Lead the IQ Platform team at Jasper, shaping the architecture and vision for AI-driven marketing workflows.
Posted by employer 1 day ago
First seen on Joblaze 8 hours ago
Last verified on the company career page 8 hours ago
Skills & Technologies
What you'll build
Must have
Nice to have
Role intensity
40% coding
AI in the day-to-day
Our agents run end-to-end marketing workflows with high quality and reliability because of the IQ layer.
Requirements
Not disclosed in this posting: visa sponsorship.
Benefits
Joblaze summary
In the role of Senior Manager, Engineering at Jasper, the individual will oversee the IQ Platform team, guiding the development of a context layer that enhances AI agents' marketing capabilities. Key skills include a strong background in software engineering, technical architecture, and AI concepts, particularly in relation to large language models and retrieval-augmented generation. This position is suited for seasoned professionals with over a decade of experience who can balance leadership with hands-on coding in a fast-paced startup environment.
Joblaze insights
Quick facts
From the original posting
As a Senior Manager, Engineering on the IQ Platform team, you'll lead the vision and architecture behind the context layer that powers everything our AI agents do. Our agents run end-to-end marketing workflows with high quality and reliability because of the IQ layer. This is one of the most important technical areas of our product: the IQ Platform helps agents understand business context, deliver high-value intelligence, and execute complex marketing workflows.
This is a player-coach role: you'll lead a team of engineers while staying close to the architecture and code, acting as both a people leader and a hands-on technical contributor. You'll partner with Staff-level engineers to cut through ambiguity and drive technical strategy forward. Your guidance will shape the roadmap for our knowledge management and RAG systems, and drive the evolution of a context layer that learns and improves over time.
This fully remote role reports to the Senior Director, Engineering and is open to candidates located anywhere in the US.
Lead the IQ Platform team—set technical direction, coach engineers, and own delivery of major platform initiatives end-to-end
Chart and communicate the vision for our context layer, aligning engineering investments with business impact and product strategy
Build and scale our knowledge management system, including external integrations and RAG pipelines that feed high-quality context to our agents
Design and implement the architecture that makes our context layer self-improving—learning from usage, feedback, and new data to continuously raise quality
Act as a player-coach: write and review code alongside the team while mentoring engineers and raising the bar on technical excellence
Partner with Staff-level and senior engineers across the org as a strategic thinking partner on complex, ambiguous problems
Balance velocity and quality in a startup environment—shipping major systems pragmatically while keeping the architecture extensible
Collaborate cross-functionally with Product, Design, and other Engineering teams to ensure the IQ Platform powers real-world agent workflows at scale
AI fluency—a working understanding of core AI concepts (LLMs, agents, copilots, tokens, credits, context windows, RAG, data governance, etc.), 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—you develop engineers, build healthy teams, and connect 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
At Jasper, we believe in pay transparency and are committed to providing our employees and candidates with access to information about our compensation practices. The expected base salary range offered for this role is $238,000 - $280,000. Compensation may vary based on relevant experience, skills, competencies, and certifications.
Comprehensive Health, Dental, and Vision coverage beginning on the first day for employees and their families
Equity grant participation
Generous budget for home office set up
$1,500 annual learning and development stipend
16 weeks of paid parental leave
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