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WEKA

Senior Competitive & Market Intelligence Manager

RemoteUnited States only
Published
Role
Marketing
Experience
Senior
Employment
Full-time
Company size
Startup
Salary not disclosed
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Open to US only. Set where you work from to check your eligibility.

No BS summary

Senior builder to create and scale competitive and market intelligence program. 6+ years in CI/MI or related, strong technical aptitude in AI infrastructure, must be in North America. Hands-on, individual contributor role.

Required skills

AI/ML infrastructurecloud computingdata platformsstorage technologiesmemory technologies

What you'll do

  • Build the Intelligence Engine: Design and scale WEKA's competitive and market intelligence program, including sources, tooling, workflows, taxonomy, operating cadence, governance, distribution, and feedback loops.
  • Own Competitive Intelligence: Develop deep intelligence on priority competitors across products, architecture, performance, positioning, customers, partnerships, business models, and go-to-market strategy.
  • Monitor Competitive Pricing & Packaging: Track competitor pricing, packaging, licensing, consumption models, and commercial changes.
  • Drive Market Intelligence: Track the forces reshaping AI infrastructure, including technology shifts, market structure, customer requirements, emerging categories and competitors, cloud and neocloud dynamics, ecosystem moves, business models, and buying patterns.
  • Turn Intelligence Into Strategy: Synthesize competitive, market, customer, and field signals into clear points of view and actionable recommendations.

What they require

  • 6+ years of experience in competitive intelligence, market intelligence, product marketing, product strategy, management consulting, industry research, or a closely related role in enterprise technology.
  • Demonstrated experience personally building or materially scaling a competitive or market intelligence program.
  • Strong technical aptitude and the ability to independently understand enterprise infrastructure architectures, product capabilities, performance claims, integrations, and technical differentiation.
  • Working knowledge of AI/ML infrastructure, accelerated computing, cloud computing, data platforms, storage and memory technologies, or adjacent enterprise infrastructure technologies.
  • Located in North America with the ability to travel up to 25%.

suite of machine learning software written in Java

AI InfrastructureStartup
Salary not disclosed