Materials Solutions Scientist (Presales and Planning) (m/f/d)
Materials Solutions Scientist (Presales and Planning) (m/f/d)
Posted on :
20-08-2025
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1 Vacancy
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Job Description
Your Mission
We are looking for a Materials Solutions Scientist for a presales and planning context in our growing commercial team. Youll be the technical face of Quantistry in customer acquisition working directly with R&D leaders innovation teams and commercial executives to scope solutions run demos and craft proposals that solve high-stakes industrial materials challenges.
This is a customer-facing role where your mix of scientific depth and communication flair will make complex technologies accessible and compelling. Youll partner closely with Sales and Delivery teams as well as with Science and Technology to ensure customer needs are understood solutions are well-scoped and early projects lead to satisfied long-term customers.
This is a customer-facing role where your mix of scientific depth and communication flair will make complex technologies accessible and compelling. Youll partner closely with Sales and Delivery teams as well as with Science and Technology to ensure customer needs are understood solutions are well-scoped and early projects lead to satisfied long-term customers.
- Engage with enterprise customers in discovery workshops understanding their material R&D challenges and mapping them to Quantistry solutions.
- Deliver technical presentations product demonstrations and proof-of-concepts that showcase our platforms value.
- Translate complex requirements into clear project scopes and proposals working with scientific and delivery teams to shape winning solutions.
- Support sales cycles from first conversation through to signed contracts and smooth handover to delivery.
- Serve as a trusted advisor to customers building long-term relationships by solving problems and communicating with clarity and credibility.
- Capture learnings from engagements to help refine presales playbooks demo workflows and reusable proposal materials.
Your Talents
- Advanced degree (MSc or PhD preferred) in Computational Chemistry (ideally solid-state) or Computational Material Sciences or comparable field
- Solid technical grounding in computational methods simulations or advanced materials development.
- 23 years of experience in customer-facing technical roles (e.g. presales engineering technical consulting solution architecting or similar).
- Excellent communication skills: able to explain complex concepts clearly to both technical and non-technical stakeholders.
- Strong problem-solving mindset and a proactive consultative approach with customers.
- Comfort working in a startup environment i.e. adaptable resourceful and energized by working at pace with ambitious goals.
- Business Fluent in English both written and spoken German is a plus.
- Based in Berlin (ideal) or remote within Europe with willingness to travel occasionally (10%).
Your Package
- Full-time or part-time work - compatibility of family and career is important to us.
- Flexible working hours and home office days
- 30 days of vacation per year
- Personal development budget of 1000 EUR per year
- Top-notch coffee at our favorite coffee shop next door for only 1 EUR
- Free fruit and a large selection of drinks (including soda juices Mate)
- Work equipment of your choice
- A competitive salary based on your experiences
Work with a world-class technology platform and alongside globally recognized customers
Shape how enterprises adopt a new category: Materials Intelligence
A dynamic international startup culture where your impact is immediate and visible
Competitive compensation with upside in a fast-scaling company.
About us
Chemical simulations this might sound abstract and academic buts its much closer to everyday life than you think. Whether its a smartphone toothpaste or the oil on a bicycle chain: all these products contain an incredible amount of chemical know-how. And in all these cases the development process started in a lab at some point.
During hundreds of development cycles researchers have worked their way toward the optimal properties of a material or a chemical agent. Until the ideal conductivity of a semiconductor is achieved or the desired viscosity of a cosmetic product is given. This takes a lot of time and of course a lot of money.
We have the opinion that this can be done more easily nowadays! The Quantistry Lab - our cloud-based simulation platform that uses quantum simulations and artificial intelligence - replaces countless development cycles in the lab. It reduces the investment costs of researching companies accelerates their R&D and improves their environmental footprint at the same time. Our customers think thats pretty cool and so do we. What about you
During hundreds of development cycles researchers have worked their way toward the optimal properties of a material or a chemical agent. Until the ideal conductivity of a semiconductor is achieved or the desired viscosity of a cosmetic product is given. This takes a lot of time and of course a lot of money.
We have the opinion that this can be done more easily nowadays! The Quantistry Lab - our cloud-based simulation platform that uses quantum simulations and artificial intelligence - replaces countless development cycles in the lab. It reduces the investment costs of researching companies accelerates their R&D and improves their environmental footprint at the same time. Our customers think thats pretty cool and so do we. What about you
Quantistry - Next Level of Chemical Simulations
Additional Information
Quantistry is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race color religion sex disability age sexual orientation gender identity national origin or genetic information.
Contact Information
Your contact person is Stefan. If you have any questions please send an email to Please apply for this position only through our careers page at including your CV a short cover letter and ideally highlighted projects youd like us to know about.
Employment Type
Full-Time
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