Principal Tech Product Manager, Agentic AI Workflows, Annapurna Labs

Amazon • New York, NY

1d

About The Position

AWS Trainium is deployed at scale, with millions of chips in production, and has
been used for training and inference of frontier models. AWS Neuron is the
software stack for Trainium, enabling customers to run deep learning and
generative AI workloads with optimal performance and cost efficiency.

AWS Neuron is hiring a Principal Technical Product Manager to drive the product
strategy for agentic AI systems that accelerate customer adoption of Trainium.
You will own the end to end product experience for autonomous and interactive
workflows that leverage generative AI to port, optimize, and tune ML models for
Neuron, enabling customers to seamlessly migrate from other platforms and
achieve optimal performance with minimal manual intervention.

You will define how customers interact with our agentic systems, spanning
interactive IDE based experiences to fully autonomous production pipelines. You
will drive the strategy for knowledge systems that help agents learn and
improve, and integration with the Neuron SDK and developer tools.

To be successful in this role, you will partner with engineering teams building
agentic infrastructure, applied scientists developing in-context learning, post
training and reinforcement learning approaches, PMs responsible for Neuron
compiler, runtime, and NKI, as well as Marketing, Business Development, and
Solution Architects supporting customers. You will develop deep knowledge of LLM
based automation, agentic system architectures, model transformation workflows,
and kernel optimization to effectively define product strategy and make informed
technical decisions.

The Ideal Candidate

The ideal candidate can navigate ambiguity in a fast moving, early stage
initiative, balance competing priorities across multiple workstreams, and drive
alignment across engineering and science stakeholders with excellent written and
verbal communication abilities.

The ideal candidate has experience with:

Technical product management for AI/ML platforms, developer tools, or automation
systems

LLM based applications and agentic AI architectures (multi agent systems, tool
use, autonomous workflows)

ML model lifecycle management (training, fine tuning, deployment, optimization)

Developer experience for AI assisted tooling and IDE integrations

Data platforms and knowledge management systems

Metrics driven product development with clear success criteria

About AWS Neuron

AWS Neuron is the software stack for running deep learning and generative AI
workloads on AWS Trainium and AWS Inferentia. It includes a compiler, runtime,
training and inference libraries, and developer tools for monitoring, profiling,
and debugging. Built on an open source foundation, Neuron supports native
PyTorch and JAX frameworks and popular ML libraries without code modification.
Neuron enables rapid experimentation, distributed training across multiple chips
and nodes, and cost optimized inference powered by optimized kernels. For
performance optimization, Neuron provides the Neuron Kernel Interface (NKI) for
direct hardware access and a suite of profiling and debugging tools.

Requirements

• Bachelor's degree
• 10+ years of industry experience with at least 5+ years in Technical product management and 3+ years of software development
• Experience with technical product management for AI/ML platforms, developer tools, or automation systems
• Demonstrated experience with LLM based applications, including prompt engineering, agent architectures, or AI assisted tooling
• Experience defining metrics and success criteria for AI/ML products
• Excellent written and verbal communication abilities

Nice To Haves

• Experience with agentic AI systems (multi agent orchestration, tool use, autonomous workflows)
• Knowledge of ML model architectures (transformers, attention mechanisms, mixture of experts models)
• Experience with model optimization techniques (quantization, sharding, speculative decoding)
• Familiarity with ML frameworks (PyTorch, JAX) and model hubs (Hugging Face)
• Experience with data platforms or knowledge management systems
• Understanding of reinforcement learning concepts and post training pipelines
• Experience with developer tools and IDE integrations
• Exposure to compiler technologies, kernel development, or hardware acceleration
• Track record of driving open source projects or ecosystem partnerships
• Experience operating in early stage, ambiguous environments with startup like velocity

Responsibilities

• Drive and execute product strategy and roadmap working backwards from customer requirements in collaboration with engineering technical leadership
• Assess technical implications of product architecture and optimization decisions
• Drive technical alignment across Neuron components, Neuron workflows and dependencies
• Work directly with software engineering teams to define and execute on new features
• Produce clear and concise documents such as PRFAQ and PRD documents
• Write user stories, and validate features meet developer needs
• Drive feature discussions with customers, engineering, and other stakeholders
• Anticipate bottlenecks, manage risk and escalations, balancing technical constraints
• Find opportunities to innovate on behalf of our customers, design features related to these opportunities, and always push to improve our product developer experience
• Build ecosystem partnerships and stay connected with industry trends
• Represent the product in relevant industry events

Benefits

• health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• paid time off
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level