Sr. Manager​/Director, Business Development - AI Datacenter

Sr. Manager/Director, Business Development - AI Datacenter

Key responsibilities in your new role:

• Strategic Influence:
  Act as the primary bridge between market demands and internal execution. You must expertly influence key stakeholders across Product Lines (PLs), Business Lines (BLs), and at the Division or Corporate level to secure R&D prioritization, capital allocation, and cross-functional alignment for AI-specific roadmaps
• Market Analysis & Segmentation (TAM/SAM):
  Drive comprehensive Total Addressable Market (TAM) and Serviceable Available Market (SAM) analysis for new power solutions within the AI/HPC space. Use data-driven insights to prioritize investment areas and uncover untapped market segments for high-margin growth
• Customer centric Innovation & Investment Strategy:
  Monitor emerging AI hardware trends and competitor activities to generate and champion differentiated semiconductor product investment ideas. Use market feedback and TAM/SAM analysis to build robust business cases for R&D spending on next-generation technologies (e.g., GaN/SiC/Si FETs, eFuses, highly integrated digital controllers, IBC modules, Drivers, POLs etc.) that capture maximum ROI
• Strategic Growth & Design Wins:
  Lead the identification and closing of key strategic opportunities to grow the design-win funnel for power semiconductor products
• Technical-Business Synthesis:
  Collaborate with the Architects to translate complex technical specs into value propositions for customers
• Stakeholder Engagement:
  Build and maintain high-touch relationships with key decision-makers at hyperscalers OEMs/ODMs and data center operators globally
• Ecosystem Alliances:
  Build strategic alliances with technology providers & integrators to accelerate the adoption of our IBC & Hot swap products portfolio

Qualifications and skills to help you succeed:

• BS in Electrical Engineering or related field; MBA is required to bridge the technical-commercial gap
• 5+ years experience in business development or sales within the semiconductor or data center infrastructure business
• Customer Presence & Mindset:
  • Proven ability to establish a strong physical presence at customer sites, conducting deep‑dive technical/commercial reviews that build long‑term trust and partnership
  • Ability to command a room, whether presenting to internal Division VPs or external C-level executives at major cloud providers
  • A mindset focused on solving the customer’s ultimate pain points rather than just selling silicon
• Data-Driven Influence Skillset:
  • Proven ability to use data (market share trends, unit economics, yield impacts, and competitive benchmarking) to influence internal leadership at the Business Line and Division levels
  • Mastery in developing NPV/IRR models and sensitivity analyses to build consensus among engineering and finance stakeholders for new product investments
  • Ability to neutralize internal "gut-feel" opinions with verifiable market data, customer pipeline metrics, and rigorous TAM/SAM forecasting
• Go-to-Market (GTM) Skillset:
  • Proven ability to develop and execute global GTM plans, defining value propositions and launch sequencing
  • Expertise in creating and delivering compelling TCO/ROI-based sales pitches
  • Skill in segmenting complex markets (AI training vs. inference) to achieve dominant market share
  • Domain Expertise:
    Deep understanding of power distribution architectures (48V to 800V HVDC)
  • Proven Success:
    Demonstrated history of closing high-value, complex opportunities with major global players (e.g., CSPs Worldwide)

• Strong familiarity with AI accelerators and their specific power requirements
• Established network within the Open Compute Project (OCP) or similar industry standard-setting bodies
• Entrepreneurial mindset with the ability to operate autonomously through the ambiguity of a rapidly evolving technology super cycle

Infineon Technologies Americas Corp., is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender identity, national origin, ancestry, citizenship, age, physical or mental…