Technical Customer Success Manager // apheris AI at apheris AI

Posted on: 10/09/2021

Location: Berlin, Germany (ON-SITE)

full time

Original Source

Tags: scikit keras docker pandas containers aws python ml

**About the role** Apheris' Enterprise customer base is growing at pace. To ensure our customers are wildly successful with the Apheris platform for Secure Multi-Partner Data Collaboration, we're looking for our first Technical Customer Success Manager to support our customers as they begin their data-collaboration journey with us. With your strong data science skills coupled to a genuine interest to dig deep into industry verticals, you will team up with our customers‚Äô data science teams to support them from their first deployment of the Apheris Platform throughout their entire (data-collaboration) journey with Apheris, building the foundations for future growth and expansion within the account. You will be our customers‚Äô go-to person on the data science side, helping to understand their business, technical and functional requirements, break requirements into milestones and co-build data pipelines and models with their data science teams. As a technical account manager, you will also work closely with the Apheris business team to identify, shape and scope new use cases as the customer grows their usage of our platform. For this central role, excellent technical project management skills, a customer-centric mindset and being motivated by working in a fast-paced environment are crucial. ‚ÄčFinally, working closely with our CTO and CEO, our first Customer Success hire will be a key contributor to strategic product roadmap decisions based on the feedback you gather from the customer front lines. This is a great opportunity for someone who loves rolling up their sleeves and getting hands-on in customer deployments to simultaneously shape the future of our cutting-edge technology and how we make our customers successful. ‚Äč **What you will do** * Work directly with a portfolio of customers helping them to drive significant value from the Apheris Platform * Identify high-value use cases and design project plans in close collaboration with our customers * Deliver implementations of the Apheris Platform tailored to our customer‚Äôs needs * Build up a Center of Data Science excellence team at our customers and work hands-on with our users * Consolidate customers‚Äô requirements and communicate them to product management and R&D teams. * As a power user of our platform, support our product development with tests, evaluations, demonstrations, and documentation of best practices for Beta versions and new product capabilities. **You should apply if** * Degree in a quantitative discipline, e.g., Computer Science, Mathematics, Physics, Statistics, Bioinformatics, Computational Biology/Chemistry, Engineering * At least 3 years of industry working experience in a customer-facing role with large enterprise clients on Data Science and ML projects * Genuine interest to dive deep into industry specific data science problems * Understanding of ML-Ops and what it means to bring ML into production * Expert coding skills in Python and typical data science libraries (pandas, Scikit-learn, Keras, ‚Ķ) * Great analytical and problem-solving skills coupled to excellent communication and presentation skills * Fascination of working on cutting-edge technology in a fast-paced environment and a young start-up * Self-motivation, proactive team player with innovative ideas to inspire customer loyalty * Based in Berlin (option to work partly remote) **Bonus points if** * Expertise in the healthcare/ pharma-sector or in manufacturing * SaaS B2B industry experience * Experience with cloud infrastructure and cloud-native application development, including Docker containers, preferably on AWS * Experience with distributed or federated data processing (e.g., federated machine learning) If you do not match 100% of the above requirements, but you think you fit this role, we encourage you to apply anyway. We value the right people and search based on your personality, potential and motivation to learn and grow. Together we can adapt the role in a way that is meant for you! **What we offer you** * Plenty of room to grow personally and professionally and shape your own role * A fun and diverse team of smart and driven people * Industry-competitive compensation * Access to an employee participation program * Personal budget for conferences, books, trainings and courses * The right hardware to make you efficient ‚Äď be it a laptop with Linux, Windows or a MacBook * Regular team lunches and social events * Daily fresh fruit, drinks, coffee (and an occasional beer) * Inspiring office space in the heart of Berlin directly at the river (Paul Lincke Ufer) * Possibility to work partly remote **About Apheris** We are Apheris, a deep tech company at the forefront of the AI revolution that is on a mission to fundamentally reinvent how organizations collaborate and extract value from data. The Apheris Platform sets out to empower organizations to securely analyze distributed data of multiple parties, while keeping proprietary information private. Our platform allows multiple organizations with complementary data to create an Apheris Data Ecosystem and generate shared value from their data. We have set up such Data Ecosystems for large enterprise customers in healthcare, pharma and chemical R&D, and we are ready for the next big challenges. Our company is a community of interdisciplinary and industry-leading researchers and engineers. As a team, we work to solve complex problems in order to revolutionize the ways that our customers can interact with data. We are driven by our high-impact values and strive for the impossible. Together, we aim to create a whole that is far more than the sum of its parts. We take pride in Apheris‚Äô supportive environment and share responsibilities and ownership. We are proactive thinkers, are hungry to learn and stay humble as we grow. We are backed by top investors and tech industry innovators, including LocalGlobe, MuleSoft founder Ross Mason and Twitter board chairman Patrick Pichette (former CFO of Google) and we work closely with Fortune 500 customers to develop our globally leading enterprise Apheris Platform for federated and privacy preserving data science. We are experiencing rapid growth and are recruiting ambitious and adventurous team members to help us build a better future for data. Logistics Our interview process is split into three phases: 2. **Initial Screening**: If your application matches our requirements, our hiring manager will invite you to an initial video call. In this 45 minutes interview, you will get to know us and the role. Our hiring manager will be interested in your relevant experiences and skills as well as answer any question on the company and the role itself that you may have. 4. **Deep Dive**: Your second video call will be with a domain expert from our team. Our interviewer will assess your skills and knowledge required for the role by asking you about meaningful experiences or your solutions for specific scenarios in line with the role we are staffing. 6. **Final Interview**: Finally, we invite you to our office for two to three hours of interviewing with our founders, talking about our culture and meeting future co-workers on the ground.