Zendesk Architect / Administrator

Datadog

Datadog’s Technical Solutions organization includes 1,200+ sales engineers, support engineers, post-sales experts, and solution architects. They run on an ecosystem of enterprise platforms and internal tools that directly shape how we serve customers. Technical Solutions Operations (“TSO”) owns that ecosystem. We manage the full lifecycle of the systems TS depends on: Zendesk, Jira, Confluence, and a growing portfolio of off-the-shelf and purpose-built tools. We do the work to operate, maintain, and evolve the platforms powering daily workflows across TS. When a vendor tool reaches its limits, we extend it through customization, integration, or targeted solution development, tapping internal partners across Datadog as needed. We’re looking for a systems engineer who wants to own enterprise platforms end-to-end. You go from understanding the business process, to designing the right solution (whether that’s configuration, integration, or code), to measuring whether it actually moved the needle.   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.   What You’ll Do: * Own enterprise systems through their full lifecycle. You’ll be the technical owner for one or more platforms that TS relies on daily. That means understanding how the system is used, where it’s falling short, what’s coming from the vendor roadmap, and what needs to change. You drive improvements from assessment through implementation. * Engineer solutions that create leverage. Not every problem is solved by configuration. You’ll build and evolve enterprise systems, integrations, automations, and internal tools that multiply the effectiveness of 1,200+ technical experts. Where AI can make a solution smarter (e.g., intelligent routing, automated triage, agent-assisted workflows), you'll include AI in the initial design, not as an afterthought. * Contribute to the Datadog codebase when the problem calls for it. Some TS-specific features (e.g., support tooling, in-app experiences) ship into the same repos Engineering uses. This work is targeted and partnership-driven, and you’ll collaborate with Engineering teams to build and ship these capabilities. * Use AI to work faster and think bigger. AI coding tools are part of your daily workflow. You use them to ship faster, explore unfamiliar systems, and automate the tedious parts of your job. You can articulate how AI changes the way you work and help teammates adopt the same habits. * Solve business problems, not just technical ones. You’ll partner with TS leaders to understand what’s slowing their teams down, then engineer the fix. The best solutions aren’t always the most technically complex. They’re the ones that actually get adopted. * Own what you ship. Monitor, maintain, and iterate on systems in production. You understand your systems well enough to diagnose issues before anyone else does, from implementation and iteration through optimization and maintenance.    Who You Are: * 3-5 years of experience with enterprise platforms and production software. You’ve administered, extended, or integrated systems like Salesforce, Zendesk, Jira, or similar. You’ve also built software that real users depend on (web services, APIs, data pipelines, or applications). * Strong in Python, Go, or JavaScript/TypeScript. Bonus if you're a polyglot. You’ll work in whatever the problem demands. * Ability to work across the stack. You can build a backend service, wire up a frontend, design an API, and set up the CI/CD pipeline to ship it. * Demonstrated fluency with AI coding tools. You use Copilot, Claude, or similar daily and can articulate how it changes the way you work. * Experience building AI-powered features. You’ve worked with LLMs, embeddings, RAG pipelines, or agent frameworks. * Systems thinking. You design reliable, maintainable, scalable solutions that integrate with multiple upstream and downstream systems that improve the long-term health of our tech stack. * Experience contributing to a large shared codebase with established engineering practices (code review, CI/CD, feature flags, observability) * Background in technical support tooling or customer-facing business systems * Experience in a high-growth B2B SaaS environment   Datadog values people from all walks of life. We know 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 experience, we encourage you to apply.   Benefits and Growth:  * Best-in-breed onboarding * Generous global benefits * Intra-departmental mentor and buddy program for in-house networking * New hire stock equity (RSUs) and employee stock purchase plan (ESPP) * Continuous professional development, product training, and career pathing * An inclusive company culture, able to join our Community Guilds and Inclusion Talks Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan. The reasonably estimated yearly salary for this role at Datadog is: $110,000—$162,000 USD ---------------------------------------------------------------------------------------------------------------------------------- About 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. ---------------------------------------------------------------------------------------------------------------------------------- Equal Opportunity at Datadog: 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.  Privacy and AI Guidelines: 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.

InteractiveAI

WHAT YOU’LL DO As a Forward Deployed Engineer at Interactive AI, you will operate at the frontier of autonomous systems and real-world business impact. You won’t just be building PoCs or isolated pilots; you will be deploying production-grade agentic solutions that solve critical business bottlenecks and drive measurable impact across a diverse range of industries.  Your mission is to bridge the gap between abstract reasoning and production-grade reliability. You will own the end-to-end journey: from deeply understanding a customer’s unique business case and identifying technical pre-requisites to deploying our proprietary agentic framework and platform to resolve the business challenges at hand. Crucially, you are a core part of our innovation engine. By deploying in the field, you will identify framework limitations and directly contribute code and feedback to our core engineering team, ensuring our agentic architecture and platform evolve alongside the most demanding real-world use cases. 1. Autonomous Agent Deployment & Architecture * Master and Deploy Interactive Agents: Develop a first-principles understanding of our proprietary framework to architect multi-agent orchestrations and adaptive reasoning loops within customer environments. * Lead Technical Scoping: Independently translate ambiguous business problems into executable agentic architectures, defining the necessary tool-use requirements and safety guardrails. * Synthesize Business Context: Deeply analyze the unique challenges of customers—ranging from agile medium-sized companies to large enterprises—to design tailored agentic strategies that drive measurable ROI. 2. Custom Tooling & System Implementation * Build Cognitive Extensions: Engineer MCP (Model Context Protocol) tools, CLI interfaces, and custom Python/Node.js backend services that allow agents to interact fluently with diverse customer tech stacks. * Implement Memory & Data Pipelines: Build state management systems and data pipelines to ensure agents maintain long-term context and remain grounded in accurate, customer-specific data. * Bridge the Integration Gap: Identify and implement the necessary pre-requisite integrations (APIs, databases, ticketing systems) required for agents to effectively resolve the target business case. 3. Framework Evolution & Product Feedback * Close the Innovation Loop: Act as the primary bridge between the field and core engineering, providing direct code contributions and real-world performance insights to improve our underlying agentic framework and platform. * Scale Through Best Practices: Author reusable deployment patterns, agent blueprints, and "best-in-class" tool-use practices that accelerate the implementation cycle for future customers. 4. Agent Reliability & Production Ownership * Orchestrate & Scale Workloads: Deploy and manage containerized agent environments within the InteractiveAI platform, optimizing for the unique resource demands of the business problem being solved. * Ensure Production Excellence: Own the end-to-end reliability of the solution, troubleshooting autonomous decision-making issues and ensuring agents are tuned for self-correction in live settings. WHAT WE’RE LOOKING FOR We’re looking for an engineer who thrives in customer-facing, execution-heavy environments and enjoys owning delivery outcomes end to end. Minimum Requirements * 5+ years of experience in backend engineering, systems integration, or delivery-focused roles. * Strong proficiency in Python or Node.js, with the ability to write clean, performant code for agentic orchestrators and toolsets. * Proven track record of building complex system integrations, including APIs, connectors, and custom backend services. * Technical Problem Discovery: Strong communication skills and the ability to translate high-level business problems into executable engineering work for both medium and large-sized customers. * Agentic Exposure: Previous experience building or deploying agent-based systems, multi-agent frameworks, or RAG-based applications. * MCP Ecosystem: Familiarity with the Model Context Protocol (MCP) or building custom CLI-based tools for LLM interaction. * Hands-on experience with RESTful and/or GraphQL APIs, and the ability to translate these into functional tools for LLM consumption. * Strong familiarity with Cloud Infrastructure (AWS, GCP, or Azure) and experience deploying/managing Docker-based workloads. * Solid understanding of Data Architecture, specifically relational databases (Postgres) and in-memory stores (Redis) within integration contexts. * High Degree of Autonomy: Ability to walk into an ambiguous business setting, identify technical pre-requisites, and architect a solution from scratch. Nice-to-Haves * Experience with Kubernetes: Proficiency in managing, scaling, and troubleshooting containerized workloads at the orchestration level. * Infrastructure-as-Code (IaC): Comfort using Terraform or similar tools to manage deployment environments. * Enterprise Ecosystems: Experience integrating platforms like Salesforce, HubSpot, ServiceNow, Zendesk, or Snowflake. * Identity & Security: Familiarity with enterprise authentication systems (OAuth, SAML, SCIM, Okta) as they relate to autonomous tool-use. * Solution Consulting Background: Experience in technical delivery or systems integration where understanding the "business case" was as critical as the code. * Event-Driven Architectures: Experience with messaging platforms or streaming data pipelines that can feed real-time context to agents. WHAT YOU’LL GET * Competitive base salary (€70,000/yr to €90,000/yr) + performance bonuses * Access to equity/share plan as it rolls out * Private health insurance * Flexible work setup + travel when needed (ideally Hybrid in Lisbon, Madrid or Dublin) * Meal card and transportation benefit through CoverFlex, as available in each country * Up to 23 days PTO (excluding local public holidays) WHO YOU ARE * Delivery-Minded – You love solving real client problems and building integrations that work in the real world. * Pragmatic & Resourceful – You find practical solutions and adapt quickly to each client's environment. * High-Ownership Executor – You deliver high-quality work independently and reliably. * Strong Communicator – You work well with delivery managers, enterprise customers, and internal engineering teams. INTERVIEW PROCESS We keep our process focused and respectful of your time. Most candidates complete it in 2–3 weeks. Here’s what to expect: 1. Intro Call – 30 minutes 2. Culture & Values Alignment interview – Focused on your motivations to join InteractiveAI 3. Engineering Interview – Practical problem-solving and implementation-focused technical discussion 4. Delivery & Collaboration Interview – Working style, client interaction, communication 5. Offer – Final conversation and offer details

Genius Sports

By bringing together next-gen technology and the finest live data available, Genius Sports is enabling a new era of sports for fans worldwide, delivering experiences that are more immersive, interactive and personalized than ever before. Learn more at geniussports.com    About the role: VP, Business Technology  Genius Sports is transforming how enterprise technology is built and experienced across the business. As VP, Business Technology, you will own the platforms and tools that power how our people work, every day. Reporting to the CIO, you will lead a team responsible for the business systems, collaboration platforms, AI and productivity tooling, end-user technology services, and the internal platform engineering capability that will underpin how automation is built and scaled across Genius Sports.  This is a hands-on engineering and leadership role. You will shape the strategy, own the vendor relationships, and drive the shift from a traditional IT function to a proactive platform engineering team that builds the automation infrastructure the business runs on. You bring real engineering depth alongside the commercial and stakeholder instincts the role demands.  Key Responsibilities  Own the Business Systems Portfolio  * Lead the strategy, roadmap, and day-to-day operations for Genius Sports' core business systems, including Salesforce, Atlassian (Jira and Confluence), Zendesk, and Microsoft 365.  * Define the integration architecture between business systems and enterprise platforms, ensuring data flows cleanly between tools without creating operational debt.  * Manage vendor relationships in close partnership with Strategic Sourcing.  * Own the Workday integration layer, working with HR and Finance system owners to ensure data integrity and operational reliability across connected platforms. Position the team as a trusted integration partner as broader Workday ownership evolves.   Build and Own the Internal Platform Engineering Capability  * Architect and build the internal automation platform that will underpin how Genius Sports automates workflows, integrates systems, and delivers self-service capabilities across the business. This is not a buy-only function: you will be building.  * Own the IaC and DevOps practices for the Business Technology estate, using Terraform, CI/CD pipelines, and infrastructure-as-code standards to ensure platform environments are version-controlled, auditable, and scalable.  * Lead the design and deployment of agentic automation workflows, including integrations built on MCP Servers, AWS Bedrock, Zapier, and API-layer connectors that reduce manual process overhead across business functions.  * Partner with Engineering and Data teams to ensure the internal platform is built to the same standards as product engineering: proper source control, code review, deployment pipelines, and documentation.  * Drive the team’s evolution from reactive IT support to proactive platform engineering, embedding engineering culture, practices, and accountability into how the function operates.  Drive AI and Productivity Tooling Adoption  * Own the strategy and governance for enterprise AI and productivity tools, including Claude, ChatGPT, and Microsoft Copilot, ensuring deployment aligns with the company's AI governance framework.  * Work with the CIO and functional leads to evaluate, pilot, and scale AI tools that deliver measurable productivity gains across the business.  * Ensure tooling decisions follow the principle of right tool for the right job, with clear boundaries between governed stack platforms and generative AI use cases.  * Track adoption, usage, and ROI across the AI and productivity portfolio, providing regular reporting to ETS leadership.   Run Collaboration and Communication Platforms  * Own the operational health and strategic direction of Slack and Microsoft 365 (including Teams, SharePoint, and OneDrive), ensuring these platforms are performant, well-governed, and fit for a hybrid, global workforce.  * Partner with IT and Security to enforce appropriate data controls, retention policies, and access governance across collaboration tools.  * Drive adoption and best-practice usage of collaboration platforms, working with internal communications and people teams where relevant.  Oversee End-User Technology and IT Operations  * Own the end-user compute function: laptops, desktops, mobile devices, and the service desk experience that supports Genius Sports employees globally.  * Maintain accountability for office networks, on-site infrastructure, and the reliability of workplace technology across Genius Sports locations.  * Ensure Active Directory and identity and access management (IAM) platforms are well-governed, current, and aligned to security policy, working closely with Cybersecurity on access controls and lifecycle management.  * Set the bar for device management standards, endpoint configuration, and IT onboarding and offboarding processes, ensuring consistency and security across the estate.  Lead and Develop the Team  * Build and lead a high-performing team of business systems, platform, tooling, and IT operations specialists, setting clear goals, developing capability, and holding the bar on quality.  * Create a team culture that balances operational reliability with a forward-looking mindset, ensuring the team is equally trusted to keep the lights on and to drive change.  * Partner closely with Data and Analytics and Cybersecurity to deliver joined-up technology outcomes for the business.   Shape the Enterprise Technology Roadmap  * Contribute to the ETS transformation roadmap, with particular ownership of rationalizing the tool estate, building the internal automation platform, and embedding engineering-grade practices into how the Business Technology team delivers.  * Lead the evaluation and selection of new tools and platforms, and where building is the right answer, own the architecture and delivery. Bring a commercially rigorous and technically grounded approach to build vs buy decisions, with the engineering credibility to execute either path.  * Provide ExCo-ready reporting on portfolio health, investment priorities, and risk across the business systems and productivity estate.   Governance, Risk, and Compliance  * Ensure business systems and productivity platforms meet audit, compliance, and data protection requirements, including SOX-relevant controls where applicable.  * Maintain clear documentation of system ownership, integration dependencies, and change management processes across the portfolio.  * Contribute to the ETS risk register, ensuring visibility of platform risks and remediation timelines at the right governance levels.  Qualifications   * Proven experience leading an enterprise technology or business systems function in a fast-moving, commercially driven organization, with direct accountability for both strategic platforms and operational IT delivery. You have an engineering background and have built things, not just managed vendors.  * Deep familiarity with the tools in scope: Salesforce, Atlassian, Zendesk, Microsoft 365, Slack, and AI productivity platforms. You do not need to have run all of them simultaneously, but you need to know how they fit together.  * A track record of translating business requirements into technology decisions, and technology investments into measurable business outcomes.  * Strong commercial instincts. You understand vendor dynamics, know how to negotiate, and do not let the portfolio sprawl.  * Experience managing cross-functional stakeholders at senior level, including Finance, HR, Sales, and Operations leaders who have strong opinions about the tools they use.  * Solid grounding in identity and access management, endpoint management, and IT operations governance, enough to set standards and hold a team accountable. Alongside this, hands-on experience with infrastructure-as-code (Terraform), CI/CD pipelines, cloud platforms (AWS or Azure), and API-layer integration. You can work in code, review it, and build teams that ship it.  * Clear, direct communicator who can present to ExCo and board audiences without jargon and with a sharp focus on business impact.  * Hands-on experience deploying AI and automation tooling in production, including agentic workflows, MCP Servers, or API-integrated AI platforms. A grounded view of where generative AI adds measurable value in an enterprise context, and the governance instincts to deploy it responsibly.  * Experience operating within a SOX-compliant or similarly governed environment is an advantage.    We enjoy an ‘office-first’ culture and maximize opportunities to collaborate, connect and learn together. Our hybrid working models differ depending on your role and location. Occasional travel may be required.  As well as a competitive salary and range of benefits, we’re committed to supporting employee wellbeing and helping you grow your skills, experience and career. Learn more about how rewarding life at Genius can be at Reward | Genius Sports.   One team, being brave, driving change    We strive to create an inclusive working environment, where everyone feels a sense of belonging and the ability to make a difference. Learn more about our values and culture at Culture | Genius Sports.    Let us know when you apply if you need any assistance during the recruiting process due to a disability.