We're looking for an AI & Automations Analyst to build the automation infrastructure that makes Bolt Food's Central Operations meaningfully more efficient across all 16+ markets in Europe and Africa.

You'll diagnose where the highest-effort manual work lives, build the automations to eliminate it, and use AI tooling to run analyses that would otherwise take days or not happen at all.

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 work across all four Central Ops sub-teams - Courier Lifecycle, Courier Performance, Marketplace Operations, and Operational Excellence - as well as with local market teams, Product, and Data.

This is a builder + strategist + analyst + educator seat. The right person ships fast, thinks analytically, and is genuinely excited about using AI to change how an operations team works.

• Build and ship automations at scale. Design, build, and maintain production-grade automation workflows using tools like Make, n8n, or similar — covering courier onboarding, compliance, performance monitoring, and reporting pipelines across all 16+ markets. Convert high-volume manual work into scalable, repeatable systems.
• Use AI tooling to accelerate and deepen analysis. Apply LLM-based tools and structured frameworks to operational questions that are too complex for manual approaches — bad order classification, multi-market variance analysis and insight extraction from unstructured data. You won't just build the pipe; you'll generate the insight.
• Define the AI & automation roadmap. You'll set the direction for how Central Ops adopts AI and automation, what we build, what we buy, what we train on and what we deprecate. This function doesn't exist today; you'll shape it. It involves auditing existing workflows, quantifying where manual effort is highest, and maintaining a structured pipeline of opportunities ranked by hours saved and business impact. Track realised savings and continuously identify new opportunities.
• Automate operational reporting. Replace manual data pulls with automated pipelines — weekly market performance packs, daily KPI scorecards with threshold-based alerting, and cross-market variance reports that surface outliers before leadership reviews.
• Build compliance and quality systems. Design rules-based automation for courier compliance (document expiry, automated reminders, threshold-based blocking) and performance management (rolling score engines, structured warning and suspension pipelines).
• Enable the team. Document all workflows clearly, deliver regular AI tooling training for central and local teams, and build with sustainability in mind. Your automations need to work when you're not watching them.

• You have 3–4+ years of experience in operations, BizOps, automation, or analytics where you were hands-on building workflows AND running analysis, ideally in a marketplace, logistics, or tech-forward environment.
• You have deep, hands-on experience with automation platforms such as n8n, Make, or Zapier. You've built and maintained complex, multi-step workflows in production, not just prototypes.
• You have strong working knowledge of AI and LLM tooling, with real examples of operational deployment: classification, extraction, summarisation, or anomaly detection. You understand what these tools are good at and where they break.
• You have strong SQL skills and analytical instincts, are comfortable sizing problems, measuring impact, and generating insights from large datasets. You don't just automate; you think about what the data is telling you.
• You have a builder's mindset. You default to shipping and iterating rather than waiting for perfect specs, and you're energised by turning messy manual processes into clean systems.
• You have strong communication skills — able to explain technical solutions to non-technical stakeholders, write clear documentation, and train others across teams and time zones. Fluent in English.
• You enjoy bringing others along. You can sit with a teammate who's never used an AI tool before and leave them genuinely capable of using one, and you see this as core to the job, not a nice-to-have..

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.

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.

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! 

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.