Sökresultat för "BigQuery"

Validio AB is a Stockholm-based software company providing a data quality and observability platform. The role is part of the Validation Engine team, responsible for backend services that read data from source systems (e.g. BigQuery, Snowflake, Kafka), run data validation logic, and report incidents to downstream systems. The employee will design, develop, test, and maintain backend components of this system. Main duties Design, develop, and maintain backend services in Rust and Go Develop and maintain SQL query generation logic across multiple database dialects (e.g. BigQuery, Snowflake, ClickHouse, Postgres) Define and maintain service contracts using Protocol Buffers and gRPC Build and maintain data source connectors, including schema introspection and authentication Diagnose and resolve production issues in distributed backend systems Write automated tests and maintain technical documentation for backend components Collaborate with Customer Success and Solutions Engineering teams to translate reported technical issues into engineering solutions Deploy and operate services using Kubernetes and related infrastructure tooling Qualifications University degree in Computer Science, Software Engineering, or equivalent professional experience Documented professional experience developing and maintaining production backend services in Rust or Go Strong working knowledge of SQL, including query optimization and execution plan analysis Experience with distributed systems and message-streaming technologies (e.g. Kafka) Experience with containerized deployment (Kubernetes) Professional proficiency 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 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 shoulder-to-shoulder with the VP of Revenue Operations and Global Sales Leadership as we scale our enterprise business — defining what success looks like across the full bow-tie funnel, from pipeline generation to expansion revenue, and proving it with data. You'll have a dedicated mandate within the Enterprise GTM org while drawing on the shared infrastructure, engineering support, and peers of our central Data & Analytics team. WHAT YOU'LL DO * Partner with RevOps and Sales leadership to define success metrics, surface growth opportunities across the enterprise bow-tie funnel, and shape GTM strategy with evidence — proactively raising the questions stakeholders haven't thought to ask. * Build and refine the models that steer the business — customer segmentation for territory and capacity planning, lead and account scoring for pipeline quality, and forecasting for pipeline and revenue. * 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. * Own the analytical backbone of how the enterprise business is steered — KPI and metric definitions aligned across Sales, Marketing, and Finance, and the monthly, quarterly, and annual performance forums, owning the narrative, not just the slides. * Close data gaps and build scalable, self-serve measurement infrastructure so GTM teams can monitor long-term performance without you in the loop. * Uphold rigor as self-serve expands — push back on false precision in pipeline and forecast numbers, set the bar for what good analysis looks like, and resist sophistication, statistical or AI, 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. * PLG/SaaS fluency. Hands-on experience in product-led and SaaS businesses, with a solid grasp of subscription economics and the metrics that drive them. MUSIC TO OUR EARS * Experience across the B2B GTM funnel — Sales, Marketing, and RevOps — with funnel, segmentation, and forecasting analytics. * Data modelling know-how and experience with semantic layers. * A track record of defining metrics and steering frameworks for enterprise or 0→1 commercial motions. 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.

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.

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

Assignment description We are looking for a Data Scientist for our customer. Job description: We're looking for a highly skilled Data Scientist with experience in Linear Programming or Mixed Integer programming and a robust background in analytics. In this role, you will be instrumental in developing, maintaining, and scaling production-grade optimization models. The ideal candidate has a strong background in discrete optimization methodologies, statistics, and machine learning, with the ability to handle everything from complex data wrangling to presenting clear results to our stakeholders. Requires solid Python programming skills -writing clean, efficient, modular, and production-ready code that is easy to maintain and test. Requires strong SQL skills for data manipulation and analysis, ideally experience in DBT / GCP BigQuery is good to have. Optional to have hands-on experience with MLOps and CI/CD pipelines, ideally on Google Cloud Platform. Responsibilities •Maintain and enhance the existing optimization model by proactively identifying shortcomings and implementing improvements. •Present model outputs and analytical findings to stakeholders, gather and translate business requirements into technical solutions, and maintain clear, consistent communication with all stakeholders throughout the project lifecycle. •Ensure the robustness and efficiency of the deployed AI product on GCP through continuous monitoring and maintenance. •Improve the data preparation and wrangling pipeline, and integrate additional data sources to enrich model inputs. •Collaborate with Data Scientists, ML Engineers, and Product Managers to improve the performance, reliability, and scalability of the optimization model. •Implement MLOps best practices for seamless deployment, monitoring, and lifecycle management of machine learning models. •Conduct ad hoc data analyses and develop visualizations to support data driven decision making across teams. Required Skills •Solid knowledge and experience in discrete optimization models (Integer Programming, Mixed Integer Programming) •Proven experience developing and deploying ML models in the cloud, preferably on GCP (beyond notebook-based coding and execution). •Solid Python programming skills—writing clean, efficient, modular, and production-ready code that is easy to maintain and test. •Hands-on experience with MLOps and CI/CD pipelines, ideally on GCP. Strong SQL skills for data manipulation and analysis. •Ability to understand diverse data sources and build robust data wrangling and aggregation pipelines. Familiarity with DBT for data transformation. •Comfortable working in Agile, cross-functional teams. •Strong collaboration skills and ability to thrive in complex, ambiguous problem domains.  Required cloud certification: No

Stories have the power to make the ordinary extraordinary. They help us think bigger, see beyond ourselves, and deepen our connection with others. As one of the world’s leading audiobook and e-book streaming platforms, Storytel brings unlimited listening to millions of users across 25 markets. We’re at the forefront of digital storytelling, driven by a vision to make the world a more empathetic and creative place. Ready for your next chapter? We are looking for an Analytics Engineer to join the team in Stockholm. About the Team We are proud of our ability to combine technical expertise with sound business sense. This translates to solutions that are not only effective in addressing current challenges but also sustainable long term. Our team is composed of Analytics Engineers and Data Engineers, fostering a collaborative environment that enables us to manage data end to end – from optimizing data pipelines to developing user-friendly models for analysis. Our technology stack includes BigQuery (SQL), Looker, dbt™, and Google Cloud Platform, with opportunities to evaluate and introduce new technologies as we scale. About the Role As an Analytics Engineer, you'll work with developing data capabilities that power decisions across our global organization. You'll have significant technical and organizational impact, driving both immediate solutions and long-term strategic initiatives. Examples of responsibilities: * Develop data transformation steps and build a strong data modeling foundation for enabling self-service analytics across the company. * Build and maintain trusting, working relationships with business partners across domains and discover high-impact opportunities to enable self-service analytics in our semantic layer. * Strategically plan and deliver meaningful projects to increase data literacy at Storytel. * Lead the resolution of critical data issues, establishing monitoring systems and best practices to prevent future problems and improve data reliability. * Collaborate with data practitioners to understand their needs and requirements, breaking down complicated technical concepts to fit the audience. * Drive adoption of technical best practices across the data team, mentoring others and bringing in industry innovations that improve how we work. We believe that you have * Experience with creating and maintaining semantic layers. * Experience in working with data (BI/Analytics/Data Engineering) specializing within Analytics Engineering. * Deep expertise in SQL and data modeling and extensive experience with modern data stack technologies (e.g., dbt™, Looker, BigQuery, or equivalent tools). * The ability to consistently deliver performant, accurate, and scalable solutions. * Experience mentoring junior engineers and driving team-wide technical improvements. * Proven ability to lead complex data projects, solve problems independently, and proactively improve products. * Excellent communication skills with the ability to explain complex technical concepts to various audiences. * The ability to thrive in a feedback culture and constantly strive to improve your own skills and knowledge. Bonus if you experience * Working with Python. * With data governance and access management. * With different data modeling schemas. * Working with international teams and global data operations. JOIN A WORLD OF STORIES At Storytel, we’re a team of creative story lovers who thrive on collaboration and new ideas. Our workplace is friendly, dynamic, and full of opportunities to experiment and make an impact. We believe in trust, flat hierarchies, and empowering you to grow with us. Does this sound like your next story? Simply fill out the application form and share your CV or LinkedIn profile – no cover letter needed. Answer a few questions, and you’re all set. Does this sound like you? If you feel like Storytel is a place where you could thrive, please submit your application in English and we will contact you as soon as possible.

Shape the Industry and Your Career At Cytora, now part of Applied Systems, we’re transforming how insurers and brokers connect, operate, and grow. Our AI-powered platform is driving smarter decisions, greater efficiency, and seamless collaboration across the global insurance ecosystem. As we accelerate digital transformation, we’re looking for curious, collaborative minds ready to help shape what’s next. If you’re energized by innovation and inspired by impact, your future starts here. The Role You will be helping to build Cytora’s Underwriting Productivity Suite, a serverless based web application that increases the efficiency and effectiveness of underwriters thereby reducing expense ratios and delivering profitable growth to our customers More specifically, you will be joining the platform team, which is responsible for the infrastructure of our application, our monitoring systems and our CI/CD pipelines. We: * Have single and multi tenant deployments across Europe, United States and Australia * Have infrastructure deployed on AWS and GCP * Manage our infrastructure as code, using terraform * Use third party systems such us circleci, datadog, auth0, thoughspot * Have the mid-term requirement to scale, and the short-term requirement to deliver really fast, so this engineer will need to have good intuition on the level of complexity our systems need. Along with core technical skills, we are excited about colleagues who bring passion for the craft of inventing and building products from the ground up This means providing feedback to product managers and the wider company, contributing to roadmaps, and bringing your creativity to bear by suggesting features and improvements based on your technical understanding of what is possible and needed. Requirements: * We are looking for someone who is customer-centric, values-driven, and collaborative with great communication skills * Strong proven experience in serverless: Lambda/SQS/SNS/S3/Aurora Serverless/GCP Vertex AI/GCP BigQuery * Strong experience using a range of AWS services but not limited to: RDS Aurora Postgres, APIGW, Lambda, S3, SNS, SQS, SES, Cloudfront, Secret Manager, Certificate Manager * Experience building and maintaining multi-region deployments * Terraform/Terragrunt experience as this is part of our stack with Single Tenant deployments * Experience using an OOP language, we use Python * Experience using Terraform * Knowledge of networking fundamentals, including VPC configuration and security Nice to haves: * ECS and Fargate are a plus * Experience designing both single tenancy and multi tenancy solutions * Experience building and maintaining Kubernetes clusters using AWS EKS * Maintaining CI/CD pipelines (we use CircleCI) * Monitoring, we use Datadog logs, APMs, profiling, App security * Prior experience using GCP is a plus, but not essential * Awareness of GDPR compliant systems * Experience building event-driven, serverless applications * Cloudflare/Orca/Vanta Why Cytora We’re building the future of insurance and we’re doing it together. At Cytora, now part of Applied Systems, we’re driven by a shared mission to transform the industry through AI-powered solutions that deliver smarter decisions, stronger connections, and better outcomes. We foster a culture that values who you are and recognizes that you’re more than your role: you’re a teammate, and you matter. We thrive on the strength of our diverse experiences and celebrate the uniqueness each person brings to work every day. We believe flexibility fuels performance. Whether remote, hybrid, or in-office, we empower our teams to work in ways that work best for them. Here’s what you can expect when you join us: * Competitive salary * Flexible working and remote options * Professional development budget & conference access * Annual company retreats * A mission-driven culture that puts people first Location This role is remote and we are looking for individuals based in the East Coast Additionally, this role is only suited for professionals currently based in the US and have full rights to work as we don't offer sponsorship at this stage. Our targeted starting base salary in the United States for this position ranges from $100,000 to $140,000. To determine a new team member’s starting pay, we consider a variety of factors, including someone’s depth, breadth, and variety of experience, skills, and responsibilities. Depending on the role, team members may also be eligible to participate in additional compensation plans such as bonus and commission. AI Utilization We leverage AI tools to streamline parts of our recruitment workflow (such as resume parsing and interview scheduling). However, candidate screening, interviews, and final decisions are conducted by real humans. EEO Statement Applied Systems is proud to be an Equal Employment Opportunity Employer. Diversity and Inclusion is a business imperative and is a part of building our brand and reputation. At Applied, we don’t discriminate, and we are committed to recruit, develop, retain, and promote regardless of race, religion, color, national origin, sexual orientation, gender identity, disability, age, veteran status, and other protected status as required by applicable law.

VILL DU BYGGA DEN DATADRIVNA MOTORN SOM FORMAR FRAMTIDENS BANKUPPLEVELSE? PÅ AVANZA DRIVS VI AV ATT GÖRA SPARANDE BILLIGARE, BÄTTRE OCH ENKLARE. FÖR ATT LYCKAS BEHÖVER VI DATA SOM INTE BARA ÄR TILLGÄNGLIG, UTAN OCKSÅ KORREKT, SMART OCH HANDLINGSKRAFTIG. VI SÖKER NU DATA ENGINEERS/ SOFTWARE ENGINEERS TILL AVANZA. BRINNER DU FÖR ATT JOBBA PRODUKTNÄRA MED EN FOT I BACKEND, HAR VI EN PLATS FÖR DIG! ATT JOBBA PÅ AVANZA Som Data Engineer på Avanza får du förvandla rådata till verksamhetsnytta genom robusta pipelines och hållbara datamodeller. Vi arbetar efter data mesh-principer, vilket innebär att du både tillhandahåller och konsumerar data i ett decentraliserat landskap. Vår techstack vilar på BigQuery, med Kafka för realtidsströmmar och dbt för transformationslogik. Du blir del av ett autonomt team med stort mandat att forma både arkitektur och arbetssätt. Vi värdesätter data engineering-hantverket och tillämpar mjukvaruprinciper som spårbarhet och skalbarhet, ofta genom parprogrammering och tätt samarbete över rollgränser. DIN ROLL HOS OSS Det här är rollen för dig som trivs att arbeta i skärningspunkten mellan data och traditionell mjukvaruutveckling i Java. Du kommer att se till att data flyter sömlöst från produktion till analys genom att röra dig obehindrat i teamets mikrotjänster. Du fungerar som en brygga mellan ren data engineering och backend-logik. Vi tror att du har: * Erfarenhet av mjukvaruutveckling (Java) och API-design i distribuerade miljöer. * Du har din tyngdpunkt i data men kan koda applikationslogik när det behövs. * Intresse för systemstöd för monitorering och analys. * Gedigen erfarenhet av SQL, datamodellering samt verktyg som BigQuery och dbt. * Erfarenhet av strömmande data och meddelandeköer (t.ex. Kafka). * En prestigelös inställning till problemlösning där du prioriterar teamets framgång och kunskapsdelning. * Förmågan att läsa och förstå svenska. Vi ser det som meriterande om du: * Har kunskaper i Python för avancerad data-automation. * Tidigare arbetat i en reglerad miljö såsom bank eller finans. VEM ÄR DU? Vi söker dig som är en trygg och självgående lagspelare. Som person är du en prestigelös "do:er" – du tar egna initiativ, omsätter idéer till handling och du är inte rädd för att göra misstag på vägen. Du bidrar aktivt till att bevara och stärka den psykologiska tryggheten i gruppen samt trivs i en miljö där det är lika självklart att be om hjälp som att erbjuda den. Vi tillämpar ett hybrid arbetssätt och ser gärna att du är på vårt nyrenoverade kontor på Regeringsgatan 103 ca. 2-3 dagar i veckan. REDO ATT BLI EN AV OSS? Vi går igenom ansökningar löpande och ser fram emot att höra mer om dig och din resa! Under veckorna 28-32 kommer rekryteringen ta en paus för semester, vi kommer att återuppta processerna i augusti igen. Har du en fråga under denna period så kan du höra av dig till Rekrytering@avanza.se. Ansökan: Klicka på "Ansök"-knappen och bifoga ditt CV eller din LinkedIn-profil. Erbjudanden från rekryteringsföretag och annonssäljare undanbedes vänligen men bestämt.

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

TLDR; You'll own the identity layer that powers every Lovable app — from auth flows and session management to RBAC, API keys, and multi-tenancy isolation. This is a high-trust, high-impact role at the intersection of security, product, and platform engineering, shaping how millions of end users authenticate into AI-generated applications. About Lovable & the 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 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 a senior identity and access specialist to own authentication, authorization, and user management across the Lovable Apps Platform. You'll build the identity layer that both Lovable's own platform and every user-generated app depend on — from auth flows and session management to RBAC, API keys, and multi-tenancy isolation. Identity is the front door to every Lovable app. As we move from a bundled auth stack to our own composable identity layer, we need someone who can build a system that's both developer-friendly and security-hardened. You'll shape how millions of end users authenticate into AI-generated applications — and how Lovable's own platform manages access, secrets, and trust. This is a high-trust, high-impact role at the intersection of security, product, and platform engineering. WHAT YOU'LL DO * Design and build the Apps Platform's identity and access management system, covering both platform-level auth (Lovable users) and app-level auth (end users of Lovable-generated apps) * Implement authentication flows: OAuth 2.0/OIDC, magic links, social login providers, MFA, and session management * Build a robust authorization model: RBAC, row-level security, API key management, and fine-grained permissions * Own multi-tenancy isolation — ensuring that user apps, data, and credentials are securely separated * Manage secrets infrastructure: secure storage, rotation, and access control for database credentials, API keys, and service tokens * Migrate identity services from the current bundled setup to a fully owned, composable identity layer without breaking user sessions * Operate auth as a production service: monitoring, alerting, incident response, and capacity planning for a system on the critical path of every request * Collaborate with the AI and product teams to ensure that generated apps get secure-by-default auth without requiring user expertise WHAT WE'RE LOOKING FOR * Deep expertise in identity and access management: OAuth 2.0, OIDC, SAML, JWT, session management, and token lifecycle * Experience building or operating auth systems at scale — ideally in a multi-tenant SaaS or PaaS context * Strong security mindset: you treat credential leakage, privilege escalation, token theft, and tenant isolation as first-class concerns * Experience with RBAC/ABAC models and row-level security in Postgres * Familiarity with identity providers and auth services (Auth0, Supabase Auth, Clerk, Firebase Auth, Keycloak, etc.) * Comfortable with TypeScript across backend services and API layers * You've migrated auth systems or transitioned between identity providers in production without breaking user sessions * Operational instincts: you think in uptime, latency percentiles, and blast radius — auth outages take down everything downstream * You’re based in Stockholm or ready to relocate - this is an on-site, 5-days-a-week role. NICE TO HAVE * Experience with secrets management tools (Vault, AWS Secrets Manager, or similar) * Background in compliance-relevant auth work (SOC 2, GDPR, HIPAA) * Familiarity with Supabase Auth internals (GoTrue) or similar open-source auth servers * Experience designing auth for AI-generated or low-code applications * Familiarity with managed cloud services (AWS, GCP) and the tradeoffs of buy-vs-build for identity infrastructure 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

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.