
Kognity AB · Stockholm
Education is one of the most important systems in the world. At Kognity, we build the technology that makes it work better, for the teachers delivering it and t...
Education is one of the most important systems in the world. At Kognity, we build the technology that makes it work better, for the teachers delivering it and the students depending on it. The problems are real, the work is challenging, and the results show up in classrooms every day.
We're a 125-person EdTech scale-up powering learning in 120+ countries, helping students and teachers thrive through an intelligent platform that combines rich, interactive pedagogy with smart AI and data.
Why join Kognity?
Work on problems that matter - Your work directly influences the lives of teachers and students in over 100 countries. The scale is global, and the outcomes are tangible.
High ownership, high expectations - You are trusted to take initiative, make decisions and drive outcomes. Responsibility comes early, accountability is real, and results matter.
A fast-moving, high-performing team - You will work with smart, driven colleagues across the globe on complex problems. Standards and expectations are high, feedback is direct, and the pace is fast.
Continuous growth is the baseline - Everyone is expected and supported to learn quickly, improve constantly and raise their own bar. If you enjoy responsibility, momentum and meaningful challenge, you will thrive here.
Take full ownership of the engineering operating system within your first three months: tools, vendor contracts, on-call staffing, and platform support, so no escalations land on the CTO by default and engineers never lose time to broken tooling or unclear process.
Audit and overhaul the hiring process end to end, improving interviewer calibration, role consistency, and onboarding so that time-to-hire and time-to-first-meaningful-contribution both come down measurably.
Own TLT facilitation and drive EM layer consistency, with sessions that end in decisions, shared practices aligned across teams, and cross-EM escalations resolving below CTO level within six months.
Build and maintain the engineering progression framework and performance data infrastructure, from a sharp draft in the first three months to a live, Tech 2.0-aligned framework with salary bands agreed with HR and EMs actively using it in performance conversations.
Drive cultural and strategic change from decision to operating reality, particularly the Tech 2.0 rollout, owning the rollout plan, adoption tracking, and the rituals that make change stick across the org over an 18-month horizon.
A background as a senior, principal, or staff engineer, with subsequent experience in engineering leadership or management, ideally including people management in a scaling product organisation.
Proven ability to operate without formal authority, driving change through credibility and relationships rather than positional power, and comfortable influencing senior engineers and EMs alike.
Strong systems thinking with a bias for simplification: able to look at a complex set of processes and find the version that removes friction without losing what matters.
High signal-to-noise communication, both written and verbal, with the ability to translate between strategic direction and operational reality and surface the right information at the right level.
A passion for AI and a drive to experiment with new tools to enhance creativity, decisions, and execution.
How we hire
Discovery call with a Recruiter
Hiring manager discussion
Case study
Values discussion
Leadership talk
References
Every qualified person will be evaluated regardless of age, gender, identity, nationality, ethnicity, sexual orientation, disability status or religion. We're committed to building a diverse, inclusive team and welcome people of all backgrounds, experiences, perspectives, and abilities.
⚡️ What We Do Flower is Flexible Power. We are a next-gen energy company leveraging AI and machine learning to make renewable energy stable and always available – even when the sun isn’t shining and the wind isn’t blowing. Through smart optimization and trading of energy assets like wind and solar farms, battery systems, and EV chargers, we make renewable energy reliable and predictable, leading the charge towards the energy system of tomorrow. 🌟Who We Are Tech company at heart. Purpose-driven at core. Flower consists of a diverse group of innovative individuals with a strong desire to improve the state of the world. At Flower, we believe trust, collaboration and diversity are essential to not only create an inclusive work environment, but also drive career growth. By embracing varying perspectives, we allow creativity and progress to flourish. To accelerate towards our goal of becoming the pioneering force powering the energy system of tomorrow, we are now looking for a passionate and skilled Senior Data Scientist to join us! 👩💻 About The Role: As a Senior Data Scientist, you will shape the foundation of Flower’s short-term forecasting capabilities - powering the models that directly drive our daily trading decisions. You will be part of a small, highly skilled team operating at the intersection of data science, energy systems, and close-to-real-time market dynamics. You will own the full lifecycle of your models - from idea to production - working closely with Data Engineers, Machine Learning Engineers, and Energy Market Experts to ensure our forecasting stack runs smoothly and is continuously improving. This is a hands-on role focussed on time-series modelling, rapid experimentation, and the ability to translate data into high-impact operational decisions. What You’ll Do: Build & maintain short term operational forecasting models for energy volumes & prices that drive our trading decisions on a day-to-day basis Build time series models to understand and explain recurring patterns across different measurements, products and regions to distill signals as features for your next model Prototype quickly: iterate on simple models, validate rigorously, and scale what works in a dynamic market environment Own the full model lifecycle: EDA, feature engineering, model development, validation, deployment and continuous evaluation, supported by our team of DEs, MLEs & Energy Market Experts Write your models in Python, version your code in Git, use CI/CD to ensure full reproducibility Partner with DEs to evaluate and integrate new data sources (weather, grid conditions, market signals) Collaborate & mentor across other data scientists, quants and engineers. Who You Are: Master’s or PhD in Operations Research, Computer Science, Industrial Engineering, Applied Mathematics, Engineering Physics, or a related quantitative field. 5+ years building and deploying ML/time-series models in production Strong Python + SQL and no stranger to the command line; comfortable writing clean, maintainable, production-ready code Deep understanding of time-series forecasting and real-world modeling challenges Curious, data-driven, and comfortable working with messy or complex datasets Able to take projects from idea to production autonomously Highly driven by our mission and your impact, yet humble enough to know we are all always learning Thrive in a fast-moving environment and adapt models as markets evolve (Bonus) Experience in energy markets, trading, or power systems - or demonstrated motivation to learn 📍 Location Our beautiful office is located in the heart of Södermalm just a short walk from Slussen subway station. We encourage in-office collaboration but support a hybrid work model. ✉️ Apply Our corporate language is English, as we have over 30 nationalities in the office. We therefore appreciate it if you could submit your CV in English. Throughout the recruitment process you will meet with the People & Talent Partner, Head of Predictions and Optimization, the Team, VP of Engineering and our VP of Product. We look forward to hearing from you! --- We kindly but firmly decline any engagement in recruitment assistance for our hiring processes. This includes partnership offers or the sale of recruitment tools.
What will you do? As a AI/ML Engineer at Rebtel you will define how AI is done at Rebtel. What tooling we standardise on, how we evaluate models we put in front of real users, what "good" looks like for our prompts and our pipelines. AI is going from a side project to the core of how Rebtel operates and what we ship to our users. We're hiring the second engineer on our ML/AI subteam to help build it classical ML for the business, LLM-powered systems for the product, and a clear production mindset on both. You'll sit inside the Data team, report to our Head of Data, and partner with one other ML/AI engineer to shape this capability from the ground up. Areas of ownership: You'll own work across two complementary tracks, and you'll ship in both. Classical ML, in production, for operational leverage Risk and fraud models across payments, top-ups, and account behaviour Churn prediction and retention modelling on a user base of a million-plus Forecasting, pricing, segmentation, and the next batch of operational problems we haven't tackled yet Owning models end-to-end scoping with stakeholders, building, deploying, monitoring, retraining LLMs and AI agents, from internal automation to in-product features Start with our customer support agents and automations: RAG pipelines, prompt orchestration, tool-use, evaluation harnesses Move LLM capability into the product as user-facing features Help guide the company on where AI actually creates leverage, what to build, what to buy, what to ignore and turn the good ideas into shipped systems Requirements: You are an excellent communicator and collaborator. We work in English, but you will hear many languages in our Stockholm office 4+ years of hands-on ML engineering in Python, with real production ownership not just notebooks Strong fundamentals in classical ML: feature engineering, model selection, validation, and the unglamorous parts of keeping a model healthy in prod A genuine production mindset: monitoring, retraining, eval harnesses, CI/CD for models, and the instinct to debug when something drifts at 2am Comfort working the whole loop: stakeholder scoping → data → model → deployment → measurement → iteration Strong written and spoken English, and the ability to translate between business problems and ML ones Hands-on experience with LLM frameworks — LangChain, LangGraph, LlamaIndex, or equivalents Built RAG systems, agentic workflows, or LLM-backed products that real users (or real internal teams) actually used Comfortable with vector databases, embeddings, prompt evaluation, and measuring LLM systems with something more rigorous than vibes Obsession with staying up-to-date on developments in the AI space Experience with a major cloud (AWS / GCP / Azure), containers, and a modern data stack Experience in MLOps tooling: MLflow, Airflow, Kubernetes and feature stores is a plus Background in fintech, payments, telecom, or other regulated / operational domains is a plus Why Rebtel? Rebtel has been connecting people across borders for nearly 20 years. Today, we’re profitable, growing, and at a pivotal moment in our journey. As we enter our next phase, we’re building an organisation designed for speed, ownership, and real impact, where every role contributes directly to shaping what comes next. This is a place with global ambition and a strong foundation, where ideas move quickly and decisions matter. You won’t get lost in layers of process or slow-moving structures. Instead, you’ll find the space to take ownership, collaborate across teams, and make meaningful contributions from day one. Based in Stockholm, we bring together a diverse, international team united by a shared purpose: to simplify the way people connect worldwide. At Rebtel, you are the most important asset and we strive to provide a comprehensive package of benefits and perks that enhance your well-being and work experience. Here are some of the things you can expect from us: Pension Plan Health Checkups, Influenza shots and Private Medical Insurance Dental Insurance Occupational insurance Wellness allowance (5,000 SEK) Discount on gym memberships Bonus program Extra parental pay 30 days annual vacation Monday breakfasts Relocation Support, if you're joining us from afar, we'll assist you in making a smooth transition. We are Rebtel. We come from all around the world to create products for anyone who has crossed a border. We believe in equal opportunity and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
A great opportunity has come up at Betsson Group. We are now looking for a Head of Engineering for our Campaigns & Rewards Area. THE WOW As the Head of Engineering - Campaigns & Rewards, you will provide leadership for our engineering teams working on our Gaming product vertical. You will be accountable for the delivery, in terms of both time and quality, of all engineering teams working in the domain. You will work closely with your product counterparts on executing the roadmap, whilst driving technical excellence in terms of code quality, stability, scalability, and security. A TASTER OF WHAT YOU WILL BE INVOLVED WITH: * Build and lead a high performing, top class engineering organisation covering multiple teams, setting out proper strategies towards this goal. * Support, mentor and coach the engineering managers and leads. * Collaborate with the architecture team and actively support their direction to drive the technical vision and enable the future state architectural design of the domain. * Work closely with your product counterparts to develop, support and execute on product roadmaps and towards shared goals. * Champion technical initiatives for consideration in the product development roadmap. * Maintain a deep understanding of the gaming industry, performing competitor analysis, staying up-to-date with trends, emerging technologies. * Foster a culture of innovation, continuous improvement, and collaboration within the team, promoting best practices in software engineering and agile methodologies. * Drive the delivery of initiatives across the teams, ensuring that we are maximising the potential of our people and their delivery. * Ensure the platform's reliability, security, and scalability by proactively addressing potential risks and performance bottlenecks. * Manage engineering budgets, resources, and timelines effectively, delivering projects on time and within scope. * Develop and implement metrics and KPIs to monitor platform performance, driving data-driven decision-making and improvements. * Identify and address technical and process bottlenecks. * Set an example in taking responsibility and ownership, which may also mean stepping into any missing role as and when may be required. WHAT WE ARE LOOKING FOR: * Highly experienced in building and leading high performing engineering teams, with at least 2 years’ experience in a senior / strategic engineering leadership role. * A strong background in software engineering, preferably having 10+ years’ experience working in engineering roles. * Demonstrated experience in nurturing and coaching engineering leaders. * Passionate about technology and how it can enable business growth and opportunities, in particular in how it satisfies user needs. * Experience and understanding of agile practices and techniques for developing products. * Confident working in a complex technical environment with hands-on experience working with highly available and high load transactional systems, with the ability to drive focus on performance, scalability and security. * Experience in defining OKRs and KPIs, working with data to understand system(s) performance and the outcomes of product development. * Proven ability to lead analyses and evaluations for complex decisions. * Experience with cloud platforms like AWS, Azure, or GCP is a plus. GOOD TO HAVE: * Relevant working experience in the gaming industry. * Experience working with remote / geographically distributed teams. * Familiarity with AI/ML technologies for personalised experiences. * Experience in working with and managing third-party suppliers. * A humble and inspirational leader who leads by example and fosters a culture of ownership and collaboration. * Strong organisational, planning and project management skills. * Excellent verbal & written communication skills, with the ability to explain technical topics to non-technical stakeholders. * Excellent presentation skills, with the ability to present effectively to C-Level. * Professional working proficiency in Swedish and English. WHAT WE OFFER Much like riding a rollercoaster, sometimes life at Betsson can be lightning fast with twists and turns but always FUN! Then again, what else would you expect from a business 75% millennial and 1700 strong, spread across 7 offices with 900 based out of our Malta HQ alone! We recognise it may not be for the faint-hearted, but if you’re a go-getter, initiator and adrenaline junkie, always striving to push the boundaries and challenge yourself, then you’ll fit right in. CHALLENGE ACCEPTED? By submitting your application, you understand that your personal data will be processed as set out in our Privacy Policy