Senior Product Engineer

Inato

WHO WE ARE Inato is a Tech for Good company striving to bring clinical research to each and every patient, regardless of who they are or where they live. To do this, we are building the world's first clinical trial platform to create greater visibility, access, and engagement across a more diverse population of doctors and their patients. Drug development is a challenging, intellectually complex, and rewarding endeavor: we enable global pharmaceutical companies to confidently partner with community-based researchers to increase patient access to the latest medical innovations. Our AI-powered platform currently offers clinical trials from leading companies to over 5,500 sites across the globe and we are well poised for growth in 2026. We are a growing team of passionate pharmaceutical experts, software and AI engineers, professional services members, and many more—all bringing their unique perspectives to solve the challenges facing clinical research. Inato is the recent recipient of Fast Company’s Most Innovative Companies of 2024, Fierce Healthcare’s Fierce 15, and Built In's Best Places to Work 2025. The Role We're hiring a Senior Analytics Engineer, Product to own how data moves from Inato's platform into the hands of the people who depend on it — our product squads, CS and Marketing teams, sponsors, and sites. You'll enable trusted self-service at scale, prove the value of our new product offerings faster, and ship data products directly into the user experience. You'll report to Alexandre Halley (Data Director) and partner daily with Product squads (PMs, engineers, designers), with regular touchpoints into CS, Marketing, and Sponsor / Site Ops. Our stack includes Segment, Airbyte, Dagster, BigQuery, dbt, Hex, FullStory, and more. What you'll own * Trusted self-service at scale. Own metric definitions, build the semantic layer powering our AI-driven self-service in Hex, and govern what gets exposed so non-data teams can answer their own questions confidently. * Faster value validation for new offerings. Partner with squads to translate vague operational pains (a CS workflow, a sponsor enablement gap, a prototype idea) into working data assets in days — from real-data prototype to production-grade pipeline. * Data products in front of users. Own the tables consumed by the product itself, and the user-facing dashboards (embeds, custom interfaces) that sponsors, sites, and internal teams rely on day to day. * Using AI to scale yourself and the team. Automate the parts of data work that don't need a human in the loop so the team can keep pace as new offerings multiply and Inato grows. The data team is pioneering AI-enablement internally, and this role is at the front of that. What success looks like * By 3 months: You own at least one new-offering data pipeline end-to-end. Corresponding data points are available for self-service, and new metric definitions are live. You've automated at least one internal process using AI. * By 6 months: At least three user-facing dashboards or data streams are live. Requirements Must-have * 4+ years as an Analytics Engineer, or in a hybrid data engineer/analyst role with strong analytics engineering ownership. * Strong dbt + warehouse modeling skills (we use BigQuery). * Track record of owning data products end-to-end: definition → ship → measurable adoption. * A genuine product mindset — you start from the user's problem, not from the SQL. * Excellent written and verbal communication with non-data stakeholders. * Comfort navigating ambiguity — you can turn a vague operational pain into a working data asset without a fully-specified ticket. Nice-to-have * Fluency with AI-assisted tooling (Claude Code, Claude Cowork, Hex AI) and a habit of using it to ship faster. * Experience building production-grade company dashboards. * Domain exposure to healthcare, clinical trials, or other regulated industries. Working style You're impact-driven and pragmatic — you instinctively reach for the shortest path to the user's need. You're systematic: you'd rather improve the system than re-fix the same symptom. You're satisfied shipping the 80% solution at 20% of the effort, then iterating on it. You're equally comfortable in a stakeholder conversation, a dbt PR, and a quick prototype. You'll thrive here if your career arc looks something like: started as an analyst or PM, moved up the stack toward analytics engineering or data product, have lived in start-ups or scale-ups where you owned a meaningful slice of the data value chain end-to-end, and have shipped complex projects with measurable end-user value. Location and Compensation * France-based, remote-first. Office available in Grands Boulevards, Paris if you want to use it. * Base salary range: 65,000€ – 80,000€, plus equity. No individual variable bonus. Why this role, why now Inato is in a phase of rapid growth driven by new product offerings, and the data team is one of the functions directly responsible for proving and scaling that value. You'll have a direct line to the VP Product, real ownership from day one, and a small senior team around you. Inato is leaning hard into AI-enablement, and the data team is pioneering it internally — there's a clear path to Lead or Staff Analytics engineer, or Data Product Manager within 2–3 years as our data-as-a-product surface grows. Perks * Remote-first philosophy & flexible hours * Amazing office in Grands Boulevards, Paris where you can meet with colleagues if this is important for you * Top-of-the-line equipments * Compensatory time (RTT) * Health insurance (Benefiz, 100% paid by Inato) * Meal vouchers (Swile) * Contribution to healthy activities (Wellpass, ex-Gymlib) * Free books & learning material

Inato

WHO WE ARE Inato is a Tech for Good company striving to bring clinical research to each and every patient, regardless of who they are or where they live. To do this, we are building the world's first clinical trial platform to create greater visibility, access, and engagement across a more diverse population of doctors and their patients. Drug development is a challenging, intellectually complex, and rewarding endeavor: we enable global pharmaceutical companies to confidently partner with community-based researchers to increase patient access to the latest medical innovations. Our AI-powered platform currently offers clinical trials from leading companies to over 5,500 sites across the globe and we are well poised for growth in 2026. We are a growing team of passionate pharmaceutical experts, software and AI engineers, professional services members, and many more—all bringing their unique perspectives to solve the challenges facing clinical research. Inato is the recent recipient of Fast Company’s Most Innovative Companies of 2024, Fierce Healthcare’s Fierce 15, and Built In's Best Places to Work 2025. THE ROLE As our Senior Cloud Infrastructure Engineer, you will own the maintainability and scalability of the infrastructure that powers Inato's platform. Reporting to Bastien, our CTO, you will split your time between projects that strengthen our infrastructure and run work that keeps it healthy. Until now, infrastructure work has been a shared responsibility between all members of the tech department. Now that we have multiples teams, more complex services, and a rapidly growing volume of patient data and system integrations, we believe it's time for a dedicated position. This is a high-ownership, senior individual-contributor role: you will inherit a functioning system, and be responsible for bringing it to the next level. Your success will be measured by the impact of your projects on product delivery, and your ability to prevent and solve production issues. RESPONSIBILITIES * Lead projects that improve the maintainability and scalability of our cloud infrastructure * Own day-to-day infrastructure operations, solving problems directly or making sure they are dispatched to the right team * Coach other tech team members on how to best leverage the capabilities of our cloud infrastructure QUALIFICATIONS MUST-HAVE * 5+ years in a similar role (infrastructure, platform, SRE, DevOps) * Strong experience building and maintaining highly available cloud infrastructure environments using code, directly supporting product delivery * Deep understanding of Linux systems, containerization and orchestration * Solid networking fundamentals * Excellent communication, able to translate between technical and non-technical audiences NICE-TO-HAVE * Experience with GCP * Experience as the first or sole dedicated infrastructure hire * Experience in a regulated or healthcare environment CONCRETE PROJECT EXAMPLES * Redesign our IAM model. Move us from ad-hoc, hand-managed permissions to a clean least-privilege structure managed as code, making access auditable, consistent, and easy to reason about as we scale. * Centralize our logging. Re-architect how we handle logs so everything flows into a single dedicated sink project, giving the team one reliable place to observe and debug across environments. * Bring our cloud costs under control. Build cost visibility and guardrails into our GCP footprint, surfacing waste, setting budgets and alerting, and making cost a first-class signal in how we run infrastructure. TECHNICAL ENVIRONMENT * Cloud: GCP, GKE, Cloud Run * Infrastructure-as-Code: Terraform * CI/CD: GitHub, GitHub Actions * Observability: OpenTelemetry, Axiom See more on stackshare LOCATION & COMPENSATION * France-based, remote-first. Office available in Grands Boulevards, Paris if you want to use it. * Base salary range: 70,000€ – 90,000€, plus equity. No individual variable bonus. BENEFITS * Remote-first philosophy & flexible hours * Top-of-the-line equipment * Modern free health insurance (Benefiz) * Compensatory time off (RTT) * Lunch vouchers (Swile) * Gym membership (Gymlib) * Free books & learning material

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.