
Datadog · Amsterdam
We are Datadog's in-house product experts. The Technical Solutions team (Datadog’s post-sales enablement function) enables Datadog's worldwide growth by educati...
We are Datadog's in-house product experts. The Technical Solutions team (Datadog’s post-sales enablement function) enables
Datadog's worldwide growth by educating potential clients and ensuring that existing customers are happy and successful. A
Technical Enablement Manager (TEM) provides advisory services to our largest customers by providing targeted technical training
over the comprehensive suite of products and features available at Datadog. TEMs plan and lead educational sessions to ensure
customers know how to integrate Datadog into their IT Operations and how it translates to business value.
At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to
the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.
and topics, maintaining strong Customer Satisfaction (CSAT) scores within normal lead time..
capabilities.
priorities and drive adoption.
both product features and enablement offerings.
impact and long-term success.
offerings.
engagements. Lead at least one field workshop per year or serve as a teaching assistant across multiple topics.
environments.
Datadog’s core areas (Infrastructure, Logs, APM) and continually expand into additional product areas over time.
development tooling (scripting, CI/CD, containerization, configuration management).
from technical practitioners to executives.
configuration management (Chef, Puppet), CI/CD platforms (Jenkins, GitLab), and containerization technologies (Docker,
Kubernetes), along with familiarity with DevSecOps practices
Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's
okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.
Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.
Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the
technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place,
using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI
leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram,
LinkedIn, and Datadog Learning Center.
Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national
origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other
characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal
requirements. Here are our Candidate Legal Notices for your reference.
Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of
our website or need assistance completing the application process, please complete this form. This form is for accommodation
requests only and cannot be used to inquire about the status of applications.
Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and
Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.
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.
This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. Tech Enablement Specialist – Change & Adoption Tech Academy is a strategic partner to Adyen’s global Tech organization – Engineering, Product, and Product experience – making teams faster and more effective by giving them the skills and know‑how they need to ship products and solve real customer problems. We treat learning as part of the workflow, not as a one‑off event, and we measure success by improvements in delivery speed, quality, and clarity. We’re hiring a hands‑on Tech Enablement Specialist who will sit close to Tech teams, understand how work really happens, and help them adopt the enablement, tools, and practices. This is a builder role focused on change and adoption - you’ll make it easier for engineers, PMs, and PX to adopt and improve ways of working, learn new skills and move through the change effectively. In this role, you will: * Focus on helping Tech teams move from “this is the new way we want to work” to “this is how we do it at Adyen”. This is not a training‑delivery or “defining how Tech should work” role; it is focused on change, enablement, and adoption. * Partner with Tech enablement and Tech teams to understand how work is currently done; where people get stuck, and what makes adoption harder than it needs to be; * Turn enablement and expectations into clear, practical support for day‑to‑day use, launching different types of interventions; * Plan and run change and adoption activities tailored to Tech (for example, short walkthroughs, focused sessions with leads, async explainers, or guided “first‑time” use) rather than broad, generic training; * Set up and support peer‑to‑peer formats where teams share how they’ve adopted a new enablement or tool in practice, so practical patterns spread across Tech without heavy coordination; * Run small adoption experiments (for example, different ways of introducing a change or supporting a new tool), observe what teams actually use, and iterate based on feedback and basic usage signals; * Use AI as a thought partner in your own work; * Design and support upskilling interventions with Tech enablement (for example, learning sprints, targeted skill sessions, or AI‑focused practice labs) that help Tech teams build the skills needed to adopt new ways of working; * Shape future enablement and upskilling topics based on what teams actually need and run discovery work on a constant basis making sure we are solving the right problems. Who You Are * You are comfortable working close to Tech, translating change into something people can actually use, and using AI as a normal part of your work. * Experience helping Tech teams (Engineering, Product, PX) adopt new tools, practices, or ways of working – for example through internal enablement, change management, coaching, or learning design close to the work; * Experience turning “this is what we want to do” into clear, practical support: guides, templates, learning paths, FAQs, short explainers, or similar that fit into existing tools and routines; * Hands‑on experience planning and running change and adoption activities (e.g. small group sessions, async explainers, pilots, or “first‑time use” support) rather than only large training events; * Comfortable using AI as a thought partner – to explore options, analyse feedback, create and refine interventions, and generate concrete examples or use cases; * Ability to design and support upskilling interventions (e.g. learning sprints, targeted sessions, AI‑focused practice labs) that are simple, focused, and tied to real work and adoption; * Strong written and verbal communication skills: you can explain changes in simple language, adapt the message to different Tech audiences, and handle questions and pushback; * Used to working in an experiment‑driven way: you test different approaches, watch what teams actually use, and iterate based on feedback and simple adoption signals. Our Diversity, Equity and Inclusion commitments Our unique approach is a product of our diverse perspectives. This diversity of backgrounds and cultures is essential in helping us maintain our momentum. Our business and technical challenges are unique, and we need as many different voices as possible to join us in solving them - voices like yours. No matter who you are or where you’re from, we welcome you to be your true self at Adyen. Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does this sound like you? If so, Adyen encourages you to reconsider and apply. We look forward to your application! What’s next? Ensuring a smooth and enjoyable candidate experience is critical for us. We aim to get back to you regarding your application within 5 business days. Our interview process tends to take about 4 weeks to complete, but may fluctuate depending on the role. Learn more about our hiring process here. Don’t be afraid to let us know if you need more flexibility. Adyen is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status. All your information will be kept confidential according to EEO guidelines.
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.