Pryon
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Senior Manager, AI Engineering
role at
Pryon
This range is provided by Pryon. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range $220,000.00/yr - $240,000.00/yr
We’re a team of AI, technology, and language experts whose DNA lives in Alexa, Siri, Watson, and virtually every human language technology product on the market. Now we’re building an industry-leading knowledge management and Retrieval-Augmented Generation (RAG) platform. Our proprietary, cutting‑edge natural language processing capabilities transform unstructured data into meaningful experiences that increase productivity with unmatched accuracy and speed.
Pryon’s AI Memory platform powers mission‑critical deployments for Fortune 500 enterprises and government agencies. Our sophisticated IRQA (Information Retrieval Question Answering) architecture combines hybrid search (sparse + dense vectors), multi‑stage neural scoring, and RAG to deliver unmatched accuracy and speed at petabyte scale.
We’re seeking a highly technical Senior Engineering Manager to lead our AI Engineering organization responsible for the core IR platform: data ingestion, retrieval systems, and generative AI capabilities. You’ll manage three engineering teams, partner closely with our Research team, and drive technical strategy for Pryon’s foundational memory layer technology. This is a critical role where you will be at the forefront of building and scaling the systems that power our data ingestion, retrieval, and generative AI capabilities.
In This Role, You Will:
Lead and mentor: Manage and cultivate multiple engineering teams, fostering a culture of technical excellence, innovation, and collaboration. 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. 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, reviewing and contributing code when needed, and solving complex technical challenges.
Cross‑functional collaboration: Partner with product managers, researchers, and other engineering orgs to deliver impactful features and ensure alignment with broader business objectives.
Operational excellence: Drive improvements in engineering processes and practices, including CI/CD, monitoring, observability, and support rotations, to ensure 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.
What You’ll Need to Be Successful:
7+ years software engineering experience, including 3-5 years managing multiple engineering squads (10+ engineers total)
Proven track record building information retrieval and AI memory systems at scale
Deep technical expertise in information retrieval, vector search, 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, 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
Preferred Qualifications:
Experience managing both on‑prem and cloud deployments
Background in AI/ML research collaboration or research‑to‑production pipelines
Familiarity with specific technologies: OpenSearch, pgvector, Yugabyte, Kafka, FluxCD, LiteLLM
Prior startup experience (Series A‑C growth stage)
Publications or speaking experience on IR/search/ML/AI memory systems
Experience with enterprise and government deployments (compliance, security)
Coaching: Experience developing engineers from mid‑level to senior/staff levels
Benefits for Full Time Employees:
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
We are interested in every qualified candidate who is authorized to work in the United States. However, we are not able to sponsor or take over sponsorship of employment visas at this time.
Pryon will not consider race, religion, sex, sexual preference, or national origin in ways that violate the Nation’s civil rights laws.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
#J-18808-Ljbffr
Senior Manager, AI Engineering
role at
Pryon
This range is provided by Pryon. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range $220,000.00/yr - $240,000.00/yr
We’re a team of AI, technology, and language experts whose DNA lives in Alexa, Siri, Watson, and virtually every human language technology product on the market. Now we’re building an industry-leading knowledge management and Retrieval-Augmented Generation (RAG) platform. Our proprietary, cutting‑edge natural language processing capabilities transform unstructured data into meaningful experiences that increase productivity with unmatched accuracy and speed.
Pryon’s AI Memory platform powers mission‑critical deployments for Fortune 500 enterprises and government agencies. Our sophisticated IRQA (Information Retrieval Question Answering) architecture combines hybrid search (sparse + dense vectors), multi‑stage neural scoring, and RAG to deliver unmatched accuracy and speed at petabyte scale.
We’re seeking a highly technical Senior Engineering Manager to lead our AI Engineering organization responsible for the core IR platform: data ingestion, retrieval systems, and generative AI capabilities. You’ll manage three engineering teams, partner closely with our Research team, and drive technical strategy for Pryon’s foundational memory layer technology. This is a critical role where you will be at the forefront of building and scaling the systems that power our data ingestion, retrieval, and generative AI capabilities.
In This Role, You Will:
Lead and mentor: Manage and cultivate multiple engineering teams, fostering a culture of technical excellence, innovation, and collaboration. 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. 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, reviewing and contributing code when needed, and solving complex technical challenges.
Cross‑functional collaboration: Partner with product managers, researchers, and other engineering orgs to deliver impactful features and ensure alignment with broader business objectives.
Operational excellence: Drive improvements in engineering processes and practices, including CI/CD, monitoring, observability, and support rotations, to ensure 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.
What You’ll Need to Be Successful:
7+ years software engineering experience, including 3-5 years managing multiple engineering squads (10+ engineers total)
Proven track record building information retrieval and AI memory systems at scale
Deep technical expertise in information retrieval, vector search, 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, 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
Preferred Qualifications:
Experience managing both on‑prem and cloud deployments
Background in AI/ML research collaboration or research‑to‑production pipelines
Familiarity with specific technologies: OpenSearch, pgvector, Yugabyte, Kafka, FluxCD, LiteLLM
Prior startup experience (Series A‑C growth stage)
Publications or speaking experience on IR/search/ML/AI memory systems
Experience with enterprise and government deployments (compliance, security)
Coaching: Experience developing engineers from mid‑level to senior/staff levels
Benefits for Full Time Employees:
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
We are interested in every qualified candidate who is authorized to work in the United States. However, we are not able to sponsor or take over sponsorship of employment visas at this time.
Pryon will not consider race, religion, sex, sexual preference, or national origin in ways that violate the Nation’s civil rights laws.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
#J-18808-Ljbffr