Vinci4D.ai

Vinci4D.ai

Strategic Account Executive – Semiconductor Accounts

Palo Alto HQ · Vp

Sponsorship not specifiedDetected 112 days ago
SalesAccount ManagementForecastingANSYSCadenceHardware DesignResearchLeadershipCollaboration

About the role

  • As a Strategic Account Executive, you will be the primary driver of growth within our most critical semiconductor accounts.
  • You will be responsible for navigating complex organizational structures to identify key stakeholders, from individual contributors to C-suite executives, and articulating the transformative value of Vinci's Physics AI platform.
  • You will act as a "quarterback," orchestrating resources across our Forward Deployment and Engineering teams to ensure successful technical evaluations and long-term production deployments.

Responsibilities

  • Strategic Account Mapping: Build and maintain deep relationships within a small pod of "Tier 1" semiconductor accounts, identifying the specific business units where Physics AI can deliver maximum ROI.
  • Full Sales Lifecycle Management: Lead the end-to-end sales process, from initial discovery and value proposition alignment to complex contract negotiations and closing multi-million dollar deals.
  • Cross-Functional Leadership: Partner closely with the Forward Deployment Sales team to ensure Test cases and Pilot Deployments are aligned with the customer's business goals, technical requirements, and our platform capabilities.
  • Build and maintain deep relationships within a small pod of "Tier 1" semiconductor accounts, identifying the specific business units where Physics AI can deliver maximum ROI.
  • Be part of a team defining the future of AI in hardware design.
  • Own the commercial strategy for the world's most influential semiconductor companies.
  • Collaborate with world-class engineers and researchers in a fast-moving startup environment.

Requirements

  • 7+ years of experience in enterprise software sales, specifically selling into the semiconductor or electronics industry.

Nice to have

  • Background in Mechanical or Electrical Engineering.
  • AE/Sale experience at a major EDA firm (e.g., Cadence, Synopsys, Ansys) or a high-growth "AI for Engineering" startup.
  • Existing "rolodex" of senior leadership contacts at major semiconductor firms in Silicon Valley and Austin.
  • Experience navigating "Land and Expand" strategies within highly siloed engineering organizations.
  • Work at the intersection of advanced AI, real-world engineering, and customer success.

Compensation

  • Proven track record of meeting or exceeding $2M+ annual quotas and closing complex, six-to-seven-figure deals.

Benefits

  • Maintain an accurate and rigorous pipeline, providing leadership with clear visibility into account health and expansion opportunities.
  • Exceptional ability to communicate vision and value to VP and C-level executives.

Company info

  • Vinci is building a new compute layer for engineering: a physics foundation model that makes high-fidelity physics continuously accessible across the hardware development lifecycle.
  • Today, the world's most advanced semiconductors are still designed using workflows that assume physics is scarce, slow, and expert-gated. Simulation is run intermittently, often late in the process, limiting how much of the design space teams can explore and how early they can understand performance, reliability, and manufacturability.
  • Vinci changes that.
  • Our platform delivers deterministic, solver-grade physics simulation directly on native design and manufacturing geometry-at orders-of-magnitude higher throughput. In practice, this allows engineering teams to evaluate far more scenarios, surface issues earlier, and accelerate design cycles across thermal, packaging, and system-level challenges.
  • Today, the world's most advanced semiconductors are still designed using workflows that assume physics is scarce, slow, and expert-gated.
  • Simulation is run intermittently, often late in the process, limiting how much of the design space teams can explore and how early they can understand performance, reliability, and manufacturability.
  • Our platform delivers deterministic, solver-grade physics simulation directly on native design and manufacturing geometry-at orders-of-magnitude higher throughput.
  • In practice, this allows engineering teams to evaluate far more scenarios, surface issues earlier, and accelerate design cycles across thermal, packaging, and system-level challenges.
  • Vinci is already in active use within leading semiconductor organizations, with multiple pilots underway and a growing number converting into commercial engagements.
  • Teams are deploying the platform on real design programs-particularly in thermal and advanced packaging workflows-and seeing measurable impact in simulation throughput, design exploration, and cycle time.
  • This is not a future concept or research effort.
  • It is a product that has been successfully introduced into complex, production engineering environments-and is beginning to expand within those accounts
  • the product is not yet fully understood by the market
  • the buyer does not have a predefined budget or category

This listing is sourced directly from Vinci4D.ai's careers page and normalized into a canonical job model.