Principal Product Manager - Data & AI applications (RAG/ Agents) at CoreWeave
Bellevue, Washington, USA -
Full Time


Start Date

Immediate

Expiry Date

15 Nov, 25

Salary

303000.0

Posted On

16 Aug, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Cloud, Technology Solutions

Industry

Marketing/Advertising/Sales

Description

CoreWeave is the AI Hyperscaler™, delivering a cloud platform of cutting edge services powering the next wave of AI. Our technology provides enterprises and leading AI labs with the most performant, efficient and resilient solutions for accelerated computing. Since 2017, CoreWeave has operated a growing footprint of data centers covering every region of the US and across Europe. CoreWeave was ranked as one of the TIME100 most influential companies of 2024.
As the leader in the industry, we thrive in an environment where adaptability and resilience are key. Our culture offers career-defining opportunities for those who excel amid change and challenge. If you’re someone who thrives in a dynamic environment, enjoys solving complex problems, and is eager to make a significant impact, CoreWeave is the place for you. Join us, and be part of a team solving some of the most exciting challenges in the industry.
CoreWeave powers the creation and delivery of the intelligence that drives innovation.

DEFINE PRODUCT PORTFOLIO: MANAGE AMBIGUITY AND COMPLEXITY OF A FAST EVOLVING AI LANDSCAPE TO DEFINE NEW PRODUCT INVESTMENTS AND DEVELOP A PORTFOLIO OF CAPABILITIES THAT DELIVER LONG-TERM DIFFERENTIATION AND CUSTOMER VALUE.

  • Market Analysis: Conduct in-depth market research and competitive analysis to identify industry landscape, best practices, emerging trends, and opportunities for differentiation.
  • Pricing Strategy & Execution: Develop and implement pricing strategies considering market trends, competitive landscape, customer segmentation, and product value.
  • Performance Monitoring: Define key metrics and establish robust reporting to monitor adoption, identify areas for improvement, and inform future decisions.
  • Go-to-Market Strategy: Partner with industry partners, open source projects, marketing, and sales teams to develop and execute effective go-to-market strategies, including positioning, messaging, and competitive differentiation. Represent CoreWeave in external conferences and industry events.

How To Apply:

Incase you would like to apply to this job directly from the source, please click here

Responsibilities

WHAT YOU’LL DO

We are looking for a Principal Product Manager for AI Platform services to lead the charter for Data and AI applications at CoreWeave. In this pivotal role, you will work closely with our top customers across AI Labs, startups, and enterprises to understand their data and AI applications needs for AI workloads. You will define the product strategy and build product capabilities that accelerate data processing for AI workflows and the development of RAG and agentic applications. You’ll have a direct impact on shaping the future of AI infrastructure and services.

ABOUT THE ROLE:

The ideal candidate is passionate about AI and cloud technologies, with a deep understanding of cloud infrastructure, foundation model architectures, RAG/ Agentic AI workflows, cloud-native technologies, and the competitive landscape. You will leverage market and customer insights as well as technical expertise to define the product vision, roadmap, and go-to-market strategy, ensuring that CoreWeave builds on its market-segment position as the leading AI Hyperscaler.

KEY RESPONSIBILITIES

  • Product strategy: Define and evolve CoreWeave’s strategic software offerings for data and AI applications, identify new opportunities, and optimize existing approaches to accelerate development and deployment of RAG/ Agentic AI applications
  • Accelerate data processing and AI application deployments: Drive the charter for platform capabilities and services that support data processing for AI workflows such as pre-training, post-training, and RL and the integration of knowledge bases, tools, memory, guardrails, and agents for RAG/ multi-agent deployments. Solve novel problems related to scaling AI model and application deployment on specialized hardware.
  • Cross-functional Collaboration: Partner with engineering, sales, finance, and marketing teams to ensure alignment on adoption and monetization goals, effective product launches, and seamless go-to-market execution.
  • Customer success: Work closely with customers and Go-to-market teams to ensure successful outcomes from onboarding to POC to scale.
Loading...