Senior Manager - Engineering

About Trase

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

We are seeking a self-driven Senior Engineering Manager to help scale and execute our engineering efforts. Reporting to the Director of Engineering this leader will drive day-to-day engineering execution ensure delivery across multiple product verticals and provide technical depth in both full-stack development and AI/ML.

This role is ideal for someone who thrives in ambiguity moves fast and is energized by the intersection of AI infrastructure security and real-world enterprise workloads.

Responsibilities

• Lead Engineering Execution: Own sprint planning standups retrospectives backlog grooming and cross-functional coordination. Drive delivery across multiple product areas including AI agents workflow automation integrations and UI/backend systems.

• Build & Maintain Engineering Metrics: Design and maintain dashboards and reporting systems covering capacity velocity lead time deployment quality resource utilization and other performance KPIs. Identify trends and surface risks early through data-driven insights.

• Technical Leadership & Mentorship: Provide architectural guidance for full-stack and AI/ML components. Shape design decisions enforce high code quality and ensure scalable and compliant infrastructure.

• Process Optimization & Operational Excellence: Identify bottlenecks and friction points across teams. Implement process improvements and reinforce engineering best practices to improve speed stability and collaboration.

• Cross‑Functional Collaboration: Collaborate closely with Product Security and Compliance to meet business requirements and regulatory needs (e.g. SOC2 HIPAA). Ensure all deliverables meet enterprise-grade standards.

• Support Team Growth & Scalability: Help onboard and grow engineering talent especially junior and mid-level engineers. Maintain high standards of execution as the organization scales.

• Self‑Starter Mindset: Take ownership of undefined or evolving problems propose and implement solutions independently and adapt quickly in a fast-paced environment.

Requirements

• 8+ years of engineering leadership or management experience within full-stack or AI/ML-focused environments.

• Hands-on background building and shipping enterprise-grade software preferably with experience deploying models or agents integrating ML services and working across backend frontend and data pipelines.

• Strong grasp of Agile/Scrum with a proven track record of leading teams to successful delivery.

• Deep familiarity with observability capacity planning service level management performance monitoring and end-to-end software delivery lifecycle.

• Experience operating in environments with strict security and compliance requirements.

• Strong cross-functional communication skills and ability to partner with product design compliance and security teams.

• Ability to dive deep technically–software architecture backend/frontend integration AI/ML system design scalable infrastructure observability and deployment pipelines.

• Self-motivated bias for action comfortable with ambiguity able to take proactive initiative and ownership of end-to-end outcomes.

• Comfortable navigating startup-like environments: ambiguity rapid change evolving priorities fast-paced deliverables.

• Data/metrics-driven: you believe in using dashboards KPIs and data-backed insights to inform decisions track progress and surface issues early.

• Demonstrated success working in teams that ship fast and iterate quickly while maintaining quality stability and security.

Benefits

• 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 with educational reimbursements.

• Optional 401K FSA and equity incentives available.

• Mental health benefits through TARA Mind .

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: $220000-250000. This represents the typical salary range for this position based on experience skills and other factors.

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