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Location: United Kingdom, London 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. Role Overview: The Director of Finance Systems Engineering is a technology and engineering leader responsible for delivering and evolving systems that enable critical Finance capabilities. Reporting to a Senior Director in IT, this role will lead teams responsible for enterprise planning and forecasting platforms, custom-built Finance solutions, and SaaS applications that complement the core SAP ERP ecosystem. The Director will lead a multidisciplinary team that includes planning model builders, systems analysts/product owners/TPMs, and software engineering professionals. This leader will partner closely with Finance to translate business priorities and transformation objectives into scalable technology solutions that simplify processes, improve decision making, and enable greater use of data, automation, AI, and machine learning. A key responsibility of the role is strengthening the team’s ability to connect Finance domain expertise with specialized data and machine learning capabilities, enabling Finance to translate its AI and ML objectives into scalable solutions. The successful candidate will combine strong engineering and people leadership with Finance domain knowledge and experience across enterprise planning platforms, custom software development, SaaS solutions, integration architectures, data, and AI/ML technologies. What you'll be doing: Finance Systems Leadership & Business Partnership Lead multidisciplinary teams responsible for planning and forecasting platforms, custom Finance solutions, and Finance-related SaaS applications. Partner with Finance leaders to understand business priorities and translate Finance transformation objectives into technology strategies, roadmaps, and solutions. Own the technology portfolio and multi-year roadmap balancing business priorities, technical debt, platform lifecycle, and operational sustainability. Establish engineering and product practices that balance speed, business value, user experience, scalability, reliability, security, and maintainability. Develop strong partnerships with Enterprise Architecture, Data Engineering, ML Engineering, Integration, Infrastructure, Cybersecurity, and other technology teams to deliver cohesive end-to-end solutions. Manage strategic technology vendors and implementation partners to ensure successful delivery, operational excellence, and continuous innovation. Build and develop a high performing organization across model building, systems analysis/product ownership, and software engineering disciplines while fostering a culture of accountability, collaboration, innovation, and continuous learning. Planning, Finance Applications & Software Engineering Provide technology leadership for enterprise-scale financial planning, budgeting, forecasting, and scenario-modeling solutions used across Finance. Lead the engineering, maintenance, and support of custom applications and services that address Finance-specific business requirements. Provide leadership for Finance SaaS applications adjacent to the core SAP ERP ecosystem. Ensure Finance solutions integrate effectively with SAP and the broader enterprise application and data ecosystem while maintaining appropriate architectural standards and controls. AI, ML and Data Enablement Partner with Finance leaders to identify opportunities where data, AI, and machine learning can improve planning, forecasting, financial analysis, automation, and decision making. Assess capability gaps and establish development plans, role expectations, and ways of working that prepare the Finance Systems Engineering organization to collaborate effectively with Data Engineering and ML Engineering teams. Enable teams to translate Finance business problems and domain knowledge into well-defined data, AI, and ML use cases. Partner with specialized technology teams to incorporate enterprise data, predictive models, and AI/ML services into Finance applications and business processes. Define how Finance Systems Engineering will evaluate, adopt, and govern AI and ML capabilities available through enterprise applications, internal data and ML platforms, and approved external services. Help drive adoption and operationalization of AI/ML capabilities within Finance while ensuring alignment with enterprise architecture, data governance, security, privacy, and technology standards What we're looking for: Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience. 10+ years of progressive experience leading enterprise application or software engineering organizations in a large enterprise environment, including accountability for multidisciplinary teams, technology delivery, and operational performance. 5+ years leading through managers, including responsibility for organizational design, talent development, performance management, and succession planning. Demonstrated experience building and leading multidisciplinary teams across software engineering, enterprise applications, planning applications, systems analysis, product ownership, and technical program management Experience leading enterprise scale financial planning, budgeting, forecasting, and scenario-modeling platforms, including responsibility for platform strategy, delivery, lifecycle management, and operational performance. Strong understanding of Finance processes, particularly financial planning, budgeting, forecasting, and related Finance operations. Demonstrated ability to partner with senior business leaders, translate business and transformation objectives into technology strategy and execution, and own multi-year portfolio roadmaps that balance business priorities, technical debt, platform lifecycle, and operational sustainability. Strong understanding of software engineering, enterprise architecture, integration, data, and cloud concepts. Demonstrated ability to develop technical talent and build new capabilities within an engineering organization, including preparing teams to partner effectively with Data Engineering and ML Engineering and to operationalize data, AI, and machine learning capabilities. Strong executive communication, stakeholder management, and cross functional leadership skills. Preferred Qualifications Experience with one or more enterprise-scale planning and forecasting platforms, such as Anaplan, Workday Adaptive Planning, or SAP Analytics Cloud, including solution design, model governance, integration, or platform administration. Experience leading software engineering teams building custom enterprise solutions using Golang, Java or comparable programming languages. Experience with event-driven and streaming architectures and enterprise integration patterns. Experience leading a portfolio of Finance SaaS solutions, such as Coupa, Rightsline, or comparable platforms, including vendor management, integration, lifecycle planning, and operational governance. Experience with SAP S/4HANA and integration of Finance applications and services with the core ERP environment. Experience in jointly delivering production AI or machine learning capabilities with Data Engineering and ML Engineering teams, including integration into enterprise applications or business processes. Understanding of how AI and machine learning can be applied responsibly to Finance use cases, including forecasting, predictive insights, anomaly detection, decision support, and process automation, with attention to data governance, security, privacy, and enterprise technology standards. Experience supporting technology enabled Finance transformation within a large, global organization. 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 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: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is seeking an NPI Quality Engineer II, Hardware to support Product Quality activities for hardware development programs from concept through launch. As a member of the Product Quality organization, you will partner closely with Hardware Engineering, Manufacturing Engineering, Supplier Quality, Reliability, Operations, and global manufacturing partners to help ensure products are designed, validated, and launched with exceptional quality. You will support quality planning, design and manufacturing risk management, validation, and launch-readiness activities while developing technical expertise in Product and NPI Quality. RESPONSIBILITIES: - Support Product Quality activities for assigned hardware development programs, components, or subsystems throughout development, validation, manufacturing readiness, and product launch. - Partner with Product Management and Systems Engineering to help translate Voice of Customer requirements into measurable product and engineering requirements. - Work cross-functionally with Hardware Engineering, Manufacturing Engineering, Supplier Quality, Field Quality, Reliability, Test Engineering, Operations, and manufacturing partners to identify potential failure modes and quality risks early in product development and track them through resolution. - Support and facilitate quality planning activities including DFMEA, CTQ definition, reliability planning, validation and verification, process capability, measurement system analysis, and launch-readiness reviews. - Analyze engineering and manufacturing data to identify product and process risks and support data-driven decision making. - Partner with Supplier Quality to support supplier and contract-manufacturer quality activities, including engineering drawing reviews, design-file reviews, control plans, inspection strategies, and process capability assessments. - Apply structured problem-solving methodologies to investigate product and manufacturing failures, support root-cause analysis, and drive corrective and preventive actions. - Support engineering builds and NPI activities, including identification, documentation, prioritization, and closure of quality issues. - Monitor product and process quality metrics and communicate significant trends, risks, and issues to the Product Quality team and cross-functional stakeholders. - Participate in cross-functional program and technical reviews, providing objective quality data and supporting risk and launch-readiness assessments. - Document lessons learned and help ensure relevant findings from development, validation, manufacturing, and field performance are incorporated into future product-development activities. - Contribute to the continuous improvement of Product Quality processes, tools, templates, and standards. - Willing and able to travel up to 15% internationally to partners, suppliers, and contract manufacturers. QUALIFICATIONS: - Bachelor's degree in Mechanical Engineering, Electrical Engineering, Manufacturing Engineering, Industrial Engineering, Quality Engineering, or a related technical discipline. - 3–5+ years of experience in Product Quality, NPI Quality, Manufacturing Quality, Product Engineering, or related engineering roles supporting consumer electronics, wearables, medical devices, or similarly complex hardware. - Experience supporting hardware products through one or more phases of product development, validation, manufacturing readiness, and/or launch. - Working knowledge of quality methodologies including DFMEA, PFMEA, CTQ, DOE, SPC, MSA, GR&R, root-cause analysis, CAPA/8D, and statistical quality methods. - Experience analyzing engineering and manufacturing data and applying structured problem-solving techniques. - Experience working with suppliers or manufacturing partners, preferably in a high-volume manufacturing environment. - Strong analytical and problem-solving skills with the ability to use objective data to identify and communicate product and manufacturing risks. - Effective written and verbal communication skills with the ability to collaborate across engineering and operations teams. - Ability to operate effectively in a fast-paced, collaborative environment while managing assigned priorities and deliverables. - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.   The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.   At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.   The U.S. base salary range for this full-time position is $120,000 - $160,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.   In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.   These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Location: Cyprus We are looking for an Assistant Project Coordinator to join our partner's construction team and work closely with an experienced Project Manager on the day-to-day delivery of construction projects. This is a great opportunity for an early-career professional with a background in Architecture, Civil Engineering, Construction Management, or a related field who wants to gain practical project management experience and develop within the construction industry. Responsibilities - Support the Project Manager with daily project coordination and administration - Follow up on construction progress, outstanding tasks, delays, and potential issues - Coordinate routine communication with contractors, subcontractors, consultants, suppliers, and site teams - Attend site meetings and prepare meeting notes, action points, and follow-ups - Help monitor that works are carried out according to approved drawings, specifications, and project requirements - Review and organize drawings, technical documents, schedules, reports, and project correspondence - Assist with project scheduling and preparation of regular progress updates - Support the coordination of materials, equipment, deliveries, and other site requirements - Assist with basic site and quality checks and escalate any concerns to the Project Manager Requirements - Degree or diploma in Architecture, Civil Engineering, Construction Management, or a related field is preferred - Previous construction experience is required; strong junior candidates with at least 0.5 years of relevant experience will also be considered - Basic understanding of construction processes, drawings, and building works - Ability to read architectural or engineering drawings would be an advantage - Familiarity with AutoCAD, project management tools, or construction documentation systems would be a plus - Strong organizational skills, attention to detail, and ability to manage multiple tasks - Confident communication with contractors and other project stakeholders - Fluent/native Russian - Good command of English

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. Our wearable technology and personalized insights help people optimize recovery, sleep, training, and overall health. As we continue to expand globally, ensuring our products meet evolving environmental regulations is critical to delivering innovative hardware to members around the world. We’re looking for a Senior Global Environmental Compliance Specialist to lead WHOOP’s global environmental product compliance. In this role, you’ll own the strategy, execution, and continuous evolution of our environmental compliance framework, ensuring our products meet global regulatory requirements throughout the product lifecycle while enabling rapid innovation and worldwide market access. RESPONSIBILITIES - Ensure WHOOP’s products meet environmental compliance standards in all current and planned global markets, including regulations such as RoHS, REACH, California Proposition 65, SCIP, POPs, battery, and packaging requirements. - Lead regulatory reporting, product declarations, and data submissions to ensure timely and accurate compliance across global markets. - Partner with Hardware, Operations and other cross-functional teams to ensure environmental compliance requirements are considered throughout product development, from concept through end of life. - Collaborate with Global Supply Management and suppliers to communicate evolving regulatory requirements, collect compliance documentation, and improve supplier readiness. - Monitor the global regulatory landscape, assess business impact, and provide recommendations that proactively address emerging environmental requirements. - Develop and improve compliance processes, documentation, and operational procedures that scale with WHOOP’s product portfolio. - Manage environmental compliance data and documentation within compliance management systems, identifying opportunities to improve efficiency through automation. - Develop and maintain Bio-compatibility testing standards as appropriate for wearable products. Ensure the team understands requirements applicable to each product and incorporates appropriate bio-compatibility tests early in development. - Partner with cross functional teams to satisfy Extended Producer Responsibility (EPR) obligations across global markets, including WEEE, Battery, and Packaging waste management registration, data reporting, and Producer Responsibility Organization (PRO) management. - Support company initiatives related to voluntary environmental standards and sustainability programs. QUALIFICATIONS - Required: Bachelor’s degree in Engineering or Science. Preferred: Materials focused degree or research. - At least 5 years of experience managing global environmental compliance for consumer electronics, wearables, or other hardware products. - Strong working knowledge of global environmental regulations, including RoHS, REACH, TSCA, California Proposition 65, SCIP, POPs, battery, and packaging requirements. - Experience managing environmental compliance data, documentation, and regulatory reporting using compliance management systems such as Greensoft or equivalent tools. - Demonstrated ability to interpret complex regulations and translate them into practical engineering and operational requirements. - Experience partnering across Engineering, Supply Chain, Operations, Quality, and Legal to drive compliance throughout the product lifecycle. - Excellent project management, communication, and organizational skills, with the ability to manage multiple priorities in a fast-paced environment. - Experience supporting voluntary environmental standards or sustainability certification programs. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.   The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.   At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.   The U.S. base salary range for this full-time position is $140,000 - $195,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.   In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.

Location: Boston, MA Workplace: OnSite At WHOOP, we’re on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies, behaviors, and daily lives.   WHOOP Labs is the on-site research facility for product development and innovation at WHOOP. We conduct human-centered hardware and algorithm research to create best-in-class product experiences that work for all members.   WHOOP is hiring a Senior Research Manager to lead research efforts on weekends, supporting critical data collection windows for participant diversity and expanded access. This is a senior leadership role responsible for overseeing the operation of WHOOP Labs Boston during weekend hours, and will help shape weekend research and community fieldwork strategy. As a strategic partner, program leader, and people manager, you will build deep relationships across the research leadership team, drive operational excellence during weekend hours, and develop a high-performing team delivering rigorous, high-impact research.   *This role is fully onsite at our Boston, MA office and follows a 4x10 schedule, with four 10-hour workdays each week, Friday through Monday, and three days off Tuesday through Thursday.   RESPONSIBILITIES - Partner with the rest of the Human Subjects Research leadership team to build a research roadmap, understand study priorities, and ensure high quality data collection across team shifts. - Collaborate with the Community Engagement Lead and wider Lab Operations team to support on- and off-site community engagement initiatives, helping to diversify participants in the WHOOP Labs research panel. - Own operational oversight of weekend WHOOP Labs Boston operation including participant experience, research session execution, and documentation for handoffs. - Provide feedback on “off hours” operations, contributing to team retros, participant compliance meetings, and other forums for senior leadership insight. - Serve as a senior individual contributor on complex research initiatives while championing participant experience and best practices in human subjects research. - Manage, coach, and develop a team of researchers and coordinators, fostering strong research craft, operational discipline, cross-functional collaboration, accountability, and continuous improvement.   QUALIFICATIONS - Bachelor’s or Master’s degree in Human Factors, Biomedical Engineering, Psychology, Exercise Science, or a related field. - 5+ years of experience conducting research for consumer products, ideally within hardware, wearables, or health technology environments, with demonstrated experience bridging technical requirements and human subject research practices. - 3+ years of people management experience, including coaching, performance development, and team scaling. Leading shift-based work teams a plus. - Proven ability to build trusted relationships, influence without direct authority, and communicate effectively with senior stakeholders through written and verbal communications. - Strong technological fluency, including experience with data management systems and leveraging AI tools to improve operational efficiency while maintaining research rigor and quality standards. - Experience overseeing emergency action planning and drills, safety and security initiatives, and confidence in supporting unexpected events as senior staff on site. - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions.   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $120,000 - $160,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Location: Boston, MA Workplace: OnSite At WHOOP, we’re on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies, behaviors, and daily lives.   WHOOP Labs is the on-site research facility for product development and innovation at WHOOP. We conduct human-centered hardware and algorithm research to create best-in-class product experiences that work for all members.   WHOOP is hiring a Researcher II to support research planning and execution on weekends, supporting critical data collection windows for participant diversity and expanded access. This role will cover a broad range of research studies for algorithm training, hardware validation, and design testing. While your home base will be WHOOP’s on-site product research facility, WHOOP Labs, studies will include field collections across the metro Boston area to widen access for diverse communities. Your efforts will support the organization as we continue to develop a best-in-class experience and lead the wearables industry.   *This role is fully onsite at our Boston, MA office and follows a 4x10 schedule, with four 10-hour workdays each week, Friday through Monday, and three days off Tuesday through Thursday.   RESPONSIBILITIES - Execute testing protocols across multiple concurrent studies, owning research execution on weekends and collaborating with other researchers on Friday and Monday to ensure consistent protocol administration across all days and shifts. - Own research documentation for weekend hours, collaborating with other researchers on Friday and Monday to ensure effective handoffs and information transfer across shifts. - Provide coaching and guidance to participants during exercise protocols, balancing data integrity, research best practices, and participant experience - Create a supportive and welcoming environment for participants engaging in a range of research tasks, from exercises to device interactions - Manage the use, troubleshooting, and upkeep of sensitive data collection equipment and prototype devices - Develop strong working knowledge of WHOOP’s research platform tooling suite, with the ability to troubleshoot issues in real time—including during active data collections—and problem-solve on the fly - Develop junior researchers by providing technical coaching, delegation, constructive feedback, and growth opportunities - Own daily lab management tasks required for data collections to be successful, such as laundry, equipment cleaning, material organization, and overall lab readiness - Serve as an ambassador for WHOOP Labs and the WHOOP brand   QUALIFICATIONS - Bachelor’s Degree in human physiology, biomedical engineering, psychology, HCI, or similar - Professional experience in research & development, human subjects research, or a related field, including 2+ years of experience conducting human subjects research - Strong technological background and working knowledge of data management systems including the Google Suite - Familiarity with research platform tools and hardware testing environments preferred - Strong interpersonal communication skills with a savvy for working as part of a highly collaborative, fast-paced team - Ability to manage multiple priorities and adapt quickly in dynamic research settings - Prior experience in customer service or other public-facing roles a plus - Strong written, verbal, and presentation skills, with confidence giving and receiving feedback across disciplines   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $75,000 - $95,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Location: Limassol, Cyprus About us Freedom Finance Europe Ltd is a regulated European online broker headquartered in Cyprus, providing access to US, European and Asian capital markets and a broad range of investment services and financial products. We operate in a fast-moving, highly regulated environment where product speed, client trust, marketing accuracy, regulatory discipline and legal architecture must work together. We are now strengthening our Legal Unit and looking for a senior legal leader to head one of its key expert departments. About the role The Senior Legal Counsel will provide practical, business-oriented legal support across brokerage, investment services, products, commercial agreements, client-facing documentation and regulated communications. This is a senior individual-contributor role for an experienced in-house lawyer who can combine strong legal judgement with hands-on drafting, negotiation and cross-functional collaboration. The role also involves turning recurring legal work into clear, reusable templates, playbooks and standards. The position reports to the Head of Brokerage, Product & Commercial Legal. Provide legal support for the Company’s regulated brokerage model, investment services and product-led initiatives. Assess new products, commercial initiatives, client journeys and distribution scenarios, identifying relevant legal and regulatory requirements and practical execution options. Analyse and apply applicable CySEC, MiFID II/MiFIR, EU financial services, conduct of business, disclosure, prospectus, data protection and sanctions-related requirements. Draft, review and negotiate brokerage, product and commercial agreements with clients, partners, counterparties, service providers, banks, payment institutions, introducing brokers, vendors and other third parties. Own, draft, review and update Terms of Business, disclosures, product terms, client forms, prospectus-related materials, website and platform wording, disclaimers and other client-facing documentation. Review marketing materials, campaigns, claims, presentations, website content, landing pages, client communications and sales initiatives; identify risks and suggest practical alternatives. Review platform flows and client journeys to identify legal, disclosure, transparency and conduct-related risks. Prepare legal positions and response strategies for complex client complaints and pre-dispute matters, including legally sensitive communications and escalation packs. Support relevant teams on sanctions, restrictions and asset-unblocking matters, and coordinate with external counsel when required. Support GDPR and data-protection legal analysis where it intersects with the department’s work. Develop and maintain templates, standard clauses, negotiation playbooks, checklists and other repeatable legal solutions. Work closely with Compliance, Risk, Product, Marketing, Sales, Operations, Client Support, IT, Finance, Document Management and other stakeholders. Support and guide junior or mid-level team members when required, helping maintain the quality and consistency of legal work. Escalate matters that may affect the Company’s licence, regulatory position, client rights, reputation or material financial exposure. Requirements 7–9+ years of relevant legal experience in an in-house legal function of a Cyprus Investment Firm, regulated financial institution, broker, fintech company or a law firm supporting such clients; Law degree. Common-law qualification/JD or civil-law equivalent with strong exposure to common-law drafting and international transactions is preferred; Strong understanding of brokerage, capital markets, investment services, advisory/portfolio management business, client documentation and regulated product distribution; Strong knowledge of CySEC/CIF regulatory environment, MiFID II/MiFIR, applicable EU financial services regulation, GDPR/data protection, sanctions-related regulation, commercial contracts and client-facing legal documentation; Strong drafting and negotiation skills in English and Russian; ability to prepare concise legal memos, business-friendly advice and contract-ready wording; Advanced user of Microsoft Office and ability to work with legal tech, document management, task management and knowledge management tools. Benefits Work in a modern office in the center of Limassol with an open-minded and professional team; Relocation package, including reimbursement for flights and accommodation for 1 month; Visa sponsorship for the employee and their family members; The company covers 50% of the annual cost of the health plan, which the employee can choose with any insurance company; Company-provided life insurance; 21 working days of paid vacation; 12 additional days off per year, provided by the company; Paid sick leave; Team-building activities, corporate events, football and volleyball clubs, sports events, and challenges.

Location: Boston, MA Workplace: OnSite At WHOOP, we’re on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. Our wearable technology collects rich physiological data, providing members with actionable insights into their recovery, training, and sleep. The Health team develops the algorithms and features that expand WHOOP's health sensing capabilities. The work spans women's health, software as a medical device, wellness and longevity, member insights, and emerging health signals. We combine continuous physiological data with clinical research and domain expertise to ship features that are scientifically grounded and useful to millions of members. As a Staff Applied Machine Learning Scientist on the Health team, you will turn ambiguous clinical and product questions into defensible studies, models, and evaluation plans on WHOOP's longitudinal wearable and member data (physiological signals, behavioral logs, labs and integrations, and related streams). You will set the methodological bar for a Health domain. You will partner with Machine Learning Engineers on the path to production, and with Product, clinical, and Digital Health partners on what the data can and cannot support. Success in this role requires applied algorithm and statistical craft, the judgment to operate across Health problem types, and Staff-level leadership: launching domain work independently, raising the quality and velocity of the people around you, and making clear prioritization calls under uncertainty. RESPONSIBILITIES - Lead the design, development, and validation of machine learning and statistical methods for Health features, using wearable physiological and behavioral data and related member sources. - Frame ambiguous health and product questions into well-scoped modeling or study problems, with clear performance criteria, evaluation plans, and honest treatment of uncertainty and failure modes. - Set the methodological and quality standard for a Health domain: reusable evaluation practices, review expectations, and documentation that others can inherit. - Develop and refine approaches for time-series, longitudinal, and multimodal data, including data curation, labeling strategy, feature and representation choices, and offline evaluation that holds up under real-world noise, missingness, and population shift. - Partner with Machine Learning Engineers to translate validated methods into production-ready systems, making modeling choices that account for scalability, reliability, latency, cost, monitoring, and (where relevant) controlled-release constraints. - Serve as a technical counterpart to Product and Digital Health (clinical science, regulatory, quality): pressure-test performance requirements, study design, and evidence quality, and push back when a claim is not supportable. - Raise the quality and velocity of the scientists and engineers around you through design reviews, mentorship, and the judgment of when to coach someone else to champion a problem versus taking it yourself. - Communicate trade-offs, risks, and results clearly to technical, clinical, product, and leadership audiences; prevent misalignment early; drive decisions with evidence and a clear point of view on domain direction. QUALIFICATIONS - Master's or PhD (or equivalent professional experience) in Biomedical Engineering, Electrical Engineering, Computer Science, Applied Mathematics, Biostatistics, Bioinformatics, Physiology, or a related quantitative or health-science field. - 7+ years of professional experience developing algorithms, applied ML models, or statistically rigorous analyses in health, wearables, medical devices, digital health, or a closely related domain. - Demonstrated Staff-level technical leadership: setting methodological standards others reuse, influencing multi-team outcomes, mentoring senior ICs, and making prioritization calls under uncertainty. End-to-end project ownership alone is not sufficient. - Strong foundation in statistics (Bayesian and frequentist) and machine learning for time-series and longitudinal data, with the ability to draw defensible conclusions from observational, noisy, or otherwise messy real-world data. - Experience with wearable or physiological signals (PPG, IMU, HR/HRV, sleep, activity, temperature, or similar) or a closely related adjacent time-series domain. - Hands-on experience designing studies or evaluation protocols end-to-end: data curation, metric choice, validation splits, subgroup and failure analysis, and documentation of assumptions and limitations. - Strong Python skills with reproducible scientific / ML engineering hygiene (clean, reviewable code; comfort with stacks such as NumPy/SciPy/pandas, scikit-learn, PyTorch/TensorFlow). - Clear, high-signal communicator who can move between deeply technical method discussions and cross-functional conversations with Product, clinical partners, and leadership. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

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. Tableau Developer, People Analytics (6-Month Contract) Remote (Preference for CST) About the Team At PlayStation, we're not just building the Best Place to Play — we're also building the Best Place to Work. The People Analytics team within Sony Interactive Entertainment's (SIE) People & Places organization partners with leaders across the business to transform people data into meaningful insights and smarter decisions. We're a small but mighty team passionate about making data more accessible, actionable, and engaging for the people who use it. We're currently on a mission to level up our entire portfolio of People Analytics dashboards — reimagining how we visualize workforce and workplace data, expanding access to insights, and empowering more leaders to make informed decisions through intuitive, self-service analytics. We're looking for an experienced Tableau Developer to join us on a 6-month contract and help bring this vision to life. About the Role As a Tableau Developer on the People Analytics team, you'll play a critical role in modernizing our dashboard portfolio, combining exceptional data visualization skills with the technical expertise needed to make people data more accessible without compromising security. You'll focus on two key priorities: Dashboard Modernization: Transform existing Tableau dashboards into visually compelling, intuitive, and high-impact analytical products. Improve aesthetics, functionality, usability, and content to help our stakeholders find the insights they need and understand what actions to take. Expanded Access & Row-Level Security: Design and implement scalable row-level security solutions within Tableau, enabling us to safely expand dashboard access to new audiences while ensuring users see only the employee data they're authorized to access. This is a hands-on role for someone who loves building exceptional data products, enjoys solving technical challenges, and takes pride in creating solutions that people genuinely want to use. What You'll Be Doing Dashboard Design & Development Lead the redesign, development, and enhancement of existing Tableau dashboards, incorporating modern data visualization best practices, intuitive navigation, and engaging user experiences. Partner with People Analytics team members and stakeholders to understand business questions, identify opportunities for improvement, and translate requirements into effective dashboard solutions. Optimize dashboard performance, usability, and maintainability, ensuring solutions are scalable and deliver a seamless user experience. Incorporate user feedback into iterative improvements, balancing visual appeal, analytical accuracy, and practical business needs. Build dashboards that empower stakeholders to independently explore data, answer business questions, and make informed decisions. Row-Level Security & Data Access Design, implement, test, and maintain robust row-level security (RLS) solutions within Tableau to support expanded access to sensitive employee data. Develop scalable security models that dynamically restrict data visibility based on user identity, organizational hierarchy, role, or other defined access permissions. Collaborate with People Analytics and relevant technology/security partners to ensure security implementations align with organizational data governance and privacy requirements. Validate security configurations through comprehensive testing, including different user roles, access scenarios, and organizational changes. Document security architecture, configuration, and maintenance procedures to enable reliable ongoing administration by the People Analytics team. Data Integration & Technical Excellence Develop and optimize Tableau data sources, connections, and underlying data models, primarily leveraging Snowflake. Write and optimize SQL queries to extract, transform, and prepare data for dashboard development. Troubleshoot data quality, performance, and integration issues across dashboards and underlying data sources. Identify opportunities to simplify, automate, and standardize dashboard development and maintenance processes. Collaborate with team members to ensure knowledge transfer, thorough documentation, and sustainable solutions beyond the contract period. What We're Looking For Required Qualifications Significant hands-on experience developing, deploying, and maintaining complex Tableau dashboards in a professional environment. Advanced Tableau expertise , including dashboard design, calculated fields, parameters, filters, actions, data modeling, performance optimization, and visualization best practices. Demonstrated experience designing, implementing, and maintaining row-level security in Tableau , including user-based access controls, entitlement/security mapping, and dynamic data filtering. Strong understanding of Tableau's security architecture and how permissions, data sources, and row-level security interact. Proficiency working with relational databases and querying data using SQL or comparable technologies. Strong analytical and problem-solving skills, with the ability to troubleshoot complex technical challenges independently. Experience translating business requirements into intuitive, high-quality analytical products. Excellent attention to detail, particularly when working with sensitive or confidential information. Strong communication and collaboration skills, with the ability to work effectively with technical and non-technical stakeholders. Ability to independently manage priorities, deliver high-quality work within defined timelines, and document solutions for long-term sustainability. Preferred Qualifications Bachelor’s degree or equivalent Experience with Snowflake , including querying, data modeling, and optimizing Tableau connections to Snowflake datasets. Experience with Alteryx or similar ETL/data preparation tools for automating data transformation and integration workflows. Experience working with HRIS or People Analytics data, particularly employee records, organizational hierarchies, and workforce metrics. Familiarity with enterprise Tableau environments, including Tableau Server or Tableau Cloud administration, permissions, and governance. Experience implementing dynamic row-level security based on organizational hierarchies or complex business rules. Experience modernizing existing dashboard portfolios, including establishing reusable design patterns and development standards. Familiarity with Workday or other enterprise HR systems. Who You Are Design-minded: You believe a great dashboard should be as intuitive and engaging as it is analytically rigorous. Technically curious: You enjoy untangling complex data and security challenges and finding elegant, scalable solutions. Impact-driven: You care about more than delivering a dashboard — you want to know whether people use it and whether it helps them make better decisions. Collaborative: You're an approachable partner who welcomes feedback, shares knowledge, and helps others succeed. Detail-oriented: You understand that accuracy, privacy, and security are non-negotiable when working with people data. Pragmatic and adaptable: You balance innovation with practical execution, recognizing that delivering sustainable improvements matters more than chasing perfection. The Impact You'll Make By the end of this 6-month engagement, you'll have helped transform how leaders across PlayStation access and interact with workforce insights. Your work will contribute to a modernized, more intuitive dashboard portfolio, a scalable foundation for secure access to people data, and a more self-sufficient People Analytics team equipped to maintain and expand these capabilities into the future. Most importantly, you'll help us turn people data into better decisions — and better experiences for the people who make PlayStation extraordinary. At SIE, working with our partners, 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 individual base pay range may vary based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for benefit offerings that include medical, dental, and vision. Click here to learn more. This is a flexible role that can be remote, with varying pay ranges based on geographic location. For example, if you are based out of Seattle, the estimated base pay range for this role is listed below, this is an hourly rate. $73 — $109 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 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: United States, Austin, TX 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. Data Engineer PlayStation's Infrastructure Business Operations team is looking for a Data Engineer to build the data foundation for understanding the cost, utilization, and economics of PlayStation’s global infrastructure. Our infrastructure spans data centers, compute, storage, networking, Kubernetes, public cloud, SaaS, and other technology services. You will work alongside our engineering, product, finance, FinOps, and operations teams to build a data platform that can connect these disparate data sources into a trusted view of how our infrastructure is used, what it costs, and ultimately how those costs contribute to the economics of our products. You will own the end-to-end implementation, starting with identifying the questions that matter, determining the data required to answer them, building the pipelines and models to make that data reliable and accessible, and finally turning it into insights that drive better decisions. What You’ll Do Build scalable data pipelines that ingest, transform, and combine physical infrastructure, engineering system, financial, and product data. Develop cost and allocation models that connect infrastructure consumption to workloads, services, features, and products. Partner with engineering teams to understand complex infrastructure and identify the telemetry and instrumentation needed to measure it. Analyze infrastructure cost, utilization, capacity, and unit economics to help drive key business decisions across all our teams. Create trusted metrics, datasets, dashboards, and analytical tools used by engineering, product, Finance, and leadership. Establish strong practices around data quality, testing, observability, documentation, and reproducibility. Explore new data sources and technologies that improve how we understand and operate our infrastructure. What We’re Looking For 3+ years in a similar role, focused on building production data pipelines, data models, and analytical systems. Advanced SQL skills and proficiency with Python or similar data-oriented programming languages. Experience with modern data platforms and tooling such as Snowflake, Databricks, dbt, and automated ETL/ELT pipelines. Strong analytical skills—you’re comfortable investigating the data yourself, challenging results, and translating findings into clear conclusions. Experience working with large, complex datasets across multiple systems and levels of granularity. Ability to translate ambiguous business and technical problems into measurable requirements and scalable data solutions. Experience and flexibility with current analytics and visualization tools. Familiarity with teams and engineering systems that utilize both on-prem and cloud infrastructure. Strong communication skills and the ability to work across global engineering, product, Finance, and business teams. Nice to Have Bachelor’s degree in computer science Experience with AWS, Google Cloud, or Azure billing and usage data. Experience with Kubernetes telemetry, networking, or data center operational data. Familiarity with infrastructure cost allocation, unit economics, capacity planning, forecasting, or FinOps. Experience connecting technical infrastructure consumption to product or business metrics. PlayStation isn't just the Best Place to Play - it's also the Best Place to Work. We've thrilled gamers since 1994 when we launched the original PlayStation. Today, we're recognized as a global leader in interactive and digital entertainment. The PlayStation brand falls under Sony Interactive Entertainment, a wholly owned subsidiary of Sony Corporation. Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to race, color, religion, gender, pregnancy, national origin, ancestry, citizenship, age, legally protected physical or mental disability, covered veteran status, status in the U.S. uniformed services, sexual orientation, marital status, genetic information 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. We sincerely appreciate the time and effort you spent in contacting us and we thank you for your interest in PlayStation. 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 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: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers its members to improve their health and perform at a higher level by providing a deep understanding of their bodies and daily lives. The Health team develops the algorithms and features that expand WHOOP's health sensing capabilities. The work spans women's health, wellness and longevity, member insights, emerging health signals, and software as a medical device. Applied ML Scientists and ML Engineers work as a production unit: scientists own problem framing and modeling; engineers own the path to production. As a Senior Manager, Machine Learning on the Health Insights team, you will own delivery and people outcomes across a mixed team of scientists and engineers. You will translate department strategy into clear quarterly plans, develop senior ICs (and, as the team grows, the next layer of managers), hire against a high bar for both crafts, and partner with Product and adjacent Health partners on what is worth building and what the data can support. You will stay close enough to the ML lifecycle to evaluate the team's most important decisions without becoming the default contributor. Success in this role requires enough ML and health-domain fluency to earn trust from senior ICs, plus the people-leadership skill to grow that team, hold delivery across multiple workstreams, and make prioritization calls under uncertainty. RESPONSIBILITIES: - Own delivery, team health, and people outcomes across Health ML workstreams on a mixed Applied ML Scientist and ML Engineer team. - Translate department strategy into quarterly plans, milestones, and success criteria; keep the team on the highest-leverage work and adapt deliberately as priorities shift. - Build the team: lead hiring across science and engineering roles, calibrate the bar for each craft, and shape onboarding, leveling, and growth practices. - Develop the next layer of leadership: coach senior ICs (and managers, as the scope grows), manage performance with clarity and care, and create the conditions for people to operate above their level. - Set the standard for how Health ML gets built: work quality, evaluation rigor, review practices, and an operating model that holds as people and workstreams change. - Partner directly with Product (and with clinical, software, and Digital Health partners as the work requires) to align on roadmap, evidence, and sequencing; broker trade-offs between iteration speed, scientific integrity, and member value. - Own the risk posture for the team: anticipate execution, technical, and people risks, design mitigation into how the team operates, and keep senior leadership clearly informed of the most consequential decisions. - Define and own the operating model: planning cadences, design reviews, decision forums, and quality gates appropriate to member-facing health ML. - Build and continuously raise AI-enabled workflows that create measurable leverage across the team, for development, evaluation, documentation, and stakeholder communication. - Represent the team's work credibly to executive and cross-functional audiences with brevity, evidence, and clarity. QUALIFICATIONS: - 7+ years of experience in machine learning, applied science, or software engineering, with 3+ years managing engineering and/or science teams. - Bachelor's degree in Computer Science, Engineering, Applied Math, Biomedical Engineering, or a related field; advanced degree preferred. - Demonstrated track record managing highly senior ICs: hiring, performance management, and developing people who in turn raise the bar around them. - Deep familiarity with the ML development lifecycle (data collection, model training, evaluation, validation, deployment, and monitoring), sufficient to evaluate the most important technical and methodological decisions the team makes. - Experience shipping algorithms or ML-enabled product in health, wearables, digital health, or a closely related applied domain. - Demonstrated ability to set direction and make timely prioritization calls under uncertainty, keeping team focused on the highest-leverage work. - Demonstrated AI-tooling sophistication: a track record of building or adopting AI-enabled workflows that materially improved team speed, quality, or decision confidence. - Clear, high-signal communicator who can move fluidly between technical ML discussions and executive-level summaries of risk, trade-offs, and direction. - Depth in a Health domain WHOOP already works in preferred (member insights, women's health, cardiometabolic or respiratory health, sleep, strength / healthspan, neuroscience, or related physiological time-series work). - Preferred experience as a counterpart to Product on ambiguous health or member-insight problems: scoping, sequencing, and pushing back when a claim is not supportable. - Familiarity with clinical validation, evidence packages, or Digital Health partnership on higher-stakes health features preferred.   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.   The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.   At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.   The U.S. base salary range for this full-time position is $170,000 - $230,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.   In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.   These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.   Learn more about WHOOP https://www.whoop.com/us/en/careers/?srsltid=AfmBOopKmph9d0DLBlogZu8mx6do0dzjNS8eJlfc4PQqQtdU6F8DGKBg.

Location: Boston, MA Workplace: OnSite At WHOOP, we’re on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. Our wearable technology collects rich physiological data, providing members with actionable insights into their recovery, training, and sleep. We are seeking a Staff AI/ML Researcher to join our Foundation AI team. This team builds the multimodal foundation models that underpin WHOOP’s next generation of intelligent, personalized, and health-enhancing experiences. These models integrate data across wearable sensors, language, biomarkers, clinical information, and self-reported inputs to create scalable AI systems that understand human physiology and behavior. In this role, you’ll serve as a staff individual contributor driving the research, development, and deployment of large-scale multimodal models. You’ll collaborate closely with data scientists, ML engineers, and cross-functional partners to push the boundaries of deep learning and ensure our models deliver measurable value to WHOOP members. RESPONSIBILITIES: - Design, train, and optimize large-scale multimodal foundation models that integrate wearable sensor data, text, biomarkers, and behavioral data. - Conduct applied research in self-supervised learning, representation learning, and downstream task fine tuning to advance WHOOP’s core model capabilities. - Develop scalable, distributed training pipelines for large models on high-performance compute environments. - Collaborate with MLOps, data engineering, and software engineering teams to operationalize models for production deployment, ensuring robustness, reproducibility, and observability. - Partner with product and research teams to translate foundation model capabilities into downstream features that deliver meaningful member value. - Contribute to the technical roadmap and architectural direction for foundation model development at WHOOP. - Serve as a technical mentor for other data scientists, sharing best practices in deep learning, large-scale training, and multimodal data integration. - Ensure models adhere to WHOOP’s standards for ethical, transparent, and privacy-preserving AI. QUALIFICATIONS: - Advanced degree (Master’s or Ph.D.) in Computer Science, Machine Learning, Electrical Engineering, or a related field, or equivalent professional experience. - 7+ years of experience in applied ML, AI research, or large-scale modeling, with a track record of delivering production systems. - Expertise in modern deep learning (e.g., transformers, state space models), multimodal model training. - Proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow). - Experience building and scaling large datasets and training large models in mulit-node, multi-gpu distributed compute environments. - Familiarity with best practices for data, model, and context parallelisms. - Strong applied experience with representation learning, self-supervised methods, and post-training for downstream applications. - Experience with reinforcement learning for post-training foundation models (PPO, DPO, GRPO etc.). - Familiarity with MLOps best practices including model versioning, evaluation, CI/CD for ML, and cloud-based compute. - Excellent communication skills and ability to collaborate cross-functionally with engineers, researchers, and product teams. - Passion for WHOOP’s mission to improve human performance and extend healthspan through science and technology. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. Our wearable technology collects rich physiological data, providing members with actionable insights into their recovery, training, and sleep. We are seeking a Senior Applied ML Algorithm Engineer to develop and deploy signal processing algorithms and machine learning models that transform raw sensor data into accurate, reliable, and real-time physiological insights on WHOOP devices. In this hands-on role, you will own algorithm development from data analysis, model training, and Python prototyping through efficient C/C++ implementation, firmware integration, and production validation. Working closely with Data Science, Firmware, Hardware, and domain experts, you will deliver robust on-device algorithms that improve the member experience while meeting the power, memory, compute, and latency constraints of wearable hardware. RESPONSIBILITIES: - Design and develop algorithms that combine signal processing, feature extraction, and machine learning to derive meaningful physiological insights from wearable sensor data. - Analyze large-scale, noisy sensor datasets to train and evaluate models, identify performance gaps, and improve accuracy, robustness, and generalization across diverse members and real-world conditions. - Translate algorithm prototypes and trained models into production-ready C/C++ implementations, optimizing signal processing pipelines and on-device inference for accuracy, power, memory, compute, and latency. - Partner closely with Firmware and Hardware teams to integrate algorithms into production firmware, validate execution on target hardware, and resolve differences between prototype and embedded performance. - Define performance metrics and rigorous validation plans, combining offline evaluation, lab-based experiments, real-world data analysis, and on-device testing to assess algorithm accuracy, reliability, and efficiency. - Collaborate with Data Science, Software, Product, and domain experts to translate research findings into production-ready capabilities, investigate post-deployment performance gaps, and drive continuous algorithm improvement. QUALIFICATIONS: - 5+ years of experience developing signal processing and machine learning algorithms for time-series or sensor data in real-world applications. - MS or PhD in Electrical Engineering, Biomedical Engineering, Computer Science, or a related quantitative field, or equivalent practical experience. - Strong foundation in digital and statistical signal processing for noisy time-series data. Experience with physiological signals or wearable sensors is a plus. - Proficiency in Python for data analysis, model development, and experimentation, and C/C++ for implementing efficient algorithms in embedded firmware. - Experience developing, training, and evaluating machine learning models using frameworks such as TensorFlow, PyTorch, or scikit-learn. - Demonstrated experience deploying machine learning models to resource-constrained embedded systems, including optimization across accuracy, power, memory, compute, and latency. - Ability to independently investigate complex algorithmic problems, design rigorous validation experiments, and communicate technical tradeoffs with firmware, hardware, and data science partners. - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-Verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. Our wearable technology collects rich physiological data, providing members with actionable insights into their recovery, training, and sleep. We are seeking a Senior Sensor Algorithm Engineer to develop and deploy algorithms for physiological sensors including optical sensor and inertial measurement unit (IMU) data into accurate, reliable, and real-time insights on WHOOP devices. This hands-on role centers on digital and statistical signal processing, sensor fusion, and model-based state estimation, with a particular focus on accelerometer and gyroscope data. You will own algorithm development from sensor characterization, mathematical modeling, and Python prototyping through efficient C/C++ implementation, firmware integration, and production validation. Working closely with Firmware, Hardware, Data Science, and Product, you will deliver robust on-device algorithms that perform reliably across diverse members and real-world conditions while meeting the constraints of wearable hardware. RESPONSIBILITIES - Design and develop real-time signal processing and sensor fusion algorithms that combine Sensor measurements inputs to characterize motion and deliver reliable member-facing insights. - Develop and tune model-based estimators for orientation and motion, including sensor bias estimation, uncertainty propagation, and drift mitigation under changing movement and sensing conditions. - Build robust IMU processing pipelines, including filtering, calibration, time synchronization, resampling, coordinate transformations, and compensation for sensor noise and systematic errors. - Analyze large-scale, noisy wearable datasets to identify failure modes and improve robustness across motion patterns, device orientation, fit, and individual movement characteristics. - Translate algorithm prototypes into production-ready C/C++ implementations, balancing accuracy with power, memory, compute, numerical stability, and latency. - Partner with Firmware and Hardware teams on sensor configuration, sampling strategies, and on-device integration; investigate differences between prototype behavior and performance on target hardware. - Define performance metrics and rigorous validation plans using reference measurements, controlled experiments, real-world data, and on-device testing to assess accuracy, robustness, and long-duration stability. - Own technical decisions for complex algorithm components, contribute to design and code reviews, mentor teammates, and collaborate across functions to investigate post-deployment issues and drive continuous improvement. QUALIFICATIONS - 5+ years of experience developing and deploying signal processing, sensor fusion, or state-estimation algorithms for real-world sensor applications, including substantial hands-on work with IMU data. - MS or PhD in Electrical Engineering, Biomedical Engineering, Computer Science, Applied Mathematics, or a related quantitative field, or equivalent practical experience. - Strong foundation in digital and statistical signal processing, including filtering, spectral analysis, stochastic processes, and sensor noise characterization. - Demonstrated experience with accelerometer and gyroscope processing, IMU calibration, sensor error modeling, bias estimation, and drift management. - Strong experience with Kalman filtering, including extended or error-state formulations, and model-based sensor fusion; practical understanding of nonlinear estimation, uncertainty propagation, and estimator failure modes. - Practical knowledge of 3D motion and orientation representations, including coordinate frames, rotation matrices, quaternions, and rigid-body kinematics. - Proficiency in Python for algorithm development, data analysis, and experimentation, and C/C++ for efficient embedded implementation; demonstrated experience deploying algorithms to resource-constrained hardware. - Ability to independently investigate complex algorithmic problems, design rigorous validation experiments, and communicate technical tradeoffs with firmware, hardware, and cross-functional partners. - Experience with body-worn sensors, human-motion modeling, motion segmentation, or periodicity analysis is highly desirable. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don't meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-Verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Location: United States, San Mateo, CA 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. Sony Interactive Entertainment Security Architecture | Cloud | AI Security | Enterprise Platforms We are seeking a Staff Security Architect to help shape and secure the next generation of enterprise, cloud, platform, and AI-enabled technology. This role combines deep security architecture expertise with strong engineering judgment and the ability to influence technical direction across complex, global environments. The successful candidate will partner with engineering, infrastructure, product, and security teams to identify systemic risk, develop scalable security patterns, and guide secure adoption of emerging technologies, including generative AI and agentic systems. Key Responsibilities Design, review, and approve security architecture for enterprise, cloud, SaaS, platform, and application environments, balancing business objectives, engineering constraints, and risk. Lead cloud security architecture across AWS, Google Cloud, and hybrid environments, including identity, network security, data protection, logging and monitoring, key management, workload isolation, security posture management, and the effective use of native and third-party cloud security controls. Define and review security architecture for SaaS and PaaS platforms, including identity federation, privileged access, tenant configuration, data protection, API and integration security, logging, third-party risk, and secure adoption of enterprise SaaS services. Drive security throughout the software delivery lifecycle, including source control, CI/CD pipelines, build systems, artifact repositories, infrastructure as code, secrets management, code and artifact signing, software provenance, deployment automation, and security controls for developer platforms. Lead security architecture for AI-enabled systems, including generative AI, large language models, retrieval-augmented generation, AI agents, model-serving platforms, and AI-assisted developer workflows. Design mitigations for risks such as prompt injection, insecure tool use, excessive agency, sensitive-data disclosure, model or supply-chain compromise, unsafe output handling, and abuse of AI services. Define security requirements for AI data, models, prompts, embeddings, vector stores, APIs, tools, and agent identities, including least-privilege access, secrets management, encryption, isolation, provenance, logging, monitoring, and lifecycle controls. Architect and improve identity, authentication, authorization, network security, key management, cryptography, application security, and production security controls across complex environments. Identify security design gaps in existing and proposed systems; translate findings into practical architecture improvements, reference patterns, hardening standards, preventative controls, and responsible automation that improves repeatability and operational effectiveness. Provide technical leadership across multi-disciplinary teams, clearly articulating risks, tradeoffs, and recommended solutions to engineering leaders, business stakeholders, and audiences without a security background. Required Qualifications 15+ years of relevant experience in security architecture, security engineering, product security, cloud security, infrastructure security, or related disciplines, with demonstrated leadership at senior or staff level. Deep knowledge of security architecture principles across cloud, application, network, identity, platform, infrastructure, and enterprise environments. Hands-on experience designing or securing cloud-based and containerized environments, including major cloud platforms such as AWS or Google Cloud. Strong understanding of modern identity and access management, PKI, OAuth/OIDC, SAML, TLS, VPNs, secrets management, key management systems, cloud KMS, and HSMs. Expertise in network and application security controls such as WAFs, NGFWs, segmentation, DMZ design, DDoS mitigation, load balancing, proxies, intrusion detection/prevention, and host-based controls. Experience with secure software development, threat modeling, CI/CD and developer platforms, application security, and engineering mitigations across the software lifecycle. Working knowledge of AI/ML security concepts and the ability to evaluate security risks in generative AI, LLM, and agentic system architectures, including data flows, trust boundaries, model access, and tool integrations. Strong critical thinking, risk prioritization, communication, and influence skills, with the ability to lead through ambiguity and work effectively across global, cross-functional teams. Bachelor's degree in Computer Science, Mathematics, Engineering, Information Security, or equivalent practical experience. Preferred Qualifications Experience securing AI/ML platforms, generative AI applications, model gateways, RAG architectures, vector databases, or agentic workflows in production environments. Experience with AI security evaluation, red teaming, adversarial testing, model abuse testing, or control validation for AI-enabled systems. Experience securing large-scale Linux, distributed, multi-tenant, or high-availability production environments. Development or automation experience in Python, C++, Java, or similar languages. Recognized technical leadership through patents, publications, open-source contributions, conference participation, teaching, or security community involvement. Penetration testing, adversarial security, or attacker-minded design experience. Master's degree or Ph.D. in Computer Science, Mathematics, Engineering, Information Security, or a related field. 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 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: United Kingdom, Bristol 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. About the role We’re looking for a proactive, organised Office Coordinator to help keep our Bristol office running smoothly. You’ll be a welcoming first point of contact for colleagues and visitors, and a dependable source of support for the wider team. This is a varied, hands-on role for someone who enjoys helping others, spotting what needs doing and making the workplace a great place to be. What you’ll do Welcome staff and visitors and respond to everyday queries Provide administrative support to the Senior Leadership Team and colleagues Raise purchase orders, submit goods receipts and keep purchasing records accurate Support business travel arrangements and general HR administration Manage correspondence, records, reports and ad hoc administrative projects Liaise with suppliers and building management Order and monitor office supplies, and coordinate visitors and couriers Organise catering and small internal events Support office health, safety and security procedures What we are looking for: Experience in office coordination, reception, workplace operations or a similar customer-facing administrative role Strong organisational skills and the ability to manage competing requests A welcoming, service-minded approach to supporting colleagues and visitors Confidence using everyday office systems and maintaining accurate records Good judgement and discretion when handling confidential information A practical, adaptable approach, with the confidence to take initiative 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 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: United States, San Diego, CA 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. Software Engineer, AI/ML Sony Interactive Entertainment (SIE) PlayStation; San Diego, CA Who we are The Direct to Consumer (D2C) Data Science organization comprises Data Science, Data Engineering and ML Engineering practices. D2C Data Science helps PlayStation grow and operate its digital business across commerce, subscriptions, payments, lifecycle experiences and player-facing services. We partner with product, engineering, finance, marketing and operations teams to turn experimentation, forecasting, AI and production-quality measurement into better player experiences. Role overview Within D2C Data Science, the D2C ML Engineering team is seeking a software engineer to help design, build, and support production AI platform capabilities that solve high-value business problems across the broader digital commerce ecosystem. This is not a model-training or predictive-platform ownership role; it is an engineering role focused on turning AI into dependable products, services, and automation. The ideal candidate is a strong software engineer with backend experience and practical hands-on applied AI experience. What you’ll be doing: Create services, workflows, and reusable components for LLM-powered solutions. Collaborate with stakeholders to understand use cases, identify if and how AI could be used, prototype solutions, measure outcomes, and help move proven capabilities into production. Develop scalable APIs, microservices, and event-driven workflows in Python or Java, with attention to reliability, resilience, security, cost efficiency, and clean integration with existing services. What we’re looking for: Bachelor's or Master’s degree in computer science, engineering or related with 2+ years of professional software engineering experience. Hands-on experience building AI or generative AI features that connect model APIs to business workflows, data, documents, or internal services. Strong software engineering skills in Python and/or Java, including API development, testing, debugging, asynchronous processing, and maintainable service design. Experience with AWS or equivalent cloud services Possesses exceptional communication skills, able to turn business requirements into technical tasks, collaborate across teams, and explain AI tradeoffs in clear, practical terms. Preferred Skills: Experience with AI orchestration patterns Experience supporting a production system Familiarity with Model Context Protocol Experience with text, image, document, audio, or video models, including multimodal embeddings, OCR/document understanding, or content moderation workflows. PlayStation isn't just the Best Place to Play - it's also the Best Place to Work. We've thrilled gamers since 1994 when we launched the original PlayStation. Today, we're recognized as a global leader in interactive and digital entertainment. The PlayStation brand falls under Sony Interactive Entertainment, a wholly owned subsidiary of Sony Corporation. Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to race, color, religion, gender, pregnancy, national origin, ancestry, citizenship, age, legally protected physical or mental disability, covered veteran status, status in the U.S. uniformed services, sexual orientation, marital status, genetic information 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. We sincerely appreciate the time and effort you spent in contacting us and we thank you for your interest in PlayStation. 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. $150,000 — $225,000 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 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: United States, Aliso Viejo, CA 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. Administrative Coordinator – Contractor Location: Aliso Viejo, CA Hybrid, Contract role - 12 months About the Role We are seeking an experienced Administrative Coordinator to provide administrative and operational support to a global team while supporting the day-to-day operations of the Aliso Viejo office. This role supports team members and stakeholders across multiple regions and time zones while serving as a key onsite resource for the local office. Working in partnership with the Sr. Manager overseeing the site, the Administrative Coordinator will support day-to-day onsite operations, serve as an onsite point of contact, and help identify, coordinate, and escalate office needs as appropriate. This is a highly collaborative and hands-on role with responsibilities spanning global team coordination, onsite operations, meetings, workshops, events, and administrative support. The ideal candidate is an experienced administrative professional who is comfortable navigating a fast-paced, global environment, managing multiple priorities, and partnering effectively across teams and functions. While this position will not be dedicated to supporting an individual executive, experience with executive-level support is highly valued. The Administrative Coordinator should be comfortable providing backup executive support when needed. Success in this role requires strong organizational skills, sound judgment, discretion, and initiative. The individual should be able to work independently within established procedures, manage day-to-day responsibilities with limited instruction, and recognize when guidance, alignment, or approval is needed. Onsite Requirement: This role requires the ability to commute to the Aliso Viejo office at least three days per week, with flexibility to work onsite up to five days per week based on business needs. Additional onsite presence may be required for workshops, events, leadership visits, and other activities. Key Responsibilities Provide administrative and operational support to a global team, coordinating meetings, workshops, team events, leadership visits, and other activities across regions and time zones. Manage meeting and event logistics, including scheduling, meeting spaces, catering, visitors, materials, equipment, and other operational requirements. Partner with Executive Assistants, Facilities, IT, Security, Workplace, and other cross-functional partners to coordinate team and onsite needs. Provide department and backup executive support as needed, including: Managing meetings and schedules and supporting effective communication and follow-through among stakeholders. Providing backup Executive Assistant support, including calendar management and other time-sensitive administrative support. Coordinating domestic and international travel and processing expense reports as assigned. Prepare correspondence, presentations, meeting materials, documentation, and meeting notes as needed. Manage and track administrative requests, action items, deliverables, and deadlines to ensure timely follow-through and completion. Maintain and organize team information, documentation, and resources across SharePoint and other collaboration platforms. Exercise sound judgment and appropriate initiative, handle sensitive information with discretion, and identify and recommend improvements to administrative processes and operational efficiency. Required Qualifications 7+ years of administrative support experience , ideally including a combination of department-level and executive support responsibilities. Experience supporting a fast-paced, global or geographically distributed team or organization with multiple stakeholders and changing priorities. Strong organizational and time-management skills, with exceptional attention to detail, ownership, and follow-through, and the ability to manage multiple priorities and deadlines simultaneously with accuracy. Sound judgment and the ability to work independently, take appropriate initiative, and recognize when guidance, approval, or escalation is needed. Excellent written and verbal communication and interpersonal skills, with the ability to work effectively in a collaborative team environment. Ability to build effective working relationships across functions, organizational levels, cultures, and geographic regions. Ability to handle sensitive and confidential information with discretion and remain composed in time-sensitive situations. Proficiency in Microsoft 365 applications, including Outlook, Teams, SharePoint, Excel, PowerPoint, and Word. Bachelor’s degree or equivalent combination of education and relevant professional experience. 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 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.