
JetBrains · Berlin
Our Software Engineering Research Department focuses on integrating scientific innovation into JetBrains products. Leveraging our expertise in research and acad...
Our Software Engineering Research Department focuses on integrating scientific innovation into JetBrains products. Leveraging our
expertise in research and academic collaborations, we ensure our tools remain at the forefront of technology.
We're seeking a diligent and proactive individual to join us, helping to streamline our operations and foster closer collaboration
between JetBrains teams. By taking on organizational responsibilities, you'll enable our tech specialists to concentrate on
driving innovation and adding even more value to the company.
As a Project Manager for our Research Department, you'll play a central role in the department's core activities. Here’s a quick
consistently, even when dealing with the inherent unpredictability of research — from evolving goals and unexpected outcomes to
shifting requirements and unforeseen technical challenges.
organizational, and legal tasks to ensure smooth operations.
and other stakeholders involved in our projects.
stakeholders, keeping everyone informed and engaged.
to set the stage for success.
of uncertainty, ensuring both timeliness and quality. Knowledge of SDLC and frameworks is a plus.
risks and challenges associated with ML/AI projects.
seamless information flow and fostering alignment among diverse stakeholders.
of scope and requirements and effective execution for optimal outcomes. A background as a system or business analyst could be
beneficial.
and projects concurrently without compromising quality.
Even if you don’t fit 100% of the above criteria, feel free to apply anyway! We’re looking for someone who’s eager to learn, and
we’ll provide all the mentoring and support you might need.
We are an equal opportunity employer
We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that
welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.
We process the data provided in your job application in accordance with the Recruitment Privacy Policy.
HALLO! Our goal at Data4Life is to make the world a healthier place. Our Product and Project Management team makes sure we move toward that goal with focus, rigor and speed -translating research ambition into software that generates real impact in healthcare, in Germany and beyond. We're looking for a Senior Project Manager to lead the projects of our Impact Program - Data4Life's flagship partnership initiative for advancing real-world evidence generation across healthcare. The Impact Program runs in successive calls: individual partnerships with early-career researchers, solutions partnerships co-developing in therapeutic areas like oncology, neurology, and cardiovascular disease, and data partnerships building federated multi-site networks. The first call, Collect for Impact, currently funds projects across the globe -spanning topics like post-stroke rehabilitation and multi-wearable research. The second and third calls are in active preparation. In this role, you'll do more than shepherd these projects. As a tech company, Data4Life contributes through software development -and every Impact Program project is an applied research instance that should sharpen our platforms: Data2Evidence, our RWE platform built on the OMOP Common Data Model, and D4L Collect, our sensor data collection platform for digital health studies. You'll work closely with our Scientific Evidence Group on protocol refinement, analysis, and manuscripts; with engineering and product on platform development; and with our partners and the Hasso Plattner Foundation on program-level reporting. This is a full-time position based in Potsdam / Berlin. You'll report to the Head of Product and Project Management and partner across software engineering, scientific evidence, design, legal, and business development teams, as well as with international partners spanning academic medical centers, public health systems, and foundations. DEINE ZUKÜNFTIGE ROLLE * Lead the end-to-end delivery of the Impact Program portfolio, from call design coordination and applicant selection through project kickoff, execution, and dissemination, across the program's three streams (individual, solutions, and data partnerships). * Drive cross-functional delivery for each funded project across software engineering, design, the Scientific Evidence Group, and our partners -aligning Scrum and Kanban delivery cadences with the milestone-driven timelines typical of clinical and academic research programs. * Translate what each Impact Program project teaches us back into platform evolution. Surface concrete signals into the Data2Evidence and D4L Collect roadmaps -new sensors, new languages, new data integrations, new validation needs- such that our platforms strengthen through the program's work. * Partner with awardees as collaborators and mentees. Help early-career researchers and senior investigators refine study protocols, scope feasible analyses, navigate Data4Life's infrastructure, and ship publications and open datasets that strengthen their careers and our visibility. * Coordinate with the Scientific Evidence Group on protocol refinement, analysis feedback, and manuscript contributions -bringing rigor and pace to the scientific deliverables without becoming the bottleneck. * Own the program's operating model within Data4Life: planning, risk and dependency tracking, decision and assumptions logs, and reporting cadences for leadership, the Hasso Plattner Foundation, and external partners. * Communicate progress as impact -turning scientific and engineering milestones into stories that resonate with funders, clinicians, the research community, and the public. * Help mature the Impact Program across successive calls. Each call sharpens selection criteria, the support model, and what the program delivers for awardees and for Data4Life's mission. WAS DU FÜR DEINEN ERFOLG BRAUCHST * 4+ years of project or program management experience, with at least 2 of those years managing scientific, research, or academic projects. * Hands-on experience coordinating projects in a software development context, comfortable with software delivery cadences, technical scoping conversations, and how product and engineering decisions affect a research project's success. * Demonstrated experience working with academic researchers, principal investigators, and early-career scientists, including navigation of IRB/ethics approval processes, study protocol refinement, and the rhythms of academic timelines. * Experience managing projects across time zones, cultures, and organization types (academic medical centers, public health systems, foundations, NGOs, industry partners). * Working knowledge of managing sensitive patient and research data under GDPR; familiarity with HIPAA where relevant. * Scientific literacy in health-adjacent domains: enough to engage substantively with study protocols, statistical analysis plans, and manuscript outlines, even when you're not the primary author. * Familiarity with open science practices: FAIR data principles, open-access publication, public code and data repositories (e.g., Zenodo, GitHub), and reproducibility-aware analysis workflows. * Mastery of Scrum or Kanban, with the flexibility to interface with the milestone-driven, often waterfall-flavored timelines common in clinical and academic research. * Strong leadership and mentoring skills in a multidisciplinary, multi-stakeholder research environment. * A Bachelor's degree in Life Sciences, Public Health, Biomedical Engineering, Health Informatics, Computer Science, or a related field, or equivalent professional experience managing complex research or software projects. * Languages: You're fluent in English. German at B2 level is a plus; a third language is a plus. Nice to have: * A Master's degree, PhD, or MD in a relevant field; or a PMP, Certified Scrum Master (CSM), or related project management certification. * Working understanding of real-world evidence concepts and standards, the OMOP Common Data Model and OHDSI tooling, HL7 FHIR, and CDISC. * Prior experience running a grants program, research network, or foundation-funded research portfolio. * Personal scientific output (publications, datasets, conference contributions) demonstrating scientific maturity. DAS ERWARTET DICH BEI UNS * High level of personal responsibility and creative freedom * Work on socially impactful projects in the healthcare sector * Collaboration with leading partners from research, technology, and healthcare * A diverse, interdisciplinary, and international team working across three locations (Potsdam, Berlin, and Singapore) * Flexible working models with the option to work from home * Permanent employment contract with 30 days of vacation * Attractive employee benefits, e.g. private supplementary health insurance, public transport ticket GUT ZU WISSEN * We especially welcome applicants from the LGBTQI+ community, people with a migration background, people of color, and individuals with neurodiversity, disabilities, or chronic illnesses to the team. * If you need support or special assistance during the application or interview process due to a disability, please feel free to let us know and we are happy to accommodate you as much as possible. * Please enclose your complete documents (CV, Github Account, Work sample) with your application. * For this position it is important that you are able to regularly be present in our Potsdam and/or Berlin office.
ABOUT WOLT At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. Wolt is part of DoorDash — together we form one of the world's largest local commerce platforms, operating across DoorDash, Deliveroo, and Wolt markets in 40+ countries. Our Consumer organisation sits at the intersection of machine learning and customer experience, responsible for helping millions of customers every day find the right restaurants, dishes, and items in search, personalised recommendations, and discovery surfaces that feel intuitive and relevant. It's a domain where scale is truly global, the engineering and applied science problems are genuinely hard and scientifically interesting, and the impact on the customer experience and our business metrics is immediate and measurable. We’re looking for an Applied Scientist to join our Consumer org. In this role you’ll work on some of the most technically challenging ML problems across DoorDash: understanding what our customers are looking for, identifying key concepts in their queries and surfacing the most relevant results. You'll be embedded in a cross-disciplinary team of engineers, ML engineers and applied scientists with full ownership from research to production. If your expertise matches our domain and you want to work on hard problems at global scale alongside exceptional colleagues, we'd love to meet you. WHAT YOU’LL BE DOING As an Applied Scientist in Consumer, you’ll advance the ML models and methods that power how customers across DoorDash, Deliveroo, and Wolt find and discover content. You’ll work end-to-end collaborating closely with engineers and product managers to deliver real impact. DAY-TO-DAY IN THIS ROLE YOU’LL: * Design and develop ML models for search relevance, query understanding, and ranking that operate across DoorDash, Deliveroo, and Wolt’s 40+ markets. * Bring state-of-the-art solutions to our stack for the delight of our customers, helping the team to impact business metrics. * Work end-to-end on ML problems: from problem framing and data analysis through model development, offline evaluation, and production monitoring. * Collaborate with Software Engineers, ML Engineers, Product Managers, and Analysts to translate research insights into real customer impact. * Contribute to our group-wide Applied Science community through knowledge sharing, technical reviews, and raising the bar on ML practices. OUR HUMBLE EXPECTATIONS* * You have 4+ years of hands-on experience in applied ML with a track record of shipping models to production (a PhD in ML with applied research experience is equally welcome). * You have solid experience in Search: query understanding, query intent prediction, or semantic search. * You are proficient in Python and experienced with ML frameworks and large-scale data processing. * You communicate complex technical ideas clearly and collaborate effectively with cross-functional teams. * Experience with NLP, dense retrieval, learning-to-rank, or embedding-based methods is a strong plus. WHAT WE OFFER In this role, you will have a direct and measurable impact on millions of customers every day. You’ll join a team of world-class applied scientists and engineers in DoorDash, Deliveroo and Wolt who care about both rigour and craft, tackling problems that are genuinely hard and impactful in ways that few companies can offer. Together with your lead, you will have the opportunity to create a personalised development plan to grow your strengths and to develop new capabilities. 📍 This role can be based in one of our tech hubs in Berlin, Helsinki, or Stockholm, or you can work remotely anywhere in Finland, Sweden, Germany. We also offer relocation support to help you join us. NEXT STEPS* Once you apply, you will go through 4 steps in our hiring pipeline: * TA Screen: a 30-minute introductory call with one of our Talent Partners to learn about your background and tell you more about the role. * Hiring Manager interview: a conversation covering your domain experience in Search or Personalisation, past projects, AI fluency, and ways of working. We will tell you more about the team, use cases, our tech stack, etc. and it will be your opportunity to ask questions. * Coding & System Design: a technical session focused on ML system design and problem-solving with some of the team’s ML Engineers. * Project / Expertise Deep Dive: an interview with the team’s Applied Scientists, going deep on your domain expertise and past projects. OUR COMMITMENT TO DIVERSITY AND INCLUSION We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
JOIN US AS A WORKING STUDENT COMPLIANCE ENGINEERING (ALL GENDERS) IN OUR CLOUD & PLATFORM ENGINEERING TEAM AND HELP SHAPE THE FUTURE OF AUTONOMOUS MOBILITY! Join us as a Working Student Compliance Engineering (all genders) in our Application Security team and help shape the future of autonomous mobility! Our Application Security Team is a group of cybersecurity experts providing shared security services for MOIA's autonomous driving operations. Sitting within the Cloud System Development Department, we safeguard the systems that power the next generation of urban mobility. We work at the exciting intersection of cutting-edge technology, regulatory compliance, and artificial intelligence — ensuring that as our autonomous vehicles move forward, they do so securely and in full compliance with evolving legal frameworks. This is a unique opportunity to pioneer the emerging field of Compliance / Legal Engineering — where law meets code. As autonomous driving technology accelerates, so does the complexity of the regulatory landscape surrounding it. We're looking for a curious, motivated working student who wants to build the bridge between legal compliance and technical automation. Whether you come from a legal background with a passion for technology, or a technical background with a fascination for law and standards, you'll find meaningful work here that shapes how an entire industry approaches compliance. WHAT YOU WILL DO * Design and deploy agentic AI workflows to automate compliance processes for autonomous driving operations (e.g., via AWS Bedrock AgentCore). * Implement automation solutions that translate complex regulatory requirements (e.g., EU AI Act, NIS2, CRA, GDPR, etc.) into enforceable technical controls. * Work hands-on with compliance automation platforms (e.g., Vanta) and cloud security posture management tools (e.g., Wiz) to monitor and maintain our compliance posture. * Collaborate with cross-functional teams — including security engineers, data scientists, autonomous driving safety experts, legal counsel, risk management, and audit functions — to identify and address compliance gaps. * Research and map applicable legal frameworks and international standards (e.g., ISO 27001, ISO 21434, SOTIF, type-approval regulations, etc.) to our technical infrastructure. * Contribute to the development of internal tooling and CI/CD pipelines that embed compliance checks directly into software delivery processes (e.g., via MCP servers). * Support the creation of documentation, reports, and dashboards that communicate compliance status to both technical and non-technical stakeholders. * Explore emerging approaches to regulatory technology (RegTech) and propose innovative solutions to keep MOIA ahead of evolving requirements. WHAT WILL HELP YOU TO FULFILL YOUR ROLE * You are currently enrolled in a full-time Bachelor's or Master's program. * To support your personal development and for you to take ownership of projects and processes, you should be enrolled for at least one year. * You communicate with clarity and confidence in English (C1 CEFR level) comfortable engaging with diverse stakeholders in a fast-paced environment (must have requirement) * You bring a genuine interdisciplinary mindset: if you're from a legal background, you have a strong hands-on interest in AI, coding, and technology implementation (actual code, not just theory or AI laws); if you're from a technical background, you have a real curiosity about law, regulation, and standards in autonomous driving * You are proficient in at least one programming or data manipulation language or have a demonstrated willingness and ability to learn quickly * You have foundational knowledge of — or eagerness to develop skills in — cloud computing (primarily AWS) and/or cybersecurity principles * You understand (or want to learn) CI/CD concepts and modern software development practices * You are self-driven, organized, and able to manage your time effectively in a remote-first setting Bonus points if you bring: * Experience (including internships or academic projects) in autonomous driving, automotive, software development, cloud computing, or compliance * Familiarity with regulations such as the EU AI Act, NIS2 Directive, Cyber Resilience Act (CRA), GDPR, or similar * Exposure to international standards like ISO 27001, ISO 9001, ISO 21434, frameworks from NIST and ENISA, or regulatory environments outside of Germany * Project management skills or experience coordinating work with multiple stakeholders 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! JOIN OUR STUDENT COMMUNITY Are you curious, motivated, and eager to learn? So are we! Our student community is made up of around 30 passionate individuals based in Hamburg and Berlin. We come together every quarter to exchange ideas, share exciting projects from our daily work, and simply enjoy each other’s company—whether it’s a deep dive or a relaxed coffee chat. As a student or intern at MOIA, you’ll take on meaningful, high-impact projects that contribute directly to our mission. You’ll collaborate closely with your team, who will support you in setting goals, offer mentorship, and help you grow both professionally and personally. Want to see what it’s like? Check out our blog post for a behind-the-scenes look. Please note: While our general benefits are listed below, we offer a tailored set of benefits for student and internship positions. You can find the specific overview here. We can’t wait to welcome you into our community! OUR BENEFITS IN A NUTSHELL * Competitive salary (including bonus) * Hybrid work setup: Work from home or one of our offices - you and your team decide how often to meet, blending flexibility with collaboration! * Flexible working hours and the possibility of flexible work arrangements depending on your needs (parenting, care work, volunteering, etc.) * Budget and monthly expense allowance for home office setup * Possibility of remote work from outside Germany for up to 6 weeks per year from over 35 countries - learn more in our blog! * Public transport ticket (fully subsidized "Deutschlandticket") for commuting and travelling throughout Germany and discount on MOIA rides * Subsidized fitness club membership or bike leasing * Learning environment with continuous learning days, job rotation, trainings and workshops, coaching, conferences, books, and language classes * Mental health support, 1:1 sessions with external professionals and mental unload workshops * 30 vacation days, sabbatical and unpaid leave option * Relocation support with service provider (visa, administration, etc.) * Dog-friendly offices For student & internship positions, we have an adjusted set of benefits. You can find them here. BE WHO YOU ARE! 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. HOW WE WORK 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. WHO WE ARE 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. YOUR APPLICATION TO MOIA 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.