Product Engineer

Senior Product Engineer - Insights

Nory

SENIOR PRODUCT ENGINEER - INSIGHTS LET'S FIX HOSPITALITY, FOR GOOD. Hospitality runs on thin margins, and most operators are stretched trying to protect them. We built Nory. Our CEO, Conor, knows the pain first-hand. He founded and scaled Mad Egg in Ireland and grew tired of stitching together so-called market-leading systems and spreadsheets just to keep the business running. He set out to build the tool he wished he'd had from day one. Nory is a restaurant management system that blends real-time data with AI predictive analytics to give operators real control of their margins. From food prep to forecasting, it is the operational intelligence that helps restaurants run profitably, with less waste and better jobs for the people working in them. Fresh off a Series B led by Kinnevik, we've grown to over 100 people across Ireland, the UK, Spain and New York. Demand is scaling faster than we expected. The role We're looking for a Senior Product Engineer to join our Insights Squad. This is a full-stack, product-focused role on the squad that builds Nory's scheduling and forecasting. You'll work across the full stack, with backend as your foundation, which is where the hardest problems on this team live. As a product engineer, you'll help shape what gets built, working alongside our product and design functions. You'll speak to customers directly, make trade-off decisions without perfect information, and define and ship MVPs that you then improve on real feedback. The squad and the moment: The Insights squad is, in practice, our applied data science team. We own the whole journey, from the data pipeline through to the customer-facing product that operators rely on every day. Right now we are taking our scheduling assistant to general availability and building out our forecasting engine, predicting sales and orders across one-day, one-week and two-week horizons and making those predictions reliable in every restaurant setting. These are genuinely hard computer science problems, and we solve them inside a real, evolving system where we balance shipping quickly against the refactoring that keeps us fast. A lot of the work sits in the space between software engineering and machine learning, in close partnership with our data scientists. We're stack-agnostic in hiring and care most about strong fundamentals and the ability to ramp quickly. Our current stack is Python, FastAPI, React, TypeScript, Node.js, AWS (Fargate, Aurora, SQS), Postgres, MongoDB, and Docker. WHAT YOU'LL BE DOING Our squads are cross-functional and run with a lot of autonomy. You'll own problems end to end, from discovery through to production and iteration, working closely with product, design, data and customer success in a tight feedback loop with real customers. Key projects you'll be working on: * Build the systems that turn raw restaurant data into real-time insight, helping operators spot opportunities and protect their margins. * Develop embedded analytics that surface the right insight at the right moment inside the product, so operators can act on it without leaving Nory. * Ship enhancements to our forecasting engine, making predictions more accurate and easier to trust, so operators rely on them to plan. * Extend the Insights platform with new capabilities across cost management and business performance, including the move towards dynamic pricing. * Help build a self-serve analytics layer that lets operators explore their own data and understand how the business is performing without needing external tools. * Work on our customer feedback module, where sentiment analysis and automation help brands stay on top of their online presence. * Work closely with peers in Product, Design and Engineering to ship quickly and keep our technical standards high as we scale. WHAT YOU'LL BRING * Backend depth is the primary bar. You've built and owned production backend systems that real customers depend on, including APIs, data models and distributed services. You can talk through specific data modelling decisions you made yourself, the constraints you were working within and why you made the calls you did. You design for the ways a system fails, not only for the path where everything goes right. * You're comfortable across the full stack. You've shipped front-end work in React and TypeScript alongside your backend work, and you move between the two depending on what the problem needs. This squad works closer to an even split between front-end and backend than most, and we want someone who can own work on both sides. * You own problems, not tickets. You can point to things you personally shaped, where you pushed back when a requirement was vague or proposed a different route when the original plan was wrong, and you took responsibility for how it turned out. When you describe your work, you tend to say "I decided" rather than "we decided." * You've built in constrained environments. Whether that was a startup, a high-stakes project inside a larger company or a greenfield build on a tight deadline, you've worked through real ambiguity and shipped something that mattered. You know what an MVP actually is, because you've shipped one. * You engage with customers directly. You've spoken to users, let what you heard change what you built, and can give a specific example of when it did. You treat customer feedback as part of the engineering job and stay close to it. * You're pragmatic under pressure. You've deliberately shipped something rough to get feedback quickly, and you know when a problem needs the right solution and when it needs the fastest one that proves the point. BONUS POINTS * Experience building B2B products at scale, with high volumes of users, traffic or data. * Experience with analytics-driven products, where accuracy and reliability decide whether customers trust what they see. * Professional experience with Python, which is a real plus on this squad. * A background in forecasting, scheduling, optimisation or other applied data science work, or comfort building alongside machine learning models in production. * Experience in hospitality, food service or another operational industry where software has to hold up in the real world. * A track record of staying with a company as it grew and taking on harder problems over time, rather than moving on quickly. OUR STACK Python, FastAPI, React, TypeScript, Node.js, AWS (Fargate, Aurora, SQS), Postgres, MongoDB, Docker WHAT YOU'LL GET IN RETURN * Remote-first working environment * Competitive salary depending on experience * Meaningful equity. At Nory, everyone is an owner * 35 days of paid leave per year (including bank holidays) * Comprehensive private health insurance via Irish Life (Ireland) and AXA (UK) * Enhanced parental leave and baby loss support * Learning and development culture, with a €1,000 personal annual budget plus a quarterly book budget * €250 home office workspace budget * Regular team offsites and socials * Work from anywhere for up to 3 months of the year * Offices in London, Dublin, or Spain HOW WE WORK Our vision is to build a better future for the restaurant industry, one where operators are in control of their businesses and the people on the floor can build careers they are proud of. To get there we move fast, stay focused and hold ourselves to a high bar. Our values guide how we work and grow together. * We serve up impact with a side of profit. We prioritise work that delivers real financial results for our restaurant partners * We prioritise speed of service. We move fast, unblock each other and deliver with urgency * We act like owners. We take problems on, raise the bar and build better every day * We win as a crew. We grow stronger through feedback, collaboration and shared wins WE HIRE HUMANS. At Nory, we believe that diverse teams build better products. We welcome applicants from all backgrounds, identities, and walks of life. We do not discriminate based on gender, ethnicity, sexual orientation, religion, family status, age, disability, or race. What matters to us is how you think, how you work, and what you bring to the table.

Staff Engineer, DevOps

LearnUpon

Work Mode: Hybrid 1+ day per week in our Dublin office Department: Engineering   ABOUT THE COMPANY  LearnUpon partners with over 1,600 organisations globally to unlock the potential of employees, customers & members through learning that’s easy, scalable and focused on results. Read more about life at LearnUpon here.    ABOUT THE TEAM Our Engineering team builds and delivers our best-in-class, world-scale Learning Management System (LMS). We focus on architectural excellence, reliability, and technical innovation across multiple teams and services. Operating with high ownership and deep technical expertise, we champion engineering best practices, seamless automation, and a strong culture of collaborative mentorship to support LearnUpon's global product growth.   ABOUT THE OPPORTUNITY As a Staff Engineer, DevOps, you'll be a key technical leader and role model within LearnUpon. You'll shape the DevOps architecture of our best-in-class LMS, influence our technical strategy, and elevate the skills of our entire engineering organization. Your impact will extend beyond our product, contributing to our mission of building robust, lovable learning products that help customers achieve results. In addition, you’ll be responsible for: * Architecture & Strategy: Drive technical innovation, shape our long-term technical roadmap, and establish scalable DevOps architecture across multiple platform services * Automation & CI/CD: Establish and scale robust CI/CD pipelines and infrastructure automation, driving best practices across the engineering organization * Operational Excellence: Champion absolute standards for code quality, system design, scalability, and cloud production reliability * Mentorship & Leadership: Provide strategic technical guidance, acting as a prominent role model to uplevel the skills of our entire engineering and senior technical talent pool * Stakeholder Alignment: Collaborate closely with Product Engineering and cross-functional leadership to align infrastructure capabilities with business goals   SKILLS & EXPERIENCE  Must-Haves                                                                          * Proven expertise in cloud infrastructure, particularly within AWS environments, with an advanced understanding of production scalability, security, and reliability * Strong production experience working with Kubernetes and Helm charts as the foundational layer for container platform orchestration * Deep proficiency in Infrastructure as Code (IaC) frameworks like Terraform or Ansible, focusing on modular and reusable architecture patterns * Extensive background designing CI/CD pipelines (GitLab preferred) and engineering automated internal tooling using Bash, Python, or Go * Demonstrated success leading large-scale technical initiatives that span across multiple engineering squads and services * Track record of mentoring, coaching, and elevating senior-level technical talent * Experience using AI tools to streamline tasks and improve efficiencies   Nice-to-Haves * Familiarity with GitOps deployment workflows using tools such as ArgoCD or FluxCD * Prior experience optimizing massive multi-tenant platform infrastructure within a high-growth B2B SaaS architecture *If you don’t tick every box but believe this role is a mutually good fit, please don’t hesitate to apply. We’d love to hear from you.   WHY CHOOSE LEARNUPON? From comprehensive rewards and generous time off to meaningful investment in your growth and development, LearnUpon gives you the support, trust, and opportunity to do the most impactful work of your career. Learn more here.    HIRING PROCESS * Qualified applicants may be invited to an initial screening call with a member of our TA Team. * Successful candidates will be invited to a series of practical interviews. * Finally, candidates will have an interview with our CTO. * Successful candidates will be contacted with an offer to join our team.   Note: At LearnUpon, we utilise AI to enhance the speed and quality of our screening and assessment practices, but our hiring decisions are always human.    LearnUpon is an Equal Opportunities Employer.  We do not discriminate on the basis of gender, marital status, family status, age disability, sexual orientation, race, religion, membership of the Traveller community, or any other legally protected status.   Check out our Careers site and Instagram to learn more about working at LearnUpon.   By submitting your application, you agree to LearnUpon's Privacy Policy.

Open Positions at InteractiveAI

InteractiveAI

WHAT YOU’LL DO We’re hiring across several functions — including Product Engineering, AI/Platform Engineering, Client Integrations, Product, Marketing, and Corporate Operations. Depending on your background and the role you apply for, you may: * Architect, design, and ship production-grade software and platform features * Build customer-facing integrations and implementation workflows * Contribute to product strategy, research, and roadmap execution * Support enterprise deployments and solution delivery teams * Support company growth through high-impact marketing, sales & PR initiatives * Improve internal operations, processes, and cross-functional workflows * Help scale core business functions such as finance, operations, and people Regardless of your discipline, you will: * Work on high-impact initiatives central to our product and company roadmap * Collaborate closely with engineering, product, design, AI, delivery, and leadership teams * Operate with high ownership, autonomy, and speed in a fast-moving environment * Contribute to shaping the systems, culture, and best practices of a scaling startup WHAT WE’RE LOOKING FOR We’re looking for exceptional people across technical and non-technical roles — individuals who combine strong foundations with a builder mindset. Minimum Requirements (across all positions): * 4–10+ years of experience in a relevant discipline * Proven track record of delivering high-quality work with measurable impact * Ability to operate independently and thrive in ambiguity * Strong communication skills and ability to work cross-functionally * A high level of ownership, accountability, and execution speed * Motivation to join an early-stage, high-intensity environment Nice-to-Haves (role-dependent): * Experience in fast-growing startups or enterprise SaaS * Exposure to AI/ML products, data workflows, or agentic systems * Experience integrating with enterprise platforms or ecosystems * Familiarity with cloud infrastructure, modern design systems, or enterprise GTM * Contributions to open-source, product communities, or operational playbooks * Direct experience with customer-facing enterprise environments WHAT YOU’LL GET * Competitive base salary (typically €50,000–€110,000/yr, depending on seniority & discipline) + performance bonuses * Access to equity/share plan as it rolls out * Health & wellness allowances * Private health insurance * Flexible work setup + occasional travel (ideally Hybrid in Lisbon or Madrid) * 20-25 days of holidays/paid time off (excluding local public holidays) WHO YOU ARE * Proactive & Resourceful: You solve problems without waiting for direction. * High-Ownership: You deliver with urgency, quality, and consistency. * Execution-Driven: You enjoy shipping impactful work in fast cycles. * Collaborative: You communicate clearly and elevate the people around you. * Builder: You thrive in environments where things need to be created, improved, and iterated. INTERVIEW PROCESS We keep our process focused and respectful of your time. Most candidates complete it in 2–3 weeks. 1. Intro Call – 30 minutes to align on fit and expectations 2. Technical / Functional Interview – Role-specific deep dive 3. Practical Assessment – Tailored to your discipline 4. Team Interview – Collaboration, communication, and working style 5. Cultural & Values Interview – Ensuring alignment on how we operate 6. Offer – Final conversation and offer We’re forming a team of builders — people who care about impact, quality, and growth. If that’s you, apply at careers@interactive.ai.