1 день назад
Staff Software Engineer (AI Platform)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Software Engineer (AI Platform) (AI, distributed systems, SaaS): Defining platform architecture and building AI-assisted development systems for a marketing spend management SaaS platform with an accent on multi-tenancy, data-intensive applications, APIs, and agent orchestration. Focus on designing production-scale agent pipelines, evaluating AI-generated code, establishing engineering standards, and making architectural tradeoffs for scalable systems.
Location: Louisville, Colorado, United States; hybrid
Company
provides software that helps marketing teams plan, manage, and measure marketing spend.
What you will do
- Set the technical direction for the engineering team and make major platform architecture decisions.
- Design and operate AI-assisted development systems, including agent orchestration, task decomposition, output evaluation, and quality-control pipelines.
- Define standards for code review, observability, deployment practices, and AI-delegatable work.
- Uplift engineers through pairing, design reviews, RFCs, ADRs, and mentorship.
- Shape technical strategy by translating customer problems into scalable architectural approaches.
Requirements
- 10+ years of software engineering experience, including 2–3 years at Staff or Principal level, or equivalent scope.
- Experience leading the architecture of a platform or product at significant scale.
- Deep expertise in distributed systems, data-intensive applications, or multi-tenant SaaS platforms.
- Experience designing agent pipelines, managing production-scale model context windows, and building evaluation frameworks.
- Experience with public APIs, productized integrations, and MCP servers in brownfield environments.
- Familiarity with AWS, Java, TypeScript, and React or Angular.
Nice to have
- Experience improving the effectiveness of other engineers and building internal developer tooling.
- Background in marketing technology, analytics, or data-heavy SaaS products.
- Experience at a private-equity-backed or venture-backed company during a growth phase.
Culture & Benefits
- Remote-friendly team with a hybrid work arrangement for this role.
- Collaborative environment focused on diverse perspectives and bringing people into technical decisions.
- Work centered on solving complex problems and building products that create meaningful customer impact.
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