Role & Team

As a Data Engineering Manager, you will lead across several cross-functional teams, managing up to ~10 data engineers and GIS specialists. You will support teams working on data processing and pipelines to enable ML-powered product capabilities.

Our product teams are cross functional and will typically include product managers, designers, engineers and subject matter experts relating to the team’s domain.

You will be accountable for the technical direction and delivery outcomes of your area. You will challenge your teams to pursue ambitious goals while providing a high level of support — growing engineering talent and fostering a highly collaborative, team-based environment where people can do great work.

Your primary focus will be on building high-performing teams and driving results through others. You will not be expected to spend significant time doing hands-on coding; however, you will be expected to dive deep technically when required and leverage your experience to support strong technical decision-making.

Time zone requirement: Europe (GMT/WET, CET, EET) and Eastern North America (NST, AST, EST)

What You'll Do

• Enable our data engineers to become highly productive members of their cross-functional teams, empowering them to ship high-quality, reliable data platforms and pipelines on a daily basis.
• Grow the teams by attracting great talent from your network.
• Foster an inclusive and caring culture where everyone can do their best work.
• Provide regular 1:1 coaching and feedback to tap into the potential of all your team members and help them thrive and reach their aspirations.
• Be a strategic partner to product managers, machine learning engineers, and other stakeholders within your domains and ensure that we are making the correct data architecture and platform decisions that balance short and long term goals.
• Ensure suitability of the data architecture, pipelines, and data models within your domains to enable longer term product, analytics, and machine learning goals.
• Work closely with the other Product & Engineering leaders on strategy, technology and people, including improving our data engineering practices and introducing capabilities that can accelerate data access, reliability, and unlock new product and data-driven opportunities

Skills & Experience

• Experience working in a high growth scaleup environment
• Passionate about climate
• Product minded and able to demonstrate significant impact you have had on a business through the application of data platforms and data-driven systems
• 2+ years experience leading and managing data engineers across multiple teams
• Experience working with the following (or similar) technologies: Python, SQL, data pipeline orchestration tools (e.g., Airflow, Dagster), data warehouses/lakehouses, Postgres DB, data pipelines
• Ability to unblock your team by contributing at a senior engineering level (e.g., reviewing data models, debugging pipelines, guiding architecture). How hands-on you'll be in this role will depend on team size and maturity
• Comfortable working in a build it, run it environment (GCP, cloud run, grafana, k8s) - or similar, with an understanding of data reliability, observability, and pipeline operations
• Strong leadership skills with the ability to mentor and coach engineers at all levels
• Excellent communication skills and ability to collaborate effectively in a cross-functional team environment
• Passion for learning and staying updated with evolving technologies and industry trends, particularly in data engineering and data infrastructure

Nice To Have

• Experience working with maps/imagery/geospatial domains  

Note: We believe that all people are capable of great things. We encourage you to apply even if you do not meet all of the requirements that are listed within this job description.

What We Offer

• Competitive, location-specific compensation and benefits 
• Flexible, autonomous and collaborative working environment rooted in trust - we build our work days around our lives, not the other way around
• Home office stipend, coworking and ongoing education budgets 
• A company culture that genuinely embodies each of our core values
• To be part of truly mission-driven work that reduces wildfires, protects earth’s natural resources and helps solve our climate crisis

Role & Team

As an ML Engineering Manager, you will lead across several cross-functional teams, managing up to ~10 machine learning engineers and data scientists. You will support teams working on data- and machine-learning-driven product capabilities.

Our product teams are cross functional and will typically include product managers, designers, engineers and subject matter experts relating to the team’s domain.

You will be accountable for the technical direction and delivery outcomes of your area. You will challenge your teams to pursue ambitious goals while providing a high level of support — growing engineering talent and fostering a highly collaborative, team-based environment where people can do great work.

Your primary focus will be on building high-performing teams and driving results through others. You will not be expected to spend significant time doing hands-on coding; however, you will be expected to dive deep technically when required and leverage your experience to support strong technical decision-making.

Time zone requirement: Europe (GMT/WET, CET, EET) and Eastern North America (NST, AST, EST)

What You'll Do

• Enable our Machine Learning and data teams to operate as highly productive, cross-functional teams delivering high-quality ML-driven capabilities
• Support teams working with satellite imagery and geospatial datasets, balancing experimentation, iteration, and ongoing improvement of existing solutions
• Grow the teams by attracting and hiring great Data and ML talent
• Foster an inclusive, supportive, and caring culture where everyone can do their best work
• Provide regular 1:1 coaching and feedback to help others thrive, grow, and reach their aspirations
• Act as a strategic partner to Product Managers within your domains, ensuring technical decisions balance short- and long-term goals
• Ensure the technical approaches within your domains support future product and modelling needs
• Work closely with other Product, Design and Engineering leaders on strategy, technology, and people
• Help evolve Data and ML practices and introduce ways of working that improve collaboration, delivery, and learning

Skills & Experience

• 8+ years of professional experience building ML- or data-driven systems, at least 3 years’ experience leading and managing ML or data-focused teams
• Passionate about climate and the role technology can play in addressing environmental challenges
• Experience working in a high-growth scale-up or startup environment
• Product-minded, with the ability to demonstrate meaningful business impact through technology
• Sufficient technical depth in machine learning, data systems, or applied ML to guide teams and challenge decisions
• Experience working with python-based ML or data workflows and collaborating closely with data scientists
• Strong leadership skills, with a coaching mindset and the ability to support engineers and data scientists at all levels
• Excellent communication skills and the ability to collaborate effectively in cross-functional environments
• Passion for learning and staying current with evolving technologies and industry trend

Nice To Have

• Engineering mindset or background, with experience applying software engineering best practices to data and ML systems (e.g., reproducibility, testing, monitoring, and production deployments)

Note: We believe that all people are capable of great things. We encourage you to apply even if you do not meet all of the requirements that are listed within this job description.

What We Offer

• Competitive, location-specific compensation and benefits 
• Flexible, autonomous and collaborative working environment rooted in trust - we build our work days around our lives, not the other way around
• Home office stipend, coworking and ongoing education budgets 
• A company culture that genuinely embodies each of our core values
• To be part of truly mission-driven work that reduces wildfires, protects earth’s natural resources and helps solve our climate crisis

The Role

As the CTO of Overstory, you will lead and scale a world-class engineering team that reduces the risk of wildfires and power outages around the world. This is a rare opportunity for a seasoned engineering leader to help guide a commercially successful climate-tech company through its next stage of growth.

Following our Series B, we’re entering a phase of rapid expansion. You will define a compelling technical strategy and build the team to deliver it. This role requires someone who can zoom in and out seamlessly — rolling up your sleeves to solve complex technical problems while also communicating effectively with the board.

Our product sits at the intersection of AI and remote sensing — fields evolving at light speed. The work is exciting, mission-driven, and core to transforming the electric utility industry and creating a more resilient grid. But it comes with ambiguity. We’re looking for someone energized by the unknown, eager to build products customers love through bold, creative approaches. You must be comfortable balancing the needs of a growing business with building scalable solutions for the future — and be ready to move with urgency on both.

Time zone requirement: Europe (GMT/WET, CET) and Eastern United States (EST)

What A Successful Candidate Looks Like

You’re an entrepreneurial startup leader with a track record of leading engineering teams from Series A through Series C and beyond with a mix of boldness and empathy. You understand the ups and downs that are normal at VC-backed startups. You know how to inspire global teams with an exciting vision while offering them the hands-on support to bring it to life. 

You have a strong network to tap, and you are bold in your recruiting. You’re not afraid to hire people who know more than you and to stretch for top talent, and you understand that recruiting is a top priority that requires constant networking and attention. You will build a diverse team that has a high-performing, inclusive, and caring culture.

What You’ll Do

• Lead the development of all of Overstory’s technology, including our software product, our ML models, the internal tools we use and the platform that underlies it all.
• Work in close partnership with our VP Product & Strategy to propel the business forward with the product we are developing. You’ll work to deeply understand our customers' problems so that you can lead bold engineering initiatives to solve them.
• Build a high-performing and diverse engineering team that works remotely from multiple countries, and across multiple time zones.
• Create a compelling technical vision and translate that into a strategy for the next 12-36 months.
• Lead highly productive cross-functional teams that ship a high-quality product on a daily basis. 
• Foster an inclusive culture where everyone can do their best work.
• Create strong lines of communication within your team and partnerships with other key parts of the business.

About You

Traits we value:

• Boldness: You’re not afraid to make hard decisions and take risks, and you always act with urgency. 
• Mission-driven: You care deeply about building great products that help communities adapt to climate change by creating a more resilient electrical grid.
• Empathy: You can attract and develop a diverse team, and you are inclusive in your approach to leadership. 
• Listening: You lead with inquiry. You make people on your own team and across the company feel heard.
• Curiosity: Learning excites you, and you’re not afraid to admit what you don’t know.
• Clarity: You’re a simplifier, not a complicator, and you can communicate clearly to a broad audience without using jargon. 
• Collaborative spirit: Team above ego, and you’re never afraid to get your hands dirty.

Experience we value:

• You have managed a team of 70+ people.
• You have been on a VC-backed startup journey from Series A through Series C or later, and you know how to scale a team successfully through those transitions. You value the entrepreneurial “get it done fast” spirit of the early days, while also setting a standard for excellence that will scale to later stages.
• You have experience working on a complex, ML-based product. Bonus points for geospatial or remote sensing experience. 
• You have a deep understanding of software development processes and are product-centric in the way you think about building technology. 
• You have experienced the value of cross-functional teams where engineering, product and design work side-by-side. 
• You have managed remote teams.
• You have managed global teams.

What We Offer

• Competitive, location-specific compensation and benefits 
• Flexible, autonomous and collaborative working environment rooted in trust - we build our work days around our lives, not the other way around
• Home office stipend, coworking and ongoing education budgets 
• A company culture that genuinely embodies each of our core values
• To be part of truly mission-driven work that reduces wildfires, protects earth’s natural resources and helps solve our climate crisis

Role & Team

We’re looking for a Director of Platform & Infrastructure to own and evolve our core engineering foundations. Reporting to our VP of Product Engineering, this role will lead SRE, MLOps, and Platform teams with a mandate to create leverage across the entire organization.

As a scaling startup, we’re evolving from early-stage infrastructure to a more mature, reliable platform that can support rapid product development and growing customer demand. This role is critical in helping us make that transition — building systems, standards, and teams that enable speed today while laying the foundation for long-term scale.

Partnering closely with product, data, and application engineering teams, you will set the technical vision, define best practices, and ensure our infrastructure enables teams to move fast with confidence.

This is a highly cross-functional leadership role for someone who combines deep technical judgment with a systems mindset, strong people leadership, and a passion for building platforms that empower others.

Time zone requirement: Europe (GMT/WET, CET, EET) and Eastern North America (NST, AST, EST)

What You'll Do 

• Own the platform strategy across Platform, MLOps, and SRE, aligning it with company and product goals
• Grow senior ICs (and eventually manages) across multiple teams, fostering strong technical leadership and healthy team cultures
• Define and evolve our platform vision, including developer experience, internal tooling, CI/CD, infrastructure, observability, and reliability standards
• Oversee MLOps systems that support model development, training, deployment, monitoring, and governance in production
• Partner cross-functionally with Product, ML, Data, Security, and Compliance to ensure the platform meets current and future needs
• Balance speed and stability, making thoughtful tradeoffs between innovation, cost, reliability, and operational excellence
• Set metrics and accountability for platform performance, reliability, and developer productivity

Skills & Experience

• 10+ years experience leading platform, infrastructure, or reliability teams in a scaling startup environment, including navigating ambiguity, rapid growth, and the transition from early-stage systems to more mature, repeatable platforms
• Strong understanding of cloud-native infrastructure (GCP strongly preferred), Kubernetes, CI/CD, and modern DevOps practices
• Experience supporting machine learning systems in production, including model deployment, monitoring, and lifecycle management
• A track record of building reliable, scalable systems used by fast-moving product teams
• Excellent people leadership skills — you know how to coach managers, grow talent, and build inclusive, high-performing teams
• Strong communication skills and the ability to influence across org boundaries
• Experience in data- or ML-heavy products

Nice To Have

• Experience with geospatial data, image processing or mapping technology 

Note: We believe that all people are capable of great things. We encourage you to apply even if you do not meet all of the requirements that are listed within this job description.

What We Offer

• Competitive, location-specific compensation and benefits.  
• Flexible, autonomous and collaborative working environment rooted in trust - we build our work days around our lives, not the other way around
• Home office stipend, coworking and ongoing education budgets 
• A company culture that genuinely embodies each of our core values
• To be part of truly mission-driven work that reduces wildfires, protects earth’s natural resources and helps solve our climate crisis

About the Role:
We’re looking for a Backend Engineer to contribute to a next-generation security initiative. You’ll be part of a small, highly technical team working on novel approaches to secure systems - with a focus on cryptography, automation, and AI-powered analysis. You’ll work closely with senior engineers and contribute hands-on to the codebase across the stack. This role involves hands-on development, learning opportunities, and collaboration across engineering, product, and design.

Day to Day:

• Contribute to the design, development, and delivery of features across the product
• Write clean, maintainable code for back-end systems deployed in AWS or GCP
• Collaborate with AI and cryptography specialists
• Work with the product manager to understand requirements and help the team plan architecture, data flows, API specs, and testing strategies
• Follow established engineering practices and participate in team discussions around process and quality
• Participate in customer-driven development and iterate based on feedback
• Write automated tests for load, performance, and error handling

What you bring to the table:

• 3+ years of hands-on software engineering experience for backend development
• Excellent TypeScript and Node.js coding experience
• AWS experience in containers (EKS, ECS) and serverless systems
• Relational, key/value, and graph datastore experience with schema management
• API design, data modeling, secure service development, database systems
• Has a focus on quality code, error handling, and high availability
• A thoughtful, pragmatic approach to solving technical problems in a fast-paced environment
• At least upper-intermediate level of spoken and written English

Extra Credit:

• Versed in Python coding and environments
• Experience with GCP systems
• Experience with applied cryptography, especially key management, TLS, or post-quantum algorithms
• Familiarity with agent-based architectures or systems that scan and orchestrate actions across distributed environments
• Knowledge of AI/ML systems, particularly LLM integration or agent-style reasoning patterns
• Experience managing LLM agents to increase both speed and quality of code generation and tests
• Exposure to security tools, vulnerability detection platforms, or compliance automation
• Prior experience working on developer-facing or infrastructure-heavy products

Join Us as a Graphic Designer with a Focus on Data Visualization!

At INFUSE Academy, we turn complex ideas into visuals that make people stop and think. We are looking for a Graphic Designer who leads with clarity, communicates through imagery, and can distill a dense concept into something a learner understands at a glance.

If you can explain the impact of climate change in one image, you are the kind of thinker we want.

What you will bring:

• Proficiency in Figma, Illustrator, and Photoshop
• Solid foundation in composition, typography, and color theory
• Experience with data visualization: charts, infographics, diagrams that inform rather than decorate
• A visual storytelling instinct: you find the narrative in the numbers
• Genuine enthusiasm for AI tools -- you follow what is happening, you experiment, and you actively look for ways to co-create with AI rather than just use it
• Attention to detail and the self-organization to manage multiple projects

What you will do:

• Translate instructional content into visual concepts and storyboards
• Design static graphics, infographics, and course assets that carry meaning on their own
• Collaborate with instructional designers to find the best visual angle for every learning objective
• Co-create with AI tools as a real part of your design process -- bringing new ideas, accelerating output, and pushing what is possible

What you’ll love about working with us:

• A fun, diverse team of professionals from every corner of the globe
• A never-ending learning journey (because who wants to stop growing?)
• Career growth opportunities with regular reviews, your success is our success!
• Timely, market-range compensation (we make sure your wallet’s happy, too)
• Paid time off for U.S. public holidays, because rest is as important as work
• Summer Fridays with shorter hours, because everyone deserves a little sunshine
• Access to top-tier tools like Adobe and Figma Pro, so you can create like a pro

If you recognize yourself in this and are up to the challenge, we’d be happy to hear from you!

We are an Equal Opportunity Employer. We make hiring decisions based on qualifications, merit, and business needs. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, genetic information, or any other characteristic protected under applicable law. We welcome applicants from all backgrounds and believe that diversity of experience, culture, and perspective makes us stronger.

Inbank is a financial technology company with an EU banking license that connects merchants, consumers, and financial institutions on its next-generation embedded finance platform. Our financing solutions are embedded seamlessly into the shopping journey of 6,000+ retailers. With a focus on innovation and growth, we are looking for talented people to join our team of 450+ working across our offices in Estonia, Latvia, Lithuania, Poland, and the Czech Republic.

Due to our ambitious AI integration goals, we are looking for an AI Platform Engineer to join our Product & Technology unit in Tallinn. 

At Inbank, AI is already embedded in our products and workflows—you won’t be starting from scratch. Instead, you will build on an existing foundation and scale its impact across the organization.

This is a hands-on role with strong strategic impact, working closely with the CPTO & Head of Tech Platform to shape and drive our AI platform strategy. You’ll play a key role in guiding decisions across architecture, tooling, and cloud infrastructure, helping turn vision into execution. In doing so, you will connect AI strategy to tangible business value - ensuring strong ROI while upholding banking-grade security, data protection (DLP), and regulatory compliance.

What you will be doing?

• Take ownership of how AI evolves at Inbank—shaping the strategy and turning ideas into production-ready solutions.
• Work closely with the CPTO & Head of Tech Platform to build and evolve Inbank’s AI ecosystem, making key decisions on LLM architecture (internal vs. external), agentic tooling, and cloud infrastructure.
• Evaluate the current landscape of tools and applications to identify what delivers value, where improvements are needed, and where AI and automation can have the greatest impact.
• Design, prototype, and implement AI solutions (PoCs), writing code and configuring services to validate ideas quickly and scale successful ones into production.
• Own AI as an internal product—managing vendor costs, optimizing model usage, and ensuring every initiative delivers measurable business value and ROI.
• Build a secure and scalable AI foundation for a regulated environment, ensuring GDPR compliance, enforcing data loss prevention (DLP), and maintaining strong auditability.
• Enable engineers across the organization by providing the right toolkits, frameworks, MCP servers, and best practices for safe and effective AI adoption.
• Establish clear guidelines and governance for AI usage, working closely with Risk, Oversight, and senior leadership to ensure compliance and alignment with company priorities.
• Contribute to the long-term vision of embedding AI across Inbank, making it a secure, scalable, and impactful part of everyday work.

Ideally, you would have:

• A strong background in machine learning, data engineering, or similar, with a solid understanding of how models and data systems work in practice.
• The ability to move seamlessly between big-picture thinking and hands-on execution.
• Experience working with modern AI ecosystems, including LLMs and cloud-based platforms.
• A sharp eye for data quality and an understanding of how it impacts the success of AI solutions.
• A practical mindset for turning technical capabilities into real business impact and measurable ROI.
• Experience working in environments where security, privacy, and regulatory requirements matter (fintech is a plus, not a must).
• Confidence engaging with senior stakeholders, challenging ideas, and influencing decisions.
• The ability to communicate complex topics in a clear, structured, and convincing way.
• A proactive, ownership-driven approach and comfort operating in a fast-moving, sometimes ambiguous environment.

Why you’ll enjoy working here?

• You'll be taking ownership within an already active AI ecosystem, working alongside top leadership to elevate it further.
• Competitive salary aligned with your experience and expertise.
• Wellbeing support, including sports compensation or additional health insurance.
• Extra vacation days starting from your third year with us.
• 6-week paid sabbatical after four years at Inbank for employees with strong performance.
• A challenging and inspiring environment where you have the autonomy to shape the AI backbone of a leading fintech.
• Dedicated learning and development budget to support your professional growth.
• Fun and connection through company-wide and team events.

Sounds like a fit? Apply and our recruitment team will be in touch. If you’re unsure but curious, apply anyway — we’re happy to explore together.

Location: Our Solutions Engineer, PerfectScale by DoiT, will be an integral part of our Solutions Engineering team in EMEA. This role is based remotely in the UK, Ireland, Netherlands, Sweden or Estonia.

Who We Are
DoiT is a global technology company empowering cloud-driven organizations to achieve business growth and innovation through strategic cloud utilization. We blend data, technology, and human expertise to ensure our customers operate in a well-architected and scalable state, from initial planning to full-scale production.

With extensive experience across various cloud environments, we possess deep specializations in critical areas such as Kubernetes, GenAI, and CloudOps. As a trusted and award-winning strategic partner of AWS, Google Cloud, and Microsoft Azure, we proudly support over 4,000 customers worldwide.

Our flagship offerings include DoiT Cloud Intelligence, which uniquely combines advanced technology with human insight, enabling us to solve complex multicloud challenges and drive significant efficiency for our clients, and PerfectScale for Kubernetes, a pioneering Kubernetes optimization and management solution. By integrating advanced algorithms and ML with built-in Kubernetes expertise, PerfectScale enables organizations to achieve unparalleled Kubernetes efficiency.

The PerfectScale for Kubernetes platform offers:

• A seamless and intuitive onboarding experience.
• A user-friendly interface for easy navigation and management.
• Unique easy to act on insights for achieving an optimal balanced state of Kubernetes performance and cost
• A powerful autonomous optimization engine that intelligently manages Kubernetes resource allocation with minimal human intervention.

The Opportunity
As a Solutions Engineer, PerfectScale by DoiT, you will be a pivotal technical leader, collaborating closely with our Account Executive team to deliver exceptional value throughout the customer journey, specifically focusing on our cutting-edge Kubernetes optimization capabilities.

Responsibilities:

• Technical Qualification & Discovery: Collaborating with the Account Executive to thoroughly understand the prospect's technical environment, Kubernetes challenges, cost optimization goals, and key business objectives through in-depth technical discovery sessions.
• Technical Validation & POC Leadership: Owning and driving the technical validation and Proof of Concepts (POCs) specifically for PerfectScale. This includes meticulous POC preparation, proactive management, and ensuring successful technical outcomes, demonstrating clear value and alignment with prospect requirements.
• Platform Demonstrations: Developing and delivering compelling and tailored PerfectScale platform demonstrations to prospects, effectively showcasing its capabilities and addressing their specific use cases and concerns.
• Business Case & ROI Development: Leveraging your analytical skills and deep understanding of Kubernetes to develop compelling business cases and robust ROI analyses that clearly articulate the tangible value, cost savings, and performance improvements achievable with PerfectScale.
• PerfectScale Expertise: Becoming the go-to expert within the company for PerfectScale, ensuring prospects achieve optimal results and a seamless implementation experience.
• Technical Win Ownership: Taking full ownership of the technical win for PerfectScale engagements, guiding prospects through the technical evaluation process, addressing all technical requirements, and building technical confidence in the solution.
• Event & Conference Presentations: Representing DoiT and PerfectScale at company events and industry conferences, delivering engaging presentations and demonstrations to a wider audience, showcasing our Kubernetes optimization expertise and platform capabilities.
• Accurate, timely documentation: Ensure timely entry of data into internal business support solutions.  Contribute to systems and tools to provide key business information and metrics to highlight performance and effectiveness.

We are seeking an individual who is not only passionate about Kubernetes optimization but also thrives on engaging technically with customers, solving their most pressing challenges related to Kubernetes cost and performance. This role offers the exciting opportunity to be at the forefront of innovation within the rapidly evolving Kubernetes ecosystem.

About You
You are an accomplished Solutions Engineer with a proven track record in a B2B SaaS environment, ideally with a strong emphasis on DevOps and Kubernetes solutions. You excel as a technical leader within a sales team and are enthusiastic about empowering companies to optimize their Kubernetes environments for maximum cost efficiency and performance through innovative solutions like PerfectScale. You are highly accountable for the technical success of all initiatives you are involved in and are driven to contribute to a high-performing sales organization that consistently wins in a competitive market. You are comfortable and thrive in a fast-paced, growing, collaborative, and entrepreneurial setting.

Qualifications

• 5+ years of experience in a Solutions Engineering role within a B2B SaaS software company, having a significant portion of that experience focused on selling to DevOps, Platform Engineering, SRE, or FinOps teams and directly addressing challenges related to Kubernetes or cloud cost management.
• Deep and demonstrable understanding of Kubernetes in various flavors (EKS, AKS, GKE, OpenShift) and associated DevOps best practices.
• Hands-on experience working with SaaS solutions focusing on cloud environments (observability, optimization, FinOps, Platform Engineering).
• Exceptional data analysis skills with a proven ability to analyze data from various monitoring solutions (e.g., Prometheus, Grafana, Datadog). This includes identifying key trends, outliers, correlations, and reconciliation needs to extract actionable insights.
• Strong track record of leveraging product data to construct compelling business cases and ROI justifications for prospective customers, clearly demonstrating the substantial cost savings and performance enhancements achievable through our solution.
• Exceptional ability to articulate complex Kubernetes concepts and PerfectScale functionalities in a clear, concise, and easily understandable manner to both technical and business audiences.
• Outstanding verbal, written, presentation, and interpersonal communication skills, with the confidence and expertise to present on sophisticated topics such as Kubernetes optimization strategies and the compelling value proposition of PerfectScale.
• Strong intellectual curiosity, exceptional problem-solving abilities, and a genuine passion for continuous learning and improvement within the dynamic field of Kubernetes optimization.
• Proven experience working with and presenting to executive-level prospects and customers on critical topics related to cloud cost management and Kubernetes strategy.
• Demonstrated experience with modern technical selling best practices and a successful track record in competitive sales environments, including the ability to contribute to and implement effective trial, demo, and RFP processes specifically tailored for Kubernetes optimization solutions like PerfectScale.
• Prior professional experience as a Kubernetes DevOps Engineer, Platform Engineer, SRE, or FinOps professional is a plus.
• A proven history of success in a fast-paced and scaling business, ideally within the cloud and/or Kubernetes management domain.

Are you a Do’er?
Be your truest self. Work on your terms. Make a difference. 

We are home to a global team of incredible talent who work remotely and have the flexibility to have a schedule that balances your work and home life. We embrace and support leveling up your skills professionally and personally.  

What does being a Do’er mean? We’re all about being entrepreneurial, pursuing knowledge, and having fun! Click here to learn more about our core values. 

Sounds too good to be true? Check out our Glassdoor Page.

We thought so too, but we’re here and happy we hit that ‘apply’ button. 

Full-time employee benefits include: 

• Unlimited Vacation
• Flexible Working Options
• Health Insurance
• Parental Leave
• Employee Stock Option Plan
• Home Office Allowance
• Professional Development Stipend 
• Peer Recognition Program

Many Do’ers, One Team
DoiT unites as Many Do’ers, One Team, where diversity is more than a goal—it's our strength. We actively cultivate an inclusive, equitable workplace, recognizing that each unique perspective enhances our innovation. By celebrating differences, we create an environment where every individual feels valued, contributing to our collective success. 

#LI-Remote

Inbank is a financial technology company with an EU banking license that connects merchants, consumers, and financial institutions on its next-generation embedded finance platform. Our financing solutions are embedded seamlessly into the shopping journey of 6,000+ retailers. This helps our merchant partners grow their businesses, while end customers benefit from a frictionless shopping experience wherever they are. With a focus on innovation and growth, we are looking for talented people to join our team of 440+ working across our offices in Estonia, Latvia, Lithuania, Poland, and the Czech Republic.

Due to our growth ambitions, we are looking for a talented Credit Risk Underwriting Modeller to join our Tallin office. In this hands-on role, you will help improve how we assess credit risk and ensure the profitability of our products by developing and refining statistical models used in credit decisioning.

You will work closely with credit risk specialists and technology teams, combining data, business understanding, and modeling techniques to build effective underwriting solutions. In this role, your work will have a direct impact on business performance. By improving credit decision models, you will contribute to better risk management and stronger profitability—playing a key role in shaping data-driven decisions across the organization.

What will you be doing?

• Develop, improve, and maintain statistical models used in credit underwriting.
• Own the end-to-end modeling process: from data collection and preparation to model development, validation, and monitoring.
• Analyze and combine internal and external data sources to enhance model performance.
• Continuously monitor models and optimize them for accuracy, risk management, and profitability.
• Collaborate with the technology team to improve automated credit decision systems (decision engine, data integrations, workflows).
• Work closely with credit risk underwriters and product managers to translate business needs into effective modeling solutions.
• Prepare analytical reports and ensure clear model documentation and transparency.
• Stay up to date with industry trends and best practices in credit risk modeling.

 Ideally, you would have:

• 3+ years of proven experience in a similar role (statistical, predictive, or data modeling); experience in fintech or banking is a plus.
• Solid understanding of statistical methods and machine learning techniques, with the ability to apply them in practice.
• Strong analytical mindset and confidence working with complex, real-world datasets.
• Strong SQL skills, with hands-on experience in data extraction and manipulation.
• Proficiency in Python, R, or similar tools.
• Ability to work independently while collaborating effectively with cross-functional teams.
• Clear communication skills in English, both written and spoken.

What you’ll get in return?

• A competitive salary tailored to your experience, along with a comprehensive benefits package.
• Wellbeing support through sports compensation or additional health insurance to help you stay active and healthy.
• A 6-week paid sabbatical after four years, recognising strong performance and long-term contribution.
• A dynamic and inspiring work environment where you’re encouraged to grow and take ownership of your work.
• Flexibility through a hybrid and autonomous way of working, built on trust and accountability.
• The opportunity to collaborate with talented international colleagues across multiple markets.
• Regular team events and additional perks that make work more enjoyable and help celebrate successes together.

Sounds like a fit?

Apply, and our recruitment team will be in touch. If you’re unsure but curious, apply anyway - we’re happy to explore together.

We are looking for a Strategy & Operations Manager to join our Autonomous Driving team in Europe. You will play a pivotal role in driving strategic and operational excellence across one of the most complex and high-stakes programmes in the company - working across strategic decision making, financial planning, and cross-functional project management to bring our autonomous mobility vision to life.

With over 200 million customers in 50+ countries, Bolt is one of the fastest-growing tech companies in Europe and Africa. And it's all thanks to our people.

We believe in creating an inclusive environment where everyone is welcome, regardless of race, colour, religion, gender identity, sexual orientation, national origin, age, or disability.

Our ultimate goal is to make cities for people, not cars, and we need your help to achieve this mission!

As Strategy & Operations Manager, you will support the Chief of Staff and the Head of Autonomous Driving - turning ambiguous, high-priority challenges into structured plans and measurable outcomes. You will own critical workstreams that sit at the intersection of strategy, finance, and operations, working closely with internal teams and external stakeholders to keep the programme moving at pace.

This is not an execution-only role. You will shape how the team makes decisions, allocates resources, and presents itself externally - influencing outcomes that are fundamental to the future of the programme.

• Own the end-to-end project management for strategic projects. Coordinate across internal teams (Product, Engineering, Legal, Public Policy, Finance) and external advisors to prepare compelling business plans and management reports.
• Partner with senior leadership on strategic decision making by preparing market analyses (TAM, unit economics, competitive intelligence, regulatory landscape), detailed multi-scenario financial models and business cases.
• Own the annual and quarterly budgeting cycle for the Autonomous Driving programme. Track budget vs. actuals, identify variances, and drive corrective action. Coordinate with central FP&A and Accounting teams across the financial reporting cycles.
• Provide structured analysis and recommendations to support high-stakes decisions. Build frameworks for evaluating market opportunities, operational trade-offs, and investment priorities, and distil complex information into concise outputs for senior leadership.
• Act as the connective tissue between the Autonomous Driving team and the rest of the organisation to drive alignment and accelerate execution.
  

Experience with ML safety, explainability, or perception system robustness is nice to have.

• Significant experience (5-8+ years) in strategy, investment banking, management consulting, or a high-growth tech or venture environment.
• Strong financial modelling skills, with experience building business plans, scenario analyses etc.
• Proven track record managing complex, cross-functional projects with multiple stakeholders and competing priorities.
• Experience with institutional funding applications or grant management is a strong advantage.
• Exceptional written and verbal communication skills - able to translate complex analysis into clear, compelling narratives for senior audiences.
• Highly structured and self-directed, with the ability to operate with ambiguity and drive clarity independently.

Experience is great, but what we really look for is drive, intelligence, and integrity. So even if you don’t tick every box, please consider applying if you feel you’re the kind of person described above!

• Play a direct role in shaping the future of mobility.
• Impact millions of customers and partners in 600+ cities across 50+ countries.
• Work in fast-moving autonomous teams with some of the smartest people in the world.
• Accelerate your professional growth with unique career opportunities.
• Get a rewarding salary and stock option package that lets you focus on doing your best work.
• Enjoy the flexibility of working in a hybrid mode with a minimum of 2 days in the office each week to foster strong connections and teamwork.
• Take care of your physical and mental health with our wellness perks.

*Some perks may differ depending on your location and role.

We're looking for a Product Analyst to join our team and partner directly with Product and Engineering squads to turn data into actionable product insight. You'll sit within the Product Analytics team (Data Division), reporting to the Product Analytics Lead.

You’ll help us protect honest people online by:

• Partner with Product Managers and Engineering leads as an analytics partner, owning the data narrative for your product area(s)
• Design and deliver dashboards from product portfolio metrics to customer-level performance views
• Design, run, and analyse A/B tests and experiments providing rigorous statistical guidance on sample sizing, significance, and causal inference
• Conduct deep-dive investigations, e.g. product funnel diagnostics, or customer behaviour patterns
• Proactively identify patterns, anomalies, and opportunities in data and communicate findings clearly to stakeholders
• Support data governance initiatives

You are the right future Veriffian for the job if you:

•  Live in the data, and love simplifying complexity
• 3-5+ years of experience in a data analyst, product analytics, or data science role.
•  Extensive experience in SQL
• Solid understanding of A/B testing methodology, statistical significance, hypothesis testing, and causal inference
• Exposure to Python for data manipulation, ad-hoc analysis, and statistical modelling (pandas, scipy, etc.)
• Experience building dashboards
• Ability to translate complex analysis into clear, actionable recommendations for non-technical stakeholders

You’re an especially awesome match if you have:

• Advanced SQL
• Familiarity with dbt
• Experience with  a B2B SaaS or tech company
• Experience with identity verification, fraud detection, or fintech domains
• Exposure to predictive analytics or machine learning techniques
• Experience with data governance
• Experience with communicating to senior non-technical audiences

Location: Spain or Estonia Remote Only

 
We’re looking for a seasoned Data Scientist to architect the next generation of our campaign optimization systems. You will design and scale the logic that determines which users to target and which incentives to deploy to maximize investment efficiency. If you’re excited to apply Machine Learning and Causal Inference to drive global impact, join us!

 

 
 
With over 200 million users in 50+ countries, Bolt is one of the fastest-growing tech companies in Europe and Africa. And it's all thanks to our people.

We believe in creating an inclusive environment where everyone is welcome, regardless of race, colour, religion, gender identity, sexual orientation, national origin, age, or ability.

Our ultimate goal is to make cities for people, not cars. And we need your help on this mission!
 

 
 
You’ll own Bolt’s campaign optimization systems end-to-end, architecting the "brain" that determines how we allocate rider and driver incentives globally. As a Senior Data Scientist, you will be the driving force in elevating our technical standards, pioneering solutions that bridge the gap between academic research and product development. You will serve as a technical "North Star"—mentoring colleagues and setting the bar for rigorous, maintainable data products that directly shape the experience of over 200 million customers worldwide.
 

 
 
  

• Lead the technical vision for our campaign optimization roadmap, translating high-level objectives into data science products.
• Architect and deploy end-to-end uplift models and optimization systems that maximize our investment efficiency.
• Design and execute advanced experimentation frameworks to reliably measure campaign incrementality.
• Set the gold standard for technical excellence by championing rigorous statistical and engineering practices.
• Serve as a mentor and advisor on highly technical challenges.
• Partner with Product, Engineering, and Operations to identify opportunities and develop pragmatic solutions that solve intricate business problems.

 
 

• Pragmatic problem solver, able to work autonomously from research to production deployment.
• 5+ years of experience in applied ML; experience in a growth role (marketplace pricing or incentives) is a plus.
• Exceptional knowledge of ML, statistics with hands-on experience in causal inference/ML.
• Expert proficiency in Python and SQL.
• A natural mentor who enjoys leveling up those around you and can explain the "why" behind complex mathematical concepts.
   

 
Experience is great, but what we really look for is drive, intelligence, and integrity. So even if you don’t tick every box, please consider applying!
 

 
 

• Play a direct role in shaping the future of mobility.
• Impact millions of customers and partners in 600+ cities across 50+ countries.
• Work in fast-moving autonomous teams with some of the smartest people in the world.
• Accelerate your professional growth with unique career opportunities.
• Get a rewarding salary and stock option package that lets you focus on doing your best work.
• Enjoy the flexibility of working in a hybrid mode with a minimum of 3 days in the office each week to foster strong connections and teamwork.
• Take care of your physical and mental health with our wellness perks.
   

  *Some perks may differ depending on your location and role.

What is this role about?

As Head of Product, Servicing, you will make sure that all Bondora operations are loved by customers, fully automated, and competitive. This complex role spans numerous disciplines: operations, customer experience, ML/LLM, psychology, and technology. 

You’ll build a product  strategy around customer support, debt collections, KYC/AML, and execute it with a cross-functional team. You’ll also be a member of the Product Leadership team, building one of the strongest product engineering teams on the planet (not an understatement ;)).

Your main responsibilities will be:

• Discover, communicate, and execute a product strategy for operations  that will have customers choosing Bondora over competitors 
• Lead a cross-functional team of engineers, data scientists, product managers, designers, and operational specialists. You’ll be both the source of inspiration and a coach who turns team members into product experts capable of making great decisions for the customers and the company.
• Take ownership and drive company-level strategic initiatives. As the operations expert, you’ll often help shape areas outside of your direct responsibility.
• Coach a team of passionate business-focused product managers. At Bondora, we make time for best practices because they lead to great results, rather than just discussing them.
• As part of Product Leadership, build a product & engineering organization to be proud of. As you’ll be joining early, there’s still a lot of room to be opinionated and make it in your own image.
• Combine deep customer understanding (experience, psychology, incentives) and technology (automations, government and partner integrations, machine learning, large language models) to deliver customer love and operational efficiency.  

What you’ll bring:

• You’ve worked on operational problems in a consumer business.
• You have 5+ years of experience in leadership roles.
• You have a strong grasp of business fundamentals: unit economics, P&L, business models, etc.
• You have a deep understanding of technology and the possibilities it offers for automation.
• As a bonus, you might have worked on consumer credit products, LLMs, AML, Fraud, or Privacy.

What can you expect at Bondora? 

• Contribute to Bondora’s ambitious goal of reaching €1B in revenue by the end of 2026. Your skills and efforts will directly impact our growth trajectory and shape the future of our company.
• Our employees deserve the best. We recognize our people with a competitive salary and a generous benefits package (daily lunches in the office, monthly massage, five weeks of vacation, private healthcare compensation, €1,200 hobby grant, mental healthcare support, share options, and more!)
• We provide an environment that encourages your personal and professional growth. As we constantly evolve and innovate, you’ll have endless opportunities (and budget) to expand your skills and skyrocket your career.

The next steps

If you have the guts, ideas, and a team vision, apply now! 

Our hiring process: 

• Meet Karl, our Recruiter: Your first interview with him will give you the chance to share your experiences and aspirations. 
• Engage with Mirko our, Chief Product and Technology Officer
• Put your skills to the test: Tackle a home task to present your skills. 
• Assessments: Complete our personality and logic assessments in Alva platform to showcase your strengths.
• Visit our office to meet product stakeholders on Team DNA interview, showcasing your expertise. 
• A final with our CEO, Pärtel
• The celebration begins: If the stars align, receive an offer to join the Bondora team! 

What is this role about?

As the Head of Product, Credit, you will lead the development of Bondora’s credit decision-making stack. This is a highly cross-functional role working across Credit, Data Science, Risk, Legal, and Engineering to build systems that turn raw data into smart, responsible, and scalable credit decisions. You will shape the roadmap, structure the tooling, and ensure we meet both regulatory and business goals as we scale into the existing and new markets.

Your main responsibilities will be: 

• Continuously talk to customers, validate problems, and turn insights into shipped outcomes
• Drive the vision, strategy, and roadmap for Bondora’s credit decisioning platform, ensuring scalable, compliant, and auditable decisions across markets.
• Design and scale core credit capabilities around data inputs, affordability logic, and credit files, ensuring they are robust, transparent, and ready for multi-country expansion
• Partner closely with Risk, Legal, Country teams, Data Science, and Engineering to evolve scoring logic, feature engineering, and PD modeling
• Enable risk managers with powerful configuration, testing, and monitoring tools (Taktile-powered)
• Own data quality and lifecycle for credit decisioning, ensuring integrity, traceability, and modeling readiness at scale.

What would ensure success in this role?

• Strong product thinking: ability to frame problems, run discovery, and turn insights into measurable shipped outcomes
• Experience building products powered by ML, data models, or AI systems - understanding how models are trained, evaluated, deployed, and monitored 
• Ability to collaborate effectively with both technical (Data Science, Engineering) and non-technical stakeholders (Risk, Legal, Country teams)

Bonus points if you have:

• Experience with credit decisioning or underwriting platforms (e.g., Taktile, Provenir, or similar)
• Exposure to regulated domains such as lending, fintech, or digital banking.

What can you expect at Bondora? 

• Contribute to Bondora’s ambitious goal of reaching €1B in revenue by the end of 2026. Your skills and efforts will directly impact our growth trajectory and shape the future of our company.
• Our employees deserve the best. We recognize our people with a competitive salary and a generous benefits package (daily lunches in the office, monthly massage, five weeks of vacation, private healthcare compensation, €1,200 hobby grant, mental healthcare support, share options, and more!)
• We provide an environment that encourages your personal and professional growth. As we constantly evolve and innovate, you’ll have endless opportunities (and budget) to expand your skills and skyrocket your career.

The next steps

If you have the guts, ideas, and a team vision, apply now! 

Our hiring process: 

• Meet Karl, our Recruiter: Your first interview with him will give you the chance to share your experiences and aspirations. 
• Engage with Alexandra, VP of Product
• Put your skills to the test: Tackle a home task to present your skills. 
• Assessments: Complete our personality and logic assessments in Alva platform to showcase your strengths.
• Visit our office to meet product stakeholders on Team DNA interview, showcasing your expertise. 
• A final with our CPO, Mirko. 
• The celebration begins: If the stars align, receive an offer to join the Bondora team! 

We are looking for a Senior ML Platform Engineer to join our ML Platform team to build, evolve and scale AI Infrastructure that powers Bolt's intelligent services

With over 200 million customers in 50+ countries, Bolt is one of the fastest-growing tech companies in Europe and Africa. And it's all thanks to our people.

We believe in creating an inclusive environment where everyone is welcome, regardless of race, colour, religion, gender identity, sexual orientation, age, or disability.

Our ultimate goal is to make cities for people, not cars, and we need your help to achieve this mission!

The ML Platform Team makes ML/AI easy at scale. We streamline development, testing and deployment of ML/AI systems for hundreds of real-time algorithms. 

We own training orchestration, an inference software stack and infrastructure, and a Feature Store, including VectorSearch and RAG tooling. We develop LLM tools and CI/CD for ML, covering the whole range of ML infrastructure needs.

Our tech stack includes TypeScript, Python, Spark (batch and structured streaming), Airflow, n8n, MLflow, LiteLLM, AWS SageMaker, Redis, Elasticsearch, Docker, Kubernetes, AWS (S3, EKS), Terraform, Great Expectations. 

• Designing, building, and optimising components of Bolt’s ML Platform.
• Optimise and extend our in-house Feature Store Platform serving billions of data points in real-time.
• Tune infrastructure (k8s and AWS) and build automations to achieve the best cost-performance.
• Proactively solve technical challenges, discover and build new features, enabling develop efficiency.
• Support our internal users and help with troubleshooting, and turn user problems into scalable solutions.
• Raise our product and technical quality bar, promoting software engineering best practices.

• 5+ years of experience in Software Engineering, out of which 2+ in ML/MLOPS/AI Engineering.
• Experience in leading and delivering complex cross-team projects.
• Production experience with Python, Spark, and Kubernetes.
• Experience in MLOPS and AI ecosystem, and developing end-to-end ML/AI solutions at scale.
• You strive for technical excellence while staying pragmatic to achieve outcomes for the users.

Experience is great, but what we really look for is drive, intelligence, and integrity. So even if you don’t tick every box, please consider applying!

• Accelerate your professional growth with unique career opportunities.
• Enjoy a rewarding salary and stock options, knowing that as Bolt succeeds, so do you.
• Take care of your physical and mental health with our wellness perks.
• Celebrate 5 years at Bolt with a 1-month paid sabbatical to recharge.
• Connect with colleagues at annual company events and smaller team gatherings.
• Balance flexibility and in-person collaboration with our hybrid model, including at least 12 monthly in-office days.

*Some perks may differ depending on your location and role.

 
We’re looking for a hands-on Principal Program Manager (AI Project Charter) to drive impact within Rides Central Operations. You’ll solve complex operational problems by designing scalable AI solutions that deliver measurable results across markets.

 
 
  With over 200 million users in 50+ countries, Bolt is one of the fastest-growing tech companies in Europe and Africa. And it's all thanks to our people.

  We believe in creating an inclusive environment where everyone is welcome, regardless of race, colour, religion, gender identity, sexual orientation, national origin, age, or ability.

  Our ultimate goal is to make cities for people, not cars. And we need your help on this mission!
 

 
 

You’ll personally design and implement AI tools, agents, dashboards, and decision systems, working cross-functionally while maintaining strong individual ownership. You’ll also help define how AI initiatives are prioritised and governed across Rides.

This is an individual contributor (IC) role with high ownership and no direct reports. It’s built for someone eager to build, own, and deliver real change.

 

• Build and deploy AI tools, agents, dashboards, and decision systems for Rides Operations, covering areas such as diagnostics, optimisation, forecasting, policy enforcement, and reporting automation, moving from prototype to production-ready solutions.
• Translate operational complexity into scalable AI solutions with measurable impact, identifying high-friction problems across markets and defining use cases that improve cost, efficiency, reliability, and growth.
• Deliver independently, minimising dependencies while partnering where scale or integration is required, using internal data, APIs, large language models (LLMs), and automation frameworks to ship usable tools even with limited Engineering, Data, or Product bandwidth.
• Create clear decision materials for leadership, highlighting trade-offs, risks, and impact, running structured AI reviews, and aligning priorities with operational and financial outcomes.
• Develop scaling playbooks and drive adoption across regions, guiding pilots through rollout to steady state, tracking performance, and iterating based on usage and feedback.
• Establish principles and governance for responsible AI use in Operations, defining guardrails to ensure solutions are explainable, locally compliant, and aligned with long-term platform standards.

• You have demonstrated hands-on experience building and deploying applied AI solutions, including AI agents and use-case-specific model fine-tuning.
• You have practical experience with enterprise AI ecosystems (e.g. Google Cloud, Gemini) and hands-on usage of tools such as GPT or Claude, including API and workflow integrations.
• You have strong programme delivery capabilities, translating business needs into prioritised execution plans and driving transformation initiatives end to end.
• You can manage senior stakeholders effectively, aligning technical implementation with business objectives.
• You have experience operating within scaled organisations where AI solutions are already live and integrated into core processes.
• You have 8–12 years of combined technical and business working experience. A broader machine learning background, Python and SQL proficiency, and vendor management experience are considered an advantage.

 
 
  Experience is great, but what we really look for is drive, intelligence, and integrity. So even if you don’t tick every box, please consider applying!
 

 
 

• Play a direct role in shaping the future of mobility.
• Impact millions of customers and partners in 600+ cities across 50+ countries.
• Work in fast-moving autonomous teams with some of the smartest people in the world.
• Accelerate your professional growth with unique career opportunities.
• Get a rewarding salary and stock option package that lets you focus on doing your best work.
• Enjoy the flexibility of working in a hybrid mode with a minimum of 3 days in the office each week to foster strong connections and teamwork.
• Take care of your physical and mental health with our wellness perks.

 *Some perks may differ depending on your location and role.

 
We are looking for an ambitious Data Scientist to join our Fraud and Payments team and help us convert every order across all of our business lines by detecting potential fraudulent behaviour and optimizing the payment lifecycle.
 

 
 
With over 200 million users in 50+ countries, Bolt is one of the fastest-growing tech companies in Europe and Africa. And it's all thanks to our people.

We believe in creating an inclusive environment where everyone is welcome, regardless of race, colour, religion, gender identity, sexual orientation, national origin, age, or ability.

Our ultimate goal is to make cities for people, not cars. And we need your help on this mission!
 

 
 
You’ll be working in the Fraud and Payments team, which is responsible for processing 1% of all card transactions in Europe. This team is a cross functional team consisting of product managers, data analysts, software engineers and data scientists. Our engines inspect every order across all of our business lines to detect potential fraudulent behaviour and optimize the payment lifecycle - preventing financial losses due to fraud, optimizing payment costs and helping our users to successfully complete their payments. 
 

 

• Working with a technical stack consisting of Python, Docker, SageMaker, Airflow and Databricks
• Building and improving fraud prediction models using different predictive approaches
• Exploring techniques that can improve the way we manage payments, including Causal and Reinforcement Learning
• Handling the entire lifecycle from project conceptualization and notebook prototyping to productizing and maintaining a machine learning based solution or other automation that might be serving hundreds of millions of users in production
• Leveraging our in-house data and model platform that allows you to launch new projects in a matter of days
• Deploying and A/B testing solutions for millions of users, enabling fast feedback and measurable added value to customers

 

• Exceptional knowledge of machine learning algorithms, statistical inference, and autonomous decision-making systems
• Enthusiasm to collaborate with different roles in product, analytics and engineering to identify problems, explore trends and untap growth opportunities
• Passion for continuous learning and a collaborative mindset, valuing open technical discussions and peer-to-peer knowledge sharing
• Mastery in Python and SQL
• Previous experience in fraud detection, payment optimization or related financial services is a plus
• Strong academic background in a quantitative field

 
Experience is great, but what we really look for is drive, intelligence, and integrity. So even if you don’t tick every box, please consider applying!
 

 

• Play a direct role in shaping the future of mobility.
• Impact millions of customers and partners in 600+ cities across 50+ countries.
• Work in fast-moving autonomous teams with some of the smartest people in the world.
• Accelerate your professional growth with unique career opportunities.
• Get a rewarding salary and stock option package that lets you focus on doing your best work.
• Enjoy the flexibility of working in a hybrid mode with a minimum of 3 days in the office each week to foster strong connections and teamwork.
• Take care of your physical and mental health with our wellness perks.

  *Some perks may differ depending on your location and role.

We're looking for an Engineering Manager to lead the Rides Safety team. Your team will build and operate the systems that help keep riders and drivers safe before, during, and after every trip – from preventing abuse and dangerous behaviour to reacting fast when something goes wrong. This is a role with clear, measurable impact on millions of trips and a strong influence on how safety-related product and engineering decisions are shaped and executed across Bolt.

With over 200 million customers in 53+ countries, Bolt is one of the fastest-growing tech companies in Europe and Africa. And it's all thanks to our people.

We believe in creating an inclusive environment where everyone is welcome, regardless of race, colour, religion, gender identity, sexual orientation, national origin, age, or disability.

Our ultimate goal is to make cities for people, not cars, and we need your help to achieve this mission!

Rides Safety sits at the intersection of engineering, product, and operations. You’ll lead a cross-functional engineering team (backend, mobile platforms, data science) that ships risk signals, in-trip safety features, and incident tooling used by internal teams across many markets. The work is demanding: you’ll balance user experience, growth, and operational cost against safety and risk reduction. There are no perfect answers, you’ll often choose between more friction and more exposure, between false positives and missed events, and contribute to tradeoffs together with Product and Operations. You’ll use data, domain input, and your team’s technical judgment to iterate towards a safer and more reliable system, supporting safety-critical flows across multiple markets and regions.

• Leading and growing talented Software Engineers specialising in backend, mobile platforms and data science development, building and operating systems where failures have real user and operational impact.
• Partnering with Product and Analytics to define safety metrics and use them to guide priorities; using them to guide priorities and measure impact; making pragmatic tradeoffs between catching more risk and avoiding unnecessary user friction, coverage and complexity, global solutions and local needs.
• Defining and driving the team roadmap together with Product, Analytics, and Operations.
• Creating a team setup that enables predictable delivery, good engineering quality, and healthy collaboration.
• Driving individual 1-1s to mentor and coach Software Engineers to develop skills and uncover their potential.
• Communicating context and decisions clearly to engineers, stakeholders, and leadership.

• You have experience owning a product or platform area end-to-end, not just individual projects.
• You can handle ambiguity, narrow down open problem spaces, and move the team from discussion to decisions.
• You have strong backend engineering fundamentals, with the ability to review and challenge designs across backend services, mobile integration, and data/ML systems and ask the right questions.
• You are comfortable working with data: metrics, experiments, dashboards, and basic statistical reasoning.
• You have led high-performing engineering teams, and bring strong leadership and people management skills, with a proven ability to attract, inspire, and retain talent.
• 5+ years of hands-on experience in software development and a deep understanding of how to write maintainable code and performant systems.
• Proven ability to get things done, maintain a strong vision for the future, set up and facilitate engineering processes and make data-driven decisions.

Experience is great, but what we really look for is drive, intelligence, and integrity. So even if you don’t tick every box, please consider applying if you feel you’re the kind of person described above!

• Play a direct role in shaping the security and user experience of one of Europe’s leading platforms
• Impact millions of customers and partners in 600+ cities across 53 countries
• Work in fast-moving autonomous teams with some of the smartest people in the world
• Accelerate your professional growth with unique career opportunities
• Get a rewarding salary and stock option package that lets you focus on doing your best work
• Enjoy the flexibility of working in a hybrid mode with a minimum of 2 days in the office each week to foster strong connections and teamwork
• Take care of your physical and mental health with our wellness perks

*Some perks may differ depending on your location and role.

We’re looking for an experienced Data Scientist to join our Rides Safety team and help build our predictive and automated safety and risk systems - from user screening tooling and telemetry anomaly detection to behaviour factors predictions.

If you're excited about applying machine learning and automated decision-making tools to real-world mobility challenges, you’ll find plenty of impactful work here.

With over 200 million customers in 50+ countries, Bolt is one of the fastest-growing tech companies in Europe and Africa. And it's all thanks to our people.

We believe in creating an inclusive environment where everyone is welcome, regardless of race, colour, religion, gender identity, sexual orientation, age, or disability.

Our ultimate goal is to make cities for people, not cars, and we need your help to achieve this mission!

You'll own Bolt's Safety automation and prediction systems end-to-end and directly influence users from our marketplace with millions of trips daily, working in an independent and self-sufficient full stack product team - from mobile applications through the server infrastructure. Your daily tasks will range from modelling risk to designing and experimenting with automated intervention strategies. This includes managing the load on automation endpoints and real-time data streams. You’ll identify new safety opportunities, run large-scale experiments, and take predictive and automation models from research to production. This is a highly impactful role where your work will directly shape the experience of over 200 million customers worldwide.

• Identify, research, and prioritise hypotheses to improve automated and predictive safety algorithms (e.g., risk scoring, verification, and progressive interruption systems).
• Develop, deploy, and monitor automated safety systems, ranging from classical supervised learning to real-time risk models and advanced control system designs.
• Design and run large-scale experiments to validate safety approaches and estimate their impact on core safety metrics (e.g., incident rates, verification success, and driver/rider experience).
• Lead the data science and ML-first approach to safety and risk management in the company.
• Partner with analysts, engineers, product managers, and operations specialists to identify safety problems and develop the most efficient, data-informed solutions.

• Strong ownership mindset and comfort working autonomously from problem research to model deployment.
• 3+ years of experience in machine learning for automated decision making.
• Exceptional knowledge of machine learning algorithms, statistical inference, and autonomous decision-making systems.
• Mastery in Python and SQL.
• Skilled at communication with cross-functional stakeholders.

Experience is great, but what we really look for is drive, intelligence, and integrity. So even if you don’t tick every box, please consider applying!

We’re looking for an experienced Data Scientist to join our Rides Safety team and help build our predictive and automated safety and risk systems - from user screening tooling and telemetry anomaly detection to behaviour factors predictions.

If you're excited about applying machine learning and automated decision-making tools to real-world mobility challenges, you’ll find plenty of impactful work here.

With over 200 million customers in 50+ countries, Bolt is one of the fastest-growing tech companies in Europe and Africa. And it's all thanks to our people.

We believe in creating an inclusive environment where everyone is welcome, regardless of race, colour, religion, gender identity, sexual orientation, age, or disability.

Our ultimate goal is to make cities for people, not cars, and we need your help to achieve this mission!

You'll own Bolt's Safety automation and prediction systems end-to-end and directly influence users from our marketplace with millions of trips daily, working in an independent and self-sufficient full stack product team - from mobile applications through the server infrastructure. Your daily tasks will range from modelling risk to designing and experimenting with automated intervention strategies. This includes managing the load on automation endpoints and real-time data streams. You’ll identify new safety opportunities, run large-scale experiments, and take predictive and automation models from research to production. This is a highly impactful role where your work will directly shape the experience of over 200 million customers worldwide.

• Identify, research, and prioritise hypotheses to improve automated and predictive safety algorithms (e.g., risk scoring, verification, and progressive interruption systems).
• Develop, deploy, and monitor automated safety systems, ranging from classical supervised learning to real-time risk models and advanced control system designs.
• Design and run large-scale experiments to validate safety approaches and estimate their impact on core safety metrics (e.g., incident rates, verification success, and driver/rider experience).
• Lead the data science and ML-first approach to safety and risk management in the company.
• Partner with analysts, engineers, product managers, and operations specialists to identify safety problems and develop the most efficient, data-informed solutions.

• Strong ownership mindset and comfort working autonomously from problem research to model deployment.
• 3+ years of experience in machine learning for automated decision making.
• Exceptional knowledge of machine learning algorithms, statistical inference, and autonomous decision-making systems.
• Mastery in Python and SQL.
• Skilled at communication with cross-functional stakeholders.

Experience is great, but what we really look for is drive, intelligence, and integrity. So even if you don’t tick every box, please consider applying!

What is this role about?

As the Lead Machine Learning Engineer at Bondora, you will be the backbone of our Data Science delivery. Your mission is to build the robust infrastructure that powers automated model pipelines, ensures deployment reliability, and governs the full ML lifecycle from experimentation to production.

This is a strategic and hands on engineering role. You will collaborate closely with Data Science, Data Engineering, and Development teams to remove friction, improve scalability, and bring stable, high quality ML solutions into everyday decision making.

You will guide the evolution of our ML engineering stack, lead high impact initiatives, and mentor engineers while shaping a culture of technical excellence 🌿

Your main responsibilities 🎯

• Guide the technical direction of Bondora’s ML engineering stack by selecting, evaluating, and implementing technologies, tools, and processes that improve scalability and reliability.
• Lead complex, high risk, or cross departmental projects that directly influence Data Science delivery, risk model performance, and production stability.
• Act as the bridge between Data Science, Data Engineering, and Development to identify and solve systemic technical challenges.
• Design and build advanced, production grade ML infrastructure and set the engineering standard for the team.
• Ensure all ML solutions are secure, observable, resilient, and scalable, following governance, compliance, and operational best practices.
• Mentor ML Engineers through code reviews, design sessions, and hands on technical leadership.
• Identify weaknesses or inefficiencies in model or data infrastructure and drive company wide improvements.
• Represent the ML Engineering team in technical discussions and communicate architectural decisions clearly to stakeholders.

What would ensure success in this role?💪

• Strong Python engineering background and experience with MLflow, Unity Catalog, Databricks, or equivalent platforms used for model lifecycle management.
• Proven experience designing ML infrastructure, including CI/CD, containerization with Docker or Kubernetes, and orchestration with Airflow or Prefect.
• Deep understanding of monitoring and observability frameworks such as Prometheus, Grafana, or Datadog, and a track record of improving pipeline reliability.
• Expertise in model governance, versioning, auditability, and operationalization from research to production.
• Solid knowledge of cloud infrastructure on AWS, GCP, or Azure, including cost effectiveness and security best practices.
• Experience leading cross functional initiatives and mentoring engineers.
• Ability to balance innovation and stability through structured experimentation, pilot phases, and safe adoption of new technologies.

What can you expect at Bondora? 

• Contribute to Bondora’s ambitious goal of reaching 1BN in revenue. Your skills and efforts will directly impact our growth trajectory and shape the future of our company.
• Our employees deserve the best. We recognize our people with a competitive salary and a generous benefits package (5 weeks of vacation, private healthcare compensation, hobby grant, mental healthcare support, share options and much more!)
• We provide an environment that encourages your personal and professional growth. As we constantly evolve and innovate, you’ll have endless opportunities (and budget) to expand your skills and skyrocket your career.

The next steps

If you have the guts, ideas, and a team vision, apply now! 

Our hiring process: 

1️⃣ Meet Kerli H., our recruiter, for an initial conversation about your background and ambitions.
2️⃣ Complete our personality and logic assessments via Alva Labs.
3️⃣ Meet Rafael, our Head of Data Science.
4️⃣ Complete case study.
5️⃣ Chat with Juris, our Chief Credit Officer.
6️⃣ If everything aligns, welcome to Bondora 🎉