AI Enablement & Execution Leader (f/m/d)

Awin

Head of Engineering - Developer Experience & Platform Awin is seeking an exceptional engineering leader to shape the future of how our engineers build, ship, and operate software at scale. As Head of Engineering – Developer Experience & Platform, you will own the end-to-end developer experience strategy, drive the adoption of AI-native engineering practices, modernise our cloud platform, and lead the teams and tooling that enable Awin's engineering organisation to work at its best. This is a high-impact leadership role at the intersection of engineering excellence, platform strategy, and AI innovation. You will define and deliver the developer experience (DevEx) vision for Awin, ensuring our engineers have the tools, environments, processes, and culture to be highly productive and deeply satisfied in their work. You will own our platform strategy on AWS, lead FinOps practices, and spearhead the organisation-wide rollout of AI-augmented and agentic development workflows. You will act as a trusted internal champion for engineers – gathering data-driven insight, translating it into organisation-wide improvements, and working hand-in-hand with engineering leadership, product, and stakeholders to make change happen and allow our Product teams to deliver value to our customers at scale. The right candidate has strong hands-on experience with modern AI-driven software development and building developer-centric cloud platforms at scale. This is a senior but hands-on role within the Engineering organisation, reporting to the Director of Engineering. Key Tasks & Responsibilities   Developer Experience Strategy & Tooling * Own and evolve Awin's Developer Experience programme – defining the vision, strategy, and roadmap for DevEx improvement across the engineering organisation * Identify friction points, productivity blockers, and systemic inefficiencies through data, qualitative research, and direct engagement with engineering teams, other Heads of Engineering or Engineering Managers * Drive organisation-wide improvements to technology, tooling, and engineering processes, building consensus and alignment with key stakeholders across product, engineering, security, and operations. * Establish and track DevEx metrics and KPIs (e.g. DORA metrics, developer satisfaction scores), using them to demonstrate impact and guide investment decisions. * Own the developer tools portfolio and associated budgets – evaluating, procuring, and retiring tools to ensure engineers have best-in-class tooling without unnecessary cost or complexity. * Lead strategic assessment and rollout of new developer tooling, including CI/CD platforms, IDE capabilities, code quality and security tools. AI-Native Development & Agentic Workflows * Lead Awin's AI engineering rollout – defining the strategy for AI-native software development, establishing standards, and scaling adoption across the engineering organisation. * Evaluate and implement AI-augmented development tools including AI coding assistants, agentic development environments, automated code review, test generation, and intelligent CI/CD pipelines. * Champion modern AI-native software development best practices and drive continuous evaluation of the rapidly evolving AI tooling landscape. * Design and deliver enablement programmes – training, communities of practice, documentation, and hands-on workshops – to accelerate AI fluency and confidence across engineering teams. * Measure and report on the impact of AI adoption on developer productivity, code quality, and time-to-market. Cloud Platform Optimisation * Lead the strategy and execution of cloud platform standardisation across Awin's AWS estate, establishing golden paths, reference architectures, and platform abstractions that improve developer experience and reduce cognitive load. * Drive cloud migration efforts, infrastructure modernisation initiatives, partnering with Product teams to improve reliability, scalability, observability, and security posture (including platform-wide Incident Management, SRE * Own AWS cost management and FinOps practices – establishing budgeting frameworks, implementing cost allocation and tagging strategies, identifying and acting on optimisation opportunities, and providing transparent reporting to leadership. * Build out internal developer platform capabilities to abstract cloud complexity and accelerate developer self-service. * Ensure cloud platform decisions are made with developer experience as a primary consideration alongside cost efficiency, security, and scalability. Leadership & Organisational Impact * Build, lead, and develop a high-performing team spanning developer experience, platform engineering, and tooling functions. * Act as a collaborative, influential engineering leader, shaping Awin's technical culture, engineering standards, and ways of working. * Contribute to the engineering leadership team, participating in strategic planning, headcount discussions, and broader organisational design. Skills & Experience * Significant experience in and passion for software engineering, with hands-on coding background in one or more major languages (e.g. Java, TypeScript). * Strong understanding of AI-native software development – including AI coding assistants (e.g. Claude Code, Cursor, GitHub Copilot), agentic development workflows, and LLM-integrated toolchains. * Proven leadership experience in developer experience, platform engineering, developer productivity, or a related engineering leadership role within a mid-to-large scale technology organisation. * Deep understanding of the software development lifecycle, engineering best practices, and what makes engineering teams highly productive. * Demonstrable experience leading and improving CI/CD practices, deployment pipelines, and developer tooling ecosystems. * Strong background in AWS – comfortable with infrastructure-as-code (e.g. Terraform), container platforms, serverless patterns, and cloud-native architectures. * Experience with FinOps or cloud cost management, including budgeting, tagging strategies, and cost optimisation at scale. * Track record of successfully delivering organisation-wide change programmes in collaboration with cross-functional stakeholders. * Experience designing and using developer experience metrics frameworks (e.g. DORA, SPACE, DX Core 4) to measure and improve developer productivity. * Demonstrated ability to lead, inspire, and grow engineering teams in a fast-paced, distributed environment. * Strong commercial awareness – experience managing budgets, building business cases, and making tool and investment decisions with clear ROI thinking. * Ability to balance strategic thinking with hands-on delivery; comfortable operating from vision through to execution. * Experience working in global, distributed engineering organisations across multiple time zones and cultures. Our Offer * Flexi-Week: We prioritise your mental health and wellbeing by offering you a four-day Flexi-Week (with one lighter or completely disconnected day per week) at full pay, with no reduction to your annual holiday allowance. * Flexi-office: We offer an international culture and flexibility through our hybrid/remote working scheme which is designed to foster a culture of mutual trust and working flexibility. * Work Expense Contribution & Remote Working Furniture: You will receive a monthly allowance to cover part of your running costs, as well as a furniture package to support you in setting up a comfortable workspace when working from home. * Health and Wellbeing: With our support and access to various initiatives and sports offers, you can focus on your mental and physical wellbeing. * Development: We’ve built our extensive training suite, Awin Academy, to cover a wide range of skills that support your professional and personal growth, with trainings conveniently packaged to help your overall development. * Appreciation: Thank and reward colleagues by sending them a voucher through our peer-to-peer recognition programme. We are hiring in multiple countries for this role. Additional benefits, including health and wellbeing offerings, will be discussed during the initial interview. Established in 2000, Awin is proud of our dynamic, social and inclusive culture. Like all businesses, we’ve had to adapt and nurture our culture in a virtual environment. Our virtual ‘Life @ Awin’ hub brings our colleagues from across the globe together for various social activities. Diversity & Inclusion are paramount to us, and we proudly pursue and hire diverse team members. We champion uniqueness and authenticity; this is who we are at our core. Our network of affiliate partnerships are diverse and transparent, as are the employees powering our vision to build the world’s leading open partner ecosystem. We welcome all backgrounds, identities, and experiences. If you need support at any point in the application or interview process, please let us know. Awin is part of the Axel Springer group. Learn more at axelspringer.com/en/, and explore the Axel Springer Essentials here: axelspringer.com/en/inside/the-essentials-what-we-have-adapted-and-why   Apply now to begin the next stage of your career at a progressive company that supports both your professional and personal development. #LI-RS1

Databricks

FEQ327R184 At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment. This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a DSA Manager within the Field Engineering organization.  The impact you will have: * Engage with Solutions Architects to understand the full use case demand plan for prioritised customers * Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts * Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks * Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations * Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise * Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals * Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs * Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams: * Main use cases moving from ‘win’ to production * Enablement / user growth plan * Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision) * Organic needs for current investment (e.g. cloud cost control, tuning & optimization) * Executive and operational governance * Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM What we look for: * 5+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers * Programming experience in Python, Spark, Databricks or similar Data Platform  * Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role * Understanding of solution architecture related distributed data systems * Understanding of how to attribute business value and outcomes to specific project deliverables * Technical program, or project management including account, stakeholder and resource management accountability * Experience resolving complex and important escalation with senior customer executives * Experience conducting open-ended discovery workshops,  creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects * Track record of overachievement against quota, Goals or similar objective targets * Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience * Can travel up to 30% when needed About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Tibber

We're at a pivotal moment for both Tibber and the planet. When joining Tibber, you won’t just help scale a forward-thinking tech company – you’ll contribute to a real shift in how people consume electricity. With millions of smart devices connected to the Tibber platform (like electric vehicles and smart thermostats), we have one of the most unique energy trading portfolios on the market. We’re looking for a Senior Ai Platform Engineer to join us in making the energy transition happen – maybe that’s you? ---------------------------------------------------------------------------------------------------------------------------------- Job Mission 🚀 As a Senior AI Platform Engineer, you’ll join the Agentic Enablement side of our Platform team and help build the technical foundation for how Tibber adopts and scales agentic systems across engineering. Your focus will be on the architecture, workflows and trust infrastructure that allow AI agents to safely support software development - from writing and testing code to reviewing changes, triggering workflows and knowing when to involve a human. This is a platform role, which means the engineers building agents at Tibber are your users. Your success is measured by how quickly and confidently they can move from idea to production without needing you in the room. This role is for someone who enjoys building reliable systems, thinking deeply about architecture and helping teams adopt new ways of working with confidence. ---------------------------------------------------------------------------------------------------------------------------------- What you'll do ✅ * Contribute to the design and architecture of Tibber’s agentic development platform, including orchestration layers, platform integrations, feedback loops and escalation paths, and the developer-facing CLI and onboarding experience. * Take ownership of key platform components, from design and implementation to reliability and continuous improvement. * Help define workflows, quality standards and ownership models for how agents can write, test, review and support code. * Help shape safe and reliable agentic workflows, including human-in-the-loop boundaries. * Build trust infrastructure that makes agentic systems observable, secure, reversible and reliable in production. * Work closely with Staff Engineers and the wider Platform team to build on Tibber’s AWS, Kubernetes and infrastructure foundations. * Bring people along through clear technical communication, thoughtful collaboration and strong engineering judgment. ---------------------------------------------------------------------------------------------------------------------------------- What we're looking for⚡ You are driven by impact and know how to turn strategy into execution. You're used to fast-paced environments and thrive when given clear goals and high accountability. We believe you'll thrive here if you: * Bring hands-on production experience building and running reliable agentic software systems. * Treat evaluation as a first-class engineering concern, you’ve built eval pipelines for non-deterministic systems, whether LLM-as-judge, regression suites, or golden datasets, and know that measuring agent quality in production is an ongoing discipline, not a launch checklist. * Bring hands-on production experience building and running reliable agentic software systems. * Have strong infrastructure knowledge across Kubernetes, Terraform, Infrastructure as Code, and platform networking. * Demonstrate strong software engineering depth in TypeScript, with the ability to own and operate services end-to-end. * Enjoys to communicate technical directions and collaborate with engineering teams to enable adoption, and turn platform capabilities into real impact. * Apply a strong security mindset to agent permissions, least-privilege designs, and blast radius awareness. * Have working knowledge of Model Context Protocol (MCP), evaluation frameworks, or cloud capabilities like AWS Bedrock. ---------------------------------------------------------------------------------------------------------------------------------- 💆🏻‍♀️💆🏽‍♂️The Tibber Mindset Tibber exists to drive energy independence - away from fossil dependency. Our tech helps hundreds of thousands of households shift their electricity consumption to more sustainable and affordable hours - from electric vehicles to smart thermostats, all connected to the Tibber platform. We strengthen the resilience of the grid. Not in theory. In everyday life. We win, fail, and grow together, staying curious and pushing for better every day. AI is shaping how we work - and we're on a journey to make it central to everything we do. The further we go, the more our Tibberinos matter - and yes, that's what we call ourselves! Started by two founders in 2016. Now 300+ Tibberinos across Stockholm, Oslo, Berlin, Amsterdam, and Førde. And we're still just getting started. You're welcome at Tibber for who you are. We hire for what you can do and how you think - not your background or where you've been. Diverse teams build better products, and we mean that.