At Kallikor, we’re redefining the future of supply chains and automation by building immersive, world-scale synthetic environments. Leveraging the latest in AI, gaming, and open-source technologies, we empower businesses to continuously optimise, plan, and respond dynamically by providing a digital representation of their entire operations. Through advanced digital twins and enterprise metaverses, our platform allows companies to visualise, analyse, explore, and experiment with their supply chain environments, enabling smarter, faster decisions that drive real-world impact.
At Kallikor, you’ll work alongside individuals who strive for excellence in all they do and are driven to uplift and challenge those around them. We’re motivated by solving complex problems, aiming to achieve transformative change in the industrial landscape. Our roots lie in cutting-edge technology and strategic innovation, originally developed for the gaming, entertainment, and defence sectors. Learn more about our mission at kallikor.ai.
We’re seeking a presales model engineer to drive sales of our solutions by rapidly generating insights and building prototypes for prospective and early-stage customers. You’ll work with our presales team to provide these customers with a great ‘taster’ experience, including preliminary valuable insights and a sense of the benefit and value Kallikor solutions can deliver.
You'll be instrumental in shaping our approach to new customer work, which is focused on mathematical and data-driven modelling. Your work will span a variety of technical domains (primarily modelling and simulation, optimisation and AI) across a range of application domains (such as supply chain and robotics). You will collaborate closely with modelling and engineering teams, shaping project conceptions to align with the capabilities and maturity of our product offering and business objectives.
Your Opportunity:
- Understand customer and user stakeholders, their relationships, pain points and needs
- Build a strong relationship with customer and user stakeholders and deliver an excellent experience to them
- Initial data analysis and discovery to shape customer solution
- Build rapid prototypes, demos and MVPs to demonstrate rapid value creation
- Help shape our proposed solution approach to new customer work so as to maximise core product usage and delight the customer
- Stay abreast of the latest trends and advancements in modelling, simulation, digital twin technology, machine learning, artificial intelligence, and IoT, in order to identify further product strategy opportunities
Why You're Made for This:
- Proven commercial experience, ideally in a startup environment
- Experience in digital twin technology, AI, and machine learning, preferably with some exposure to logistics or supply chain management
- Excellent communication and collaboration abilities, solid relationship building and client interaction skills
- Strong technical background in software and modelling
- Experience with mathematical modelling paradigms (e.g. systems dynamics, event-based modelling, agent-based modelling) and associated simulation tools
- Skilled in Python including the more advanced features of the language
- Professional experience with tools and libraries for modelling, data analysis and scientific computing (e.g. NumPy, Pandas, SciPy, SimPy)
- Proven ability to deliver work solo or in small teams
- Strong communication skills, able to bring value propositions to life for a customer audience as well as tailor technical messages appropriately
- Ability to prioritise and simplify effectively to deliver key outcomes
While we think the above experience could be important, we’re keen to hear from people that believe they have valuable experience to bring to the role. If you identify with the team and mission, but not all of our requirements, then please still apply.
About Us
Kallikor is determined to foster an environment where people can do their best work and feel like they belong. We believe a healthy culture, strong values and contribution from a diverse range of individuals will help us to achieve success.
We do not discriminate based on race, ethnicity, gender, ancestry, national origin, religion, sex, sexual orientation, gender identity, age disability, veteran status, genetic information, marital status or any other legally protected status.
