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Social Discovery Group (SDG) is a group of social discovery companies. SDG solves the problems of loneliness, isolation, and disconnection - transforming virtual intimacy into the new normal. SDG’s products redefine the way people interact and connect with one another. Our portfolio includes social entertainment platforms designed to connect people online across different cultures and regions of the world. We bring together a team of like-minded people and IT professionals who specialize in creating and developing globally impactful social discovery products. Our international team of digital nomads works remotely from all over the world. We’re proud to be a two-time “Great Place to Work” winner (USA & Japan, 2024–2025) and a Top-5 Company for Work-From-Anywhere Jobs (FlexJobs, 2025). We are looking for Senior Product Analyst to join our main product team. Your main tasks will be: 1. Metrics Ownership Maintain and evolve the metrics tree Validate metrics and verify that dashboards are built correctly, write clear specs for Data Engineering Own a single, locked definition for each metric (no two ways of calculating the same thing) Decompose the north-star metric down to the level each team can actually influence Run ad-hoc investigations into metric fluctuations Work directly with functional leads 1. Research Ad-hoc investigation of metric fluctuations and anomalies Find and analyze bottlenecks: conversion drop-offs and segmentation Validate product hypotheses Data mining for non-obvious patterns and growth opportunities Prioritize problems jointly with Product, ranked by potential impact on the north-star metric 1. A/B Testing Test design calculations: sample size, MDE, duration, randomization split Verify split correctness and run sanity checks before reading any results Report results together with guardrail metrics Define data-tracking requirements (which events must be added) Maintain the test archive Deliver actionable recommendations from each experiment Proactively surface data-quality issues before decisions get built on that data We expect from you: • Received a mathematical or technical higher education; • Possess knowledge, experience in applying the methods of mathematical statistics and probability theory; • You are proficient in data extraction, processing, analysis and visualization tools (MS SQL, Python, Excel); • Have deep experience in running and analyzing A/B tests; • Have deep knowledge of marketing metrics, experienced in using them. What do we offer: REMOTE OPPORTUNITY to work full-time; The initial pay level or pay range for this role will be shared with candidates during the recruitment process and before the commencement of employment; Vacation 28 calendar days per year; 7 wellness days per year (time off) that can be used to deal with household issues, to lie down and recover without taking sick leave; Bonuses up to $5000 for recommending successful applicants for positions in the company; 50% payment for professional training, international conferences, and meetings; Corporate discount for English lessons; Health benefits. According to the paychecks, if you are not eligible for corporate medical insurance, the company will compensate you with up to $ 1,000 gross per year per employee. This can be spent on self-purchase of health insurance or on doctor’s fees for yourself and close relatives (spouse, children); Workplace organization. The company provides all employees with an equipped workplace and all the necessary equipment (table, armchair, wifi, etc.) in our offices or co-working locations. In the other locations, the company provides reimbursement of workplace costs up to $ 1000 gross once every 3 years, according to the paychecks. This money can be spent on the rent of the co-working room, on equipping the working place at home (desk, chair, Internet, etc.) during those 3 years; Internal gamified gratitude system: receive bonuses from colleagues and exchange them for our merchandise, team building activities, massage certificates, etc. Sounds good? Join us now!

As an Enterprise Solutions Engineer (EMEA) at Quantum Metric, you will serve as a trusted technical advisor supporting complex, high‑value sales opportunities across the region. Working in close partnership with Enterprise Account Executives, you will engage with large, multinational organizations to help them transform how they understand and optimize digital customer experiences. In this role, you will guide the technical strategy for enterprise deals, aligning Quantum Metric’s platform with strategic business initiatives. You will connect with diverse audiences—from digital and product teams to C‑level executives—positioning Quantum Metric as a critical component of enterprise digital transformation. • Strategic Advisory: Guide the technical strategy for enterprise sales cycles across EMEA, from initial discovery to closing., • Solution Design: Create tailored demonstrations and narratives that align Quantum Metric’s platform with high‑level business outcomes., • POC Execution: Lead complex proof‑of‑concepts, defining success criteria and quantifying measurable business value., • Technical Architecture: Translate customer needs into scalable solution architectures and clear value propositions., • Cross‑Functional Partnership: Collaborate with Account Executives on deal orchestration and coordinate with Product/Engineering to ensure smooth post‑sales onboarding., • Market Influence: Support RFP responses and provide structured customer feedback to influence the product roadmap., • Linguistic Skills: Proficiency in English and German; additional European languages preferred., • Experience: 4+ years in Enterprise Pre‑Sales/Solutions Engineering within the SaaS or software sector., • Sales Acumen: Proven success supporting complex, multi‑layered sales cycles for large enterprise organizations., • Stakeholder Management: Ability to engage both technical teams (architects/developers) and C‑suite executives (CIO/CDO)., • Technical Depth: Hands‑on experience with web technologies (JavaScript, HTML, CSS) and ROI‑based solutioning., • Communication: Exceptional storytelling and presentation skills tailored for diverse corporate environments., • Agility: Strong organizational skills to manage multiple strategic deals and a willingness to travel 25–30% across EMEA., • Experience in Digital Experience Analytics or CXM platforms., • Familiarity with agentic AI, enterprise data architecture, or tagging strategies., • Background in high‑growth SaaS or digital transformation consulting., • One‑time Home‑Office Stipend upon hire., • Monthly Business Expense Stipend., • Stock Options., • Employee Lead Referral Program., • Internal Lead Referral Program., • Company‑wide Unlimited Paid Time Off policy (in addition to company vacation entitlement)., • Flexible Schedules., • Work From Home., • MacBook and swag delivered to your door., • Recharge Program (after 3 years, disconnect for 3 weeks, no email/Slack)., • QM‑funded Restaurant Vouchers., • Private Medical Insurance – 100% Employer Paid, covering employees and family, includes routine dental care. Quantum Metric is an E‑Verify employer. #J-18808-Ljbffr

Full-time Department: Product Operations Dept: Product Operations Division: Product Company Description Nexthink is the leader in digital employee experience management software. The company provides IT leaders with unprecedented insight allowing them to see, diagnose and fix issues at scale impacting employees anywhere, with any application or network, before employees notice the issue. As the first solution to allow IT to progress from reactive problem solving to proactive optimization, Nexthink enables its more than 1,300 customers to provide better digital experiences to more than 18 million employees. Dual headquartered in Lausanne, Switzerland and Boston, Massachusetts, Nexthink has 9 offices worldwide. #Li-Hybrid Job Description About the role The Product Intelligence team serves a critical role by providing business intelligence to the organization: we synthesize data sources across the company, delivering product usage and business insights that directly shape product strategy and decision-making. We are looking for a Data Analytics Lead to own the analytical and semantic layer of Product Intelligence – the person who defines what our data means, makes sure it is trustworthy, and turns it into insight that changes decisions. You will work hand in hand with Product Management and Engineering to define the telemetry we need in order to answer the questions the business is actually asking, establish the success metrics that product and commercial teams are measured against, and proactively investigate product usage and user journeys to surface opportunities PMs would not have found on their own. You will also be the analytical voice in the room with senior leadership, regularly presenting insights and recommendations to senior management. This is a deliberately broad, high-ownership analytics role rather than a report-building one. You will own data quality, cataloging, and the semantic definitions that make our data AI-ready, and you will partner closely with your data engineering counterpart – defining the business needs and data requirements, and collaborating with them to deliver the pipelines and models that support them. As a senior individual contributor, you will lead our analytics function, its standards, and its definitions. As Lead you are expected to own the discipline and set its direction, with your influence coming from the quality of your work and your partnerships across Product, Engineering, and the business. What you’ll do Insight & analysis Partner with Product Management and business stakeholders to translate product usage and telemetry data into product-led insights – identifying upsell opportunities, predicting churn, and supporting revenue targets. Perform proactive, self-directed analysis into product usage and user journeys – funnel and drop-off analysis, feature adoption, cohort and retention behaviour – to help Product Managers understand how the product is really used and where to improve it. Define, document, and own the success metrics used to evaluate product features, releases, and business objectives, and make sure they are consistently understood and applied across teams. Provide regular reporting, insights, and recommendations to senior management, and present them directly to that audience. Manage senior stakeholders across the business, balancing competing analytical priorities from Product, Sales, Customer Success, and Finance. Own the semantic layer: define what our core business entities and metrics mean – customer, account, active user, adoption, churn, expansion – so that a given metric means the same thing everywhere in the company. Champion an AI-ready data strategy by defining the semantics, metric definitions, and metadata that allow AI and LLM-powered tools to query our data reliably and return trustworthy answers. Own data quality for the analytical layer: define quality expectations and checks, monitor for silent correctness failures, and drive issues to resolution with the owning teams before they reach a dashboard or a leadership deck. Build and maintain the data catalog and documentation, so that data consumers across the company can find data, understand its meaning, and know how much to trust it. Establish and maintain data governance practices for the analytics layer – ownership, lineage, definitions, and access – proportionate to a fast-moving team. Data collection & partnering with Engineering Work with Product Managers and Engineering to define and implement new product telemetry, specifying the events, properties, and grain needed to answer real business questions – and validating that what ships actually answers them. Identify gaps in what we currently collect, and make the case for the instrumentation needed to close them. Define business and data requirements clearly enough to be built, and collaborate with your data engineering counterpart to deliver the pipelines, models, and data structures required to support them. Contribute to the design and evolution of the analytics layer, including semantic modeling and dashboarding within our BI tools. Promote an agile, iterative way of working and actively contribute to team ceremonies. Qualifications What We’re Looking For Degree in a quantitative, technical, or business-analytical field, or equivalent practical experience. 7+ years of experience in a data analyst, product analyst, analytics engineer, or business intelligence role, including experience operating with a high level of autonomy and owning your own analytical agenda. Strong SQL – comfortable working directly in a data warehouse against large, messy, multi-source data without needing someone to prepare it for you. Proven experience partnering with Product and business teams to deliver product-led insights, such as identifying upsell opportunities, predicting churn, or supporting revenue growth. Demonstrated experience managing senior stakeholders and presenting data strategy and insights to executive/C-level audiences. Hands-on experience with product usage or telemetry data – funnels, user journeys, feature adoption, cohort and retention analysis. Experience defining success metrics and KPIs, and the judgement to know when a proposed metric will drive the wrong behaviour. Experience with data visualization and BI tools such as Power BI, QuickSight, Tableau, or similar – including building the semantic/data model behind a dashboard, not just the dashboard itself. Solid understanding of data modeling concepts (facts, dimensions, grain, slowly changing dimensions) and the ability to reason about whether a data model can answer a given business question. Hands-on experience using agentic AI coding tools – Claude Code or similar – as part of your day-to-day analytical work: exploring unfamiliar data, writing and debugging queries and transformations, and automating repetitive analysis. Familiarity with the modern data stack – dbt, cloud data warehouses (Redshift, Snowflake, BigQuery, or similar), AWS services such as S3, Athena, or Glue – and comfort using Git as part of an analytics workflow. Experience specifying telemetry or instrumentation requirements together with Product and Engineering teams. Excellent communication skills, with the ability to explain a complex finding simply without losing its rigor. Fluency in English. Available to travel to our head office in Lausanne on an occasional basis. Practical experience owning data quality – defining checks and expectations, investigating discrepancies, and distinguishing a genuine business result from a data problem. Experience with data cataloging, documentation, or data governance practices, and an understanding of why shared definitions matter more than tooling. Solid understanding of AI/ML and LLM concepts and their implications for data – in particular, why semantic definitions, metric consistency, and data quality determine whether an AI tool gives a trustworthy answer or a plausible wrong one. Ability to identify where AI can create value in an analytics workflow, and interest in using it to work faster. How you work Curious and proactive: you go looking for the insight nobody asked for, and you sanity-check a result against business reality before you present it. Comfortable with ambiguity – able to turn a vague business question into a well-defined analysis, and to say clearly when the data cannot answer it. Collaborative: you work as a genuine partner to Product Managers and to your data engineering counterpart rather than as a request queue. Rigorous and honest about confidence levels, caveats, and the limits of the data. Additional Information We are the pioneers and trailblazers of a global IT Market Category (DEX) that is shaping the future of how the world works, giving our customers’ IT Teams total digital visibility across their enterprise. Our innovative solutions integrate real-time analytics, automation, and employee feedback across all endpoints. This enables our IT teams to solve complex technical challenges, create ever more productive workplaces, and deliver happy, satisfied employees in the digital workplace. With over 1000 employees across 5 continents, Nexthink operates as One Team, connecting, collaborating and innovating to continuously grow. We call our employees ‘Nexthinkers’ and our commitment to diversity, inclusion, and equity is second to none. We currently have over 75 nationalities working with us, from all cultures and backgrounds, speaking many different languages. IIf you are looking for a change and like a nice atmosphere, lots of challenges, and having fun while working, this is a great opportunity for you! Check what we offer: Permanent Contract and a competitive compensation package. Amazing centrally located offices near the Bernabeu Stadium. Private Health Insurance (Sanitas) and daily meal vouchers of 11 EUR will be entirely covered by us. Hybrid work model balancing office and remote work, with a structured approach for new hires to foster connections and onboarding. Flexible Hours and unlimited vacation (employees have unlimited paid time off on top of the 23 days of holidays we offer) plus 3 company-paid volunteer days. Up to 25 EUR per month for a gym subscription. Flexible compensation plan for childcare & public transportation. Reimbursement of up to 50% of the cost of English & Spanish classes. Regular company and team events like Pizza talks, Team Building activities, Christmas parties, hosting Meetups at the office and more! Bonuses for referring successful hires after three months of continuous employment. We offer a relocation package to people who are coming from another country. Please note that not all the benefits listed above are available for temporary, contract, and internship roles. To ensure you have the most up-to-date information, we recommend checking with your Recruitment Partner. The base salary for this role is€85,000 – €120,000 gross per year, with a total on-target earnings (OTE) range of €97,750– €140,000 including an annual performance bonus. You'll also be part of our broader total rewards package — including benefits tailored to where you live and how you work best. We set our pay ranges using objective criteria: the scope and level of the role, the skills it takes to do it well, and the relevant market data. Ranges are reviewed every year to remain competitive and fair. We're transparent about this because we think you deserve to know what you're working towards from day one. In accordance with the EU Pay Transparency Directive (2023/970), we publish salary ranges on every Nexthink role. We won't ask what you currently earn or your previous salary. What matters to us is what this role is worth and whether it works for you. Nexthinkers come from all kinds of backgrounds, and that's what makes us stronger. We welcome applications from everyone. By clicking the link above or any third-party link within this posting, you are leaving this site and going to a third-party website where the third-party website’s terms and privacy policy apply #J-18808-Ljbffr

About Qualitas Energy: Qualitas Energy is a leading global investment and management platform with a dual focus on both funding and developing renewable energy, energy transition, and sustainable infrastructure. Since 2006, the Qualitas Energy team has dedicated over €14 billion to the energy transition worldwide. These investments have been deployed through six vehicles: Fotowatio / FRV, Vela Energy, Qualitas Energy III, Qualitas Energy IV, Qualitas Energy V, and Qualitas Energy Credit Fund. Qualitas Energy’s existing portfolio currently comprises 11 GW of operational and development-stage renewable energy assets – including solar PV, concentrated solar power (CSP), wind, energy storage, hydroelectric power, and renewable natural gas – across Spain, Germany, the United Kingdom, Italy, Poland, Chile, and the United States. Over the past five years, Qualitas Energy has generated enough energy to supply 1.7 million homes and has successfully avoided the emission of 1.5 million metric tons of CO2 equivalent. The Qualitas Energy team consists of more than 550 professionals across fifteen offices in Madrid, Berlin, London, Milan, Hamburg, Wiesbaden, Trier, Cologne, Stuttgart, Warsaw, Wroclaw, Santiago, Durham, Bristol, and Edinburgh. As part of this strategy, we are looking to hire a Technical/ Commercial Asset Manager in our PV AM department. Responsibilities and duties: Monitor the performance of PV plants through SCADA systems and other monitoring tools, identifying anomalies and supporting the optimisation of energy production and asset availability. Monitor and report key technical KPIs, including Availability, Performance Ratio (PR), energy losses and irradiation. Analyse deviations between budgeted and actual performance and propose appropriate mitigation measure. Supervise O&M contractors and ensure compliance with contractual obligations, agreed service levels and performance targets. Manage technical warranty claims with EPC contractors, O&M providers and equipment suppliers. Support the management of relationships with regulatory bodies, grid operators and public authorities. Ensure compliance with applicable grid code requirements, HSE standards, and local regulations. Prepare, monitor and manage annual technical operating budgets, including Opex and Capex. Manage key operational and commercial contracts, including O&M agreements, Asset Management agreements, insurance policies and grid connection agreements, and participate in or lead related negotiations. Oversee compliance with PPA obligations and revenue-related agreements. Support insurance claims arising from technical incidents, coordinating the necessary technical documentation and follow-up. Prepare technical and asset performance reports for internal management, investors, lenders and other relevant stakeholders. Support asset acquisitions, technical due diligence processes and the onboarding and integration of new projects into the portfolio. Contribute to the continuous improvement of internal Asset Management processes, tools, reporting standards and methodologies, with the objective of optimising asset performance and operational efficiency. Experience and requirements: Bachelor’s or Master’s degree in Engineering, preferably Energy, Electrical, Mechanical, Industrial Engineering or a related field. 1–3 years of professional experience in Asset Management, O&M, technical advisory or a similar role within the renewable energy sector. Good understanding of renewable energy assets, preferably utility-scale solar PV. Strong analytical skills and ability to interpret technical and financial performance data. Advanced knowledge of Microsoft Office tools, particularly Excel, PowerPoint and Word. Good command of English, both written and spoken. Proactive, analytical and solution-oriented mindset, with a strong sense of ownership. Strong organisational skills. Qualitas Energy offers: The opportunity to join a leading team in the global renewable energy sector. A permanent contract. A competitive salary based on the candidate’s qualifications. Health and dental insurance. A company pension plan. Ongoing training and professional development. We firmly believe that diversity and inclusion drive innovation and enhance collective performance. Therefore, we ensure recruitment and professional development processes based on objectivity, equal opportunities, and merit, guaranteeing that all individuals are valued for their skills and contributions, regardless of gender, age, sexual orientation or identity, culture, disability, or any other personal or social condition. #J-18808-Ljbffr

Your mission We are looking for a Senior Analytics Engineer / Semantic Model Owner (Microsoft Fabric / Power BI) to help build and govern QBi’s next-generation analytics foundation. This is not a report-factory role. The role exists to reduce one-off reporting effort by building reusable, governed and scalable data products : Microsoft Fabric data structures, Power BI semantic models, KPI definitions, validation rules, reporting patterns and renewable-domain data models that can be reused across customers, internal teams and future product modules. The ideal candidate combines strong data modeling and Microsoft Fabric capability with data-quality discipline and the ability to translate industry-standard workflows into robust analytical structures . This person should be comfortable working with business stakeholders, product teams, data engineers, analysts and leadership. They must be able to distinguish between a one-off dashboard request and a recurring data-model need that should become part of QBi’s reusable data foundation. Mission Your mission will be to turn QBi’s renewable-energy knowledge into scalable data and semantic-model assets. You will be instrumental in showing how and helping QBi move from fragmented reporting and ad hoc BI execution toward a governed analytics layer that supports: Existing customer reporting and reporting modernization; Microsoft Fabric / Power BI semantic-model governance; Technical Analytics and data-quality logic; Data Model-as-Infrastructure / Renewable Data Foundation offers; Future AI-native product and operational workflows; Future Revenue Copilot and hybrid revenue intelligence products. What This Role Is — and Is Not This role IS a senior analytics engineering role; a semantic model ownership role; a Microsoft Fabric / Power BI governance role; a renewable-domain data-model role; a bridge between business needs, data structures and scalable analytics; a role that uses AI to accelerate analytics engineering, documentation and model review. This role IS NOT a generic Power BI report-builder role; an open-ended “stakeholder asks, we build a dashboard” role; a data-science key trends informed role; a deep ML engineering role; a generic Microsoft consulting role; a role that accepts unbounded custom work without converting it into reusable patterns. Key Interfaces This role will work closely with: Data Engineering; BI / Reporting; Product Builders; Architecture / Platform; selected external Fabric or data-platform specialists where needed. And from time to time with: Customer Operations and Professional Services; Commercial / KAM teams; future Revenue Copilot and Renewable Data Foundation owners; Key Responsibilities 1. Own and evolve QBi’s semantic model layer Design, maintain and improve reusable semantic models for Power BI and Microsoft Fabric. Define consistent KPI logic, measures, dimensions, hierarchies and analytical relationships. Maintain metric definitions, calculation logic and semantic-model documentation. Ensure business users, analysts and AI tools work from trusted semantic foundations. Review changes to key measures, shared datasets and customer-facing analytical structures. 1. Build scalable data models in Microsoft Fabric Design conceptual, logical and physical data models for renewable-energy use cases. Work with Microsoft Fabric Lakehouse, Warehouse, semantic models and related data-engineering patterns. Translate renewable asset, portfolio, contract, event, revenue, reporting and data-quality concepts into scalable model structures. Collaborate with data engineers on ingestion, transformation and validation patterns. Support reusable Fabric architectures for internal and customer-facing use cases. 1. Reduce custom BI workload through reusable analytics assets Convert recurring reporting needs into reusable semantic models, templates, report families and governed data products. Challenge ad hoc report requests when the better answer is model improvement, template creation or self-service enablement. Build reporting structures that reduce manual BI customization. Help define which requests become product features, governed analytics patterns or bounded expert-service work. 1. Strengthen data quality, governance and trust Define validation rules, reconciliation checks, data-quality indicators and confidence signals. Classify and explain data-quality issues in operational and customer-facing contexts. Support lineage, data ownership, metric governance and semantic-model change control. Identify where data-quality limitations affect reporting, customer trust or product behavior. Ensure analytical outputs are explainable and defensible. 1. Support QBi’s Renewable Data Foundation strategy Turn QBi’s renewable-data knowledge into reusable data-model … #J-18808-Ljbffr

Location: Spain - Candidates must be resident in Spain at the time of application. Work Arrangement: Remote Reporting to: Principal Research Scientist Please submit your CV in English. As English is the primary working language, a minimum proficiency level of B2 is required. About Daon Daon is a global leader in digital identity fraud prevention and protection against AI-generated synthetic identities. For over 25 years, we have partnered with governments and leading enterprises to deliver secure, seamless identity experiences across financial services, telecommunications, healthcare, travel, and critical infrastructure. Our TrustX platform enables organizations to orchestrate secure, scalable, cross‑channel identity workflows — supporting identity verification, biometric authentication, and lifecycle management across complex environments. More than two billion identities worldwide have been safeguarded by Daon technology. Recognized as a leading provider by Gartner, KuppingerCole, and Frost & Sullivan, Daon is shaping the future of identity security. Daon has been providing fraud‑prevention solutions to organizations across six continents for over two decades. Come play a part in advancing the next generation of facial liveness, matching, and anti‑fraud biometric technologies. Role Overview As part of a collaborative team of research and data scientists based in Europe, you will play a meaningful role in advancing Daon's biometric solutions. Working closely with research and engineering colleagues, your primary focus will be on improving and developing new biometric technologies that are delivered on time and aligned with our strategic objectives. You will report directly to the Principal Research Scientist. What You'll Do Working with the latest face biometric technologies, your responsibilities will include: Developing machine learning algorithms for face authentication solutions Researching, prototyping, and evaluating presentation attack detection and fraud prevention methods Testing and configuring face algorithms to meet performance and accuracy standards Extending and utilising existing biometric code libraries Running rigorous experiments, interpreting findings, and translating outcomes into deployable models and policies Helping to innovate and develop solutions to emerging face biometrics challenges Applying and continuously growing your expertise in AI, machine learning, and computer vision What you have Hands on experience in at least two of the areas listed below. A proven track record through project delivery, research contributions, or a minimum of two years of relevant employment experience: (1) Computer Vision & Deep Learning Strong grounding in computer vision and machine learning principles Proficiency with deep learning frameworks such as PyTorch or TensorFlow Solid understanding of detection, recognition, and classical CV pipelines Strong programming skills in Python and/or C++, including version control, testing, and debugging (2) Data & Experimental Methods Experience handling, preprocessing, and analysing large‑scale datasets Familiarity with synthetic data generation or weakly/lightly supervised learning approaches (3) Image Recognition & Matching Experience with authentication, identity matching, or metric learning Knowledge of feature extraction, alignment, and embedding‑based systems (4) Liveness & Anti‑Spoofing Exposure to presentation attack detection, including replay, mask, or deepfake scenarios Interest or experience in adversarial robustness and anti‑spoofing research Nice to have Ability to review, interpret, and implement state‑of‑the‑art research Comfortable using AI tools to accelerate workflow and productivity Awareness of privacy, ethics, and security considerations in biometrics Strong written and verbal communication skills in English Education Bachelor's, Master's, or PhD in Computer Science, Electrical Engineering, Mathematics, or a related field is preferred. What we offer An opportunity to work in the growing world of identity verification and authentication, biometrics, telephony, and fraud The chance to be part of an established & successful team of researchers and scientists Competitive compensation & benefits Flexible working environment to create a very balanced work/life schedule for you and your family Don't meet every requirement? Apply anyway. Drive and curiosity go a long way at Daon. Equal Opportunity Employer Statement Daon is an Equal Opportunity Employer and is committed to fostering an inclusive and diverse workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, or any other legally protected status. We celebrate diversity and are dedicated to creating an environment where all employees feel valued, respected, and supported. #J-18808-Ljbffr

Role Overview Are you a high-energy sales hunter with a proven track record in outbound prospecting? We are seeking a English‑Speaking Account Executive to join a globally recognized, fast‑growing tech company specializing in intelligent e‑commerce search solutions. In this role, you will own the entire sales pipeline for the American market while being based in Spain. This position is perfect for data‑driven sales professionals who thrive in a metric‑heavy environment and want to maximize their earning potential through an uncapped commission structure. Key Responsibilities Manage the full B2B sales cycle Handle account handover seamlessly to the Customer Experience team post‑sale. Maintain a high volume of activity, averaging 80–100 outbound calls per day, utilizing automated inbound leads assigned directly by the system. Hit and exceed clear sales KPIs, including call volume, product demos, trial‑to‑paid conversions, and Monthly Recurring Revenue (MRR) generation. Requirements & Profile Needed Location: Must already reside in Spain (this is a mandatory requirement, even when managing international markets). Languages: Native or bilingual fluency in English. Experience: 1–6 years of solid commercial experience (e.g., as a BDR, SDR, Inside Sales Representative, or in outbound prospecting/call centers). Skills: High comfort level with cold‑calling, resilience, a strong metrics/KPI orientation, and excellent closing skills. Flexibility: Availability aligned with US schedules/time zones is highly valued, particularly during the initial onboarding phase. Note: Pure Customer Success/Support profiles without outbound sales experience, career changers, or overqualified senior profiles will not be prioritized. Work Schedule & Hybrid Model Schedule: Monday to Thursday from 09:00 AM to 06:00 PM, and Fridays from 09:00 AM to 03:00 PM (Enjoy Friday afternoons off!). Work Model: 50% Hybrid flexibility. Onboarding & Travel: To set you up for success, the first 4 weeks are fully on‑site at our central office in Madrid for intensive training. Afterward, you can work remotely from within Spain, visiting the Madrid office approximately once a month. All travel and associated lodging expenses for these monthly visits are fully covered by the company. Note: To unlock the 50% hybrid remote model, you must meet a baseline percentage of your performance targets. Compensation, Perks & Progression We provide a highly lucrative financial framework designed to heavily reward top performers: Structured Salary Package: Composed of a competitive annual fixed base salary plus a highly rewarding uncapped variable commission structure. Performance Multipliers: Features an aggressive monthly accelerator system where hitting or exceeding your targets scales your commissions by standard multipliers (up to 3x your baseline commission). Quarterly Retroactive Bonus: If your average achievement across an entire quarter exceeds the top‑tier milestone, a retroactive 3x multiplier is applied to your commissions for that whole quarter. Structured Ramp‑Up: Enjoy a progressive target structure during your first few months, ensuring you adapt to the product before reaching full quota expectations. Internal Growth Path: Clear career progression tiers designed to systematically increase your fixed base salary as you move up from Account Executive level 2 to level 3. Corporate Perks: Permanent contract, 22 days of annual leave plus discretionary days off between Christmas and New Year's, flexible compensation/benefits, employee referral bonuses, office perks (fresh fruit, snacks, monthly team lunches), and regular sports/community activities. #J-18808-Ljbffr

About us: Qualitas Energy is a leading global investment and management platform with a dual focus on both funding and developing renewable energy, energy transition, and sustainable infrastructure. Since 2006, the Qualitas Energy team has dedicated over €14 billion to the energy transition worldwide. These investments have been deployed through six vehicles: Fotowatio / FRV, Vela Energy, Qualitas Energy III, Qualitas Energy IV, Qualitas Energy V, and Qualitas Energy Credit Fund. Qualitas Energy’s existing portfolio currently comprises 11 GW of operational and development-stage renewable energy assets – including solar PV, concentrated solar power (CSP), wind, energy storage, hydroelectric power, and renewable natural gas – across Spain, Germany, the United Kingdom, Italy, Poland, Chile, and the United States. Over the past five years, Qualitas Energy has generated enough energy to supply 1.7 million homes and has successfully avoided the emission of 1.5 million metric tons of CO2 equivalent. The Qualitas Energy team consists of more than 550 professionals across fifteen offices in Madrid, Berlin, London, Milan, Hamburg, Wiesbaden, Trier, Cologne, Stuttgart, Warsaw, Wroclaw, Santiago, Durham, Bristol, and Edinburgh. As part of this strategy, we are looking to hire an Investment Associate to join our Iberian Investment team in the Madrid office and actively contribute to the identification, analysis, execution and monitoring of investment opportunities in assets and platforms linked to the energy transition. Main responsibilities: • Participate in the analysis of new investment opportunities, including the review of markets, business models, assets, regulatory risks, key contracts and expected returns., • Prepare and review financial models, valuation analyses, business plans, sensitivity cases and investment scenarios to support decision-making by the senior team and investment committees., • Support the execution of transactions, including the coordination of due diligence processes, preparation of internal materials, interaction with external advisors and follow-up of financial, legal, technical and commercial documentation., • Monitor portfolio assets and platforms, including performance analysis, financial model updates, internal reporting and support for value creation initiatives., • Collaborate with internal development, financing, asset management, operations and energy management teams to assess opportunities and optimize investment performance Experience and requirements: • 3 years or more of experience in investment banking, private equity, infrastructure, M&A, project finance, corporate finance or strategy/transaction advisory, ideally with exposure to the energy or infrastructure sectors., • Strong analytical and financial modelling skills, including experience in valuation, returns analysis, financing structures and preparation of investment materials., • Full professional proficiency in English and Spanish, both written and spoken. Knowledge of Portuguese will be considered a plus., • Proactive and rigorous profile, with strong attention to detail, ability to work in teams and motivation to develop a career in renewable energy and energy transition investing. What Qualitas Energy offers: • Indefinite contract with a trial period of 6 months., • Immediate incorporation into headquarters in Madrid., • Salary based on the candidate's experience., • Health and dental insurance., • Continuous training., • Professional development., • Join the team of a leading firm in the renewable energy sector in Europe. We firmly believe that diversity and inclusion drive innovation and enhance collective performance. Therefore, we ensure recruitment and professional development processes based on objectivity, equal opportunities, and merit, guaranteeing that all individuals are valued for their skills and contributions, regardless of gender, age, sexual orientation or identity, culture, disability, or any other personal or social condition.

Job Description In the high-stakes world of military aviation, the AH Tiger stands as a masterclass in tactical agility. At Airbus Helicopters España, our Technical Data Engineers are far more than documentation writers - they are the Guardians of Safety and mission readiness. You will translate complex aerospace engineering modifications into precise, executable operational instructions, ensuring that when the fleet deploys, our crews have absolute digital continuity and the ultimate tactical edge. Your documentation is the final authority before a rotor turns. The Mission To manage, plan, and deliver high-quality Data Modules that drive the continuous evolution of Tiger Maintenance and Operation Publication revisions. Acting as a critical interface between the Design Office, external subcontractors, and global military operators, you will transform engineering modifications into reliable, fully compliant, and interactive electronic technical publications. Key Responsibilities & Success Metrics Core Execution (Data Module Lifecycle): Author, verify, and validate Tiger data modules for Interactive Electronic Technical Publications (IETM). Conduct rigorous impact analysis on engineering design inputs-including Modification Proposals, Technical Notes, and Directives-to map exact documentation changes. Technical Specifications: Ensure 100% compliance with strict ASD S1000D international specifications, Tiger Guidance Document guidelines, and Simplified Technical English (ASD-STE100) to eliminate any operational ambiguity in safety-critical procedures. Customer Support & Interface: Resolve complex operator queries and technical questions under tight timelines. Provide rapid documentation updates for critical fleet requests, mitigating operational bottlenecks and resolving production blocking points. Success Metric: Maintain an elite Right First Time (RFT) rate and achieve On-Time Delivery (OTD) targets across all assigned Work Packages, ensuring zero critical integration errors during the 6‑month revision cycle. Operational Challenge: Manage and orchestrate workflows with Logistic Service Providers and subcontractors, spearheading continuous improvement projects to drive transnational process harmonization. The Profile Education: At least 3-5 years of technical experience in aeronautical sector: especially in Aircraft Maintenance, ILS, Production Engineering, Airframes Design or experience with Warehouse, Procurement and other departments to optimize processes, Knowledge of Windchill and SAP. Tech Stack: Proficient in XML/SGML authoring tools (Arbortext Epic), illustration software (PTC Isodraw, Mondello), BFlow, ICN Toolbox, ADOC, and translation management systems (TRAD@S Studio). Experience with SAP and Windchill is mandatory. Domain Expertise: 3 to 5+ years of technical experience within the aeronautical sector (specifically in Aircraft Maintenance, ILS, or Airframe Design) with deep knowledge of workflows for SRM, AMM, and SDS manuals. Soft Skills: Exceptional analytical rigor with a problem‑welcoming mindset; proven capability to lead subcontractors towards operational excellence and collaborate across multicultural, transnational disciplines. Languages: Fluent in English (B2+ negotiation level) and Spanish is mandatory. Proficiency in French is highly desirable. Company: Airbus Helicopters España, SA Employment Type: Permanent Experience Level: Entry Level Job Family: Technical Data & Publications By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus. Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief. Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to emsom@airbus.com. At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking. #J-18808-Ljbffr

Role Overview Are you a high-energy sales hunter with a proven track record in outbound prospecting? We are seeking a Dutch-Speaking Account Executive to join a globally recognized, fast-growing tech company specializing in intelligent e-commerce search solutions. In this role, you will own the entire sales pipeline for the Dutch market while being based in Spain. This position is perfect for data-driven sales professionals who thrive in a metric-heavy environment and want to maximize their earning potential through an uncapped commission structure. Key Responsibilities Manage the full B2B sales cycle Handle account handover seamlessly to the Customer Experience team post-sale. Maintain a high volume of activity, averaging 80–100 outbound calls per day, utilizing automated inbound leads assigned directly by the system. Hit and exceed clear sales KPIs, including call volume, product demos, trial-to-paid conversions, and Monthly Recurring Revenue (MRR) generation. Requirements & Profile Needed Location: Must already reside in Spain (this is a mandatory requirement, even when managing international markets). Languages: Native or bilingual fluency in Dutch paired with a strong command of English . Experience: 1–6 years of solid commercial experience (e.g., as a BDR, SDR, Inside Sales Representative, or in outbound prospecting/call centers). Skills: High comfort level with cold-calling, resilience, a strong metrics/KPI orientation, and excellent closing skills. Flexibility: Availability aligned with US schedules/time zones is highly valued, particularly during the initial onboarding phase. Note: Pure Customer Success/Support profiles without outbound sales experience, career changers, or overqualified senior profiles will not be prioritized. Work Schedule & Hybrid Model Schedule: Monday to Thursday from 09:00 AM to 06:00 PM, and Fridays from 09:00 AM to 03:00 PM (Enjoy Friday afternoons off!). Work Model: 50% Hybrid flexibility. Onboarding & Travel: To set you up for success, the first 4 weeks are fully on-site at our central office in Madrid for intensive training. Afterward, you can work remotely from within Spain, visiting the Madrid office approximately once a month. All travel and associated lodging expenses for these monthly visits are fully covered by the company. Note: To unlock the 50% hybrid remote model, you must meet a baseline percentage of your performance targets. Compensation, Perks & Progression We provide a highly lucrative financial framework designed to heavily reward top performers: Structured Salary Package: Composed of a competitive annual fixed base salary plus a highly rewarding uncapped variable commission structure. Performance Multipliers: Features an aggressive monthly accelerator system where hitting or exceeding your targets scales your commissions by standard multipliers (up to 3x your baseline commission). Quarterly Retroactive Bonus: If your average achievement across an entire quarter exceeds the top-tier milestone, a retroactive 3x multiplier is applied to your commissions for that whole quarter. Structured Ramp-Up: Enjoy a progressive target structure during your first few months, ensuring you adapt to the product before reaching full quota expectations. Internal Growth Path: Clear career progression tiers designed to systematically increase your fixed base salary as you move up from Account Executive level 2 to level 3. Corporate Perks: Permanent contract, 22 days of annual leave plus discretionary days off between Christmas and New Year's, flexible compensation/benefits, employee referral bonuses, office perks (fresh fruit, snacks, monthly team lunches), and regular sports/community activities. #J-18808-Ljbffr

About Qualitas Energy: Qualitas Energy is a leading global investment and management platform with a dual focus on both funding and developing renewable energy, energy transition, and sustainable infrastructure. Since 2006, the Qualitas Energy team has dedicated over €14 billion to the energy transition worldwide. These investments have been deployed through six vehicles: Fotowatio / FRV, Vela Energy, Qualitas Energy III, Qualitas Energy IV, Qualitas Energy V, and Qualitas Energy Credit Fund. Qualitas Energy’s existing portfolio currently comprises 11 GW of operational and development-stage renewable energy assets – including solar PV, concentrated solar power (CSP), wind, energy storage, hydroelectric power, and renewable natural gas – across Spain, Germany, the United Kingdom, Italy, Poland, Chile, and the United States. Over the past five years, Qualitas Energy has generated enough energy to supply 1.7 million homes and has successfully avoided the emission of 1.5 million metric tons of CO2 equivalent. The Qualitas Energy team consists of more than 550 professionals across fifteen offices in Madrid, Berlin, London, Milan, Hamburg, Wiesbaden, Trier, Cologne, Stuttgart, Warsaw, Wroclaw, Santiago, Durham, Bristol, and Edinburgh. As part of this strategy, we are looking to hire a Technical/ Commercial Asset Manager in our PV AM department. Responsibilities and duties: • Monitor the performance of PV plants through SCADA systems and other monitoring tools, identifying anomalies and supporting the optimisation of energy production and asset availability., • Monitor and report key technical KPIs, including Availability, Performance Ratio (PR), energy losses and irradiation. Analyse deviations between budgeted and actual performance and propose appropriate mitigation measure., • Supervise O&M contractors and ensure compliance with contractual obligations, agreed service levels and performance targets., • Manage technical warranty claims with EPC contractors, O&M providers and equipment suppliers., • Support the management of relationships with regulatory bodies, grid operators and public authorities., • Ensure compliance with applicable grid code requirements, HSE standards, and local regulations., • Prepare, monitor and manage annual technical operating budgets, including Opex and Capex., • Manage key operational and commercial contracts, including O&M agreements, Asset Management agreements, insurance policies and grid connection agreements, and participate in or lead related negotiations., • Oversee compliance with PPA obligations and revenue-related agreements., • Support insurance claims arising from technical incidents, coordinating the necessary technical documentation and follow-up., • Prepare technical and asset performance reports for internal management, investors, lenders and other relevant stakeholders., • Support asset acquisitions, technical due diligence processes and the onboarding and integration of new projects into the portfolio., • Contribute to the continuous improvement of internal Asset Management processes, tools, reporting standards and methodologies, with the objective of optimising asset performance and operational efficiency. Experience and requirements: • Bachelor’s or Master’s degree in Engineering, preferably Energy, Electrical, Mechanical, Industrial Engineering or a related field., • 1–3 years of professional experience in Asset Management, O&M, technical advisory or a similar role within the renewable energy sector., • Good understanding of renewable energy assets, preferably utility-scale solar PV., • Strong analytical skills and ability to interpret technical and financial performance data., • Advanced knowledge of Microsoft Office tools, particularly Excel, PowerPoint and Word., • Good command of English, both written and spoken., • Proactive, analytical and solution-oriented mindset, with a strong sense of ownership. Strong organisational skills. Qualitas Energy offers: • The opportunity to join a leading team in the global renewable energy sector., • A permanent contract., • A competitive salary based on the candidate’s qualifications., • Health and dental insurance., • A company pension plan., • Ongoing training and professional development. We firmly believe that diversity and inclusion drive innovation and enhance collective performance. Therefore, we ensure recruitment and professional development processes based on objectivity, equal opportunities, and merit, guaranteeing that all individuals are valued for their skills and contributions, regardless of gender, age, sexual orientation or identity, culture, disability, or any other personal or social condition.

About our Crew Click&Boat is a rental platform product of Boats Group, the fastest-growing digital business in the recreational boating space. We are a talented team of techies, creatives, marketers, closers and customer advocates who spend each day pushing the boundaries of technology to make buying, selling & renting boats easy. We spend each day surrounded by 500,000 boats from across the globe! Click&Boat is the European leader in boat rentals. Our marketplace makes boating accessible around the world, from a day trip to a week-long adventure, while enabling private and professional boat owners to generate additional income through rentals. The role We’re looking for a Staff Product Manager with the mindset of a CMO — and a tech team to turn that thinking into product. You’ll work closely with experts across SEO, SEA, Brand and Acquisition, while building your own point of view on how search, discovery and traffic are changing, especially with the rise of AI and LLMs. Your job is to figure out where tomorrow’s traffic will come from, which bets are worth making, and where we should invest. Unlike a traditional marketing role, you’ll have engineers to turn those bets into products, tools, automations and experiments. What floats your boat Build a point of view You develop strong convictions on how search, AI and acquisition are evolving — and where Click&Boat should place its bets. Challenge & connect the experts You work with SEO, SEA, Brand and Acquisition experts, challenge assumptions and turn different perspectives into a clear strategy. Turn strategy into product You use data and experimentation to identify opportunities, then work with Engineering to turn them into products, tools and scalable solutions. Think beyond traffic You connect acquisition to the full journey — from discovery to conversion and revenue. What you bring aboard You are fluent in English. You are both strategic and hands-on : capable of defining an acquisition strategy and long-term roadmap, while still going deep into a funnel, landing page, traffic source, experiment or metric when needed. You have a strong technical understanding of web acquisition : comfortable discussing topics such as technical SEO, site architecture, indexing, page performance… Bonus point (great to have, never a dealbreaker) Previous experience as Head of/VP Growth, CMO, or equivalent in a digital / tech company is a strong plus. The hiring journey HR call with Talent Acquisition, Interview with the Product team, Management interview with a case study to assess your skills and alignment with our values with our VP product and CPTO. Final call with Christian, our Managing Director, to wrap up the process. What awaits you on board 8 additional days off; Lunch vouchers (Cobee); Gym partnerships (Wellhub); PNB Boat licence offered and exclusive discounts on your next boat trips; Breakfast every Tuesday morning; A welcoming office in Barcelona, next to the centrally located Cathedral and just a 20-minute walk from the sea; Team-building activities. Hybrid role based in Barcelona, with 3 days per month spent in Paris — around 6 to 9 trips per year. Contract: Permanent position Start date: ASAP A competitive salary starting from €100K. Ready to join? At Click&Boat, every application is reviewed with equal care and attention, regardless of age, gender, origin, disability, religion, sexual orientation, or any other characteristic. We hire for talent, drive, and mindset. The sea is open to all. #J-18808-Ljbffr

About seQura seQura provides innovative, flexible and easy-to-use payment technologies that help merchants acquire, convert and retain more customers. We make a difference in sales performance by tailoring our solutions to different sectors, to address their unique pain points and deliver superior results in Retail, Education, Eyewear, Repairs and Travel. We also empower smart shopping to consumers who seek more value, convenience, and flexibility in their shopping, with new payment experiences that allow them to save, access interest-free credit, or pay in small, comfortable installments of up to 24 months. Born in Barcelona, seQura is a privately-owned fintech, currently expanding throughout southern Europe and Latin America, growing above 50% CAGR. Over 6000 businesses, almost 3 million shoppers, and almost 400 employees continue to rate us as one of the most loved and trusted fintechs out there, with an NPS of 87%, a Trustpilot rating of 4.7/5, and a Glassdoor rating of 4.1/5. About the role Data trust is becoming one of the most important challenges in the era of AI analytics. Self-service analytics has always required strong foundations. Now, with the rise of LLMs and AI agents, the opportunity is bigger, but so is the risk. Pointing an AI assistant at a warehouse can create a false sense of precision if the underlying data model, definitions, documentation and ownership are not clear. As a Data & AI Governance Specialist at seQura, you will help build the foundations that allow teams to find, trust, understand and apply data and AI safely, autonomously and responsibly. You will work at the intersection of business, data, AI, legal, privacy and security teams, translating complex requirements into clear workflows, usable standards and technical solutions. What challenges you'll be solving Collaborate with domain stewards and analysts to maintain a unified data dictionary, clear business metric definitions and AI model documentation. Partner with Core Data, Data Science & AI, Business and Engineering teams to implement automated data quality checks across pipelines, health and performance monitoring dashboards/alerts. Manage and improve the data catalog, AI model inventory and model registry so assets are organized, searchable, well documented and easy to understand. Help Data Champions and AI Owners succeed by giving them clear templates, training, tooling and documentation rather than relying on manual approval gates. Act as the operational bridge between Legal, Privacy, Security and Data & AI teams to support GDPR, SOC 2 and EU AI Act readiness. Champion a culture where quality and responsible AI are collective responsibilities, supported by automation, ownership and practical enablement. About the Data team Team mission To amplify seQura's value by enabling anyone to autonomously find, trust, understand and apply data and AI to make smarter decisions. What we own You will join the Data & AI Governance vertical, working closely with the Data Governance Lead, the wider Data & AI team and business stakeholders across seQura. This team owns the foundations that make self-service analytics and responsible AI possible: metadata, documentation, ownership, quality standards, lineage, data and model discoverability, access governance and AI risk workflows. How we work Data is treated as a product , with clear ownership, quality standards, and consumers. Governance acts as an enablement layer , rather than a blocker. Self-service systems are prioritized over manual approval processes. Close collaboration with domain experts helps turn business knowledge into reusable, trusted data assets. What to expect in the next 90 days Month 1 You will onboard into seQura's Data & AI organization, understand how our data model, access groups and governance practices work today, and start researching the semantic layer foundations needed to support reliable AI-assisted analytics. Month 2 You will start working on metadata and ontology graph initiatives, helping connect business concepts to the right data entities, definitions and ownership structures. Month 3 You will contribute to warehouse optimization and access marketplace initiatives, helping make governed data assets easier to discover, request, use and maintain across teams. Tech stack & environment You will work with tools and systems that support data cataloging, metadata management, self-service analytics, data quality, access governance and documentation. What you'll need Must have: Ability to translate business, legal or privacy requirements into practical solutions with technical teams. 2 to 5 years of hands-on experience in any of these areas: Data Governance, Data Quality Engineering, Analytics Engineering, AI Operations or a related area. Experience working with data teams to implement policies, standards or governance practices in real systems. Experience operating modern data catalog, metadata or documentation tools. Strong communication skills across business stakeholders, technical data teams and legal or privacy teams. Strong analytical ability to trace data quality issues back through pipelines, models or workflows and support root-cause resolution. A self-service mindset: you prefer clear standards, automation and enablement over manual approval gates. Nice to have: Practical understanding of AI and ML lifecycles. Experience with Generative AI application patterns. Understanding of AI cataloging, model inventories or model registries. Familiarity with AI bias detection or mitigation practices. Working knowledge of foundational AI privacy and regulatory requirements, including the EU AI Act. Experience with OpenMetadata, Metabase, Omni, Redshift, Claude #J-18808-Ljbffr

Role Overview Are you a high-energy sales hunter with a proven track record in outbound prospecting? We are seeking a Polish-Speaking Account Executive to join a globally recognized, fast-growing tech company specializing in intelligent e-commerce search solutions. In this role, you will own the entire sales pipeline for the Pilish market while being based in Spain. This position is perfect for data-driven sales professionals who thrive in a metric-heavy environment and want to maximize their earning potential through an uncapped commission structure. Key Responsibilities Manage the full B2B sales cycle Handle account handover seamlessly to the Customer Experience team post-sale. Maintain a high volume of activity, averaging 80–100 outbound calls per day, utilizing automated inbound leads assigned directly by the system. Hit and exceed clear sales KPIs, including call volume, product demos, trial-to-paid conversions, and Monthly Recurring Revenue (MRR) generation. Requirements & Profile Needed Location: Must already reside in Spain (this is a mandatory requirement, even when managing international markets). Languages: Native or bilingual fluency in Polish plus advanced English. Experience: 1–6 years of solid commercial experience (e.g., as a BDR, SDR, Inside Sales Representative, or in outbound prospecting/call centers). Skills: High comfort level with cold-calling, resilience, a strong metrics/KPI orientation, and excellent closing skills. Flexibility: Availability aligned with US schedules/time zones is highly valued, particularly during the initial onboarding phase. Note: Pure Customer Success/Support profiles without outbound sales experience, career changers, or overqualified senior profiles will not be prioritized. Work Schedule & Hybrid Model Schedule: Monday to Thursday from 09:00 AM to 06:00 PM, and Fridays from 09:00 AM to 03:00 PM (Enjoy Friday afternoons off!). Work Model: 50% Hybrid flexibility. Onboarding & Travel: To set you up for success, the first 4 weeks are fully on-site at our central office in Madrid for intensive training. Afterward, you can work remotely from within Spain, visiting the Madrid office approximately once a month. All travel and associated lodging expenses for these monthly visits are fully covered by the company. Note: To unlock the 50% hybrid remote model, you must meet a baseline percentage of your performance targets. Compensation, Perks & Progression We provide a highly lucrative financial framework designed to heavily reward top performers: Structured Salary Package: Composed of a competitive annual fixed base salary plus a highly rewarding uncapped variable commission structure. Performance Multipliers: Features an aggressive monthly accelerator system where hitting or exceeding your targets scales your commissions by standard multipliers (up to 3x your baseline commission). Quarterly Retroactive Bonus: If your average achievement across an entire quarter exceeds the top-tier milestone, a retroactive 3x multiplier is applied to your commissions for that whole quarter. Structured Ramp-Up: Enjoy a progressive target structure during your first few months, ensuring you adapt to the product before reaching full quota expectations. Internal Growth Path: Clear career progression tiers designed to systematically increase your fixed base salary as you move up from Account Executive level 2 to level 3. Corporate Perks: Permanent contract, 22 days of annual leave plus discretionary days off between Christmas and New Year's, flexible compensation/benefits, employee referral bonuses, office perks (fresh fruit, snacks, monthly team lunches), and regular sports/community activities. #J-18808-Ljbffr

Senior Machine Learning Engineer, Developer Advocacy | Spain | Remote Spain (Remote) Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers – including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce – trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we’re backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X. We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a fully remote position and we're considering candidates in Spain. Opportunity Grafana Labs is building an Interactive Learning system, an open source, in-product learning experience that helps users learn and succeed without leaving Grafana. A central part of that vision is a personalized recommendation system that helps each user discover the next guide, action, or product experience most likely to help them succeed. Today, the Interactive Learning tool includes a rule-based recommendation engine that provides useful contextual recommendations. We are hiring an ML Engineer to lead its evolution into an increasingly personalized, continuously improving system driven by real-time product behavior, content metadata, customer context, and experimentation. This is an applied product data science role. You will personally build, deploy, and operate recommendation models, design experiments, establish evaluation methodology, and define the scientific roadmap. You will partner closely with software engineers who own the production recommender codebase and with an existing Data Analyst who supports measurement, instrumentation, and analysis across Developer Advocacy. Responsibilities Evolve the Interactive Learning Plugin's recommendation system Develop increasingly personalized approaches to candidate selection, ranking, sequencing, and next-best-action recommendations. You’ll own a real-time recommendation service Build and operate applied models Develop, validate, version, monitor, and iterate on models used by the recommendation system. You’ll own model training & serving Define what recommendation quality means Develop offline, online, and longitudinal measures of recommendation performance. You’ll own feature pipelines, monitoring of the model and architecture Ship incremental improvements Use the data and infrastructure available today while identifying the instrumentation and platform capabilities needed tomorrow. Integrate improvements into the existing recommender rather than waiting for a complete replacement system. Work closely with software engineers & data analysts to productionize models and integrate them safely into the recommender service. Partner with the Product Analytics team on metric definitions, instrumentation, data quality, dashboards, and experiment analysis. Collaborate with Developer Advocacy, Docs, Product, Engineering, GTM, and other teams to translate ambiguous needs into testable hypotheses and measurable product decisions. Explain modeling choices, tradeoffs, uncertainty, and results clearly to both technical and non-technical audiences. Qualifications We know it is rare to find everything. Strong candidates should demonstrate credible ability across all three core areas below and be particularly strong in at least two. Recommendation and personalization science : you have built recommendation, ranking, search, matching, propensity, or next-best-action systems. You are comfortable beginning with simple, explainable approaches when they are the best way to learn. Applied model ownership . You have personally built, validated, monitored, and iterated on models used in a product or operational environment. You can work effectively in version-controlled codebases and collaborate with engineers on production implementation. You should also be a strong product thinker and technical communicator. You can take an ambitious and ambiguous objective, identify the most important unknowns, and create a sequence of models and experiments that steadily improves the product. Bonus Points Experience with content, education, onboarding, or learning recommendation systems Experience with SaaS product telemetry and customer-account data Experience using warehouse-scale behavioral data Experience with directed graphs, sequence models, or prerequisite-aware recommendations Experience with contextual bandits or other exploration strategies Familiarity with Grafana or the broader observability ecosystem Experience with open source software or transparent development practices Experience working with privacy, fairness, explainability, or responsible personalization constraints Compensation & Rewards In Spain, the base compensation range for this role is EUR 82,988 - EUR 99,586. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs 100% Remote, Global Culture – As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key – We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. #J-18808-Ljbffr

We are LETMINO , the tech company behind the continuous learning platform that integrates into your work environment and daily activities. We help professionals make better use of their time by selecting and contextualizing content, providing precise answers at the exact moment learning needs arise. We turn available time in people's schedules into immediately applicable knowledge, driving talent development at each organization's own pace. Our culture is built around five values: Bold & Unafraid, Ever-Evolving, Fluid, Tech for Humans, and Radical & Real. In practice, this means something quite simple: daring to speak up and propose new ideas, continuously learning, simplifying, using technology with purpose, and speaking openly to build better solutions together. ¿Do you want to join the Team? We are looking for a Head of BI & Data Engineering to lead our data strategy, infrastructure, and analytics team. This role will design the organizational data roadmap, ensuring that our data architecture is scalable, our metrics are consistent, and our insights actively drive high-level executive decision-making What you will do at LETMINO: Lead, mentor, and manage a team of data analysts and data engineers, fostering a culture of continuous learning, high performance, and technical excellence. Executive Decision Support: Translate complex data structures into high-impact executive reports and insights to influence strategic business decisions and area-level roadmaps. Data Governance & Metric Consistency: Establish and oversee data governance frameworks to guarantee absolute consistency, integrity, and alignment of key business metrics across the entire organization. Data pipelines, Architecture & Efficiency Frameworks: Define, optimize, and enforce scalable frameworks for data efficiency, storage, and infrastructure-as-code across our data pipelines. Advanced Data Engineering Supervision: Oversee the design, orchestration, and documentation of advanced ETL/ELT pipelines and data models within AWS and Google Cloud environments. Cross-functional Collaboration: Partner with Business, Product, and Engineering leaders to align data infrastructure with product features, platform KPIs, and strategic business goals. Requirements : Solid experience (6+ years) in Data Analytics and Data Engineering, with at least 2-3 years leading and managing data teams in fast-paced or SaaS environments. Strategic & Analytical Vision: Strong ability to connect data initiatives with business outcomes, building analytical frameworks that drive organizational efficiency. Technical Background: Deep understanding of data architecture, infrastructure-as-code, and pipeline optimization. Advanced knowledge of SQL and Python. Hand-on work will be required. Cloud & ETL Expertise: Solid experience overseeing ETL/ELT processes and data warehousing in cloud environments, specifically AWS and/or Google Cloud. Advanced skills in data storytelling and communicating technical concepts, data insights, and findings clearly to C-level executives and non-technical stakeholders. Fluent in English (oral and written). Based in Madrid or nearby, as the position follows a semi-remote model with regular in-office collaboration. Nice to have: Experience setting and scaling data and engineering standards from scratch within an EdTech or B2B SaaS company. Familiarity with modern data stacks, and advanced data security compliance. Proactive mindset for process automation and continuous optimization of cloud costs. Fluent in Portuguese will be a plus Why LETMINO? Working at LETMINO is about being part of a lifelong learning culture, where everyone has the possibility to take on challenges and participate in the growth of the company. But we also offer: Be part of an international, creative and ambitious environment, where every person has a real impact and actively contributes to the company's growth. Unlimited learning with LETMINOFY, our own learning platform with over 3 million pieces of content in all formats (books, audiobooks, videos, courses, movies and learning experiences). A flexible work model with remote options, allowing you to organize your schedule in a way that truly works for you. Work 100% remotely during July and August with shorter summer hours (8:00 -- 15:00) for a better work-life balance. Your birthday off, so you can celebrate it your way. Flexible compensation plans, tailored to your needs: meals, transportation, childcare, training and private health insurance. Access to an emotional wellbeing app, with professional support to take care of your mental health. Continuous professional growth, with real internal development opportunities and ongoing learning. Team, culture and wellness events, including sports activities, to connect, collaborate and celebrate achievements together. ...And more! Sounds like a mission made for you? Then we need to talk! LETMINO is an entity committed to Diversity and Inclusion, which is why it accepts the presentation of candidatures without bias. #J-18808-Ljbffr

Role Overview Are you a high-energy sales hunter with a proven track record in outbound prospecting? We are seeking a German-Speaking Account Executive to join a globally recognized, fast-growing tech company specializing in intelligent e-commerce search solutions. In this role, you will own the entire sales pipeline for the German market while being based in Spain. This position is perfect for data-driven sales professionals who thrive in a metric-heavy environment and want to maximize their earning potential through an uncapped commission structure. Key Responsibilities Manage the full B2B sales cycle Handle account handover seamlessly to the Customer Experience team post-sale. Maintain a high volume of activity, averaging 80-100 outbound calls per day, utilizing automated inbound leads assigned directly by the system. Hit and exceed clear sales KPIs, including call volume, product demos, trial-to-paid conversions, and Monthly Recurring Revenue (MRR) generation. Requirements & Profile Needed Location: Must already reside in Spain (this is a mandatory requirement, even when managing international markets). Languages: Native or bilingual fluency in German paired with a strong command of English . Experience: 1-6 years of solid commercial experience (e.g., as a BDR, SDR, Inside Sales Representative, or in outbound prospecting/call centers). Skills: High comfort level with cold-calling, resilience, a strong metrics/KPI orientation, and excellent closing skills. Flexibility: Availability aligned with US schedules/time zones is highly valued, particularly during the initial onboarding phase. Note: Pure Customer Success/Support profiles without outbound sales experience, career changers, or overqualified senior profiles will not be prioritized. Work Schedule & Hybrid Model Schedule: Monday to Thursday from 09:00 AM to 06:00 PM, and Fridays from 09:00 AM to 03:00 PM (Enjoy Friday afternoons off!). Work Model: 50% Hybrid flexibility. Onboarding & Travel: To set you up for success, the first 4 weeks are fully on-site at our central office in Madrid for intensive training. Afterward, you can work remotely from within Spain, visiting the Madrid office approximately once a month. All travel and associated lodging expenses for these monthly visits are fully covered by the company. Note: To unlock the 50% hybrid remote model, you must meet a baseline percentage of your performance targets. Compensation, Perks & Progression We provide a highly lucrative financial framework designed to heavily reward top performers: Structured Salary Package: Composed of a competitive annual fixed base salary plus a highly rewarding uncapped variable commission structure. Performance Multipliers: Features an aggressive monthly accelerator system where hitting or exceeding your targets scales your commissions by standard multipliers (up to 3x your baseline commission). Quarterly Retroactive Bonus: If your average achievement across an entire quarter exceeds the top-tier milestone, a retroactive 3x multiplier is applied to your commissions for that whole quarter. Structured Ramp-Up: Enjoy a progressive target structure during your first few months, ensuring you adapt to the product before reaching full quota expectations. Internal Growth Path: Clear career progression tiers designed to systematically increase your fixed base salary as you move up from Account Executive level 2 to level 3. Corporate Perks: Permanent contract, 22 days of annual leave plus discretionary days off between Christmas and New Year's, flexible compensation/benefits, employee referral bonuses, office perks (fresh fruit, snacks, monthly team lunches), and regular sports/community activities. #J-18808-Ljbffr

About Revolut People deserve more from their money. More visibility, more control, and more freedom. Since 2015, Revolut has been on a mission to deliver just that. Our powerhouse of products — including spending, saving, investing, exchanging, travelling, and more — help our 75+ million customers get more from their money every day. As we continue our lightning-fast growth, 2 things are essential to our success: our people and our culture. In recognition of our outstanding employee experience, we've been certified as a Great Place to Work™. So far, we have 13,000+ people working around the world, from our offices and remotely, to help us achieve our mission. And we're looking for more brilliant people. People who love building great products, redefining success, and turning the complexity of a chaotic world into the simplicity of a beautiful solution. About the role Our Sales team powers customer growth around the world. From prospecting to acquisition and activation, they own their market segments, solve complex problems, and help more customers discover the value of Revolut with a sharp, solution-oriented approach. We're looking for a Sales Enablement Operations Manager to sit at the intersection of strategy, data, and execution. You'll be building systems and optimising processes that allow our sales force to reach peak performance. You'll use data to analyse trends and identify performance gaps to design technical, scalable solutions. Up to shape what's next in finance? Let's get in touch. What you’ll be doing Structuring and running rigorous pilots to test new operational models, sales methodologies, or tools within specific segments to determine what works before scaling globally Designing and optimising scalable sales workflows to ensure our Sales teams move with maximum speed and minimal friction Analysing sales performance data to identify bottlenecks in the funnel, and implementing operational fixes through process, tooling, or training Transforming the onboarding programme from a simple training track into a high-impact, metric-driven system that reduces time to productivity for new hires Developing KPIs and dashboards to measure the direct ROI of enablement initiatives on sales velocity and conversion What you'll need 5+ years of relevant experience 3+ years of experience in operations Experience with B2B sales, sales enablement, and the development and implementation of enablement programmes A bias for action and speed Expertise in building, implementing, and improving processes and operations as business scales The ability to break complex problems into smaller ones Natural curiosity and a will to make an impact Fluency in English with excellent communication skills Compensation range Krakow: PLN10,700 - PLN21,700 gross monthly* Poland: PLN10,700 - PLN21,700 gross monthly* Other locations: Compensation will be discussed during the interview process *Final compensation will be determined based on the candidate's qualifications, skills, and previous experience Building a global financial super app isn’t enough. Our Revoluters are a priority, and that’s why in 2021 we launched our inaugural D&I Framework, designed to help us thrive and grow everyday. We’re not just doing this because it’s the right thing to do. We’re doing it because we know that seeking out diverse talent and creating an inclusive workplace is the way to create exceptional, innovative products and services for our customers. That’s why we encourage applications from people with diverse backgrounds and experiences to join this multicultural, hard-working team. Get what you need to succeed Financial benefits that show we value your work Flexibility to work from home, the office, or abroad A Revolut Metal subscription loaded with perks Exciting events year-round so you can get to know your team #J-18808-Ljbffr

Who We Are: Power Digital is an AI-Native Growth Firm built at the intersection of world-class talent and proprietary technology. We help leading and emerging brands grow by combining deep vertical expertise, strategic thinking, and enterprise intelligence to drive measurable business outcomes. For more than a decade, we have built our business around one belief: the best technology makes great people better. Our teams of strategists, creatives, analysts, and technologists use Omega, our AI operating system, to surface opportunities faster, investigate what is driving performance, and execute approved work with greater speed and precision. Behind Omega is Iris, our proprietary intelligence layer, built on years of real performance data, strategic frameworks, testing, and learnings from across our client portfolio. AI expands the capacity of our people to think, create, solve harder problems, and make better decisions. Human judgment, creativity, and accountability remain central to how we work. As a people-first firm, we value diversity in backgrounds and experiences. We strongly believe our people and culture are key to our success. We partner closely with our clients as an extension of their teams, working across strategy, execution, and measurement to identify what is truly blocking growth and determine what to do next. Our culture is built on people who are curious, ambitious, accountable, and committed to delivering meaningful results for our clients and for one another. At Power Digital, we believe the future belongs to teams that combine the best talent with the best technology. We are building that future today. *Proficiency in spoken and written English at an advanced level is required for this role. A day in the life: You’ll sit on the Data Team, which owns the core data foundation for Power Digital: the pipelines, modeling, and data marts that power our agency teams, clients, and AI initiatives. You’ll work end to end, from raw ingestion through the semantic layer, using AI-agentic workflows as a normal part of how you build. The data itself is the interesting part. Marketing data is fragmented by default. Every ad platform has its own API, its own schema, and its own definition of a conversion. Platforms restate attributed conversions days after the fact, each in a different way. Entity hierarchies don’t match (campaign/ad set/ad on Meta, campaign/ad group/ad on Google). Naming conventions, currencies, and timezones vary by client. We do this across a large client portfolio, each client with a different stack, in a warehouse with per-client tenancy. You’ll work closely with Client Service, BI, Tagging & Tracking, Data Ops, and the nova product/engineering teams. Key Responsibilities: Design, build, and maintain the core data foundation (ingestion, modeling, and data marts), owning the workflow from raw platform data through the serving layers that support agency, client, internal, and AI consumers. Build ingestion that handles what ad platforms actually do: API changes, deprecated fields, aggressive rate limits, and retroactive restatement of conversion data, all without corrupting downstream models. Model across sources so the numbers reconcile: spend, impressions, conversions, and revenue across Meta, Google, TikTok, Amazon, LinkedIn, and Microsoft, plus customer-level joins across Shopify, Klaviyo, GA4, and client CRMs. Contribute to client-bespoke modeling on top of the core layer: custom logic, overrides, and client-specific marts built in response to individual client requests, with patterns that extend the shared foundation rather than fork it. This is steady, recurring work, not an occasional exception. Build the semantic layers and metric definitions that let AI-generated SQL return consistent, correct answers. Use AI-agentic workflows, including AI coding tools, to accelerate development and build intelligent data infrastructure. Document what works so it becomes a standard team pattern. Collaborate cross-functionally with nova (product and engineering), AI/innovation, and client teams to translate requirements into data solutions and support rapid iteration on new products and features. Monitor and resolve data quality issues, and optimize pipelines for cost and performance across a multi-client warehouse. Role Requirements: 3+ years in data or analytics engineering, including 1+ years owning a dbt project of meaningful size in production, not just contributing models to one. Advanced proficiency in Python and SQL, with a focus on production-grade code for data pipelines and modeling. Deep expertise in dbt, not just writing models. Incremental strategies and full-refresh tradeoffs, Jinja and macros, packages, generic and singular tests, snapshots, source freshness, exposures, and how to keep a large project's DAG and materializations under control. Strong command of Snowflake and the surrounding cloud data stack to operate autonomously as a foundational data owner. Experience modeling in a multi-tenant environment, with the judgment to know when a client request belongs in a client layer and when it belongs in the core. Working knowledge of marketing and advertising datasets. You’ve handled UTMs, attribution windows, and the gap between platform-reported and warehouse-reported conversions. Proven experience designing and managing end-to-end data lifecycles from ingestion to serving, with reliability that holds for both BI and AI applications. Familiarity with cloud-native infrastructure (GCP) and infrastructure-as-code principles. Real adoption of AI-agentic development workflows (Cursor, Claude Code, GitHub Copilot) for coding, debugging, and system architecture. Demonstrated ability to architect AI-ready data models (feature stores, clean semantic layers) that support downstream initiatives. Experience with Git and CI/CD best practices, including automated testing you trust. Comfortable shipping iteratively and refining data products based on live feedback. Helpful but not required Agency, consultancy, or services experience. Working across many clients with different stacks transfers directly. Measurement work: incrementality, media mix modeling, attribution. Server-side tagging, or retail and marketplace data. You might be a fit if… You’re a data engineer at a brand or retailer and want to work closer to the decisions your data drives. You’ve built marketing pipelines at an agency or martech company and know how they break. You’re an analytics engineer who wants to own the full system rather than just the modeling layer. You’ve rebuilt your own workflow around AI coding agents and want that to be the job. Key Performance Indicators (KPIs) AI-accelerated development. Reduce median development time from approved requirements to production deployment for new data pipeline and modeling requests by 20% within the first 6 months, using the team's established baseline for comparable requests. Document and productionize at least 1 reusable AI-agentic development pattern within the first 90 days and at least 2 within the first 12 months, with each pattern adopted in at least 2 production workflows or projects. Data quality and reliability. Maintain ≥99% accuracy and completeness across fields designated as critical for client-facing and AI-facing data products, measured through automated data quality tests and reconciliations. Maintain a ≥95% successful scheduled pipeline execution rate for owned production pipelines, excluding documented upstream vendor/platform outages. Client request throughput. Deliver ≥90% of assigned client-bespoke modeling requests within the agreed-upon turnaround time, measured quarterly. Where a bespoke request introduces logic applicable across clients, evaluate and document whether it belongs in the shared core or client-specific layer for 100% of material modeling changes. Cross-functional enablement. Launch or materially migrate at least 2 major production data assets within the first 12 months that support agency, client, product, or AI consumers. Within 90 days of each launch, demonstrate adoption through at least 2 active downstream consumers, applications, or teams per asset and achieve either a 20% reduction in related recurring data-support tickets or another pre-defined adoption/efficiency target agreed upon before launch. Most Important Things (MITs) Build and ship end-to-end data systems that enable AI features. Deliver production-ready datasets and pipelines that unblock AI, product, and client teams. Reduce fragmentation by building unified, AI-ready data foundations Power Digital’s people and culture are at the core of our success, which is why diversity in our team’s backgrounds and experiences are paramount. We are an Equal Opportunity Employer and our employees are people with different strengths, experiences, and backgrounds, who strive to make an impact inside and outside of the workplace. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion and many other parts of one’s identity. All of our employees' points of view are key to our success, and inclusion is everyone's responsibility. #J-18808-Ljbffr

Role Overview Are you a high-energy sales hunter with a proven track record in outbound prospecting? We are seeking a English-Speaking Account Executive to join a globally recognized, fast-growing tech company specializing in intelligent e-commerce search solutions. In this role, you will own the entire sales pipeline for the American market while being based in Spain. This position is perfect for data-driven sales professionals who thrive in a metric-heavy environment and want to maximize their earning potential through an uncapped commission structure. Key Responsibilities Manage the full B2B sales cycle Handle account handover seamlessly to the Customer Experience team post-sale. Maintain a high volume of activity, averaging 80–100 outbound calls per day, utilizing automated inbound leads assigned directly by the system. Hit and exceed clear sales KPIs, including call volume, product demos, trial-to-paid conversions, and Monthly Recurring Revenue (MRR) generation. Requirements & Profile Needed Location: Must already reside in Spain (this is a mandatory requirement, even when managing international markets). Languages: Native or bilingual fluency in English. Experience: 1–6 years of solid commercial experience (e.g., as a BDR, SDR, Inside Sales Representative, or in outbound prospecting/call centers). Skills: High comfort level with cold-calling, resilience, a strong metrics/KPI orientation, and excellent closing skills. Flexibility: Availability aligned with US schedules/time zones is highly valued, particularly during the initial onboarding phase. Note: Pure Customer Success/Support profiles without outbound sales experience, career changers, or overqualified senior profiles will not be prioritized. Work Schedule & Hybrid Model Schedule: Monday to Thursday from 09:00 AM to 06:00 PM, and Fridays from 09:00 AM to 03:00 PM (Enjoy Friday afternoons off!). Work Model: 50% Hybrid flexibility. Onboarding & Travel: To set you up for success, the first 4 weeks are fully on-site at our central office in Madrid for intensive training. Afterward, you can work remotely from within Spain, visiting the Madrid office approximately once a month. All travel and associated lodging expenses for these monthly visits are fully covered by the company. Note: To unlock the 50% hybrid remote model, you must meet a baseline percentage of your performance targets. Compensation, Perks & Progression We provide a highly lucrative financial framework designed to heavily reward top performers: Structured Salary Package: Composed of a competitive annual fixed base salary plus a highly rewarding uncapped variable commission structure. Performance Multipliers: Features an aggressive monthly accelerator system where hitting or exceeding your targets scales your commissions by standard multipliers (up to 3x your baseline commission). Quarterly Retroactive Bonus: If your average achievement across an entire quarter exceeds the top-tier milestone, a retroactive 3x multiplier is applied to your commissions for that whole quarter. Structured Ramp-Up: Enjoy a progressive target structure during your first few months, ensuring you adapt to the product before reaching full quota expectations. Internal Growth Path: Clear career progression tiers designed to systematically increase your fixed base salary as you move up from Account Executive level 2 to level 3. Corporate Perks: Permanent contract, 22 days of annual leave plus discretionary days off between Christmas and New Year's, flexible compensation/benefits, employee referral bonuses, office perks (fresh fruit, snacks, monthly team lunches), and regular sports/community activities. #J-18808-Ljbffr

Join the application process for the Analytics Engineer role at Spendesk . Transform data into business impact Spendesk is seeking a skilled Analytics Engineer to join our growing data organization. Reporting to the Head of Data, you will be responsible for transforming raw data into business-ready datasets, building dimensional models, and enabling self‑service analytics across the organization. About the role As an Analytics Engineer, you will bridge the gap between data engineering and data analysis/business teams by creating clean, documented, and reusable analytics assets. You’ll work closely with Data Engineers, Data Scientists, and business stakeholders to implement data quality testing, build dimensional models, and enable data‑driven decision making throughout Spendesk. This role requires an engineer who can translate business requirements into robust data models, apply best practices for data transformation, and create analytics solutions that scale with our business growth. Our tech environment dbt (core and Cloud) Snowflake Looker (original), Metabase, and Amplitude for product analytics Airbyte (cloud), Fivetran, Airflow, Hightouch, Segment for ingestion/exposure GitHub for versioning, CI/CD, and Synq for observability Key Responsibilities Transform raw data into business‑ready datasets using dbt and modern data stack tools. Build and maintain dimensional models that serve BI and product needs. Implement business logic and calculations in the data transformation layer. Create reusable analytics assets that can be leveraged across multiple use cases. Ensure data models follow best practices for performance, maintainability, and scalability. Implement comprehensive data quality testing using dbt tests. Develop and maintain data quality monitoring and alerting systems. Create data validation rules that catch issues before they impact business decisions. Establish data quality metrics and SLAs for analytics datasets. Collaborate with all stakeholders to resolve data quality issues at the source. Enable self‑service analytics by creating intuitive, well‑documented data models. Partner with business and product stakeholders to understand analytics requirements and translate them into technical solutions. Build metric definitions and calculations that ensure consistency across the organization. Provide training and support to stakeholders on analytics tools and data interpretation. Stakeholder collaboration Work closely with analysts and data scientists to provide analysis‑ready datasets. Collaborate with business stakeholders to understand requirements and design appropriate data solutions. Partner with Data Engineers to ensure optimal data pipeline design and performance. Communicate technical concepts clearly to both technical and business audiences. What we’re looking for Experience & background 3‑5 years of experience in analytics engineering, data analytics, or related data roles. Proven track record of building data models and transformations in production environments. Experience working with business stakeholders to translate requirements into technical solutions. Background in implementing data quality testing and monitoring practices. Technical requirements Expert proficiency in SQL and advanced capabilities. Hands‑on experience with dbt for data transformation and modeling. Experience with cloud data warehouses (Snowflake). Experience with data quality testing frameworks (e.g. dbt tests). Proficiency in version control systems (Git, GitHub). Understanding of dimensional modeling concepts and best practices. Analytics & business skills Strong understanding of business intelligence and analytics concepts; experience with data visualization tools and self‑service analytics platforms. Ability to translate business requirements into technical data solutions. Knowledge of statistical concepts and data analysis methodology. As we are an international team, please submit your application and CV in English. About Spendesk Spendesk is the AI‑powered spend management and procurement platform that transforms company spending. By simplifying procurement, payment cards, expense management, invoice processing, and accounting automation, Spendesk sets the new standard for spending at work. Its single, intelligent solution makes efficient spending easy for employees and gives finance leaders the full visibility and control they need across all company spend, even in multi‑entity structures. Trusted by thousands of companies, Spendesk supports over 200,000 users across brands such as SoundCloud, Gousto, SumUp, and Bloom & Wild. With offices in the United Kingdom, France, Spain and Germany, Spendesk also puts community at the heart of its mission. About our people & culture We believe that people do their best work when they’re given the freedom to thrive and grow. That’s why liberation is at the core of everything we do. We empower Spendeskers to take ownership of their work, navigate ambiguity, and seize every opportunity. Spendeskers come from all over the world (35+ countries and counting!) but we have plenty in common: we’re bold, ever‑curious, committed to kindness, and tackle every challenge with a positive mindset. About our benefits Flexible on‑site and remote policy Lunch 60% funded by Spendesk (Swile Card) Alan Premium health insurance A Gymlib pass to let off steam after a productive day at work Access to Moka.care for emotional and mental health wellbeing Access to Vendredi allowing us to change the world Great office snacks to fuel your day A positive team to work with daily! Diversity & inclusion At Spendesk, we’re committed to fostering an environment where all differences are encouraged, supported and celebrated. We’re building our culture for everyone, with everyone. Our goal is to attract and build a diverse, equal and inclusive team, where everyone feels welcome and we truly embrace and encourage people from all backgrounds to apply. Seniority level Not Applicable Employment type Contract Job function Information Technology Industries Software Development Referrals increase your chances of interviewing at Spendesk by 2x. #J-18808-Ljbffr

DESCRIPTION The Operational Excellence Analyst in Global Operational Excellence (GOX) drives data-driven performance improvements across Amazon’s EU Inbound Supply Chain operating in a cross-functional environment with Cross Dock and Fulfillment Center Operations, Transportation, Analytics, and Planning Systems teams. This role owns the technical analysis and automation behind regional Inbound Speed and Delivery Estimate Accuracy (DEA) metrics. You will build scalable data pipelines, write production-grade SQL against petabyte-scale warehouses, and develop analytical tooling to identify, quantify, and eliminate placement defects, transportation disruptions, and supply chain backlog connecting systemic root causes to shop-floor impact and customer delivery outcomes. You will develop automated monitoring systems, statistical models, and simulation frameworks to surface improvement opportunities before they impact customers. Your work will span from exploratory data analysis on large-scale datasets to building self-service tools that enable business partners to make data-driven decisions in real time. Key job responsibilities Own the data infrastructure behind Inbound Speed and DEA metric reporting building automated ETL pipelines, scheduled queries, and alerting mechanisms Write advanced SQL (window functions, CTEs, recursive queries, query optimisation) against large-scale data warehouses (Andes/Redshift, Athena) to perform root cause analysis on placement and transportation defects Develop Python-based automation for data processing, anomaly detection, and reporting workflows reducing manual intervention and accelerating insight delivery Build statistical models to quantify the impact of transportation disruptions, supply chain backlog, and placement deficiencies on customer delivery promises Design and maintain dashboards and self-service analytical tools (QuickSight, automated reports) enabling stakeholders to detect problems ahead of customer impact Drive the process improvement roadmap with data-backed proposals influencing decision-making at all levels through rigorous quantitative analysis Perform large-scale data mining across multiple database systems (Redshift, Athena, DynamoDB) to identify patterns in transship flows, delivery accuracy, and network performance Collaborate with technology teams to translate analytical findings into system requirements, new features, and configuration changes Develop and document automated data quality checks and monitoring frameworks for critical operational metrics Act as technical enabler for front-line teams building tools that surface defects, identify root causes, and track corrective action effectiveness A day in the life Write and optimise complex SQL queries across multiple data sources to investigate why customer delivery promises were missed ‑tracing issues back to specific products, warehouses, or shipping routes Build and maintain Python scripts that automate daily/weekly data pulls, transformations, and reporting deliverables Collaborate with Business Intelligence Engineers, Program Managers, and Finance Analysts to develop scalable metrics frameworks Perform deep‑dive investigations on specific shipments or orders, then scale findings using statistical methods to quantify network‑wide impact Translate operational challenges raised by business teams into structured analytical problems ‑ designing technical solutions that address the root cause, not just the symptom Partner with tech teams to define data requirements and validate system changes through pre/post analysis Present data‑driven recommendations to senior leadership with clear quantification of customer and cost impact Develop and maintain scheduled data transformation jobs for automated reporting Monitor automated alerting systems and triage emerging operational issues using real‑time data About the team The Global Operational Excellence (GOX) team drives operational improvements across Amazon’s EU fulfillment network and ROW. We work at the intersection of technology and operations to optimize how inventory is placed, moved, and delivered reducing costs while improving customer experience. Our team leverages large‑scale data analysis, automation, and cross‑functional collaboration to solve complex supply chain challenges across Inbound Speed, Delivery Estimate Accuracy (DEA), and network performance. BASIC QUALIFICATIONS Bachelor's degree or equivalent qualification in Math, Engineering, Science or Business 3+ years of experience in data analytics, business intelligence, or data engineering within operations/supply chain PREFERRED QUALIFICATIONS Python programming experience writing scripts for data manipulation (pandas, numpy), automation (boto3, scheduling), and basic statistical analysis Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates. Our inclusive culture empowers Amazonians to deliver the best results for our customers. #J-18808-Ljbffr

Objective Make AI adoption across the group's eight engineering organizations continuous and rhythmic: cascade each CTO's vision into their teams as working discipline, and move practices that already work in one company into the other seven. Objective Make AI adoption across the group's eight engineering organizations continuous and rhythmic: cascade each CTO's vision into their teams as working discipline, and move practices that already work in one company into the other seven. About The Project Neurons Lab runs a group-wide AI Adoption Program for a major iGaming client: a holding of six game studios plus central business functions, 10+ companies, ~800–1,000 employees. The program combines business-team enablement, engineering enablement, and custom AI for game production. This role owns the engineering enablement track exclusively — the direct counterpart of the AI Education/Engagement Manager, who owns business teams. It is a new role, additional to the squad's AI Architect on the game-dev track ; it does not build game-production pilots. The engineering organizations span the full maturity range — from production agentic workflows, custom MCP servers and an AI-gateway rollout in the strongest companies, to teams writing their first specs. Every company keeps its own tools (Cursor / Claude Code / Codex — diversity is deliberate policy); this role transfers practices, not tools . Duration: ongoing, client-dedicated. Stage: start. KPIs Diffusion (core): ≥2 practices packaged per month into reusable artifacts (playbook, spec template, skills repo, recorded demo); ≥3 cross-company transfers per month, each adopted by ≥2 further companies; ≤2 weeks from detection to group-wide availability Adoption: ≥1 experiment per active team per sprint ("no empty sprints"); weekly-active AI usage ≥80% of engineers per active company (targets calibrated after 30-day baseline) Outcomes: developer time savings vs baseline; PR throughput and lead-time trend (DX Core 4 / DORA); guardrail — change failure rate and rework must not rise as AI share grows Rhythm: bi-weekly validation calls and monthly cross-company demo meets held on cadence; live one-page status board per company; CTO satisfaction ≥8/10 on a quarterly pulse Areas of responsibility Inside each company: take the cascade load off the CTO — turn their vision into team-level discipline: specs, rules, review standards, reusable skills, onboarding of the next circle of engineers Run the diffusion loop between companies: detect what already works in one team, validate direction and risks, package it into a reusable artifact, transfer it to the rest, measure against objective criteria Operate the rhythm: bi-weekly validation calls with active teams (an empty sprint is a signal to reorganize, not to push harder), a monthly cross-company demo meet, a per-company status board, and a monthly steering sync with the group CTO Teach teams to define objective, numeric success criteria for agentic work (loop engineering / hill-climbing against a metric) — the single biggest success factor for agents in production Respect each company's protocols: work through the local CTO first (some CTOs require being the first point of contact for all technical topics), never around them Triage needs that exceed enablement into scoped units — workshops (with the Head of AI Engineering), PoCs, deep-dive reviews — and hand them to the right Neurons Lab team Feed the group-level gateway/attribution agenda: cost and error attribution per team and tool; collaborate with the cloud team on cost optimization and AWS credits/co-funding Capture everything reusable in a group knowledge base; make wins visible to the CTOs and group leadership Skills Hands‑on daily fluency with agentic coding stacks: Claude Code, Cursor, Codex — including MCP servers, skills, sub‑agents, and spec‑driven development on real repositories AI architecture: LLM gateways/proxies (LiteLLM / OpenRouter class), cost and error attribution, local-LLM trade‑offs, in‑region deployment patterns (e.g. Bedrock) Engineering‑leadership credibility at tech‑lead / AI‑architect / head‑of‑engineering level — able to review real code, pipelines and specs with senior engineers, not present slides Facilitation of technical sessions: live demos, validation calls, hands‑on workshops with real repos Packaging: turning a working practice into an artifact another team adopts without the author in the room Knowledge Engineering measurement in the AI era: DX Core 4 / DORA, AI‑impact metrics, quality guardrails for AI‑generated code Adoption psychology for senior engineers — resistance among seniors is a named blocker in several of the client's companies Game development / iGaming exposure (nice to have): game math, certification constraints, art/animation pipelines Experience Led AI adoption or platform/developer‑enablement work in an engineering organization (20+ engineers), or equivalent tech‑lead/head‑of‑engineering experience Shipped agentic workflows to production; can show their own skills, MCP servers or spec repositories Fluent English required; Russian and/or Ukrainian a strong plus — the client's teams communicate in both #J-18808-Ljbffr

Valsea - Where Innovation Meets Entertainment At Valsea, we’re shaping the future of entertainment with immersive, engaging experiences that captivate players worldwide. Based in sunny Marbella, Spain, our vibrant open-space office is home to an international team of developers, marketers, product owners, and much more. Valsea operates a leading scalable technology platform, 100% owned by us. This gives us the freedom to deliver results fast. We integrate selected outside companies into our ecosystem to ensure we provide fresh and vibrant products for our customers. We work in a fast-paced environment, creating new brands, maintaining and improving our tech stack, launching leading acquisition and retention campaigns, and developing fresh features. Our ethos is simple – be best‑in‑class in everything we do. Despite our rapid growth, Valsea still has that exciting start-up feel. We embrace a hybrid working model to balance professional growth with personal well-being. With a dynamic work environment, attractive salary, and a culture that thrives on collaboration, our power is our people. We provide company laptops and other things you may need to work comfortably. Remote workers are always invited to our annual company trip and other team events. Ready to be part of something exciting? What are we looking for now? We’re a multi‑brand platform looking for a Product Manager whose north star is user engagement – how deeply and how often users interact with the product beyond their core transaction. You’ll own the full incentives and retention stack across the portfolio: the mechanics that reward users, and the in‑product experience that gets them to actually engage with those mechanics. This is a new role on the product team, with its own dedicated dev team to execute against your roadmap – you’ll own everything that keeps users engaged, rewarded, and coming back. What You’ll Do Define and own the roadmap for incentives, retention, and loyalty features across our multi‑brand portfolio, with user engagement as the guiding metric for prioritization. Partner with CRM/lifecycle marketing to translate campaign and segmentation needs into product requirements and platform capabilities. Design and prioritize AB tests on incentive mechanics, offer structures, and retention flows. Manage the economic modeling implications of promotional and reward mechanics. Own the end‑to‑end wallet and bonus balance experience, ensuring redemption logic is transparent, compliant, and low‑friction for users. Own the in‑product placement, visibility, and messaging of gamification and incentive features (missions, tournaments, VIP tiers, cashback, promotions) — treat feature discoverability and uptake as a core product metric, not an afterthought. Partner with design to test UI placements, entry points, and promotional surfaces (banners, nudges, badges, wallet screens) that drive feature adoption. Drive the roadmap for our Smartico CRM/gamification integration — from initial rollout across brands to ongoing feature adoption. Define success metrics for retention and incentive initiatives (activation, redemption rates, LTV impact, churn reduction) and report against them. Lead a dedicated dev team: write specs, prioritize the backlog, run sprint ceremonies, and unblock delivery. Collaborate cross‑functionally with compliance/legal on regulatory constraints for promotional mechanics (jurisdiction‑specific rules, usage limits). Stay close to competitors and market trends in retention mechanics and loyalty design across consumer tech. What You’ll Own Incentives engine – bonuses, promotional credits, cashback, rebates, and promotional mechanics across all brands, from rules configuration to user‑facing UX. Gamification & loyalty – missions, challenges, levels, VIP tiers, and reward mechanics that drive engagement and lifetime value. User engagement – treat depth and frequency of interaction (sessions, feature usage, time in product) as a primary success metric, not a byproduct of other work. Wallet – bonus balance logic, redemption requirements, conversion rules, and the user‑facing wallet experience. CRM integration – product ownership of our Smartico integration, ensuring campaign, segmentation, and gamification capabilities are fully leveraged and reliably wired into the platform.. New verticals (potential scope) – as we evaluate expansion into adjacent product lines, you may take on incentive and retention mechanics for that vertical. Feature merchandising & UI placement – owning how incentive and gamification features are surfaced, positioned, and promoted across the product UI, so users actually discover and use them, not just that they exist. What You’ll Bring 4+ years of product management experience, ideally with exposure to iGaming, gambling, fintech wallets, or loyalty/rewards products. Direct experience with bonusing, cashback/rakeback, or gamification mechanics (bonus engines, wagering requirements, loyalty tiers). A track record of driving measurable improvements in player/user engagement – not just shipping features, but growing how often and how deeply users interact with a product. Experience working with or evaluating CRM/marketing automation platforms (Smartico, Optimove, or similar) from a product integration standpoint. Strong analytical skills – comfortable defining KPIs, reading cohort/retention data, and using it to prioritize. Experience managing a dedicated engineering team – writing specs, grooming backlogs, and owning delivery. Understanding of AB testing methodology and how to collaborate with a testing‑focused counterpart. Excellent stakeholder management – you’ll work across product, CRM, compliance, and games teams daily. A strong eye for UI/UX and feature merchandising – proven ability to turn “the feature exists” into “players actually use it” through placement, visibility, and in‑app promotion. Nice To Have Experience in sportsbook product, particularly bonusing/promotions for sports betting. Familiarity with RTP and prize‑pool economics. Background in wallet or payments product work. Multi‑brand or multi‑jurisdiction product experience. How You Will Be Measured Player engagement – session frequency, depth of feature interaction, and time spent across bonusing/gamification surfaces. Bonus/promo engagement and redemption rates across brands. Feature discoverability and uptake (CTR into gamification/bonusing surfaces, % of active players engaging with each feature). Retention and churn metrics tied to loyalty/gamification initiatives. Adoption and stability of the Smartico CRM integration. Delivery velocity and quality of the dedicated dev team’s output. What We Offer Hybrid working model (office 3 days/ week) Innovative international company that uses cutting‑edge tech equipment Collaborative teams and agile multicultural environment Competitive salary with flexible working hours 23 paid vacation days + public holidays Private health insurance for you and your family Free Online English/Spanish lessons Corporate events throughout the year Ongoing learning and professional development opportunities In-office Perks Such As Daily breakfast and freshly cooked lunch 3 days a week 50% discount on personal training sessions and physiotherapy sessions Games room, full kitchen with hot drinks, fruit, soft drinks Gym, massage room and much more At Valsea, we want diversity and inclusion in an environment where unique perspectives and new talents thrive. Join us in creating a workplace where everyone can shine and contribute to our collective success. Protecting your privacy and data security is a longstanding top priority for Valsea. Please consult our Privacy Notice (https://valsea.teamtailor.com/data-privacy) to learn more about how we collect, use and transfer the personal data of our candidates. We’re a diverse team with great people from across the world. This position is only available as a hybrid position in Marbella (Spain). Please note that we are unable to sponsor work visas outside the EU. #J-18808-Ljbffr

About seQura seQura provides innovative, flexible and easy-to-use payment technologies that help merchants acquire, convert and retain more customers. We make a difference in sales performance by tailoring our solutions to different sectors, to address their unique pain points and deliver superior results in Retail, Education, Eyewear, Repairs and Travel. We also empower smart shopping to consumers who seek more value, convenience, and flexibility in their shopping, with new payment experiences that allow them to save, access interest-free credit, or pay in small, comfortable installments of up to 24 months. Born in Barcelona, seQura is a privately-owned fintech, currently expanding throughout southern Europe and Latin America, growing above 50% CAGR. Over 6000 businesses, almost 3 million shoppers, and almost 400 employees continue to rate us as one of the most loved and trusted fintechs out there, with an NPS of 87%, a Trustpilot rating of 4.7/5, and a Glassdoor rating of 4.1/5. About the role Finance at seQura runs on data: recurring calculations, regulatory processes, provisioning, reporting cycles, and profitability tracking. As a Senior Financial Product Data Analyst, you'll own the link between how Finance actually works, the KPIs it tracks, and the decisions those KPIs drive, turning that understanding into reliable, self-service data products. This isn't a "receive a ticket, write a query" role. You'll work closely with Finance and Finance Tech teams to understand why a number matters before you model it, then build trusted data products that Finance teams can use independently. Your work will directly improve how Finance operates, helping establish a single source of truth for revenue, enabling self-service reporting, and ensuring the business can make confident decisions based on reliable data. What challenges you'll be solving Learn seQura's Finance domain deeply enough to understand which KPIs matter, why they matter, and the business decisions they support—from pricing and provisioning to servicer settlement and product profitability. Design and build production-grade data products, not just queries: dbt models on Redshift, fully documented and tested to Single Source of Truth standards, together with the Metabase dashboards and self-service datasets that sit on top of them. Partner directly with Finance stakeholders to translate complex financial and regulatory processes into robust, reliable, and auditable data models. Validate and reconcile critical Finance outputs, including servicer reports, provisioning runs, and amortisation tables, ensuring they are accurate and audit-ready. Chase data quality issues back to their source, working closely with Data Engineering to solve problems upstream instead of applying downstream workarounds. Help close the existing revenue gap between operational systems and the data warehouse while improving Finance models for defaults and amortisation. Present findings, recommendations, and new data products directly to Finance leadership, connecting the data back to the business decisions it's meant to support. Contribute to broader Data & AI governance initiatives, including metadata, documentation, and data catalog work wherever it impacts Finance. About the Data team Team mission To turn seQura's raw data into trusted, well-governed data products that power business decisions, reporting, and AI across all domains. What we own The dbt transformation layer across business domains. The Single Source of Truth (SSOT) for key business metrics. Semantic models that enable consistent reporting and analytics. Data contracts and governance standards across domains. Data lineage, documentation, and discoverability. Data quality, testing, and monitoring to ensure trusted data products. Team Structure You’ll join a team of four Analytics Engineers, working alongside a Data Governance Lead and reporting to the Head of Data. You’ll collaborate closely with FP&A, Accounting, Treasury, Finance Tech, Data Engineering, and the wider Data & AI team to ensure Finance data is accurate, governed, and easy to consume. How we work We treat data as a product, with clear ownership, quality standards, and consumers. We build self-service data products rather than one-off reports. We understand the business context before building data models—we care as much about why a metric exists as how it's calculated. We work closely with domain experts to turn business knowledge into reusable, trusted data assets. We continuously improve data quality through governance, documentation, testing, and collaboration. What to expect in the next 90 days Month 1 Learn seQura's core Finance processes and KPIs, including pricing, provisioning, servicer settlement, and product profitability. Meet stakeholders across Finance and Finance Tech, and become familiar with the existing dbt models and Metabase dashboards supporting Finance. Month 2 Take ownership of your first data quality or reconciliation initiative end-to-end, tracing issues back to their source alongside Data Engineering while contributing to an active dbt model. Month 3 Deliver your first self-service Finance data product—a documented dbt model together with a Metabase dashboard—that Finance stakeholders can use independently, and present your work and recommendations to Finance leadership. Tech stack & environment Our Finance Analytics stack is built around SQL, dbt, Redshift, and Metabase, enabling trusted, production-grade data products across Finance. The team uses dbt for transformation and testing, Redshift as the analytical warehouse, and Metabase to deliver self-service reporting. OpenMetadata supports governance and discoverability, while Python and Airflow are used where automation or orchestration adds value. What you’ll need Must have: 5+ years of experience as a Data Analyst or Analytics Engineer. Strong hands-on SQL skills. Practical experience with dbt, including data modeling, testing, and documentation. Experience building dashboards and self-service data products using Metabase (or an equivalent BI platform). Demonstrated ability to understand Finance processes, not just execute against a specification, and translate that understanding into robust data logic. Strong business mindset, with the ability to connect KPIs to the decisions they support. Fluent English. Nice to have: Experience in fintech, lending, or BNPL environments. Knowledge of provisioning, amortisation, EIR, or IFRS 9. Python for analysis or lightweight automation. Experience with data governance or catalog tools such as OpenMetadata. Experience with orchestration tools such as Airflow. Experience presenting data products directly to Finance or executive stakeholders. What we offer We have a strong and sustainable foundation, where we provide a secure and reliable workplace. You have the freedom and trust to make the best contribution possible. One of our most valued strengths by our employees is our fellowship and supportive culture, which fosters a sense of belonging by working closely with our values. With us, you will have challenging projects to work on and push your skills and knowledge. In addition, we are very proud of the unique office we have, which offers a comfortable and inspiring environment to work in with everything you need. 23 vacation days + 2 days of free disposal per year. Flexible compensation plan for transportation, restaurants, and kindergarten with Cobee. Health insurance discounts with Sanitas and DKV. Flexible working hours. A personal budget for professional development. Office workshops and meet‑ups to encourage community participation and career growth. Hybrid or remote work (up to 2 hours difference from GMT+2). Moreover, we have a Wellness Program that embraces a holistic approach by covering 6 areas (occupational, physical, financial, emotional, social, and environmental consciousness). Each area will include a variety of activities, and you'll be able to choose from 34 different activities that best meet your needs to configure a plan that best works for you. Which are the next steps? Interview with People Team Hiring Manager interview Technical take-home assessment (async) Live Peer review of the assessment Meet the team We promote equal opportunity to all, regardless of age, color, gender identity, medical condition, physical or mental disability, race, religion, sexual orientation, or any other characteristic. We have an inclusive environment, and respect is above all. #J-18808-Ljbffr

Position Overview Senior Associate Digital Renewal Representative is responsible for managing multiple customer renewal cycles across regional accounts, ensuring timely, accurate renewals while supporting customer retention and growth. This role engages directly with customers on renewal discussions, identifies churn risks and expansion opportunities, and collaborates with Account Executives, Customer Success Managers, and partners. It requires strong time management, customer focus, and the ability to execute renewals with increasing independence using CRM tools and established playbooks. Work Schedule This role is Monday to Friday with an expectation of being in-office 3 days per week. Responsibilities Execute end-to-end renewal motions, streamlining workflows and minimizing manual intervention. Close customer renewals to protect and retain the existing customer base, ensuring accuracy and on-time execution. Drive and close seat expansion opportunities at the time of renewal using standard sales plays. Monitor account auto‑renewal status and intervene when auto‑renewals are disabled to prevent churn. Work directly with customer procurement teams to complete renewal transactions. Maintain accurate sales forecasts and pipeline visibility using CRM and renewal tracking tools. Collaborate with Account Executives on larger cross‑sell and expansion opportunities. Engage and when needed partner with Customer Success Managers to support retention and adoption efforts during post‑sale engagements. Provide light‑touch support to authorized partners. Share insights on churn risks, renewal blockers, and missed upsell opportunities across internal teams. Gather and deliver customer feedback related to products, packaging, and renewal experience. Minimum Requirements 1–3 years of experience in inside sales, renewals, account management, or customer‑facing sales roles. Fluency in English and German; German speaker required. Experience closing deals or renewals, including customer communication and follow‑up. Proven ability to manage multiple renewal cycles and priorities concurrently. Strong organizational and time‑management skills. Experience using CRM or renewal tracking systems. Effective written and verbal communication skills. Customer‑focused mindset with the ability to identify and address customer needs. Bachelor’s degree or equivalent professional experience. Preferred Qualifications Experience in a software, SaaS, or technology sales environment. Prior exposure to subscription‑based or renewal‑driven sales models. Experience supporting seat expansions or upsell opportunities during renewals. Familiarity working with procurement teams and contract‑driven renewals. Experience collaborating with Account Executives, Customer Success, and partner organizations. Ability to identify churn risks and recommend proactive retention actions. Comfort operating in a fast‑paced, metric‑driven sales environment. #J-18808-Ljbffr

Affirm is recruiting for a Revenue Analytics Analyst to build scalable data products, dashboards, and governance that power the Revenue organization. The role covers data modeling, metric definitions, and end-to-end data infrastructure in a remote Spain setting. The ideal candidate has 3+ years in analytics engineering or BI, strong SQL/dbt/Python skills, and experience with Sigma/Looker/Tableau, Databricks, and Snowflake. Visa sponsorship is available for this Spain-based position. #J-18808-Ljbffr

At Factorial, design leadership is not a service function, an operations role, or a people‑coordination job. It's not even mostly about UX/UI. We're looking for a Senior Director of Product Design who operates at the level of value creation. Someone who understands the gap between a usable product and a profitable one, and knows how to close it. About Us At Factorial, we are building the self‑operating system that helps companies get the most out of their people, money, and resources. A software that runs the work itself instead of asking people to. Today, those three worlds are fragmented. Headcount decisions happen without cost visibility. Payroll runs disconnected from time and expenses. IT access lives in spreadsheets and tickets. We're connecting all of it into one system, so every decision around hiring, onboarding, compensation, and technology is made with full context and real‑time cost visibility. We're at €100M+ in annual recurring revenue, serving 16,000+ companies in 60 countries with 1,500+ employees, and we recently closed a €150M round at a €2.5B valuation. The next phase is connecting the dots at a platform level, and design is leading that shift. Designers at Factorial are expected to understand how customers' processes actually work end‑to‑end, frame problems in terms of business impact, and help decide what to build, not only how. Success is measured in revenue created and churn prevented, not in NPS or activity disguised as impact. Building a self‑operating system for companies requires us to work in an AI‑first environment, which is not about the tools but the thinking. The core of the work is framing the problem and designing the system: what it should do, what it should decide on its own, and what humans still orchestrate. Screens come last. Designers stress‑test that thinking with the model, prototype with tools like Claude and Cursor, validate with real customers, implement part of their solutions, and stay accountable until the work is live and moving the metric. AI is the tool, and we expect you to use it relentlessly, even building your own agents to understand the agentic products you're designing. But it's not what we pay for. We pay for your judgment: the framing, the taste, the calls no model can make. The role: IT space This position owns the IT space, a domain where a bad experience is still socially accepted. The laptop arrives late. Access is missing. Tickets everywhere. Employees start their first week with zero sense of control, and nobody is surprised. We're rebuilding this layer to run itself. Not another integration on top of a broken stack, but a single platform that is actively becoming agentic, where IT, onboarding, and access coordinate themselves across legal, payroll, talent, and finance. The design challenge is not the flow. It's the boundary: what the system should provision, grant, and decide autonomously, and where IT and employee judgment still belong. The goal is to take this product from 0 to €5M in 2026. You'll define the strategy, build and lead a team of 4 to 7 high‑caliber product designers, and own a €3–4M budget. Required Skills Experience: 10+ years building digital products, 3+ leading teams, at a level where design drove measurable business outcomes. Business mindset: You use business data to shape decisions, and see user needs and business goals as the same conversation. Agentic AI: You've shipped or seriously prototyped agentic products. You're fluent in the building blocks (agents, tools, skills, context, evals) and move between the design and technical layers without a translator. Talent development: You've built design teams end-to-end: hired top talent, developed people over time, and made difficult decisions when necessary. Research & problem framing: You combine qualitative research, direct customer conversations, and business data to uncover insights and articulate clear decisions. Systemic thinking: You think in systems before experiences — mapping how a product creates, captures, and destroys value across complex stakeholder ecosystems. Design & craft: You know the difference between something that works and something truly well made, and you hold that standard for yourself and your team. Communication: Fluent in English, written and spoken. You have a plus if You’ve worked in B2B SaaS where buyer, user, and economic decision‑maker are different people. You’ve built products from 0 to millions of euros in revenue. You’ve operated in high‑growth environments with constant ambiguity. You can independently pull and interpret data using BI tools. Is this role for you? If any of this is true, this will feel like a misalignment. That’s okay. This role is not the right fit if You expect predefined business requirements to work with. You see management primarily as process optimization and people coordination. Your main focus is user satisfaction and usability alone. Figma is where you hide from the business conversation. You will probably love this role if You see design as a value stream, not just an experience lever. You don’t treat design as a bridge between users and business. You treat it as business. You’re comfortable debating trade‑offs and outcomes, not just outputs. You want real influence and accept the responsibility that comes with it. Compensation €118,000 to €150,000, plus an additional 50% in equity (phantom shares), based on impact and capability. We care more about your ability to create value than the years on your CV. We offer equity because this role is not a job, it's ownership. If you're helping shape this platform, you should participate in the value it creates. How do we work? At Factorial, we believe the best products are built when people come together, in person, to collaborate, challenge ideas, and move fast. That’s why our Product team follows an office‑first, flexible approach. We work on‑site several days a week (80%), using that time to connect, align, and innovate as a team. However, we also understand the importance of focus and flexibility, so we support remote work when it makes sense (20%): whether for deep work, personal needs, or just a change of scenery. Other Perks Of Being Part Of Our Team High growth, multicultural, and friendly environment. Continuous training and learning based on your needs. Alan's private health insurance. Healthy life with Wellhub (Gyms, pools, outdoor classes). Save expenses with Cobee. Language classes with Preply. Get the most out of your salary with Payflow. And when at the office Breakfast in the office and organic fruit. Nora and Apetit discounts. Pet Friendly. #J-18808-Ljbffr

About Us Perk (formerly TravelPerk) is the intelligent platform for travel and spend management. Built to tackle the time-consuming, manual work that gets in the way of real work, our tools automate everything from travel bookings to expenses, invoice processing, and more. By eliminating this shadow work that wastes hours, erodes morale, and saps innovation, we're on a mission to power real work, with real impact.We're trusted by more than 12,000 companies worldwide, including On Running, Breitling, and Fabletics, and we're tackling the 7 hours of lost productivity per employee each week, a $1.7 trillion problem.Founded in 2015, Perk has grown into a global company of more than 1,800 people across 12 offices globally, with headquarters in London and Boston. We combine innovation, control, and simplicity to transform how businesses work and how people feel at work.At Perk, we're driven by our values, like being an owner, delivering a 7-star experience, and working as one team. We value curiosity, purpose, and mindset, not just knowledge, to unlock the power in your potential. Our talent team brings together leading minds from the travel, fintech, and SaaS industries, representing over 70 countries. If you're excited about having a real impact and shaping how millions of people experience work, we'd love you on the team.Visit www.perk.com to learn more. About the Role We are hiring our first Director of Go-to-Market Engineering . Perk's revenue organisation is 800 people selling to more than 10,000 companies. Behind them sits a CRM, an enrichment and signal stack, a growing set of AI agents - and a lot of manual work that no longer needs to exist. Your job is to remove it and to build the automated systems that replace it. You will own GTM Engineering end-to-end: which tools we use, how the architecture fits together, what gets built, and what it does for revenue. You report to the VP of Revenue Operations , lead a small senior team across Europe and North America, and work across SDR, Account Executive, and Account Management - a few high-impact projects each quarter. This is a player-coach role, and we mean it. You will be in Clay, in the orchestration logic, in the agent workflows, building alongside a team doing the same. You're using your experience to guide and coach them to accelerate the pace. The other half of the job is commercial. The best GTM engineers we have met can sit with a regional Sales VP, work out why their pipeline isn't converting, and leave with the right thing to build. That instinct matters more to us than any single tool on a CV. What You'll Do Own the strategy and the stack Define Perk's GTM engineering architecture - how CRM, enrichment, signal, sequencing, orchestration and data layers fit together. Make the tooling calls: what we adopt, what we consolidate, what we retire, and why it pays for itself. Set the roadmap with the VP of Revenue Operations, Sales leadership, and the Revenue Systems and Data teams. Establish the standards the team builds to - version control, documentation, testing, and rollback. Build, hands-on Design and build in Clay: tables, waterfall enrichment, AI columns, webhooks and API integrations in production. Own the orchestration layer - the logic deciding which records enter a workflow, when, and on what criteria. This is where GTM automation succeeds or fails. Build agentic workflows on modern LLM and agent tooling to take research, qualification, summarisation and data entry off people entirely. Write the code the job needs - Python, SQL, SOQL or TypeScript. Automate across SDR, AE, and AM Own account prospecting automation globally: TAM sourcing, enrichment, ICP and intent scoring, prioritisation and distribution. Give AEs their selling time back - CRM autofill, quoting, meeting prep, opportunity hygiene, first outbounds. Build account intelligence for Account Management: risk signals, whitespace, account planning. Take each project from prototype to production properly - instrumented and validated before it scales. Bridge commercial and technical Turn commercial problems into technical architecture, and technical output into impact a revenue VPs recognises. Understand Perk's revenue goals and how to leverage AI capabilities for us to achieve them quicker and more efficiently. Understand and drive clear and tangible commercial outcomes. For example, how to reduce the time that quota-carrying roles spend on non-core activities such as account research, be able to quantify the impact, and clearly communicate the outcomes to leadership. Build the team Lead and grow a small, senior team across Europe and North America. Set clear ownership, and the review discipline that makes shipping fast also means shipping safely. Grow the team's technical depth and commercial judgement in equal measure. What Will Make You Successful Experience Deep background across Revenue Operations, GTM Engineering, Sales Systems, Growth Engineering, or an adjacent technical commercial function in B2B SaaS Proven track record in GTM Engineering specifically, with delivery at real scale — systems hundreds of sellers relied on, not a pilot for one team Time as both a builder and a leader. This role needs both. Technical craft Clay expertise in production - complex tables, waterfall enrichment, webhook integrations and AI column logic that revenue teams actually depended on. Deep Salesforce fluency: the data model, integration patterns, and where the constraints really are. Working proficiency in code — Python, SQL, SOQL, TypeScript or equivalent. You pull your own data. Not all coding languages are necessary, but proficiency in one or some is required. Architecture instincts: you build for scale, monitoring and recovery, not just for the first successful run. Depth across several layers of the modern GTM stack - enrichment and data (Apollo, Clearbit, ZoomInfo, Cognism, PredictLeads), signal and intent (6sense, Bombora, UserGems), sequencing (Outreach, Salesloft), orchestration (n8n, Make, Workato), data infrastructure (Snowflake, dbt, BigQuery) and LLM and agent tooling. Nobody has all of it. We care that you have real depth somewhere and can learn the rest quickly. Commercial instinct You judge your work by whether it moved a commercial metric, not by whether it shipped. You have the credibility with Sales leaders to scope the right build - and to say when automation is the wrong answer. You understand the funnel end to end: TAM, ICP, pipeline generation, conversion, expansion, and the economics underneath. Nice to have Having stood up a GTM engineering function at a high-growth SaaS business, ideally above $100M ARR. Experience taking an automation programme from pilot to global production, including what you learned when it got bumpy. Multi-region GTM experience across EMEA and North America. Why This Role GTM Engineering is a discipline being written right now, and most companies are still treating it as a tooling function. This is the chance to own it properly, the stack, the architecture, the build, and the commercial outcome across a $300M+ revenue business with 800 people in the field, a genuine appetite for automation, and the budget and executive backing to move fast. You would be the first person in this seat, with real systems and real data to work with rather than a blank page, and the freedom to decide what Perk's automation layer should look like. There is a lot to go after, the problems are interesting, and the impact is immediate and visible. If you want to build the automation layer of a commercial engine at this scale and you want to still have your hands on it come and build it here. How We Work At Perk, we take an IRL-first approach to work, where our team works together in-person 3 days a week. As such, this role requires you to be based within commuting distance of our hubs. We fundamentally believe in the value of meeting in real life to improve connectivity, productivity, creativity and ultimately making us a great place to work. Perk is a global company with a diverse customer base, and we want to make sure the people behind our product reflect that. We’re an equal opportunity employer, which means you’re welcome at Perk regardless of how you look, where you’re from, or anything else that makes you, well, you. #J-18808-Ljbffr

Job Requisition ID # 26WD100462 Role Overview The Senior Associate Digital Renewal Representative is responsible for managing multiple customer renewal cycles across regional accounts, ensuring timely, accurate renewals while supporting customer retention and growth. This role engages directly with customers on renewal discussions, identifies churn risks and expansion opportunities, and collaborates with Account Executives, Customer Success Managers, and partners. The ideal candidate demonstrates strong time management, customer focus, and the ability to execute renewals with increasing independence using CRM tools and established playbooks. This role is Monday to Friday with an expectation of being in-office 3 days per week. Key Responsibilities Execute end‑to‑end renewal motions, streamlining workflows and minimizing manual intervention. Close customer renewals to protect and retain the existing customer base, ensuring accuracy and on time execution. Drive and close seat expansion opportunities at the time of renewal using standard sales plays. Monitor account auto‑renewal status and intervene when auto‑renewals are disabled to prevent churn. Work directly with customer procurement teams to complete renewal transactions. Maintain accurate sales forecasts and pipeline visibility using CRM and renewal tracking tools. Collaborate with Account Executives on larger cross‑sell and expansion opportunities. Engage and when needed partner with Customer Success Managers to support retention and adoption efforts during post‑sale engagements. Provide light‑touch support to authorized partners. Share insights on churn risks, renewal blockers, and missed upsell opportunities across internal teams. Gather and deliver customer feedback related to products, packaging, and renewal experience. Minimum Requirements 1–3 years of experience in inside sales, renewals, account management, or customer‑facing sales roles. Experience closing deals or renewals, including customer communication and follow‑up. Proven ability to manage multiple renewal cycles and priorities concurrently. Strong organizational and time‑management skills. Experience using CRM or renewal tracking systems. Effective written and verbal communication skills. Customer‑focused mindset with the ability to identify and address customer needs. Bachelor’s degree or equivalent professional experience. Finnish speaker as preferred additional languages. Preferred Qualifications Experience in a software, SaaS, or technology sales environment. Prior exposure to subscription‑based or renewal‑driven sales models. Experience supporting seat expansions or upsell opportunities during renewals. Familiarity working with procurement teams and contract‑driven renewals. Experience collaborating with Account Executives, Customer Success, and partner organizations. Ability to identify churn risks and recommend proactive retention actions. Comfort operating in a fast‑paced, metric-driven sales environment. RS27 About Autodesk Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made. We take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world. When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us! Salary transparency Salary is one part of Autodesk’s competitive compensation package. Offers are based on the candidate’s experience and geographic location. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package. Belonging We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/global-belonging Are you an existing contractor or consultant with Autodesk? Please search for open jobs and apply internally (not on this external site). #J-18808-Ljbffr

Hey there! We’re Fever, the world’s leading tech platform for culture and live entertainment. Our mission? To democratize access to culture and entertainment. With our proprietary cutting‑edge technology and data‑driven approach, we’re revolutionizing the way people engage with live entertainment. Every month, our platform inspires over 300 million people in +55 countries (and counting) to discover unforgettable experiences while also empowering event creators with our data and technology, helping them scale, innovate, and enhance their events to reach new audiences. Our results? We’ve teamed up with major industry leaders like Netflix, F.C. Barcelona, and Primavera Sound, presented international award-winning experiences, and are backed by several leading global investors! Impressive, right? To achieve our mission, we are looking for bar‑raisers with a hands‑on mindset who are eager to help shape the future of entertainment! Ready to be part of the experience? Now, let’s discuss this role and what you will do to help achieve Fever’s mission. Meet The Team At Fever, our Social Media Team makes sure our brand shines online and every project has a strong, authentic presence. We connect and collaborate with users, creators, and influencers around the world to spark conversations and amplify experiences. From digital strategy and content creation to community management, influencer campaigns, and social media monitoring , we shape how millions engage with Fever every day. We also provide insights, research, and fresh ideas that fuel new concepts across the company. Join us if you want to build communities, create shareable stories, and turn social media into unforgettable experiences. The Role As a Senior Influencer Specialist, you will serve as the global architect of our creator strategy, scaling high‑impact campaigns that drive positive brand growth and elevate our market presence. Blending a rigorous, data‑driven mindset with sharp negotiation skills, you will translate performance metrics into efficient resource allocation and innovative project frameworks. In this role, you will also champion our core brand values globally while mentoring and developing a small, agile team of specialists to execute with excellence. What You´ll Do Develop and execute influencer marketing strategies and creative campaigns globally at a scale. Drive the development of innovative projects for positive brand growth. Set explicit campaign goals, continually assess against benchmarks, and enhance performance by implementing strategies informed by data‑driven insights. Leverage data insights to pinpoint impactful influencers, refine campaigns through metric analysis, and ensure efficient resource allocation guided by data‑driven decisions. Optimize influencer relationships through streamlined communication, efficient agreement tracking, and global influencer scouting and negotiation. Ensure accurate communication of brand values and philosophy through interactions with influencers globally. Management of a small team of juniors and specialists. Who You Are Fluent proficiency in oral and written English and Spanish; additional proficiency in French, Portuguese, German or Italian is a plus. Minimum of 3+ years of experience in influencer marketing and affiliate marketing. Deep understanding and proven experience working within the LATAM and US markets. Degree in Marketing, Communications, or related discipline. Proven track record of initiating, managing, and monetizing relationships with influencers, affiliates, and agencies. Strong performance and data‑driven mindset and business goal‑oriented approach. Stay abreast of social media trends and technology to identify and build relationships with best‑fit influencers. Strong project management skills. Excellent interpersonal and relationship‑building skills for effective collaboration across territories. Ability to adapt to the fast‑paced environment of a digital startup. Detail‑oriented, critical thinker, and problem‑solver. Based in or willing to relocate to Madrid, Spain. Why You´ll Love It Here Attractive compensation package with room to grow. 40% discount on all Fever events and experiences + free Candlelight voucher. Flexible remuneration with Cobee: meals, transport, training, and nursery support (tax‑exempt). Payflow: option to access part of your salary in advance. Taxdown: help optimizing and filing your taxes. Private health & dental insurance with Cigna: 100% covered by Fever. You can also add your family members via flexible remuneration. Wellhub membership for gym and wellness access: 100% covered by Fever up to the Silver plan. Language learning support: English and Spanish lessons. Hybrid work setup: home office friendly with a central Madrid office location. Snacks, drinks, and fresh fruit are always available at the office. Dynamic international team: a young, talented group creating a great work environment. Thank you for considering joining Fever. We cannot wait to learn more about you! If you want to learn more about us: Fever's Blog | Tech.Eu |TechCrunch Fever is committed to creating an inclusive and diverse workspace where everyone's background and ideas count. Our main goal is to find the best possible talent regardless of place of birth, racial or ethnic origin, gender, gender identity, religion, opinion, sexual orientation, disability, pregnancy, marital status, age or caring responsibilities. We encourage everyone to apply! If you require any kind of accommodation during the selection process please contact our Talent team so we can help you and providing a welcoming and seamless journey. #J-18808-Ljbffr

Quantum Metric's number one objective is happy people, diverse and inclusive culture. We’re passionate about empowering our people to become the best version of themselves, offering coaching and training programs designed to accelerate their career in whatever direction they choose. As a remote-first company, we understand the importance of building an engaged, diverse, and fun place to work. We hold regular company-wide events, seasonal challenges, and Quantum Metric sponsored local outings when Zoom becomes too much. We also have a number of Employee Resource Groups that provide spaces to discuss, share, and reflect on topics that impact us both inside and outside of work - from being new to SaaS or navigating it as a first-time parent, to overcoming the barriers faced as Black, Hispanic, Asian American and Native Hawaiian/Pacific Islander, LGBTQIA or other underrepresented backgrounds. We are also passionate about the connections we build with our customers. You’ll not only work with some of the world’s most recognized brands, but build lasting relationships. At Quantum Metric we value all types of experience and education and don’t expect you to meet every qualification for this position. We are most interested in the unique perspective you can bring and your ability to uphold our values of passion, persistence, and integrity. About The Role As an Enterprise Solutions Engineer (EMEA) at Quantum Metric, you will serve as a trusted technical advisor supporting complex, high-value sales opportunities across the region. Working in close partnership with Enterprise Account Executives, you will engage with large, multinational organizations to help them transform how they understand and optimize digital customer experiences. In this role, you will guide the technical strategy for enterprise deals, aligning Quantum Metric’s platform with strategic business initiatives. You will connect with diverse audiences—from digital and product teams to C-level executives—positioning Quantum Metric as a critical component of enterprise digital transformation. Strategic Advisory: Guide the technical strategy for enterprise sales cycles across EMEA, from initial discovery to closing. Solution Design: Create tailored demonstrations and narratives that align Quantum Metric’s platform with high-level business outcomes. POC Execution: Lead complex proof-of-concepts, defining success criteria and quantifying measurable business value. Technical Architecture: Translate customer needs into scalable solution architectures and clear value propositions. Cross-Functional Partnership: Collaborate with Account Executives on deal orchestration and coordinate with Product/Engineering to ensure smooth post-sales onboarding. Market Influence: Support RFP responses and provide structured customer feedback to influence the product roadmap. Linguistic Skills: Proficiency in English and Italian; additional European languages preferred. Experience: 4+ years in Enterprise Pre-Sales/Solutions Engineering within the SaaS or software sector. Sales Acumen: Proven success supporting complex, multi-layered sales cycles for large enterprise organizations. Stakeholder Management: Ability to engage both technical teams (architects/developers) and C-suite executives (CIO/CDO). Communication: Exceptional storytelling and presentation skills tailored for diverse corporate environments. Agility: Strong organizational skills to manage multiple strategic deals and a willingness to travel 25–30% across EMEA. Preferred Qualifications Experience in Digital Experience Analytics or CXM platforms. Familiarity with agentic AI, enterprise data architecture, or tagging strategies. Background in high-growth SaaS or digital transformation consulting. €60,000 - €80,000 a year 60,000 - 80,000 EUR basic + variable Note: This interview process is subject to change. End stage candidates are also given the optional opportunity to meet with an Employee Resource Group Member if that is of interest. Take-Home Skills Assessment (30 minutes) Presentation (60 minutes) In-person interview (30-90 minutes, subject to interviewer availability) CEO Interview (30 minutes) One time Home-Office Stipend - upon hire Monthly Business Expense Stipend Stock Options Employee Lead Referral Program Internal Lead Referral Program Company-Wide Unlimited Paid Time Off policy (In Addition to company vacation entitlement) Flexible Schedules Work From Home MacBook and awesome swag delivered to your door RECHARGE PROGRAM (after 3 years, disconnect for 3 weeks, no email/slack) QM-funded Restaurant Vouchers Private Medical Insurance - 100% Employer Paid, Cover for employees and family, Includes routine dental care Encouraging and collaborative culture As a leader in digital analytics, Quantum Metric helps organizations put customers at the heart of everything they do. Providing a simplified approach to monitor, diagnose and optimize the digital journeys that matter most, the Quantum Metric platform offers in-depth customer understanding, quantified and tied to core business objectives. Today, Quantum Metric captures insights from 50 percent of the world’s internet users, supporting nationally recognized brands in ecommerce and retail, travel, financial services and telecommunications. Quantum Metric has been named to the Inc 5000 and the Deloitte 500 for the last six-consecutive years, and has made the Best Places to Work lists by Glassdoor, BuiltIn, Fast Company and Forbes. The job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Quantum Metric reserves the right to change, edit, and add duties and responsibilities of all job descriptions at any time, at its sole discretion, and to notify the respective employee accordingly. Quantum Metric will only provide offers of employment and all communications regarding employment from an official @quantummetric.Com email address and/or LinkedIn inMail. Quantum does not recruit via channels such as WhatsApp or Telegram, and will not ask for a candidate’s sensitive information and/or any upfront fees/costs during the job application process. Quantum asks that any candidates report any suspicious recruitment efforts to [email protected]. Quantum Metric is an E-Verify employer: #J-18808-Ljbffr

Health can’t wait . Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 800+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. Alan Precision: why this exists Your body knows before you do. The signals are there years before symptoms. And yet, in 2026, the system around us isn't catching them. 50% of non‑communicable diseases (cardiovascular disease, type 2 diabetes, many cancers) are preventable with lifestyle changes, and we're not capturing them. Western countries have seen healthspan flatline for years, meaning we live longer, but not better. 46% of Europeans report mental health issues. The kind of deep, personalized health reading that could change this has been reserved for the few who could afford a 3,000€ check‑up, and built for filing reports rather than changing lives. We don't accept that. Alan Precision is our bet on advanced prevention as the new norm of care. We combine biology, wearables, medical history, and lifestyle context, read it all as a connected system with AI supervised by physicians, and turn the result into a personalized protocol the member actually executes across sleep, nutrition, movement, stress, and supplementation. Then we retest, learn, and adapt. Health is a moving target. We move with it. Our ambition: make Alan Precision the reference for advanced prevention in Europe by 2030. The Alan Precision Crew The crew was launched by the founding team of ARO, acquired by Alan in 2026, to move fast and apply their learnings from building a preventive health company. It is a lean 0‑to‑1 crew with the energy, autonomy, and pace of a startup, inside one of Europe’s fastest‑growing unicorns, with access to Alan’s 1M+ members, its ecosystem (Mo, Play, Clinic), and its stack. Scope You’ll work across the entire product surface as a full‑stack generalist. The big areas: 1. AI as the strategist of your health. Members come to Precision with messy, multi‑source data and one real question: "what should I actually do?". AI is how we answer it. It reads the member’s biology, wearables, medical history, and lifestyle context together, surfaces what matters, generates personalised insights and action plans, and helps the member navigate their own health day after day. You’ll build the AI layer that does this, and the loops that make it sharper over time. 1. The full health picture. Before AI can help, the data has to be there: lab results, wearable streams, medical history, lifestyle inputs, all ingested cleanly and modelled as a coherent picture of one person. You’ll build the pipelines, the integrations with lab partners and wearable APIs, the document understanding, and the data model that everything else relies on. 1. A product members want to open every day. Most health products lose people after a week. We can't. A mobile‑first experience that turns a long‑term health protocol into something members actually want to interact with: onboarding, the daily plan, retests, progress, the moments of insight that pull them back in. You’ll ship the React Native app and shape what advanced prevention feels like in someone’s pocket. 1. Plugged into the Alan ecosystem. Precision is uniquely powerful inside Alan. Connected to Mo (AI health companion), Play (engagement), Clinic (teleconsultation), and Shop, the experience compounds in ways no standalone competitor can match. You’ll build the connective tissue: handoffs to teleconsultation, specialist referrals, shared member context across products etc. 1. International expansion. Being the European reference for advanced prevention by 2030 means shipping across France, Spain, Belgium, Canada, and beyond. You’ll build the systems that let us launch in a new market quickly, from lab partner integrations to languages and localized pricing. The impact Millions of healthier people. You start with Alan's 1M+ members from day one, with a clear path to many millions more across Europe. What you ship will measurably change how they read their bodies, how they sleep, how they eat, and how many healthy years they have ahead of them. You sit at the frontier of preventive health in Europe. Most healthcare reacts to symptoms. Alan Precision is the bet that could shift that, at scale. Your code is what determines whether someone catches a problem ten years early or ten years too late. Outcomes you can actually feel. You’ll see real lives change with what you ship: members with more energy, sleeping better, eating differently, getting more healthy years. Few products give you that kind of feedback loop. We experienced it first hand when building ARO. Why this role is special True 0‑to‑1, in a position no one else holds. All the autonomy and pace of a startup, none of the cold‑start. Alan is one of the very few players in Europe combining insurance, healthcare delivery, and a 1M+ member base in a single product, and that's the lever Alan Precision uses to go after a real shot at being the European reference for advanced prevention by 2030. You’ll be on that bet from the ground floor, alongside the team that founded ARO before the acquisition. Extreme ownership. Small crew, broad surface, fast feedback loops. The features you ship on Monday are in members’ hands by the end of the week, and you own them end‑to‑end: design, code, rollout, iteration. A team you’ll actually learn from. You’ll work daily with Gaspard (Product), Charles (Tech), Maxime (Medical Lead, ex‑Stanford prevention research), and the broader Alan engineering org when you need it. Healthcare that meets the bar. Real biology, validated by physicians, with the rigor of clinical research, not consumer biohacking. The work matters, and the standard is correspondingly high. The Stack Python/Flask, Typescript, React, React Native on the coding side. AWS, GCP, Kubernetes, PostgreSQL, Redis, Terraform/Terramate, Datadog, Cloudflare, GitHub Actions on the platform side, all in a monorepo. We deploy daily and believe in distributed ownership: you build it, you own it. Is it you we’re looking for? We’re a small crew with a very high bar. We need a few exceptional engineers who can carry significant scope from day one. Onboarding bandwidth will be limited, and the people we hire will set the standard for everyone who comes after. Experience we value 3+ years of engineering experience, with strong product‑eng instincts. You’re a generalist, comfortable jumping across mobile (React Native), web, backend (Python/Flask), and willing to learn whatever the product needs next. You’ve shipped AI‑powered features in production. LLMs, agents, retrieval‑augmented systems, evals, whatever the right tool was. You know what works once it hits real users, not just what looks impressive in a demo. You’ve shipped real products end‑to‑end, from idea, to code, to production, to iterating on what you learned from real users. You’re fluent in English (French is not required). Mindset we value Grit and bias for action. You make decisions with incomplete information, ship, learn, and iterate. You’d rather fix a bad call than avoid making one. You love 0‑to‑1. Ambiguity energises you. You're comfortable in a phase where the product, the codebase, and the playbook are all being written at the same time. You're product‑minded. You think about the member as much as you think about the code. You can read a metric, talk to a user, sketch a flow, and translate all of that into the right thing to build. You're high‑ownership. You don't wait for a ticket. You spot the gap, propose, ship, and follow through. The mission matters to you. Bonus points if you already care about longevity, prevention, or healthspan. Even more bonus points if you've been tracking your own biomarkers, or tinkering with your own protocol long before this job posting. You build with AI, with judgment. AI is part of how you ship: you use it across the dev cycle (designing, coding, reviewing, debugging) to compound your output. But you're not a vibe coder. You read what the model produces, push back when it's wrong, and own everything that ends up in production. The bar for the code stays the same whether you typed it or generated it. For this opportunity we are aiming to hire above C1 level range. But above all, we are looking for high potential and curiosity: make sure to show us this when you apply! Everything else is a bonus. The Engineering team In our engineering team, we build the infrastructure, interfaces, and applications to provide first‑class service to our members, health professionals, and even ourselves! Being an engineer at Alan means joining a team of talented, committed and passionate engineers, with a lot of product interaction. We move fast, with a lot of ownership, and are proud to tackle big problems! Our process is very simple: those who make product decisions are the same ones who build them. Our stack is React, Python/Flask, PostgreSQL in a monorepo. If you are not familiar with this stack but are a keen learner, it is totally fine. We deploy daily and believe in distributed ownership - you build it, you own it. How we work Location : You must be legally eligible to work in France, Belgium, or Spain. Remote work : We offer remote work flexibility, but we value in‑person collaboration. We are looking for people who want to help people live in good health to 100 while helping employers turn health benefits from a cost center into their most valuable investment. Important note: we hire people, not roles. If you're excited about this opportunity but don't check every box, we’d love to hear from you. Everyone, no matter how underrepresented, should feel free to apply, as it can only bring learnings or success. If you identify yourself as a woman : Did you know that research shows women often apply only when meeting 100% of requirements? Remember, this is just a guide, not a checklist. We'll be thrilled to receive your application! You want to know more about Alan? Perks & Benefits: Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high‑quality time with co‑workers. A strong culture: People joining Alan are often surprised and delighted by our innovative working method. We have a set of cultural values that guide our approach to work #J-18808-Ljbffr

Since 2009, Lengow has been the indispensable e-commerce platform for multi‑channel expansion in the European market: marketplaces, price comparison websites, affiliate marketing, display ad retargeting, social media, etc. Our Data team Join a dynamic Tech, Data & Product team of 50 professionals with diverse expertise. You’ll report to the Head of Data and work closely with our Tech, Product, and business teams. The Data Team is a key driver of innovation at Lengow. From enabling access to insights for employees to creating custom data products for clients, our mission is to transform raw data into business impact. We’re expanding our scope and shaping the future of data at Lengow. What the Data team does Empower business decisions with relevant insights and accessible data tools Guide product development through data‑driven features, metrics, and insights Manage and optimize custom data products for clients Enhance our data stack and tools for scalability, reliability, and performance Cultivate a data‑first culture by translating business needs into actionable insights Your mission We are seeking a Senior Analytics Engineer — Data Modeling & Visualization to strengthen the Data Team’s semantic modeling, metrics, and dashboarding capabilities. With access to vast data — thousands of catalogs, millions of products, and billions of entries scraped from e‑commerce websites — you’ll help transform complex data into reliable models, clear metrics, and useful dashboards for internal and customer‑facing data products. This role owns the Data Team’s semantic and visualization layer: business‑facing data models, metric definitions, dashboards, validation rules, and documentation. You will work closely with the Product Manager, who owns Product‑side framing, prioritization, stakeholder alignment, and business acceptance. Your role is to translate Product and business needs into reliable models, clear KPIs, useful dashboards, and maintainable data products. This is a senior technical role at the intersection of analytics engineering, data modeling, and data visualization. It is not a Product Manager role or a pure Data Engineering role. It is also not focused on ad hoc reporting: requests should be turned into reusable, maintainable data assets whenever they create recurring value. Your key responsibilities: Own the semantic and visualization layer of Lengow’s internal and customer‑facing data products Define and document KPIs, dimensions, facts, grains, filters, assumptions, and business rules Design reusable analytical models and semantic layers across dashboards and data products Build and improve dashboards in Looker Studio that are clear, useful, performant, and decision‑oriented Transform Product and business requirements into modeled datasets, dashboard specifications, validation rules, and documentation Write advanced SQL transformations and contribute to dbt workflows Collaborate with Senior Data Engineers on upstream data quality, data contracts, performance, reliability, and maintainability Challenge unclear metric definitions, incomplete acceptance criteria, misleading visualizations, and one‑off requests that should become reusable data products Communicate assumptions, limitations, edge cases, feasibility, risks, and trade‑offs clearly to technical and non‑technical stakeholders Recruitment Process Pre‑interview: Chat with Alexandre, Head of People (30') Team interview: Meet Sebastien (VP Data) and team members (60') Final interview: Present a technical case to Sebastien and Olivier (Chief Product and Technology Officer) (60') Requirements We’re looking for a senior data professional who combines technical rigor, strong data modeling skills, visualization expertise, and business understanding. You should be able to understand a business question, challenge vague definitions, design the right analytical model, and deliver a dashboard or data product that can be trusted over time. Here’s what you bring to the table: Experience: 5+ years in analytics engineering, data visualization engineering, BI engineering, data engineering, or a similar data role Data modeling: strong understanding of facts, dimensions, grains, aggregations, metric definitions, semantic consistency, and business rules Data visualization: proven ability to design dashboards that are not only visually clear, but useful for real decisions Engineering fluency: advanced SQL, strong analytical rigor, and good understanding of data quality, lineage, testing, and transformation workflows Collaboration: ability to work with Product, business stakeholders, and Senior Data Engineers without becoming a substitute Product Manager or a support desk Mindset: autonomous, structured, constructive, and able to push back when definitions, requirements, or implementation choices are unclear or unsafe Tools & tech: experience with SQL, BigQuery, Google Cloud Platform, dbt, Airflow, Cube.js, Looker Studio, Power BI, MariaDB, and PostgreSQL. Familiarity with ETL/ELT tools such as Talend or Apache NiFi is a plus in our current context We value your ideas and welcome recommendations on tools, modeling practices, visualization standards, and data product quality. Bonus points if you: Know and are passionate about web, e‑commerce, marketplaces, retail, SaaS, or product analytics Have worked on customer‑facing dashboards or data products Have experience with semantic layers, metrics layers, or governed KPI frameworks Have experience with data contracts or data quality frameworks Have strong UX instincts for data products and dashboards What success looks like Success will be evaluated through the quality, reliability, adoption, and maintainability of internal and customer‑facing data products. Examples of successful outcomes include: Critical KPIs have clear definitions, grains, assumptions, and validation rules Dashboards are trusted, documented, actively used, and decision‑oriented Dashboard logic is implemented in reusable modeled datasets instead of duplicated across reports Stakeholders understand metric behavior, limitations, and edge cases Product/Data collaboration with the Product Manager is structured and repeatable BI assets meet agreed standards for readability, performance, maintainability, and business usefulness Technical environment Our environment includes SQL, BigQuery, Google Cloud Platform, Cube.js, dbt, Airflow, Looker Studio, Power BI, MariaDB, PostgreSQL, Talend, Apache NiFi, and internal and customer‑facing analytics use cases. Benefits Ticket restaurant 8 euros by day Malakoff Humanis Private insurance & Prevoyance 3 Remote days per week Flexible hours Bike mileage allowances or 50% of transportation tickets Remote allowances Professional events (Devoxx, Meetup ...) and regular internal cohesion Weekly Happy Break on Thursday Evening at the office with food and beverage Syntec forfait jours with RTT - 218 annual working days, ie minimum 9 days off on top of 5 weeks legal paid leave Choose your laptop OS. You can work on MacOS, Windows or Linux #J-18808-Ljbffr

About seQura seQura provides innovative, flexible and easy‑to‑use payment technologies that help merchants acquire, convert and retain more customers. We make a difference in sales performance by tailoring our solutions to different sectors, to address their unique pain points and deliver superior results in Retail, Education, Eyewear, Repairs and Travel. We also empower smart shopping to consumers who seek more value, convenience, and flexibility in their shopping, with new payment experiences that allow them to save, access interest‑free credit, or pay in small, comfortable installments of up to 24 months. Born in Barcelona, seQura is a privately‑owned fintech, currently expanding throughout southern Europe and Latin America, growing above 50% CAGR. Over 6000 businesses, almost 3 million shoppers, and almost 400 employees continue to rate us as one of the most loved and trusted fintechs out there, with an NPS of 87%, a Trustpilot rating of 4.7/5, and a Glassdoor rating of 4.1/5. About the role Data trust is becoming one of the most important challenges in the era of AI analytics. Self‑service analytics has always required strong foundations. Now, with the rise of LLMs and AI agents, the opportunity is bigger, but so is the risk. Pointing an AI assistant at a warehouse can create a false sense of precision if the underlying data model, definitions, documentation and ownership are not clear. As a Data & AI Governance Specialist at seQura, you will help build the foundations that allow teams to find, trust, understand and apply data and AI safely, autonomously and responsibly. This is not a policy‑only role. At seQura, we treat governance as a product capability, not as a bureaucratic layer. You will partner directly with the Data Governance Lead to build practical systems, documentation, quality frameworks and self‑service tooling that make good data and AI usage easier for everyone. You will work at the intersection of business, data, AI, legal, privacy and security teams, translating complex requirements into clear workflows, usable standards and technical solutions. What challenges you’ll be solving Help seQura scale self‑service analytics with AI by making sure business questions can be mapped to the right, up‑to‑date entities in the data model. Collaborate with business domain teams to define what “production‑ready” means for key dashboards, metrics, datasets and AI assets. Partner with Core Data, Data Science & AI, Business and Engineering teams to implement automated data quality checks across pipelines, dashboards, ML workflows and AI use cases. Equip Domain Pods with self‑service tooling so they can test, certify and maintain their own data and AI assets against quality and risk standards. Monitor data health and model performance over time, tracking quality metrics, flagging anomalies and supporting root‑cause analysis when quality or drift incidents affect business operations. Manage and improve the data catalog, AI model inventory and model registry so assets are organized, searchable, well documented and easy to understand. Collaborate with domain stewards and analysts to maintain a unified data dictionary, clear business metric definitions and AI model documentation. Map and update data and model lineage from raw source systems through transformations to downstream BI reports, ML features and LLM applications. Identify, flag and deprecate stale or redundant metrics, datasets and models, keeping the ecosystem lean, trusted and useful. Support the rollout of seQura’s data and AI ownership framework across business domain pods. Help Data Champions and AI Owners succeed by giving them clear templates, tooling and documentation rather than relying on manual approval gates. Act as the operational bridge between Legal, Privacy, Security and Data & AI teams to support GDPR, SOC 2 and EU AI Act readiness. Support AI risk assessments and classification workflows, including low‑risk and high‑risk AI use cases under EU AI Act criteria. Implement and document practical guardrails for AI transparency, human oversight, technical documentation, access control, PII masking and bias detection or mitigation. Conduct routine audits of data and AI usage, maintaining audit‑ready records of data processing and model deployment activities. Champion a culture where quality and responsible AI are collective responsibilities, supported by automation, ownership and practical enablement. About the Data team Team mission To amplify seQura’s value by enabling anyone to autonomously find, trust, understand and apply data and AI to make smarter decisions. What we own The Data & AI organization is structured around three verticals: Data Science & AI. Data Analytics Enablement & Governance. Data Platform. You will join the Data & AI Governance vertical, working closely with the Data Governance Lead, the wider Data & AI team and business stakeholders across seQura. This team owns the foundations that make self‑service analytics and responsible AI possible: metadata, documentation, ownership, quality standards, lineage, data and model discoverability, access governance and AI risk workflows. Who we work with You will collaborate closely with: Core Data. Data Science & AI. Data Platform. Legal and Privacy. Security. Business domain teams such as Finance, Risk and Payments. Domain Data Champions and AI Owners. How we work We treat governance as an enablement layer, not a blocker. We build self‑service systems rather than manual approval processes. We care about data trust, not just data availability. We work with domain experts to turn business knowledge into reusable, governed assets. We use automation, documentation and clear ownership to help teams move safely without slowing them down. We think about AI governance as a practical operating model, not just a compliance exercise. What to expect in the next 90 days Month 1 You will onboard into seQura’s Data & AI organization, understand how our data model, access groups and governance practices work today, and start researching the semantic layer foundations needed to support reliable AI‑assisted analytics. Month 2 You will start working on metadata and ontology graph initiatives, helping connect business concepts to the right data entities, definitions and ownership structures. Month 3 You will contribute to warehouse optimization and access marketplace initiatives, helping make governed data assets easier to discover, request, use and maintain across teams. Tech stack & environment Our current environment includes SQL, Amazon Redshift, OpenMetadata, Metabase, Omni and Claude. You will work with tools and systems that support data cataloging, metadata management, self‑service analytics, AI‑assisted workflows, data quality, access governance and documentation. You do not need to have used every tool in our stack before, but you should be comfortable working with data and technical teams to turn governance requirements into real systems. What you’ll need Must have: 2 to 5 years of hands‑on experience in Data Governance, Data Quality Engineering, Analytics Engineering, AI Operations or a related area. Experience working with data teams to implement policies, standards or governance practices in real systems. Experience with automated data quality tests. Experience operating modern data catalog, metadata or documentation tools. Working knowledge of foundational data privacy requirements such as GDPR and SOC 2. Ability to translate business, legal or privacy requirements into practical solutions with technical teams. Strong communication skills across business stakeholders, technical data teams and legal or privacy teams. Strong analytical ability to trace data quality issues back through pipelines, models or workflows and support root‑cause resolution. A self‑service mindset: you prefer clear standards, automation and enablement over manual approval gates. Professional working proficiency in English and Spanish. Nice to have: Practical understanding of AI and ML lifecycles. Experience with Generative AI application patterns. Understanding of model drift, AI cataloging, model inventories or model registries. Familiarity with AI bias detection or mitigation practices. Working knowledge of foundational AI privacy and regulatory requirements, including the EU AI Act. Experience with OpenMetadata, Metabase, Omni, Redshift, Claude or similar tools. Experience supporting semantic layer, ontology graph, access marketplace or data ownership initiatives. What we offer We have a strong and sustainable foundation, where we provide a secure and reliable workplace. You have the freedom and trust to make the best contribution possible. One of our most valued strengths by our employees is our fellowship and supportive culture, which fosters a sense of belonging by working closely with our values. With us, you will have challenging projects to work on and push your skills and knowledge. In addition, we are very proud of the unique office we have, which offers a comfortable and inspiring environment to work in with everything you need. 23 vacation days + 2 days of free disposal per year. Flexible compensation plan for transportation, restaurants, and kindergarten with Cobee. Health insurance discounts Flexible working hours. A personal budget for professional development. Office workshops and meet‑ups to encourage community participation and career growth. Hybrid work from Barcelona Moreover, we have a Wellness Program that embraces a holistic approach by covering 6 areas (occupational, physical, financial, emotional, social, and environmental consciousness). Each area will include a variety of activities, and you’ll be able to choose from 34 different activities that best meet your needs to configure a plan that best works for you. We promote equal opportunity to all, regardless of age, color, gender identity, medical condition, physical or mental disability, race, religion, sexual orientation, or any other characteristic. We have an inclusive environment, and respect is above all. #J-18808-Ljbffr

About The Team Bioma • probiotic supplements designed to support gut health, energy levels, and focus by replenishing good gut bacteria. The analytics team builds and maintains the analytics engineering layer that powers reporting, experimentation, and decision-making across the company. The team focuses on creating clean, scalable data models, well-defined metrics, and reliable tracking foundations using dbt and BigQuery. Get ready to Build and maintain a scalable analytics engineering layer in dbt, including clean models, marts, shared dimensions, and metric-ready tables Improve tracking and instrumentation across domains, and identify new opportunities where data can add value. Implement and monitor data quality to ensure accuracy, completeness, and consistency Build data products when needed (e.g., marketing performance datasets, customer lifecycle models, cohorting, experimentation-ready tables) Continuously improve workflows with best practices (naming conventions, data modeling standards, data quality testing, templates, and CI/CD) Communicate clearly with cross-functional teams and non-technical stakeholders Support team members in designing, developing, and implementing data warehousing, reporting, and analytics solutions We expect you to Have 3+ years of experience in analytics engineering, BI engineering, or data engineering, with a strong focus on data modeling Have strong SQL skills and use Python for analytics workflows and automation Have hands-on experience with dbt, BigQuery, Looker, and CI/CD practices Have experience with marketing and website tracking concepts (events, attribution, funnels) — a plus Have strong problem-solving and critical thinking skills: able to challenge unclear requests, design robust metrics, and communicate trade-offs Have experience setting up or scaling data quality practices Be able to work with stakeholders, write clear documentation, and align teams on definitions Have a curious, growth-oriented mindset, and be comfortable learning new tools and approaches Be fluent in English, with the ability to explain technical and business issues clearly Salary Gross salary range is 4200 - 6000 EUR/month. Location We have plenty of amazing workspaces you can choose from: our awesome headquarters in Vilnius, and super cool hubs in Klaipėda and Riga! For Vilnius: 4 days onsite, 1 flexible day remote. Meanwhile, in Kaunas: onsite, hybrid, or remote options are available depending on the role. Speaking of perks: Own your wellness Stay sharp and well in your own way – health insurance (after probation), on-site physiotherapist, office gym, and fitness classes keep you moving. Plus 7 extra days off, 3 for weddings, hybrid work, and the freedom to work 2 months from anywhere in the world. Boost your daily life Every breakthrough needs a spark and our daily setup reflects that. Pet-friendly office, fresh breakfasts, hot lunches, drawers and fridges stocked with snacks and food – for a quick bite or even a team-cooked meal together. Rooftop and cellar events keep things lively, while 10 social clubs give space to dive into passions and try new things. Add a public transport card for Vilnius and Perks.lt perks for smoother days. Shape your growth path Builders never stop learning. Coaching, mentorship, training, conferences, online courses, subscriptions, books – you’ve got a €1100 yearly budget to fuel personal or team growth. You pick the path – we’ll back you all the way. Drive global impact This is where ambition scales. Build impact across 30+ brands worldwide. Launch bold projects. Even step in as a co-founder – we reward those who push further. And if you bring in more great people, you get €1500 for every successful referral. additional conditions apply based on your residence location. #J-18808-Ljbffr

Sales Manager - Spain at CUBRO Reports to: Head of Sales (works closely with Head of Sales Ops) CUBRO makes beautiful, well‑crafted kitchen fronts and bathrooms that work with modular systems (think IKEA‑compatible). We’re a design‑driven scale‑up: fast, hands‑on and growing. As we professionalise our commercial organisation, we need leaders who can combine commercial hunger with operational rigour and who care deeply about how design and delivery meet the customer. Role Summary We’re hiring a Team Lead — Sales (Spain) to lead and grow our Spain sales team. This role is a hands‑on people leader: you’ll coach Account Managers and Pre‑Sales, enforce best‑in‑class sales & hand‑off processes, drive onboarding and training, and make sure the commercial operation runs smoothly in partnership with Sales Ops and Design. If you love mentoring, building scalable sales routines, and helping a team win consistently while preserving a high‑quality customer experience – this is for you. As we scale, we expect our Sales Team Leads to champion the use of technology – including AI‑assisted tools – to improve efficiency, decision‑making and sales quality. You will play a key role in driving adoption of CRM best practices and evolving our prompting workflows in collaboration with Sales Ops. Key Responsibilities Lead a team of Account Managers / Pre‑Sales in Spain: hiring, 1:1s, performance reviews, career development and morale. Own day‑to‑day commercial execution: weekly forecasting, pipeline hygiene, quota delivery, and CRM discipline (HubSpot). Design and run the sales onboarding & training program (with Product Training Lead) so new hires ramp fast and consistently. Coach the team on consultative selling, commercial design conversations, upsell, and closing complex projects. Partner closely with Head of Sales Ops to ensure reports, dashboards and automation are actionable and adopted. Work cross‑functionally with Design, Pre‑Production and Customer Success to defend customer experience while hitting numbers. Surface and resolve blockers: pricing friction, lead quality issues, tooling gaps, and compensation questions. Be a cultural champion: preserve the craftsmanship and customer‑first mindset while pushing for commercial scale. Promote and evolve the use of AI‑powered tools (e.g., prompting frameworks, Copilot insights) to improve team productivity and decision‑making. Ensure the team adopts technology efficiently – from CRM workflows to AI‑assisted routines – in partnership with Sales Ops. Must‑Have Qualifications 3+ years leading a commercial team (Team Lead / Head of Sales / Sales Manager) in B2B/B2C contexts. Proven track record building processes, onboarding and running structured sales rhythms. Deep experience with a CRM (HubSpot strongly preferred) – building reports, automations and enabling adoption. Excellent coach: you enjoy 1:1s, role plays, feedback and progressive performance management. Operational mindset – you can both define strategy and get into the “barro” to unblock execution. Data‑driven and comfortable with KPIs, forecast discipline and SLAs. Empathetic leadership: able to protect and scale a collaborative, design‑aware culture. Comfort working with AI‑assisted tools (prompting, automation, insight generation) and a strong appetite for leveraging technology to scale teams. Strong technological fluency: able to drive CRM adoption, use automation tools, and collaborate with Sales Ops to improve efficiency. Nice‑to‑Have Experience in home / furniture / kitchens / interior design or with modular systems (IKEA ecosystem). Experience working with Pre‑Sales / Sales Engineering or close collaboration with Product/Design teams. Familiarity with training design or experience running internal academies. KPIs & Success Metrics Time to autonomy for new AMs (target: reduce to 6–8 weeks). % of leads with a “next step” within 7 days. Handoff quality: % of projects returned from Design for clarification (target: reduce). eNPS / team satisfaction and retention of top performers. CRM hygiene rates: % records complete, pipeline accuracy. 30/60/90 Day Plan (what success looks like) 30 days — Understand & stabilise Meet 1:1 with each AM + Pre‑Sales; audit pipeline & CRM hygiene. Deliver a 1‑page diagnosis with 3 quick wins to remove friction. Run first coaching session & short skill check for the team. Implement 1–2 process improvements (handoff, lead routing, Copilot insights). Launch a short onboarding checklist for new hires; run training session. Show measurable improvement in lead handling / next‑step metric. Deliver playbook for Sales Spain (processes, KPIs, coaching calendar). Team hits a meaningful step toward quarterly target and shows improved ramp rates. Positive pulse results from team; harmony with Sales Ops and Design. What we Offer A chance to lead and shape the commercial engine of a design‑driven scale‑up. Hybrid work, flexible hours and a collaborative culture. Competitive package (salary + variable) and real ownership / growth opportunity. Close mentorship from founders and cross‑functional exposure (Design, Product, Ops). Additional Details Seniority level: Mid‑Senior level Employment type: Full‑time Job function: Sales and Business Development Industries: Furniture and Home Furnishings Manufacturing #J-18808-Ljbffr

Verisure, operating under two brand names (Securitas Direct & Verisure) is seeking a talented, innovative, passionate Senior Quality Assurance professional. The role will part of a growing and talented Technology team. Do you want to have an impact every day by making people safe and bringing them peace of mind? Interested in being part of a dedicated, passionate team which believes that security is a human right? Looking to join a company where innovation and technology are at the heart of its solutions? We now have the opportunity for a Quality Intelligence Analyst to join the Technology HUB in Alicante, Spain. We are looking for a highly driven, talented and experienced Engineer who can transform data and metrics into actionable insights to drive quality decisions and enable improvements and optimization in the teams. Someone ready to become an application owner. Responsibilities Will Include Analyze quality metrics (defects, coverage, flakiness, MTTR, pipelines) and detect relevant patterns. Create clear and actionable dashboards in Power BI with practical insights for IT and the quality community. Build storytelling based on metrics to understand the impact of quality and efficiency. Translate findings into recommendations and concrete actions to improve quality processes and practices. Collaborate with functional QA, seniors, and service management to contextualize results. Identify new metrics based on findings and efficiency needs. Support the construction of clear and measurable ROIs for quality initiatives. Location Working under a Hybrid Model (3 days in the office), you’ll work from home and at our Alicante office. Candidate profile Experiences and Qualifications We see this role as critical for the achievement of Verisure’s growth and organizational transformation goals. As result, we are looking for a high potential / top performer individual who will combine great time management skills as well as an analytical mind-set. The ideal candidate will be a strategic solution provider as well as operational enabler. Required Qualifications Mid–Senior (5–8 years) of provable experience in IT. High level of English (B2 or higher). Experience in Node.js for ETL data manipulation. Experience with Power BI for dashboards and metric visualization. Knowledge of MongoDB and queries for data extraction and transformation. Experience in QA and software quality metrics. Intermediate knowledge of AI applied to metric construction and decision making. Intermediate Spanish (conversational level) Will Be a Plus Knowledge in other data analysis languages (Python, R, advanced SQL). Experience with other observability and metrics tools. Experience in transversal software environments and strategic QA. Knowledge in data engineering applied to quality. Competencies Initiative and ability to work in a team. Proactivity and autonomy. Result Oriented. Customer oriented. Good communication skills to present complex insights clearly and effectively. Strong Fit With Our Company DNA Passionate in Everything We Do: Our people have a sense of energy that is unmistakable, one that drives us to delight our customers and focus on creating impact quickly. Committed to Making a Difference: When we say we will do something; we deliver with excellence. We are accountable, focused and operate with discipline. Always Innovating: We believe that Innovation can be big or small; it’s a continuous state of mind that inspires us to think differently and always make things better. Winning as a Team: Our people know that by leveraging one another’s strengths, investing in and developing our team’s capability and by collaborating well, we will win. With Trust & Responsibility: Operating with integrity is core to our success. We are humble, honest and value deep mastery and expertise. We do the right thing, always. Verisure Innovation is an equal-opportunity employer and welcomes applicants from diverse backgrounds. We are an international company with offices and colleagues in multiple countries. About Verisure Verisure is the leading provider of professionally monitored security services in Europe and Latin America. As of 31 December 2025, Verisure provides premium monitored alarm services to a portfolio of ~6.2 million families and small businesses across 18 countries, with a team of more than 30,000 colleagues. For the year ended 31 December 2025, Verisure delivered a strong financial performance: Total Revenue of €3,745 million, Adjusted EBITDA of €1,708 million (46% margin) and Adjusted EBIT of €953 million (25% margin). This performance builds on the Company’s track record of resilient, uninterrupted growth over the long-term and highlights the strength of its recurring revenue model. Verisure is majority owned by Hellman & Friedman LLC, a leading private equity investment firm. Beginning October 8th 2025, Verisure is listed in the Nasdaq Stockholm Stock Exchange. With €3.1 billion raised in primary proceeds, this was the largest IPO in Europe since 2022 and the largest in Sweden in over 25 years. #J-18808-Ljbffr

Social Discovery Group (SDG) is a group of social discovery companies. SDG solves the problems of loneliness, isolation, and disconnection - transforming virtual intimacy into the new normal. SDG's products redefine the way people interact and connect with one another. Puede obtener más detalles sobre la naturaleza de esta vacante y lo que se espera de los solicitantes leyendo la información a continuación. Our portfolio includes social entertainment platforms designed to connect people online across different cultures and regions of the world. We bring together a team of like-minded people and IT professionals who specialize in creating and developing globally impactful social discovery products. Our international team of digital nomads works remotely from all over the world. We're proud to be a two-time "Great Place to Work" winner (USA & Japan, 2024-2025) and a Top-5 Company for Work-From-Anywhere Jobs (FlexJobs, 2025). We are looking for Senior Product Analyst to join our main product team. Your main tasks will be: 1. Metrics Ownership Maintain and evolve the metrics tree Validate metrics and verify that dashboards are built correctly, write clear specs for Data Engineering Own a single, locked definition for each metric (no two ways of calculating the same thing) Decompose the north-star metric down to the level each team can actually influence Run ad-hoc investigations into metric fluctuations Work directly with functional leads 1. Research Ad-hoc investigation of metric fluctuations and anomalies Find and analyze bottlenecks: conversion drop-offs and segmentation Validate product hypotheses Data mining for non-obvious patterns and growth opportunities Prioritize problems jointly with Product, ranked by potential impact on the north-star metric 1. A/B Testing Test design calculations: sample size, MDE, duration, randomization split Verify split correctness and run sanity checks before reading any results Report results together with guardrail metrics Define data-tracking requirements (which events must be added) Maintain the test archive Deliver actionable recommendations from each experiment Proactively surface data-quality issues before decisions get built on that data We expect from you: Received a mathematical or technical higher education; Possess knowledge, experience in applying the methods of mathematical statistics and probability theory; You are proficient in data extraction, processing, analysis and visualization tools (MS SQL, Python, Excel); Have deep experience in running and analyzing A/B tests; Have deep knowledge of marketing metrics, experienced in using them. What do we offer: REMOTE OPPORTUNITY to work full-time; The initial pay level or pay range for this role will be shared with candidates during the recruitment process and before the commencement of employment; Vacation 28 calendar days per year; 7 wellness days per year (time off) that can be used to deal with household issues, to lie down and recover without taking sick leave; Bonuses up to $5000 for recommending successful applicants for positions in the company; 50% payment for professional training, international conferences, and meetings; Corporate discount for English lessons; Health benefits. According to the paychecks, if you are not eligible for corporate medical insurance, the company will compensate you with up to $ 1,000 gross per year per employee. This can be spent on self-purchase of health insurance or on doctor's fees for yourself and close relatives (spouse, children); Workplace organization. The company provides all employees with an equipped workplace and all the necessary equipment (table, armchair, wifi, etc.) in our offices or co-working locations. In the other locations, the company provides reimbursement of workplace costs up to $ 1000 gross once every 3 years, according to the paychecks. This money can be spent on the rent of the co-working room, on equipping the working place at home (desk, chair, Internet, etc.) during those 3 years; Internal gamified gratitude system: receive bonuses from colleagues and exchange them for our merchandise, team building activities, massage certificates, etc. Sounds good? Hay opciones de teletrabajo/trabajo desde casa disponibles para este puesto. #J-18808-Ljbffr

We are LETMINO, the tech company behind the continuous learning platform that integrates into your work environment and daily activities. We help professionals make better use of their time by selecting and contextualizing content, providing precise answers at the exact moment learning needs arise. We turn available time in people's schedules into immediately applicable knowledge, driving talent development at each organization's own pace.Our culture is built around five values: Bold & Unafraid, Ever-Evolving, Fluid, Tech for Humans, and Radical & Real. In practice, this means something quite simple: daring to speak up and propose new ideas, continuously learning, simplifying, using technology with purpose, and speaking openly to build better solutions together.¿Do you want to join the Team? We are looking for a Head of BI & Data Engineering to lead our data strategy, infrastructure, and analytics team. This role will design the organizational data roadmap, ensuring that our data architecture is scalable, our metrics are consistent, and our insights actively drive high-level executive decision-makingWhat you will do at LETMINO:- Lead, mentor, and manage a team of data analysts and data engineers, fostering a culture of continuous learning, high performance, and technical excellence.- Executive Decision Support: Translate complex data structures into high-impact executive reports and insights to influence strategic business decisions and area-level roadmaps.- Data Governance & Metric Consistency: Establish and oversee data governance frameworks to guarantee absolute consistency, integrity, and alignment of key business metrics across the entire organization.- Data pipelines, Architecture & Efficiency Frameworks: Define, optimize, and enforce scalable frameworks for data efficiency, storage, and infrastructure-as-code across our data pipelines.- Advanced Data Engineering Supervision: Oversee the design, orchestration, and documentation of advanced ETL/ELT pipelines and data models within AWS and Google Cloud environments.- Cross-functional Collaboration: Partner with Business, Product, and Engineering leaders to align data infrastructure with product features, platform KPIs, and strategic business goals.Requirements :- Solid experience (6+ years) in Data Analytics and Data Engineering, with at least 2-3 years leading and managing data teams in fast-paced or SaaS environments.- Strategic & Analytical Vision: Strong ability to connect data initiatives with business outcomes, building analytical frameworks that drive organizational efficiency.- Technical Background: Deep understanding of data architecture, infrastructure-as-code, and pipeline optimization. Advanced knowledge of SQL and Python. Hand-on work will be required.- Cloud & ETL Expertise: Solid experience overseeing ETL/ELT processes and data warehousing in cloud environments, specifically AWS and/or Google Cloud.- Advanced skills in data storytelling and communicating technical concepts, data insights, and findings clearly to C-level executives and non-technical stakeholders.- Fluent in English (oral and written).- Based in Madrid or nearby, as the position follows a semi-remote model with regular in-office collaboration.Nice to have:- Experience setting and scaling data and engineering standards from scratch within an EdTech or B2B SaaS company.- Familiarity with modern data stacks, and advanced data security compliance.- Proactive mindset for process automation and continuous optimization of cloud costs.- Fluent in Portuguese will be a plusWhy LETMINO?Working at LETMINO is about being part of a lifelong learning culture, where everyone has the possibility to take on challenges and participate in the growth of the company.But we also offer:- Be part of an international, creative and ambitious environment, where every person has a real impact and actively contributes to the company's growth.- Unlimited learning with LETMINOFY, our own learning platform with over 3 million pieces of content in all formats (books, audiobooks, videos, courses, movies and learning experiences).- A flexible work model with remote options, allowing you to organize your schedule in a way that truly works for you.- Work 100% remotely during July and August with shorter summer hours (8:00 -- 15:00) for a better work-life balance.- Your birthday off, so you can celebrate it your way.- Flexible compensation plans, tailored to your needs: meals, transportation, childcare, training and private health insurance.- Access to an emotional wellbeing app, with professional support to take care of your mental health.- Continuous professional growth, with real internal development opportunities and ongoing learning.- Team, culture and wellness events, including sports activities, to connect, collaborate and celebrate achievements together....And more!Sounds like a mission made for you? Then we need to talk!- LETMINO is an entity committed to Diversity and Inclusion, which is why it accepts the presentation of candidatures without bias.#J-18808-Ljbffr

Quantum Metric, a remote-first analytics company, is seeking an Enterprise Solutions Engineer (EMEA) to act as a trusted technical advisor for complex, high-value sales across the region.

Un negocio de alimentación en Barcelona busca un Jefe/a de Cocina para liderar su equipo en un entorno dinámico.Se requiere experiencia en cocina sin gluten y en dark kitchens, así como habilidades en la gestión de equipos y control de inventario.Ofrecemos un salario competitivo y oportunidades

Quantum Metric will only provide offers of employment and all communications regarding employment from an official @quantummetric. In this role, you will guide the technical strategy for enterprise deals, aligning Quantum Metric’s platform with strategic business initiatives. As a leader in digita

En M2 Gluten Free buscamos un Jefe/a de Cocina altamente capacitado y motivado para liderar nuestro restaurante especializado en comida 100% sin gluten.Somos un negocio con una oferta gastronómica de street food y un alto volumen de ventas de delivery, por lo que buscamos un perfil que se adapte a