
MOIA · Berlin
JOIN US AS A (SENIOR) SYSTEMS ARCHITECT (ECU) - AUTONOMOUS DRIVING (ALL GENDERS) IN OUR AD PRODUCT STRATEGY TEAM AND HELP SHAPE THE FUTURE OF AUTONOMOUS MOBILIT...
JOIN US AS A (SENIOR) SYSTEMS ARCHITECT (ECU) - AUTONOMOUS DRIVING (ALL GENDERS) IN OUR AD PRODUCT STRATEGY TEAM AND HELP SHAPE
AD Strategy defines the target picture and roadmap for our self‑driving system powering mobility‑as‑a‑service. We connect deep
tech with business outcomes—aligning sensors, compute, AI, safety, and partners—so we can scale safe, reliable, and cost‑effective
autonomous operations.
In this senior role, you will run technology scouting, vendor collaboration, and lead the definition and early development of our
next‑gen AD ECU and drive C‑level decision materials. You will partner closely with AD Software/Hardware, Safety,
Simulation/Validation, Procurement, and external vendors.
international Tier-1 suppliers
sourcing, lifecycle, and cost targets.
all supplier DV/PV test activities and validation planning
traceability, and alignment with MOIA/VW safety, quality, and homologation requirements
ECUs, domain controllers)
interfaces, EMI/EMC, and thermal design
written and spoken form
environments
We welcome applicants from diverse backgrounds — even if you don’t meet every requirement. If you’re excited about the role and
MOIA’s mission, we’d love to hear from you!
collaboration!
volunteering, etc.)
MOIA rides
language classes
For student & internship positions, we have an adjusted set of benefits. You can find them here.
We are a member of Charta der Vielfalt and are dedicated to actively fostering a workplace that celebrates and promotes diversity
in various aspects such as age, gender identity, race, sexual orientation, physical or cognitive ability, and ethnicity. At MOIA,
we embrace a culture where people are accepted, respected, valued, appreciated, and included.
In our commitment to promoting diversity and inclusivity, we regularly provide unconscious bias training to all our employees.
Furthermore, we continuously strive to enhance our hiring process by ensuring a diverse hiring panel.
At MOIA, our teams are typically distributed across our office locations and collaborate in a hybrid setup. We work together both
remotely and on site, choosing the mode of collaboration that fits the context, the work at hand, and each team’s rhythm.
Spending time together in our offices is an important part of how we stay connected, build trust, and solve complex problems. At
the same time, we value flexibility and give teams and individuals autonomy to shape their ways of working, with everyone having
the freedom to organise their routines in a way that aligns with their work and their team’s needs.
If you’d like to learn more about how we work, visit our blog for insights into our culture and hiring process, or follow us on
Instagram for a look behind the scenes at MOIA.
At MOIA we’re reimagining the future of mobility – safe, autonomous and tailored to the needs of cities and their people. As a
tech company with more than 400 employees, we build mobility solutions that truly move cities forward.
We launched our ridepooling service in Hamburg in 2019 and have been part of the city’s public transport system since 2023. Since
launch, we have transported over 12 million passengers. Currently, MOIA is evolving from a mobility provider to a tech provider
offering a scalable and safe turnkey solution for autonomous driving.
With office locations in Berlin and Hamburg, our diverse and international team comprising more than 60 nationalities works
together toward that shared mission.
MOIA is more than a technology provider – we are a partner to cities and public transport operators committed to creating more
livable spaces and delivering mobility solutions that are reliable, safe and comfortable.
We value authenticity and personal insights in your application responses. While AI tools can be useful, we encourage you to
answer the following questions based on your own experiences and understanding. This helps us keep a human touch and better
evaluate your unique perspective and match for the role.
To reinforce an unbiased screening process, we kindly ask you not to include your picture, age, address, or any other details
unrelated to your qualifications and suitability for the role. Additionally, we anonymize applications during the initial review
phase by removing personally identifiable information. This ensures that our evaluation focuses solely on your skills, experience,
and potential – supporting a fair and inclusive hiring experience for all candidates.
FEQ427R199 The Solutions Architect (Lakebase) team executes on Databricks’ strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritised product lines in order to establish product market fit, and set the course for rapid revenue growth. They are part of a global go-to-market team mandate, though individually will cover a specific, local region. Clients may span across one or more business units and verticals. By working in partnership with direct account teams, they will jointly engage clients, foster the necessary relationships, position in-depth the specific product line, so as to provide compelling reasons for clients to adopt and grow the usage of the given product. They understand the appropriate approach, the guardrails, and the steps needed to successfully adopt the product line, as clients deliver on their business objectives. The Solutions Architect (Lakebase) is paired with an Account Executive aligned to a given product line with specific targets accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos and other assets and deliver them such that clients make an informed decision as they decide to adopt the product-line in a meaningful way. The Lakebase product-line requires the following core technical competencies: * 10+ years of transactional database (OLTP) expertise across engineering, product development, administration, and pre-sales, with a proven track record of designing and delivering client-facing solutions. * Credibility in influencing OLTP products with the market insight needed to shape and prioritise roadmap capabilities. * Experience architecting solutions that integrate transactional data systems within broader Big Data, Lakehouse, and AI ecosystems. * Infrastructure, platform and administration expertise around disaster recovery, high availability, backup and recovery, scale-out methods, identity and security management, migrations (vendor-to-vendor, on-prem to cloud) The impact you will have * Collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory. * As a trusted advisor, serve as an expert Solutions Architect and "champion," building technical credibility with stakeholders to drive product adoption and vision. * Enable clients at scale through workshops and developing customer-facing collateral that helps increase technical knowledge and thought leadership. * Influence product roadmap by translating field-derived, data-driven insights into strategic recommendations for Product and Engineering teams * Handle the most complex technical challenges in this product line by acting as the tier-3 escalation point for the field, ensuring customer success in mission-critical environments. Competencies & Responsibilities * 6+ years in a customer-facing, pre-sales or consulting role influencing technical executives, driving high-level data strategy and product adoption. * Proven ability to co-plan large territories with Account Executives and operate in a highly coordinated, cross-functional effort across GTM and R&D teams. * Experience collaborating with Global System Integrators (GSIs) and third-party consulting organisations to drive customer outcomes. * Proficient in programming, debugging, and problem-solving using SQL and Python. * Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP). * Broad experience (in two or more) and understanding across the fields of data engineering, data warehousing, AI, ML, governance, transactional systems, app development, and streaming. * Undergraduate degree (or higher) in a technical field such as Computer Science, Applied Mathematics, Engineering or similar. * A track record of driving complex projects to completion in fast-paced, customer-facing environments. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Location: Come and join us in Berlin! Freenow by Lyft empowers smarter mobility decisions helping people to move freely and cities to thrive. Be ready to work in a multinational, diverse, highly motivated and collaborative marketing team who strives for excellence and likes to have fun. Are you ready for your next ride? Join us as a Senior Backend Engineer to build the intelligent systems that power our support teams, drivers and passengers. You will drive the development of reliable and scalable backend services that bring our AI asset features to life end-to-end. Be ready to join a multinational, diverse, highly motivated and collaborative team who strives for excellence and likes to have fun, while building great features and products. ---------------------------------------------------------------------------------------------------------------------------------- YOUR DAILY ADVENTURES WILL INCLUDE: * Architect, build, and maintain robust backend services powering AI-driven support flows, from intent routing to automated case resolution. * Integrate and orchestrate LLMs to power AI-assisted support experiences for drivers and passengers. * Run testing and evaluations for AI agents, defining test scenarios, using evaluation tooling, and validating agent behaviour manually and at scale. * Ensure AI systems are observable and reliable through monitoring of latency, fallback rates, and output quality. * Own features end-to-end, from concept through to deployment and performance monitoring, partnering with engineers, product managers, and support teams to deliver meaningful, user-centered solutions. * Experiment with AI-enhanced tools and features to elevate our products and engineering practices. * Bring your ideas to life and help shape how we work, grow, and innovate as a team. * Actively engage in our engineering communities to share insights, mentor other engineers, and contribute to a culture built on transparency, continuous learning, and mutual respect. Our Techstack: Kotlin | TypeScript | Spring | React | AWS | Docker | Git | Kafka & more ---------------------------------------------------------------------------------------------------------------------------------- TO BE SUCCESSFUL IN THIS ROLE: * Strong hands-on backend development experience, with proficiency in Kotlin and Spring. * Experience with distributed systems, event-driven architectures (e.g. Kafka), CI/CD pipelines, and observability tooling (e.g. Grafana, Datadog, Kibana). * Experience integrating and working with LLMs (e.g. Gemini, GPT, Claude) in production systems, with familiarity with AI agent concepts, tool use and intent classification. * Experience with intent testing and evaluation of AI agents using evaluation tools and frameworks. * Owner mentality, you care deeply about quality, continuous improvement and technical mentorship. * You thrive in a self-organized, agile team that values autonomy, open communication, and purpose-driven work. * You bring creativity and a problem-solving mindset to technical challenges. * You actively use AI tools (e.g. Copilot, Cursor, Claude) as part of your day-to-day development workflow. * You communicate clearly and confidently in English, both written and spoken. ---------------------------------------------------------------------------------------------------------------------------------- BENEFITS & PERKS IN A NUTSHELL: * Flexible working arrangements * LinkedIn Learning * Sabbatical & special leave policies * WeRoad partnership * Birthday, 24th + 31st December off * Short term EU work policy * Mobility Credit * Health Insurance * Employee assistance program ---------------------------------------------------------------------------------------------------------------------------------- DIVERSITY, EQUITY & INCLUSION: Freenow is an equal opportunity employer and we consider qualified applicants regardless of race, religion, national origin, gender, gender identity, sexual orientation, disability or age. We want you to grow and evolve, bring your true self to work. ---------------------------------------------------------------------------------------------------------------------------------- ABOUT FREENOW: Freenow by Lyft empowers smarter mobility decisions, helping people to move freely and cities to thrive. Through our multi-mobility app, we feature broad options for everyone across 9 European markets and over 180 cities. Millions of passengers can access services including taxis, private hire vehicles, carsharing, car rental, e-scooters, e-bikes, e-mopeds, and public transport within a single app. In July 2025 Freenow was acquired by Lyft, a global mobility platform, which connects riders and drivers for billions of rides across North America and Europe. Together, Freenow and Lyft are creating a more caring and connected world, with transportation for everyone. We are a global, diverse, highly motivated, and collaborative team that strives for excellence and likes to have fun. Ready for your next ride?
About the team: Within the Global Operations organisation, our mission is to build the best customer experience in the fintech industry by delivering an effortless customer experience to all our merchants. We are seeking a skilled and passionate Senior AI / Machine Learning Engineer to join our talented AI team and lead the development of AI models and algorithms that will drive our customer support service to new heights. As a Senior AI / Machine Learning Engineer at SumUp, you will be responsible for building and optimizing state-of-the-art AI models and algorithms. Your expertise with machine learning, deep learning, and LLMs will be crucial in driving the success of our AI-driven initiatives. You will work closely with cross-functional teams, including backend engineers, data scientists and product managers, to translate business requirements into innovative AI solutions. Your contributions will shape the future of our support products and help us stay at the forefront of technological advancements in the field of AI. What you’ll do * Architect, design, develop and deploy our AI solutions and systems in production environments, ensuring reliability, high performance and scalability. * Collaborate and communicate closely with data scientists, product managers, developers and other business stakeholders to bring state-of-the-art AI solutions to Customer Support, enhancing customer experience and improving operational efficiency. * Develop and maintain ML infrastructure and pipelines to support efficient data processing, model training and serving. * Optimize and fine-tune machine learning models to improve accuracy, efficiency and scalability. * Collect, preprocess and clean large text datasets to ensure high-quality input for model training and evaluation. * Embrace software development principles, best practices and industry standards, including version control, CI/CD processes and unit testing frameworks as your day-to-day work. * Collaborate with cross-functional teams to ensure seamless integration of machine learning solutions into software applications and platforms. You’ll be great for this position if you have: * Bachelor’s degree in Machine Learning, Computer Science or an engineering-related field. * +8 years of proven experience working as a Machine Learning Engineer, focusing on building and deploying scalable machine learning or AI solutions and data-driven systems. * Relevant experience building AI products, such as Chatbot Assistant, RAG system, etc. * Excellent software development engineering skills to design computationally effective solutions and maintenance in large-scale production environments (data version control, model serving, continuous monitoring & alerting) * Experience building and deploying ML models using cloud services (AWS, GCP, or Azure). * Expert in Python and familiarity with MLOps tools (e.g., MLflow, Kubeflow, Airflow, Langfuse). * Experience with machine learning workflow orchestration and algorithms optimisation, feature engineering pipelines, data ingestion and transformation. * Good understanding of data pipelines, APIs, containers (Docker), and version control (Git). * Excellent analytical and problem-solving skills, with strong attention to detail. * You have working proficiency and communication skills in verbal and written English. Why you should join SumUp: 🌍 Opportunity to work with SumUppers globally on large-scale fintech products used by millions of businesses worldwide, from our Berlin office. This involves an office-first setup. 🌈 Commitment to Diversity and Inclusion: Be part of a workplace that values and promotes diversity, fostering an inclusive environment where everyone's perspectives are respected and embraced 📚 A dedicated annual L&D budget of €2,000 for attending conferences and/or advancing your career through further education. 🚀 Enrolment onto our VSOP program: You will own a stake in SumUp’s future success 💶 A corporate pension scheme where we match up to 20% of your contributions 🔄 30 Days Sabbatical: Enjoy the unique opportunity to take a well-deserved break with our 30 days sabbatical benefit after completing 3 years of employment with SumUp. 🔗 Referral Bonus: Earn additional rewards by referring talented individuals to join the SumUp team. 🚵🏾♂️ Numerous other benefits such as Urban Sports Club subsidy, Kita placement assistance, relocation assistance, subsidised office lunches. About us: SumUp is a leading financial technology company, founded in 2012 with the goal of empowering small businesses around the globe. We’re the financial partner of choice for more than 4 million merchants in over 35 markets. We collectively build, plan and fine-tune the technology that drives SumUp and empowers small businesses around the world. We believe in the everyday hero. Those who have the courage to follow their passion and who have the strength and determination to realise their dreams. Small business owners are at the heart of all we do, so we're creating powerful, easy-to-use financial solutions to help them run their business. With a founders mentality and a 'team-first attitude' our diverse teams across Europe, South America, and the United States work together to ensure that small business owners can be successful doing what they love. SumUp is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. SumUp does not make hiring or employment decisions on the basis of race, colour, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age or any other basis protected by applicable laws or prohibited by Company policy. SumUp also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Job Application Tip We recognise that candidates feel they need to meet 100% of the job criteria in order to apply for a job. Please note that this is only a guide. If you don’t tick every box, it’s ok too because it means you have room to learn and develop your career at SumUp.