Full-Time

Product Manager

System Machine Learning

Updated on 6/12/2024

SambaNova Systems

SambaNova Systems

51-200 employees

Enterprise-ready AI and deep learning platform

AI & Machine Learning
Financial Services
Government & Public Sector

Compensation Overview

$150k - $215kAnnually

+ Equity

Senior, Expert

Palo Alto, CA, USA

Required Skills
Sales
Communications
Management
Marketing
Requirements
  • 10+ years of relevant work experience in AI/ML technology development, product management at a technology company
  • 3+ years of system hardware development or system architecture design experience
  • 5+ years of product management or technical product management experience
  • Masters degree or PhD in Computer Science or related field
  • Strong understanding of LLMs, particularly in the context of performance optimization and large-scale deployment
  • Expertise in system architecture and hardware design, with a deep understanding of the interplay between hardware capabilities and ML model requirements
  • Solid understanding in optimizing machine learning models for GPU or other accelerator based products
  • Proven track record of successfully productizing ML research breakthroughs and driving innovation in ML applications
  • Proven track record of success in product management roles, with experience leading the development and launch of AI-driven products or services
  • Strategic mindset with ability to think critically, anticipate market trends, and develop innovative product strategies
  • Strong leadership and interpersonal skills, with the ability to inspire and influence cross-functional teams to achieve shared goals
  • Passion for understanding customer needs and delivering exceptional user experiences, with a customer-centric approach to product development
  • Excellent verbal and written communication skills, with the ability to grasp complex technical concepts and articulate it to diverse audiences
  • Self-starter, with a hands-on demeanor in a multifaceted fast-paced environment
Responsibilities
  • Develop and articulate a compelling ML system product roadmap and strategy, come up with clear requirements and collaborate with cross engineering teams
  • Lead the productization of prominent research breakthroughs in ML, focusing on accelerated inference for LLMs as a leading example
  • Collaborate with ML and system development teams to identify and optimize the interplay between ML models, apps/solutions requirements, and system architecture, maximizing performance and efficiency
  • Drive the development of ML system product to unlock unprecedented ML potential by leveraging our existing technology stack
  • Lead the development of system and hardware enhancements to address current challenges in ML. Build differentiators into future products. Anticipate future hardware trends and ML advancements, aligning them with our technology stack roadmap for a competitive present and prepare for what could be coming next
  • Lead cross-functional teams in design, development, and delivery of innovative new products and solutions, ensuring alignment across teams and with respect to customer requirements
  • Collaborate closely with internal stakeholders across engineering, marketing, sales, and product to align product development efforts and drive successful product launches
  • Engage with customer to gather feedback, understand pain points, and prioritize product enhancements, ensuring continuous improvement and customer satisfaction

SambaNova Systems is a leader in the AI technology sector, specializing in providing a robust enterprise-ready AI platform that includes generative AI, computer vision, and model ownership technologies. The company focuses on accelerating AI and deep learning capabilities for a diverse range of industries, making it an excellent environment for those looking to push the boundaries in advanced AI applications. This, combined with a service model that offers quick deployment of state-of-the-art AI solutions, makes it a highly competitive and cutting-edge place to work.

Company Stage

Series D

Total Funding

$1.1B

Headquarters

Palo Alto, California

Founded

2017

Growth & Insights
Headcount

6 month growth

1%

1 year growth

1%

2 year growth

0%

Benefits

Flexible PTO in US

Parental Leave

Benefits (medical, dental and vision)

Flexible Spending Accounts

401k/Pensions

Gym Access

Flexible Working Hours