As Senior Solution Engineer in the Customer Success & Solutions team, you are responsible for leading and delivering intelligent automation solutions to our customers based on our products. This involves diverse tasks from evaluating customer requirements, technical solution consulting, solution design, project planning, data evaluation, solution implementation, solving data science challenges, and customer onboarding.
Your Responsibilities- Take responsibility for technical planning and solution design by transforming customer requirements into efficient cognitive automation workflows by leveraging our internal software solutions suite.
- Own the ongoing technical communication across various stages with the customer. Be the trusted go-to technical contact for the customer. Support Pre-Sales and Customer-Success Team with technical know-how.
- Deliver the implementation of cognitive automation solutions to meet customer requirements within the project timeline.
- Navigate enterprise environments both technically and communication-wise. This means using your knowledge of enterprise environments to help customers in setting up the communication efficiently, communicating requirements and responsibilities clearly, ensuring fast feedback loops, and supporting the setup and use of our on premise-software solutions.
- Transform data from customers into high-quality input for machine learning and data analysis. This involves data gathering from web API's, exploratory data analysis, data cleaning, transforming data, data validation, and optimization of data label quality for the training of high-performance machine learning models.
- Ensure that delivered solutions continue to operate smoothly and provide proactive technical support to customers as needed.
- Establish implementation processes and contribute code that improves the time spent on projects and also ensures the high quality of the solution delivered.
- Extend and enhance the solution engineering toolbox with the latest technologies to optimize the implementation projects' efficiency and results.
- Collaborate and communicate internally with the customer success, machine learning & product engineering team. This includes project reviews, helping to conceptualize new features, ongoing communication of customer needs, and relevant insights learned.
- A degree in a quantitative scientific discipline (Mathematics, Physics, Computer Science or similar) and/or significant experience working as a Solution Engineer or Solution Architect or Data Scientist/Data Engineer, ideally with corporate customers or in a corporate environment
- Experience with data handling/data wrangling: Exploratory data analysis, data cleaning, data transformations, data visualization, building end-to-end data processing pipelines
- Experience in software development
- Great presentation and communication skills
- Scientific thinking: Ability to break down a concept into its causal parts, reasoning from first principles
- Demonstrated proficiency in Python or similar high-level programming languages
- Highly motivated to deliver exceptional outcomes for our customers
- Reliable in delivering on deadlines in challenging and new projects
- Experience with enterprise on-premise software environments is an advantage
Fluent in German and English is necessary for this role
Our stack- OS: Linux
- Languages: python, bash
- Libs: numpy, scikit-learn, matplotlib, apache-airflow, jupyter, AutoNLU (in-house)
- Tools: git, docker, apache-airflow, Power-BI, Tableau
API:
studio-api (in-house)
- We are a startup. That means you can still shape team, products and processes and have an impact from day one
- Connect with highly motivated, committed colleagues that together shape the future of cognitive automations with focus on Natural Language Processing
- Contribute to building world-class products with a real impact for users, customers and in the industry
- Enjoy a trust-based, open-minded working environment with flat hierarchies
- We work agile and iteratively deliver towards our milestones and goals. We do code reviews and pair programming
- We work closely together in the whole team, we help each other out, we share knowledge, we take responsibility, we give and take feedback, we spar, we communicate
- Work in a spacious office in the heart of the Alps with the option to work remote
- Receive a competitive compensation package
