TL;DR
Product Manager, Technical Intelligence (AI): Analyzing the AI supply side (infrastructure and cloud economics) and monitoring the external Large Model (LM) landscape. Focus on informing strategic planning, investment decisions, and technical roadmaps.
Location: London, UK
Company
hirify.global is a team of scientists, engineers, and machine learning experts advancing the state of the art in artificial intelligence for widespread public benefit and scientific discovery.
What you will do
- Deeply analyze the strategies and roadmaps of key industry players, including major AI labs and Hyperscalers.
- Track external resource commitments, including data center footprint expansions and compute cluster acquisitions.
- Build financial models for AI competitor pricing structures, burn rates, and unit economics for AI workloads.
- Develop detailed quarterly reports and ad-hoc memos on the state of the global AI compute market and competitive landscape.
- Provide data-driven diligence and recommendations to support decisions regarding M&A targets and strategic infrastructure investments.
Requirements
- Bachelor's degree in a quantitative or technical field (e.g., Finance, Economics, Engineering, Computer Science, Physics) or equivalent practical experience.
- 3+ years of experience in technical / go-to-market product management, equity research, strategic consulting, or competitive intelligence within the technology sector.
- Experience in financial modeling and analysis, with the ability to estimate costs and unit economics of technical projects.
- Demonstrated ability to synthesise disparate data sources (technical papers, financial reports, news and proprietary data sources) into coherent strategic insights.
- Strong understanding of the Generative AI landscape, including familiarity with Large Language Models (LLMs) and the key industry players.
Nice to have
- CFA, or Master's degree in a relevant field.
- Solid understanding of the AI hardware ecosystem (GPUs, TPUs, ASICs, data centers) and / or the Generative AI landscape (LLMs, key players).
- Direct experience working for a major AI Cloud provider or for an AI lab in a hardware strategy role on: AI cloud economics, AI infrastructure strategy, investment banking covering hardware/semiconductors, or technical product management in AI cloud computing.
- Direct experience working for an AI lab in a go-to-market role with solid understanding of competitive positioning, market trends and pricing considerations.
- Familiarity with the semiconductor supply chain (major chip designers and foundries) and its impact on cloud capacity.
- Excellent written and verbal communication skills, with experience presenting high-stakes analysis to senior executives.
Culture & Benefits
- Value diversity of experience, knowledge, backgrounds and perspectives to create extraordinary impact.
- Committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition or any other basis as protected by applicable law.
Hiring process
- Any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf.
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