Назад
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3 дня назад

Sr. Staff Manager, Market Intelligence (AI)

149 610 - 224 100$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Sr. Staff Manager, Market Intelligence (AI): Building and owning TAM/SAM/SOM models, multi-year forecasts, and living market intelligence infrastructure for semiconductor, data center, and AI markets with an accent on market sizing, scenario analysis, and data-science rigor. Focus on modeling emerging markets from incomplete data, applying machine learning and modern AI tooling, and translating complex signals into executive decisions.

Location: Santa Clara, California, United States. The role is based at the listed location and may require eligibility to access U.S. export-controlled technology.

Base pay: $149,610–$224,100 per year, plus eligibility for bonus and equity plans.

Company

hirify.global develops semiconductor solutions that support enterprise, cloud, AI, carrier, and broader data infrastructure.

What you will do

  • Build and own bottom-up and top-down TAM, SAM, SOM, market, signal, and scenario models across data center, AI infrastructure, custom silicon, interconnect, optical, networking, and storage markets.
  • Develop multi-year market forecasts, demand models, sensitivity analyses, and base, upside, and downside scenarios.
  • Apply statistical modeling, regression, machine learning, LLMs, agents, and automation to improve forecasts and analyze complex market datasets.
  • Build reproducible models, pipelines, dashboards, and data infrastructure using Python, SQL, and Excel.
  • Source and govern internal, external, industry, equity, customer, and alternative datasets as a reliable market-data foundation.
  • Translate market intelligence into recommendations for Finance, Sales, Investor Relations, business units, senior leadership, the board, and executive stakeholders.

Requirements

  • Bachelor’s degree in economics, statistics, data science, engineering, finance, or a related quantitative discipline; an MS or MBA is strongly preferred.
  • 10+ years of experience in market modeling, TAM and market sizing, demand forecasting, equity research, or quantitative market intelligence.
  • Hands-on experience building TAM/SAM and market-sizing models from the ground up, including emerging or first-to-market markets with limited data.
  • Strong finance-oriented analytical and market-modeling skills, including the ability to build and defend models from incomplete data.
  • Demonstrated application of AI and machine-learning techniques to modeling, research, and analysis.
  • Applicants must be eligible to access U.S. export-controlled information; export license review may apply to applicants who are not U.S. citizens, lawful permanent residents, or protected individuals.

Nice to have

  • Experience in market intelligence, corporate strategy, or an industry-analyst function.
  • Deep technical and commercial experience in semiconductor, data center, cloud, or AI-infrastructure markets.
  • Experience partnering with Finance or FP&A on planning, outlook, and market models.
  • Experience presenting analysis directly to C-suite and board audiences.
  • Exceptional executive communication, storytelling, collaboration, and problem-solving skills.

Culture & Benefits

  • Cross-functional work with Finance, Sales, Investor Relations, marketing, business units, and executive leadership.
  • Bonus and equity plans, including a new-hire equity grant and annual equity refreshers.
  • Employee stock purchase plan with a two-year lookback.
  • Family support programs, mental health resources, and recognition and service awards.
  • Reasonable accommodations are available during the selection process.

Hiring process

  • Interviews assess individual experience, thought process, and communication skills in real time.
  • AI tools, transcription apps, automated answer generators, and automated note-taking bots are not permitted during interviews.

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