security toolchain across CI/CD pipelines. - Define how findings are triaged, routed, and remediated; partner with engineering teams. - Establish and enforce policy-as-code and pre-merge security gates calibrated to risk. - Cloud Security Architecture: - Design and deploy production cloud security architecture, focusing on Google Cloud Platform (GCP). - Implement foundational controls including network segmentation, workload identity, secrets management, and encryption. - Operate cloud security posture management (CSPM) and cloud workload protection capabilities. - Infrastructure-as-Code & Platform Security: - Build, codify, and maintain secure-by-default infrastructure modules in Terraform. - Embed security controls directly into platform abstractions. - Drive secure baselines for Kubernetes, container runtimes, and serverless workloads. - Detection, Monitoring & SIEM: - Operate and fine-tune Trase's SIEM and security telemetry pipeline. - Define detection-as-code practices and tune detections. - Build dashboards and reporting for real-time visibility into the environment. - Incident Response: - Enhance and lead aspects of Trase's technical security incident response capability. - Serve as a senior responder during security events. - Vulnerability & Threat Management: - Operate the end-to-end vulnerability management lifecycle across application, container, and cloud surface area. - Facilitate remediation SLAs and report on progress to leadership. - Cross-Functional Partnership: - Partner closely with Engineering and the broader Security and Compliance team. - Embed with Product and Engineering teams to ensure security is integral to Trase's builds. - Mentorship & Engineering Leadership: - Mentor junior Security and Compliance engineers and members of the Engineering team. - Establish and propagate patterns, runbooks, and reusable building blocks. Qualifications - 10+ years of experience in security engineering, DevSecOps, cloud security, or platform security roles. - Deep, hands-on experience securing modern CI/CD pipelines. - Strong cloud security expertise, primarily in Google Cloud Platform. - Expert-level Terraform skills with a track record of building secure-by-default IaC modules. - Demonstrated experience operating a SIEM end-to-end. - Hands-on incident response leadership experience. - Practical experience in environments governed by SOC 2, HIPAA, and ISO 27001. - Strong programming or scripting skills (Python, Go, or similar). - Excellent partnership skills and a developer-empathetic mindset. - Strong affinity for working with LLMs and AI agents. - US Citizen and eligible for US security clearance. Nice to Have - Hands-on experience implementing security architectures for FedRAMP, DoD RMF, HITRUST, or other heavily regulated frameworks. - Active US security clearance (Secret, TS, or TS/SCI). - Deep Kubernetes and container security expertise. - Experience securing AI/ML workloads. - Industry certifications such as Google Professional Cloud Security Engineer, AWS Security Specialty, OSCP, GIAC, or CKS. - Open source contributions to security tooling, detection content, or IaC modules. Salary Range $170,000-245,000. This represents the typical salary range for this position based on experience, skills, and other factors. Benefits - Career track opportunity with potential for rapid advancement. - 100% employer paid, comprehensive health care including medical, dental, and vision for you and your family. - Paid maternity and paternity for 14 weeks at employees' normal pay. - Unlimited PTO, with management approval. - Opportunities for professional development and continued learning. - Optional 401K, FSA, and equity incentives available. - Mental health benefits available through Tara Mind.

Role Description As a Principal Applied ML Researcher, you will define and drive the ML and LLM strategy for Trase OS, the agentic execution platform powering deployments in regulated environments. You are responsible for how models behave inside real production systems - including agent workflows, tool use, and long-lived execution - not just offline model performance. This is a hands-on technical leadership role operating at the intersection of research, systems, and product. - Drive technical breakthroughs in agentic infrastructure and applied AI systems. - Own the end-to-end research-to-production lifecycle. - Set the standard for how ML systems are designed, evaluated, and deployed across Trase. Responsibilities - Technical Leadership & Innovation: - Drive technical breakthroughs in agentic systems, applied ML infrastructure, and LLM-based applications. - Define and evolve the ML/LLM strategy and technology roadmap in alignment with product development. - Act as a principal technical authority, making high-impact architectural and modeling decisions across teams. - Research → Prototype → Production: - Develop prototypes for key technologies to validate new approaches and de-risk system design. - Own the full lifecycle from research and experimentation through production deployment, monitoring, and iteration. - Translate advances in ML into scalable, production-grade systems with measurable impact. - Agentic Systems & Applied ML: - Design how LLMs operate within agent workflows, tool use, and multi-step reasoning and long-lived execution. - Implement and refine prompting strategies, multi-agent orchestration, memory management, and human-in-the-loop controls for safety and reliability. - Establish patterns for planning, decision-making, and tool orchestration within complex systems. - Evaluation, Quality & Reliability: - Own end-to-end quality evaluation of ML-powered systems, including defining metrics, benchmarks, and testing frameworks. - Establish evaluation systems that connect model performance to task success and system-level outcomes. - Ensure systems behave predictably, safely, and reliably in production through monitoring, regression testing, and robust failure handling. - ML Systems & Platform Integration: - Contribute to the design of ML systems supporting the full lifecycle, including training, fine-tuning, evaluation, deployment, and monitoring. - Drive architecture decisions across model serving, routing, orchestration, and latency and cost optimization. - Work across infrastructure layers, including cloud and containerized systems, to ensure scalable and efficient deployment. - Enterprise & Regulated Deployments: - Build and deploy enterprise-grade AI systems used by global customers in production environments. - Design systems that operate reliably in regulated and constrained settings, including on-premise, air-gapped, and secure cloud environments. - Ensure systems are auditable, explainable, and compliant with regulatory and organizational requirements. - Communication & Influence: - Write technical reports and design documents summarizing R&D progress, system behavior, and key decisions. - Communicate complex ML concepts and tradeoffs clearly to both technical and non-technical stakeholders. - Drive alignment across research, engineering, and product through strong technical leadership. - Mentorship & Organizational Impact: - Mentor junior and senior engineers and researchers, raising the bar for ML rigor and system-level thinking. - Establish and propagate best practices for ML system design, evaluation, and reliability across the organization. - Influence technical direction beyond immediate teams through high-impact, cross-functional work. Qualifications - 12–15+ years of experience in machine learning, including building and deploying applied ML systems in production environments. - Strong programming skills in Python, with experience in Java, C++, or related languages in systems contexts. - Deep expertise in at least one major ML domain, such as LLMs and generative AI, NLP or multimodal systems, deep learning, or graph learning. - Hands-on experience with prompt engineering, multi-agent orchestration, tool integration via APIs, memory management, and human-in-the-loop system design. - Proven experience building and shipping enterprise-grade AI systems, including GenAI, LLM, or agent-based applications at scale. - Experience designing and implementing evaluation frameworks, including metrics, benchmarks, and testing systems. - Strong understanding of ML system behavior in production, including reliability, latency, cost tradeoffs, and failure modes. - Experience deploying ML systems in regulated or constrained environments and familiarity with modern ML infrastructure such as cloud platforms and containerized systems. - Demonstrated ability to lead technical direction across teams and drive systems from concept to production impact. Nice to Have - Experience working with agent-based systems, retrieval-augmented generation, RLHF, or synthetic data approaches. - Experience building and operating AI/ML platforms that support the full model lifecycle. - Experience optimizing ML inference in real-time, distributed, or resource-constrained environments. - Familiarity with data privacy, compliance, and responsible AI frameworks relevant to regulated industries. - Prior experience operating at the Staff or Principal level in a scaling organization. Salary Range $230,000-300,000. This represents the typical salary range for this position based on experience, skills, and other factors. Benefits - Career track opportunity with potential for rapid advancement with strong performance as the firm grows. - 100% employer paid, comprehensive health care including medical, dental, and vision for you and your family. - Paid maternity and paternity for 14 weeks at employees' normal pay. - Unlimited PTO, with management approval. - Opportunities for professional development and continued learning. - Optional 401K, FSA, and equity incentives available. - Mental health benefits are available through Tara Mind.

About Us Co-founded in 2023 by Joe Laws and Grant Verstandig, Trase Systems is AI, Uncomplicated. 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. Trase is at the forefront of AI Agent innovation, topping the Hugging Face GAIA Leaderboard for Generalized AI Assistants, ahead of industry giants such as Google, Meta, Microsoft, and OpenAI. We are leveraging our cutting-edge technologies to develop mission-critical agentic applications in complex industries such as Healthcare, Oil & Gas, and National Security. About the Role As a Senior Staff Technical Program Manager, you will own internal program execution across our operating system - ensuring that platform investments translate into shipped, reliable, and measurable outcomes. This is not a coordination or reporting role. You are responsible for: - Driving execution across highly coupled, multi-team platform work - Creating the operating system for engineering execution - Ensuring platform systems (runtime, infrastructure, AI workflows) ship predictably and safely You will operate at the intersection of: - Platform engineering (agent runtime, workflows, system orchestration) - DevOps / SRE (deployment, reliability, observability) - DevEx (developer workflows, CI/CD, release safety) - AI/ML systems (LLM-driven workflows, evaluation, and inference pipelines) You are expected to be deeply technical - able to: - Read architecture diagrams and system designs fluently - Understand and reason about code, APIs, and system behavior - Engage engineers on tradeoffs across infrastructure, runtime, and AI systems While this is not a hands-on coding role, the ability to read and occasionally write code to unblock or validate work is highly valuable. Why this Role is Needed Our operating system is a distributed, orchestration-heavy platform with: - Long-live, stateful workflows - Cross-service and cross-environment dependencies - AI/LLM-driven execution paths requiring observability and control - Strict reliability, security, and auditability requirements As the platform scales, the bottleneck shifts to: - Cross-team coordination - Dependency sequencing - Release readiness - Execution predictability This role exists to: - Reduce coordination overhead on engineering leads - Ensure platform work is sequenced, unblocked, and measurable - Improve delivery predictability without slowing velocity - Translate platform investments into real shipped outcomes Scope of Responsibilities - Own end-to-end execution of internal platform initiatives across the Trase operating system, translating ambiguous work across infrastructure, runtime systems, and AI/ML workflows into clear, actionable plans while ensuring alignment across Engineering, DevOps/SRE, DevEx, and Product. - Identify and manage cross-team dependencies across services, cloud infrastructure, and AI pipelines, sequencing work to minimize blocking dependencies, reduce integration risk, and avoid rework. - Establish and maintain a lightweight operating rhythm that drives execution, including milestone tracking, execution reviews, and release readiness checkpoints, ensuring teams have clear priorities, defined success criteria, and visibility into risks. - Partner with DevOps and SRE to ensure releases are safe, validated, and traceable, and that platform and AI/ML changes are observable, auditable, and ready for production environments; drive go/no-go decisions based on system readiness and risk. - Proactively identify and manage system-level risks across infrastructure, deployment systems, AI/ML pipelines, and runtime behavior, ensuring mitigation strategies are in place before issues impact delivery. - Define and track key execution and reliability signals, including delivery predictability, release success rates, dependency resolution, and system health, acting as the source of truth for execution status and risk. - Continuously improve engineering execution by identifying inefficiencies in CI/CD workflows, testing and integration systems, and AI workflow evaluation, partnering with DevEx and DevOps to increase developer velocity, release safety, and overall system reliability. Senior Staff-Level Expectations This role operates at system and cross-team scope, not project scope. You will: - Influence execution across multiple teams and domains - Drive improvements in how systems are built, deployed, and operated - Balance speed, reliability, and clarity - Deliver outcomes that improve organization-level execution metrics Qualifications Required - 12+ years of experience in technical program management, engineering, or related roles - Experience working on distributed systems, cloud infrastructure, CI/CD and deployment systems - Strong understanding of DevOps / SRE workflows, system dependencies and failure modes - Demonstrated ability to break down ambiguous technical problems, drive execution across teams, influence without authority Technical Depth (Critical) - Strong technical fluency with ability to read and understand production code, reason about system architecture and APIs, engage in technical tradeoff discussions - Experience with or exposure to AI/ML systems and LLM-based workflows, AI infrastructure (inference, evaluation, orchestration) - Ability to write code when needed (for debugging, validation, or prototyping), though not a primary responsibility Strongly Preferred - Experience working closely with DevOps / SRE teams, platform engineering teams - Familiarity with Kubernetes, Infrastructure-as-Code, observability systems - Experience in regulated or high-security environments Working Style - High ownership and accountability - Strong bias for action and clarity - Comfortable operating in ambiguity - Focused on outcomes over process Some travel is required. If you want to be on the cutting edge of technology, building AI solutions for the future, and are up for a challenge, let’s talk! Salary Range: $200,000-260,000. This represents the typical salary range for this position based on experience, skills, and other factors. #LI-RCP Our Trase Benefits: For full-time roles only - Career track opportunity with potential for rapid advancement with strong performance as the firm grows - 100% employer paid, comprehensive health care including medical, dental, and vision for you and your family. - Paid maternity and paternity for 14 weeks at employees' normal pay. - Unlimited PTO, with management approval. - Opportunities for professional development and continued learning. - Optional 401K, FSA, and equity incentives available. - Mental health benefits are available through Tara Mind. We’re 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. Applicant Data Disclosure By submitting an application, you acknowledge that Red Cell Partners, LLC ("Red Cell") uses third-party service providers to facilitate its recruitment and hiring processes. These providers include applicant tracking systems, candidate verification platforms, and fraud detection tools (collectively, "Hiring Platforms"). Your application materials, including your résumé, cover letter, work samples, responses to application questions, and any other information you submit, may be transmitted to and processed by these Hiring Platforms for the following purposes: - Managing and administering your application throughout the hiring process; - Verifying the accuracy and authenticity of application materials, including by cross-referencing information you provide against publicly available sources and proprietary databases; - Identifying indicators of potentially fraudulent, fabricated, or materially misleading application content, including but not limited to discrepancies between submitted materials and publicly available professional profiles, geographic anomalies, and fabricated work histories. Applications that are flagged through this process as containing indicators of fraud or material misrepresentation may be declined from further consideration. If you have questions about the status of your application or the evaluation process, please contact talent@redcellpartners.com. Red Cell requires its Hiring Platform providers to process your information solely for the purposes described above and in accordance with applicable law. Your information will be retained only for as long as necessary to fulfill these purposes and any applicable legal obligations, after which it will be deleted in accordance with Red Cell's data retention policies. For more information about how your data is used, please refer to our Privacy Policy and Applicant Privacy Notice.

About Us Co-founded in 2023 by Joe Laws and Grant Verstandig, Trase Systems is AI, Uncomplicated. 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. Trase is at the forefront of AI Agent innovation, topping the Hugging Face GAIA Leaderboard for Generalized AI Assistants, ahead of industry giants such as Google, Meta, Microsoft, and OpenAI. We are leveraging our cutting-edge technologies to develop mission-critical agentic applications in complex industries such as Healthcare, Oil & Gas, and National Security. About the Role As a Staff Technical Program Manager, you will own execution across customer-facing vertical programs - including national security, healthcare, and enterprise deployments - ensuring that platform capabilities translate into successful, secure, and reliable customer outcomes. This is not a coordination or reporting role. You are responsible for: - Driving execution across complex, high-stakes customer programs - Managing delivery under strict compliance, security, and operational constraints - Ensuring customer commitments are met with predictable, production-ready outcomes You will operate at the intersection of: - Customer programs (national security, healthcare, enterprise verticals) - Platform engineering (agent runtime, workflows, system capabilities) - DevOps / SRE (deployment models, environments, reliability, incident readiness) - Security & compliance (ATO/RMF, HIPAA, enterprise security requirements) You are expected to be deeply technical, with demonstrated ability to: - Understand deployment architectures across cloud, VPC, and on-prem environments - Reason about system behavior, APIs, and integration points in customer contexts - Engage engineering teams on tradeoffs between delivery speed, security, and reliability Why this Role is Needed Customer-facing programs - particularly in highly regulated industries - introduce constraints that significantly increase execution complexity: - Strict compliance and security requirements (e.g., RMF/ATO, HIPAA, enterprise controls) - Environment fragmentation (on-prem, VPC, sovereign deployments) - High coordination overhead across customers, engineering, and stakeholders - Elevated expectations for reliability, auditability, and incident readiness As Trase expands across verticals, the bottleneck shifts to: - Customer coordination and stakeholder alignment - Integration sequencing and environment readiness - Release coordination under compliance constraints - Operational readiness and incident management This role exists to: - Reduce coordination and communication overhead on engineering teams - Ensure customer programs are structured, sequenced, and unblocked - Improve reliability and predictability of delivery on customer commitments - Maintain strong security and operational posture while moving quickly - This aligns with the need for dedicated TPM coverage to handle high coordination load in customer programs and protect engineering focus. Scope of Responsibilities - Own end-to-end execution of customer-facing programs across national security, healthcare, and enterprise verticals, translating ambiguous customer requirements and platform capabilities into clear, actionable delivery plans. - Coordinate customer milestones, integration timelines, and deployment readiness across engineering, DevOps/SRE, and external stakeholders, ensuring alignment on scope, sequencing, and success criteria. - Manage compliance and security-driven constraints (e.g., RMF/ATO processes, HIPAA considerations, enterprise security requirements), ensuring delivery plans account for approval cycles, evidence generation, and audit readiness. - Identify and manage cross-team and cross-environment dependencies (platform services, infrastructure, integrations), reducing integration risk and preventing delivery delays. - Establish and maintain execution cadence for customer programs, including milestone tracking, readiness reviews, stakeholder updates, and escalation paths. - Drive release and deployment readiness across environments (cloud, VPC, on-prem), ensuring systems are validated, secure, and operationally ready before customer delivery. - Partner with DevOps/SRE to ensure incident readiness, monitoring, and operational procedures are in place for customer deployments, particularly in high-assurance environments. - Act as the central point of accountability for delivery status, risks, and tradeoffs across customer programs, ensuring transparency and proactive risk mitigation. Staff-Level Expectations - This role operates at system and program scope across customers, not individual projects. You will: - Influence execution across multiple teams and external stakeholders - Balance customer needs with platform constraints and long-term architecture - Drive clarity in highly ambiguous, high-stakes environments - Deliver outcomes that improve reliability and predictability of customer delivery Qualifications Required - 8–10+ years of experience in technical program management, engineering, or related roles - Experience delivering complex technical systems to external customers or regulated environments - Strong understanding of distributed systems, deployment models, and integration challenges - Demonstrated ability to drive execution across teams and stakeholders under ambiguity - Eligibility to get security clearance or currently has one Technical Depth (Critical) - Strong technical fluency with ability to understand system architecture, APIs, and deployment patterns - Experience working with cloud and/or on-prem environments, networking, and infrastructure constraints - Familiarity with security and compliance frameworks (e.g., RMF/ATO, HIPAA, enterprise security controls) - Ability to engage in technical tradeoff discussions across engineering, security, and operations Strongly Preferred - Experience working on national security or government programs (or willingness to pursue clearance) - Experience with regulated industries (healthcare, defense, enterprise security) - Familiarity with Kubernetes, Infrastructure-as-Code, and observability systems - Experience supporting customer-facing deployments or enterprise integrations Working Style - High ownership and accountability - Strong bias for action and clarity - Comfortable operating in ambiguity and external-facing environments - Focused on outcomes over process Some travel is required. If you want to be on the cutting edge of technology, building AI solutions for the future, and are up for a challenge, let’s talk! Salary Range: $170,000-230,000. This represents the typical salary range for this position based on experience, skills, and other factors. #LI-RCP Our Trase Benefits: For full-time roles only - Career track opportunity with potential for rapid advancement with strong performance as the firm grows - 100% employer paid, comprehensive health care including medical, dental, and vision for you and your family. - Paid maternity and paternity for 14 weeks at employees' normal pay. - Unlimited PTO, with management approval. - Opportunities for professional development and continued learning. - Optional 401K, FSA, and equity incentives available. - Mental health benefits are available through Tara Mind. We’re 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. Applicant Data Disclosure By submitting an application, you acknowledge that Red Cell Partners, LLC ("Red Cell") uses third-party service providers to facilitate its recruitment and hiring processes. These providers include applicant tracking systems, candidate verification platforms, and fraud detection tools (collectively, "Hiring Platforms"). Your application materials, including your résumé, cover letter, work samples, responses to application questions, and any other information you submit, may be transmitted to and processed by these Hiring Platforms for the following purposes: - Managing and administering your application throughout the hiring process; - Verifying the accuracy and authenticity of application materials, including by cross-referencing information you provide against publicly available sources and proprietary databases; - Identifying indicators of potentially fraudulent, fabricated, or materially misleading application content, including but not limited to discrepancies between submitted materials and publicly available professional profiles, geographic anomalies, and fabricated work histories. Applications that are flagged through this process as containing indicators of fraud or material misrepresentation may be declined from further consideration. If you have questions about the status of your application or the evaluation process, please contact talent@redcellpartners.com. Red Cell requires its Hiring Platform providers to process your information solely for the purposes described above and in accordance with applicable law. Your information will be retained only for as long as necessary to fulfill these purposes and any applicable legal obligations, after which it will be deleted in accordance with Red Cell's data retention policies. For more information about how your data is used, please refer to our Privacy Policy and Applicant Privacy Notice.

About Us Co-founded in 2023 by Joe Laws and Grant Verstandig, Trase Systems is AI, Uncomplicated. 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. Trase is at the forefront of AI Agent innovation, topping the Hugging Face GAIA Leaderboard for Generalized AI Assistants, ahead of industry giants such as Google, Meta, Microsoft, and OpenAI. We are leveraging our cutting-edge technologies to develop mission-critical agentic applications in complex industries such as Healthcare, Oil & Gas, and National Security. About The Role As Principal Software Engineer, you’ll own the core execution model and platform architecture of Trase OS - the shared platform (“agentic operating system”) that powers all Trase deployments in regulated environments. You’ll define the abstractions and APIs that connect workflows, agents, tools, and product surfaces, and ensure the correctness, scalability, and extensibility of the system. This is a company-critical role: you are responsible for how the system behaves under real-world conditions, including failure, scale, and security constraints. Your work sets the technical direction for the platform and acts as a force multiplier across all engineering teams. Clean abstractions and correctness-under-failure are critical because we operate long-lived agents in healthcare/defense environments where auditability and reliability are non-negotiable. Why This Role Is Needed Trase OS is an orchestration-heavy system coordinating long-lived workflows, agents, and tools across multiple services and environments. As the platform evolves, the primary risks shift from implementation to system design quality: - Poor abstractions create tight coupling across services - Workflow execution becomes difficult to reason about under failure - Platform capabilities fragment instead of becoming reusable primitives - Scaling introduces complexity instead of leverage This role exists to: - Define clean, durable abstractions for the platform execution model - Ensure correctness and determinism in workflow execution - Translate evolving product requirements into coherent platform architecture - Enable teams to build on Trase OS without introducing systemic complexity What Makes This Role Hard - You are designing systems where failure is the norm, not the exception, and correctness must be preserved across retries, restarts, and partial execution - You must balance clean abstractions with real-world constraints (performance, security, multi-tenant environments) - Decisions made here become foundational primitives used across all products and teams - The system must remain understandable and auditable, even as complexity and scale increase Responsibilities - Architect & lead the core execution model (state machine, lifecycle, resource model, failure semantics) - Design platform APIs/SDKs connecting workflows, agents, tools, and product surfaces; drive versioning & compatibility - Guarantee correctness via idempotency, deterministic replays, compensating actions, and data integrity - Engineer reliability at scale: concurrency controls, rate limits, backpressure, sharding/partitioning, and workload isolation - Build security & governance into the core: RBAC/ABAC, policy enforcement, fine-grained audit & lineage - Deliver observability: distributed tracing, structured logs, metrics, and evaluation hooks; build an “explainable trail” of agent actions - Own quality: design reviews, test strategy (unit, property, chaos), performance baselines, SLOs, incident response, and postmortems - Mentor & unblock senior engineers; partner with Product, Security, and Customer teams to translate requirements into durable primitives - Make pragmatic choices on storage, queueing, and compute; create paved roads that accelerate all other teams - Define system boundaries and reduce cross-service coupling through clear architectural patterns - Drive platform-wide standards for correctness, reliability, and API design across teams - Balance short-term delivery with long-term architectural integrity, ensuring the platform evolves without accumulating systemic risk Principal-level Technical Leadership - Define and drive the long-term technical architecture of Trase OS across teams and domains - Influence company-wide technical direction for platform and product systems - Lead cross-team initiatives that shape how workflows, agents, and platform primitives are built and evolve - Partner with leadership to align technical architecture with product and business strategy - Mentor senior and staff engineers and raise the bar for system design and architectural thinking Requirements - 12-15+ years of experience building distributed/platform systems, including significant experience defining architecture across teams or domains - 10+ years owning mission-critical runtimes or workflow/orchestration systems - Deep expertise with durable execution (e.g., state machines, event sourcing, saga/compensation, idempotency, exactly/at-least-once semantics) - Proven track record with security & governance in production systems (auth, RBAC, audit, policy) - Hands-on with observability (Grafana or equivalent), including trace correlation across async boundaries - Strong systems design across storage, queues, schedulers, and evented architectures; performance tuning under load - Excellence in a modern language (e.g., Go, Rust, Java, or TypeScript) and cloud-native stacks (containers, CI/CD, IaC) - Comfortable operating in regulated or high-assurance environments; bias toward correctness, clarity, and documentation - Proven ability to influence technical direction across an organization and drive adoption of architectural standards - Ability to incorporate advance LLM capabilities into system design and platform architecture decisions where appropriate Nice to Have - Prior work on workflow engines (Temporal/Cadence/AWS Step Functions, Argo, Airflow) or serverless runtimes - Experience with policy engines (OPA), secrets/KMS, or data-handling controls (PII/PHI) - ML/LLM evaluation frameworks, tool/plugin architectures, or embedding model governance into execution - Government or healthcare experience (HIPAA, audit readiness) and multi-tenant isolation Salary Range: $240,000-290,000. This represents the typical salary range for this position based on experience, skills, and other factors. #LI-RCP Our Trase Benefits: For full-time roles only - Career track opportunity with potential for rapid advancement with strong performance as the firm grows - 100% employer paid, comprehensive health care including medical, dental, and vision for you and your family. - Paid maternity and paternity for 14 weeks at employees' normal pay. - Unlimited PTO, with management approval. - Opportunities for professional development and continued learning. - Optional 401K, FSA, and equity incentives available. - Mental health benefits are available through Tara Mind. We’re 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. Applicant Data Disclosure By submitting an application, you acknowledge that Red Cell Partners, LLC ("Red Cell") uses third-party service providers to facilitate its recruitment and hiring processes. These providers include applicant tracking systems, candidate verification platforms, and fraud detection tools (collectively, "Hiring Platforms"). Your application materials, including your résumé, cover letter, work samples, responses to application questions, and any other information you submit, may be transmitted to and processed by these Hiring Platforms for the following purposes: - Managing and administering your application throughout the hiring process; - Verifying the accuracy and authenticity of application materials, including by cross-referencing information you provide against publicly available sources and proprietary databases; - Identifying indicators of potentially fraudulent, fabricated, or materially misleading application content, including but not limited to discrepancies between submitted materials and publicly available professional profiles, geographic anomalies, and fabricated work histories. Applications that are flagged through this process as containing indicators of fraud or material misrepresentation may be declined from further consideration. If you have questions about the status of your application or the evaluation process, please contact talent@redcellpartners.com. Red Cell requires its Hiring Platform providers to process your information solely for the purposes described above and in accordance with applicable law. Your information will be retained only for as long as necessary to fulfill these purposes and any applicable legal obligations, after which it will be deleted in accordance with Red Cell's data retention policies. For more information about how your data is used, please refer to our Privacy Policy and Applicant Privacy Notice.