QpiAI is a technology company that integrates Artificial Intelligence (AI) and Quantum Computing to solve complex scientific and business problems across various industries including life sciences, energy, materials, finance, logistics, automotive, manufacturing, and sustainability. Their approach combines modeling, compute, and automation for utility-scale problem-solving. QpiAI offers enterprise-grade Gen-AI solutions such as predictive analytics, computer vision, LLMs, and AI Agents to enhance decision-making and automation. They also provide quantum-enabled solutions for optimization, simulation, and machine learning, and a full-stack quantum computing integration from hardware to software. Key products include the QpiAI Gen-1 25 Qubits Quantum System, a superconducting qubit system designed for scalability and performance. Their business model appears to be a combination of Quantum Computing as a Service (QCaaS) and product sales, targeting enterprises looking for advanced computational solutions. QpiAI has received pre-Series A funding and is recognized for its pioneering advancements in the field.
AI AgentsArtificial IntelligenceEnterprise SolutionsFull-StackGen-AIHPCQuantum ComputingSuperconducting Qubitsqpiai.tech
QpiAI
QpiAI is a technology company that integrates Artificial Intelligence (AI) and Quantum Computing to solve complex scientific and business problems across various industries including life sciences, energy, materials, finance, logistics, automotive, manufacturing, and sustainability. Their approach combines modeling, compute, and automation for utility-scale problem-solving. QpiAI offers enterprise-grade Gen-AI solutions such as predictive analytics, computer vision, LLMs, and AI Agents to enhance decision-making and automation. They also provide quantum-enabled solutions for optimization, simulation, and machine learning, and a full-stack quantum computing integration from hardware to software. Key products include the QpiAI Gen-1 25 Qubits Quantum System, a superconducting qubit system designed for scalability and performance. Their business model appears to be a combination of Quantum Computing as a Service (QCaaS) and product sales, targeting enterprises looking for advanced computational solutions. QpiAI has received pre-Series A funding and is recognized for its pioneering advancements in the field.
AI AgentsArtificial IntelligenceEnterprise SolutionsFull-StackGen-AIHPCQuantum ComputingSuperconducting Qubitsqpiai.tech
HQBengaluru, IN
Team Size135
Open Jobs30
Total Funding$39M
Latest Fundraise8 months ago
Join the Team
Quantum Solutions Sales Manager (Matter)
On-SiteBengaluru, Karnataka, IN
On-Site • Bengaluru, Karnataka, IN
About QpiAI
QpiAI is one of the fastest growing startups in quantum computing and enterprise AI, pioneering solutions that combine quantum-inspired algorithms with advanced artificial intelligence to solve complex business challenges. With operational 8-qubit and 25-qubit quantum systems, we’re at the forefront of practical quantum computing applications. Backed by the National Quantum Mission (NQM) and Series A funded, QpiAI is scaling rapidly to serve global enterprises.
Our comprehensive product portfolio spans quantum-inspired solutions, QpiAI-Pharma for pharmaceutical discovery, QpiAI-Logistics for optimization challenges, and QpiAI-Mat for materials science, alongside cutting-edge AI platforms including AgentHive, our agentic AI platform for building and orchestrating intelligent AI agents, and QpiAI Pro, our professional-grade AI development and MLOps platform for enterprise data science teams.
Headquartered in Bangalore with offices in the United States and Finland, QpiAI combines world-class quantum computing expertise with practical AI engineering to deliver transformational value across industries. We’re building the future where quantum computing and AI converge to unlock unprecedented capabilities for our customers.
Role Overview
We are searching for an accomplished Quantum Solutions Sales Manager (Matter) to drive revenue by selling QpiAI-Matter, our quantum-inspired AI platform for materials discovery and development, serving advanced materials, chemicals, energy, and manufacturing sectors. This quota-carrying post requires prior success in handling complex, technical sales cycles within R&D-intensive industries. The role involves identifying opportunities with materials companies, chemical manufacturers, energy firms, and research institutions, cultivating relationships with senior stakeholders and R&D leaders, and securing deals that accelerate innovation and reduce time-to-market using quantum-enabled solutions.
Key Responsibilities
Assume responsibility for meeting and exceeding quarterly and annual sales targets for QpiAI-Mat solution sales.
Required Qualifications
Bachelor’s degree in Engineering (Materials Science, Chemical, Mechanical, Physics, or a related technical field).
5–7 years of demonstrated experience in selling AI/ML or computational solutions to materials, chemicals, or advanced manufacturing firms.
Consistent achievement of sales targets in quota-carrying roles within materials-intensive sectors.
International sales experience spanning several regions (North America, Europe, APAC, or Middle East).
Preferred Qualifications
MBA from a reputed institution.
Educational background in materials science, chemistry, physics, or computational materials engineering.
Understanding of quantum computing applications for materials discovery and molecular simulation.
Experience applying AI/ML in materials research, such as DFT calculations, molecular dynamics, or structure-property prediction.
History of selling to leading materials companies, chemical manufacturers, or semiconductor firms.
Knowledge of advanced materials applications, including batteries, catalysts, polymers, composites, and semiconductors.
Experience with sales cycles exceeding $750,000 in annual contract value within materials or chemicals sectors.
What We Offer
Competitive base salary with an uncapped commission structure.
Opportunity to work with state-of-the-art quantum computing technology.
High-growth startup environment with ample opportunities for career advancement.
Collaborative and innovation-driven organizational culture.
Exposure to global enterprise customers and emerging technology markets.
Chance to work alongside world-class quantum computing experts.
Teeming tracks opportunities at over 24,000 AI startups, then works with you to find (and land) the one you'll love.
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Seek out, engage, and close new business opportunities globally across advanced materials, chemicals, semiconductors, energy, and aerospace sectors.
Target critical decision-makers including Chief Technology Officers, VPs of R&D, Heads of Materials Science, and innovation leaders.
Craft persuasive value propositions that illustrate how quantum solutions can accelerate materials discovery, predict material properties, and optimize formulations.
Develop a clear understanding of materials development workflows, encompassing computational modelling, property prediction, synthesis optimization, and performance testing.
Collaborate with quantum chemists and materials scientists to deliver technical demonstrations and proof-of-concept initiatives.
Manage multifaceted sales cycles involving various stakeholders from R&D, engineering, IT, and procurement teams.
Ensure accurate sales forecasting and pipeline tracking using CRM tools.
Represent QpiAI at global materials science conferences, technical symposiums, and customer meetings.
Deliver market intelligence regarding trends, emerging applications, and the competitive landscape in the materials industry.
In-depth understanding of materials development processes, computational materials science, and R&D workflows.
Experience selling to materials R&D organizations, with insight into innovation cycles in the materials industry.
Strong consultative selling skills to address intricate scientific and engineering problems.
Excellent communication, presentation, and negotiation skills for both technical and business stakeholders.
Willingness to travel extensively (30–40%).
Familiarity with computational tools in materials science, such as VASP, Gaussian, LAMMPS, and materials databases.
