Technical Product Manager

Amadeus Search; San Francisco (CA); On-site; USD 140,000 - 200,000; Full time

Benefits offered by this job

Equity

Performance bonuses

Medical, dental, and vision coverage

Retirement plans

Wellness benefits

Job summary

A leading technology company is seeking a Technical Product Manager to define and execute the product strategy for a next-generation AI platform. In this role, you will bridge engineering and product management, managing complex technical products from idea to implementation. The ideal candidate has over 6 years of experience in AI or cloud infrastructure, a strong understanding of AI workflows, and the ability to communicate effectively with disparate teams. Competitive compensation and benefits are offered.

Qualifications

• 6+ years of product management experience in AI, cloud platforms, infrastructure, or developer tools.
• Strong understanding of AI training, inference, and deployment workflows.
• Experience working with large-scale AI workloads and infrastructure.
• Solid technical foundation in compilers, AI frameworks (e.g., PyTorch, JAX, TensorFlow, XLA, Triton), and cloud-native systems.
• Ability to translate customer needs into clear product direction and execution plans.
• Excellent communication skills with both technical and non-technical stakeholders.
• Proven track record of shipping successful products in fast-paced environments.

Responsibilities

• Identify and analyze AI workloads across industries, focusing on large-scale training and inference infrastructure.
• Define product strategies for optimizing AI workloads using a hardware-agnostic software stack.
• Partner closely with engineering teams to scope, prioritize, and deliver complex technical products.
• Engage directly with enterprise AI teams, model builders, and developers to gather insights and translate them into product requirements.
• Collaborate cross-functionally with engineering, sales, and marketing to support adoption and go-to-market execution.
• Define, track, and analyze key metrics to measure product impact and drive continuous improvement.
• Stay current with advancements in AI infrastructure, compilers, frameworks, and distributed systems.
• Support go-to-market strategies for AI infrastructure and developer-facing products.

Skills

Product management

AI workflows

Cloud platforms

Developer tools

Tools

PyTorch

JAX

TensorFlow

XLA

Triton

Kubernetes

Docker

Terraform

Job description

Company Overview

Our client is an early-stage technology company building next-generation AI infrastructure designed to remove the limitations of scale, hardware dependency, and cost. Their platform enables developers to write once and run anywhere—delivering state-of-the-art performance across any chip, cloud, or system, from laptops to supercomputers.

The company operates at the intersection of compilers, distributed systems, and AI runtime optimization, rethinking how software and hardware interact in a post–Moore’s Law world. The team is focused on building a unified, hardware-agnostic software stack that powers modern AI training and inference at scale.

This is a highly technical organization tackling frontier problems in performance, developer experience, and AI infrastructure.

Role Overview

Our client is seeking a Technical Product Manager to work closely with company leadership and engineering to define, build, and execute the product strategy behind a next-generation AI platform.

This is not a typical PM role. The Technical Product Manager will operate at the intersection of compilers, distributed runtimes, and developer tooling—translating complex systems into products that materially improve how AI teams train, deploy, and optimize models at scale.

The role requires driving clarity in ambiguous environments, validating product hypotheses, defining success metrics, and ensuring the delivery of high-impact, scalable solutions for enterprise AI teams and model builders.

This opportunity is ideal for someone who thrives in deeply technical environments, enjoys working from first principles, and wants to shape the future of AI infrastructure.

What You’ll Do

• Identify and analyze AI workloads across industries, with a focus on large-scale training and inference infrastructure

• Define product strategies for optimizing AI workloads using a hardware-agnostic software stack

• Partner closely with engineering teams to scope, prioritize, and deliver complex technical products

• Engage directly with enterprise AI teams, model builders, and developers to gather insights and translate them into product requirements

• Collaborate cross-functionally with engineering, sales, and marketing to support adoption and go-to-market execution

• Define, track, and analyze key metrics to measure product impact and drive continuous improvement

• Stay current with advancements in AI infrastructure, compilers, frameworks, and distributed systems

• Support go-to-market strategies for AI infrastructure and developer-facing products

What You’ll Bring

• 6+ years of product management experience in AI, cloud platforms, infrastructure, or developer tools

• Strong understanding of AI training, inference, and deployment workflows

• Experience working with large-scale AI workloads and infrastructure

• Solid technical foundation in compilers, AI frameworks (e.g., PyTorch, JAX, TensorFlow, XLA, Triton), and cloud-native systems

• Ability to translate customer needs into clear product direction and execution plans

• Excellent communication skills with both technical and non-technical stakeholders

• Proven track record of shipping successful products in fast-paced environments

Nice to Have

• Experience in a high-growth startup environment

• Hands-on Python experience

• Familiarity with Kubernetes, Docker, Terraform, and cloud-native infrastructure

• Experience with GPU architectures and performance optimization

• Background in developer tools or infrastructure platforms

• Contributions to open-source AI or systems projects

Personal Attributes

• Customer-obsessed with a strong focus on developer experience

• Self-directed and comfortable operating in ambiguity

• Highly collaborative across technical and non-technical teams

• Passionate about efficient and sustainable AI systems

• Clear and structured communicator of complex technical concepts

• Strategic thinker who balances long‑term vision with execution

Compensation & Benefits

Compensation is competitive and dependent on experience, location, and level. The role may span multiple career levels and will be calibrated during the interview process.

Benefits may include equity, performance bonuses, medical, dental, and vision coverage, retirement plans, and wellness benefits.

Equal Opportunity

Our client is an equal opportunity employer and does not discriminate based on any legally protected characteristic.

AI tools may be used to support parts of the hiring process; final hiring decisions are made by humans.