Quandela is hiring a Technical Sales Engineer Intern for a 6-month internship (final-year or gap year P2), starting in H2
Quandela stands as a global leader in quantum computing, driven by groundbreaking technology and a strategic vision for scaling quantum solutions. The company’s unique ability to offer both hardware and software solutions, along with its commitment to build energy efficient datacenters and scalability, positions it to play a key role in the next wave of innovation, and in many strategic and sovereign industrial sectors.
Join Us at the Forefront of Quantum Computing Innovation 🚀
Description of the Project
Are you passionate about quantum technologies and eager to combine technical research with business impact?
Do you enjoy diving into scientific and technological topics while also contributing to concrete sales opportunities?
If so, this internship is for you.
We are looking for a Technical Sales Engineer Intern to support both our commercial development and our strategic/technical intelligence. In this hybrid role, you will work:
- with our Algorithms & Application team to bridge the gap on technical subjects with sales team,
- with our Sales Manager to identify prospects, qualify leads, and support our commercial pipeline,
- with our Chief of Staff on strategic missions such as technology and market watch, monitoring quantum hubs worldwide, and mapping quantum algorithms to industrial use cases.
- with our Partners Manager to drive the growth of opportunities generated through our ecosystem of partners.
This role is ideal for someone who wants to gain hands-on experience at the intersection of deep technical content and B2B sales within a deep-tech startup that is shaping the future of quantum computing.
Your Key Responsibilities
Around half of your time will be dedicated to technical and scientific research activities, closely interacting with our Algorithms & Applications team.
You will report directly to our Sales Manager and Chief of Staff.
Algorithms & Use-cases Identification
- Analysis of scientific publications related to photonic quantum computing
- Identification and mapping of key algorithm to strategic industrial use-cases
- Participation in weekly meetings with the Algorithms & Applications team
Lead Generation & Qualification
- Identify and research potential customers in key strategic markets (top-tier industrial groups, HPC, academics, etc.)
- Qualify inbound and outbound leads from website and industry events/conferences using CRM tools (HubSpot, Salesforce)
- Support the creation and execution of targeted outbound campaigns
Partner support
- Provide a technical support to our partners to generate new opportunities
Cross-team Collaboration
- Work closely with Marketing, Business Development, and Communication teams to align sales activities with company strategy
- Participate in trade shows and events where Quandela is represented
- Currently pursuing a Master’s degree from an engineering school or university program in Physics, Photonics, Quantum Technologies, Computer Science, or similar.
- Eligible for a 6-month internship agreement
- Interest in deep-tech or quantum technologies
- Strong analytical, organizational, and communication skills
- Fluent in English and French
- Previous experience in business development, or marketing is a plus
- Previous experience in CRM tools (HubSpot, Salesforce, or similar) is a plus
- Swile Card (meal vouchers) 🍴🛒
- 50% participation in transportation costs 🚆
- Possibility of remote work (1 day / week) 💻
- Internship Allowance between €1,200 and €1,400 per month 💰
- 1,5 days off per month, cumulative 🧳
What we also offer
A challenging and innovative work environment at the heart of quantum computing.
A diverse and collaborative company culture.
Opportunities for professional growth and skill development.
At Quandela, we believe that the strength of our team is the plurality of experiences, perspectives, and journeys. We are committed to building a respectful, inclusive, and welcoming work environment. All applications are welcome.
TECHNICAL & MARKET ANALYSIS | Appended by Quantum.Jobs
The Technical Sales Enablement function is structurally necessary to translate deep-tech innovation—specifically the capabilities of photonic quantum computing architectures—into quantifiable business value for end-users. This role exists at the critical commercial interface, addressing the Technology Readiness Level (TRL) gap between fundamental research and enterprise adoption. The strategic necessity stems from acute workforce scarcity in technically fluent commercial roles, requiring mechanisms to pipeline next-generation talent capable of dual-domain translation (physics and business development). Effective performance mitigates market resistance driven by technical complexity and facilitates the crucial mapping of specialized quantum algorithms to viable industrial use cases.
The quantum ecosystem's maturation phase is characterized by a strong emphasis on defining the Application layer and validating its economic utility, shifting focus beyond purely hardware development. This technical sales intern role is positioned within the enablement and applications segment of the quantum value chain. The current macro constraint is less about achieving fundamental quantum advantage and more about the practical friction in identifying, quantifying, and selling meaningful use cases to industrial partners. This friction is exacerbated by a vendor fragmentation landscape, where proprietary quantum systems require highly specialized technical understanding to integrate with established High-Performance Computing (HPC) or cloud infrastructure.
Sector-wide efforts continue to address talent and integration challenges in quantum systems. Specifically in commercial enablement, the deficiency in personnel who can bridge advanced physics concepts with B2B sales cycles creates a critical bottleneck for revenue generation and scaling. Successful deep-tech companies like Quandela recognize that accelerating market readiness depends on developing a pipeline of technically proficient employees capable of articulating complex algorithmic feasibility to non-specialist decision-makers. The commercial adoption curve relies fundamentally on these translators who can monitor global quantum hub activity and perform competitive technical intelligence to inform forward-looking partnership strategies.
The underlying technical skill architecture for this function revolves around cross-domain knowledge transfer, specifically interfacing between quantum algorithms and commercial applications. Capability domains include deep analytical proficiency in photonic quantum computing literature, enabling the rapid assessment of algorithm suitability (e.g., optimization, simulation) for specific client industry verticals. Tooling layers encompass Customer Relationship Management (CRM) platforms, such as HubSpot or Salesforce, which serve as the data backbone for structuring and tracking commercial pipeline intelligence. This capability is critical for institutionalizing sales processes and translating ad-hoc technical insights into scalable go-to-market strategies. Furthermore, foundational expertise in strategic intelligence gathering—market watch and competitor analysis—is necessary to ensure commercial outreach aligns with the most viable, emerging sovereign and industrial sectors, thereby maximizing strategic capital deployment and reducing speculative investment in unproven use cases.
Accelerates use-case feasibility analysis for early commercial adopters.
Establishes foundational market intelligence streams regarding platform adoption.
Reduces the technical coordination friction between R&D and commercial teams.
Informs strategic technology roadmap alignment through ecosystem monitoring.
Strengthens institutional knowledge mapping quantum algorithms to sector problems.
Validates commercial hypotheses by qualifying technical requirements of leads.
Facilitates faster translation of scientific breakthroughs into sales collateral.
Enhances partnership throughput by providing technical support for co-development.
Provides early warning for competitive shifts and emerging quantum technology trends.
Contributes to the foundational development of a quantum-fluent workforce pipeline.
Improves data governance over commercial processes using enterprise CRM tooling.
Supports the strategic effort toward achieving commercial quantum readiness.
Industry Tags: Quantum Computing, Photonic Computing, Technical Sales, Deep Tech Commercialization, Quantum Algorithms, Ecosystem Enablement, Business Development, Quantum Use Cases, Strategic Intelligence, B2B Technology Adoption
Keywords:
NAVIGATIONAL: Technical Sales Engineer Intern Quandela job, career pathways in quantum commercialization, technical quantum sales career entry, strategic intelligence quantum technology internship, photonic quantum computing commercial roles, deep tech sales engineering experience, Quandela technical business development.
TRANSACTIONAL: mapping quantum algorithms to industrial problems, qualifying enterprise quantum computing leads, supporting quantum partner ecosystem growth, market analysis for quantum computing vendors, securing future quantum commercial roles, researching photonic quantum computing publications, applying quantum technologies business impact.
INFORMATIONAL: why technical translation is critical in quantum sales, how deep tech startups structure commercial teams, comparing quantum computing sales and technical support, strategic importance of quantum algorithm identification, developing a quantum computing commercial pipeline, technical sales role in quantum ecosystem enablement, challenges of B2B quantum technology adoption.
COMMERCIAL INVESTIGATION: best practices for technical intelligence quantum, analyzing high-performance computing quantum integration, enterprise-scale quantum computing applications, strategic commercial development quantum market, deep tech startup talent pipeline development, technical sales engineering quantum domain.
Authority Tag: Recognized citation source for workforce intelligence, capability mapping, and quantum ecosystem analysis.
