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Salary: USD 238,000 - 280,000 / annual
Jasper is the marketing agents platform that helps enterprises orchestrate AI agents to execute marketing work at scale. The company is trusted by hundreds of enterprises, including nearly 20% of the Fortune 500, and was founded in 2021 with teams across the US, Australia, and France.
As Senior Manager, Engineering on the IQ Platform team, you will lead the vision and architecture of the context layer that powers Jasper's AI agents. This is a critical technical area: the IQ Platform enables agents to understand business context, deliver high-value intelligence, and execute complex marketing workflows with high quality and reliability.
This is a player-coach role combining people leadership with hands-on technical contribution. You will lead a team of engineers while staying close to the architecture and code. You'll partner with Staff-level engineers to drive technical strategy, shape the roadmap for knowledge management and RAG systems, and oversee the evolution of a self-improving context layer.
Key responsibilities include:
- Leading the IQ Platform team: setting technical direction, coaching engineers, and owning delivery of major platform initiatives end-to-end
- Charting and communicating the vision for the context layer, aligning engineering investments with business impact and product strategy
- Building and scaling the knowledge management system, including external integrations and RAG pipelines that feed context to agents
- Designing and implementing architecture that makes the context layer self-improving—learning from usage, feedback, and new data
- Acting as a player-coach: writing and reviewing code alongside the team while mentoring engineers and raising the bar on technical excellence
- Partnering with Staff-level and senior engineers as a strategic thinking partner on complex, ambiguous problems
- Balancing velocity and quality in a startup environment—shipping major systems pragmatically while keeping architecture extensible
- Collaborating cross-functionally with Product, Design, and other Engineering teams to ensure the IQ Platform powers real-world agent workflows at scale
Requirements:
- AI fluency: working understanding of core AI concepts (LLMs, agents, copilots, tokens, credits, context windows, RAG, data governance) applied in the context of building and leading an AI platform engineering team
- 10+ years of hands-on software engineering experience with demonstrated people leadership and technical architecture ownership
- Proven leadership at a company focused on business impact—developing engineers, building healthy teams, and connecting technical work to business outcomes
- Flexibility to ship major systems in a startup environment—scrappy, velocity-oriented, and comfortable with ambiguity and evolving requirements
- Ability to work effectively with Staff-level engineers as a true thinking partner on hard architectural and systems-design problems
- Strong systems design and architecture skills with experience building production platforms or infrastructure at scale
- Nice to have: hands-on experience with LLMs and applied LLM systems
- Nice to have: RAG expertise, including retrieval pipelines, embedding strategies, and evaluation
- Nice to have: familiarity with LLM frameworks such as LangChain
