About the Role:

Trase is looking for a customer-facing Sales Engineer/Solution Architect who can partner with Sales to translate customer needs into clear product use cases, design technical solutions, and build rapid demos that help customers understand what’s possible. 

This role blends technical solutioning, product thinking, and polished customer communication. You'll be a key bridge between prospects/customers, Sales, Product, and Engineering. 

What you'll do:

• 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). 

What we’re looking for:

Core capabilities 

• Experience as a Sales Engineer, Solutions Architect, Forward Deployed Engineer, or Solution Consultant supporting customer-facing technical sales. 
• Strong technical fluency: comfortable fielding technical questions, explaining system behavior, and reasoning about tradeoffs. 
• Excellent communication: able to lead conversations, simplify complexity, and build trust with customers. 
• Product-minded: can turn ambiguous customer input into crisp requirements, use cases, and prioritized next steps. 

Demo/prototyping skills 

• Proven ability to build quick demos or prototypes to illustrate solution paths and unblock decisions. 
• Comfortable working with APIs, integrations, and configurable product surfaces (and learning new systems quickly). 

Collaboration & operating style 

• Can work cross-functionally across Sales, Product, and Engineering with strong follow-through. 
• Comfortable in fast-moving environments where priorities shift based on customer feedback. 

Nice to have: 

• Healthcare domain experience (strongly preferred, not required). 
• Senior+ experience, with ownership over complex customer engagements. 

Success in the role looks like: 

• Customers consistently leave technical conversations with clarity and confidence in the proposed solution. 
• Deals move faster due to high-quality demos, crisp requirements summaries, and strong technical credibility. 
• Product and Engineering receive actionable, well-structured feedback that improves the platform and delivery outcomes. 

​​​Compensation: Hourly rate of ​​$80-$110. This represents the typical salary range for this position based on experience, skills, and other factors. 

About the Role:

We’re seeking a highly versatile UX Designer (Contractor) who can seamlessly support product, marketing, and executive teams. This role is ideal for a designer who enjoys owning a wide range of creative work—from website UX to conference presentations to polished product demos.

You’ll be responsible for shaping how agents experience our tools, how customers engage with our brand, and how our leadership presents our vision. If you thrive in a fast-paced environment and love switching between product design, marketing design, and storytelling, this role will feel like home.

Key Responsibilities:

Product & UX Design

• Design intuitive, user-centered experiences for agent-facing workflows and tools.
• Create UX flows, wireframes, prototypes, and interaction patterns for demos and product features.
• Partner with product managers and engineers to translate requirements into clear, functional designs.
• Ensure consistency across all UX touchpoints, including demos, internal tools, and agent experiences.

Website & Marketing Design

• Lead UX and visual design for the company website, ensuring clarity, usability, and brand alignment.
• Produce marketing materials including landing pages, digital assets, and campaign visuals.
• Support marketing initiatives with design for events, announcements, and promotional content.

Executive & Conference Presentation Design

• Design and refine executive presentation decks, including executive decks for internal and external audiences.
• Create visually compelling materials for conferences—both UX and technical—including slides, signage, and demo visuals.
• Ensure all conference design aligns with product messaging, brand identity, and audience needs.

Demo Experience Design

• Own the UX and visual design for all product demos.
• Develop cohesive demo flows that clearly communicate product value and functionality.
• Collaborate with product and engineering to ensure demo environments reflect real-world use cases.

Cross-Functional Collaboration

• Work closely with product managers, engineers, and marketing leads to understand needs and translate them into thoughtful UX solutions. 
• Maintain and evolve design systems and brand guidelines across product and marketing surfaces. 
• Manage multiple projects simultaneously while meeting deadlines in a dynamic environment.

Qualifications:

• 3–5+ years of UX or product design experience (contract or full-time).
• Strong portfolio showcasing UX thinking, visual design, and multi-surface work (web, product, presentations).
• Proficiency with modern design tools (Figma preferred).
• Ability to work independently, take initiative, and adapt quickly to shifting priorities.
• Experience designing for both product and marketing teams is a strong plus.
• Excellent communication skills and comfort presenting design decisions to stakeholders.

About the Role

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. You will drive technical breakthroughs in agentic infrastructure and applied AI systems, own the end-to-end research-to-production lifecycle, and set the standard for how ML systems are designed, evaluated, and deployed across Trase.

Why This Role Exists

Trase OS coordinates long-lived agents, multi-step workflows, tool-augmented LLMs, and execution in regulated environments.

As the system scales, the core challenge shifts from model capability to system correctness and reliability, where models may succeed offline but fail in real workflows, agent behavior can become unpredictable or unsafe, evaluation can drift from real outcomes, and ML decisions can introduce system-level instability.

This role defines how ML systems are integrated into execution systems, evaluated end-to-end, and operated reliably in production.

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.

Requirements

• 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.

#LI-RCP 

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 

The Role:

You will own the full sales cycle for net-new customers across the broader healthcare ecosystem—with a deliberate focus on segments beyond hospitals and health systems: payers, pharmacy benefit managers, pharmaceutical and biotech companies, medical device manufacturers, health tech vendors, specialty and ambulatory care providers, behavioral health organizations, long-term and post-acute care operators, and government health agencies.

You’ll lead consultative, value-driven sales cycles into complex organizations—selling to C-suite executives, navigating multi-stakeholder buying committees, and helping define an emerging AI category in a regulated industry.

What You’ll Do:

• 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.

About You:

• 8+ years of healthcare sales experience with a proven track record of exceeding quota, including significant experience in non-acute healthcare segments such as payers, pharma, life sciences, or health tech.
• Demonstrated success closing complex deals ($250K–$1M+ ARR) into sophisticated organizations.
• Deep familiarity with how payers adjudicate claims, how pharma runs clinical and commercial operations, and how non-acute providers operate under value-based care models.
• Experience selling technical SaaS, AI, data, or cloud platforms in regulated environments.
• Comfortable pitching and demonstrating highly technical products to clinical, operational, and IT stakeholders alike.
• Working knowledge of healthcare regulatory requirements—HIPAA, HITRUST, CMS—and how they shape technology procurement.
• Proven ability to sell to C-level executives face-to-face and virtually; experience building new territories from greenfield.
• Exposure to AI, automation, RPA, or agent-based systems is a significant plus; HL7/FHIR knowledge is a bonus.

What This Is Not:

• A renewal-driven or account-maintenance role
• An inbound-only motion
• A transactional product sale

This is a true hunter role selling $250K–$10M+ ARR platform deals that change how work gets done across the healthcare ecosystem.

Why Trase:

• Deployed platform, real results—we’re not selling a roadmap. Trase is in production with demonstrated clinical and financial outcomes.
• A defining market moment. Every healthcare organization is trying to operationalize AI at scale—you’ll be shaping those decisions.
• True ownership. You’re building the territory, the relationships, and the commercial motion. The people who join now define how this company operates for years.
• Backed by Red Cell Partners with a leadership team that has operated at scale, including our President, formerly VP of AI/ML at AWS.

​​​Compensation: Base salary of ​​$175,000-$225,000 plus bonus. This represents the typical salary range for this position based on experience, skills, and other factors. 

About the Role

Location: Seattle, WA area

As a Staff Developer Experience Engineer (DevEx), you will own the systems, tooling, and workflows that enable engineers to build, test, and ship on Trase OS quickly and safely. As the first DevEx hire, you will build the base of the platform and team. 

This is a core platform engineering role, not internal tooling support. You will design and operate the development environment, build systems, and integration infrastructure that allow teams to work effectively in a distributed, multi-service system with strict reliability and security constraints.

Your work directly determines engineering velocity, system safety, and the ability to scale the team without increasing risk.

Why this role is needed

Trase OS is a complex, evolving platform with long-lived workflows, multiple services, and deployments across environments with varying security requirements.

As system complexity grows, developer friction and release risk become the primary bottlenecks. Without strong DevEx ownership:

• Cross-service changes become slow and error-prone
• Integration issues surface late (or in production)
• Local development diverges from production reality
• Each team reinvents workflows instead of building on shared foundations

This role exists to:

• Create paved roads for development and testing
• Ensure engineers can make changes confidently across services and environments
• Turn platform complexity into repeatable, reliable developer workflows

What you'll do

You will work on:

• A shared platform powering all Trase deployments
• Multi-service systems with complex integration points
• Development and testing workflows that must reflect real production behavior
• Tooling that enables safe iteration in security- and compliance-sensitive environments
  
  

You will:

• Design and maintain local development environments that mirror production behavior as closely as possible
• Build and operate build systems, CI pipelines, and test orchestration for multi-service systems
• Own integration and end-to-end testing infrastructure, including:
• Test environments and fixtures
• Cross-service test coordination
• Flake detection and reduction
• Develop internal tooling (CLI, SDKs, scaffolding) that standardizes how engineers interact with the platform
• Create repeatable workflows for building, testing, and deploying changes across services
• Improve developer feedback loops (build times, test reliability, debugging workflows)
• Partner with DevOps/SRE to ensure development workflows align with production reliability and deployment systems
• Establish and maintain runbooks, templates, and onboarding systems that reduce ramp time and inconsistency

Staff-level technical leadership

• Define and drive the developer experience strategy across Trase OS
• Establish standards for:
• Build and test systems
• Local development environments
• Cross-service integration workflows
• Identify and eliminate systemic sources of developer friction
• Partner with platform and product engineers to ensure new systems are designed with operability and testability in mind
• Mentor engineers and raise the bar for engineering productivity and development ergonomics
  
  

Qualifications

Required

• 8+ years of experience in software engineering, with significant focus on developer tooling, build systems, or platform engineering 
• Experience working in multi-service or distributed systems environments
• Strong experience with:
• CI/CD systems and build tooling
• Test infrastructure (integration / E2E)
• Developer tooling (CLIs, SDKs, scaffolding)
• Strong software engineering fundamentals (ability to build and maintain internal platforms/tools)
• Proven ability to improve developer velocity and system reliability simultaneously
• Experience driving cross-team technical initiatives
• Experience integrating LLMs into developer tooling, build systems, or internal platforms to improve engineering productivity
  
  

Nice to have

• Experience designing local-first or production-like dev environments (e.g., containerized or ephemeral environments)
• Experience reducing test flakiness at scale
• Familiarity with observability tooling for debugging developer workflows
• Experience working in regulated or security-sensitive environments
• Experience working with and extending developer productivity and build tooling to improve engineering workflows (e.g., GitHub, Linear, Bazel, SonarQube, Tilt, Notion, Cursor)

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.

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

About the Role:

Operating as the primary liaison at Duke Health, located in the Research Triangle, you will lead the partnership lifecycle for our anchor health system customer—one of the most sophisticated academic medical center ecosystems in the country—acting as a consultative advisor to clinical, operational, and executive stakeholders to drive AI transformation from initial discovery through scaled implementation.

In this role, you will work at the intersection of product strategy, enterprise deployment, and go-to-market for agentic AI systems, ensuring Trase delivers measurable operational value to our most critical healthcare partner. You will be instrumental in bringing operational AI from concept to production – defining high-value use cases, shaping technical and deal strategy, and scaling across service lines at a major Academic Medical Center, their regional affiliate network, and beyond.

Core Responsibilities:

Agentic AI Strategy & Roadmap

• Engage C-suite, clinical, operational, IT, academic, and research leaders to understand the strategic priorities across service lines (i.e., cardiology, primary care, oncology, DCRI, etc.) and map them to Trase agentic capabilities.
• Surface competitive intelligence of healthcare use cases gaining market traction to inform the joint Duke-Trase product roadmap and go-to-market strategy.
• Co-manage the quarterly Joint Steering Committee meeting and iterate on the charter as the partnership progressive to meet our collaborative objectives.

Use Case Discovery and Expansion

• Build the business cases and ROI frameworks that decision-makers need to select and prioritize Agentic use cases — clinical impact narratives (i.e., impact cards), financial models, and value stories grounded in real clinical data.
• Partner closely with Trase product and engineering, Trase technical program managers, and Duke clinical leads to translate partner needs and requirements into scoped engagements.
• Navigate legal, procurement, compliance, clinical, and IT governance processes across large, matrixed health system organizations. This involves leading multi-disciplinary reviews to ensure that all AI deployments adhere to institutional safety standards, data privacy regulations, and complex hospital system bylaws.
• Proactively identify potential regulatory bottlenecks and collaborate with internal Trase legal and security teams to streamline the path from initial technical discovery to formal procurement and clinical activation.
• Structure and negotiate Statements of Work (SOWs) within the established enterprise agreement, ensuring each engagement is clearly defined with measurable milestones and success criteria.
• Collaborate with internal Trase legal, security, and product teams to ensure all negotiated SOWs align with the partner's clinical & IT requirements.
• Proactively manage the lifecycle of these agreements, from initial technical discovery and scoping to formal procurement and eventual clinical activation and expansion to additional service lines.

Change Management & Institutional Advocacy

• Act as an exceptional relationship builder, navigating internal dynamics and organizational inertia to drive the cultural adoption of AI workflows.
• Create and own the change management playbook: identify clinical champions, manage stakeholder expectations, and resolve implementation friction to ensure long-term success.
• Advise on technical governance, AI safety, and auditability to help partners navigate highly regulated healthcare environments.
• Develop and maintain a living account plan for the account — mapping stakeholder relationships, expansion opportunities, adoption health, and 12–24 month priorities. This document is an institutional asset, not a sales artifact.
• Own escalations and navigate setbacks without losing the relationship. When implementations are bumpy or expectations aren't met, you're the person who holds the trust together and drives resolution.
• Coordinate collaborative research and marketing efforts (i.e., case studies, blog posts, publications, etc.), aligning stakeholders and advancing descriptive and research publications under a joint governance framework.
• Contribute to building Trase’s commercial playbook for health systems — you’re among the early team members, and your learnings will shape how we scale.
• Represent Trase at regional and national healthcare conferences and industry events.

You’re a Strong Fit If You:

• Have 5-10 years of experience in healthcare consulting, management consulting, clinical operations, health system operations, medical informatics, or a high-performance commercial role at a health-tech company.
• Have foundational knowledge of clinical and administrative healthcare workflows; can translate complex clinical needs into technical AI capabilities, ensuring Trase delivers measurable operational value.
• Have deep knowledge of healthcare data; have experience managing complex technical integrations, including EHR systems (Epic and Cerner), Outlook, fax servers, telephone systems, HIEs, and remote monitoring devices.
• Have sold into — or worked directly inside — academic medical centers or large integrated delivery networks.
• Have previously managed complex, multi-stakeholder deals, keeping them moving without losing the relationship.
• Are a builder: you don’t wait for the playbook, you write it.
• Lead with curiosity and genuine empathy. You're interested in how our partner actually works — their culture, their pressures, their internal politics — not just what you can sell to them.
• Have built relationships that outlasted deals. You can point to customers where you were trusted not because you closed something, but because you showed up consistently and made the customer more successful.
• Are a steward, not just a hunter. You understand that at a marquee customer, protecting the relationship is as important as growing it — and you know the difference between the two.
• Are based in or willing to relocate to the Durham, NC area — this role requires consistent on-site presence with your accounts.
• Direct clinical experience (e.g., practicing physician, nurse, or clinical researcher) is a strong plus.

Why Trase:

• Deployed platform, real results. We’re not selling a roadmap. Trase is in production at leading health systems with demonstrated clinical and financial outcomes.
• A defining market moment. Every health system leadership team in the country is trying to figure out how to operationalize AI at scale. You’ll be in those rooms, shaping those decisions.
• True ownership. You’re not the tenth AE. You’re building the territory, the relationships, and the commercial motion. The people who join now define how this company operates for years.
• Backed by serious investors. Trase is a Red Cell Partners company with institutional backing and a leadership team that has operated at scale — including our President, formerly VP of AI/ML at AWS.

​​​Compensation: Base salary of ​​$175,000-$200,000 plus bonus. This represents the typical salary range for this position based on experience, skills, and other factors. 

The Role: 

Trase is an agentic AI platform in production at Duke Health, where our agents save over 5,490 hours of clinical labor annually in a single department. We’ve raised $10.5M from Red Cell Partners. Now we’re building the go-to-market engine to scale.

We’re hiring a GTM Engineer—not a traditional SDR. One person who builds and operates the entire top-of-funnel system using AI tools, data enrichment, and automated workflows. You’ll be measured on pipeline and meetings booked. But the way you get there is by engineering systems, not grinding through call lists.

What You’ll Do:

• 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.

About You:

• 2–4 years in B2B sales, sales ops, rev ops, or growth—and you were the person who built the systems, not just used them.
• Hands-on with Clay, Apollo, Salesforce, or similar GTM tooling. You’ve configured workflows, not just run someone else’s sequences.
• Systems thinker. You see a manual process and immediately design how to automate it.
• Strong writer. Your outreach reads like a human did two hours of research—because an AI did, and you shaped the message.
• Comfortable working independently at an early-stage company. You won’t be closely managed.

Bonus:

• Healthcare or health-tech experience—you know what a CMIO is and how health system procurement works.
• Technical depth beyond no-code: SQL, Python, or API experience for custom data pipelines.
• You’ve built a GTM system from scratch, not just operated one that was already running.

Not What We’re Looking For:

High-volume dialers, tool administrators who don’t think about outcomes, or anyone who needs a playbook handed to them. You’re building the playbook.

Why Trase:

• Deployed product with real clinical outcomes, not a pitch deck.
• Every health system in the country is figuring out AI—you’ll be in those conversations from day one.
• True ownership: you’re building the territory, the tooling, and the outbound playbook.
• AI-native environment—you’ll use AI tools every day, not just talk about them.
• Red Cell Partners–backed, leadership team that has operated at scale (President: former VP AI/ML at AWS).

​​​Compensation: Base salary of ​​$130,000-$150,000 plus bonus. This represents the typical salary range for this position based on experience, skills, and other factors.