Lupa Pets

In this role, you will: Design and build data pipelines from raw ingestion through to clean, modelled, production ready datasets that engineering and product teams rely on Own data quality across your domain, defining standards, instrumenting checks, and resolving failures with urgency Monitor pipeline health in production and respond to issues proactively, not reactively Collaborate with engineering and product to understand data requirements and turn them into robust, scalable solutions Help define and evolve the architecture of our data platform as we scale across new geographies and product surfaces Document your work clearly so the team can understand, extend, and maintain what you build Your background looks something like: Multiple years of hands on data engineering experience in a professional setting Strong Python skills and a demonstrated ability to build pipelines from scratch, not just extend existing ones Solid knowledge of data modelling and practical experience with Apache Spark, AWS services, Docker, and Airflow Experience in a startup or fast growth environment where you've made pragmatic decisions under uncertainty Scala experience (nice to have, we're happy to invest in teaching it if your foundations are strong) Familiarity with dbt, Delta Lake, or similar modern data transformation tooling (nice to have) Exposure to ML pipelines or feature stores (nice to have) As a person, you: Have a proactive, ownership oriented mindset. You don't wait to be told something is broken Take genuine pride in craft and correctness, and hold yourself to a high bar Collaborate well with engineering teams who consume your data and communicate clearly across functions Thrive in environments where you're expected to build from scratch, not inherit a tidy queue of tickets Are excited to work in person from our Paddington, London HQ (or equivalent location) What does success look like in 6 months? You've built and shipped at least two meaningful pipelines end to end You own a defined area of the data platform and are making architectural calls with confidence The team trusts your judgement without needing to review every decision

Lupa Pets in Paddington, London is looking for a Data Engineer to design and build data pipelines that will ensure data quality and efficiency across the platform. Ideal candidates are proactive and have strong skills in Python, Apache Spark, and AWS services. The role involves collaboration with engineering teams and a commitment to delivering high-quality data solutions. It offers a chance to evolve the architecture of the data platform in a fast-growing environment.

About Us Lupa is building a category defining product the industry has never seen before. We're the AI-native operating system for veterinary practices and pet parents, replacing the fragmented, clunky systems vets have tolerated for years with a single intelligent platform for scheduling, client communication, clinical documentation, and AI-driven care guidance. Practices run more efficiently, vets get back to doing what they love, and pet parents feel more connected to their animals' health than ever. The traction speaks for itself: one of Europe's top 100 AI startups with a team of 50 people, 10x growth in twelve months, the UK market leader, and now charging hard into the US and Europe. We have $25M in funding, 1M+ pets on the platform, and a buzzing HQ in Paddington, London. This is a rare chance to join a rocket ship at exactly the right moment and we're looking for exceptional people to help us fly it. In this role, you will: Own a portfolio of veterinary practice onboardings end-to-end, from kick-off call through to a fully live, confident team on the other side Train practice staff on the Lupa platform, tailoring your approach to different levels of technical confidence and clinical background Consult on veterinary workflows, helping practices redesign how they operate around our AI-native tooling rather than just transplanting old habits into new software Project manage multiple concurrent deployments, keeping timelines on track and stakeholders informed without losing momentum Be the bridge between the customer and the product, feeding structured insight from the field back to the team to improve how we build and deploy Contribute to and improve our deployment processes as we scale, if something isn't working, you'll be expected to fix it, not just flag it Your background looks something like: 2+ years in a SaaS implementation, deployment, onboarding, or customer-facing project management role A track record of managing multiple projects simultaneously without letting anything slip Experience working directly with end users through a software transition, you know how to bring sceptical people along Veterinary, healthcare, or clinical workflow experience (nice to have, a genuine interest counts) Familiarity with B2B SaaS deployment cycles, from scoping and configuration through to training and go-live (nice to have) As a person, you: Are a natural problem solver, when something breaks mid-deployment, you stay calm, think fast, and get it sorted Are resilient, you hear no, push back professionally, and keep moving without taking it personally Are genuinely outgoing and enjoy building relationships with customers, not just completing transactions with them Take real ownership, your deployments are your projects, your customers, your outcomes Are excited to work in-person from our Paddington, London HQ Are always looking for ways to improve the process, not just follow it What does success look like in 6 months? You're managing a portfolio of deployments independently and consistently delivering strong customer feedback You've dived into parts of the business beyond your immediate role, and already have ideas about how to make things better Practices you've deployed are live, confident, and advocates for Lupa, not just users of it

Lupa Pets is seeking a dedicated individual to oversee veterinary practice onboardings. This role involves managing projects from initiation to completion, training staff on the Lupa platform, and ensuring successful implementations while delivering excellent customer service. The ideal candidate will have 2+ years of experience in a SaaS project management role, strong problem-solving abilities, and a passion for improving processes. This position requires on-site work at our Paddington, London headquarters.

About Us Lupa is building a category defining product the industry has never seen before. We're the AI-native operating system for veterinary practices and pet parents, replacing the fragmented, clunky systems vets have tolerated for years with a single intelligent platform for scheduling, client communication, clinical documentation, and AI-driven care guidance. Practices run more efficiently, vets get back to doing what they love, and pet parents feel more connected to their animals' health than ever. The traction speaks for itself: one of Europe's top 100 AI startups with a team of 50 people, 10x growth in twelve months, the UK market leader, and now charging hard into the US and Europe. We have $25M in funding, 1M+ pets on the platform, and a buzzing HQ in Paddington, London. This is a rare chance to join a rocket ship at exactly the right moment and we're looking for exceptional people to help us fly it. In this role, you will: Own the analytics layer of our data platform; writing, structuring, and maintaining the SQL models that power dashboards, product metrics, and business intelligence across Lupa Transform raw data from our platform into clean, reliable, well-documented datasets that Product, Engineering, and Commercial teams can actually use Build and maintain reports that give the business a clear picture of clinical outcomes, practice performance, customer health, and growth metrics Define and enforce data modelling best practices, including naming conventions, documentation standards, and testing coverage Partner closely with the wider Data team to ensure analytics models sit on top of solid, well-engineered pipelines Work directly with stakeholders across the business to understand what they need to know, translate that into clean SQL, and deliver answers that drive decisions Your background looks something like: 2-3 years of hands on experience in an analytics engineering, SQL engineering, or BI engineering role Exceptional SQL skills, you write complex queries fluently, understand query optimisation, and care deeply about data model structure and readability Solid experience with data modelling principles and building scalable, well tested analytics layers (dbt experience strongly preferred) Comfortable working with large, messy datasets and turning them into something clean, reliable, and trustworthy Experience in a B2B SaaS, health-tech, or fast-growth startup environment (nice to have) Familiarity with BI tooling such as Looker, Metabase, or similar (nice to have) As a person, you: Are proactive and self-structured, you create order in chaos and don't need a rigid process to do great work Communicate clearly and confidently with non-technical stakeholders, you can explain a data model to a sales lead without losing them Take ownership of data quality as a first principle, if something looks wrong, you investigate and fix it, you don't just flag it Thrive in a fast-moving environment where the data landscape is constantly evolving as the product grows Are excited to work in-person from our Paddington, London HQ Value working with people who are kind, ambitious, and pragmatic What does success look like in 6 months? You own the analytics layer with confidence, models are clean, documented, tested, and trusted across the business Stakeholders come to you first when they need to understand what's happening in the data, because they know you'll give them a straight answer You've made a visible impact on how the business uses data to make decisions

Lupa is seeking an analytics engineer to own the analytics layer of our data platform, writing, structuring, and maintaining the SQL models that power dashboards, product metrics, and business intelligence. You will transform raw data into clean datasets for Product, Engineering, and Commercial teams and build reports on clinical outcomes, practice performance, and customer health. This role is based at our Paddington, London HQ and requires collaboration with stakeholders to translate needs

Lupa Pets is seeking an analytics engineer to own the analytics layer of our data platform, writing and maintaining SQL models that power dashboards and product metrics across the business. You will transform raw data into clean datasets for Product, Engineering, and Commercial teams, partnering with the Data team to ensure robust pipelines and reliable reporting. This role is based at our Paddington HQ in London.

About Us Lupa is building a category defining product the industry has never seen before. We're the AI-native operating system for veterinary practices and pet parents, replacing the fragmented, clunky systems vets have tolerated for years with a single intelligent platform for scheduling, client communication, clinical documentation, and AI-driven care guidance. Practices run more efficiently, vets get back to doing what they love, and pet parents feel more connected to their animals' health than ever. The traction speaks for itself: one of Europe's top 100 AI startups with a team of 50 people, 10x growth in twelve months, the UK market leader, and now charging hard into the US and Europe. We have $25M in funding, 1M+ pets on the platform, and a buzzing HQ in Paddington, London. This is a rare chance to join a rocket ship at exactly the right moment and we're looking for exceptional people to help us fly it. In this role, you will: Own the analytics layer of our data platform; writing, structuring, and maintaining the SQL models that power dashboards, product metrics, and business intelligence across Lupa Transform raw data from our platform into clean, reliable, well-documented datasets that Product, Engineering, and Commercial teams can actually use Build and maintain reports that give the business a clear picture of clinical outcomes, practice performance, customer health, and growth metrics Define and enforce data modelling best practices, including naming conventions, documentation standards, and testing coverage Partner closely with the wider Data team to ensure analytics models sit on top of solid, well-engineered pipelines Work directly with stakeholders across the business to understand what they need to know, translate that into clean SQL, and deliver answers that drive decisions Your background looks something like: 2-3 years of hands on experience in an analytics engineering, SQL engineering, or BI engineering role Exceptional SQL skills, you write complex queries fluently, understand query optimisation, and care deeply about data model structure and readability Solid experience with data modelling principles and building scalable, well tested analytics layers (dbt experience strongly preferred) Comfortable working with large, messy datasets and turning them into something clean, reliable, and trustworthy Experience in a B2B SaaS, health-tech, or fast-growth startup environment (nice to have) Familiarity with BI tooling such as Looker, Metabase, or similar (nice to have) As a person, you: Are proactive and self-structured, you create order in chaos and don't need a rigid process to do great work Communicate clearly and confidently with non-technical stakeholders, you can explain a data model to a sales lead without losing them Take ownership of data quality as a first principle, if something looks wrong, you investigate and fix it, you don't just flag it Thrive in a fast-moving environment where the data landscape is constantly evolving as the product grows Are excited to work in-person from our Paddington, London HQ Value working with people who are kind, ambitious, and pragmatic What does success look like in 6 months? You own the analytics layer with confidence, models are clean, documented, tested, and trusted across the business Stakeholders come to you first when they need to understand what's happening in the data, because they know you'll give them a straight answer You've made a visible impact on how the business uses data to make decisions

Lupa Pets is looking for a dedicated Customer Support Specialist to join their team in London. In this role, you will be responsible for managing customer support queries and ensuring high satisfaction levels through effective problem-solving and communication. The ideal candidate will have a strong background in customer support, excellent organizational skills, and experience with relevant tools like Intercom or Zendesk. Lupa values proactive individuals who want to improve the support function.

In this role, you will: Triage, investigate, and resolve customer support queries across email and live chat, owning each case through to resolution Develop and maintain deep product knowledge, becoming the go-to expert for platform questions inside the team Identify, document, and escalation recurring issues to Success and Product with clear context and evidence Contribute to and maintain the internal knowledge base, writing documentation that reduces repeat queries Represent Lupa at client events and in direct customer conversations with confidence and credibility Monitor your response times, resolution rates, and CSAT scores, and actively look for ways to improve them Your background looks something like: Solid background in a customer support role ideally at a SaaS business or a consumer brand known for exceptional service Excellent written communication, your responses are clear, concise, warm, and free of jargon The organisational ability to manage multiple open cases simultaneously without letting anything slip A proactive approach to product knowledge, you stay on top of new features and known issues without being reminded Hands-on experience with Intercom, Zendesk, Freshdesk, or similar (nice to have) Some exposure to technical troubleshooting, reading logs, understanding API behaviour, working with engineering on bug reproduction (nice to have) Experience supporting customers in healthcare, veterinary, or a regulated industry (nice to have) As a person, you: Take real pride in solving problems properly, not logging a ticket and moving on, but diagnosing, fixing, and explaining Stay calm, clear, and constructive even when customers don't Have a genuine drive to improve the support function, not just maintain it Are excited to work in person from our Paddington, London HQ (or equivalent location) Value working with people who are kind, ambitious, and pragmatic What does success look like in 6 months? You can resolve any support query independently and know the product and internal processes inside out You're consistently hitting strong CSAT and resolution time metrics (SLAs) Your documentation contributions are saving the team real time every week

Lupa Pets, located in Paddington, London, is seeking a Data Engineer. In this role, you'll design and build data pipelines from inception to production-ready datasets that the engineering and product teams rely on. The ideal candidate has multiple years of data engineering experience, strong Python skills, and knowledge of Apache Spark and AWS services. You'll own data quality and proactively monitor pipeline health. This position requires a proactive mindset and collaboration with engineering teams.

In this role, you will: Design and build data pipelines from raw ingestion through to clean, modelled, production ready datasets that engineering and product teams rely on Own data quality across your domain, defining standards, instrumenting checks, and resolving failures with urgency Monitor pipeline health in production and respond to issues proactively, not reactively Collaborate with engineering and product to understand data requirements and turn them into robust, scalable solutions Help define and evolve the architecture of our data platform as we scale across new geographies and product surfaces Document your work clearly so the team can understand, extend, and maintain what you build Your background looks something like: Multiple years of hands on data engineering experience in a professional setting Strong Python skills and a demonstrated ability to build pipelines from scratch, not just extend existing ones Solid knowledge of data modelling and practical experience with Apache Spark, AWS services, Docker, and Airflow Experience in a startup or fast growth environment where you've made pragmatic decisions under uncertainty Scala experience (nice to have, we're happy to invest in teaching it if your foundations are strong) Familiarity with dbt, Delta Lake, or similar modern data transformation tooling (nice to have) Exposure to ML pipelines or feature stores (nice to have) As a person, you: Have a proactive, ownership oriented mindset. You don't wait to be told something is broken Take genuine pride in craft and correctness, and hold yourself to a high bar Collaborate well with engineering teams who consume your data and communicate clearly across functions Thrive in environments where you're expected to build from scratch, not inherit a tidy queue of tickets Are excited to work in person from our Paddington, London HQ (or equivalent location) What does success look like in 6 months? You've built and shipped at least two meaningful pipelines end to end You own a defined area of the data platform and are making architectural calls with confidence The team trusts your judgement without needing to review every decision