Role Description We’re looking for engineers who take initiative, spot opportunities, and move ideas forward proactively. Builders who are excited to use AI as a core part of how they work, think from first principles, and keep things simple – not people who just want to hand-craft every line of code. You’ll be hands-on in the Web SDK and backend services that support it, working on real features used by major sports and media organisations, and using AI heavily to design, build and refine solutions. You’ll join the team responsible for our Web SDK and the services it talks to. The SDK is how customers embed fast, beautiful, interactive Stories experiences into their own products, so integration quality, performance and developer experience really matter. This is a hands-on coding role, but not a “shut the door and code in isolation” one: - You’ll use AI tools by default to explore, scaffold and refactor. - You’ll think in terms of problems, constraints and outcomes, not just tickets. - You’ll care about how easy we are to integrate with as much as how elegant the code looks. - You won’t be managing people or owning a team – but you will be expected to own your work end-to-end, contribute to how we solve problems, and help us keep raising the bar. Responsibilities - Build and ship features - Own features end-to-end: understand the problem, design a simple solution, build it (often with AI assistance), test it, and refine based on feedback. - Improve performance, reliability and developer ergonomics of the Web SDK and supporting services. - Debug tricky issues across the SDK, backend and browser – using logs, metrics and good hypotheses rather than guesswork. - Solve real customer problems - Work with Product and Delivery to understand real customer use-cases and constraints. - Propose simple, pragmatic solutions instead of over-engineering. - Help streamline the integration experience so partners can get to “first story live” quickly and safely. - Improve developer experience - Enhance documentation, code examples, and integration guides, often using AI to draft and then editing for clarity. - Identify friction points for integrators and proactively champion improvements. - Make small, continuous DX improvements (tooling, scripts, templates) rather than waiting for a big “clean-up project”. - Engineering excellence - Use AI tools by default for exploration, scaffolding and refactors – and then verify outputs with tests, types, and your own judgement. - Use first-principles thinking to cut through complexity: start from the goal and constraints, choose the simplest thing that works, and be willing to delete your own code when a better approach appears. - Participate in thoughtful code reviews: give clear, kind, direct feedback and be open to having your own ideas challenged. - Help improve CI pipelines, test suites and dev scripts so the whole team moves faster and more safely over time. - Maintain high ownership and follow-through from idea to release: surface blockers early, communicate clearly, and finish what you start. Qualifications - 2–4 years of hands-on experience with TypeScript/JavaScript in production environments. - Strong knowledge of React, Node.js or similar modern frontend frameworks – you’re comfortable working across browser and server. - Familiarity with APIs/HTTP, performance tuning, and SQL/NoSQL basics. - A proactive mindset – you look ahead, anticipate problems, and propose solutions instead of waiting to be told what to do. - AI-native working style – you’re comfortable adopting new tools early, especially AI-assisted coding, and you see AI as the default starting point rather than a last resort. - Clear reasoning and trade-off thinking – you can explain why you chose one approach over another in simple language. - Strong written and verbal communication for remote collaboration. - Reliability – you deliver on commitments, surface blockers early, and take responsibility for the quality of your work. - You don’t need to have built a Web SDK before, but you should be comfortable working on libraries and APIs that other developers depend on. Nice to have - Experience building SDKs, libraries or developer tools. - Experience with performance tuning (bundle sizes, loading strategies, caching) in web apps. - Open-source contributions, side projects or technical write-ups that show how you think. - Interest in sports, media or content tech. Recruitment Process - Hiring Manager Conversation (20–30 mins): A short call to get to know you, share more about Storyteller and the Web SDK, and answer your questions. No coding. We’ll both aim to decide whether it makes sense to go deeper. - Paid Take-home Task (~60 mins): A small, focused task you can do in your own time. We compensate you for completing it regardless of the outcome. You’re welcome to use AI tools – we’re interested in how you reason, how you verify and simplify, and how you trade off options, not in how much you type. - Review and CTO Interview (60–75 mins): We’ll review your submission together, dig into your decisions, and you’ll meet Dave (CTO). We’ll talk about how you approach problems, how you use tools like AI, and how you like to work. Privacy Notice We process your personal data for recruitment purposes in line with UK data protection law. AI tools may assist in reviewing applications, but decisions are made by our team. We retain data only as necessary for recruitment and compliance. You can request access or deletion of your data at any time by emailing careers@getstoryteller.com.

At **Mindera**, we believe that software is built by people, for people with high performance systems that impact users worldwide. We are looking for a **Compliance & Privacy Tech Lead** to join an agile, collaborative team where your voice matters as much as your code. **💪 How You'll Contribute** - **Data Classification & Permission:** Own and maintain the organisation's data classification schema, defining enforceable rules for AI tools and conducting data classification checks to ensure data permissibility across all risk tiers. - **AI Intake & Risk Support:** Support the triage of incoming AI tool requests, maintain the AI registry's data fields, coordinate vendor assessments, and ensure robust PII and sensitive data guardrails are documented before go-live. - **Compliance & Portfolio Management:** Monitor active tools for data boundary drift, detect shadow AI, run quarterly duplicate solution reviews, and flag anomalies in access or usage patterns to Security and Data Governance. - **Cross-Functional Collaboration:** Partner closely with Data Engineering to ensure governed data pipelines, and collaborate with Legal, Compliance, and HR to incorporate regulatory changes and promote data literacy. - **Governance Operations:** Prepare crucial input for Governance Board materials, maintain data policies and process guides, and track regulatory developments (GDPR, EU AI Act, NIST AI RMF, ISO 42001) to inform internal policy.

• Data Classification & Permission: Own and maintain the organisation's data classification schema, defining enforceable rules for AI tools and conducting data classification checks to ensure data permissibility across all risk tiers. • AI Intake & Risk Support: Support the triage of incoming AI tool requests, maintain the AI registry's data fields, coordinate vendor assessments, and ensure robust PII and sensitive data guardrails are documented before go-live. • Compliance & Portfolio Management: Monitor active tools for data boundary drift, detect shadow AI, run quarterly duplicate solution reviews, and flag anomalies in access or usage patterns to Security and Data Governance. • Cross-Functional Collaboration: Partner closely with Data Engineering to ensure governed data pipelines, and collaborate with Legal, Compliance, and HR to incorporate regulatory changes and promote data literacy. • Governance Operations: Prepare crucial input for Governance Board materials, maintain data policies and process guides, and track regulatory developments (GDPR, EU AI Act, NIST AI RMF, ISO 42001) to inform internal policy.

Role Description At Mindera, we believe that software is built by people, for people with high performance systems that impact users worldwide. We are looking for a Compliance & Privacy Tech Lead to join an agile, collaborative team where your voice matters as much as your code. We value empathy, self-organization, and the courage to take risks. If you love solving complex problems and believe that teaching others is the best way to learn, you’ll feel right at home here. We’re looking for someone who loves to build, learn, and guide others. You’ll be working closely with our leadership (CEO/COO) and our clients, so clear communication and a collaborative spirit are key. Responsibilities - Data Classification & Permission: Own and maintain the organisation's data classification schema, defining enforceable rules for AI tools and conducting data classification checks to ensure data permissibility across all risk tiers. - AI Intake & Risk Support: Support the triage of incoming AI tool requests, maintain the AI registry's data fields, coordinate vendor assessments, and ensure robust PII and sensitive data guardrails are documented before go-live. - Compliance & Portfolio Management: Monitor active tools for data boundary drift, detect shadow AI, run quarterly duplicate solution reviews, and flag anomalies in access or usage patterns to Security and Data Governance. - Cross-Functional Collaboration: Partner closely with Data Engineering to ensure governed data pipelines, and collaborate with Legal, Compliance, and HR to incorporate regulatory changes and promote data literacy. - Governance Operations: Prepare crucial input for Governance Board materials, maintain data policies and process guides, and track regulatory developments (GDPR, EU AI Act, NIST AI RMF, ISO 42001) to inform internal policy. Qualifications - Has Solid Experience: Brings 4+ years in a data governance, management, or compliance role, with 1 to 2 years specifically documenting enterprise-level data policies or classification schemas. - Is a Proactive Self-Starter: You naturally identify gaps and address them without waiting to be asked, while effectively managing a high volume of concurrent requests without losing track of detail. - Drives Cross-Functional Alignment: You are confident working across all levels—from Data Engineering to the Governance Board—and are experienced in managing structured review processes involving multiple stakeholders. - Has Exceptional Communication Skills: You have the ability to translate complex data policy, classification principles, and regulatory concepts into plain language for a broad, non-technical audience. - Has an Analytical Mindset: You are comfortable working with registry data, usage metrics, and risk criteria to draw actionable conclusions and influence technology strategy. Technical Toolkit - ITSM Platforms: Comfortable managing intake and workflows using tools like ServiceNow or Jira. - Documentation & Policy Management: Proficient with tools such as Confluence or Notion for process management. - Data Management & Registry: Experience working with registry tools such as Airtable or equivalent spreadsheet-based systems. - Regulatory Frameworks (Advantageous): Familiarity with standards and frameworks such as GDPR, NIST, ISO 42001, or the EU AI Act. - Data Platforms (Nice to have): Familiarity or experience working with data catalog or data lineage tooling. Recruitment Stages - Screening - Reviewing CVs and eligibility verification. - 1st Call - 30 minute call to assess Technical & Culture Fit with IT Recruiter. - Tech Interview - 2 hour call with two of our Cloud Engineers to assess your technical knowledge in depth. The interview includes a theoretical section based on test-case scenarios as well as live practical exercises. - Cultural Interview - 1-hour call with a Minder to assess cultural fit with Mindera and align expectations for both parties. - Project/Client Call - A 30 minute to 1 hour call with the client or project team to assess your technical fit for a specific project and align expectations. Benefits - We work in a self-organization culture and therefore we offer a flexible, supportive environment where you are trusted to manage your own time and career. - Well-being First: health insurance and "Open Holidays" because we trust you to know when you need a break. - Flexible Working hours and Work: Work from our vibrant hubs in Porto, Aveiro, or Coimbra, or choose a remote setup that works for you. As long as you are based in Portugal :) - Career Growth: A dedicated budget for training and conferences, plus a transparent profit-sharing model. - Tools for Success: Choose Laptop & Peripherals that best suit your needs, plus Hotspot with unlimited usage (PT), for work or Netflix ;) - Team work makes the dream Work: Mindera Annual Trip, Sports, and sharing groups to connect and have fun! Company Description At Mindera, we use technology to build products we are proud of, with people we love. We believe diverse teams build better products. Mindera is a place where you can be your authentic self, regardless of gender, age, ethnicity, religion, or background. We strive to create an environment where everyone feels they belong and has an equal opportunity to grow. Most of all, you get to work with a group of great people in a politics-free environment where the whole team owns the project together. Our culture reflects our lean and self-management mindset, encouraging colleagues to take risks, make decisions, collaborate openly, and communicate with everyone. Freedom and responsibility go hand in hand, and we value commitment, feedback, and empathy. We are proud of our work and love learning about everything as we navigate an Agile, Lean, and collaborative environment. Curious to know more? Check out our Blog and our Handbook! Our offices are located: Porto, Portugal | Aveiro, Portugal | Coimbra, Portugal | Leicester, UK | San Diego, USA | San Francisco, USA | Chennai, India | Bengaluru, India | Cluj-Napoca, Romania | Blumenau, Brazil