BigQuery

Join Truecaller – The place where innovation meets impact! Truecaller's mission is to build trust in communication by making it safer, smarter, and more efficient. Born in Sweden, trusted by the world, and here’s why we stand out: * We are trusted by over 450 million active users every month across 190+ countries * We identify over 15 billion calls daily, helping users avoid spam and scams * We are powered by a team of 450+ employees from 45+ nationalities We always look for people who take initiative, own their work, and keep raising the bar. An entrepreneurial mindset matters here, especially when it turns bold ideas into real actions. We stay collaborative and focused, always searching for smarter paths forward. If you want to make an impact and grow with a team that inspires millions, you’ll fit right in. The role:  As a Senior Data Analyst, you’ll be responsible for the team's quantitative insights. From understanding our data, identifying problems, to working with product, tech, and design on hypothesizing solutions. You’ll be the driver of our experimentation and learning efforts and will collaborate with different teams. What you will do * Understanding Truecaller's data. * Taking ownership of quantitative insights for your team, playing a crucial role in product development. * Defining experiments, overseeing their setup, and analyzing their results to drive decision-making. * Developing and maintaining key performance indicators (KPIs) for the team, ensuring their tracking, reliability, and reporting. * Creating data pipelines and dashboards to measure the team's KPIs and effectively communicate insights to both the team and leadership. * Coaching and mentoring the team on experimentation and data-driven product development processes, fostering a culture of data-driven decision-making. What you bring in * 5+ years of experience in Data Analytics * Experience in using SQL to extract, transform, and analyse data * Experience in data visualisation tools  like Looker (preferred), QlikSense, Tableau, or Power BI * Experience in mentoring, coaching, and evangelizing about data in product development * Experience in digging into different data sources to understand why specific customer behaviours happen * Fluent in spoken and written English It would be great if you also have * Big data query tools (we use BigQuery). * Experience with data from mobile applications. What we offer: We support growth through learning resources, leadership programs, mentoring, and real hands-on work. People can move between teams and projects to build new skills and keep things interesting. We offer clear internal mobility and a transparent path for progression, with leaders who stay involved and provide guidance throughout the year. In addition, you will benefit from: * A comprehensive compensation package: We offer a competitive salary, 30 days of paid vacation, private health insurance, parental leave top-up, pension, and wellness contributions. * Modern tools to do your best work: Choose your preferred computer and phone within our budget, so you can work comfortably and efficiently. * A people-focused office culture: We value in-person collaboration and follow an office-first model, with some flexibility. Our offices offer a vibrant environment with opportunities to learn, connect, and recharge, from breakfast, lunch, and well-stocked snack stations and quiet spaces to team activities such as movie nights, tech meetups, and cultural events. There's something for everyone. * Truecaller’s “Lab Days” offer a space for imagination: 5 times per year for 3 days, where everyone steps away from their normal tasks to explore new, bold ideas and build things they’ve always wanted to. It’s a space where curiosity leads the way, and prototypes take shape. Some concepts even make it into production, and a few have grown into real features used by millions today. Lab Days allow you to be creative, learn fast, and help shape Truecaller's future. Come as you are: Truecaller is committed to building a diverse and inclusive team. We believe that a wide range of backgrounds, perspectives, and experiences strengthens our products and our culture. No matter where you're from, what language you speak, or how you identify, we value what makes you unique and would love to get to know you. Check out Life at Truecaller - Behind the code: https://www.instagram.com/lifeattruecaller/ Sounds like a great opportunity? We will fill the position as soon as we find the right candidate, so please send your application as soon as possible. As part of the recruitment process, we will conduct a background check. We only accept applications in English.

Join our global force of 400+ innovators, blending the latest in tech with the greatest in soundtracking — from our Stockholm HQ to offices in London, New York, Los Angeles, Berlin, Paris, Oslo, and Seoul. We're an industry leader with a startup mentality. We take what we do seriously, but we don't take ourselves too seriously. Come create with us, and let the world feel your work. As a Senior Data Analyst, you'll join an embedded, AI-native analytics team that sits inside the commercial and product domains driving our growth. You'll work closely with DRM and Music leadership — and the product team — as we grow our Music & DRM business. On the DRM side, you'll validate the metrics that matter, build business cases that motivate product investment, and back our position in platform negotiations. On the Music side, you'll help leadership make better decisions faster: shaping how we think about capex and acquisition tradeoffs, making our biggest financial decisions more data-driven, and building a clear picture of how music moves across our platform and out into the world. You'll have a dedicated mandate spanning both DRM and Music while drawing on the shared infrastructure, engineering support, and peers of our central Data & Analytics team. WHAT YOU'LL DO * Be a trusted thought partner to Music and DRM leadership. Bring structured thinking to high-stakes questions, sanity-check what we measure, and proactively raise the questions stakeholders haven't thought to ask. * Build the business cases that move decisions forward. Turn platform data into the commercial case for what we should build next, and put hard numbers behind contract terms, rate changes, and revenue-share positions where the stakes are real money. * See around corners. Bring data-driven insights around our music investments, and build a deep understanding of how different customer segments use our music — so we can anticipate where demand is heading before it shows up in the numbers. * Connect what happens on our platform with how music performs in the world. Run deep-dives that combine internal and external data to explain why a metric moved, where value is being left on the table, and where the growth opportunities are. * Make our data trustworthy for agentic analytics — enrich context and metadata, and use AI coding tools to ship instrumentation and data-quality fixes directly so both people and AI tools can rely on it. * Uphold analytical rigour as self-serve expands. Push back on false precision in revenue and accrual estimates, set the bar for what good analysis looks like, and resist unnecessary complexity where a simpler approach serves the decision better. WHAT YOU'LL BRING * Senior-level influence. You've driven real business impact by shaping decisions at the leadership level and moving revenue outcomes. * High agency. Habit of driving decisions through tailored communication and data storytelling. * Sharp analytical instincts. You scope vague questions with vetted frameworks, state hypotheses up front, and reason to a defensible answer even with imperfect data. * Sound judgement about data. A solid grasp of statistics and the discernment to know when past data predicts the future and when to override it for where the business is heading. * Technical versatility. Proficiency across SQL and Python (notebooks in Hex), dbt (on BigQuery), plus experience with AI coding tools and techniques including context engineering and evals. * Platform curiosity. You don't need prior rights-management experience, but you're genuinely curious to learn how the music platforms actually work, and how that connects to our business. MUSIC TO OUR EARS * Experience combining data across platforms — e.g. joining first-party product data with external platform data — to explain shifts in user behaviour. * Data modelling know-how and experience with semantic layers. * A track record of validating and refining metrics in a data-mature environment, and of building business cases that turned into real product investment. WHAT WE'LL OFFER * A fast-paced environment with real room for personal growth and tangible impact on the business. * The chance to help write the new playbook for running Analytics in the AI era, combining timeless principles with fresh learnings from emerging tooling. * A diverse, collaborative team of Analysts and Engineers building together. EQUAL OPPORTUNITY EMPLOYER We believe that bringing people together from different backgrounds, experiences and perspectives makes for a healthy workplace, a more successful business and a better world. We value diversity and encourage everyone to come and soundtrack the world with us. APPLICATION Ready to make the world feel your work? Please apply, in English.

Join Truecaller – The place where innovation meets impact! Truecaller's mission is to build trust in communication by making it safer, smarter, and more efficient. Born in Sweden, trusted by the world, and here’s why we stand out: * We are trusted by over 450 million active users every month across 190+ countries * We identify over 15 billion calls daily, helping users avoid spam and scams * We are powered by a team of 450+ employees from 45+ nationalities We always look for people who take initiative, own their work, and keep raising the bar. An entrepreneurial mindset matters here, especially when it turns bold ideas into real actions. We stay collaborative and focused, always searching for smarter paths forward. If you want to make an impact and grow with a team that inspires millions, you’ll fit right in. The role:  As a Staff Data analyst, you’ll be responsible for the team's quantitative insights. From understanding our data, identifying problems, to working with product, tech, and design on hypothesizing solutions. You’ll be the driver of our experimentation and learning efforts and will collaborate with different teams. What you will do * Understanding Truecaller's data. * Taking ownership of quantitative insights for your team, playing a crucial role in product development. * Defining experiments, overseeing their setup, and analyzing their results to drive decision-making. * Developing and maintaining key performance indicators (KPIs) for the team, ensuring their tracking, reliability, and reporting. * Creating data pipelines and dashboards to measure the team's KPIs and effectively communicate insights to both the team and leadership. * Coaching and mentoring the team on experimentation and data-driven product development processes, fostering a culture of data-driven decision-making. What you bring in * 6-10 years of experience in Data Analytics * Experience in using SQL to extract, transform, and analyse data * Experience in data visualisation tools  like Looker (preferred), QlikSense, Tableau, or Power BI * Experience in mentoring, coaching, and evangelizing about data in product development * Experience in digging into different data sources to understand why specific customer behaviours happen * Fluent in spoken and written English It would be great if you also have * Big data query tools (we use BigQuery). * Experience with data from mobile applications. What we offer: We support growth through learning resources, leadership programs, mentoring, and real hands-on work. People can move between teams and projects to build new skills and keep things interesting. We offer clear internal mobility and a transparent path for progression, with leaders who stay involved and provide guidance throughout the year. In addition, you will benefit from: * A comprehensive compensation package: We offer a competitive salary, 30 days of paid vacation, private health insurance, parental leave top-up, pension, and wellness contributions. * Modern tools to do your best work: Choose your preferred computer and phone within our budget, so you can work comfortably and efficiently. * A people-focused office culture: We value in-person collaboration and follow an office-first model, with some flexibility. Our offices offer a vibrant environment with opportunities to learn, connect, and recharge, from breakfast, lunch, and well-stocked snack stations and quiet spaces to team activities such as movie nights, tech meetups, and cultural events. There's something for everyone. * Truecaller’s “Lab Days” offer a space for imagination: 5 times per year for 3 days, where everyone steps away from their normal tasks to explore new, bold ideas and build things they’ve always wanted to. It’s a space where curiosity leads the way, and prototypes take shape. Some concepts even make it into production, and a few have grown into real features used by millions today. Lab Days allow you to be creative, learn fast, and help shape Truecaller's future. Come as you are: Truecaller is committed to building a diverse and inclusive team. We believe that a wide range of backgrounds, perspectives, and experiences strengthens our products and our culture. No matter where you're from, what language you speak, or how you identify, we value what makes you unique and would love to get to know you. Check out Life at Truecaller - Behind the code: https://www.instagram.com/lifeattruecaller/ Sounds like a great opportunity? We will fill the position as soon as we find the right candidate, so please send your application as soon as possible. As part of the recruitment process, we will conduct a background check. We only accept applications in English.

About Lovable & Lovable Apps Platform Lovable is an AI-powered software creation platform. Millions of users use Lovable to go from idea to working application, generating hundreds of thousands of apps every day. The Lovable Apps Platform is what makes those generated apps actually run in production. The moment a user hits deploy, the Apps Platform takes over — provisioning the database, handling user auth, storing files, serving the app over a custom domain, capturing logs, and metering usage. It's the full backend and hosting layer for every app built on Lovable, designed so creators never have to think about infrastructure to ship something real. The Lovable Apps Platform is what makes those generated apps actually run in production. The moment a user hits deploy, the Apps Platform takes over — provisioning the database, handling user auth, storing files, serving the app over a custom domain, capturing logs, and metering usage. It's the full backend and hosting layer for every app built on Lovable, designed so creators never have to think about infrastructure to ship something real. The Apps Platform is growing fast, and we're investing heavily in each layer of the stack — building deeper ownership over the services that power our users' apps so we can move faster, scale better, and shape the product experience us and our users actually want. The Role We're looking for product-minded fullstack engineers who can own end-to-end slices of our Lovable Apps Platform. You'll build the interfaces, APIs, and integrations that let Lovable users manage their cloud resources — from admin panels and analytics dashboards to vendor abstraction layers and the AI gateway. This is the highest-surface-area layer of the stack: identity, logging, metering, workflow engine, buckets, database connection strings, secrets, custom domains, and connectors. What You'll Do * Create UX for our users to build with Apps Platform features * Build and own platform services like identity, logging, metering, workflow engine, object storage, secrets * Create abstraction layers for deep integrations with key partners and vendors What We're Looking For * Strong fullstack background: deep comfort with TypeScript/React on the frontend and Node.js or similar on the backend * Experience building and operating SaaS platform features — auth flows, metering/billing pipelines, API gateways, or developer tooling * Product instinct: you think in user outcomes, not just API endpoints * Comfort working with third-party services and building clean abstractions over vendor APIs Familiarity with managed cloud services (AWS, GCP) and the tradeoffs of buy-vs-build * Experience with observability, logging, or metering systems is a strong plus * You've shipped features in fast-moving, high-ownership environments where you wore multiple hats * Experience with DNS, TLS/SSL automation, and custom domain provisioning at scale Nice to Have * Experience with BaaS or PaaS platforms (Supabase, Firebase, Vercel, Render, etc.) * Familiarity with TanStack Router/Query or similar modern frontend stacks * Background in developer experience or developer tools * Interest in AI-assisted development and how cloud infrastructure enables it Our tech stack We're building with tools that both humans and AI love. Lovable software engineers are capable of working across the whole stack. Examples of tech in our stack include: * Frontend: React and Typescript. * Backend: Golang and Rust. * Cloud: Cloudflare, GCP, AWS * Data: Clickhouse, Firestore, Spanner, BigQuery. * DevOps & Tooling: CI/CD pipelines, OTEL, Kubernetes, Terraform. And always on the lookout for what's next!   About your application * Please submit your application in English - it’s our company language so you’ll be speaking lots of it if you join * We treat all candidates equally - if you’re interested please apply through our careers portal

SENIOR DATA ANALYST Join our global force of 400+ innovators, blending the latest in tech with the greatest in soundtracking — from our Stockholm HQ to offices in London, New York, Los Angeles, Berlin, Paris, Oslo, and Seoul. We're an industry leader with a startup mentality. We take what we do seriously, but we don't take ourselves too seriously. Come create with us, and let the world feel your work. As a Senior Data Analyst, you'll join an embedded, AI-native analytics team that sits inside the commercial and product domains driving our growth. You'll work shoulder-to-shoulder with the CPO and product teams as we evolve from a music-library product into a broader creative-workflow platform, defining what success looks like for surfaces that don't exist yet and proving it with data. WHAT YOU'LL DO * Partner with the CPO and product teams to define success metrics, surface growth opportunities, and shape product strategy with evidence. * Stand up and advise on measurement for new product experiences end to end — instrumentation, KPI design, and leading-indicator tracking. * Run the full analytics stack — from descriptive analysis through experimentation — to evaluate performance and drive decisions. * Close data gaps and build scalable, self-serve measurement infrastructure so teams can monitor long-term impact without you in the loop. * Make our data trustworthy for agentic analytics by resolving gaps and enriching context and metadata so both AI tools and people can rely on it. WHAT YOU'LL BRING * Strong stakeholder management and business acumen. Track record of influencing senior decision-makers. * High agency. Habit of driving decisions through tailored communication and data storytelling. * Sharp analytical instincts. You scope vague questions with vetted frameworks, state hypotheses up front, and reason to a defensible answer even with imperfect data. * Sound judgement about data. A solid grasp of statistics and the discernment to know when past data predicts the future and when to override it for where the business is heading. * Technical versatility. Proficiency across SQL and Python (notebooks in Hex), dbt (on BigQuery), plus experience with AI coding tools and techniques including context engineering and evals. * Experienced experimentalist. Fluent in A/B testing and causal inference. MUSIC TO OUR EARS * Data modelling know-how and experience with semantic layers. * Experience in PLG and SaaS environments (B2C and/or B2B). * A track record of defining metrics for new 0→1 product surfaces. WHAT WE'LL OFFER * A fast-paced environment with real room for personal growth and tangible impact on the business. * The chance to help write the new playbook for running Analytics in the AI era combining timeless principles with fresh learnings from emerging tooling. * A diverse, collaborative team of Analysts and Engineers building together. EQUAL OPPORTUNITY EMPLOYER We believe that bringing people together from different backgrounds, experiences and perspectives makes for a healthy workplace, a more successful business and a better world. We value diversity and encourage everyone to come and soundtrack the world with us. APPLICATION Ready to make the world feel your work? Please apply, in English.

TL;DR: We're looking for a world-class Penetration Tester with a name in the field. You'll push Lovable's platform to its limits, hunt vulnerabilities across our AI pipelines and user-generated code, and make sure attackers never get there before you do. Why Lovable? Lovable lets anyone and everyone build software with any language. From solopreneurs to Fortune 100 teams, millions of people use Lovable to transform raw ideas into real products - fast. We are at the forefront of a foundational shift in software creation, which means you have an unprecedented opportunity to change the way the digital world works. Over 2 million people in 200+ countries already use Lovable to launch businesses, automate work, and bring their ideas to life. And we’re just getting started. We’re a small, talent-dense team building a generation-defining company from Stockholm. We value extreme ownership, high velocity, and low-ego collaboration. We seek out people who care deeply, ship fast, and are eager to make a dent in the world. What we’re looking for * 12+ years of hands-on penetration testing experience across web, mobile, APIs, and cloud infrastructure. * A track record the field knows about: CVEs to your name, hall-of-fame credits in major bug bounty programs, or a reputation that precedes you. * Deep expertise in offensive security techniques: OWASP, MITRE ATT&CK, exploit development, privilege escalation, and lateral movement. * Hands-on experience using AI as part of your hacking workflow — not just testing AI systems, but actively leveraging it as an offensive tool. * Experience attacking AI-native products or LLM-integrated systems, including prompt injection, model abuse, and data exfiltration vectors. * Strong understanding of cloud environments (GCP, AWS, Cloudflare) and the attack surfaces they introduce. * Ability to translate complex findings into clear, prioritised reports that engineering teams can act on immediately. * Low ego, high output. You collaborate as naturally as you compete against systems. * Bonus: experience with red team operations, supply chain attacks, or mobile security (iOS/Android). Familiarity with SAST/DAST tooling. What you’ll do * Own offensive security end-to-end: plan and execute penetration tests across Lovable's web platform, mobile surface, APIs, cloud infrastructure, and AI pipelines. * Break our AI before others do: probe LLM integrations for prompt injection, jailbreaks, data leakage, and novel attack vectors unique to AI-generated code running in live products. * Stress-test user-generated code at scale: identify systemic vulnerabilities introduced when millions of users create and deploy real applications on Lovable. * Turn findings into action: work directly with engineering to prioritise, remediate, and verify fixes, closing the loop between discovery and resolution. * Raise the security bar org-wide: run internal red team exercises, contribute to threat modelling, and embed an attacker's mindset across the engineering culture. * Help make Lovable the most secure AI product in the market. Our Tech Stack * Frontend: React and TypeScript * Backend: Golang and Rust * Cloud: Cloudflare, GCP, AWS, multiple LLM providers * DevOps & Tooling: GitHub Actions, Grafana, OTEL, infra-as-code (Terraform) * Data: Clickhouse, Firestore, Spanner, BigQuery And we're always exploring what's next! About your application Please submit your application in English. It’s our company language, so you’ll be speaking lots of it if you join. We treat all candidates equally - if you’re interested, please apply through our careers portal.

About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy-to-deploy graph capabilities across any environment and data source; and an unmatched ecosystem trusted by 84 of the Fortune 100 and supported by the world’s largest graph community. Intelligence that works. Results that matter. Built to work everywhere and integrate with everything across every cloud for dynamic, personalized, and autonomous AI systems. We deliver quicker results, contextual knowledge, and solutions that impact customers and employees across the business. Our Vision:  At Neo4j, we have always strived to help the world make sense of data.   As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we’re disrupting how organizations leverage their data to innovate and stay competitive. THE ROLE Join the team behind Neo4j Graph Analytics for Snowflake, our Snowflake Native App that brings the full power of Neo4j Graph Data Science directly into customers' Snowflake accounts, with no data movement required. You'll work on a product that lives natively inside Snowflake: a containerized Java + Python runtime, a SQL-first API, and a release pipeline that ships graph analytics to enterprise data platforms. Our customers are data engineers and data scientists across financial services, supply chain, telco, and beyond, who use it to run PageRank, community detection, pathfinding, and node embeddings against the warehouses where their data already lives. This is a hands-on, mid-to-senior role at the intersection of graph analytics, cloud-native distribution, and DevOps, with a meaningful say in the platform's technical direction. WHAT YOU'LL DO * Build and evolve the Neo4j Graph Analytics for Snowflake application, embedding Neo4j Graph Data Science into the Snowflake platform. * Design and improve our SQL-facing API: stored procedures, UDFs, and the surface area customers call from their warehouses. * Own significant parts of the build, release, and deployment pipeline: Snowflake CLI, Gradle, container images, and the Java/Python runtimes that execute inside Snowpark Container Services. * Improve the platform's security posture: caller's rights vs. owner's rights stored procedures, restricted caller's rights (RCR), grants, and proactive image scanning. * Collaborate with customers and Solution Engineers to turn real-world requirements into scalable features. * Contribute to operational excellence: runbooks, release processes, observability, and reproducible dev environments. WHAT YOU'LL BRING * 4+ years of professional experience building and shipping production-quality software. * Strong SQL skills and real experience integrating with cloud data warehouses (Snowflake, BigQuery, Redshift, Databricks, or similar). * Solid grounding in at least one of Java or Python, and willingness to be effective in both. * A genuine DevOps mindset: comfortable owning build pipelines, container images, releases, and the operational side of a product. * Experience designing software for performance, scalability, and predictable cost on cloud infrastructure. BONUS POINTS * Hands-on experience with Snowflake, especially Native Apps, Snowpark Container Services, or building stored procedures and UDFs at scale. * Familiarity with Docker, OCI image registries, and security scanning tooling (Semgrep, Snyk, Trivy, etc.). * Understanding of graph theory and graph algorithms (centrality, community detection, pathfinding, embeddings), or strong curiosity to learn them. * Background in distributed systems, JVM performance tuning, or columnar/analytical query engines. Experience working in a distributed, remote-first team and shipping to enterprise customers. #Li-Hybrid Why Join Neo4j? Neo4j is, without question, the most popular graph intelligence platform in the world. We have customers in every industry globally, and our products are a proven product/market fit. Joining our team is an opportunity to shape the future of data and analytics. Below are just a few exciting facts about Neo4j.  * Neo4j is one of the fastest-scaling technology companies in this industry. It recently surpassed $200M in annual recurring revenue (ARR), doubling its ARR over the past three years.  * Raised the biggest funding round in database history ($325M Series F). Backed by world-class investors like Eurazeo, GV (formerly Google Ventures), and Inovia Capital, Neo4j has raised over $600M in funding and is currently valued at over $2Bn. This puts Neo4j among the most well-funded database companies in history. * 84% of the Fortune 100 and 58% of the Fortune 500 use Neo4j. Examples include Boston Scientific, BT Group, Caterpillar, Cisco, Comcast, Department for Education UK, eBay, NBC News, Novo Nordisk, Worldline, and others.  * Co-founder and CEO Emil Eifrem has built an amazing culture that prides itself on relationships, inclusiveness, innovation, and customer success. * Countless industry awards. Massive enterprises and individual developers/data scientists love Neo4j. A strong sense of community and ecosystem is built around the platform. * A recent Forrester Total Economic Impact™ Study cited Neo4j as delivering 417% ROI to customers.  Research shows that members of underrepresented communities are less likely to apply for jobs when they don’t meet all the qualifications. If this is part of the reason you hesitate to apply, we’d encourage you to reconsider and give us the opportunity to review your application. At Neo4j, we are committed to building awareness and helping to improve these issues.  One of our central objectives is to provide an inclusive, diverse, and equitable workplace for everyone to develop their potential and have a positive, career-defining experience. We look forward to receiving your application. Neo4j Values: Neo4j is a Silicon Valley company with a Swedish soul. We foster collaboration and each of us is empowered to contribute and put our innovative stamp on projects. We hire candidates who reflect the following Neo4j core values: (we)-[:VALUE]->(relationships) (we)-[:FOCUS_ON]->(userSuccess) (we)-[:THRIVE_IN]->(:Culture {type: [‘Open’, ‘Inclusive’]}) (we)-[:ASSUME]->(:Intent {direction:’Positive’}) (we)-[:WELCOME]->(:Discussions {nature: ‘IntellectuallyHonest’}) (we)-[:DELIVER_ON]->(ourCommitments)  Neo4j is committed to protecting and respecting your privacy. Please read the privacy notice regarding Neo4j's recruitment process to understand how we will handle the personal data that you provide.  More information at www.neo4j.com.   ©2026 Neo4j, Inc., Neo Technology®, Neo4j®, Cypher®, Neo4j Bloom™, Neo4j Graph Data Science Library™, Neo4j® Aura™, and Neo4j® AuraDB™ are registered trademarks or a trademark of Neo4j, Inc. All other marks are owned by their respective companies.

TL;DR Most engineering leadership roles ask you to trade the craft for the title. This one doesn’t. We’re hiring engineering managers who run organizations of 30+ and still know what their strongest engineers are working on this week. You’ll think end-to-end about the business, lead a workforce of humans and AI agents that’s rewriting what an engineering org even looks like, and stay close enough to the code to drop in as a tech lead when a problem demands it. WHY LOVABLE? Lovable lets anyone and everyone build software with any language. From solopreneurs to Fortune 100 teams, millions of people use Lovable to transform raw ideas into real products — fast. We’re at the forefront of a foundational shift in software creation, which means you have an unprecedented opportunity to change the way the digital world works. Lovable-built applications and websites are visited hundreds of millions of times a month, and our enterprise footprint is compounding fast. And we’re just getting started. We’re a small, talent-dense team building a generation-defining company from Stockholm. We value extreme ownership, high velocity, and low-ego collaboration. We seek out people who care deeply, ship fast, and are eager to make a dent in the world. WHAT THIS ROLE IS AND WHAT IT ISN’T * It is a senior engineering leadership role with scope. You’ll run an organization that spans product, platform, and applied AI - with other managers, senior engineers, and AI agents reporting in - and you’ll be accountable for what that organization ships, how it operates, and the business outcomes it drives. * It is still close enough to the work that you can drop into a Tech Lead role on a hard problem when the situation demands it. We don’t measure leadership IC time as a percentage. We measure it as the ability to pick up the work and ship at the bar you’re asking of your team. * It isn’t a role for managers who think of themselves as engineering-adjacent. You need to be credible in code, design, and on-call - and you need to want to be. * It isn’t a role for leaders who only think about engineering. We expect you to reason end-to-end about the business - economics, product, GTM, customers - and to make calls that are best for the company, not just best for your team. WHAT WE’RE LOOKING FOR * 15+ years of engineering experience, including 6+ years of people management at a pre-IPO startup, scale-up or frontier tech company, and at least 2 years of managing managers. Strong IC track record before management. * You’ve run an engineering organization of 30+ with managers and senior engineers reporting in. You can speak concretely about how you structured the org, how you hired up to that scale, and what you’d do differently. * Still hands-on at the Tech Lead level: you can pick up an unfamiliar codebase, design and ship a non-trivial change, run an incident, and review code at a high bar. You haven’t let your engineering muscle atrophy. * You’ve thought hard about humans and AI agents on the same team. What humans should and shouldn’t delegate. How productivity gets measured when the unit of work is shifting. Strong opinions, lightly held. * Comfortable navigating ambiguity and driving clarity at an organisational level, not just technically. You write the doc that aligns three teams instead of waiting for someone else to. * Deep technical credibility in at least one area - full-stack product (React/TypeScript + Go/Rust), platform and developer experience (Kubernetes, sandboxing, observability, CI/CD, application frameworks), or applied AI (training, evals, agent systems, model serving). * Cross-functional to your core and business-fluent: you work seamlessly across design, product, and go-to-market, and know how to bring people along with you; andable to reason end-to-end about unit economics, product strategy, GTM, and customer outcomes * Track record of building and growing teams: you’ve hired senior engineers others wanted to work with, grown managers under you who became great in their own right, and set up career growth and performance practices that didn’t require constant maintenance. People follow you between companies. * Based in Stockholm or London or ready to relocate — this is an on-site, 5-days-a-week role. WHAT YOU’LL DO In one sentence: Run the engineering organization that builds Lovable - humans and agents both - and stay close enough to the work to be the senior engineer in the room when it matters. * Lead engineering. Product, platform, and applied AI under one roof. Own the roadmap and the business outcomes the org is on the hook for. * Set technical direction across the org: drive the design docs and architectural decisions that span teams, push back hard on weak plans (including your own), and hold a high bar for what ships. * Shape engineering culture: how we ship, how we write code, how we hire, how we deploy agents. Set norms that outlast any single project. * Ship fast: at Lovable the question is always “how fast can we get this to users?” You bias toward production and pull research, prototypes, and experiments into reality on the order of days and weeks, not quarters. * Build the operating model for an engineering org where humans and AI agents work side by side. We’re inventing this in public, and you’ll set the patterns the rest of the company learns from. * Operate as a peer to the executive team. Own outcomes that span beyond engineering, make the company’s biggest calls alongside the rest of leadership, and translate them back into engineering work that matters. OUR TECH STACK We’re building with tools that both humans and AI love: * Frontend: React, TypeScript * Backend: Go and Rust * Cloud: Cloudflare, GCP, AWS, many LLM providers * Data: ClickHouse, Firestore, Spanner, BigQuery * DevOps & tooling: Kubernetes, gVisor-based sandboxing for agentic workloads, GitHub Actions, Grafana, OpenTelemetry, Terraform * Local tooling: Nix, DevEnv And always on the lookout for what’s next. ABOUT YOUR APPLICATION * Please submit your application in English — it’s our company language, so you’ll be speaking lots of it if you join. * We treat all candidates equally — if you’re interested, please apply through our careers portal.   READY TO JOIN US? Help us unlock human creativity and build the future of software creation.

TL;DR: We're looking for an exceptional senior engineer and technical leader for the security team to help make Lovable the most secure AI-powered software creation platform on the planet. Why Lovable? Lovable lets anyone and everyone build software with any language. From solopreneurs to Fortune 100 teams, millions of people use Lovable to transform raw ideas into real products - fast. We are at the forefront of a foundational shift in software creation, which means you have an unprecedented opportunity to change the way the digital world works. Lovable-built applications and websites are visited hundreds of millions of times a month, and our enterprise footprint is compounding fast. And we’re just getting started. We’re a small, talent-dense team building a generation-defining company from Stockholm. We value extreme ownership, high velocity, and low-ego collaboration. We seek out people who care deeply, ship fast, and are eager to make a dent in the world. What we’re looking for * 10+ years of engineering experience shipping production-grade products at high velocity, with a track record operating at senior engineering levels. * Deep, fluent command of React/TypeScript on the frontend and Golang on the backend. * Experience in one or more of: product security features (audit flows, compliance tooling, scanner interfaces), or code security and static analysis (SAST, linters, vulnerability scanners, or similar). * Solid understanding of systems design, performance tradeoffs, and scalable architecture. * Strong product sense - you can take something complex and make it feel simple and actionable for the user. * Familiarity with AI/LLM-powered tooling, or a background that involved dense algorithmic or systems work. * You're comfortable navigating ambiguity and driving clarity at an organisational level, not just technically. * You're based in Stockholm or ready to relocate - this is an on-site, 5-days-a-week role. What you’ll do In one sentence: Build the security features and systems that make Lovable the most trusted AI software creation platform in the world. * Build security product features end-to-end - audit flows, security scanner UI, compliance tooling, design and implement static analysis and more. * Integrate AI/LLM capabilities into security workflows to detect, explain, and remediate vulnerabilities. * Ship across the full stack as part of a small, self-sufficient team, owning your work from the first commit to production. * Advocate for secure coding practices, conduct security-focused code reviews, and raise the bar across the engineering org. * Influence our technical direction and product strategy with a security-first mindset. Our tech stack * Frontend: React and Typescript. * Backend: Golang and Rust. * Cloud: Cloudflare, GCP, AWS, multiple LLM providers. * DevOps & Tooling: GitHub Actions, Grafana, OTEL, infra-as-code (Terraform). * Data: Clickhouse, Firestore, Spanner, BigQuery. And we’re always exploring what’s next! About your application Please submit your application in English. It’s our company language, so you’ll be speaking lots of it if you join. We treat all candidates equally - if you’re interested, please apply through our careers portal.

TL;DR: We're seeking exceptional senior engineers and technical leaders for our Platform team, who own the infrastructure that powers Lovable's AI product and the developer experience that lets our engineering teams move at maximum velocity. Why Lovable? Lovable lets anyone and everyone build software with any language. From solopreneurs to Fortune 100 teams, millions of people use Lovable to transform raw ideas into real products - fast. We are at the forefront of a foundational shift in software creation, which means you have an unprecedented opportunity to change the way the digital world works. Lovable-built applications and websites are visited hundreds of millions of times a month, and our enterprise footprint is compounding fast. And we’re just getting started. We’re a small, talent-dense team building a generation-defining company from Stockholm. We value extreme ownership, high velocity, and low-ego collaboration. We seek out people who care deeply, ship fast, and are eager to make a dent in the world. What we’re looking for * 10+ years in platform, infrastructure, or developer experience engineering, with a track record operating at senior engineering levels. * Deep experience building and operating in one or more of: production infrastructure, platform engineering, or developer experience (observability, CI/CD, application frameworks, productivity tooling). * Strong proficiency in at least one systems-oriented language (Go, Rust, C++, or similar), with a track record of designing high-throughput services at scale — and/or experience writing code and tools to support growing engineering orgs in scale-ups. * Solid working knowledge of Docker, Kubernetes, and modern infrastructure practices; ideally with understanding that goes deeper than configuration — how schedulers, runtimes, and isolation boundaries actually work * You ship high-leverage systems fast and know when to make trade-offs between security, stability, and speed. * You're comfortable navigating ambiguity and driving clarity at an organisational level, not just technically. * You're based in Stockholm or ready to relocate — this is an on-site, 5-days-a-week role. What you’ll do In one sentence: We build and own the systems and developer platform that make AI engineering work and keep our engineering teams the most productive in the world. * Design, build and maintain the core systems that enable our AI product, including a gVisor-based runtime for agentic workloads and a high-throughput sandbox scheduler across multiple cloud providers. * Bring order and structure to our codebase; integrate or build application frameworks to support a growing engineering organisation. * Own and develop our observability stack, from code instrumentation through ingestion to presentation. * Harden our infrastructure against failures, downtime, and slowdowns — ensuring it never becomes a bottleneck to growth. * Plan and implement our network infrastructure and cloud strategy. * Integrate tools for AI-driven development across the engineering org. * Identify and drive reliability improvement efforts across all engineering teams. Our tech stack We're building with tools that both humans and AI love. Lovable platform engineers are capable of working across the whole stack. Examples of tech in our stack include: * Frontend: React and Typescript. * Backend: Golang and Rust. * Cloud: Cloudflare, GCP, AWS. * Data: Clickhouse, Firestore, Spanner, BigQuery. * DevOps Tooling: CI/CD pipelines, OTEL, Grafana, kubernetes, terraform. * Local Tooling: Nix, DevEnv. And always on the lookout for what's next! About your application Please submit your application in English. It’s our company language, so you’ll be speaking lots of it if you join. We treat all candidates equally - if you’re interested, please apply through our careers portal.

Forma framtidens datadrivna lösningar i molnet. Är du en erfaren Data Engineer som vill arbeta nära tekniken och bygga robusta dataplattformar i moderna molnmiljöer? Hos Knowit i Göteborg får du möjlighet att ta ett tekniskt ledarskap i uppdrag där kvalitet, skalbarhet och affärsvärde står i centrum – tillsammans med några av Sveriges mest datatunga myndigheter och företag. OM ROLLEN SOM SENIOR DATA ENGINEER PÅ KNOWIT Som Senior Data Engineer hos oss i Göteborg arbetar du med att designa och utveckla avancerade datalösningar i molnet. Du kommer arbeta med moderna principer inom datamodellering, semantic layers och data governance för att skapa robusta och framtidssäkra dataplattformar. Du tar ansvar för arkitekturval, implementation och optimering av pipelines, och fungerar som en teknisk förebild i teamet. Våra uppdrag spänner över både offentlig och privat sektor, där du är med och skapar lösningar där data blir en strategisk tillgång och en central del av verksamheten. DINA HUVUDSAKLIGA ARBETSUPPGIFTER INKLUDERAR: * Designa och implementera skalbara dataplattformar i moln (Azure, AWS, GCP) * Bygga och optimera datapipelines med Python och DBT * Säkerställa hög datakvalitet, prestanda och robusthet i komplexa system * Driva tekniska beslut och bidra till best practices inom data engineering * Stötta team och kunder i arkitektur- och designfrågor VÅR TEKNIKSTACK / VERKTYG OCH METODER * Python, SQL * Dagster, Airflow * DBT, Docker, Kubernetes * Snowflake, DataBricks, BigQuery * Molnplattformar: Azure, AWS, Google Cloud * CI/CD och Infrastructure as Code Vi uppmuntrar ständig teknisk utveckling och du får vara med och påverka både teknikval och arbetssätt i våra kunduppdrag. VEM SÖKER VI? Vi söker dig med minst 7 års erfarenhet som Data Engineer, som är redo att ta ett större ansvar i team och leveranser. Du har gedigen erfarenhet av molnbaserade lösningar, Python och DBT, och är van vid att arbeta nära både teknik och affär. Du är trygg i att leda tekniska diskussioner, fatta beslut och stötta andra. Samtidigt är du prestigelös och trivs i en kultur där samarbete och lärande står i fokus. Erfarenhet av AI och datadrivna organisationer är ett plus. VAD ERBJUDER KNOWIT I GÖTEBORG? Hos oss får du arbeta i uppdrag som gör verklig skillnad – från samhällsviktiga initiativ inom offentlig sektor till innovativa lösningar i industrin. Du får möjlighet att arbeta med välkända organisationer och myndigheter i en miljö där teknik, lärande och balans står i fokus. Vi erbjuder flexibilitet, ett centralt kontor i Göteborg och en kultur präglad av kunskapsdelning kultur, innovation, hållbarhet och en sund balans mellan arbete och privatliv. Vi har ett modern kontor i centrala Göteborg där vi ofta har aktiviter så som AW, föreläsningar och hackathons. ÄR DU REDO ATT TA NÄSTA STEG SOM SENIOR DATA ENGINEER? Välkommen med din ansökan och bli en del av Knowit i Göteborg! Det är just nu semestertider och vi vill förvarna att det kan ta längre tid än vanligt med respons från oss. Vi hoppas du har överseende med det och önskar dig en otroligt bra sommar!

Do you want to work in a role where data, business understanding, and strategy come together? We are now looking for a driven and analytical professional who wants to help develop and improve our clients End-to-End Supply Controlling through data-driven insights and smart analytical solutions. About the role In this role, you will work broadly with data analysis across the entire supply chain. You will be responsible for generating insights that enable better business decisions and contribute to increased efficiency and profitability. The role involves close collaboration with both business and tech teams, where you act as a bridge between business needs and data. You will drive and develop analytical initiatives, ensure the right priorities are set, and contribute to building modern analytics tools and solutions. Key responsibilities Conduct and communicate analyses related to End-to-End Supply Controlling Identify, prioritize, and drive strategic analytics initiatives Ensure alignment between stakeholders in cross-functional projects Develop and improve analytics tools in close collaboration with both Business and Tech teams Visualize data and present insights in a clear and business-oriented way We are looking for someone with Strong experience in: Power BI SQL Excel PowerPoint BigQuery Experience with Python programming Experience working with Google Cloud Platform (GCP) At least 2 years of experience within data and analytics At least 2 years of experience in business analysis Personal qualities To succeed in this role, you are: Analytical and solution-oriented Structured and comfortable with prioritization Communicative and confident in presenting insights Collaborative, with the ability to build trust across stakeholders About the assignment For this assignment you will be hired as a full-time consultant by Digitalenta. We offer our consultants a generous package including healthcare allowance, insurance policy, paid vacation days and pension savings. In addition, you'll also have a dedicated consultant manager available throughout your employment with us, in addition to optional networking activities with our network of consultants. The assignment is full-time and is expected to start as soon as possible until 2026-11-30.

TL;DR We're looking for a Full Stack Engineer to join our Product Security team. You'll build the features that make Lovable the most secure AI-powered software creation platform on the planet. WHY LOVABLE? Lovable lets anyone and everyone build software with any language. From solopreneurs to Fortune 100 teams, millions of people use Lovable to transform raw ideas into real products - fast. We are at the forefront of a foundational shift in software creation, which means you have an unprecedented opportunity to change the way the digital world works. Lovable-built applications and websites are visited hundreds of millions of times a month, and our enterprise footprint is compounding fast. And we’re just getting started. We’re a small, talent-dense team building a generation-defining company from Stockholm. We value extreme ownership, high velocity, and low-ego collaboration. We seek out people who care deeply, ship fast, and are eager to make a dent in the world. WHAT WE'RE LOOKING FOR * 5+ years of full-stack engineering experience shipping production-grade products at high velocity. * Deep, fluent command of React/TypeScript on the frontend and Golang on the backend. You don't look things up, you know them. * An instinct for quality that shows in every PR, every design decision, and every line of code you write. * Strong product sense: you can take something complex and make it feel simple for the user. * Experience building security-adjacent features (audit flows, compliance tooling, scanner interfaces, or similar) is a strong plus. * Bonus: familiarity with AI/LLM-powered tooling, or a background that involved dense algorithmic or systems work. WHAT YOU'LL DO * Build security product features end-to-end: audit flows, security scanner UI, cookie banner fixes, and compliance tooling. * Ship across the full stack as part of a tight-knit team of 2-3 engineers. * Own your work completely, from the first commit to production. * Hold a high bar on code quality, and actively raise it around you. * Influence technical direction and product strategy with strong opinions. OUR TECH STACK * Frontend: React and Typescript. * Backend: Golang and Rust. * Cloud: Cloudflare, GCP, AWS, multiple LLM providers. * DevOps & Tooling: GitHub Actions, Grafana, OTEL, infra-as-code (Terraform). * Data: Clickhouse, Firestore, Spanner, BigQuery. And we’re always exploring what’s next! HOW TO APPLY * Please submit your application in English—our working language at Lovable. * We’re committed to fair and equal treatment for all candidates. If you’re interested, apply via our careers portal

TL;DR - We are looking for analytics engineers to own the semantic and modeling layer of our warehouse by transforming raw data into well-defined, trustworthy datasets and metrics. You are obsessed with analytical consistency, designing impactful metrics, and building strong foundations for self-service analytics. WHY LOVABLE? Lovable lets anyone and everyone build software with any language. From solopreneurs to Fortune 100 teams, millions of people use Lovable to transform raw ideas into real products - fast. We are at the forefront of a foundational shift in software creation, which means you have an unprecedented opportunity to change the way the digital world works. Lovable-built applications and websites are visited hundreds of millions of times a month, and our enterprise footprint is compounding fast. And we’re just getting started. We’re a small, talent-dense team building a generation-defining company from Stockholm. We value extreme ownership, high velocity, and low-ego collaboration. We seek out people who care deeply, ship fast, and are eager to make a dent in the world. WHAT WE ARE LOOKING FOR: * Expertise with SQL, dbt, SQLMesh or similar tools (data modeling, testing, macros, docs) * Experience with data warehousing concepts, cloud warehouses (Snowflake, BigQuery, Redshift, Databricks) and BI tools (Looker, Tableau, Power BI, Hex, Metabase, etc) * Understanding of dimensional modeling, data contracts, and metrics/semantical layers * Familiarity with modern ELT and orchestration workflows (Airflow, Dagster, Prefect, etc) * Strong business acumen and ability to translate domain logic into scalable data structures WHAT YOU WILL DO: * Build and maintain data models, following modular, tested, and version-controlled practices * Partner with domain teams to understand business logic and codify it into reusable models and metrics * Define and document key metrics and data contracts across domains * Collaborate with Data Platform Engineers to optimize query performance and warehouse cost * Automate and maintain data documentation, lineage, and governance standards * Develop guidelines for analytics development, data modeling and structure conventions OUR TECH STACK We're building with tools that both humans and AI love: * Frontend: React * Backend: Golang and Rust * Cloud: Cloudflare, GCP, AWS, Many LLM providers * DevOps & Tooling: Github Actions, Grafana, OTEL, infrastructure-as-code (Terraform) And always on the lookout for what's next! HOW WE HIRE 1. Fill in a short form then jump on an intro call with recruiter. 2. Complete the general programming exercise. 3. Show us how you approach problems during several technical interviews. 4. Tell us about your most impressive project. About your application * Please submit your application in English - it’s our company language so you’ll be speaking lots of it if you join * We treat all candidates equally - if you’re interested please apply through our careers portal

TL;DR We are seeking a Platform Engineer to enhance and scale Lovable's developer experience. In this role, you will be responsible for critical components of our stack, ensuring our engineering workflows are faster, smoother, and more Lovable. WHY LOVABLE? Lovable lets anyone and everyone build software with any language. From solopreneurs to Fortune 100 teams, millions of people use Lovable to transform raw ideas into real products - fast. We are at the forefront of a foundational shift in software creation, which means you have an unprecedented opportunity to change the way the digital world works. Lovable-built applications and websites are visited hundreds of millions of times a month, and our enterprise footprint is compounding fast. And we’re just getting started. We’re a small, talent-dense team building a generation-defining company from Stockholm. We value extreme ownership, high velocity, and low-ego collaboration. We seek out people who care deeply, ship fast, and are eager to make a dent in the world. WHAT WE’RE LOOKING FOR * You have strong programming skills and a track record of improving developer velocity and system reliability. * 7+ years of experience working in a platform team supporting developer experience (o11y, CI/CD, application frameworks, productivity tooling, etc). * You’ve written code and tools to support growing engineering orgs in scale-ups. * You have experience with Docker, Kubernetes and modern infrastructure practices. * You’re a problem-solver who thrives on challenges and ships high-leverage systems fast. * You’re comfortable navigating ambiguity and solving problems as they arise. * You care about security, stability, and speed and know when to make trade-offs between them. * You’re based in Stockholm or ready to relocate - this is an on-site, 5-days-a-week role. WHAT YOU’LL DO In one sentence: Own and scale the developer experience at Lovable, making our engineering teams the most productive in the world. * Bring order and structure to our code base. * Integrate or build application frameworks to support a growing engineering organization and code footprint * Own and develop our observability stack, from code instrumentation through ingestion to presentation. * Integrating tools for AI driven development. * Identify and drive reliability improvement efforts across all engineering teams. OUR TECH STACK We're building with tools that both humans and AI love. Lovable platform engineers are capable of working across the whole stack. Examples of tech in our stack include: * Frontend: React and Typescript. * Backend: Golang and Rust. * Cloud: Cloudflare, GCP, AWS. * Data: Clickhouse, Firestore, Spanner, BigQuery. * DevOps Tooling: CI/CD pipelines, OTEL, Grafana, kubernetes, terraform. * Local Tooling: Nix, DevEnv. And always on the lookout for what's next! About your application * Please submit your application in English - it’s our company language so you’ll be speaking lots of it if you join * We treat all candidates equally - if you’re interested please apply through our careers portal

TL;DR We're looking for a Fullstack Engineer who lives and breathes AI code security. You'll design and build our static code analysis and security scanning capabilities, making Lovable the most secure AI-powered software creation platform on the planet. WHY LOVABLE? Lovable lets anyone and everyone build software with any language. From solopreneurs to Fortune 100 teams, millions of people use Lovable to transform raw ideas into real products - fast. We are at the forefront of a foundational shift in software creation, which means you have an unprecedented opportunity to change the way the digital world works. Lovable-built applications and websites are visited hundreds of millions of times a month, and our enterprise footprint is compounding fast. And we’re just getting started. We’re a small, talent-dense team building a generation-defining company from Stockholm. We value extreme ownership, high velocity, and low-ego collaboration. We seek out people who care deeply, ship fast, and are eager to make a dent in the world. WHAT WE'RE LOOKING FOR * 3+ years of experience in code security, static analysis, or code scanning, ideally building or contributing to security-focused products (SAST, linters, vulnerability scanners, or similar - with AI or advanced machine learning techniques). * 5+ years of full-stack engineering experience shipping high-quality products. * Proficiency in modern frontend (React/TypeScript) and backend (Golang, Rust) development. * Solid understanding of systems design, performance tradeoffs, and scalable architecture. * Strong product sense and ability to translate security findings into intuitive, actionable user experiences. * Bonus: Master's or PhD in code analysis, static analysis, or a related field. Experience integrating AI/LLMs into security tooling. Familiarity with mobile app security scanning. WHAT YOU'LL DO * Build out our code scanning engine: Design and implement static analysis and security scanning that surfaces findings in user-generated application code across web and mobile. * Ship features end-to-end across frontend, backend, and infrastructure as part of a small, self-sufficient team (≤3 engineers). * Integrate AI/LLM capabilities into security workflows to detect, explain, and remediate vulnerabilities. * Advocate for secure coding practices, conduct security-focused code reviews, and raise the bar across the engineering org. * Influence our technical direction and product strategy with a security-first mindset. * Help make Lovable the most secure AI product in the market. OUR TECH STACK * Frontend: React and Typescript. * Backend: Golang and Rust. * Cloud: Cloudflare, GCP, AWS, multiple LLM providers. * DevOps & Tooling: GitHub Actions, Grafana, OTEL, infra-as-code (Terraform). * Data: Clickhouse, Firestore, Spanner, BigQuery. And we’re always exploring what’s next! HOW TO APPLY * Please submit your application in English—our working language at Lovable. * We’re committed to fair and equal treatment for all candidates. If you’re interested, apply via our careers portal