Groupon is mid-transformation. Seven parallel streams. Real targets: contact deflection, resolution rates, repurchase. The streams are moving - but each one needs a single accountable person who can both diagnose the problem and ship the fix. That's this role. You won't be coordinating. You won't be waiting for an analyst or speccing things out for an engineer. You'll pull the data yourself, write the prompt yourself, build the dashboard yourself, and hold people accountable without having authority over them. If it's blocking you, you do it.

Who you'll work with

You'll report to Maguelonne, Director of Operational Transformation. Your closest partners will be teams across Customer Service, Merchant Operations, Product, Engineering, Supply, and Content  with key stakeholders based in Madrid and Prague.

What you'll be doing

• Owning transformation streams end-to-end - defining the problem from raw data, building the delivery plan, assigning owners, setting milestones, and tracking progress in dashboards you build yourself
• Building AI workflows from scratch - writing prompts, running evals, validating output against real cases, improving and scaling
• Pulling and interrogating your own data - building your own reports and business cases without waiting for support
• Holding cross-functional teams accountable - naming blockers early, escalating fast, and not letting "we don't own that" become an excuse for slow delivery
• Finding creative fixes - many people here will say "we tried that before." Your job is to zoom out, find the quick win, and simplify what others have overcomplicated
• Surfacing risks before they become problems - keeping stakeholders aligned without over-meeting

What success looks like

At 30 days: You've personally pulled and analysed the data on your stream. You've shipped at least one small automation or prompt-driven workflow. You know the landscape — the streams, the blockers, the key players.

At 60 days: You own at least one stream with a clear delivery plan. You've prototyped one AI workflow running on real data. Stakeholders come to you when things are stuck.

At 6 months: Contact deflection rate is improving on your stream. At least one AI workflow is in production and being used daily. Your manager doesn't have to chase status — you surface risks before they become issues.

What this role demands

You can demonstrably:

• Ship a production-grade LLM workflow end-to-end - prompt design, tool use, evaluation, edge case handling. A Zapier flow doesn't count.
• Identify an operational problem, form a view on how to fix it, and execute without being pushed
• Hold cross-functional stakeholders to commitments without authority over them — and find structural levers when persuasion alone doesn't work
• Navigate ambiguity and create structure where none exists, while knowing when a decision needs escalation and when it just needs to be made
• Re-plan without drama when priorities shift and not lose the thread of what matters

What we are looking for

• 2-4 years in operations, program management, or strategy & ops roles where you personally shipped - not just managed others who shipped
• At least one production LLM workflow built and running end-to-end
• Comfortable pulling, interrogating, and presenting data without support
• Assertive communicator who names blockers and drives resolution
• Fluent English, based in Madrid or Prague

Nice to have

• Experience at a fast-paced tech or marketplace company
• Familiarity with Customer Service or Merchant Operations contexts
• Active follower of the AI/LLM space - you've tried the tools yourself and have an opinion on which to use when

The hiring process

• TA screen with your recruiter (30 min)
• Hiring manager interview (45 min)
• Case study (3-5 days to complete)
• Case study presentation (45 min) - you walk us through your approach, findings, and recommendations, followed by Q&A

The transformation agenda is real, the exec visibility is high, and the scope is broader than most roles you'll find at larger companies. If you want to move fast, ship AI into production, and be the person who actually unblocks things - apply.

Role Overview:

Netskope is seeking a high-caliber Privacy Engineering Staff Engineer to bridge the gap between legal compliance, data protection technology, and core product engineering. This is a dual-impact role: you will be responsible for the technical "Privacy by Design" controls for the Netskope platform while serving as a strategic deputy to the Global Privacy & Data Protection Officer (DPO).

As the Strategic Deputy to the Global Privacy & Data Protection Officer (DPO), you move beyond task completion to achieve high-level organizational influence.

• Global Compliance Strategy: Support the execution of a multi-jurisdictional privacy program that anticipates the rapid evolution of global data protection laws.
• Board & Audit Influence: Translate complex technical privacy risks into compelling, quantifiable narratives for the Audit Committee and Board of Directors.
• Risk Governance: Oversee the operational maturity of our privacy program within LogicGate, ensuring a closed-loop system of accountability, audit readiness, and incident response.
• DPIA & Rights Leadership: Act as the technical authority for high-risk Data Protection Impact Assessments (DPIAs) and ensure our Data Subject Rights (DSAR) engine operates at optimal efficiency.

You will be the lead privacy architect ensuring that Netskope’s innovation is inherently respectful of data.

• Component Design Review: Lead the privacy-first technical review of every new component within the Netskope platform, engaging with engineering at the "whiteboard phase" to eliminate risks before they reach production.
• PET Implementation: Direct the integration of Privacy Enhancing Technologies (PETs) such as differential privacy, homomorphic encryption, and k-anonymity into the Netskope product suite.
• AI Governance Leadership: Hold a seat on the AI Governance Committee whilst supporting the AI Ambassador program to ensure that AI innovations are built on a foundation of responsible data use.
• Technical Data Defense: Enhance DLP, DSPM, and AI/ML-driven security within our AWS and corporate environments to set the "Gold Standard" for internal data protection.

Key Responsibilities

Product Privacy Engineering & PETs

• Architectural Oversight: Review all new component designs within the Netskope platform to ensure structural compliance with "Privacy by Design" principles.
• PET Integration: Lead the design and implementation of Privacy Enhancing Technologies (PETs) such as differential privacy, homomorphic encryption, or k-anonymity within Netskope product features.
• Early Engagement: Act as a dedicated privacy consultant to product engineering teams during the ideation phase to identify and mitigate privacy risks before code is written.

Deputy Data Protection Officer (DPO) Functions

• Regulatory Support: Support the DPO in managing multi-jurisdictional compliance as the number of global privacy laws continues to rise.
• DPIA Leadership: Conduct and oversee Data Protection Impact Assessments (DPIAs) for high-risk processing activities, ensuring they meet the standard of global regulations.
• Privacy Leadership: Engagement with Netskope customers and partners on privacy and data protection concerns. Provide executive leadership to CISO, Legal and Privacy teams for some of the largest and most prestigious organizations in the world.

Technical Data Protection & AI Governance

• Advanced Controls: Utilize DLP (Data Loss Prevention) and DSPM (Data Security Posture Management) to secure the corporate data lifecycle.
• AI/ML Security: Implement data protection strategies specifically for AI/ML workloads, managing risks associated with training data and model inference.
• AI Advocacy: Serve on the AI Governance Committee and support the AI Ambassador program, fostering a culture of responsible AI use across the organization.

Platform Management

• LogicGate Administration: Manage and optimize the privacy module within LogicGate to track risks, audits, and compliance tasks.
• Netskope Corp Tenant: Take administrative responsibility of the Netskope corporate tenant’s privacy controls, ensuring our own use of the platform is a "Gold Standard" for customers.

Technical Requirements

• AWS Cloud Expertise:
• Cloud-Native Data Protection
• Infrastructure Security
• DSPM Integration.
• Software Engineering Fundamentals.
• API
• Data Architecture Knowledge
• AI/ML

Leadership Competencies & Soft Skills

• Strategic Influence: Ability to translate complex technical privacy risks into business-level impacts for the Audit Committee and Executive Leadership.
• Collaborative Engineering: Proven track record of building "security-first and privacy-first" cultures within engineering teams without slowing down the development lifecycle.
• Ethical Leadership: Strong judgment and integrity, particularly when serving on the AI Governance Committee to balance innovation with ethical data use.
• Stakeholder Management: Excellent communication skills to manage relationships with third-party vendors, legal counsel, and regulators.

Candidate Profile & Qualifications

• Experience: 5+ years in senior technical roles, preferably with a background in security engineering, privacy engineering, or data governance.

#LI-CS1

The job in short

Join our Wealth Engineering team as an AI Applied Engineer where you'll design, develop, and shape our Android investing products. Your innovative, future-ready features will impact over 100 million users globally.

What You'll do

Join Backbase in leading the charge towards a new era in banking innovation. As part of our renowned R&D department, you'll be instrumental in developing, scaling, and deploying cutting-edge software solutions to financial institutions worldwide. Collaborating closely with our talented mobile engineers, you'll help shape the future of FinTech with innovative SDKs and libraries. Let's embark on this exciting journey together as we revolutionize banking for Retail, Business, and Wealth Management clients worldwide.

• Building new features and improving existing features in our wealth mobile banking products for our clients and their end users.
• Achieving high standards through comprehensive non-functional testing, including performance, scalability, and security assessments;
• Own a set of our mobile banking components and create the one stop shop for mobile digital transformation.
• Collaborate with the Application Security team to stay on top of new tech and changes within the security domain.
• Participate in agile and scrum ceremonies while building clean, maintainable, testable and scalable code.
• Join our mobile guild which consists of 70+ mobile engineers to continuously grow your knowledge.

Who you are

Looking for a journey instead of just a job? Then let’s talk! We are THE pioneers in banking tech, and we're looking for someone with a proactive, self-driven attitude who’s ready to tackle challenges and take initiative. You will become part of a dynamic environment that influences the banking experience of hundreds of millions of users worldwide.

If you want to develop our Android Banking Apps and scale our libraries to shape the future of banking, this role is for you. Your excellent communication skills in English—both verbal and written—will help you collaborate effectively within our global team. Experience in the banking domain will allow you to hit the ground running, and your belief in writing clean, maintainable, and scalable code will align perfectly with our commitment to quality.

• You have 4+ years of relevant working experience working on complex Android-based products;
• You have a solid experience of working with both Kotlin and Java.
• You have a deep comprehension of MVVM as well as strong understanding of design patterns (eg: Creational, Structural & Behavioural).
• You have experience of working with Jetpack, Retrofit or OkHttp, Coroutines, Flow, and Channels.
• You have a solid knowledge of Dependency injection design patterns.
• You have experience in writing unit tests with JUnit and you understand the testing pyramid.
• You are familiar with CD/CI practices and understand core concepts such as Data Structures, Algorithms and System Design.
• You have hands-on experience with RESTful APIs.
• You have worked with Android Studio and Git in the past.