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Pryon · 1 month ago

Senior Manager, AI Engineering

United States

Full-time

Remote

Senior Level

$220K/yr - $240K/yr

7+ years exp

Pryon is a company specializing in AI and language technology, building a cutting-edge knowledge management and Retrieval-Augmented Generation platform. They are seeking a Senior Engineering Manager to lead their AI Engineering organization, overseeing teams responsible for data ingestion, retrieval systems, and generative AI capabilities while driving technical strategy and fostering a culture of innovation.

Artificial Intelligence (AI)Computer VisionGenerative AIKnowledge ManagementMachine Learning

Growth Opportunities

No H1B

Responsibilities

Lead and Mentor: Manage and cultivate multiple engineering teams, fostering a culture of technical excellence, innovation, and collaboration. You will be responsible for the growth and development of your managers (if applicable) and individual contributors. Build a high-performing team through effective hiring, coaching, and performance management

Technical Strategy and Vision: Drive the IR platform roadmap in partnership with Product and Research teams

Execution and Delivery: Oversee the end-to-end software development lifecycle, ensuring timely delivery of high-quality, scalable solutions. You will work closely with product management and other stakeholders to align on priorities and deliverables. Balance feature delivery with technical debt reduction

Hands-On Technical Leadership: 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. Your deep understanding of large-scale data ingestion, retrieval systems, and large language models will be crucial. Collaborate with senior architects to ensure consistency and alignment of technical design. You will have to earn respect from your team through the strength of your technical calibre

Cross-Functional Collaboration: Partner with product managers, researchers, and other engineering orgs to deliver impactful features and ensure alignment with broader business objectives. Foster strong relationships with the Research team to accelerate innovation pipeline

Operational Excellence: Drive improvements in our engineering processes and practices, including CI/CD, monitoring, observability, and support rotations, to ensure the smooth operation of our platform. Establish clear SLOs and incident management processes

Team Growth and Culture: Build and scale the AI Engineering organization. Create a culture of learning, psychological safety, and technical excellence

Qualification

Information retrieval systemsAI memory systemsData ingestion pipelinesNLP/LLM infrastructurePythonCloud platformsKubernetesDistributed systemsMLOps practicesLeadershipCommunication skillsStrategic mindsetCollaboration

Required

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