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d-Matrix

Delivers memory-integrated AI compute platforms

Vice President - Investor Relations

Corporate Finance & FP&AConfirmed live in the last 24 hours
Full-time$230k - $320k /yr

About the Job

Requirements

  • A bachelor's degree in Finance, Economics, Engineering, Computer Science, or a related field.
  • At least 8 years of progressive experience in investor relations, equity research, buy-side investing, investment banking, or corporate and strategic finance, focused on AI hardware, semiconductors, or AI infrastructure software.
  • Working knowledge of the AI ecosystem, including training versus inference, GPUs, custom silicon, high bandwidth memory, networking, and hyperscaler spending.
  • Established relationships with growth, crossover, and public-market investors, sell-side analysts, and investment banks.
  • Working knowledge of Regulation FD, SEC disclosure requirements, the IPO process, and roadshows.
  • Financial modeling, valuation, writing, and presentation skills.
  • Experience building a function and team from scratch, with judgment, independence, and integrity to handle material non-public information and work across Finance, Technology, and Business.
  • Willingness to travel for investor meetings, conferences, and roadshows.

Responsibilities

  • Define and execute a multi-year investor relations strategy aligned with corporate strategy, financing milestones, and the path to becoming a public company.
  • Own the company's equity story, including the shift from training to inference, the memory wall, comparisons of Memory Centric Compute and 3D In-Memory Compute with GPUs, high-bandwidth-memory-based systems, and custom ASICs, and the Corsair-to-Raptor roadmap.
  • Serve as the primary contact for existing shareholders and prospective venture, growth, crossover, strategic, sovereign, and public-market investors, and build the investor pipeline and customer relationship management system.
  • Partner with the CEO, CFO, and Corporate Development on capital raises, including investor outreach, data room management, diligence responses, and coordination with banks and placement agents.
  • Author investor presentations, shareholder updates, executive scripts, and question-and-answer frameworks that translate technical milestones into clear investor messages, and maintain a single source of truth for key metrics and key performance indicators.
  • Build relationships with sell-side analysts and industry researchers, track public comparables and investor sentiment, and brief leadership and the Board on shareholder composition, market feedback, and peer activity.
  • Build investor relations infrastructure for a future initial public offering, including disclosure policy, Regulation FD protocols, quiet-period guidelines, earnings scripts, mock earnings cycles, and the investor relations website, in partnership with Finance, Legal, and outside counsel.
  • Manage disclosure and confidentiality, align investor messaging with Marketing, Communications, Sales, and Legal, prepare executives for investor meetings and conferences, and hire and manage investor relations team members and external vendors.

Desired Qualifications

  • Deep technical fluency in AI inference and memory technology, with the ability to explain memory bandwidth, energy per token, and 3D stacking credibly to a financial audience.
  • Strong understanding of semiconductor business models, including fabless economics, gross-margin drivers, supply and capacity, backlog, and customer concentration.
  • Experience in a private financing round or initial public offering.
  • A Master of Business Administration or Chartered Financial Analyst designation.
  • Proficiency with investor customer relationship management and market data platforms such as Bloomberg, FactSet, or Capital IQ.

About the Company

d-Matrix

Delivers memory-integrated AI compute platforms

d-Matrix provides scalable AI compute platforms for large datacenters with a focus on energy efficiency. Its core offering, the digital in-memory compute (DIMC) engine, places compute directly in programmable memory and uses a fabric of low-power, modular chiplets plus software to optimize AI inference. It differentiates itself by combining memory-integrated computation with a modular, chiplet-based design that reduces power use and data movement for high-volume workloads. The goal is to help large datacenters run AI workloads more efficiently at scale through customizable, energy-efficient compute solutions.

Company size
201-500
Company stage
Series C
Total funding
$429M
Headquarters
Santa Clara, CA
Founded
2019

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