Head of Engineering Operations

Kognity AB

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. What you'll do: 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. What we're looking for: 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.

Flower Infrastructure Technologies AB

⚡️ 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.

Flower Infrastructure Technologies AB

⚡️ What We Do Swiftly gaining ground as Sweden’s industry leader in battery storage and expanding rapidly in selected European markets, Flower is on a mission to enable the energy system of tomorrow. With an industry-leading AI-powered platform at its core, our service includes stabilizing the energy system by enhancing predictability and flexibility for both energy producers and consumers. By combining pioneering technology with a portfolio of flexible energy assets, we break new ground towards a fossil-free energy system, allowing clean energy to power society. 🌟Who We Are Tech company at heart – purpose in our DNA. 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 Optimization Engineer. 👩‍💻 About The Role: As a Senior Optimization Engineer, you will take a leading role in designing and advancing cutting-edge optimization models that drive the efficient allocation of Flower’s energy assets across diverse and dynamic markets. Beyond building robust and well-tested models, you will be expected to influence technical strategy, mentor peers, and ensure that our optimization systems are not only accurate and efficient but also scalable and future-proof. What you’ll do Lead the design, implementation, and deployment of advanced mathematical optimization models to maximize efficiency and revenue across multiple energy markets. Drive architectural and technical decisions for optimization systems, ensuring robustness, scalability, and maintainability. Write, review, and maintain production-grade Python code, embedding optimization at the core while setting a high standard of engineering excellence. Design effective test strategies to validate optimization models ensuring reliability and performance under diverse market conditions. Proactively identify opportunities to improve model design, optimization approaches, and integration with other trading systems. Stay ahead of emerging trends in mathematical optimization, contributing innovative ideas and translating them into Flower’s roadmap. Mentor data scientists & engineers and provide thought leadership within the Asset Optimization domain and fostering a culture of technical excellence. 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 of professional experience developing and deploying production-grade optimization models in commercial or research settings. Proven expertise in applying advanced MILP optimization techniques to balance expressiveness of the formulation, robustness and model complexity Solid theoretical foundation and ability to translate mathematical concepts into practical, high-performance optimization systems. Strong proficiency in Python and experience developing production-quality optimization code within complex systems. Experience developing test methodologies for optimization solutions. Skilled communicator, able to present technical concepts with clarity to both technical and non-technical stakeholders, and influence decision-making. Hands-on experience with mathematical modeling libraries (e.g., Pyomo, SciPy, OR-Tools) and solvers (e.g., Gurobi, HiGHS, SCIP, CPLEX, GLPK). Bonus: prior exposure to energy markets, trading systems, or real-time optimization environments. 📍 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 about 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, VP of Engineering and our CEO.  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.