Senior Manager, AI Engineering
Employment Information
Job Description
Senior Engineering Manager at Pryon overseeing AI Engineering, driving technical strategy for core IR platform.
Responsibilities:
- Manage and cultivate multiple engineering teams, fostering a culture of technical excellence, innovation, and collaboration.
- Drive the IR platform roadmap in partnership with Product and Research teams.
- Oversee the end-to-end software development lifecycle, ensuring timely delivery of high-quality, scalable solutions.
- Serve as a technical expert within the team, guiding architectural discussions, participating in design reviews, review and contribute code when needed, and helping to solve the most complex technical challenges.
- Partner with product managers, researchers, and other engineering orgs to deliver impactful features and ensure alignment with broader business objectives.
- Drive improvements in our engineering processes and practices, including CI/CD, monitoring, observability, and support rotations, to ensure the smooth operation of our platform.
- Build and scale the AI Engineering organization. Create a culture of learning, psychological safety, and technical excellence.
Requirements:
- 7+ years software engineering experience, including 3-5 years managing multiple engineering squads (10+ engineers total)
- Proven track record building information retrieval, AI memory systems at scale
- Deep technical expertise in Information retrieval, vector search, or ranking systems, Distributed data processing and ingestion pipelines, NLP/LLM infrastructure and RAG architectures, Large-scale database optimization (SQL and NoSQL)
- Hands-on experience with the technical stack: Python, Kubernetes, cloud platforms (AWS/GCP/Azure), vector databases
- Strong people leadership - building high-performing teams, coaching senior ICs (Staff/Principal level), driving technical excellence through mentorship
- Ability to balance short-term delivery with long-term architectural vision and technical debt management
- Proficiency in one or more programming languages such as Python, Go, or Java
- Experience with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes)
- Understanding of distributed systems, microservices architectures, and their challenges
- Familiarity with MLOps practices and tools (ML Flow, model serving, monitoring)
- Demonstrated ability to hire, lead, and mentor high-performing engineering teams
- Excellent communication and interpersonal skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences
- Strategic Mindset, with the ability to align technical decisions with business goals and product strategy
- Passion for fostering a collaborative, inclusive, and psychologically safe team environment
- Track record of delivering complex projects on time while maintaining high quality standards
Benefits:
- Remote first organization
- 100% Company paid Health/Dental/Vision benefits for you and your dependents
- Life Insurance, Short-term and Long-term Disability
- 401k
- Unlimited PTO
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