Talent Acquisition Ops & AI Enablement Manager

Backbase

Backbase is evolving into an AI-native organization. As the pace of change accelerates — in our product, our go-to-market, and the way we build teams — Talent Acquisition is becoming a strategic function, not a support function.     We are looking for a Talent Acquisition Business partner to be the recruitment partner for our Services Department , a complex team to recruit for, with global reach, unpredictable demand cycles, and a delivery-focused talent profile that requires a recruiter who can stay ahead of the curve. This role sits at the intersection of hands-on delivery and strategic partnership. You'll own the full recruitment cycle for the Services department — building real relationships with hiring managers, aligning priorities, and being the person in the room who brings insight, not just candidates. You'll also lead and develop two recruiters, helping them grow while keeping the team's standards high. What you'll own ● Strategic partnership with Services: Be the dedicated TA partner for the Services department — not just a supplier, but a trusted advisor who understands the team's structure, priorities, and challenges. Run weekly stakeholder check-ins, align on hiring plans before demand hits, and make sure TA commitments are delivered with clarity and pace. You're accountable for the relationship, not just the roles. ● End-to-end recruitment delivery: Own the full cycle for your portfolio — from intake and requirement-setting through to offer. Lead structured intakes that produce real clarity on the brief. Run candidate pipelines with discipline, maintain healthy conversion rates, and keep a clear view of what's open, upcoming, and on-hold at all times. When demand outpaces capacity, you escalate early — not after the damage is done. ● Sourcing & pipeline building: Source proactively for your assigned roles — choosing channels based on the market and the profile, not habit. Build and maintain passive pipelines for high-priority and recurring role types so you're never starting from zero. Use Backbase EVP messaging consistently in outreach and apply candidate feedback to refine it over time. ● Market insight & data-led advising: Bring the outside in. Use market data to advise hiring managers on realistic expectations — talent availability, time-to-hire, compensation benchmarks. Track competitor hiring activity and surface relevant signals to your HRBP. Your value isn't just filling roles; it's helping the business make better hiring decisions. ● Structured assessment & quality of hire: Run structured screening aligned to the role brief and competency model. Call it out when interviewer feedback is inconsistent or unconvincing. You're a guardian of the quality bar, not just a facilitator of the process. ● AI-assisted recruiting: Use AI tools actively to improve the quality of briefs, outreach, and research. Keep ATS data clean and support team reporting. You use pipeline data to manage role health and communicate progress with confidence. ● Team development & contribution: Lead two recruiters — giving structured feedback, supporting their development, and helping them grow without doing the work for them. Share learnings and best practice in team rituals and retros. Contribute to team initiatives beyond your own portfolio. The team wins together or not at all.     ● Solid full-cycle recruiting experience, ideally within a B2B SaaS, fintech, or professional services environment — you know what great looks like in these talent markets. ● A track record of genuine stakeholder partnership — not just status updates, but real advisory relationships where hiring managers come to you for input, not just candidates. ● Comfortable holding the line on quality — able to push back on a weak brief, challenge an unconvincing scorecard, and advocate for the candidate experience without losing the room. ● Experience using or implementing AI tools in a recruiting workflow — you're curious about what's possible and practical about how you apply it. ● Data-literate — you use pipeline metrics and market benchmarks to frame conversations with hiring managers, not just to report upwards. ● Experience mentoring or guiding experienced colleagues — you're ready to step into a lead role and know that developing others is part of the job, not a distraction from it. ● Structured and organised under pressure — you can manage a complex portfolio across multiple markets and still communicate with clarity when things shift. ● You are already based in Amsterdam — the Services team you'll be partnering with is here, and in-person presence matters for building the kind of relationships this role requires.

Beamery

ABOUT BEAMERY With the rapid expansion of AI and automation, the future of work has never been more challenging for organizations. Beamery’s unique jobs, skills and tasks data platform helps organizations navigate these challenges and make more informed decisions across Talent Lifecycle Management. Our solutions power recruitment, mobility, upskilling, diversity, work architecture and workforce planning for some of the world’s most forward-thinking companies. We believe that where you work is much more than just a job. Millions of people are being left behind every day in their careers, and we’re on a mission to fix this by creating equal access to meaningful work, skills and careers for all. We are an equal opportunity employer committed to building a representative Beamery, creating an equitable, inclusive and engaging environment for our people. So, what are you waiting for? Join us and help us transform the future of work once and for all. What’s ahead — and why it’s an exciting time to join the team:  Deepening our native integrations with SAP, Workday, Microsoft, and LinkedIn to seamlessly embed our skills intelligence into the platforms where critical workforce decisions are made. Embedding our agentic AI to help customers plan smarter for the future—powering workforce strategies, internal mobility, and skills forecasting. Advancing our use of proprietary LLMs and knowledge graph technology to help organizations unlock broader talent pools, make fairer decisions, and expand access to opportunity at scale. But it’s not all about creating high-quality products, we also very much value the company culture we have worked hard to create; built on trust, empathy & honesty ensuring our workforce is able to bring their full selves to work. RESPONSIBILITIES * Build and maintain reporting that product managers, engineering leads, and the exec team actually use to tell stories and make decisions. This includes recurring dashboards in Hex as well as one-off analyses in response to specific product questions. * Partner directly with PMs across the portfolio (Talent CRM, Work Architecture, Work Intelligence) to answer product questions such as usage, adoption, retention, feature performance, conversion through key flows. * Maintain the product analytics tool stack (incl. Pendo, and Hex). Make sure they're configured well, integrated properly, and that PMs and designers can get to the answers they need without always going through you. * Enable PMs to self-serve. Build the dashboards, templates, and documentation that mean routine questions don't need an analyst in the loop. Your job is to make yourself unnecessary for the easy stuff so you can focus on the hard stuff. * Design and iterate AI agent workflows to automate prospecting, outreach, lead qualification, and follow-up * Leverage LLM-powered tools to build scalable, autonomous product ops processes (e.g. customer and market feedback ops, roadmap and planning, process and governance, internal communication and team enablement) * Instrument agents with feedback loops and quality controls * Evaluate emerging AI tooling and document agent architectures so workflows are reproducible and maintainable What we're looking for * Strong SQL. You'll be writing it daily, against messy real-world data, and you should be comfortable doing so as a stand-alone SME. * A track record in product analytics, ideally in a B2B SaaS environment, ideally somewhere with multiple products or a reasonably complex data model. * Hands-on experience with Pendo or a comparable product analytics tool (Amplitude, Mixpanel, Heap), and with a SQL-based exploration tool like Hex, Mode, or similar. * You can tell a clear story with data such as building a dashboard that doesn't need a tour, or present a finding to a PM or a VP with strong clarity and focus. * Pragmatism. Beamery's data isn't pristine. We need someone who can make progress in a real environment in the face of imperfect conditions. * Hands-on experience building AI/LLM-powered automation workflows - either in a business or personal context Nice to have * Experience analysing AI/ML-powered product features. * Exposure to HR tech, talent acquisition, or workforce data. Beamery is for Everybody. Diversity and open expression are fundamental to us. We acknowledge the challenges in our industry and strive to develop an inclusive culture where everybody can contribute. We are dedicated to creating an inclusive environment for everyone, regardless of ethnicity, religion, color, sexual orientation, gender identity, race, national origin, age, disability status, or caregiver status. If, for whatever reason, you need us to make reasonable adjustments and adaptations to our recruitment process, please email accommodations@beamery.com Visit our Diversity, Equality and Inclusion page to learn more about progress and commitments.

Valtech

Engineering Manager - AI Specialist (all genders) Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience. THE OPPORTUNITY At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries.  We are proud of:  * The work we do and the innovation we drive * Our values of share, care and dare * A workplace culture that fosters creativity, diversity and autonomy * Our borderless, global framework, which enables seamless collaboration THE CONTEXT Valtech is a strategic partner for this client, responsible for the design, delivery, and operation of large-scale digital platforms across eRetail and Retail. After successfully industrializing e-commerce and retail delivery, the next strategic frontier is Artificial Intelligence as a core transformation lever, impacting the entire value chain: engineering productivity, delivery predictability, quality, testing, operations, and production support.  AI is no longer treated as a set of isolated experiments. It is a foundational capability that must be embedded into Valtech delivery operations, at scale, with measurable business and operational impact.  Beyond AI, Valtech is continuously expected to innovate and improve its delivery and support model, strengthening efficiency, quality, resilience, and time-to-market in a demanding retail environment.  This role exists to ensure that AI transformation within Engineering excellence and broader operational innovation are structured, governed, value-driven, and industrialized, while reinforcing operational excellence across all delivery domains.  THE ROLE   The role is transversal by design: authority comes from expertise, vision, and execution leadership, not from direct hierarchical control. Reporting to Client Partner and Managers at Valtech for our luxury and international client you will:  * Lead Valtech’s end-to-end AI transformation and operational excellence for the client account.  * Own the definition, orchestration, and execution of AI initiatives, ensuring they move from POC to industrialized, production-grade capabilities delivering tangible value.  * In close coordination with the AI Transformation Program Manager, ensure AI-driven transformation is consistently embedded across the four core pillars of delivery:  * Agile Operating Model  * Engineering * Quality & Testing  * Production & Support  * Beyond AI, actively drive innovation and continuous improvement of delivery and support operations, leveraging AI, automation, process optimization, and new operating practices.  KEY RESPONSIBILITIES  AI Transformation Leadership  * Define and own the global AI transformation roadmap across eRetail and omnichannel delivery.  * Ensure AI initiatives are aligned with the client’s business priorities and Valtech’s delivery and operational objectives.  * Drive AI adoption beyond experimentation, with clear industrialization paths, ownership models, and value tracking.  * Position AI as a structural enabler of delivery performance, quality, and operational efficiency.  Coordination with AI Transformation Program Management  * Work in close partnership with the AI Transformation Program Manager, ensuring alignment between strategic roadmap, execution planning, and delivery reality.  * Contribute delivery and operational expertise to program-level prioritization, sequencing, and risk management.  * Ensure consistency between program governance and on-the-ground execution across teams. * Act as the operational counterpart to the program manager, securing adoption, scalability, and sustainability of AI initiatives.  Governance & Stakeholder Management  * Act as Valtech’s AI and operational excellence reference toward the client.  * Represent AI and delivery innovation initiatives in SteerCos, transformation committees, and executive forums.  * Provide clear, structured reporting on progress, value delivered, risks, and dependencies. * Escalate blockers early and propose concrete, execution-ready mitigation plans.  Transversal Team & Community Leadership  * Animate and federate a transverse community of AI and innovation champions embedded across engineering, QA, support, and product teams.  * Lead and coordinate distributed AI Ops, scripting, automation, and tooling resources, notably in India.  * Ensure consistency of practices, standards, tooling, and documentation across all domains.  * Reinforce a shared ownership model: innovation and AI are collective responsibilities, not isolated initiatives.  AI Integration Across the 4 Pillars: Engineering  * Promote AI-native architectures, developer productivity tools, and best practices. * Support AI-assisted development, code quality, refactoring, and technical acceleration. Agile Operating Model  * Adapt delivery rituals, governance, and planning to support AI-driven and data-intensive initiatives.  * Improve predictability and flow while managing experimental constraints.  Quality & Testing  * Define strategies for AI testing, validation, explainability, and monitoring.  * Embed AI and automation into test strategies, regression prevention, and defect analysis. Production & Support  * Implement AIOps capabilities for proactive monitoring, incident prediction, and MTTR reduction.  * Strengthen production stability, observability, and operational resilience.  Operational Excellence, Innovation & Industrialization  * Drive continuous improvement initiatives across delivery and support operations, beyond AI-only use cases.  * Identify and promote innovations in automation, tooling, processes, and operating models. * Ensure initiatives meet enterprise-grade standards: security, scalability, observability, compliance.  * Drive measurable improvements on delivery and support KPIs (cycle time, quality, incidents, automation rate, cost efficiency).  * Ensure smooth transition from build to run, with full ownership by support teams. * Avoid “shadow initiatives” by enforcing clear governance, documentation, and ownership. Organization & Role Positioning  The Head of AI Transformation & Operational Excellence is a transversal leader.  * Coordinate closely with the AI Transformation Program Manager and delivery leaders.  * Authority is based on strategic vision, delivery credibility, and execution rigor.  * Orchestrate, influence, and federate teams embedded in their respective domains.  * Success is measured by adoption, industrialization, operational impact, and value delivered, not by the number of POCs. MUST HAVE HARDSKILLS  * Proven track record in leading complex, data-driven or AI-enabled transformation programs.  * Demonstrated ability to move initiatives from POC to industrialized, production-grade solutions. * Experience leading distributed delivery teams (onshore/offshore).  * Strong understanding of e-commerce, retail, or omnichannel ecosystems.  * Ability to operate at both strategic and operational levels.  * Fully bilingual French / English is mandatory.  MUST HAVE SOFTSKILLS * Strong transformation leader with a clear, forward-looking vision.  * Clear, direct, and structured communicator; able to simplify complexity.  * Pragmatic, execution-focused, and value-driven.  * High autonomy, ownership, and ability to influence without formal authority.  * Comfortable operating in complex, high-pressure, multi-stakeholder environments.  If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn. COMMITMENT TO REACHING ALL KINDS OF PEOPLE We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all.  THE BENEFITS   This is a permanent position based in Paris/France with 3 days at the client’s office. Beyond a competitive compensation package, we offer:  * Flexibility, with remote and hybrid work options (country-dependent)  * Career advancement, with international mobility and professional development programs * Learning and development, with access to cutting-edge tools, training and industry experts Our benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process.  YOUR APPLICATION PROCESS Once you apply, our Talent Acquisition team will review your application. If your skills and experience align with the role, we’ll reach out for next steps. ⚠️ Beware of recruitment fraud: Only engage with official Valtech email addresses ending in @valtech.com. We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know.  ABOUT VALTECH Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world.  At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more.  At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate.  Are you ready to create what’s next? Join us. As per the AGG (General Equal Treatment Act) in Germany and equivalent in France, jobs must be advertised in a gender-neutral manner. We use the statement (all genders) to make it clear that this position is open to all genders in these countries, even if the job title itself can be translated or interpreted as "masculine" in the French or German language.