Top Berlin Jobs

Our mission? Creating the finance solution that energizes SMEs and freelancers, so they can achieve more. We simplify everything from everyday banking to bookkeeping and spend management. At Qonto, we’re passionate about creating the best product, so if you’re looking for an ambitious team that’s revolutionizing an old-fashioned industry, get in touch!

Our journey: Alexandre and Steve launched Qonto in July 2017. Since then, the team has earned the trust of more than 350,000 customers and opened offices in Paris, Berlin, Milan, and Barcelona. Last summer, we joined forces with Penta, a market leader based in Berlin and Belgrade, forming a united team of 1000 Qontoers. We also made it to the Top 3 of LinkedIn Top Startups France!

Our values:

Ambition | We tackle big challenges. No matter what.

Teamwork | We create momentum by working together, at the same speed.

Mastery | We pursue excellence through continuous learning. We face challenges with humility. Every day.

Integrity | We're open. We're honest. And we earn the trust of our clients and each other.

You can find out more about the Qonto Way here.

Our beliefs: Our goal at Qonto is to create a warm and welcoming environment where individuals from all walks of life can truly thrive. We've gone above and beyond to ensure that every applicant is evaluated solely based on their skills and potential, rather than their gender, ethnicity, age, (dis)ability, or any other irrelevant factor. Our team consists of 49% international individuals, with 44% women and 20% parents. With this diversity, we are a powerful force! Join us in our mission to build a workplace that celebrates diversity and embraces individuality. Discover the steps we took to create a discrimination-free hiring process.

Qonto has grown a 60+ data team with Data Engineers, BI, and Data Scientists working together to deliver great dashboards, reports, and data products. Now is the time for Qonto to strengthen its data foundations. Qonto is looking for itsLead Data Platform to build its next-generation data platform.

Our vision of the Data platform

The data platform covers three key functions: governance, ingestion and data modelling. You only ingest the data Qontoers need: this is data governance. You rely on a modern data stack to ingest the data: airflow, dbt and snowflake. And you craft nice and discoverable tables and fields to be used widely at Qonto: this is data modelling. You serve all data teams: BI, Data Science, and Data Products.

There are 12 engineers in the data platform team divided into data engineers and analytics engineers.

Leading a data platform team means leading a team of 2 to 8 engineers

👩‍💻🧑‍💻What you will achieve in this role in your first year

- Simplify the data model: during your first year, you will focus on the analytics engineering part. Analytics engineers are building two key inner layers of the data model — the core and reference layers. Then, you will likely switch to leading hybrid teams composed of data and analytics engineers

- Organise your team delivery: how to make sure the core tables you deliver match the needs of data analysts? What prioritisation system to adopt?

- Coach and Grow your team: being a Lead at Qonto means setting your team for success

- Make your team shine inside and outside Qonto: you ingest clean data, transform them into nice documented tables, self-discoverable by every Qontoers. What a success! The incidents have nearly vanished and you feel proud of your team. How about you spread the word and share the key ingredients of your success?

🛠 Tech Stack:

- Our primary language is Python, our core platform consists of a Snowflake data warehouse, fueled primarily by an on site Airflow instance running on a Kubernetes cluster. Data is centralized through custom orchestrated batch jobs, with S3 as our intermediary lake. Data modelization is enabled thanks to an orchestrated dbt repository and quality validation results of a mix of tests using Great Expectations and dbt. We took advantage of ELK forlogging and monitoring as well as Airflow’s internal database.

🤔 What you can expect

- Join Qonto who is winning SME banking in Europe. Qonto is on track to power one million SMEs in 2025.

- Develop dozens of customer-impacting innovative data products ranging from understanding better our clients, to Qonto app killer features

- Work with a top-notch team

- Leverage our values and our culture of continuous improvement to boost your impact as a leader

🤝 Your future Manager

Jérémie, VP of Data, will be the one to help you succeed

- His background?

Before joining Qonto, Jérémie was an associate professor at Telecom Paris and Telecom SudParis. He led data teams for some of France's most reputed digital companies and still advises several deep tech startups. He teaches at Ecole Polytechnique and co-authored over 50 scientific papers.

- What does he bring to the team?

Jérémie defines a clear vision and path to success for our data platform, BI, data science analytics, and data products teams. He ensures they operate efficiently and have a smooth collaboration with other departments at Qonto. He also helps them continuously learn new skills while improving their existing ones and is still very involved in the hiring of his teams.

🏅About You

- Management: You have a few years of experience in managing teams of Data and Analytics Engineers

- Mastery: You are familiar with data pipeline tools (airflow, dbt, etc.), modern data architectures, and data governance processes

- Simplicity and quality: You prefer simple solutions and are obsessed with quality

- Languages: You are fluent in English. French is a plus.

If you read this far and feel like this could be a great opportunity for you, don't let the imposter syndrome prevent you from applying and hit the button "Apply", we'd really love to hear from you

At Qonto we understand that true diversity isn't just about ticking boxes on a hiring checklist. Apply regardless of the boxes you tick! Who knows? You may have the missing piece of the puzzle we've been searching for all along.

🎁 Perks

A laptop. An inclusive work environment. A tailor-made career track. And so much more to help you succeed.

- A central fully-renovated building in Berlin with WeWork services

- Monthly team events

- Tailor-made remote work policy depending on the job you apply for

- 28 days of paid leave

- Moka Care to take care of your mental health and gym access with Urban Sports Club

- A Hrmony lunch card: 100% covered

-100% public transportation reimbursement

- A progressive parenthood policy as part of our commitment to the Parental Act (1 in 6 of Qonto employees is a parent!) and childcare benefits with selected partners

💪 Our hiring process:

- Interviews with your Talent Acquisition Manager and future managers

- A remote exercise to demonstrate your skills and give you a taste of what working at Qonto could be like

We will send you an interview guide so you can best prepare yourself.

On average our process lasts 20 working days and offers usually follow within 48 hours 🤞

Thank you for considering joining Qonto. We cannot wait to learn more about you!

One last thing. We recently raised 486M€ in our Series D to ensure we keep growing safely, despite the current economic environment looking a bit gloomy. We revealed our plans for the future here.

To learn more about us:

Qonto's Blog | Handelsblatt  | Startup Insider | Frankfurter Allgemeine Zeitung (FAZ)

To know how your personal data will be processed during your application process or to request its deletion, please click here.

🙌 Who are we?

-A commercial open-source company that empowers businesses and developers to create cutting-edge neural search, generative AI, and multimodal services using state-of-the-art LMOps, MLOps, and cloud-native technologies

- Founded in Feb. 2020, raised $37.5M in 20 months. Now a global team of 65 with three offices: Berlin (HQ), Shenzhen, and Beijing.

- One of the high-valued & high-potential AI startups in the world, featured on Forbes DACH AI30 2020, CBInsights AI 100 2021 & 2022.

✨ Who do we want?

- You are passionate about multimodal intelligence and making it accessible to everyone.

- You want to work with the latest technologies and are fascinated by AI/ML.

- You are a fast learner and a team player and enjoy working in an async, distributed environment.

- You are proactive and take ownership of your projects.

- You have excellent communication skills in English.

💁 About this position

Jina AI  is seeking a talented and experienced Principal Research Scientist to join our team and help drive the development of groundbreaking AI technologies.

As a key member of our research team, you will focus on the design and implementation of LLMs such as GPT, BERT, and Transformer architectures, and multimodal models in resource-constrained settings, including on-prem, privacy-preserved, and low VRAM environments. This role is crucial to our mission to innovate and make breakthroughs in the AI industry.

Responsibilities

• Conduct cutting-edge research in LLMs, multimodal models, and resource-constrained settings, contributing to the company's overall research agenda.
• Develop and implement novel algorithms, techniques, and models using state-of-the-art approaches such as fine-tuning methods, federated learning, and knowledge distillation.
• Collaborate with the research team, as well as external partners, to enhance our research capabilities and drive innovation.
• Publish research findings in top-tier conferences and journals such as NeurIPS, ICML, and ACL, and present at industry events to showcase our advancements and maintain our position as an industry leader.
• Provide technical guidance and mentorship to junior researchers and engineers, fostering a culture of collaboration and continuous learning.
• Stay up-to-date on industry trends, competitor activities, and emerging technologies to ensure our research remains relevant and cutting-edge.

• PhD in Computer Science, Artificial Intelligence, or a related field.
• 7+ years of experience in AI research, with a focus on LLMs and multimodal models.
• Strong track record of published research and conference presentations in relevant fields, particularly at top-tier conferences such as NeurIPS, ICML, and ACL.
• Proficient in Python, TensorFlow, PyTorch, and other relevant AI and machine learning frameworks.
• Experience with advanced techniques in fine-tuning, federated learning, and knowledge distillation for LLMs and multimodal models.
• Strong problem-solving skills and the ability to work in a fast-paced, dynamic environment.
• Excellent communication and collaboration skills, with experience mentoring and guiding junior team members.

😊 Benefits & Perks

💰 Competitive salary & stock options

🌎 Multi-cultural & diverse team

🎓 Numerous opportunities to present/attend top AI/OSS/industry conference

🦄 Rapid career development opportunities alongside the company

🏢 Central office in downtown Berlin, San Jose, Shenzhen, Beijing

⛱️ Free snacks & drinks, monthly team events, flexible working hours, home office options

💻 Macbooks & top-notch equipment

💼 Hiring Process

Candidates can expect the hiring process to follow the order below. Please keep in mind that candidates can be declined from the position at any stage of the process. 

- The first round is the CV screening, candidates will receive an email that contains a link for booking the next round. This process takes a maximum of one week.

- Qualified candidates will be invited to schedule a 30-minute screening call specifically on Zoom with one of our global recruiters. For engineering candidates, after this interview candidates will receive an email and be asked to complete an offline code challenge. On average the candidates can finish it in 30 minutes.

- Next, candidates will be invited to schedule Peer Interviews with team members from the relevant team. There are two rounds of Peer Interview, 1st is Technical Peer Interview and the 2nd is Team Peer Interview. For engineering candidates, the team will examine the quality of the offline challenge as well as you fundamental knowledge and coding skill during the Technical Peer Interview; one should also expect a live-coding challenge in 10 to 15 minutes. As long as candidates passed the Technical Peer Interview, they will be invited to talk with specific Team Lead in the Team Peer Interview stage. The interview will be more relevant to practical problem solving.

- Finally, candidates will be invited to schedule a 30-minute interview with CXO.

We will collect the feedback from all interviewers and make a decision in a maximum of two weeks (on average it takes 5 working days). Then the candidate will be invited to another 15-minute call with our recruiters to discuss the terms of the offer.

🙌 Who are we?

-A commercial open-source company that empowers businesses and developers to create cutting-edge neural search, generative AI, and multimodal services using state-of-the-art LMOps, MLOps, and cloud-native technologies

- Founded in Feb. 2020, raised $37.5M in 20 months. Now a global team of 65 with three offices: Berlin (HQ), Shenzhen, and Beijing.

- One of the high-valued & high-potential AI startups in the world, featured on Forbes DACH AI30 2020, CBInsights AI 100 2021 & 2022.

✨ Who do we want?

- You are passionate about multimodal intelligence and making it accessible to everyone.

- You want to work with the latest technologies and are fascinated by AI/ML.

- You are a fast learner and a team player and enjoy working in an async, distributed environment.

- You are proactive and take ownership of your projects.

- You have excellent communication skills in English.

💁 About this position

As a Web Developer Intern, you would get the opportunity in helping assist our engineering team in building Generative AI products to solve the innovative challenges of customers across different domains

Please, note that we are looking for someone that can join us in our Berlin office and that we are not offering visa sponsorship for this role at the moment.

Your main responsibilities would be:

• You will build Generative AI products to solve the innovative challenges of our customers across different domains
• You will work on AI Prompt Engineering Technology (Don't worry, the Jina team will support you to be an awesome Engineer. Please bring in your passion)
• Assist in building APIs, Security features, and Scalable solutions
• Assist in building innovative examples with Jina and publish blog posts

• We're looking for self-motivated and autonomous workers, who take ownership and initiative in their own work
• Individuals with >2 years of experience in TypeScript, JavaScript. Experience with Node.js is a plus
• Web Development knowledge and experience with Quasar and Vue.js.
• Knowledge of Git and version control
• Knowledge of other front-end frameworks (e.g. React Native, Bootstrap, jQuery) is a plus
• Knowledge of NoSQL and SQL databases is a plus
• Knowledge of Firebase or Cloud Platform would be advantageous

😊 Benefits & Perks

💰 Competitive salary

🌎 Multi-cultural & diverse team

🎓 Numerous opportunities to present/attend top AI/OSS/industry conference

🦄 Rapid career development opportunities alongside the company

🏢 Central office in downtown Berlin, San Jose, Shenzhen, Beijing

⛱️ Free snacks & drinks, monthly team events, flexible working hours, home office options

💻 Macbooks & top-notch equipment

💼 Hiring Process

Candidates can expect the hiring process to follow the order below. Please keep in mind that candidates can be declined from the position at any stage of the process. 

- The first round is the CV screening, candidates will receive an email that contains a link for booking the next round. This process takes a maximum of one week.

- Qualified candidates will be invited to schedule a 30-minute screening call specifically on Zoom with one of our global recruiters.

- Next, candidates will be invited to a Technical Peer Interview. During the interview, which will last 1 hour, the team will examine your fundamental knowledge and coding skills as well as your motivation to join Jina AI; one should also expect a live-coding challenge in 10 to 15 minutes.

We will collect the feedback from all interviewers and make a decision in a maximum of two weeks (on average it takes 5 working days). Then the candidate will be invited to another 15-minute call with our recruiters to discuss the terms of the offer.

Come build The Disney of the 21st Century with us! 🚀

At Inkitt, we believe every author should have an equal opportunity to succeed. Our mission is to discover hidden talents and turn them into globally successful authors. Traditional publishing often leaves authors behind with human editors responsible for selecting books fit for publication. Inkitt is a pioneer at the forefront of data-driven publishing. By inventing an algorithm which analyzes users' reading behavior to identify hits, we have removed subjectivity from the traditional publishing equation. This gives Inkitt the unique ability to discover hidden talents that might otherwise have gone unnoticed 🔎

Are you a builder? We are looking for the change-makers of the world; the people who build the blueprint anytime they are unsatisfied with the status quo. Come build The Disney of the 21st Century with us by developing our books, audiobooks, creation of games, TV shows and movies!

What you'll do:

• You will have ownership of key features of our author and reader platforms, with deep understanding of how those features are used and their impact on the business
• You will rapidly iterate on all aspects of those features - from UI and front-end models, to API powering them, as well as the underlying back-end systems responsible for data acquisition and processing
• You will architect for scale - both in terms of a massive volume of daily active users and the huge amounts of data processing required to power them
• You will stay on top of new developments in the fields of Machine Learning, Artificial Intelligence, Big Data, and constantly survey the vendors, open source projects, and emerging research and propose new ways to leverage those technologies
• Collaborate with key stakeholders, including Product, Content, Department Heads, and the Founder/CEO to develop feature plans and roadmaps 
• Work with Python, GoLang, JavaScript, Ruby, and other programming languages
• Balance speed of delivery, level of tech debt, building in house, and leveraging vendors/tools

• 4+ years of professional software development experience
• Expert-level in at least one back-end language and application development framework as well as desire to learn more
• Have examples of front-end feature ownership (web/mobile) and full-stack development/support of those features
• Strong knowledge of SQL
• Deep curiosity and can show examples of experimentation with emerging technologies
• Excellent communication skills and ability to explain complex concepts in simple language
• Embrace the value of rapid iteration based on user feedback and data
• Adaptable and able to quickly learn and jump between platforms, languages, and technologies

• 🚀 Stock options for all full-time employees! We believe everyone deserves a piece of ownership for when we become the Disney of the 21st Century
• 🚀 Newly launched 401k to help you save and invest in your future (US)
• 🚀 Health benefits that align with your local market, offering a variety of different coverages for medical, dental and vision 
• 🚀 A hybrid model in San Francisco and Berlin offices where 3 days per week are dedicated to in-person collaboration in parallel with remote work 
• 🚀 Professional coaching for People Managers and employees who have been with Inkitt for 2+ years
• 🚀 Dedicated budget for team-building events
• 🚀 Employee Referral Bonus
• 🚀 Free access to our Galatea App, get your read on 
• 🚀 Unlimited budget for self-development books, on us
• 🚀 Donation to charity of your choice on your work anniversary 
• 🚀 Stocked micro-kitchens with snacks and drinks to keep you energized 
• 🚀 Berlin'ers gym membership
• 🚀 Berlin'ers virtual assistant
• 🚀 Arguably the best perk? Getting to bring your fur-ever friend to our Berlin and San Francisco offices

• We're a well-funded, mission-driven, series B company with top-tier investors like NEA, HV Capital, and Kleiner Perkins. Recently, Inkitt has raised $59 million, which is one of the largest Series B funding rounds on record for a Berlin-based business. We believe we provide authors with a platform that fosters their passion for writing and gives them the chance to be discovered 🪴
• We're the 8th fastest-growing company in Europe, and 1st in Germany!

At Inkitt, we strive to build a company culture and provide employment opportunities based on diversity and inclusion. We believe every author should have an equal opportunity to succeed, as should our team members. As a growing team from 20+ countries, we welcome everyone to apply. 

We look forward to hearing from you!

Check out our Careers Blog 💼

Follow us on Instagram & LinkedIn! 💻 

🙌 Who are we?

-A commercial open-source company that empowers businesses and developers to create cutting-edge neural search, generative AI, and multimodal services using state-of-the-art LMOps, MLOps, and cloud-native technologies

- Founded in Feb. 2020, raised $37.5M in 20 months. Now a global team of 65 with three offices: Berlin (HQ), Shenzhen, and Beijing.

- One of the high-valued & high-potential AI startups in the world, featured on Forbes DACH AI30 2020, CBInsights AI 100 2021 & 2022.

✨ Who do we want?

- You are passionate about multimodal intelligence and making it accessible to everyone.

- You want to work with the latest technologies and are fascinated by AI/ML.

- You are a fast learner and a team player and enjoy working in an async, distributed environment.

- You are proactive and take ownership of your projects.

- You have excellent communication skills in English.

💁 About this position

We are seeking a highly skilled and experienced Head of Research to lead our research team at Jina AI, a cutting-edge multimodal AI startup. We specialize in developing and fine-tuning Large Language Models (LLMs) such as GPT, BERT, and Transformer architectures for resource-constrained settings, including on-prem, privacy-preserved, and low VRAM environments.

With a team of 60 talented individuals and $38M in Series A funding, the Head of Research will play a critical role in driving our mission to make breakthroughs in AI technology.

Responsibilities

• Set the strategic direction for the research team, define the overall research agenda, and align it with our company's focus on LLMs, multimodal models, and resource-constrained settings.
• Lead, mentor, and manage a team of research scientists and engineers, fostering a collaborative and innovative work environment.
• Drive collaborations with external partners, including universities, research institutes, and industry partners, to enhance our research capabilities and maintain our competitive edge.
• Oversee the development and implementation of new AI algorithms, techniques, and models using state-of-the-art approaches such as fine-tuning methods, federated learning, and knowledge distillation.
• Communicate research findings and advancements to both internal and external stakeholders, including presenting at conferences like NeurIPS, ICML, and ACL, publishing papers, and sharing insights with the broader AI community.
• Monitor industry trends, competitor activities, and emerging technologies to ensure our research efforts remain relevant and cutting-edge.

• PhD in Computer Science, Artificial Intelligence, or a related field.
• 10+ years of experience in AI research, with a focus on LLMs and multimodal models.
• Demonstrated experience leading and managing research teams.
• Strong track record of published research and conference presentations in relevant fields, particularly at top-tier conferences such as NeurIPS, ICML, and ACL.
• Experience in collaborating with external research partners and stakeholders.
• Proficient in Python, TensorFlow, PyTorch, and other relevant AI and machine learning frameworks.
• Excellent communication, leadership, and problem-solving skills.

😊 Benefits & Perks

💰 Competitive salary & stock options

🌎 Multi-cultural & diverse team

🎓 Numerous opportunities to present/attend top AI/OSS/industry conference

🦄 Rapid career development opportunities alongside the company

🏢 Central office in downtown Berlin, San Jose, Shenzhen, Beijing

⛱️ Free snacks & drinks, monthly team events, flexible working hours, home office options

💻 Macbooks & top-notch equipment

💼 Hiring Process

Candidates can expect the hiring process to follow the order below. Please keep in mind that candidates can be declined from the position at any stage of the process. 

- The first round is the CV screening, candidates will receive an email that contains a link for booking the next round. This process takes a maximum of one week.

- Qualified candidates will be invited to schedule a 30-minute screening call specifically on Zoom with one of our global recruiters. For engineering candidates, after this interview candidates will receive an email and be asked to complete an offline code challenge. On average the candidates can finish it in 30 minutes.

- Next, candidates will be invited to schedule Peer Interviews with team members from the relevant team. There are two rounds of Peer Interview, 1st is Technical Peer Interview and the 2nd is Team Peer Interview. For engineering candidates, the team will examine the quality of the offline challenge as well as you fundamental knowledge and coding skill during the Technical Peer Interview; one should also expect a live-coding challenge in 10 to 15 minutes. As long as candidates passed the Technical Peer Interview, they will be invited to talk with specific Team Lead in the Team Peer Interview stage. The interview will be more relevant to practical problem solving.

- Finally, candidates will be invited to schedule a 30-minute interview with CXO.

We will collect the feedback from all interviewers and make a decision in a maximum of two weeks (on average it takes 5 working days). Then the candidate will be invited to another 15-minute call with our recruiters to discuss the terms of the offer.

Are you tired of academia? Do you get more satisfaction from delivering business results and great questions instead of producing research papers? Are you building a deep intuition about data and how to define success before going deep with algorithms? If you're a builder who is fearless in challenging conventions and bringing new ideas to the table, we want to hear from you! To bring our tailor-made tools for the needs of the movie industry to the very next level.

Own the machine room of the data products driving our business:

• Improve our automated campaign steering and drive home every flight on target and on time.
• Work on our mean hybrid interest signals data machine. 
• And advance our targeting by extracting every ounce of entertainment intelligence from our recommendation system based on massive user and item data. 

• You are an expert in machine learning and data science, but you see yourself more as a solutions engineer than a scientist. 
• You get satisfaction from delivering business results and asking great questions rather than from producing research papers.
• A system thinker who intuitively understands data and defines success well before diving into algorithms.

• Don't start from scratch. Draw from years of data engineering excellence and a treasure trove of meaningful quality data you can model on from day one. Iterate with boring technology and keep it simple. Snowflake, Python, Pytorch, Scipy, XGBoost. You'll start introducing more complexity where it makes sense.
• Build prototypes based on smart assumptions in three days instead of planning to outperform the SoTA in three months.
• Understand our rich internal Recommendations-ML-Engine to pull from. Work on classical (non-)linear optimization problems through tabular modeling, forecasting, normalization, and NLP. 
• Steal liberally from basic research instead of attempting it yourself.

While a solid technical background is crucial, we are looking for someone who is not just a scientist or nerd but also can think strategically and work effectively with different stakeholders in JustWatch. If you have the personality, skills, and experience we are looking for, and if you are genuinely excited about the opportunity to drive business growth through machine learning and data science, we want to hear from you!

How to apply

Show your interest in any way that works for you; we simplified the application process - send us whatever you have or just your Linkedin and a brief message explaining why you are an excellent fit for this role.  

If you have any questions, you can contact me at tim.jagodzinski@justwatch.com. (For your actual application, please use the provided form)

JustWatch takes diversity and equal opportunity seriously. We commit to being inclusive. Our goal is to build a team that represents a variety of backgrounds, perspectives, and skills. We embrace our entrepreneurial responsibilities. Through our 6-figure environmental and social impact budget, we offset every employee's carbon footprint, give back to the community, support causes that matter, and have recently implemented a well-being and mental health program. 

Your professor is too slow, and you want to deliver real-world value while learning from doing? Are you looking to jumpstart your career and learn how to be an independent, self-driven solutions engineer? 

Then we are looking for you! We want to help you to develop your system thinking and intuition about data. We will teach you how to make smart assumptions and dive into solving problems instead of overanalyzing a situation. All you need to bring to the table is your personal, honest ambition to deliver something great to our customers.

What you will be helping us with, among other things:

• Improve our automated campaign steering driving home every flight, on target, on time.
• Build a mean hybrid interest signals data machine with us. 
• Understand our rich internal Recommendations-ML-Engine. Work on classical (non-)linear optimization problems through tabular modeling, forecasting, normalization, and NLP. 
• Extract every ounce of entertainment intelligence from our recommendation system based on massive user and item data. 
• Draw from years of data engineering excellence and a treasure trove of outstanding quality data you can model on from day one.
• Iterate with boring technology to keep solutions simple. Snowflake, Python, Pytorch, Scipy, XGBoost. 
• Build prototypes based on smart assumptions in three days to outperform the SoTA in three months.
• Steal liberally from basic research instead of attempting it yourself. 

• Currently enrolled in a Bachelor's or Master's program in Computer Science, Statistics, Mathematics, or a related field.
• You will stay enrolled at a German university for at least one year.
• Excellent problem-solving and critical-thinking skills.
• Ability to work independently and in a team environment.
• Excellent communication and interpersonal skills.

• An exciting and challenging work environment where you can learn and grow.
• The chance to collaborate with a team of experienced machine learning and data science professionals.
• A flexible schedule that works with your academic commitments.

While a solid technical background is crucial, we are looking for someone who is not just a scientist or nerd. If you have the personality, and skills we are looking for, and if you are genuinely excited about the opportunity to drive business growth through machine learning and data science, we want to hear from you!

JustWatch takes diversity and equal opportunity seriously. We commit to being inclusive. Our goal is to build a team that represents a variety of backgrounds, perspectives, and skills. We embrace our entrepreneurial responsibilities. Through our 6-figure environmental and social impact budget, we offset every employee's carbon footprint, give back to the community, support causes that matter, and have recently implemented a wellbeing and mental health program. 

How to apply

Show your interest in any way that works for you; we simplified the application process - send us whatever you have or just your Linkedin and a brief message explaining why you are an excellent fit for this role.  

This is the process:

Cultural interview (45 min)

Do we fit together? Let's understand who we are and what drives us forward. We will dive into company culture and the question you have about JustWatch.

Technical interview (60 min)

You will meet our CTO, Dom. He will evaluate your technical understanding. This meeting is also your chance to figure out more about our technology.

Technical task (60 min)

After the technical interview, we will provide you with a small take-home task, which Dom will discuss afterward.

Are you interested in defining how AI shapes the future of work? Cresta is on a mission to make every knowledge worker 100x as effective, 10x faster, and 10x better. We apply AI to improve Call Center operations with our real-time agent assist product as well as our suite of post-call analytics and coaching.

We are a Silicon Valley company, spun out of the Stanford AI lab and are co-founded by Sebastian Thrun, who is the most successful German in Silicon Valley (co-founder and CEO of Google-X, Waymo, Udacity, Kitty Hawk, and more). Cresta launched in 2020. Since then, we’ve grown revenue and our team by 300%. We’ve assembled a world-class team of AI and ML experts, go-to-market leaders, top-tier investors, and advisors including Andreessen Horowitz, Greylock Partners, Sequoia Capital, and former AT&T CEO John Donovan. Our valued customers include brands like Intuit, Porsche, and Verizon and we have been recognized as a startup to watch by Business Insider, Forbes, and Gartner to name a few.

We are seeking an experienced Technical Product Owner (TPO) to manage our Cresta Director Platform. This platform serves as the foundation for our post-call solution and provides a central workstation for call center supervisors to configure and operate the Cresta real-time agent assistance. The ideal candidate will be customer-focused, technically proficient, and experienced in bridging the gap between customer needs and technological solutions.

Responsibilities

• Collaborate closely with Product Management, Customer Success, Customers, and other stakeholders to understand company objectives and strategic plans.
• Oversee the entire product life cycle from strategic planning to tactical activities.
• Lead the quarterly roadmap update and bi-weekly release planning, setting expectations for the delivery of new functionalities.
• Supervise and manage the product backlog, ensuring an adequate level of detail and priority is defined to maximize the impact of the engineering team.
• Collaborate with engineers to create engineering designs for complex changes.
• Validate developed features to ensure they meet customer needs. Work with the QA team to ensure that product changes are thoroughly tested as required.
• Ensure customer-facing, as well as Cresta-internal documentation, is readily available with each release.
• Coordinate the rollout of major product changes across all customers.
• For significant new features, lead the rollout directly with the pilot customer.

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
• Minimum of 5 years of product management, product owner, or a similar role in SaaS companies.
• Domain knowledge for call centers is preferred.
• Proven experience overseeing the design, development, and launch of successful software products.
• Solid understanding of Agile methodologies, technical understanding of products, and up-to-date with industry standards and best practices.
• Excellent communication skills, both verbal and written, with the ability to influence cross-functional teams.
• The confidence to have your ideas challenged without feeling personally challenged.

If you want to make an impact with an amazing product, want to improve your tech skills by working with other exceptional engineers, and like to be part of an amazing international team, then you should join us. We pay an attractive salary and with the Cresta stock options, you can benefit from the company's growth.