- Страна
- США
- Зарплата
- 200 000 $ – 260 000 $
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Senior Staff Technical Program Manager (AI Platform/OS)
Высокая оценка обусловлена лидирующими позициями компании в области AI, конкурентной зарплатой и возможностью работать над критически важными системами. Полная оплата страховки и работа в удаленном формате добавляют привлекательности.
Сложность вакансии
Роль требует исключительного сочетания глубоких технических знаний (код, архитектура, AI) и навыков управления сложными программами в распределенных системах. Ожидается опыт более 12 лет и способность влиять на процессы на уровне всей организации.
Анализ зарплаты
Предлагаемая зарплата ($200k-$260k) полностью соответствует рыночным стандартам для позиций уровня Senior Staff TPM в США, особенно в быстрорастущих AI-стартапах. Верхняя граница диапазона является весьма конкурентной даже для крупных технологических хабов.
Сопроводительное письмо
I am writing to express my strong interest in the Senior Staff Technical Program Manager position at Trase. With over 12 years of experience navigating the complexities of distributed systems and cloud infrastructure, I am particularly drawn to Trase’s mission of simplifying AI adoption for the enterprise. My background in driving execution across highly coupled platform teams aligns perfectly with your need for someone to own the internal operating system for engineering execution.
In my previous roles, I have successfully bridged the gap between platform engineering, DevOps, and AI/ML workflows, ensuring that technical investments translate into reliable, measurable outcomes. I am deeply technical and comfortable reading production code or analyzing system architecture to unblock engineering teams. I am excited by the challenge of managing long-lived, stateful workflows and cross-service dependencies within your orchestration-heavy platform, especially given Trase's impressive standing on the Hugging Face GAIA Leaderboard.
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Описание вакансии
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 contacttalent@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.
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Навыки
- LLM
- Kubernetes
- SRE
- CI/CD
- DevOps
- Infrastructure as Code
- System Architecture
- Distributed Systems
- Cloud Infrastructure
- APIs
- Observability
- AI/ML Systems
Возможные вопросы на собеседовании
Проверка технической глубины и понимания архитектуры распределенных систем.
Опишите случай, когда вам пришлось глубоко погрузиться в код или архитектуру системы, чтобы выявить узкое место в производительности или надежности. Какое решение было принято?
Оценка навыков управления зависимостями в сложной среде.
Как вы подходите к приоритизации и синхронизации задач, когда несколько команд зависят от одного критического компонента платформы, но имеют разные сроки выпуска?
Проверка опыта работы с AI-инфраструктурой.
С какими специфическими рисками вы сталкивались при развертывании LLM-ориентированных рабочих процессов в продакшн и как вы их минимизировали?
Оценка лидерских качеств и влияния без прямого подчинения.
Как вы внедряли изменения в инженерную культуру или процессы (например, CI/CD или стандарты надежности), когда сталкивались с сопротивлением со стороны команд?
Проверка умения принимать решения в условиях неопределенности.
На основе каких критериев вы принимаете решение 'go/no-go' для крупного релиза платформы в условиях сжатых сроков?
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- Страна
- США
- Зарплата
- 200 000 $ – 260 000 $