Senior Product Engineer

Polar

WHY POLAR? It's never been easier to build, ship and scale software. But it's never been harder to monetize it. Modern startups look fundamentally different than prior generations: * Smaller teams * Exponential revenue growth relative to headcount * Higher variability in costs (LLMs) requiring more frequent pricing iterations * Laser focused on product development and distribution * Delegating and automating everything that is boilerplate – be it in their codebase or business operations. Exceptional billing primitives, APIs and SDKs are essential, but delightful integration is not enough. Startups need a billing platform designed for their speed of iteration. Combining billing and analytics in one platform to offer customer- and feature unit economics in real-time. Offering built-in pricing and cost insights, simulations and optimizations while simultaneously handling international compliance, tax management, fraud prevention and more. That's Polar. We're building the next standard for applied AI startups. Join our small, talented and engineering-led team across Europe as we build the infrastructure powering the next generation of software companies. We focus on shipping at high velocity to serve startup founders scale their businesses. Everything else is secondary. ROLE & RESPONSIBILITIES: WHAT YOU WILL DO We’re hiring a Senior Platform Engineer to architect and evolve the Polar platform - ensuring the system remains fast, resilient and operationally sound as we scale. Polar operates as a merchant of record, meaning our platform sits directly in the critical path of global payments, billing infrastructure and financial workflows. Reliability, uptime and correctness are essential - while still maintaining the ability to move quickly and ship product improvements. You’ll work across the platform and infrastructure layers that power Polar - from core infrastructure and observability to deployment safety, internal tooling and reliability engineering. In close partnership with the team, you’ll ensure the system scales to handle increasing traffic, architectural complexity and regulatory demands without compromising stability, performance or developer velocity. This role is ideal for someone who treats reliability as a product requirement and scalability as an architectural discipline, combining deep systems engineering experience with a passion for building reliable, scalable platforms and empowering engineering teams through strong abstractions and automation. While this role focuses primarily on the foundational layers of our platform, we value engineers who are comfortable moving across the stack when needed to ship quickly and maintain momentum. You’ll work with the team to: * Ensure Platform Reliability & Uptime: Design and evolve systems that maintain high availability, predictable performance and operational stability. Drive improvements in uptime, resilience and operational discipline as the system scales. * Engineer for Scale & Performance: Strengthen how our distributed services behave under load. Identify bottlenecks, optimize critical paths and design systems that scale with growing traffic and complexity. * Advance SRE & DevOps Practices: Embed reliability engineering practices across the platform - defining SLOs and SLIs, improving incident response, reducing operational toil and making production behavior measurable and actionable. * Evolve Cloud & Infrastructure Systems: Continuously evolve Polar’s infrastructure baseline and determine when the current stack needs to evolve. Improve infrastructure-as-code, environment management and operational safety mechanisms. * Strengthen Deployment & Operational Safety: Refine CI/CD systems, rollout strategies and rollback mechanisms to ensure changes are safe, observable, reversible and fast to deploy. * Improve Observability & Debuggability: Advance logging, metrics and tracing standards so engineers can quickly understand, debug and resolve issues in production. * Collaborate across Engineering, Risk & Legal: Work closely with product and infrastructure engineers, as well as risk and legal stakeholders, to translate evolving regulatory requirements into clear technical abstractions while maintaining long-term platform reliability and health. WHAT WE’RE LOOKING FOR Systems Thinking & Operating Mindset * Deep systems thinking: You anticipate failure modes, design for idempotency and consistency, and think carefully about how distributed systems behave in production. * Security- and compliance-aware engineering mindset: You build with auditability, principled access control and regulatory constraints as first-order design considerations. * End-to-end ownership: You are comfortable owning features from infrastructure and backend systems all the way to shipping functionality that powers the product. While this role focuses on platform layers, we value engineers willing to work across the stack when needed. * Strong product judgement: You know when to move fast while ensuring that correctness, auditability and long-term system integrity take precedence. * High-ownership collaboration: You thrive in small teams, collaborating closely across engineering to evolve the platform architecture and take shared responsibility for the long-term health of the system. Technical Skills * Strong backend expertise - you design clear, durable APIs and build systems that are resilient under real-world load and edge cases. * Highly proficient in SQL and data modeling - you reason rigorously about long-term data correctness, performance and reliability across large datasets. * Strong production debugging and observability instincts with an ability to trace complex issues across services and understand how to prevent them in the future. * Experience building or operating distributed systems with strong reliability and operational requirements. Experience * 5-8+ years of engineering experience, building and scaling customer-facing SaaS or fintech products in a high-growth environment. * Experience in payments and billing infrastructure - subscription lifecycles, transaction orchestration, refunds/disputes, payouts and financial state management. Nice-to-have: Open source contributions or side projects/apps to showcase. WHAT WE OFFER * Meaningful ownership: Small team & large surface area. You’ll directly influence how the company and platform scale. * Product-driven culture: We build to empower the next generation of software companies - and operate with the same builder mindset internally. * Competitive compensation: Salary and equity aligned with the impact of the role. * Exceptional team: Work with highly talented team members distributed across Europe. * Remote-first environment: Work from anywhere in Europe, with a home office setup budget available. * Annual team offsites: As the team is spread across Europe, we gather in person at least once a year to collaborate, plan, and spend time. * Health Benefits: Comprehensive health coverage to support you and your family. * Parental leave: Paid parental leave aligned with the standards and regulations of your local jurisdiction. HOW WE HIRE Polar is a remote-first company, with team members across Europe, and our hiring process is fully remote via video calls and email. HIRING PROCESS 1. Application Review: We review your application and previous work. 2. Intro call: A short conversation with Birk (Founder and CEO) to learn more about you and give you a chance to learn more about Polar. 3. Take-home Assignment: A practical exercise designed to reflect the kind of problems you would work on in the role. 4. Assignment Review: We review your assignment and feedback together 5. Team Conversations: 2-3 video calls where you get the chance to meet future team members. 6. Offer 🎉 7. Reference Calls

Cradle

THIS IS CRADLE Proteins are the molecular machines of life, used for many therapeutic, diagnostic, chemical, agricultural and food applications. Designing and optimizing proteins takes a lot of expert knowledge and manual effort, through the use of custom computational and biological tools. Machine learning is revolutionizing this space, by enabling high-fidelity protein models. At Cradle, we offer a software platform for AI-guided discovery and optimization of proteins, so that biologists can design proteins faster and at scale. We are already used by clients across biopharma, biotech, agri-tech, food-tech, and academia. We're an experienced team of just over 100 people. We've built many successful products before and have enough funding for multiple years of runway. We are distributed across three offices in Amsterdam, Boston, and Zurich, alongside a few remote colleagues. We offer our employees a very competitive salary, a generous equity stake in the company and a wide range of benefits and career progression opportunities. YOUR ROLE As an Engagement Manager within our Customer Success team, you’ll ensure that Cradle’s largest customers achieve success across their entire protein R&D portfolio. While your Scientific Advisor peers drive success at the project level, you will own success at the portfolio level — building deep relationships with senior stakeholders, aligning on portfolio success metrics, and ensuring our software and services deliver measurable value across departments and programs. You’ll serve as a trusted partner to senior leaders in global biopharma and industrial biotech companies, guiding strategic planning, adoption, and expansion of Cradle’s platform. Working closely with Scientific Advisors, Account Executives, and Product teams, you’ll translate Cradle’s scientific impact into business outcomes and long-term partnerships. YOUR RESPONSIBILITIES Strategic Account Leadership * Oversee post-sale success across global biotech and pharma customers, from initial onboarding to long-term, broad adoption. * Define and track portfolio-level success metrics and ROI, presenting progress to senior customer stakeholders. * Establish and lead steering committees to align stakeholders and ensure Cradle delivers measurable impact. * Understand customer budget cycles, licensing models, and R&D roadmaps to identify timely opportunities for growth and renewals. * Partner with Account Executives to expand Cradle’s footprint across new business units and therapeutic areas. Program and Relationship Management * Coordinate with Scientific Advisors to ensure smooth project initiation, resource allocation, and execution within licensed project slots. * Manage multi-workstream engagements, ensuring alignment across Science, Product, and ML teams. * Inspire and lead your cross-functional Cradle team to deliver seven star customer experiences. * Act as the primary escalation and coordination point for enterprise accounts. Customer Experience and Voice of Customer * Solicit, capture and communicate customer feedback, driving improvements in Cradle’s product and service delivery. * Partner with Product and Machine Learning Research teams to align customer strategic priorities and Cradle’s roadmap. * Design and co-create training and education initiatives that empower scientists to succeed on the Cradle Platform. * You will advocate for Cradle’s customers internally without losing sight of the delivery efficiency and interests of the Cradle team. YOUR QUALIFICATIONS Must-haves * Deep understanding of biopharma R&D workflows and the ability to confidently engage with executive stakeholders as well as experimental and computational scientists. * 5–7+ years in enterprise client-facing roles (program management, consulting, or customer success) ideally in Life Sciences. * Proven ability to lead complex, multi-stakeholder programs and drive measurable ROI. * Strong relationship-building, executive presence, crisp communication, and excellent organizational skills. * Comfortable presenting scientific and business insights to internal and external cross-functional audiences. * MSc or advanced degree in Molecular Biology, Biotechnology, Bioengineering, or a related field, or equivalent professional experience. * Willingness to travel to- and work from customer sites (20% of the time). Nice-to-haves * Experience managing enterprise SaaS deployments. * Familiarity with services commercials (SOWs, budgeting, resourcing, and change orders). * Experience with machine learning applications in life sciences or biotech. OUR COMMITMENT TO INCLUSIVE HIRING Cradle evaluates all candidates based on merit, regardless of sex, gender, ethnicity, socio-economic background, or any other aspect of identity. We maintain zero tolerance for discrimination and actively encourage candidates from all backgrounds to apply. AI DISCLOSURE Cradle uses an applicant tracking system that includes basic AI-assisted features which may generate scores or rankings based on how applications match a job description. These outputs are not used to make or meaningfully influence hiring decisions — all candidates are evaluated through a thorough, human-led review by our recruiting team. A NOTICE ABOUT RECRUITMENT SCAMS Please be aware that scammers are posing as us in order to get your personal details or money. We only communicate via @cradle.bio email addresses, we only make job offers after having met you in person at our office in Zurich or Amsterdam, and we never ask you to pay for anything during the interview process.

Allica Bank

About Allica Bank Allica is the UK’s fastest growing company - and the fastest-growing financial technology (Fintech) firm ever. Our purpose is to help established SMEs, one of the last major underserved opportunities in Fintech. Established SMEs are the backbone of local communities - representing over a third of our economy - yet have been largely neglected both by traditional high street banks and modern fintech providers. Department Description Lending to SMEs is Allica’s primary revenue stream, and the lending product teams are central to ensuring that Allica’s organic SME lending has a sustained competitive advantage against its peers, due to superior features, processes, technology and data. Whilst a lot of the market aims to avoid the complex nature of SME businesses, we are going for it head on, designing simple and efficient solutions to the most complex problems to provide excellent and efficient customer experience. We are building best in class products and platforms, which will allow us to scale quickly to serve more UK SMEs economically. Role Description The Senior Product Engineer will bring together innovative product design and thinking, alongside building suitable technical solutions for our customers, with an emphasis of utilizing different forms of AI in both ways of working and what we build within the lending product area. The focus of the role will be a combination of product discovery and design as well as managing the complete engineering lifecycle of the product to deployment. This role will create significant value for Allica by building agentic AI capability within lending that drives our growth further, while improving risk and productivity – with the objective of scaling up initial experimentation to significantly scaled Lending solutions. This is a hands-on role, working closely with the rest of the Lending product area, and also with various teams across the bank that drive our Lending to customers, including distribution, underwriting and operations. You will experiment and then develop solutions that improve our lending prospecting, application, credit underwriting and operational processes across products and channels. You will bring deep expertise in LLMs, prompt engineering, agent frameworks, and systems thinking along with the ability to translate into solving real world problems at scale and with a user experience focus. This is a high-impact technical product role with clear business outcomes. You’ll drive the end-to-end delivery of solutions—from idea to production—and play a pivotal role in shaping the future of how we scale Allica using AI within Lending. Principal Accountabilities * Deliver performance: Support delivery of the key business performance indicators for the Autonomous Lending tribe * Product discovery: Drive end-to-end solution design and delivery for components of our commercial lending origination journey, working with the Tribe lead, various internal and external users and clients to build best-in-class experience * Experimentation & Iteration: Rapidly prototype AI applications, run experiments to test impact, and iterate based on usage data and feedback * Build: Design and build AI-driven solutions to significantly improve customer experience and growth opportunity for the bank, while automating manual processes and reducing risk in the journey * Prioritization: Manage the roadmap for the capabilities you are building * Development: Design, develop and deploy the microservices into production for end users. Work along with the team to achieve Continuous integration, deployment and delivery * AI Safety & Explainability: Apply best practices in responsible AI deployment, ensuring explainability, compliance, and ethical use of LLMs in production environments * Risk management: Balance growth responsibly with risk management, following governance best practices across product, engineering and data, while driving innovation Personal Attributes & Experience Personal Attributes: * Deeply curious, proactive, and impact-driven with a strong bias for action and experimentation * Comfortable operating in ambiguous, fast-paced environments where the problem is as novel as the solution * Strong sense of ownership/ pro-activeness * Collaborative and communicative, able to translate technical ideas into business language and influence stakeholders * Good understanding of well-architected Framework and should be able to demonstrate how to apply them * Passionate about the potential of AI to change how businesses work and how customers interact with products Experience & Technical Skills: * Proven experience building and deploying LLM-powered tools or agents (e.g., using OpenAI, Claude, or open-source models) * Hands-on expertise in Python, LLM frameworks (LangChain, Semantic Kernel, etc.), prompt engineering, and orchestration * Previous experience with Event-Driven Microservice Architecture * Experience integrating AI solutions into real-world systems * Strong understanding of vector databases, RAG (retrieval augmented generation), and agent workflows * Understanding of privacy, bias, and safety considerations when applying LLMs in production * Demonstrable experience with Continuous Integration and Deployment (CI/CD) * Exposure to commercial lending is a plus * Exposure to Azure cloud will be beneficial Working at Allica Bank At Allica Bank we want to ensure our employees have the right tools and environment in which to succeed in their role and in support of our customers. Our employees are at the heart of everything we do, so our benefits are designed with you in mind: * Full onboarding support and continued development opportunities * Options for flexible working * Regular social activities * Pension contributions * Discretionary bonus scheme * Private health cover * Life assurance * Family friendly policies including enhanced Maternity & Paternity leave Don’t tick every box? Don’t worry if you don’t have all the skills or requirements listed on the job description. If you think you’ll be a good fit, we’d still love to hear from you! Flexible working We know the ‘9-to-5’ isn’t right for everyone. That’s why Allica Bank is fully committed to flexible and hybrid working. Please let us know what is best for you and, if we can, we will do our best to accommodate. Diversity We’re a diverse bunch here at Allica, with all kinds of experiences, backgrounds and lifestyles. Our openness and differences make us stronger, and we want everybody to feel comfortable bringing as much of themselves to work with them as they like.