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Location: Limassol, Cyprus About Our Client Our client operates in the online trading and investment industry, providing retail clients with access to financial markets and tools to support their trading and investment activities. The company serves customers across multiple international markets and offers opportunities for professional development within a dynamic, fast-growing environment. Job Description Role Purpose The Training & Quality Assurance Manager is responsible for designing, implementing, and continuously improving a standardized onboarding, training, and quality assurance framework across the Customer Group. The role ensures all team members, regardless of function, location, or manager, receive consistent knowledge, training, and performance support, enabling them to deliver exceptional customer experiences and perform effectively from day one. This role serves as the central owner of Customer Group knowledge management, onboarding standards, training effectiveness, and quality assurance, ensuring alignment across Customer Service, Sales, Customer Success, Payments, Operations, Client Resolution, and other Customer Group functions. Why This Role Exists The Training & Quality Assurance Manager ensures every employee within the Customer Group receives a consistent onboarding experience, standardized knowledge, and ongoing development support. The role reduces dependence on individual managers for training quality, accelerates employee productivity, improves customer outcomes, and creates a scalable framework that supports growth across multiple markets and functions. Key Responsibilities Training & Onboarding Design and maintain a comprehensive Customer Group onboarding program for all new joiners. Develop structured learning paths tailored to different roles and functions. Deliver onboarding sessions directly or coordinate subject matter experts to provide training. Create and maintain onboarding schedules, certification requirements, and learning assessments. Ensure all employees receive consistent training regardless of location or department. Measure onboarding effectiveness and continuously improve training content based on feedback and performance outcomes. Learning & Development Own and maintain training curricula covering: Company overview, vision, values, and organizational structure. Customer Group operating model and team responsibilities. Products, services, and client proposition. Internal systems and tools. Policies and procedures. Regulatory and compliance requirements. Sales methodologies and customer acquisition approaches. Service excellence standards. Customer communication best practices. Customer lifecycle management. Escalation and issue resolution processes. Information security and data protection requirements. Knowledge Management Create and maintain a central knowledge repository. Ensure training materials, SOPs, policies, and process documentation remain current and accessible. Establish documentation standards across the Customer Group. Partner with functional leaders to capture and document business knowledge. Drive knowledge-sharing initiatives across teams and regions. Quality Assurance Design and manage a Customer Group quality assurance framework. Establish quality standards and assessment criteria across customer-facing functions. Conduct regular quality reviews of customer interactions, processes, and adherence to standards. Identify knowledge gaps, coaching opportunities, and process improvement areas. Provide quality trends, insights, and recommendations to management. Work with team leaders to ensure quality findings are translated into coaching and development plans. Performance & Continuous Improvement Track training effectiveness through performance metrics, quality results, certification outcomes, and employee feedback. Analyze onboarding and quality data to identify trends and improvement opportunities. Recommend process enhancements to improve customer experience and employee performance. Support change management initiatives and ensure training readiness for new products, processes, and systems. Promote a culture of continuous learning and operational excellence across the Customer Group. Key Stakeholder Relationships Customer Service Leadership Sales Leadership Customer Success Teams Payments Teams Operations Teams Client Resolution Teams Compliance & Risk HR & Talent Acquisition Product & Technology Teams Success Measures (KPIs) New joiner onboarding completion rate. New hire time-to-productivity. Certification and assessment pass rates. Quality Assurance scores. SOP and knowledge base adoption rates. Reduction in knowledge-related errors and escalations. Training satisfaction scores. Improvement in customer experience and service quality metrics. Training content accuracy and currency. Key Requirements Skills & Experience Essential 2+ years' experience in Training, Learning & Development, Quality Assurance, Customer Operations, or a related role. Experience within Financial Services and/or FinTech environments. Experience designing and delivering structured onboarding and training programs. Experience developing learning content, SOPs, and knowledge management frameworks. Strong facilitation and presentation skills. Experience conducting quality assessments and coaching programs. Strong stakeholder management and influencing abilities. Excellent written and verbal communication skills. Data-driven mindset with the ability to translate insights into actions. Preferred Experience within Financial Services, Payments, FinTech, or Customer Operations environments. Knowledge of contact center, customer service, sales, and customer success functions. Experience with Learning Management Systems (LMS) and knowledge management platforms. Process improvement or operational excellence experience. Key Competencies Customer Centricity Learning Agility Coaching & Development Process Excellence Attention to Detail Communication & Influencing Collaboration Analytical Thinking Continuous Improvement Mindset Accountability & Ownership Equal Opportunity All applicant information will be handled confidentially in accordance with applicable equal employment opportunity guidelines.

Location: San Francisco, CA • New York, NY Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! As an Inside Sales Representative, you’ll play an important role in helping our existing customers scale while managing requests and closing deals from a large book of accounts. You’ll build a strong foundation of knowledge across our product platform and internal sales processes while partnering with Support, Order Management, and Marketing. You’ll also gain experience qualifying and routing inbound prospects to an aligned Account Executive. Ultimately, this experience will help you serve customers efficiently and support your own career development in Sales. As a founding member of this new team, you're adaptable and eager to contribute to how the strategy of this function evolves over time. This is a full time role that can be held from our New York City hub or San Francisco hub. Our team is targeting a late January to February 2027 start date. What you'll do at Figma: Communicate with existing customer accounts through email, Zoom, and Ironclad about Figma’s platform and pricing Close inbound sales requests for subscription expansions, including adding products or licenses, creating new instances, and upgrading to the Enterprise Plan Manage inbound billing requests (such as processing renewals and changing payment term/method) Close targeted outbound account renewals Qualify and handle inbound sales requests Partner with Marketing to run proactive campaigns that maximize expansion/retention across all products We’d love to hear from you if you have: Desire to build career in Sales - ultimately working towards Senior Inside Sales Representative and Account Executive roles at Figma Strong technical aptitude with ability to learn new products, processes, and policies as we go Collaboration across multiple teams (such as Sales, Support, Billing, and Marketing) Inherent curiosity and commitment to ongoing learning, adaptable and comfortable navigating frequent change, and high achiever with a strong inner motivation to over-achieve Exposure to or interest in product development and web-based collaborative tools While it’s not required, it’s an added plus if you also have: B2B SaaS experience Customer-facing Sales/Support experience Multilingual (Spanish or Portuguese) At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. For non-exempt employees, PTO is accrued at a rate equivalent to 15 days per year for full‑time employees. Accrued PTO may be used for vacation or personal time, subject to company policy and manager approval. In addition, the company provides 10 paid sick days annually for non-exempt full-time employees. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Hourly Base Pay Range: $26.96 — $26.96 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

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: Washington, District of Columbia, United States Dexis is a dynamic professional services firm dedicated to partnering with government and community leaders both in the U.S. and internationally to achieve critical social outcomes in a rapidly changing world. At Dexis, you will experience a corporate culture of inclusiveness, respect, fairness, and trust. You will be given the means and mentorship needed to succeed, and your creativity will be rewarded. About the Position Dexis is seeking a Project Attorney to support to the U.S. International Development Finance Corporation's (DFC) Office of the General Counsel (OGC). This position will advise on the legal and policy aspects of DFC's equity investment program. Responsibilities Structure, diligence, negotiate and document complex, multi-million-dollar international debt and/or equity transactions, with a focus on large energy and infrastructure projects in the power, critical minerals, telecommunications, oil and gas, transport, and manufacturing and service industries. Advise on a range of possible transaction structures, including combinations of equity and debt (convertible or non-convertible) and other equity and quasi-equity instruments (e.g., warrants). For debt transactions: limited recourse project financings, structured and corporate financings, guarantees, security arrangements, and engineering and procurement agreements. For equity and investment funds transactions: the use of direct equity, formation of investment funds or alternative or novel investment and co-investment structures, joint ventures, framework agreements and/or specialized compacts or offtake arrangements with sovereign and non-sovereign actors. Serve as "first chair" in negotiations with borrowers, sponsors, investees, co-investors, general partners, multilateral development banks, development finance institutions, export credit agencies, and commercial lenders. Manage disbursements, subscriptions and/or capital calls as applicable, and monitor and restructure existing transactions across the globe. Analyze foreign and international law issues, advise on corporate matters and issues relating to collateral, intercreditor arrangements, shareholder rights, jurisdiction, dispute resolution and DFC policy matters. Performs other related duties as assigned. Qualifications A graduate of an accredited law school with an LL.B. or J.D. A current member of a bar with a valid license to practice law in a state, territory of the United States, District of Columbia, or Commonwealth of Puerto Rico. At least five years of full-time professional legal experience gained after being admitted to the bar. The minimum five-year work experience requirement includes at least four years of specialized experience that is directly related to the position being filled. At least two of the four years of specialized experience must be at a level of difficulty and responsibility equivalent to that of an attorney at the GS-14 level. Experience advising on legal and policy matters in the areas of investments in direct equity and/or private equity funds in the context of negotiating and documenting transactions for projects in emerging markets, whether directly or through the supervision of outside counsel. Must be a U.S. Citizen and must have the ability obtain and maintain a Public Trust or Secret Security clearance, as applicable. Below is the pay range aligned with this position. When developing a range, Dexis evaluates compensation holistically, triangulating between external market research , our budget for the position, and internal equity to arrive at a figure that is fair and competitive. Offers within this range will be based on an individual candidate's qualification, relevant education and experience, skills, performance, and organizational needs. Dexis pay range for this role: $160,000 — $185,000 USD Benefits Dexis offers benefits to support employees’ health, financial security, and well-being. The benefits outlined below are for full-time, US-based positions only. These benefits include: Medical and prescription drug coverage: A choice of three UnitedHealthcare medical plans, with coverage options for employees and eligible dependents. Dental insurance: Dental coverage for employees and eligible dependents, including preventive, basic, major, and orthodontic services, subject to plan limits. Company-paid vision insurance: Vision coverage for employees and eligible dependents, with premiums paid in full by Dexis. Employer-funded health reimbursement arrangement (HRA): Employees who enroll in the Silver HRA medical plan receive an employer-funded HRA to help pay eligible in-network deductible expenses. Company-paid life and disability insurance: Basic life and accidental death and dismemberment (AD&D) insurance, plus short-term and long-term disability coverage. Optional supplemental insurance: Voluntary supplemental life and AD&D insurance options, including life insurance options for eligible dependents. Employee Assistance Program (EAP): Company-paid access to confidential counseling and legal and financial support resources for employees and their families. Health and wellness resources: Virtual care, behavioral health resources, and wellness programs available through the medical plan. Benefits assistance: Personalized support with benefit enrollment, coverage questions, claims, and finding providers through the Employee Care Center. Participation, coverage, and employee contributions are subject to applicable benefit plan terms and eligibility requirements. Dexis is on a mission to help solve today’s most pressing global political, social, and economic challenges and create a world where all people are safe and prosperous. As a Dexis employee, you will be challenged, empowered, and mentored. Our motto is “find a way or make a way” — that’s how Dexis goes “all in.” How will you? If you are passionate about this opportunity, apply now! Only those applicants who meet the above criteria will be contacted for interview. Dexis is an Equal Opportunity Employer, and does not discriminate on the basis of race, color, sex, national origin, religion, pregnancy, disability, age, genetic information, military service, veteran status, ethnicity, citizenship, sexual orientation, gender identity, marital status, childbirth and related medical conditions, including lactation, or any other protected class under applicable law.

Location: Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As Lead Legal Counsel, Corporate, you'll own securities, public company reporting, and corporate governance work for GitLab, a growing public technology company. You'll join the Legal & Corporate Affairs (LACA) team as a senior individual contributor, reporting to the Senior Director, Associate General Counsel, Corporate & Compliance. You'll bring a strong securities law foundation and a broad corporate perspective to a small team. Your work will span quarterly reporting and earnings, the annual proxy statement and stockholders meeting, board and committee matters, equity plans, and subsidiary governance. You'll also support mergers and acquisitions (M&A) and other strategic initiatives. You'll work closely with Accounting, Corporate Development, Finance, Investor Relations, People, Product, Stock Administration, Tax, and Treasury. You'll translate complex legal issues into clear recommendations, build trust across functions, and balance legal risk with business objectives. What You’ll Do Own securities and public company reporting matters, working with internal stakeholders and external auditors on Securities and Exchange Commission (SEC) filings, quarterly reports, earnings releases, the annual proxy statement, investor presentations, and other public disclosures. Advise on corporate governance, including board and committee processes, the annual stockholders meeting, corporate approvals, equity plan matters, executive compensation, and related compliance requirements. Provide legal guidance on complex entity matters across jurisdictions, including formation, maintenance, reorganizations, intercompany agreements, and wind-downs. Support M&A and other strategic transactions, contributing to diligence, documentation, approvals, signing, closing, and post-closing integration. Engage and manage outside counsel across jurisdictions, coordinating work and ensuring practical, high-quality, and cost-effective advice. Identify legal and business risks, present clear options to senior stakeholders, and monitor legal developments to keep policies, processes, and controls current. Build and improve playbooks, checklists, templates, and workflows for recurring corporate legal work. Train junior legal team members and cross-functional partners to use these resources. What You’ll Bring 6+ years of demonstrated relevant legal experience, including law firm experience advising US-listed public companies on securities law, corporate governance, and public company reporting. Prior in-house experience is a plus. A Juris Doctor (JD) degree and active admission to a US state bar. The ability to independently manage complex legal matters and cross-functional projects, prioritize competing needs, and drive work to completion with limited direction. Clear written and verbal communication, including the ability to explain technical legal issues to non-lawyers and senior leaders and build trusted working relationships. The ability to investigate unfamiliar legal questions, weigh risks against business objectives, and turn recommendations into action. Experience improving legal processes, templates, policies, or other scalable resources. The ability to collaborate in a remote, globally distributed team across time zones and cultures, and willingness to use GitLab in your day-to-day work. Helpful but not required: in-house work at a public software-as-a-service (SaaS), software, or open core company; M&A; cross-border corporate matters; outside counsel management; or legal technology that helps scale legal work. About the team The Corporate & Compliance team supports principled corporate governance and GitLab's culture of compliance. We work with leaders and subject matter experts across LACA and the broader company to provide practical, timely legal guidance. LACA is a globally distributed team that supports GitLab's growth through legal expertise, business partnership, and continuous process improvement. We work transparently, collaborate across functions and time zones, and use GitLab's own tools and AI-enabled workflows to make legal support more efficient and accessible. How GitLab will support you Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental leave Home office support Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $168,000 — $285,600 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: United States Who We Are MEMX is a technology-driven exchange operator founded by members to benefit all investors. We operate MEMX Equities, MEMX Options, and MX2 Options, and provide market technology to clients. Our mission is to create healthy competition and advocate for market structure reform that results in more efficient and sensible trading experiences for all investors. Description MEMX is seeking a Data Center Operations Intern to support the infrastructure that powers our exchanges. You’ll work alongside our team to gain hands-on experience with server hardware, network equipment, and data center operations while learning how reliable technology supports financial markets. This internship position will be offered as hybrid with 1 day in person at our Data Center in North Bergen, NJ, and 2 days in person at our co-working office in Midtown-NYC. Work Schedule The intern will be expected to work the following schedule: Monday: 1:00pm – 10:00pm ET, in person at our North Bergen Data Center Tuesday: 10:00am – 6:00pm ET, remote Wednesday: 9:00am – 5:00pm ET, in person at our co-working office in Midtown-NYC Thursday: 9:00am – 5:00pm ET, in person at our co-working office in Midtown-NYC Friday: 9:00am – 5:00pm ET, remote Hours are subject to change based on operational needs. * MEMX has currently approved ONLY the following states for remote work: California, Colorado, Connecticut, Delaware, Florida, Georgia, Illinois, Kansas, Maine, Maryland, Massachusetts, Michigan, Nevada, New Jersey, New York, North Carolina, Pennsylvania, South Carolina, Texas, & Utah. What You’ll Be Doing Assist with servers and network equipment under the team’s guidance Help run and organize cables within the data center Support equipment inventory and maintain accurate documentation Assist with routine equipment checks and basic troubleshooting Participate in infrastructure projects and learn how the team keeps our systems running reliably Requirements Current undergraduate student entering their junior or senior year, pursing a degree in Information Technology, Computer Science, Engineering, or a related field Interest in hardware, networking, and hands-on technology problem-solving Basic familiarity with computer systems; coursework or personal projects involving Linux, networking, or hardware are a plus Strong attention to detail, communication skills, and willingness to learn Ability to work in person at our Midtown Manhattan office during the summer Permanent residence in one of MEMX’s approved states for remote work during the internship What You’ll Gain Hands-on experience with the infrastructure supporting a financial exchange Foundational skills in hardware installation, cabling, troubleshooting, and technical documentation Exposure to how data center operations, networking, and engineering teams work together Why MEMX At MEMX, you’ll contribute to meaningful work alongside experienced professionals while developing your skills and learning how our exchanges operate. As part of our summer internship program, you’ll also have access to: Learning opportunities: Attend Lunch & Learn sessions, professional development workshops, and relevant courses. Mentorship and support: Learn from a mentor and a designated buddy who can help guide you throughout the summer. An intern cohort: Connect with interns working across other MEMX teams. Social events: Get to know colleagues, with opportunities to connect with members of MEMX’s C-suite. Regular feedback: Check in with your manager and HR to discuss your progress, ask questions, and get support Future opportunities: All interns are considered for potential internship extensions or a full-time opportunity after graduation, based on performance and business needs. Pay Rate: $30/hourly for undergraduate students Equal Opportunity Statement MEMX is an equal opportunity employer. We are committed to creating a diverse and inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Diversity Inclusion Statement At MEMX, we believe that diversity and inclusion are essential to driving innovation and success. We welcome and celebrate individuals from all backgrounds and perspectives, and we strive to create an inclusive culture where everyone can thrive.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP believes in the power of humans to transform how they feel, perform and age; we serve the aspiring. WHOOP is hiring a Senior Manager, Business Operations to lead high-priority, high-visibility initiatives across the Operations organization. This role will take on complex, ambiguous business problems that require strong strategic thinking, disciplined execution, and significant cross-functional alignment across Operations, Product, Hardware, Finance, Legal, Commercial, and Corporate Strategy. You will partner closely with senior leaders to shape the path forward, translate strategy into actionable plans, and drive multiple critical workstreams through to measurable outcomes. This is a role for a highly adaptable operator who creates clarity, builds momentum, and thrives in a fast-paced environment where priorities and projects are constantly evolving. RESPONSIBILITIES - Lead multiple high-priority, high-visibility strategic initiatives across Operations from scoping through execution and measurable outcomes. - Translate ambiguous business objectives into clear strategies, workplans, milestones, decision points, and success measures. - Drive complex cross-functional programs spanning Operations, Product, Hardware, Finance, Legal, Commercial, and Corporate Strategy. - Create alignment across senior stakeholders, surface tradeoffs, resolve dependencies, and drive timely decisions to maintain momentum. - Serve as a strategic thought partner to Operations leadership, developing recommendations and helping shape the path forward on critical initiatives. - Anticipate risks, bottlenecks, and downstream implications; proactively develop mitigation plans and escalate when needed. - Develop clear, compelling executive communications that synthesize complex information into decisions, recommendations, and progress updates. - Partner with Analytics and other subject-matter experts to leverage data, generate insights, and build fact-based narratives that move initiatives forward. - Identify opportunities to improve systems, processes, and ways of working beyond the immediate project, creating scalable impact across Operations. QUALIFICATIONS - 8+ years of experience in Business Operations, Strategy, Consulting, Program Management, or a related field. - Demonstrated success leading multiple complex, cross-functional initiatives in fast-paced and highly ambiguous environments. - Exceptional project and program management skills, with the ability to create structure, maintain momentum, and drive accountability across senior stakeholders. - Strong strategic thinking and systems-level problem solving, with the ability to connect individual initiatives to broader business priorities and downstream impacts. - Proven ability to influence, challenge, and align senior leaders without relying on formal authority. - Excellent executive communication and storytelling skills, including the ability to distill complex topics into clear recommendations, tradeoffs, and decisions. - Strong analytical and business judgment, with the ability to partner with Analytics and Finance and translate data into actionable insights. - Highly adaptable and comfortable changing approach as priorities, information, and business needs evolve. - High degree of ownership, urgency, and resilience; willing to push through ambiguity, obstacles, and competing priorities to deliver results. - Strong team-first mentality and low-ego collaboration style, with the credibility to build trust across a wide range of functions and leadership levels. 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 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 $150,000 - $185,000 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 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: London, United Kingdom Workplace: hybrid Role type: Apprenticeship- 24 Month Contract Location: London- On-Site Global University Systems (GUS) is an international education group that empowers students to transform their lives through education. We believe education drives careers, lives, and society forward, enabling a brighter and more sustainable future for all.  Our institutions offer the broadest range of industry-relevant skills through inclusive, accessible and digital-first learning.  We offer a choice of career-enhancing certificates, degrees and post-graduate level qualifications, equipping our thriving multi-national community of students for lifelong success.  Our world-leading network and state-of-the-art institutions power the upskilling of our students worldwide. About this role: This is a development role created to enable the postholder to undertake and complete the Level 4 Facilities Manager Apprenticeship while gaining structured, work-based experience at GUS. The anticipated programme duration is circa 24 months. The precise fixed-term end date and any provision for End-Point Assessment, resits, extensions or early termination will be confirmed in the employment contract and apprenticeship documentation. The Apprenticeship Assistant Manager will support the safe, compliant, welcoming and effective day-to-day operation of GUS campus buildings. Working within the Property and Facilities Management team, the postholder will combine hands-on operational responsibilities with structured learning through the Level 4 Facilities Manager Apprenticeship delivered by the training provider. The role is designed to build capability across hard and soft facilities management, customer service, contractor and supplier coordination, health and safety, risk and compliance, finance, asset and workspace management, sustainability, people capability, change and project delivery. The postholder will progressively take greater ownership as competence develops, while working under the direction of the line manager and within agreed authority levels. This is a highly visibility, site-based and hands-on role, requiring regular movement across campus locations to conduct inspections, respond to facilities issues, undertake maintenance activities, and support the safe and effective operation of the estate. Summary of role: Act as a first point of contact for facilities enquiries, delivering a responsive and professional service to students, colleagues and visitors. Support the day-to-day operation of campus buildings, including cleaning, security, reception, maintenance, waste management and other facilities services. Respond to reactive facilities issues, coordinating contractors and remedial works and escalating where required. Conduct regular building inspections, identifying risks or defects and ensuring actions are followed through to resolution. Support health, safety and compliance activities, including audits, risk assessments, statutory testing, emergency procedures and contractor documentation. Coordinate contractors and suppliers, monitoring performance, quality, safety and value for money. Assist with facilities budgets, quotations, purchase orders, invoices, records and operational reporting. Support planned maintenance, refurbishment, mobilisation and continuous improvement projects. Contribute to sustainability initiatives, including energy efficiency, waste reduction and responsible procurement. Build positive relationships with internal stakeholders, landlords, managing agents and service partners. Identify opportunities to improve operational efficiency, service quality and the overall student, colleague and visitor experience. Apprenticeship Requirements and Learning Commitment: Successful completion of the apprenticeship is an integral and mandatory requirement of this fixed-term role. The postholder will be expected to: Enrol on and actively participate in Mercury Training’s Level 4 Facilities Manager Apprenticeship, subject to provider eligibility checks and enrolment. Complete learning and development activities during paid working hours, including approximately six hours per week of off-the-job training. Participate in the blended delivery model, including online and face-to-face learning, monthly tutor or coaching meetings, and formal progress reviews involving the learner, line manager and Mercury skills coach. Maintain an accurate digital portfolio or learning record and provide evidence of knowledge, skills and behaviours developed through the role. Complete assignments, reflective activity, workplace learning, project work and preparation for assessment to required standards and deadlines. Undertake a work-based project aligned to the role and business needs, with suitable access to evidence, stakeholders and organisational information. Engage constructively with English and math’s initial assessment and any agreed support or Functional Skills activity. Prepare for and complete the End-Point Assessment requirements applicable to the programme. Immediately raise any barriers to progress with the line manager and training provider and cooperate with agreed support or recovery plans. Requirements for the role: Able to meet the Training and apprenticeship funding eligibility requirements, including living in England, not being on another funded course, meeting applicable residency requirements and working at least 30 hours per week. Experience in facilities, property, estates, building services, customer service, administration or another relevant operational environment. Experience of dealing professionally with customers, contractors, suppliers or service providers. Strong organisational and administrative skills, with the ability to prioritise competing demands and maintain accurate records. Clear written and verbal communication skills, and confidence working with a range of stakeholders. What we offer: Contributory Pension Scheme - 5% personal contribution & 3% Company contribution, so you can build long-term financial security with added benefits of the company contributions. Season Ticket Loan (T&C's apply) - spread the cost of your commute with an interest-free travel loan. Training & Development opportunities (T&C's apply) - access to short courses via FutureLearn and Group-wide professional development programmes. Staff Discount Scheme - via My Rewards Hub, from various retailers – Fashion, Grocery, Health & Beauty, Travel, Automotive, Furniture, Dining, Sports and Leisure, Electronics, etc Employee Assistance Programme - confidential support for your wellbeing, whenever you need it. We will screen all applicants and select candidates whose qualifications meet our requirements. We will carefully consider your application during the initial screening and will contact you if you are selected to continue for the next stage of the recruitment process. We wish you every success in your job search. GUS is an equal opportunities employer and positively encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, or religion or belief. Our data privacy policy can be viewed here .

Location: London, United Kingdom Workplace: hybrid Role type: Apprenticeship- 24 Month Contract Location: London- On-Site Global University Systems (GUS) is an international education group that empowers students to transform their lives through education. We believe education drives careers, lives, and society forward, enabling a brighter and more sustainable future for all.  Our institutions offer the broadest range of industry-relevant skills through inclusive, accessible and digital-first learning.  We offer a choice of career-enhancing certificates, degrees and post-graduate level qualifications, equipping our thriving multi-national community of students for lifelong success.  Our world-leading network and state-of-the-art institutions power the upskilling of our students worldwide. About this role: This is a development role created to enable the postholder to undertake and complete the Level 4 Facilities Manager Apprenticeship while gaining structured, work-based experience at GUS. The anticipated programme duration is circa 24 months. The precise fixed-term end date and any provision for End-Point Assessment, resits, extensions or early termination will be confirmed in the employment contract and apprenticeship documentation. The Apprenticeship Assistant Manager will support the safe, compliant, welcoming and effective day-to-day operation of GUS campus buildings. Working within the Property and Facilities Management team, the postholder will combine hands-on operational responsibilities with structured learning through the Level 4 Facilities Manager Apprenticeship delivered by the training provider. The role is designed to build capability across hard and soft facilities management, customer service, contractor and supplier coordination, health and safety, risk and compliance, finance, asset and workspace management, sustainability, people capability, change and project delivery. The postholder will progressively take greater ownership as competence develops, while working under the direction of the line manager and within agreed authority levels. This is a highly visibility, site-based and hands-on role, requiring regular movement across campus locations to conduct inspections, respond to facilities issues, undertake maintenance activities, and support the safe and effective operation of the estate. Summary of role: Act as a first point of contact for facilities enquiries, delivering a responsive and professional service to students, colleagues and visitors. Support the day-to-day operation of campus buildings, including cleaning, security, reception, maintenance, waste management and other facilities services. Respond to reactive facilities issues, coordinating contractors and remedial works and escalating where required. Conduct regular building inspections, identifying risks or defects and ensuring actions are followed through to resolution. Support health, safety and compliance activities, including audits, risk assessments, statutory testing, emergency procedures and contractor documentation. Coordinate contractors and suppliers, monitoring performance, quality, safety and value for money. Assist with facilities budgets, quotations, purchase orders, invoices, records and operational reporting. Support planned maintenance, refurbishment, mobilisation and continuous improvement projects. Contribute to sustainability initiatives, including energy efficiency, waste reduction and responsible procurement. Build positive relationships with internal stakeholders, landlords, managing agents and service partners. Identify opportunities to improve operational efficiency, service quality and the overall student, colleague and visitor experience. Apprenticeship Requirements and Learning Commitment: Successful completion of the apprenticeship is an integral and mandatory requirement of this fixed-term role. The postholder will be expected to: Enrol on and actively participate in Mercury Training’s Level 4 Facilities Manager Apprenticeship, subject to provider eligibility checks and enrolment. Complete learning and development activities during paid working hours, including approximately six hours per week of off-the-job training. Participate in the blended delivery model, including online and face-to-face learning, monthly tutor or coaching meetings, and formal progress reviews involving the learner, line manager and Mercury skills coach. Maintain an accurate digital portfolio or learning record and provide evidence of knowledge, skills and behaviours developed through the role. Complete assignments, reflective activity, workplace learning, project work and preparation for assessment to required standards and deadlines. Undertake a work-based project aligned to the role and business needs, with suitable access to evidence, stakeholders and organisational information. Engage constructively with English and math’s initial assessment and any agreed support or Functional Skills activity. Prepare for and complete the End-Point Assessment requirements applicable to the programme. Immediately raise any barriers to progress with the line manager and training provider and cooperate with agreed support or recovery plans. Requirements for the role: Able to meet the Training and apprenticeship funding eligibility requirements, including living in England, not being on another funded course, meeting applicable residency requirements and working at least 30 hours per week. Experience in facilities, property, estates, building services, customer service, administration or another relevant operational environment. Experience of dealing professionally with customers, contractors, suppliers or service providers. Strong organisational and administrative skills, with the ability to prioritise competing demands and maintain accurate records. Clear written and verbal communication skills, and confidence working with a range of stakeholders. What we offer: Contributory Pension Scheme - 5% personal contribution & 3% Company contribution, so you can build long-term financial security with added benefits of the company contributions. Season Ticket Loan (T&C's apply) - spread the cost of your commute with an interest-free travel loan. Training & Development opportunities (T&C's apply) - access to short courses via FutureLearn and Group-wide professional development programmes. Staff Discount Scheme - via My Rewards Hub, from various retailers – Fashion, Grocery, Health & Beauty, Travel, Automotive, Furniture, Dining, Sports and Leisure, Electronics, etc Employee Assistance Programme - confidential support for your wellbeing, whenever you need it. We will screen all applicants and select candidates whose qualifications meet our requirements. We will carefully consider your application during the initial screening and will contact you if you are selected to continue for the next stage of the recruitment process. We wish you every success in your job search. GUS is an equal opportunities employer and positively encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, or religion or belief. Our data privacy policy can be viewed here .

Location: United States Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world’s longest-standing crypto platforms, trusted by over 10 million individuals and institutions globally. We offer spot trading, margin, futures, staking, and OTC services for both individual investors and institutional clients. The Consumer Mobile team builds the Kraken app, the interface millions of people use to interact with their money. We work primarily in React Native to make complex financial experiences intuitive, fast, and trustworthy. Our product-minded engineers work closely with Product and Design to understand client problems, challenge assumptions, shape solutions, and measure whether what we ship improves the experience. We are expanding into Asia and building a new app specifically for Asian users. This requires genuine experience with the region’s distinct user expectations, design language, and technical constraints compared with Western markets. THE OPPORTUNITY - Build and own high-quality React Native features end to end, from ambiguous client problems and solution design through implementation, launch, measurement, and iteration - Partner closely with Product and Design to shape thoughtful, responsive, and trustworthy financial experiences, including product discovery, trading, and simplified client journeys - Work with APIs and dynamic or real-time data, making strong decisions on state management, rendering, performance, architecture, and reliability - Raise the product-engineering bar through technical discussions, code reviews, collaboration, strong product ownership, and a willingness to move between product and technical challenges - Help build Kraken’s new app for Asian markets. Act as the team’s subject-matter guide on regional UX and design expectations, practical approaches to firewall and connectivity restrictions, and appropriate vendors and tooling such as telemetry solutions WHAT YOU BRING - Strong React Native experience, including shipping meaningful production applications and making sound architectural and implementation decisions in a modern mobile codebase - A product-building mindset and strong product judgment. You start with the client problem, challenge or simplify requirements when needed, and turn loosely defined problems into measurable product outcomes - End-to-end feature ownership, with the ability to use metrics, experimentation, client behavior, and feedback to assess and improve what you ship - Experience building responsive, data-rich applications using APIs and dynamic or real-time data, alongside close collaboration with Product and Design in written and verbal English - Versatility and thoughtful AI use. You are comfortable wearing multiple hats and use tools such as Cursor, Copilot, or Claude to work faster while retaining responsibility for engineering judgment and quality - Proven experience building and shipping consumer mobile apps for Asian markets. You understand the region’s UX and design conventions, its technical limitations, and how to navigate launch challenges including firewall and connectivity restrictions. You can clearly explain how you have solved these problems before NICE TO HAVES - Experience in fintech, trading, crypto, payments, or another financial technology environment, with an understanding of trading, investing, or financial products - Experience with real-time or streaming data, and improving mobile application performance, responsiveness, and reliability across a range of devices - Experience across both mobile and web, or in a startup or small-to-medium-sized technology company where engineers work closely with Product and Design - Native mobile experience in Swift or Kotlin, including sound judgment about when to work below the React Native layer - Chinese language proficiency, such as Mandarin, or another Asian language Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on Twitter https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: United Kingdom; Brazil; United Arab Emirates; Ireland; Peru; Sweden; Colombia; Argentina; Romania; Cyprus; Switzerland; Portugal; Lithuania; South Africa; Czech Republic; Canada; Hungary; Chile; Poland; Spain; Bulgaria Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world’s longest-standing crypto platforms, trusted by over 10 million individuals and institutions globally. We offer spot trading, margin, futures, staking, and OTC services for both individual investors and institutional clients. The Consumer Mobile team builds the Kraken app, the interface millions of people use to interact with their money. We work primarily in React Native to make complex financial experiences intuitive, fast, and trustworthy. Our product-minded engineers work closely with Product and Design to understand client problems, challenge assumptions, shape solutions, and measure whether what we ship improves the experience. We are expanding into Asia and building a new app specifically for Asian users. This requires genuine experience with the region’s distinct user expectations, design language, and technical constraints compared with Western markets.   THE OPPORTUNITY - Build and own high-quality React Native features end to end, from ambiguous client problems and solution design through implementation, launch, measurement, and iteration - Partner closely with Product and Design to shape thoughtful, responsive, and trustworthy financial experiences, including product discovery, trading, and simplified client journeys - Work with APIs and dynamic or real-time data, making strong decisions on state management, rendering, performance, architecture, and reliability - Raise the product-engineering bar through technical discussions, code reviews, collaboration, strong product ownership, and a willingness to move between product and technical challenges - Help build Kraken’s new app for Asian markets. Act as the team’s subject-matter guide on regional UX and design expectations, practical approaches to firewall and connectivity restrictions, and appropriate vendors and tooling such as telemetry solutions WHAT YOU BRING - Strong React Native experience, including shipping meaningful production applications and making sound architectural and implementation decisions in a modern mobile codebase - A product-building mindset and strong product judgment. You start with the client problem, challenge or simplify requirements when needed, and turn loosely defined problems into measurable product outcomes - End-to-end feature ownership, with the ability to use metrics, experimentation, client behavior, and feedback to assess and improve what you ship - Experience building responsive, data-rich applications using APIs and dynamic or real-time data, alongside close collaboration with Product and Design in written and verbal English - Versatility and thoughtful AI use. You are comfortable wearing multiple hats and use tools such as Cursor, Copilot, or Claude to work faster while retaining responsibility for engineering judgment and quality - Proven experience building and shipping consumer mobile apps for Asian markets. You understand the region’s UX and design conventions, its technical limitations, and how to navigate launch challenges including firewall and connectivity restrictions. You can clearly explain how you have solved these problems before   NICE TO HAVES - Experience in fintech, trading, crypto, payments, or another financial technology environment, with an understanding of trading, investing, or financial products - Experience with real-time or streaming data, and improving mobile application performance, responsiveness, and reliability across a range of devices - Experience across both mobile and web, or in a startup or small-to-medium-sized technology company where engineers work closely with Product and Design - Native mobile experience in Swift or Kotlin, including sound judgment about when to work below the React Native layer - Chinese language proficiency, such as Mandarin, or another Asian language Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on Twitter https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: Remote (United States | Canada) Workplace: Remote 1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. The Learning Design and Enablement Manager will join the Enterprise Learning & Development team within the People organization to build applied learning experiences that strengthen leadership, professional, and Artificial Intelligence (AI) capabilities. You’ll translate business needs into practical, scenario-based learning that supports lasting behavior change, scalable enablement, and measurable business impact. Reporting to the Manager of Enterprise Learning & Development, this role is remote in the United States and Canada and will help build the capabilities 1Password needs to deliver on its mission. How we’re using AI today On the People team, we’re using AI intentionally and responsibly as part of how our work gets done. We’re building a shared foundation of AI confidence and capability with the belief that innovation happens best when we learn and experiment together. From drafting communications and synthesizing feedback to automating workflows across the employee lifecycle, we’re embedding AI into our day-to-day operations and the way we collaborate cross-functionally, helping us move quickly and create space for the human moments that matter most. This is a remote opportunity within Canada and the US. What we're looking for: • 7+ years of experience in instructional design, learning design, or a related learning and development role, with experience translating capability needs into practical learning solutions. • Experience designing scenario-based learning grounded in real business workflows and focused on behavior change rather than one-time knowledge transfer. • Ability to identify patterns across stakeholder needs and create reusable frameworks, content, and learning experiences that can scale across teams. • Experience embedding measurement and evaluation into learning solutions, along with the ability to connect learning outcomes to business impact. • Working knowledge of instructional design methods such as Analysis, Design, Development, Implementation, and Evaluation (ADDIE), Design Thinking, backward design, or comparable approaches. • Strong project management, facilitation, communication, and independent decision-making skills, with the ability to turn ambiguous needs into clear solutions and manage multiple priorities. • Experience building workplace AI capability, designing leadership programs across multiple leadership levels, or using emerging learning technologies and AI-enabled tools. What you can expect: • Design and develop applied learning solutions based on identified capability needs, using real business scenarios and workflows. • Partner with functional enablement leads, subject matter experts, and cross-functional stakeholders to integrate learning into existing programs and team practices. • Lead the design and development of leadership capability programs for front-line, mid-level, and senior leaders, facilitating selected sessions as needed. • Create learning experiences that help people use AI thoughtfully and effectively, with an emphasis on judgment, critical thinking, responsible application, and evaluating outcomes. • Develop reusable frameworks, practices, measurement approaches, and resources that strengthen learning delivery and effectiveness across the organization. • Build evaluation into each solution, use learner and stakeholder feedback to improve programs, and maintain learning materials so they remain current and relevant. USA-based roles only: The annual base salary for this role is between $119,000 USD and $173,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. Canada-based roles only: The annual base salary for this role is between $106,000 CAD and $154,000 CAD, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. To us, this means we do ask that you join live interviews without using AI tools so we can get to know how you communicate, solve problems, and collaborate with others. Our approach to remote work We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🩺 Competitive health benefits 🏝 Generous PTO policy Growth and future 📈 RSU program for most employees 💸 Retirement matching program 🔑 Free 1Password account Community 🤝 Paid volunteer days 🏆 Peer-to-peer recognition through Bonusly 🌎 Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.

Location: New York, New York, United States Our Story At think-cell, we’re on a mission to revolutionize the way professionals work—making presentation creation smarter, faster, and more efficient. Since our founding in 2002 in Berlin, we've been crafting powerful software that seamlessly integrates with Microsoft Office, helping users easily transform complex data into stunning charts and diagrams. Driven by innovation and technical excellence, our diverse and dynamic team thrives on creativity and collaboration. We foster an inclusive culture where ideas flourish, and every team member has the opportunity to make a real impact. If you're passionate about shaping the future of productivity software, think-cell is the place for you! 🚀 What you will do: We’re looking for a strategic and customer-centric Customer Success Manager to oversee a portfolio of strategic global customers, driving long-term value, adoption, and partnership. In this high-impact role, you'll serve as a trusted advisor to senior stakeholders, driving retention, expansion, and long-term customer success. You'll develop deep partnerships within your accounts, identify new opportunities to add value, proactively manage renewals, and align think-cell usage with strategic business goals. This is an ideal role for someone who excels at building executive relationships, influencing without authority, and turning customer satisfaction into measurable growth. If you thrive in a high-ownership environment and are passionate about delivering customer outcomes at scale—we want to hear from you. Key Responsibilities: Own a portfolio of think-cell’s most strategic accounts. Serve as the primary relationship owner, responsible for renewals and upsells while driving retention, growth, and long-term customer value. Partner with champions and executive sponsors to drive product adoption, resolve issues, and uncover new use cases. Orchestrate executive business reviews, track adoption metrics and align on success plans. Monitor account health and proactively mitigate churn through deep engagement and value delivery. Identify opportunities to evangelize new features or product enhancements within high value accounts. Your profile: Bachelor’s, Master’s degree in Business or related relevant field. 3–6 years of experience in strategy consulting is preferred, or management consulting within high-growth technology companies. Experience navigating large, complex customers and partnering with technical and executive stakeholders. Excellent relationship building skills and a proactive approach to customer engagement. Organized and highly accountable with a bias towards action. Strong ability to communicate value and navigate customer organizations with precision. Understanding common GTM tools (e.g. Salesforce.com, Outreach.io) is a plus Appreciation of our product - willingness to understand think-cell’s product and value is a must (don’t worry, it’s very intuitive); experience with think-cell is a plus Hybrid: Willingness to work on-site in, minimum of 3 days/week - NYC office (opening soon). Executive presence, ability to influence, build rapport, and excellent communication skills. We believe in a human hiring process, every application is personally reviewed. Why is think-cell the right place for you? At think-cell, we’re not just building innovative software – we’re empowering over 1.3 million business users across 35,000 companies, including the world’s top consulting firms, DAX 40 leaders, and the biggest US blue-chip enterprises. With offices in Berlin, Munich, Denver, Boston, London, Tokyo, and Dubai, we are a diverse, passionate team of over 210 people, united by a shared commitment to excellence and innovation. Our proprietary technology sets the standard in business document creation, and we're in a dynamic, growing market with enormous potential. As we continue to lead the way in our industry, we’re looking for talented individuals who can help us shape the future of business productivity. Our Values At think-cell, our values are at the heart of everything we do. They guide how we work, collaborate, and create value for our customers. As part of our team, you will embody and help shape the following principles that define us: Forward Thinking : We are adaptable innovators – we embrace change, value progress, and challenge the status quo to find the best solutions. Ownership : We take pride in our work – we own our mistakes, learn from them, and go the extra mile to deliver exceptional results. Customer First : We are committed to our customers – we understand, prioritize, and deliver lasting value through meaningful solutions. Unified Team : We cultivate collaboration and value every voice – we prioritize integrity and respect, ensuring everyone feels heard, supported, and aligned in our shared mission. Strive for Excellence : We are driven by excellence – we set ambitious goals, pursue quality relentlessly, and foster growth through exceptional talent. Join Our Journey We encourage you to apply even if you don’t meet every requirement. At think-cell, we celebrate diversity because it drives creativity and excellence. We welcome individuals from all backgrounds who are passionate about making a real impact. Joining us means more than just a job – it’s an opportunity to be part of an inclusive, innovative, and supportive team that values collaboration and growth. Together, we can push boundaries and achieve great things. Compensation: think-cell believes the value of pay transparency contributes towards an honest and supportive culture. For this position, we anticipate paying OTE of $130K - 160K/yr. The actual amount to be offered to the successful candidate will be dependent upon the key aspects of each case which may include education, skills, experience, scope of the role, location, etc. as determined through the selection process. Any think-cell variable incentive includes a targeted dollar amount, and any actual payout amount is dependent on company and personal performance. think-cell provides comprehensive benefits package including medical, dental, vision, disability leave, parental leave, paid time off and 401k contribution (all benefits are subject to eligibility requirements). At think-cell, we value diversity. We are proud to be an equal opportunity employer and do not discriminate based on race, color, religion, national origin, age, disability, sex, gender identity or expression, sexual orientation, marital status, military or veteran status, or any other characteristic protected by law. #SalesStrategy #StrategyJobs #techJobs #LI-Hyrbid

Location: Remote, Massachusetts, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role We’re looking to hire a Sales Director to join the Revenue Team in Boston, MA. This person will be responsible for building out our enterprise customer base. The ideal person will be a proactive and curious member of our growing Sales team, identifying new business with prospects and growth opportunities for clients. A certain level of foresight and knowledge working with intrinsic sales cycles will take this individual confidently into the future of dbt Labs. What You'll Do Own the full sales cycle from lead to ongoing utilization for enterprise prospects Organize POC implementations of dbt Cloud Enterprise Win 20 new dbt Cloud Enterprise customers per year (after ramp) Lead and contribute to team projects that develop our sales process Work with product to build and maintain the dbt Cloud enterprise roadmap Become an expert in SQL, dbt, and enterprise data operations Be an active member of the dbt open source community Skills We’re Looking For 6+ years closing experience in technology sales, with 2+ years of experience in enterprise sales. Ability to understand complex technical concepts and develop them into a consultative sale Excellent verbal, written, and in-person communication skills to engage stakeholders at all levels of an analytics organization (individual developer up to CTO) The diligence and organizational skills to work long, intricate sales cycles involving multiple client teams Ability to operate in an ambiguous and fast-paced work environment A passion for being an inclusive teammate and involved member of the community Experience with SQL or willingness to learn Bonus Skills​ Prior experience in analytics, ETL, BI, and/or open-sourced software Knowledge of or prior experience with dbt The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Pay Range $142,486 — $178,107.75 USD OTE (On Target Earning) $284,972 — $356,215.50 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.