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Location: Belgrade, Serbia About Constructor Constructor is an international ecosystem spanning education, research, and technology. It includes Constructor University Bremen , Constructor Tech , Constructor Knowledge , and partner entities such as EBAC, working together to advance how knowledge is created, taught, and applied. Constructor Labs is the research arm of Constructor Knowledge, based at Campus Ring 1 in Bremen, Germany. Our work is organized around three units: Knowledge Labs, Cyber Labs and Science Labs. We apply computing, software and robotics research to make scientists, teachers and students more effective, working with institutional partners that include CERN, NUS, Carnegie Mellon and Fraunhofer. About the Role The purpose of this role is to position Constructor Labs , the applied research and innovation centre of Constructor Group, and to generate demand for its services to universities and enterprises: audit and consultancy, talent development, educational product development, platform implementation and integration, and research services. The Marketing Manager is the single point of contact for all marketing discussions and decisions at Constructor Labs, owns the messaging, plan, budget and results, and works hands-on while orchestrating Constructor’s shared team. Key Responsibilities Positioning, Messaging & Market Insight Own the positioning and messaging for each Constructor Labs service line, tailored to university leadership and to enterprise L&D, HR and R&D decision-makers. Turn research and education offerings into clear value propositions and sales materials: presentations, one-pagers, website copy and case studies (e.g. JetBrains, Acronis). Run market analysis of the higher-education, EdTech and research landscape: benchmark competitors and comparable providers, follow rankings, funding and policy trends, and identify new opportunities. Keep messaging consistent across all channels and materials used by business development and leadership. Success Metrics and KPIs: clear messaging per service line, sales materials in active use, market insights that inform priorities. Account-Based Marketing & Demand Generation Build and run account-based marketing programmes for priority university and enterprise accounts together with business development: account selection, research, tailored messaging and multi-channel plays. Plan and execute campaigns that generate qualified leads and build the funnel from initial awareness through lead capture and handover to business development. Work hands-on across channels (performance, website, LinkedIn and other social media, email) and test new ones to reach decision-makers at universities, research institutions and enterprises. Use Salesforce independently as a marketing user: manage campaigns, switch email journeys on and off or adjust them, and build basic reports. Identify and evaluate higher-education, scientific and industry events where Constructor Labs should take part as speaker, partner or sponsor, and coordinate participation with the events and PR teams. Success Metrics and KPIs: pipeline generated, qualified leads and engagement from target accounts, conversion rates, return on events. Planning, Budget & Orchestration Own the marketing plan and budget for Constructor Labs: allocate and control spend and take responsibility for the results. Orchestrate the shared marketing team (performance, web, social, CRM, design, PR and events): set priorities, briefs, timelines and deliverables, and deliver part of the work yourself. Act as the single point of contact for all marketing topics, working closely with researchers, business development and leadership to align marketing with commercial and research priorities. Set goals, targets and KPIs; track performance and report regularly to leadership. Accountability: plan delivered on time and within budget, KPI targets met, quality of collaboration with the shared team. Requirements Solid B2B marketing experience in research, higher education, EdTech or a related environment. Understanding of research and education is key for this role. A background in science or research: you understand how universities and scientists work, how research projects and publications come about and why they matter. Proven experience with account-based marketing, ideally selling services to universities or enterprises with long, multi-stakeholder sales cycles. A track record of personally executing demand generation campaigns and contributing to pipeline growth. Hands-on experience across key channels: performance marketing, websites (CMS, landing pages, basic SEO) and social media, enough to speak the same language as specialists and make basic changes yourself. Hands-on experience with Salesforce as a marketing user (required). Experience with other CRM and marketing automation tools is a plus. Experience owning a marketing plan and budget end to end. Strong writing skills and the ability to translate complex research and education services into clear, persuasive messaging. Strong market research and analytical skills, including competitor benchmarking, KPI setting and reporting. Good understanding of the higher-education, scientific and industry events landscape and how to assess speaking, partnership and sponsorship opportunities. Ownership mindset: you prioritise, take responsibility for deliverables and drive projects from planning through execution. Ability to work effectively in a matrix organisation with a shared team and diverse stakeholders. Fluent English (written and spoken) for an international environment. University degree; a PhD or other postgraduate research experience is a strong plus.

Location: Sofia, Bulgaria About Constructor Constructor is an international ecosystem spanning education, research, and technology. It includes Constructor University Bremen , Constructor Tech , Constructor Knowledge , and partner entities such as EBAC, working together to advance how knowledge is created, taught, and applied. Constructor Labs is the research arm of Constructor Knowledge, based at Campus Ring 1 in Bremen, Germany. Our work is organized around three units: Knowledge Labs, Cyber Labs and Science Labs. We apply computing, software and robotics research to make scientists, teachers and students more effective, working with institutional partners that include CERN, NUS, Carnegie Mellon and Fraunhofer. About the Role The purpose of this role is to position Constructor Labs , the applied research and innovation centre of Constructor Group, and to generate demand for its services to universities and enterprises: audit and consultancy, talent development, educational product development, platform implementation and integration, and research services. The Marketing Manager is the single point of contact for all marketing discussions and decisions at Constructor Labs, owns the messaging, plan, budget and results, and works hands-on while orchestrating Constructor’s shared team. Key Responsibilities Positioning, Messaging & Market Insight Own the positioning and messaging for each Constructor Labs service line, tailored to university leadership and to enterprise L&D, HR and R&D decision-makers. Turn research and education offerings into clear value propositions and sales materials: presentations, one-pagers, website copy and case studies (e.g. JetBrains, Acronis). Run market analysis of the higher-education, EdTech and research landscape: benchmark competitors and comparable providers, follow rankings, funding and policy trends, and identify new opportunities. Keep messaging consistent across all channels and materials used by business development and leadership. Success Metrics and KPIs: clear messaging per service line, sales materials in active use, market insights that inform priorities. Account-Based Marketing & Demand Generation Build and run account-based marketing programmes for priority university and enterprise accounts together with business development: account selection, research, tailored messaging and multi-channel plays. Plan and execute campaigns that generate qualified leads and build the funnel from initial awareness through lead capture and handover to business development. Work hands-on across channels (performance, website, LinkedIn and other social media, email) and test new ones to reach decision-makers at universities, research institutions and enterprises. Use Salesforce independently as a marketing user: manage campaigns, switch email journeys on and off or adjust them, and build basic reports. Identify and evaluate higher-education, scientific and industry events where Constructor Labs should take part as speaker, partner or sponsor, and coordinate participation with the events and PR teams. Success Metrics and KPIs: pipeline generated, qualified leads and engagement from target accounts, conversion rates, return on events. Planning, Budget & Orchestration Own the marketing plan and budget for Constructor Labs: allocate and control spend and take responsibility for the results. Orchestrate the shared marketing team (performance, web, social, CRM, design, PR and events): set priorities, briefs, timelines and deliverables, and deliver part of the work yourself. Act as the single point of contact for all marketing topics, working closely with researchers, business development and leadership to align marketing with commercial and research priorities. Set goals, targets and KPIs; track performance and report regularly to leadership. Accountability: plan delivered on time and within budget, KPI targets met, quality of collaboration with the shared team. Requirements Solid B2B marketing experience in research, higher education, EdTech or a related environment. Understanding of research and education is key for this role. A background in science or research: you understand how universities and scientists work, how research projects and publications come about and why they matter. Proven experience with account-based marketing, ideally selling services to universities or enterprises with long, multi-stakeholder sales cycles. A track record of personally executing demand generation campaigns and contributing to pipeline growth. Hands-on experience across key channels: performance marketing, websites (CMS, landing pages, basic SEO) and social media, enough to speak the same language as specialists and make basic changes yourself. Hands-on experience with Salesforce as a marketing user (required). Experience with other CRM and marketing automation tools is a plus. Experience owning a marketing plan and budget end to end. Strong writing skills and the ability to translate complex research and education services into clear, persuasive messaging. Strong market research and analytical skills, including competitor benchmarking, KPI setting and reporting. Good understanding of the higher-education, scientific and industry events landscape and how to assess speaking, partnership and sponsorship opportunities. Ownership mindset: you prioritise, take responsibility for deliverables and drive projects from planning through execution. Ability to work effectively in a matrix organisation with a shared team and diverse stakeholders. Fluent English (written and spoken) for an international environment. University degree; a PhD or other postgraduate research experience is a strong plus.

Location: Germany About Constructor Constructor is an international ecosystem spanning education, research, and technology. It includes Constructor University Bremen , Constructor Tech , Constructor Knowledge , and partner entities such as EBAC, working together to advance how knowledge is created, taught, and applied. Constructor Labs is the research arm of Constructor Knowledge, based at Campus Ring 1 in Bremen, Germany. Our work is organized around three units: Knowledge Labs, Cyber Labs and Science Labs. We apply computing, software and robotics research to make scientists, teachers and students more effective, working with institutional partners that include CERN, NUS, Carnegie Mellon and Fraunhofer. About the Role The purpose of this role is to position Constructor Labs , the applied research and innovation centre of Constructor Group, and to generate demand for its services to universities and enterprises: audit and consultancy, talent development, educational product development, platform implementation and integration, and research services. The Marketing Manager is the single point of contact for all marketing discussions and decisions at Constructor Labs, owns the messaging, plan, budget and results, and works hands-on while orchestrating Constructor’s shared team. Key Responsibilities Positioning, Messaging & Market Insight Own the positioning and messaging for each Constructor Labs service line, tailored to university leadership and to enterprise L&D, HR and R&D decision-makers. Turn research and education offerings into clear value propositions and sales materials: presentations, one-pagers, website copy and case studies (e.g. JetBrains, Acronis). Run market analysis of the higher-education, EdTech and research landscape: benchmark competitors and comparable providers, follow rankings, funding and policy trends, and identify new opportunities. Keep messaging consistent across all channels and materials used by business development and leadership. Success Metrics and KPIs: clear messaging per service line, sales materials in active use, market insights that inform priorities. Account-Based Marketing & Demand Generation Build and run account-based marketing programmes for priority university and enterprise accounts together with business development: account selection, research, tailored messaging and multi-channel plays. Plan and execute campaigns that generate qualified leads and build the funnel from initial awareness through lead capture and handover to business development. Work hands-on across channels (performance, website, LinkedIn and other social media, email) and test new ones to reach decision-makers at universities, research institutions and enterprises. Use Salesforce independently as a marketing user: manage campaigns, switch email journeys on and off or adjust them, and build basic reports. Identify and evaluate higher-education, scientific and industry events where Constructor Labs should take part as speaker, partner or sponsor, and coordinate participation with the events and PR teams. Success Metrics and KPIs: pipeline generated, qualified leads and engagement from target accounts, conversion rates, return on events. Planning, Budget & Orchestration Own the marketing plan and budget for Constructor Labs: allocate and control spend and take responsibility for the results. Orchestrate the shared marketing team (performance, web, social, CRM, design, PR and events): set priorities, briefs, timelines and deliverables, and deliver part of the work yourself. Act as the single point of contact for all marketing topics, working closely with researchers, business development and leadership to align marketing with commercial and research priorities. Set goals, targets and KPIs; track performance and report regularly to leadership. Accountability: plan delivered on time and within budget, KPI targets met, quality of collaboration with the shared team. Requirements Solid B2B marketing experience in research, higher education, EdTech or a related environment. Understanding of research and education is key for this role. A background in science or research: you understand how universities and scientists work, how research projects and publications come about and why they matter. Proven experience with account-based marketing, ideally selling services to universities or enterprises with long, multi-stakeholder sales cycles. A track record of personally executing demand generation campaigns and contributing to pipeline growth. Hands-on experience across key channels: performance marketing, websites (CMS, landing pages, basic SEO) and social media, enough to speak the same language as specialists and make basic changes yourself. Hands-on experience with Salesforce as a marketing user (required). Experience with other CRM and marketing automation tools is a plus. Experience owning a marketing plan and budget end to end. Strong writing skills and the ability to translate complex research and education services into clear, persuasive messaging. Strong market research and analytical skills, including competitor benchmarking, KPI setting and reporting. Good understanding of the higher-education, scientific and industry events landscape and how to assess speaking, partnership and sponsorship opportunities. Ownership mindset: you prioritise, take responsibility for deliverables and drive projects from planning through execution. Ability to work effectively in a matrix organisation with a shared team and diverse stakeholders. Fluent English (written and spoken) for an international environment. University degree; a PhD or other postgraduate research experience is a strong plus.

Location: Mississauga, Ontario Workplace: hybrid Job Title: Director, People Strategy and HR Portfolio (Project) Management  Location: Mississauga, ON - Hybrid   **Travel to Office expectations** For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role.   At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.   With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.    At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.   Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.   About the Team The People Strategy & Transformation (PST) is PointClickCare's HR strategy, organizational design, and portfolio management pillar. The team includes HR Business Partners, Organizational Design & Effectiveness, People Experience, and the HR Strategy & Enablement function, with a dotted-line partnership to Internal Communications. PST is responsible for ensuring HR's work across every Center of Excellence is planned, resourced, sequenced, and tracked against business outcomes — spanning a portfolio of Pillar Initiatives, Cross-Pillar Projects, and Program Roll-Ups delivered across all four HR solution groups.   Position Summary: The Director, People Strategy and HR Portfolio (Project) Management s is the VP, People Strategy & Transformation's strategic thought partner in building and running PointClickCare's HR Portfolio Management Office (HR PMO) — co-designing the strategy, governance model, capacity methodology, and dashboard reporting that let HR plan, resource, and track its work against business outcomes. This is a net-new function: no HR PMO currently exists at PointClickCare, and this role will design these mechanics in partnership with the VP rather than operate a system someone else has already built. Operating with significant design authority but without direct reports or final decision rights on cross-functional trade-offs, this role earns influence through the credibility of the mechanics it builds and runs. It operates across all four HR solution groups without formal authority over any of them, serves as the VP's thought partner on HR strategy and the HR SLT prioritization process, and convenes HR initiative stakeholders and Internal Communications to coordinate how HR's work reaches the business.   Key Responsibilities: Design and run the HR Portfolio Management Office’s core operating mechanics Design and maintain the capacity management methodology, including the heat map model and the oversubscription thresholds used to flag resourcing conflicts across HR COEs Own and run the Portfolio Council governance cadence end to end — intake, capacity check, tier assignment, publish, mid-quarter check, and close-out Build and maintain the integrated HR initiative dashboard, ensuring data currency and accuracy across every active Pillar Initiative, Cross-Pillar Project, and Program Roll-Up Example deliverable: a quarterly Portfolio Council capacity heat map showing every HR COE’s current initiative load, used to approve or defer new initiative intake Serve as strategic thought partner to the VP, People Strategy & Transformation Co-design the HR SLT prioritization process and criteria used to evaluate and sequence HR initiatives each planning cycle Co-design the OKR and scorecard measurement architecture — what gets measured, how it rolls up, and the cadence it runs on Co-author and stress-test the HR Strategy on a Page, contributing independent analysis before it is finalized by the VP Example deliverable: a documented HR SLT prioritization framework — criteria, weighting, and process — adopted for the FY28 planning cycle Own capacity management and project plan oversight across the full HR initiative portfolio Track progress against committed business outcomes, not activity completion alone, across every active HR initiative Maintain consistent project plan structure, milestone tracking, and dependency mapping in partnership with each initiative’s named Delivery Lead Proactively surface cross-COE capacity collisions and resourcing conflicts before they reach Portfolio Council Example deliverable: a consolidated project plan view across all active Program Roll-Ups, flagging dependency risk before it affects a committed milestone Convene HR initiative stakeholders and Internal Communications on a recurring cadence Establish and run a recurring go-to-market coordination cadence bringing together initiative Delivery Leads and Internal Communications Sequence the timing and stakeholder readiness of HR initiative rollouts to the business, avoiding duplicate or conflicting messages landing in the same window Maintain a shared go-to-market calendar visible to HR SLT, showing what is launching, when, and to whom Example deliverable: a quarterly HR go-to-market calendar sequencing every planned initiative rollout to the business, reviewed and approved by HR SLT before the quarter begins Represent HR in enterprise planning and governance forums Serve as the primary operational liaison to the Strategic Delivery Office, aligning HR’s initiative classification and intake practices to enterprise taxonomy Represent HR’s initiative portfolio and capacity picture in the Corporate Strategy Group’s quarterly planning cadence Flag enterprise-level dependencies or conflicts affecting HR’s ability to deliver against committed priorities Example deliverable: HR’s consolidated initiative and capacity submission into the Corporate Strategy Group’s quarterly planning sprint, reflecting current Portfolio Council status   Required Skills & Qualifications: 10–15 years of experience in program/portfolio management, management consulting, or a PMO leadership capacity, including demonstrated experience designing — not only operating — portfolio governance, capacity management, or OKR measurement systems A track record serving as a strategic thought partner to a senior leader, with evidence of shaping that leader's thinking rather than only executing direction Demonstrated experience operating in matrixed, cross-functional environments without formal authority over the teams being coordinated Strong data and dashboard fluency — comfortable architecting reporting tools and the metrics model behind them, not just maintaining an existing build Executive-level communication skills — this role prepares materials for and interacts directly with VP-level stakeholders across every HR pillar Experience convening cross-functional stakeholder groups to coordinate sequencing and alignment on complex, multi-team initiatives   Preferred Experience: Experience building a PMO or governance function from scratch, in a design capacity, rather than operating within an already-mature one HR domain experience, including familiarity with COE structures and business-outcome-linked workforce initiatives Experience partnering with internal communications or marketing functions on coordinated, multi-stakeholder rollouts   At PointClickCare, base salary is one of the many components that make up our total rewards package. The Canada base salary range for this position is $127,000 - $158,700 + bonus + benefits. Our salary ranges are determined by job and level. The range displayed on each job posting reflects the target for new hire salaries for the position across all Canada locations. Within the range, individual compensation is determined by job-related skills and knowledge, relevant experience including professional and lived experience, and/or work location. Your recruiter can share more information about our total rewards package during the hiring process.   PointClickCare Benefits & Perks Benefits starting from Day 1 Retirement Plan Matching (RRSP & 401K) Flexible Paid Time Off Lifestyle/Wellness Spending Account Parental & Caregiver Leaves Fertility & Adoption Support Continuous Development Support Program Employee Assistance Program Learning Programs & Resources Employee Recognition … and more!   Equal Employment Opportunity: It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations.   When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it.  If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com    PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information.   #LI-Hybrid

Location: United States, Remote Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Staff Software Engineer – Data Do you want to join a team of talented engineers building the next generation of real-time data platforms that power analytics and data-driven experiences across PlayStation? As part of our Data Platform team, you will play a key technical leadership role in designing and evolving the Real-Time Analytics Platform (RTAP), enabling high-throughput, low-latency analytics and stream processing at PlayStation scale. The Software Engineers within our Platform Engineering Group design, build, document, and operate large-scale distributed data platforms that support real-time and near real-time analytics across PlayStation. You will solve complex distributed systems challenges, evolve our streaming and analytics architecture, integrate AI-powered platform capabilities, and improve scalability, reliability, performance, and developer productivity. We’re looking for someone who is passionate about distributed systems, real-time analytics, and building scalable data platforms. You will work closely with Engineering, Product, Infrastructure, Security, and Data Engineering teams to shape technical strategy, influence architecture across organizations, mentor engineers, and help drive the long-term evolution of PlayStation’s data platform. Responsibilities · Design, build, and operate large-scale distributed data systems that power real-time and near real-time analytics,, and data-driven applications across PlayStation. · Lead the architecture and evolution of RTAP’s stream processing and analytics platforms, improving scalability, reliability, performance, and developer productivity. · Own critical platform capabilities end-to-end from architecture and implementation through production operations, performance optimization, reliability, and lifecycle management. · Build and optimize distributed data services using technologies such as Apache Flink, Spark Structured Streaming, ClickHouse, and Apache Druid to support high-throughput, low-latency workloads. · Partner with Data Engineering teams to integrate batch and streaming workloads using modern lakehouse architectures and build interoperable, scalable data platforms. · Build AI-powered capabilities to automate engineering workflows, improve data quality, simplify platform operations, accelerate troubleshooting, and enhance developer productivity. · Establish technical standards and engineering best practices for distributed systems, stream processing, data modeling, query optimization and platform reliability. · Mentor engineers across the organization by reviewing architecture, designs, and code while raising the technical bar through coaching and technical leadership. · Partner with Product, Infrastructure, Security, and Platform Engineering teams to define long-term technical strategy and deliver scalable platform capabilities aligned with business priorities. · Investigate and resolve complex production challenges involving high-throughput, low-latency distributed systems, ensuring high availability and operational excellence. · Participate in the team's production support and on-call rotation, leading incident response, conducting root-cause analysis, and implementing reliability improvements that strengthen the platform over time · Evaluate emerging technologies and distributed data platforms, recommending investments that improve scalability, reliability, developer productivity, and cost efficiency. Requirements · Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. · 8+ years of experience designing and building large-scale distributed systems, with expertise in real-time data processing, analytics, or data platform engineering. · Strong proficiency in Python , with experience building production-grade distributed systems and data processing applications. Experience with Scala is beneficial for supporting and evolving existing platform components. · Hands-on expertise designing and operating large-scale stream processing applications using Apache Flink , Apache Spark Structured Streaming , or equivalent distributed streaming technologies. · Production experience designing, operating, and optimizing distributed analytics platforms using ClickHouse , Apache Druid , or equivalent high-performance OLAP/analytics databases, including query optimization, data modeling, and performance tuning at scale. · Experience building and consuming event-driven data pipelines using AWS MSK , Apache Kafka , or equivalent messaging platforms, with a focus on developing reliable, scalable data processing applications. · Experience applying AI/ML techniques and modern AI tooling to automate engineering workflows, improve data pipelines, simplify platform operations, and enhance developer productivity. · Strong systems design skills with the ability to evaluate architectural trade-offs across scalability, latency, throughput, consistency, reliability, and cost. · Demonstrated technical leadership through architecture ownership, mentoring engineers, and influencing technical decisions across multiple teams. Nice to Have · Experience with Databricks , Apache Iceberg , or modern lakehouse architectures, with the ability to design and integrate batch and streaming workloads into scalable, production-grade data platforms. · Experience building or operating multi-tenant, self-service data platforms supporting multiple engineering organizations. · Experience collaborating with globally distributed engineering teams across multiple organizations and time zones to deliver shared platform capabilities and drive technical alignment. Your First 90 Days 30 Days: Develop a strong understanding of the platform’s architecture, capabilities, engineering practices, and roadmap.Begin contributing to architecture discussions, feature development, design reviews, and production support.Build relationships within the team as well as across  the Data Platform organization. 60 Days: Take technical ownership of a major platform capability or architectural area. Identify opportunities to improve scalability, performance, reliability, or developer productivity.Collaborate with Data Engineering, Infrastructure, Product, and other partner teams on cross-platform initiatives. 90 Days: Lead the design and delivery of key roadmap initiatives for the team..Influence technical direction across teams and mentor engineers on distributed systems and platform engineering best practices.Establish clear architectural recommendations for the next phase of the platform’s evolution. In 90 days, you will have a detailed understanding of the Real-Time Analytics Platform and its role within PlayStation’s broader data ecosystem. You will be comfortable owning complex distributed systems initiatives, partnering closely with Product and Engineering teams, and driving large-scale solutions from architecture through production delivery. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $198,200 — $297,400 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Madrid Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW As a Mid Market Account Executive at Harvey, you will drive the growth and success of our AI solutions within the legal and professional services markets. You will be responsible for establishing and growing relationships with mid-sized law firms and corporate and financial services clients across Spain, understanding their unique challenges, and presenting AI solutions that streamline their processes and boost productivity. Your ability to articulate the value of Harvey's products, coupled with your passion for groundbreaking AI technologies, will help us shape the future of knowledge work. WHAT YOU'LL DO - Own your book of business by managing a named account list, prioritizing and cultivating inbound leads, and outbounding directly to high-potential prospects. - Manage the full customer lifecycle from prospecting to contracting, onboarding, growing, and renewals. - Achieve and exceed revenue targets and other key sales metrics. - Build strong relationships with key decision-makers and stakeholders, understanding their pain points and aligning Harvey's solutions with their needs. - Conduct high velocity, tailored client evaluations, including product demonstrations and presentations, showcasing the power of Harvey's AI systems to prospects and clients. - Effectively work cross-functionally across the organization to shape Harvey’s solutions to meet customer needs. Collaborate closely with the engineering and product teams to stay updated on the latest AI advancements and tailor solutions to meet client goals. - Develop our sales playbook to enable scaling, documenting learnings that can be applied across accounts. - Travel may be required from time to time, including visits to customer office locations and company offices. WHAT YOU HAVE - Proven track record of selling complex software solutions, with the ability to successfully execute on a consultative, solutions-oriented, value-based selling methodology. - Excited about prospecting, and capable of independently leading a sales cycle from start to finish. - Ability to independently manage a pipeline, accurately forecast key sales performance metrics, and consistently maintain CRM hygiene. - Ability to lead a complex, multi-threaded sale with stakeholders ranging from executives across various functions to day-to-day product users – especially the ability to convey technical concepts to non-technical audiences. - Demonstrated passion for Harvey’s mission and strong understanding of AI and its potential applications in knowledge work. Interest in the legal profession and helping lawyers do their jobs better and more efficiently. - Team player who can collaborate effectively across internal functions (product, legal, etc.) to achieve common goals. - Energized by contributing to the development of our team, sales processes, and culture, refining the value proposition of our solutions and creating sales resources to drive our success. - Fluency in English and Spanish, both spoken and written - Experience working in or adjacent to the Legal industry a plus but not required. DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-KS2 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: United States Company introduction: Compass Pathways plc (Nasdaq: CMPS) is a biotechnology company dedicated to unlocking urgently needed new treatment options in mental health care. The Company is headquartered in London, UK, with a U.S. office in New Jersey. We believe mental health patients deserve the possibility of a better future. Our initial focus is developing COMP360 psilocybin, a proprietary, investigational, synthetic psilocybin treatment under evaluation for treatment-resistant depression (TRD) and post-traumatic stress disorder (PTSD). COMP360 is a potentially first-in-class treatment and has Breakthrough Therapy designation from the U.S. Food and Drug Administration (FDA), as well as Innovative Licensing and Access Pathway (ILAP) designation in the UK for TRD. We are leading the world’s largest classic psychedelic clinical program in TRD, and building upon that robust foundation, we are executing a late-stage trial evaluating COMP360 for PTSD, another condition with high unmet need. Our goal is to advance treatments that move the field of psychiatry towards treatment options that offer rapid onset and sustained durability with infrequent dosing. - Compass Pathways Job overview : The Thought Leader Liaison (TLL) is a field-based commercial role responsible for developing and executing regional engagement strategies with key opinion leaders (KOLs), emerging thought leaders, and professional societies to support the future commercialization of COMP360. As an extension of the Compass Marketing team, the TLL gathers actionable marketplace insights, serves as a critical link between regional stakeholders and headquarters, and helps inform brand strategy and launch readiness. Through compliant, customer-centric engagement and cross-functional collaboration, the TLL supports strategic decision-making, identifies partnership opportunities, and delivers a cohesive stakeholder experience that advances organizational goals and improves patient outcomes. This role involves significant travel to national and regional medical congresses, professional society meetings, advisory boards, field engagements, and cross-functional business meetings. Location: Field based on the West Coast or in Texas, United State s. Reports to: Director, Promotional Medical Education. Roles and responsibilities (include but not limited to) : Thought Leader Engagement & Relationship Management Lead the development and execution of thought leader engagement strategies Build and maintain trusted relationships with national, regional, and emerging thought leaders Coordinate leadership interactions at assigned national, regional, and state society meetings and conferences Monitor market trends, scientific publications, congresses, and customer feedback to identify emerging opportunities and insights Strategic Insights & Planning Capture, synthesize, and communicate actionable customer insights to inform brand strategy, launch readiness, educational initiatives, and customer engagement plans Contribute to strategic planning activities through stakeholder engagement and market intelligence Manage engagement plans, maintain documentation, and ensure effective tracking of key activities and outcomes Speaker Bureau & Peer-to-Peer Education Support the development and execution of peer-to-peer educational programs and speaker engagement strategies Identify, recruit, and help onboard speaker faculty in partnership with Marketing Assist with speaker events, including speaker selection, training, and program review to ensure consistent messaging and compliant execution Collaborate with the Marketing team on speaker training programs and contribute to the ongoing refinement and effectiveness of the U.S. Speaker Bureau Content & Educational Development Contribute to educational content development by incorporating customer insights and perspectives to enhance relevance, impact, and engagement Collaborate with advocacy organizations and professional societies to advance disease-state education and patient journey awareness Candidate profile: Bachelor's degree required; advanced degree preferred 6+ years pharmaceutical, biotech, healthcare, or related experience Strong KOL engagement experience required CNS, psychiatry, neuroscience, or specialty therapeutics experience preferred Demonstrated ability to generate meaningful customer insights and influence strategy Strong understanding of healthcare environment and compliance requirements Excellent communication, collaboration, and project management skills Mission-driven leader passionate about mental health innovation Willing to travel 50–75% travel within assigned region (including weekends to attend congresses) Compensation Description (annually): Our compensation package for permanent hires includes base salary, discretionary bonus, and equity, alongside our comprehensive benefits offering. Please note that the base salary range is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. 【Base salary per annum】: $170,000 — $230,000 USD Benefits: For an overview of our benefits package and compensation information, please visit  " Joins us - Our Benefits ". These include f lexibility & generous time off, parental & reproductive support, health & medical, mental health & wellbeing and Financial health. Equal opportunities: Reasonable accommodation We are committed to building a workplace where everyone’s wellbeing matters. If you need reasonable accommodation during the interview process to be at your best, please let our recruiting team know. UK applicants We are proud of our commitment to diversity and equality (pursuant to the Equality Act 2010). We do not discriminate based upon race, religion or belief, colour, nationality, ethnic or national origin, gender, pregnancy or maternity, marital or civil partner status, sexual orientation, gender reassignment, age or disability. US applicants Compass Pathways is proud to be an equal opportunity employer. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, and related medical conditions), ethnicity, age, disability, sexual orientation, gender identity, gender expression, military service, genetic information, familial or marital status, or any other status, category, or characteristic protected by applicable law. Sponsorship : Unfortunately, we cannot sponsor employment visas and can only accept applications if you have employment rights in the country to which you are applying. Data Privacy: All data is confidential and protected by all legal and data privacy requirements, please see our recruitment Privacy Notice to learn more about how we process personal data.

Location: Amsterdam, Netherlands; London, United Kingdom; Remote - Europe; Zurich, Switzerland About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. We are seeking a Senior ML Engineer to join a fast-growing team building an agent-native search platform for AI systems, the emerging web access layer for AI. Our focus is agentic search, where AI systems plan, retrieve and refine rather than just return results. You will develop and deploy machine learning models that power retrieval, ranking, and indexing at scale, helping AI systems access fresh, reliable information in real time. This is a high-impact role working on a production system used 24x7, operating at the scale of web search. Your responsibilities: Train and deploy ML models for retrieval, reranking, and search relevance, such as embedding models and cross-encoders, in production Develop models supporting crawling, data selection, and content understanding Build and maintain the data, training and evaluation pipelines behind our models: training-data generation, evaluation sets and retraining Contribute to and improve our ML platform: training and orchestration workflows (Kubernetes, GPU scheduling, experiment tracking, model lifecycle) and inference optimisation for low-latency serving Work closely with engineering to integrate and deploy ML models in production services, balancing latency, quality and cost Apply the latest architectural advances and training procedures for retrieval and LLM-integrated systems Must-haves: 5+ years of experience in software engineering or applied machine learning Strong programming skills in Python and at least one of Go or C++ Proven experience deploying ML models in production systems Solid understanding of machine learning and modern deep learning, including transformers and embeddings Experience building data or ML pipelines and working with workflow orchestration Ability to define meaningful model metrics and evaluate models rigorously Product-oriented mindset with a focus on impact and iteration Nice-to-haves: Hands-on experience with retrieval, ranking, or recommendation Experience with Kubernetes, distributed training or GPU scheduling, or inference optimisation (batching, quantisation, compilation) Contributions to open-source projects, technical publications, or conference talks Strong results on public benchmarks or leaderboards (e.g. MTEB , BEIR ) or models released on Hugging Face Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Germany; Austria Workplace: Hybrid AI ENABLEMENT ENGINEER - GERMANY & AUSTRIA (f/m/x) As an AI Enablement Engineer at Wonderful your mission will be to help our teams, customers and partners develop the skills to take enterprise AI from concept to working solution. What you’ll do You’ll combine hands-on AI engineering with technical teaching, designing and delivering programs where people learn by building on the Wonderful platform. From onboarding Forward Deployed Engineers and Deployment Strategists to leading customer workshops and partner certification, you’ll equip people to deploy confidently and work independently. - Teach by building. Guide customer teams through a scoped AI agent or application, connecting architecture, integrations and development practices to a working solution with practical business value. - Get our teams ready to deliver. Own technical onboarding for Wonderful’s Forward Deployed Engineers and Deployment Strategists, preparing them to work independently in customer environments. - Lead Wonderful Academy programs. Design and deliver platform workshops, hands-on training and role-based learning for technical and business audiences. - Enable our partners. Build training for systems integration partners covering the Wonderful platform, deployment methodology and implementation standards. - Own certification end to end. Define learning paths and assessments, evaluate readiness and manage certification, further training and recertification. - Practice what you teach. You’ll regularly join live customer projects as an FDE, keeping your skills sharp and showing what’s possible through hands on delivery. - Keep learning relevant. Track progress, gather feedback and use product changes and field experience to improve content, delivery and outcomes. Why should you - You’ll be part of what is tipped as the fastest growing startup in Europe. - Work on a cutting edge agentic solution, the hottest topic in enterprise right now. - You’ll join a team of high agency builders coming from the best tech companies out there. - Combine hands-on AI engineering with teaching, facilitation and customer partnership. - Own programs from curriculum through certification, shaping how Wonderful develops technical capability across employees, customers and partners. - See the impact of your work in the solutions people build and their ability to keep developing independently. - A mix of home office and travel to clients locally. - Great salary and early stage share options. What you’ll bring - 5+ years in technical enablement, customer education, technical training or a related role within SaaS, cloud, data or AI. - Fluent German and english - Strong hands-on AI engineering experience, including system architecture, LLM and agent integration, design patterns and modern software development practices. - A practical understanding of enterprise software, APIs, integrations and data flows, with the ability to learn and teach a complex platform. - A track record of designing and delivering technical onboarding, workshops and certification programs, from curriculum and assessments through to measuring results. - Strong instructional design and facilitation skills. You can make complex concepts clear, keep groups engaged and adapt to different levels of technical experience. - Credibility with technical stakeholders and the confidence to lead discussions, explain platform capabilities and connect learning goals to business needs. - An ownership mindset, excellent communication skills and a clear focus on helping people become self-sufficient. Apply here, everyone will get a response. Candidate Privacy Notice https://www.wonderful.ai/careers/candidate_notice

Location: United States Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.   We’re looking for a Senior Analytics Engineer to join Kraken’s Finance Data Eng & Analytics team within Data Platform. You’ll build trusted financial data products, using automation and AI to reduce manual work and improve the close process. Working at the intersection of data engineering and accounting, you’ll turn complex financial data into reliable pipelines, models and automated reconciliations. You’ll use AI-assisted tools to accelerate development and investigations, keeping financial outputs tested and traceable.   THE OPPORTUNITY - You’ll work closely with Data Engineers, Finance and Platform Accounting to improve reporting and decision-making. Clear communication and collaboration will help you agree priorities, explain findings and drive adoption. - Partner with Finance to understand workflows, identify pain points and translate business needs into practical data and automation solutions. - Build and maintain automated workflows for data preparation, reconciliations, reporting and follow-ups, with clear controls, monitoring and exception handling. - Build intuitive dashboards and visualizations that help stakeholders understand performance, investigate issues and make decisions. - Resolve finance data issues and reconciliation breaks with Finance, Product and Engineering, addressing root causes and communicating progress. - Build scalable, reliable pipelines to collect, transform and curate data from internal platforms and external systems. - Support the design and rollout of a trusted finance data lake, with clear definitions, ownership and quality checks. - Improve data timeliness, enabling near-real-time insights where they add business value. - Evaluate new technologies, including AI-assisted automation, and prototype solutions to Finance needs that can be reliably supported in production.   WHAT YOU BRING - 7+ years of experience in data analytics and data management within financial services or a regulated industry, working directly with Finance teams. - Strong SQL and Python skills, including writing, debugging and maintaining production code. - Solid experience with Git, merge requests, and code reviews, supported by strong software engineering practices, including testing and documentation. - Hands-on experience building and operating pipelines and models using dbt, Spark, Airflow or comparable tools. - Direct experience with finance or accounting data, such as reconciliations, subledgers, cost basis or month-end close, including investigating discrepancies and validating outputs with accounting stakeholders. - A track record of owning pipelines end to end, making sound technical decisions and improving reliability as requirements and systems evolve. - Judgment and autonomy to lead complex work, navigate ambiguity and remain accountable for production outcomes. - Experience supporting recurring financial close activities, combined with a proactive approach to identifying manual processes and replacing them with reliable, sustainable automation. - Excellent communication skills, with the ability to collaborate across Engineering and Finance, explain complex technical issues, articulate financial implications, and recommend actionable solutions.   NICE TO HAVES - Experience with cryptocurrency transaction data and how digital-asset activity flows into financial records and reconciliations. - Experience processing large volumes of financial transactions using distributed frameworks such as Spark or PySpark. Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on X https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: Brazil; Peru; Colombia; Argentina; Canada; Mexico; Chile Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.   We’re looking for a Senior Analytics Engineer to join Kraken’s Finance Data Eng & Analytics team within Data Platform. You’ll build trusted financial data products, using automation and AI to reduce manual work and improve the close process. Working at the intersection of data engineering and accounting, you’ll turn complex financial data into reliable pipelines, models and automated reconciliations. You’ll use AI-assisted tools to accelerate development and investigations, keeping financial outputs tested and traceable.   THE OPPORTUNITY - You’ll work closely with Data Engineers, Finance and Platform Accounting to improve reporting and decision-making. Clear communication and collaboration will help you agree priorities, explain findings and drive adoption. - Partner with Finance to understand workflows, identify pain points and translate business needs into practical data and automation solutions. - Build and maintain automated workflows for data preparation, reconciliations, reporting and follow-ups, with clear controls, monitoring and exception handling. - Build intuitive dashboards and visualizations that help stakeholders understand performance, investigate issues and make decisions. - Resolve finance data issues and reconciliation breaks with Finance, Product and Engineering, addressing root causes and communicating progress. - Build scalable, reliable pipelines to collect, transform and curate data from internal platforms and external systems. - Support the design and rollout of a trusted finance data lake, with clear definitions, ownership and quality checks. - Improve data timeliness, enabling near-real-time insights where they add business value. - Evaluate new technologies, including AI-assisted automation, and prototype solutions to Finance needs that can be reliably supported in production.   WHAT YOU BRING - 7+ years of experience in data analytics and data management within financial services or a regulated industry, working directly with Finance teams. - Strong SQL and Python skills, including writing, debugging and maintaining production code. - Solid experience with Git, merge requests, and code reviews, supported by strong software engineering practices, including testing and documentation. - Hands-on experience building and operating pipelines and models using dbt, Spark, Airflow or comparable tools. - Direct experience with finance or accounting data, such as reconciliations, subledgers, cost basis or month-end close, including investigating discrepancies and validating outputs with accounting stakeholders. - A track record of owning pipelines end to end, making sound technical decisions and improving reliability as requirements and systems evolve. - Judgment and autonomy to lead complex work, navigate ambiguity and remain accountable for production outcomes. - Experience supporting recurring financial close activities, combined with a proactive approach to identifying manual processes and replacing them with reliable, sustainable automation. - Excellent communication skills, with the ability to collaborate across Engineering and Finance, explain complex technical issues, articulate financial implications, and recommend actionable solutions.   NICE TO HAVES - Experience with cryptocurrency transaction data and how digital-asset activity flows into financial records and reconciliations. - Experience processing large volumes of financial transactions using distributed frameworks such as Spark or PySpark.       Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on X https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: San Jose, CA, United States Vectra® is the leader in AI-driven threat detection and response for hybrid and multi-cloud enterprises. The Vectra AI Platform delivers integrated signal across public cloud, SaaS, identity, and data center networks in a single platform. Powered by patented Attack Signal Intelligence, it empowers security teams to rapidly prioritize, investigate and respond to the most advanced cyber-attacks. With 35 patents in AI-driven threat detection and the most vendor references in MITRE D3FEND, organizations worldwide rely on the Vectra AI to move at the speed and scale of hybrid attackers. For more information, visit www.vectra.ai. Logistics Trade compliance Specialist Position Overview The Logistics Trade Compliance Specialist is responsible for global trade compliance and logistics activities. This role coordinates the movement of products from order readiness through delivery with third-party logistics providers, carriers, customers, suppliers, and internal teams, and helps ensure shipments comply with applicable import and export requirements. The ideal candidate combines strong logistics execution with practical trade compliance knowledge and the ability to interpret evolving legal and regulatory requirements, assess business impact, and translate requirements into effective operational processes. This is a hybrid position in San Jose, with about 1-2 days in the office weekly. Key Responsibilities Trade Compliance Support compliance with applicable U.S. and international trade regulations, company policies, contractual requirements, and customer requirements. Perform and document import/export classification activities, including HTS/HTSUS and ECCN classifications for physical goods and technology products, as applicable. Assess export requirements for products incorporating encryption, including applicable ECCN classifications, EAR encryption controls, license requirements or exceptions, and related documentation and reporting requirements. Assess end-use and end-user restrictions, restricted or sanctioned-party screening requirements, export license determinations, anti-boycott considerations, and other trade compliance requirements. Support export license applications and related documentation, including coordination with internal stakeholders and external partners as needed. Coordinate or support Electronic Export Information (EEI) filings through AES, as applicable, and verify required export data and documentation prior to shipment. Support import compliance activities, including country-of-origin, customs valuation, tariff/duty, and documentation requirements in coordination with customs brokers and internal stakeholders. Monitor changes to export and import laws and regulations, evaluate potential impact to company and partner processes, and help update procedures and controls to maintain compliance. Maintain complete and accurate trade compliance records, including classification rationale, screening results, licensing documentation, and shipment records, in accordance with applicable requirements and company retention policies. Respond to trade compliance requests, questionnaires, and documentation needs from logistics teams, customers, and business partners supporting global product deployments. Order Fulfillment & Logistics Support end-to-end order fulfillment activities, from order readiness and shipment planning through final delivery and issue resolution. Coordinate domestic and international inbound and outbound shipments with 3PL providers, freight forwarders, customs brokers, carriers, suppliers, and other external partners. Monitor shipment status, proactively identify and resolve delays, exceptions, customs holds , or delivery issues, and communicate timely updates to internal and external stakeholders. Partner with customers and internal teams to understand shipping requirements, documentation needs, delivery expectations, and other order-specific requirements. Prepare, review, and maintain accurate shipping and trade documentation, including commercial invoices, packing lists, certificates of origin, and other import/export documents as required. Identify opportunities to improve logistics processes, service levels, cost efficiency, and global tariff cost containment. Qualifications 3+ years of experience in domestic and international logistics and trade compliance. Working knowledge of import/export regulations, HTS/HTSUS and ECCN classification, export licensing requirements, restricted or sanctioned-party screening, and U.S. export control requirements applicable to products incorporating encryption. Experience coordinating with freight forwarders, customs brokers, carriers, 3PL providers, customers, suppliers, and cross-functional internal teams. Ability to manage multiple priorities and work effectively in a fast-paced, dynamic environment. Proficiency with Microsoft 365 applications, including Outlook, Excel, Word, PowerPoint, and Teams. Excellent written and verbal communication skills, with the ability to communicate effectively with internal and external stakeholders. Strong attention to detail, organizational skills, analytical thinking, and problem-solving ability. Preferred Qualifications Bachelor’s degree in logistics, supply chain management, international trade, business, or a related field. Hands-on experience with AES/EEI filings, export license applications, and import/export documentation. Familiarity with technology products and global trade requirements for hardware, software, and technology is desirable. Familiarity with Salesforce, ERP/order-management systems, or trade compliance software is desirable. Our competitive total rewards package includes cash compensation within the range provided below. Actual pay for this position may vary based on the hired candidate’s location, experience and relevant incumbent pay position. Vectra Total Rewards $76,800 — $103,900 USD Vectra provides a comprehensive total rewards package that supports the financial, physical, mental and overall health of our employees and their families. Compensation includes competitive base pay, incentive pla n eligibility, and participation in the employee equity plan (stock options). Specific benefits offered var ies by location, but commonly in clude health care insurance , income protection / life insurance , access to retirement savings plans, behavioral & emotional wellness services , generous time away from work, and a comprehensive employee recognition program. Vectra is committed to creating a diverse environment and is proud to be an equal opportunity employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

Location: London, England, United Kingdom; Dubai Workplace: hybrid We are a leading trading platform that is ambitiously expanding to the four corners of the globe. Our top-rated products have won prestigious industry awards for their cutting-edge technology and seamless client experience. We deliver only the best, so we are always in search of the best people to join our ever-growing talented team. As Head of Financial Crime Product, you will set the strategy and own the roadmap for the products behind our financial crime controls, from onboarding and screening to monitoring and case management. You will lead a team of Product Owners and work closely with Operations, Compliance and Engineering to decide what gets built, why, and how well it performs once live.     This is a new position based in Dubai or London, reporting directly to the VP, Financial Crime. Responsabilities Strategy and roadmap. Set the financial crime product strategy. Build financial crime controls, own the product roadmap, agree delivery priorities and capacity with Engineering, and be responsible for the outcomes. Leadership. Lead and develop Financial Crime Product Owners. Establish clear ownership of product areas and help the team make sound decisions through research, data analysis and a close understanding of operational work. Prioritisation. Prioritise improvements with Operations, Compliance and Engineering. Examine the underlying problem, assess alternative solutions and make trade-offs explicit when risk, customer impact and delivery effort point to different choices. Control design. Translate control requirements into product designs and acceptance criteria with the relevant control owners. Work with Engineering on feasibility and delivery, maintaining a clear distinction between product decisions and technical implementation. Customer journey. Improve how financial crime capabilities connect across the customer journey. Address gaps in data quality, case information and handovers so customers avoid unnecessary repetition and operational teams can make well-informed decisions. Build or buy. Assess opportunities to build or buy capabilities with Engineering and relevant partner teams. Evaluate functionality, integration needs and ongoing costs, and set clear expectations for the performance of external products. Automation and AI. Lead product discovery and delivery for automation and AI applications. Agree evaluation methods, acceptance criteria and human oversight with the appropriate owners, and assess performance after deployment. New products and markets. Prepare capabilities for new products and markets with Operations, Compliance and local leaders. Make dependencies and readiness gaps visible, and coordinate releases, training and adoption with the teams who will use them. Performance after launch. Measure product performance after launch using control results, operational evidence and customer experience. Use findings to improve the roadmap and address features that create additional effort or fail to deliver their intended benefit. Requirements Significant product management experience in financial crime, regtech or compliance technology, including leading other product managers or product owners. Strong working knowledge of financial crime controls: customer due diligence and KYC, sanctions and PEP screening, transaction monitoring, fraud prevention and case management. Understanding of AML and counter-terrorist financing requirements across several jurisdictions, such as the UK Money Laundering Regulations, the EU AML Directives and their equivalents in Australia, the UAE and the Bahamas, and how they translate into product requirements. A track record of owning a roadmap and delivering with Engineering, writing clear requirements and acceptance criteria, and keeping product decisions separate from technical design. Experience making build-or-buy decisions and managing third-party vendors, including integration, cost and performance expectations. Hands-on experience delivering automation or machine learning in a regulated setting, with defined evaluation methods, human oversight and post-deployment monitoring. Comfort using data to find problems and measure results, for example alert volumes, false positive rates, case handling times and customer drop-off. Clear communication with senior stakeholders in Compliance, Operations and Engineering, and the judgement to make trade-offs between risk, customer impact and delivery effort visible. Nice to have Experience in online brokerage, trading platforms, payments or digital banking. Familiarity with financial crime vendors and tools for screening, identity verification, transaction monitoring or case management. Experience launching products or entering new markets under different regulators. What you will get in return: • Competitive Salary: We believe great work deserves great pay! Your skills and talents will be rewarded with a salary that makes you feel valued and motivated. • Work-Life Harmony: Join a company that genuinely cares about you - because your life outside of work matters just as much as your time on the clock. #LI-Hybrid • Generous Time Off: Need a breather? Our annual leave policy lets you recharge and enjoy life outside of work without a worry. • Employee Referral Program: Love working here? Share the love! Bring your talented friends on board and get rewarded for growing our awesome team. • Comprehensive Health & Pension Benefits: From medical insurance to pension plans, we’ve got your back. Plus, location-specific benefits and perks! • Workation Wonderland: Live your digital nomad dreams with 30 extra days to work remotely from anywhere in the world (some restrictions apply). Adventure awaits! • Volunteer Days: Make a difference! Take two additional paid days each year to support causes you care about and give back to the community. Be a key player at the forefront of the digital assets movement, propelling your career to new heights! Join a dynamic and rapidly expanding company that values and rewards talent, initiative, and creativity. Work alongside one of the most brilliant teams in the industry. Applicable for Poland: Our company has an Internal Reporting Procedure. It is available from the Human Resources Department upon request hr@capital.com. You may report a violation referred to in the Procedure under the terms specified therein.

As Head of Product you own product direction and priorities for the cloud platform: which problems deserve our attention, what success looks like, and what we should stop doing.

Location: Warsaw, Mazowieckie, Poland; Limassol, Cyprus; Sofia City, Bulgaria Workplace: hybrid Capital.com is building out its internal platform capabilities, and AI is a growing part of that. The role combines architectural ownership with hands-on delivery: you will design, build, deploy and operate the platform, including its infrastructure and DevOps. Reporting to the Director of Product Security, you will set up this function as its first member and make the early technical decisions that the future team will build on. As Platform Architect, you will own the architecture of the platform that more than 1,000 employees rely on, including their access to AI tools such as Anthropic Claude, OpenAI and future providers. Responsibilities: Build the AI platform architecture: the reference design for how LLM capabilities are accessed, governed, monitored, and extended across the organisation. Own every architectural decision for the AI platform, and document, justify, and stand behind each one. Evaluate and select new models, tools, and frameworks as the market moves. Deliver the platform as a service, so teams can move their agents into governed cloud infrastructure. Govern Anthropic (Claude API, Claude Code, Anthropic Enterprise), OpenAI, and future providers, covering API access controls, credential management, model version policy, cost allocation, and acceptable use standards. Own technical relationships with Anthropic and OpenAI at the enterprise level. Build cloud infrastructure for AI workloads on AWS and GCP: Bedrock, SageMaker, Vertex AI, Cloud Functions, and supporting services (S3, Cloud Storage, IAM, and monitoring on both platforms). Deploy and securely configure n8n, and build automation workflows connecting LLMs to Jira, Confluence, Slack, Google Workspace, HR systems, and proprietary data sources. Design and secure MCP servers and gateways connecting AI agents to internal services. Build Python integrations for AI-powered internal tooling: RAG pipelines, agent frameworks, prompt libraries, and internal AI assistants. Deliver hands-on: you write the code, build the workflows, and deploy the tooling. This isn't an advisory role. Build data privacy and security architecture for LLM usage in a regulated environment, including prompt classification, output controls, and audit trails aligned with FCA, CySEC, ASIC, and DORA. Build observability across the full stack: token consumption, cost per team, latency, error rates, and policy violations across cloud platforms and direct API providers. Build an AI adoption framework of standards, patterns, and onboarding materials that let teams across Technology use AI safely and consistently. Run internal enablement through workshops, documentation, and direct support for teams moving from ad-hoc AI use to governed, repeatable processes. Report AI platform status, risks, and roadmap to Technology leadership Requirements: 8+ years in engineering, with at least 2 years building LLM-based systems in production, not prototypes or POCs. Comfort operating as the first person in a function: you set your own priorities, unblock yourself, and deliver without a team around you. Production-grade Python: tooling that others depend on, not scripts you hand off. Deep, hands-on experience with the Anthropic and/or OpenAI APIs: function calling, tool use, streaming, RAG, prompt management, token optimisation, and model versioning. Hands-on experience with agentic platforms, MCP servers, and MCP gateways, including designing flows between AI agents and internal services. n8n: deploying, securely configuring, and maintaining multi-step automation workflows at organisation scale. Solid AWS for AI workloads: Bedrock, SageMaker, Lambda, S3, IAM, and CloudWatch, deployed and operated in production. Solid GCP for AI workloads: Vertex AI, Cloud Functions, Cloud Storage, IAM, and Cloud Monitoring. Hands-on DevOps capability to deploy and run what you build. Architectural thinking: end-to-end system design, clear trade-off documentation, and the ability to defend decisions to senior stakeholders. Security engineering for what you build: secrets and credential management, key rotation, and least-privilege IAM across cloud and SaaS. Data protection and auditability by design: classifying what data can reach which model and provider, controlling and logging prompts and outputs, and building audit trails that hold up to a regulator. Fluency in the LLM threat surface, including prompt injection, data exfiltration through model outputs, insecure tool and agent use, and model supply-chain risk, with working knowledge of a recognised framework such as the OWASP LLM Top 10 or NIST AI RMF. Nice to have: Fintech, brokerage, or financial services background. DORA or ISO 27001:2022 knowledge as it applies to AI system risk. Familiarity with the EU AI Act and other AI regulatory requirements, as well as AI-specific risk and governance standards such as NIST AI RMF or ISO/IEC 42001. LLM orchestration frameworks: LangChain, LlamaIndex, or similar. Hands-on experience with LLM guardrail and DLP tooling: Bedrock Guardrails, Vertex AI safety filters, or prompt-firewall and PII-redaction tools. Experience building internal developer platforms or AI centres of excellence. AWS Solutions Architect Professional, Google Professional ML Engineer, or equivalent. Grow with Capital.com and help shape how millions of people access the markets.

Location: Cardiff, London or Remote (UK) 🚀 We’re on a mission to make money work for everyone. We’re waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as personal and business bank accounts, we offer joint accounts , accounts for 16-17 year olds , a free kids account and credit cards in the UK, with more exciting things to come beyond. Our UK customers can also save , invest and combine their pensions with us. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We’re not about selling products - we want to solve problems and change lives through Monzo ❤️ 📍London or Remote (UK)  | 💰  £85,000 - £105,000 + Incentive Awards tied to your performance + Benefits ⭐Our Model Oversight team The second line of defence Model Oversight team (that’s us!) provides support to our colleagues in Borrowing, Fincrime & Fraud, Finance and Operations to help Monzo grow safely. We’re looking for a Model Validation Senior Manager - Gen AI to lead the teams’ oversight of Generative AI models/use cases (primarily built across Monzo’s Operations squads) to provide assurance that the models/use cases we use are not only good for Monzo but what's best for our customers. 🔑You’ll play a key role by... Driving the embedding of the Model Risk Framework for Generative AI use cases across Monzo Lead the collaboration with the first line of defence teams to strengthen policies, standards and procedures for Generative AI model, use case, system design and build, implementation, governance, monitoring and use.  Helping to embed best practice of Generative AI across the business. Own the setting and maintenance of Generative AI validation methods, evidence expectations and reusable technical assets with relevant 1LoD modelling teams, applicable across all model risk areas. Convert modelling/validation experience into controlled playbooks, tests and working examples that can be applied to 2LoD Validation standards and processes for all Generative AI models, use cases, systems overseen by the 2LoD Model Oversight team. Coach Generative AI validation methodologies, to 2LoD Model Oversight colleagues, whom already have transferable Machine Learning skills, to reduce reliance on any single specialist for the validation of Generative AI models, use cases, systems so it can be consistently applied across Financial, Credit and Fincrime/Fraud models. Leading the 2LoD Oversight of Operational Model Risk Perform, and oversee, independent model validations of new Operational models (primarily Generative AI models, use cases, systems),  and changes to existing, using proportionate modelling techniques depending on the level of complexity applied. This includes writing clear and impactful model validation reports and presenting the findings in relevant committees. Build relationships with first line of defence modelling teams that develop Operational Models, and wider risk teams, to support the embedding of the model risk framework to help Monzo grow safely. Review ongoing model performance monitoring to ensure Operational models are performing within risk thresholds and providing support to the relevant model development team when further action is required Monitoring and measuring the overall level of Operational model risk that Monzo operates, and driving action plans with first line teams and appropriate governance forums to mitigate residual model risk within desired risk appetite. Being a senior advocate of Model Risk Management best practices Support the effective operation of the Model Risk Oversight Committee as a regular attendee, contributing to the group discussion to improve model risk management. Promote and help embed a strong risk culture, making risk meaningful and relevant to everyone at Monzo. You will share best practice that is easy for everyone to understand. 🤩We’d love to hear from you if… You are highly motivated and energised by the idea of bringing positive impact to our customers and Monzo You are self-motivated and thrive in a fast-paced environment You have great attention to detail while keeping an eye on the big picture You are a great communicator, able to articulate complex problems You can provide effective challenge whilst building strong, respectful relationships You are keen to grow your knowledge in both business and technology And, from a technical and knowledge perspective, you should have : Robust Data Science or Machine Learning background with strong Python capability Experience with design of Generative AI evaluation frameworks, architectures, methods, practical tooling and platform alignment. Knowledge of Gemini implementations and change assessment Experience of managing a modelling project through its full lifecycle If possible, some understanding of some of the following: Coaching and standard setting Banking MRM and regulatory context 🙌What’s in it for you 💰£85,000 - £105,000 ➕ Incentive Awards tied to your performance 📍This role can be based in our London or Cardiff offices, or be distributed working within the UK (with ad hoc meetings in London) ⏰We offer flexible working hours and trust you to work enough hours to do your job well, and at times that suit you and your team. 📚£1,000 learning budget each year to use on books, training courses and conferences. ➕ Plus lots more! Read our full list of benefits . 🌈 The application journey has 4 key steps: - Phone call with recruiter - 30 mins - Initial call with hiring manager - 30 mins - Assessment & technical interview - 60 mins - Leadership & Behavioural Interview - 60 mins This process should take around 4-8 weeks - your schedule is really important to us, so we promise to be as flexible as possible! We have some guidelines on using Artificial Intelligence (AI) to ace an application and interview at Monzo. You can read them here. #LI-TK1 Equal opportunities for everyone Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog , 2026 Diversity and Inclusion Report and 2025 Gender Pay Gap Report. We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. If you have a preferred name, please use it to apply. We don't need full or birth names at application stage 😊

Location: Ukraine (Remote) Workplace: Remote ABOUT THE OPPORTUNITY Are you a talented linguist with a love for language and cutting-edge technology? We want YOU to join our dynamic translation pool! We're on the lookout for experts across a range of exciting fields — including Life Sciences, IT, Marketing, Legal, Finance, – but don't let that limit you. Whatever your specialization, we'd love to hear from you!   WHAT YOU’LL DELIVER - Translate content between English and your native language while preserving cultural nuance and clarity. - Edit and refine language content for accuracy, tone, and contextual relevance across digital platforms. - Apply current language standards, usage trends, and best practices to all deliverables. - Evaluate and provide structured feedback to improve language model quality. - Collaborate with Production and cross-functional teams to localize content for your language-speaking markets. - Support content development, localization, and quality assurance for digital tools and applications. - If transcreation is required, the text should be creatively adapted beyond the source to ensure it reads naturally in the target language.   QUALIFICATIONS - Native-level proficiency in the target language(s) - A graduate qualification in translation, linguistics, or language studies, OR - A graduate qualification in another field plus 2 years of full-time professional translation experience, OR - 5 years of full-time professional translation experience. - The ability to follow terminology and reference materials precisely   WHY COLLABORATE WITH LILT? - Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging. - Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices. - Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate. - Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together. - Grow without limits. As a Lilt contractor you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains. - Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful. WHAT TO CONSIDER BEFORE APPLYING - Not ideal as a full time job or primary income source. Work availability fluctuates with project demand, making this better suited as a supplemental income stream. As a 1099 contractor, you won't receive benefits such as health insurance, paid time off, or retirement contributions, and hours are not guaranteed. - Requires reliable availability and commitment. Once you accept a task, we expect quality work and on-time delivery. Most tasks require a minimum of 2 hours per day or 10 hours per week. If your schedule is unpredictable, this may not be the right fit. - Geographic restrictions may apply. We cannot engage contractors in regions subject to international embargo or sanctions. As a 1099 contractor, you are solely responsible for your own tax obligations. We recommend consulting a tax professional before engaging. HOW TO JOIN OUR EXPERT COMMUNITY Step 1: Submit your application, including an updated copy of your CV in English. Step 2: If a test is required, you will be asked to take a test in specific domains you specialise in. Step 3: Once you are selected to join our translation team and you have passed the test, we'll guide you through the remaining onboarding steps — completing an application form, getting you set up for payments, and welcoming you into our community. AI is changing how the world communicates — and LILT is leading that transformation. LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world. Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise. Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy. At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com. LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.

Location: Amsterdam, Netherlands At Catawiki, every day brings the extraordinary! Whether it’s Daniel Ricciardo’s Formula 1 Car , a Woolly Mammoth’s Skeleton , Lady Gaga's Jumpsuit or Usain Bolt’s running shoe , we encounter exceptional objects every day. We’re a one-of-a-kind marketplace for buying and selling special objects. Each week, more than 100,000 unique items are auctioned, all carefully curated by our passionate in-house experts. Having sold over 25 million unique objects, our mission is to become the world’s most popular destination for special objects. As a growing, diverse and sustainable scale-up, we proudly live by three core values. If these values resonate with you, we’d love to explore how you can join us. Taking ownership and driving impact Being open to change and feedback Being passionate about our mission and our customers. Your mission As Senior Manager – Data Engineering & Machine Learning, you’ll lead Catawiki’s established team of Data Engineers and Machine Learning specialists. You’ll help the team grow, set its technical direction and build on work already underway across data foundations and production machine learning. The role spans two connected disciplines. You’ll bring deep experience in either Data Engineering or Machine Learning Engineering, and enough breadth to set direction across the other. You’ll partner with Product, Engineering, Analytics and business stakeholders to set priorities and connect the team’s work to outcomes across Catawiki. What you'll do You’ll lead the team through platform modernisation and product-facing ML work. Current priorities include modernising the infrastructure for serving production models, introducing a feature store to improve feature management and consistency across model training and serving, and strengthening observability and cost controls. You’ll help set priorities and raise the reliability and impact of this work. Lead and develop the team: Set direction, coach experienced specialists and create clear ownership across Data Engineering and Machine Learning. Build dependable data foundations: Improve the pipelines, integrations and infrastructure the wider Data team relies on for analysis, reporting and machine learning. Strengthen production ML: Improve deployment, monitoring and operational follow-through for production models, so teams can run them reliably and resolve issues effectively. Advance marketplace models: Help teams improve recommendation, cancellation and bidder-risk use cases, connecting model performance to meaningful product outcomes. Set direction and priorities: Work with Product, Engineering, Analytics and business partners to choose high-value problems and balance delivery, reliability and long-term platform health. Shape the technology strategy: Reporting to the SVP Engineering, you’ll join the Engineering Management team and help shape the direction of the Technology department. What you'll bring You combine strong technical judgement with experienced people leadership. You create clarity in a complex environment, empower specialists and make sound decisions across both disciplines. Your experience will include the following. Familiarity with Catawiki’s current stack is useful, and equivalent experience with other platforms is welcome. Technical depth in one discipline: Deep experience designing, building and operating data-intensive systems in Data Engineering or Machine Learning Engineering, with practical knowledge of the other. People leadership: Experience leading experienced engineers or ML specialists, coaching their growth and setting clear expectations. Architecture and systems thinking: Ability to evaluate trade-offs and guide architecture for data platforms, distributed systems and production infrastructure. Production ML understanding: Experience with the deployment, monitoring and operation of machine learning systems in production. Business and product judgement: Ability to connect technical work to business goals, make priority calls and assess outcomes. Relevant cloud platform experience: We run on GCP using BigQuery, Vertex AI and Kubernetes. Experience with equivalent AWS services is also relevant. Streaming and integration experience: Kafka, event-driven systems or modern data integration tools are useful. Clear communication: Ability to explain technical trade-offs and align technical and non-technical stakeholders. How we work You’ll lead a team of eight Data Engineers and Machine Learning specialists across Amsterdam and Lisbon. The team works closely with Product, Engineering, Analytics and business stakeholders to connect data and ML capabilities to real needs. Specialists own implementation while you set direction, priorities and clear standards. The team supports production data and ML systems, and has no on-call rotation. Where you'll be This is a hybrid role in Amsterdam. You will work from our Amsterdam HQ a minimum of 2 days per week. Why You'll Love Working with Us Create a visible impact by working at scale in a global organisation serving millions of customers across 80+ categories. In our flat structure, every role has a broad scope and directly impacts both our customers and the business. Learn and grow through our Learning & Development initiatives, including clear development plans and mentorship programmes to support your career progression. A culture of connection defines us . We’re a passionate, diverse team of 800+ Catawikians representing 60+ nationalities. We foster an inclusive and queer-friendly environment where everyone is encouraged to bring their full self to work. Celebrate life’s moments with us. You’ll receive a €100 Catavoucher when you join, a €50 Catavoucher on your birthday, and an extra day off each year to “Pursue Your Passion ” . We also offer additional leave for key work anniversaries and important life events. Benefits may vary by location. Our Offices and Way of Working Our vibrant offices in Amsterdam and Lisbon are designed to inspire collaboration. Most Catawikians operate in a hybrid setup, combining office-based and remote work, with a minimum of two days per week in the office, unless a role is explicitly stated as fully remote or fully office-based. Interested? Apply with an English CV and Cover Letter. By applying, you agree to Catawiki’s Applicant Privacy Policy. If you’re excited about this role but don’t meet every requirement, we still encourage you to apply anyway. You may be just the right candidate for this or other roles. We may use artificial intelligence (AI) tools to support the review of your application. AI may help us assess how your experience matches the requirements of the role, but hiring decisions are always made by our recruitment team