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Location: United Kingdom; Brazil; United Arab Emirates; Ireland; Cyprus; Portugal; Canada Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system.   THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. The Compliance team at Payward plays a critical role in enabling the company to grow responsibly while navigating a rapidly evolving regulatory environment. Our teams work across jurisdictions and product lines to design and maintain scalable compliance frameworks that support Payward’s mission while ensuring regulatory obligations are met. The Financial Intelligence Unit (FIU) Scale Team is responsible for ensuring the FIU can scale, across new operating jurisdictions and new products, effectively and efficiently. The team leads AML transaction monitoring and blockchain monitoring to ensure thresholds are appropriately set, tested, and governed while reducing false positives and maintaining strong oversight. In addition, the team focuses on identifying efficiencies in process workflows and implementing automation across the FIU. Scale works closely with external vendor, Compliance, and internal technology teams.     THE OPPORTUNITY - Lead transaction monitoring optimization, including rule testing, threshold tuning, and the design and rollout of new monitoring scenarios to improve detection quality and reduce false positives - Identify and drive automation and workflow improvements across FIU processes to increase operational efficiency and effectiveness - Evaluate and implement emerging technologies, including LLM and AI-enabled tools, to enhance alert triage, investigations, SAR filing and FIU operational capabilities - Partner with Product, Engineering, and Operations to support vendor integrations, monitoring infrastructure improvements, and FIU tooling enhancements - Collaborate with Compliance leadership, including RCOs and MLROs, to maintain well-governed transaction monitoring frameworks aligned with regulatory expectations - Support FIU scalability by designing processes and monitoring strategies that enable expansion into new products, regions, and increased transaction volumes     WHAT YOU BRING - 5+ years of experience in AML, financial crime compliance, or FIU operations, with deep knowledge of transaction monitoring frameworks, suspicious activity detection, and regulatory expectations under BSA/AML regimes - 3+ years of experience designing, testing, and tuning transaction monitoring rules, including threshold optimization, scenario design, and alert reduction strategies - 3+ years of experience working with transaction monitoring systems and compliance tooling, including case management platforms, monitoring infrastructure, and investigative workflows - Experience working in a regulated financial institution, preferably one licensed to operate in the EU, UK, and/or United States - Experience driving process optimization or automation initiatives within compliance or financial crime programs to improve operational efficiency and scalability - Experience working cross-functionally with Product, Engineering, Data, or Operations teams to implement monitoring controls, vendor integrations, or compliance technology solutions - Strong analytical and data interpretation skills, with experience using metrics, dashboards, and data analysis to evaluate monitoring effectiveness and improve detection quality - Experience operating in fast-growing fintech, payments, or crypto environments, with the ability to design scalable compliance controls that support new product launches and geographic expansion - Experience working with AI, machine learning, or LLM-enabled compliance tools, including investigative automation or alert triage technologies - Familiarity with blockchain analytics tools such as Chainalysis, TRM Labs, Elliptic, or similar crypto investigative platforms - Experience supporting vendor selection, implementation, or integration of regtech solutions     NICE TO HAVES - ACAMS, CAMS-Audit, CFCS, or similar financial crime certifications       Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on X https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: United States Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. The Compliance team at Payward plays a critical role in enabling the company to grow responsibly while navigating a rapidly evolving regulatory environment. Our teams work across jurisdictions and product lines to design and maintain scalable compliance frameworks that support Payward’s mission while ensuring regulatory obligations are met. The Financial Intelligence Unit (FIU) Scale Team is responsible for ensuring the FIU can scale, across new operating jurisdictions and new products, effectively and efficiently. The team leads AML transaction monitoring and blockchain monitoring to ensure thresholds are appropriately set, tested, and governed while reducing false positives and maintaining strong oversight. In addition, the team focuses on identifying efficiencies in process workflows and implementing automation across the FIU. Scale works closely with external vendor, Compliance, and internal technology teams.     THE OPPORTUNITY - Lead transaction monitoring optimization, including rule testing, threshold tuning, and the design and rollout of new monitoring scenarios to improve detection quality and reduce false positives - Identify and drive automation and workflow improvements across FIU processes to increase operational efficiency and effectiveness - Evaluate and implement emerging technologies, including LLM and AI-enabled tools, to enhance alert triage, investigations, SAR filing and FIU operational capabilities - Partner with Product, Engineering, and Operations to support vendor integrations, monitoring infrastructure improvements, and FIU tooling enhancements - Collaborate with Compliance leadership, including RCOs and MLROs, to maintain well-governed transaction monitoring frameworks aligned with regulatory expectations - Support FIU scalability by designing processes and monitoring strategies that enable expansion into new products, regions, and increased transaction volumes     WHAT YOU BRING - 5+ years of experience in AML, financial crime compliance, or FIU operations, with deep knowledge of transaction monitoring frameworks, suspicious activity detection, and regulatory expectations under BSA/AML regimes - 3+ years of experience designing, testing, and tuning transaction monitoring rules, including threshold optimization, scenario design, and alert reduction strategies - 3+ years of experience working with transaction monitoring systems and compliance tooling, including case management platforms, monitoring infrastructure, and investigative workflows - Experience working in a regulated financial institution, preferably one licensed to operate in the EU, UK, and/or United States - Experience driving process optimization or automation initiatives within compliance or financial crime programs to improve operational efficiency and scalability - Experience working cross-functionally with Product, Engineering, Data, or Operations teams to implement monitoring controls, vendor integrations, or compliance technology solutions - Strong analytical and data interpretation skills, with experience using metrics, dashboards, and data analysis to evaluate monitoring effectiveness and improve detection quality - Experience operating in fast-growing fintech, payments, or crypto environments, with the ability to design scalable compliance controls that support new product launches and geographic expansion - Experience working with AI, machine learning, or LLM-enabled compliance tools, including investigative automation or alert triage technologies - Familiarity with blockchain analytics tools such as Chainalysis, TRM Labs, Elliptic, or similar crypto investigative platforms - Experience supporting vendor selection, implementation, or integration of regtech solutions     NICE TO HAVES - ACAMS, CAMS-Audit, CFCS, or similar financial crime certifications       Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on X https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: United States Workplace: OnSite WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? Are you energized by bridging the gap between frontier AI capability and complex customer reality? Do you want to architect high-performance, resilient machine learning systems directly inside strategic enterprise environments? We are looking for a Staff Forward Deployed Engineer (FDE) to join our team. The team is responsible for taking our large language models and making them work reliably, securely, and at peak performance within our customers' custom infrastructure and data perimeters. In this role, you will act as the principal technical translation layer between our core engineering teams and our strategic partners. You will own the architecture for highly ambiguous, customer-specific inference challenges—ranging from multi-tenant model serving to multi-datacenter disaster recovery and custom hardware validation. You will lead technical adoption end-to-end, ensuring our models achieve exceptionally low latency, high throughput, and seamless resilience in the field. As a Forward Deployed Engineer, you will: • Embed directly with customer engineering teams to architect the "connective tissue" between our AI models and their live, complex production environments. • Design advanced model serving topologies, implementing multi-tenant architectures, intelligent model routing, and cross-datacenter failover strategies for multi-cluster environments. • Optimize "AI-in-a-box" and private deployments, balancing localized SRE constraints like Kubernetes multi-cluster scale with raw model performance. • Conduct rigorous benchmarking and profiling of customer LLM workloads, root-causing performance degradation (e.g., slow generation) via metrics, dashboards, and distributed logs. • Accelerate hardware validation, collaborating with clients to run and support Cohere models on next-generation accelerators (GPUs, TPUs, AMD, and custom ASICs). • Translate complex field friction into platform upgrades, delivering prescriptive feedback and contributing directly back to core product features. • Ensure Day-1 production reliability, assisting customers in establishing sound deployment patterns, SLOs, and observability frameworks. You may be a good fit if you have: • 8+ years of engineering experience running production infrastructure, designing large-scale distributed systems, or deploying enterprise software in complex environments. • Deep technical depth in production Kubernetes, including orchestration across multi-cluster and hybrid/multi-cloud ecosystems (GCP, Azure, AWS, OCI). • Strong understanding of LLM architecture and inference dynamics, specifically how attention mechanisms, compute-bound prefill, and memory-bound decode phases dictate live performance. • Hands-on experience with modern inference engines and optimization stacks (e.g., vLLM, TensorRT-LLM, lmd, or Dynamo). • Familiarity with distributed serving techniques, such as prefill/decode disaggregated serving, distributed KV caching, and multi-GPU workloads. • Exceptional customer-facing technical leadership, with a proven track record of scoping highly ambiguous problems and steering executive technical stakeholders. • The high agency, grit, and adaptability to write same-day production code while managing client-side deployment politics or blockers. • Strong programming foundations in Python, Go, or C++, comfortable moving fluidly between backend data pipelines and infrastructure layer tuning. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: London, United Kingdom Workplace: hybrid Compensation & Benefits Manager Location: London Reports to: Head of HR, Global Works closely with: People Team & Finance Team About Us Sokin is a next-generation B2B financial services provider, enabling businesses to make and receive global payments with greater speed, lower cost, and total transparency. Our mission is simple: we’re unifying the best of business banking. We deliver services across: Global payments and receivables Foreign Exchange (FX) Treasury management Finance reconciliations We are rapidly expanding, with established presence in EMEA, APAC, and North America.  Backed by a strong global infrastructure and industry-leading partners, we are redefining how businesses move money worldwide. Our clients span industries from sports and entertainment to logistics and travel, and our community is growing rapidly. As we continue to expand, we’re building a team of exceptional people who share our ambition to transform the future of global payments. The Role This is a highly cross-functional role: you’ll work closely with Finance, including the CFO and Head of FP&A, to ensure our reward decisions are commercially sound and financially sustainable. Key Responsibilities Compensation Develop and maintain salary structures, job levels, and pay bands using market data and benchmarking Lead annual salary review, bonus, and equity/long-term incentive cycles, including modelling, budgeting, and communications Advise managers and People Partners on offers, promotions, and pay adjustments Run job evaluation and levelling to ensure internal equity and consistency Conduct regular pay equity analysis, and gender and ethnicity pay gap reporting where required Finance Partnership Work closely with the Head of FP&A to develop and maintain accurate salary and employee benefits cost forecasts and budgets, including salary reviews, bonuses, employer taxes, pension contributions and other employee-related costs, in collaboration with the Talent team. Partner with the CFO on reward strategy, providing financial modelling and scenario analysis to support decisions on pay budgets, incentive plans, and equity Partner with Finance to develop salary review and bonus budgets, and manage the annual compensation review process to ensure proposed awards align with agreed budgets Collaborate with Finance on the tax treatment of equity, bonus accruals, and benefits costs Provide regular reporting to Finance and the CFO on people costs, pay competitiveness, and cost-versus-value of benefits Support Finance with business cases, ROI analysis, and board or investor materials relating to reward Benefits Manage the full benefits portfolio (e.g. pension/retirement, health and life insurance, wellbeing, leave, and flexible benefits) Manage relationships with benefits brokers, insurers, and providers, including renewals and tenders Evaluate new benefits offerings and monitor take-up and employee satisfaction Ensure benefits communications are clear, accessible, and engaging Governance and Analytics Ensure compliance with employment, tax, and pensions legislation across all operating locations Build dashboards and reporting on compensation costs, pay competitiveness, and benefits utilisation Support the remuneration committee or leadership with data, proposals, and market insights Own relevant policies, documentation, and audit readiness Operations and Projects Partner with Finance on headcount planning, budgeting, and cost forecasting Work with Payroll and HRIS teams to ensure accurate data and smooth processes Contribute to M&A, international expansion, and organisational design work from a reward perspective Requirements Essential 5-7 years of experience in compensation and benefits, reward, or a related HR analytics role Strong analytical and financial modelling skills, with advanced Excel/Google Sheets Hands-on experience with salary benchmarking tools and surveys (e.g. Radford, Mercer, Korn Ferry, Willis Towers Watson) Solid knowledge of employment, tax, and benefits regulations in relevant jurisdictions. Experience running an annual pay review cycle end to end Excellent communication skills, with the ability to explain complex topics simply to employees and executives High attention to detail and strong judgment when handling confidential data Desirable Experience in fintech, technology, or a high-growth environment Experience with multi-country reward and equity plans Familiarity with HRIS and compensation platforms (e.g. BambooHR and Pave) Experience with pay transparency and pay equity regulations Key Competencies Commercial and business-minded Confident influencing senior finance and executive stakeholders Data-driven and analytical Fair, ethical, and discreet Collaborative and consultative Comfortable operating with ambiguity and changing priorities Please note, candidates will need to have the right to work in the jurisdiction that they are looking to work in. Sokin is an equal opportunities employer and committed to maintaining an inclusive work environment. As a growing global startup with bases across multiple countries, we were established on and continue to promote an agile, flexible working culture. Please reach out to discuss any accommodations you may require during the recruitment process.

Location: Remote - US Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Machine Learning Engineer, Customer Memory. About the job This position is needed to build and scale the pipelines that turn raw conversation data into structured, searchable customer memory, and the evaluation systems that keep that memory accurate as the product evolves. You'll join the Conversation Memory team, which builds the memory layer behind Twilio's Conversational AI platform: the systems that extract what matters from millions of conversations, resolve it to the right customer, and retrieve it in milliseconds when an agent needs it. Memory that is wrong, stale, or crossed between customers is worse than no memory at all, so quality measurement is a first-class part of the work. Responsibilities In this role, you’ll: Build the extraction pipeline that turns raw data into structured memory, tuning the LLM prompts and schemas that decide what an AI agent remembers about a customer and what it forgets. Own the retrieval path that answers "what do we know about this person?" in milliseconds, working with embeddings, vector search, and ranking Contribute to the eval systems that tell us whether memory is actually getting better, turning a fuzzy question of quality into benchmarks and regression gates that run before every change ships. Diagnose production issues across the ingestion, extraction, and indexing path using logs, metrics, and traces. Partner with Product and ML teams to translate customer problems into system changes and evaluation criteria. Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! Required: Experience building backend services, and a demonstrated ability to pick up new languages, frameworks, and tools as the problem demands. A curious approach to service management: ability to investigate how systems actually behave in production, and desire to continuously learn how to operate them with rigor and accountability. Experience building or working with evaluation/quality-measurement systems, such as regression detection or quality metrics, or the desire to learn. Solid grounding in observability practices: structured logging, metrics, and using them to debug distributed systems in production. Fluency with AI-assisted dev tools (e.g. agents for code generation, review, debugging), applied with deliberate direction and critical thinking. Desired: Experience with Go and/or Python. Experience with event-streaming systems (e.g. Kafka). Experience building LLM-backed products. Practical experience applying ML, e.g. building, evaluating, or productionizing models. Location This role will be remote, but is not eligible to be hired in San Francisco, CA, Oakland, CA, San Jose, CA, or the surrounding areas. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Compensation *Please note the salary range information provided applies only to candidates residing in California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State due to local requirements. Compensation for candidates in other locations will be discussed during the hiring process. Please note that hiring for this role is not restricted to the locations listed above. The estimated pay ranges for this role are as follows: Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $128,560 - $160,700 Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $136,000 - $170,000. This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. Application deadline information Applications for this role are intended to be accepted until November 13, 2026 but may change based on business needs. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Location: United States, Austin, TX Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Data Center Strategy & Commercial Management Specialist Sony Interactive Entertainment is seeking a Data Center Strategy & Commercial Management Specialist to support the ongoing evolution of SIE’s global colocation footprint. This role sits within the Technical Operations department of the Global Developer Future Technology Group (GDFT), the organization responsible for building and operating the data center infrastructure that underpins PlayStation’s Cloud Gaming, Broadcast, and Developer Platform services worldwide. Our colocation environments host critical workloads ranging from real-time game streaming to content distribution, developer build systems, and testing environments. The successful candidate will lead the strategic planning, commercial management, and capacity management of SIE’s global colocation estate, ensuring infrastructure availability aligns with business growth, resilience, performance, and cost objectives. This role is responsible for translating business growth forecasts into practical colocation capacity, power, and infrastructure strategies across existing and future sites. The role combines commercial leadership, provider management, infrastructure planning, and technical coordination across a complex global environment. This is not a facilities operations role; however, the successful candidate must possess strong technical literacy in colocation infrastructure, including mechanical and electrical resiliency models, power and cooling constraints, and operational dependencies, in order to support informed commercial, contractual, and strategic decisions. Responsibilities: Colocation Strategy & Capacity Planning – Translate business growth forecasts and platform requirements into short-, mid-, and long-term colocation capacity strategies across existing and future sites, accounting for scalability, resiliency, performance, and regional demand. Commercial Management – Own the commercial strategy and lifecycle of SIE’s global colocation footprint, including renewals, expansions, exits, commercial obligations, and strategic capacity planning across multiple providers and regions. Commercial Negotiations – Lead commercial negotiations with colocation providers for renewals, expansions, new capacity acquisitions, and related commercial agreements in partnership with internal legal and procurement teams. Provider Relationship Management – Develop and manage strategic relationships with colocation providers, ensuring effective oversight of contractual obligations, service delivery, commercial commitments, escalations, and operational performance. Infrastructure Planning Coordination – Partner with operations, engineering, product, and business intelligence teams to translate deployment forecasts into actionable power, space, and capacity requirements across the global estate. Colocation Sourcing & Market Analysis – Support colocation sourcing activities including market assessments, provider evaluations, regional capacity analysis, commercial benchmarking, and expansion planning. Vendor & Contract Oversight – Manage contract governance, service-level oversight, commercial risk, and compliance requirements across a diverse global provider ecosystem. Commercial Analysis – Support sourcing and capacity decisions through commercial analysis, provider benchmarking, market comparisons, and evaluation of colocation pricing, terms, and service offerings. Lifecycle Governance – Maintain oversight of key commercial and operational milestones, including lease events, capacity commitments, renewals, expansions, migrations, and decommissioning activities. Performance & KPI Management – Define, monitor, and report on operational and commercial KPIs to drive accountability, transparency, and continuous improvement across the colocation estate. Executive Reporting & Governance – Develop reporting and governance frameworks that provide clear visibility into capacity, commercial exposure, provider performance, risk, and strategic opportunities. Market & Industry Awareness – Maintain awareness of colocation market trends, regional supply dynamics, pricing movements, provider capabilities, and industry developments to support strategic decision-making. Regulatory & Sustainability Alignment – Ensure infrastructure planning and commercial decisions align with environmental, sustainability, regulatory, and compliance requirements across multiple global regions. Decision-Making & Strategic Recommendations – Operate effectively in environments with evolving or incomplete business forecasts, providing infrastructure and commercial recommendations that balance growth, risk, timing, and cost considerations. What We’re Looking For: 7+ years of experience in colocation strategy, data center commercial management, infrastructure sourcing, capacity planning, or related disciplines within large-scale global environments. Demonstrated experience leading commercial negotiations with colocation providers, including renewals, capacity expansions, pricing negotiations, SLAs, and contractual commitments. Strong understanding of colocation commercial constructs, including leases, service orders, SLAs, power commitments, contractual obligations, and provider governance models. Experience managing colocation provider relationships across multiple regions, with understanding of market dynamics, supplier capabilities, and commercial models. Strong understanding of colocation infrastructure, including power, cooling, resiliency, and capacity constraints, with the ability to connect technical considerations to commercial and business outcomes. Experience translating business or deployment forecasts into actionable infrastructure capacity, power, and space strategies. Experience supporting colocation sourcing activities including provider evaluations, market analysis, commercial assessments, expansion planning, and capacity negotiations. Experience evaluating colocation commercial proposals, pricing structures, service offerings, and contractual terms to support infrastructure and capacity decision-making. Strong analytical and organizational skills, with the ability to manage complex datasets, contractual obligations, lifecycle milestones, and regional planning assumptions across a global footprint. Experience developing governance processes, KPI frameworks, and executive-level reporting for infrastructure, commercial, or capacity management functions. Excellent communication and stakeholder management skills, with the ability to influence technical, operational, financial, legal, procurement, and business stakeholders across multiple levels of the organization. Self-motivated, detail-oriented, and comfortable operating within a fast-paced, globally distributed environment. Ability to operate effectively at both strategic and tactical levels, balancing long-term infrastructure strategy with day-to-day commercial and operational priorities. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $184,500 — $276,700 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Poland; Peru; Latvia; Colombia; Argentina; Romania; Slovenia; Lithuania; South Africa; Czech Republic; Estonia; Hungary; Mexico; Chile; Slovakia; 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 across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. The Consumer team owns the Kraken app experience used by millions of traders and crypto newcomers worldwide, the product that turns someone's first crypto curiosity into a long-term relationship with Kraken. We build the interfaces people actually use to buy, sell, manage their portfolio, and interact with their assets. Our stack is React on web and React Native on mobile, and we ship fast, measure everything, and iterate based on real user behaviour. We work agile, globally distributed, and we care as much about why we build something as how we build it. We're looking for a world-class Senior Frontend Engineer to join our product-minded engineering team: we care about customer problems, measurable outcomes, frontend craft, and fast iteration. We work across web and mobile surfaces, partner closely with Product, Design, Data, and Platform teams, and use experimentation, observability, and user behaviour to guide what we build next.   THE OPPORTUNITY - Design, develop, and maintain high-quality consumer-facing features across web (React) and mobile (React Native), owning the full experience from concept to production monitoring. - Own the full lifecycle of product work, from discovery and technical design through release, monitoring, experimentation, and iteration. - Drive A/B testing and experimentation strategies forming hypotheses, designing experiments, analysing results, and iterating based on data. - Partner with Product, Design, Data, and Mobile engineers to create coherent experiences across Kraken’s consumer surfaces. - Make opinionated technical decisions on framework and architecture choices (we want engineers who have strong views on things like TanStack Router vs Next.js App Router and can back them up with real experience). - Set the standard for high-quality code — functional correctness, accessibility, performance, and testability are non-negotiables. - Mentor engineers across seniority levels and contribute to a culture of craft and continuous improvement. - Lead and collaborate on complex cross-platform initiatives, driving alignment across web and mobile surfaces. - Stay ahead of the curve on React ecosystem tooling, React Server Components, concurrent features, streaming, and bring those insights back to the team. - Work AI-natively, we use AI tools across the full SDLC and expect engineers to have a structured, opinionated workflow, not just autocomplete.     WHAT YOU BRING - 6+ years of professional software development experience with a strong focus on consumer-facing web and/or mobile products. - Deep expertise in TypeScript and the React ecosystem, you have opinions about state management, data fetching patterns, and component architecture, and you can articulate the trade-offs. - Production experience with React Native and cross-platform mobile development, including App Store and Google Play release pipelines. - Experience with Next.js — specifically familiarity with App Router, React Server Components, and the client/server boundary decisions that come with them. - Hands-on experience with A/B testing, feature flags, and experimentation frameworks (LaunchDarkly, Optimizely, or similar). - Experience with WebSockets or Server-Sent Events for real-time UI updates. - Strong testing culture Jest, React Testing Library, Playwright or Cypress, and the judgement to know when to use each. - Familiarity with modern build tooling (Vite, Webpack, CI/CD pipelines) and performance profiling. - Experience in fintech, crypto, payments, or other high-trust consumer products where correctness and user confidence matter. - Strong written and verbal English, you can write a clear RFC, give direct feedback in a PR review, and explain a technical trade-off to a non-technical stakeholder. - An active AI-assisted development workflow, Cursor, Claude Code, Copilot, or equivalent with the engineering rigour to review and own what gets produced.           Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on X https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: Remote About GiveDirectly What if the most effective way to fight poverty was also the simplest: give people money and trust them to decide what they need? Since 2011, GiveDirectly has proven that idea at scale. We’ve delivered more than $1B in cash directly to 2+ million people living in poverty and crisis across 15 countries, and rigorous research shows the results: healthier kids, stronger businesses, sturdier homes, and more resilient families and local economies. Cash is now widely recognized as one of the most scalable, cost-effective, and dignified forms of aid. Our ambition goes beyond our own programs. We want cash to become the benchmark for aid, much as the index fund became the benchmark for investing, so that every aid dollar is held to one question: is this doing more good than giving the money directly to people living in poverty? We’re growing fast, and this is a rare and important moment to join. We expect to hit $1B in revenue in 2026 with significant growth forecast for 2027. At the same time we are building a new technology stack and operating model designed for a roughly 10x change in scale, and we are actively pursuing partnerships with major funders to move even more money in bigger ways, to people who need it. We are known for our extensive integration of technology into field processes; our quantitative approach to performance measurement; and our commitment to rigorous, independent, experimental evaluation of our impact, with multiple Randomized Control Trials completed and others in progress. How we work Our team spans 20+ countries and 69 languages. Our culture is candid, analytical, and non-hierarchical. We expect high ownership and give people real responsibility early. Our values are central to how we hire, work, and grow, and they are deliberately opinionated: Recipients first. Recipients’ preferences come before those of donors or ourselves. Team next. We optimize for organizational success, not individual success. Be proactively candid. We say what we believe and share information openly. Create positive energy. We aim to be a source of energy for colleagues, not a drain. Think rigorously; act quickly. We reason from first principles, then act rather than debate. Know yourself and grow. We own our imperfections and seek feedback to grow. Accept reality. Propose solutions. We focus on what can change and bring solutions, not just problems. Be productively ambitious. We take risks for step-change impact, not incremental progress. If they describe how you like to work and they energize you, this could be a great fit. Want to learn more? Read and listen: We are one of Time100’s Most Influential Companies of 2026, and our work has been covered by The Economist , NPR , TED , and The Washington Post . We're now preparing to deliver billions of dollars a year to people in extreme poverty, if funding allows. Read our CEO's essay on what that will take. About this role GiveDirectly gives cash directly to people living in poverty and in emergencies. Both depend on the same question: did this person live in this place, at this time? We ask it when we target the poorest households, and when a disaster displaces a community overnight. Location records held by Mobile Network Operators (MNO) can help us estimate an answer to this question at scale. We work with MNOs so they can infer, from their own records, whether a subscriber was resident in a target area over a defined period. Robust residence location inference from MNO data requires in-depth analytical work, and the methods we design have to run on an operator's systems - most often implemented by their engineers - under strict data protection and confidentiality rules. We are hiring a Senior Data Scientist to progress our work on location inference from MNO data, and to make it repeatable. Your job is to improve and extend our library of method templates, adapt them to each new operator and setting, and design new elements when an intervention requires it. You'll assess what can be inferred from a given operator's data, specify the analysis clearly enough for their data engineers to implement, then test it with them remotely or on site. You'll support introductory meetings with MNOs, describing methodologies at a high level, and inform the work of data privacy and cybersecurity teams to ensure only necessary data are shared securely. You'll also help colleagues across GiveDirectly understand the strengths and limitations of this data source, so we design programs around questions it can best answer. This work is live in several countries, and we're expanding it across the countries where we have offices and to low- and middle-income countries anywhere in the world when a crisis hits. Reports to: Senior Product Manager - MNO data Level : Senior Manager Location: At this stage of GiveDirectly’s growth and scale, we’re prioritizing hiring in the countries below, where we can employ you through a GD entity or an established employer of record: Cameroon, Canada, Colombia, DRC, Germany, Ghana, Kenya, Malawi, Mozambique, Netherlands, Nigeria, Poland, Portugal, Rwanda, South Africa, Spain, Turkey, Uganda, United Kingdom, and United States. This list reflects where our employment infrastructure is established today, and may evolve as we grow. If you’re based elsewhere and not open to relocation, we may not be able to consider your application for this role right now, but we’d encourage you to check back. Please note that we are unable to sponsor or take over sponsorship of employment Visas in the U.S. or U.K. at this time. Travel Requirement: Substantial international travel, roughly 25 to 50% of your time depending on emergencies, sometimes at short notice - for workshops with operators to support programs and emergency responses. What you’ll do: Improve and extend our library of analytical method templates for establishing where people live from MNO data, and depending on circumstances, for detecting displacement or estimating poverty. Design novel methods when an intervention requires it. Support colleagues in technical conversations with operators, bringing clarity on the data we need and why, and steering discussions toward technical designs that make the analysis workable. Assess the information that can be inferred from each operator's data given data types and sparsity, and for each geography and targeted area. Support intervention design to account for data quality. Write tests and method specifications for MNO data engineers to implement: steps, parameters, pseudocode, validation criteria. Guide operator engineering teams through implementation, in writing and in person. Adapt methods to accommodate large data volume and computational constraints, balancing accuracy and operational needs. Run in-country workshops with operators to support the set-up of new analyses and - where feasible - tune parameters based on statistical tests and distributions. Feed every new analytical and implementation element back into standard templates, so the next country or intervention starts from a better position than the last. Design for privacy from the start, so that as little data as possible has to be shared: aggregation, minimization, and where useful, privacy-enhancing technologies such as private set intersection or homomorphic encryption. Protect the confidentiality of what operators share with us and improve internal data security processes and tools as we grow. Build internal training material so that our technical and non-technical teams understand the strengths and limits of this data, and design interventions accordingly. What you’ll bring: Exceptional alignment with GiveDirectly Values and active demonstration of our core competencies: emotional intelligence, problem solving, project management, follow-through, and fostering inclusivity. We welcome and strongly encourage applications from candidates who have personal or professional experience in the low-income and/or historically marginalized communities that we serve. Strong mathematical modeling, machine learning and statistics. You choose methods for the question rather than for their sophistication, and you value being able to explain a result over squeezing out the last point of performance. Deep comfort with spatio-temporal data: temporal filtering, GIS, probability distributions, combinatorial reasoning, and working with sparse, irregular observations. Direct experience with Call Detail Records (CDRs) or latching data is a strong plus. Comparable experience with mobility, transport, sensor or remote-sensing data counts. The ability to reason without ground truth. Much of this work has no validated answer to check against, and you're comfortable setting parameters by reading the shape of the data and defending that choice. Pragmatism about the trade-off between accuracy and implementability. You've deliberately simplified a method to fit an operational constraint, and you can say what it cost you. Excellent communication and relationship-building skills. You can explain a method and its limitations to an operator's engineers, to their data protection officer, to their leadership and to colleagues with or without technical background. You write well and are comfortable presenting to these multiple audiences. You build trust with counterparts you don’t manage, and they want to work with you again. Experience writing technical specifications that other teams implemented, clear enough that people you don't manage could follow them correctly. Able to read and review SQL and Python written by others, and to find the logical error in someone else's query. Writing production-quality code yourself is welcome but not required. Enough understanding of large data volumes and databases to judge when analytical simplification is required. Commitment to privacy by design as a foundational value and starting point rather than a compliance step: designing analyses so that less personal data has to be shared. Familiarity with privacy-enhancing technologies for shared computation (private set intersection, secure multi-party computation, homomorphic encryption) is a strong plus. Commitment to confidentiality. You've handled a partner's commercially sensitive data and can describe the habits you built around it, not just the clause you signed. Experience designing training material that changed how non-specialist colleagues used a data source. Comfort in fast-moving contexts where the brief may often shift, and where your technical expertise and understanding may not be shared by other stakeholders. Additional desirable experience may include: poverty modeling; familiarity with survey data and survey instruments; experience inside a mobile network operator or working closely with one; open-source contributions in the mobility estimation space. Comfortable with travel to fragile and post-disaster contexts. Language Requirement: English. Language Preferences: French, Portuguese, Swahili or Spanish. Compensation At GiveDirectly, we strive to pay our employees generously and equitably. We use an accredited third party salary aggregator to calculate what we believe to be competitive pay based on role, location, and cost of living. We also have a no negotiation policy to ensure we are paying staff equitably across roles. Read more about our compensation philosophy here . Unless otherwise noted, the benefits stipend may be used to cover benefits or taken as additional taxable income. United State Base Salary: $107,070 Bonus at Target Performance: 10% Annual Benefits Stipend: $21,393 United Kingdom Base Salary: £70,250 Bonus at Target Performance: 10% Annual Benefits Stipend: £2,760 Kenya Base Salary: $ 72,550 Bonus at Target Performance: 10% Annual Benefits Stipend: $8,454 This role is fully remote, so if you are not based in the US, UK or Kenya, we will share an estimated salary benchmark for the country you are based in during the hiring process. #LI-REMOTE Working at GiveDirectly GiveDirectly is an Equal Opportunity Employer. All qualified applicants are considered for employment without regard to the person’s race, color, religion, national origin, sex, sexual orientation, age, marital status, veteran status, disability, or any other characteristic protected by applicable law. Flagging for US applicants: We invite you to " Know Your Rights " as an applicant. Commitment to Safeguarding As a global organization working with communities to eliminate extreme poverty, GiveDirectly takes the safeguarding of its recipients, staff, and partners seriously. To that end, GiveDirectly is a member of the Misconduct Disclosure Scheme , and will systematically check with previous employers about any abuse or misconduct related matters involving potential new hires. We may also employ other robust pre-hire screens, including in-depth reference checks, criminal background checks, and sanctions screens. These efforts help us continue to build and maintain trust with the communities we work with, and prevent abuse to our recipients and staff. **GD is committed to observing all local, national and international laws that protect people and basic human rights of all. GD is committed to a policy of “zero tolerance when it comes to preventing,  reporting, or responding to any form of abuse or  exploitation.” and expects anyone who works for GD to uphold the protection and safeguarding of our recipients as a priority.** Reasonable Accommodations We are committed to fostering an inclusive and accessible work environment. If you require any accommodations during the application or interview process, or to perform the essential functions of the role, please email us at careers@givedirectly.org with the email subject “Accommodation Needed”. We will work with you to ensure reasonable accommodations are made to support your needs. Want to put your best foot forward on your GiveDirectly application? Take a look at our Candidate Application Prep Guide !

Location: London Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Harvey's Finance Engineering team is the investment-side counterpart to our Legal Engineering team: former investment professionals who bring real deal experience to Harvey's prospects and customers. Forward Deployed Finance Engineers lead discovery, demos, pilots, trainings, onboarding, and custom builds alongside our AEs and CSMs. They translate real investment work into Harvey solutions, serving as the trust layer across the entire customer lifecycle, from the first pilot to the most complex, custom-built workflow. Finance Engineers work on Harvey Deals, a new product built off of Harvey's acquisition of Benchmark. Harvey Deals is where investment teams run their deals — screening, underwriting, diligence, and committee materials — built in the firm's own templates and formats, with every figure traceable back to the document it came from. Harvey works with 150+ asset management firms and analyzes 178M+ documents each month; the Finance Engineering team is how that capability meets the way deal teams actually work. Finance Engineers understand how investors think and work, and use that expertise to design, build, and refine solutions that hold up under live deal pressure. In doing so, they don't just drive adoption; they shape Harvey's product roadmap, ensuring every release is grounded in what investment teams actually need. It's a team built to make Harvey the platform investment teams can trust with their most important work. This role is the first Finance Engineer dedicated to private credit. You will build the credit playbook — demo library, workflow templates, use cases — while running live pilots, and lead the credit practice as the team grows. You may be asked to travel around 2–3+ times per month. Travel is always for a significant business need and typically is for 1–3 days at a time. WHAT YOU'LL DO Forward Deployed Finance Engineers on the private credit team are former credit investors who left the desk to help build the future of how credit gets underwritten. Working closely with Account Executives, they engage with direct lenders, opportunistic and specialty finance managers, BDC managers, and insurer credit arms throughout the pre-sales process and stay with them well past it — leading pilots on live opportunities, guiding lenders through what's possible with AI, and sitting down with credit teams to build screening, underwriting, and credit committee workflows in the firm's own templates and formats. The work is the work they did on the desk: lender presentation and CIM review; QoE read-throughs and data pack analysis; cash flow and leverage modeling; sizing and structuring; covenant and credit agreement review; credit memo drafting; and comps. It continues post-close into compliance certificate review, covenant tracking, amendment and waiver analysis, and quarterly portfolio reporting, so value compounds after the first deal. Along the way, Finance Engineers bring credit-team feedback back into the product, helping shape the future of Harvey. WHAT YOU HAVE - 6+ years on the investment or underwriting team at a direct lender, private credit fund, BDC manager, or insurer private credit arm, with demonstrated ownership of live deal work: screening, underwriting, diligence workstreams, modeling, structuring, and drafting credit committee materials. Asset-based and specialty finance backgrounds are welcome. Leveraged finance, restructuring advisory, or rating-agency experience before the principal side is welcome, but principal-side deal execution is required. - Strong command of the documents and data that drive a credit decision — lender presentation and CIM, QoE and data pack, model, credit agreement and intercreditor, compliance certificates — and an instinct for where the numbers and the paper disagree. - Advanced Excel and financial modeling, comfort with prompting and agentic AI workflows, and a builder's instinct for turning a repeated manual process into a repeatable automation. Python, SQL, or experience building internal tools is a plus. - Executive presence and relationship-building skills, with the ability to establish credibility from analysts and associates through to partners and credit committee members. - Outstanding communication and presentation skills — comfortable leading a live demo, facilitating a workshop, or holding your own in a technical conversation about a covenant package or an underwriting assumption. - Deep curiosity about AI's potential to transform investment work, paired with a practical, solutions-oriented mindset and bias toward action. - Track record partnering with senior stakeholders to drive results, with curiosity for testing approaches and optimizing for customer outcomes. - Customer-facing or commercial experience (LP or investor relations, capital formation, banking coverage, business development) and/or hands-on experience using AI tools in an investment setting are pluses. DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-LL1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Limassol, Cyprus Workplace: fully Sumsub is the first AI-powered trust infrastructure for compliance operations at scale. It connects identity and business verification, fraud prevention, transaction monitoring, and risk workflows, helping teams reduce manual work and enter new markets. Trusted by over 4,000 clients across financial services, crypto, mobility, trading, marketplaces, education, and iGaming, including Bybit, Bitpanda, Wirex, Avis, Vodafone, Duolingo, and Kaizen Gaming. Sumsub is recognized as a Great Place To Work® in the US and rated 4.5 out of 5 on Glassdoor. Our 1,000+ people around the world back it up, too: 92% are proud to be Sumsubers, and 90% say their work is interesting and challenging. Now we are looking for a Senior Finance Manager to help business teams make informed financial decisions across multiple entities and jurisdictions. This role is an exciting opportunity to combine business partnership with ownership of entity reporting, from month-end close to IFRS financial statements. What You Will Be Doing: Partner with business stakeholders on commercial arrangements and operational changes, challenge assumptions and flag financial risks early. Analyse revenue, costs, margins and collections, explain the underlying business drivers and work with stakeholders to act on your recommendations. Own month-end close for assigned entities, coordinating accountants and functional owners on postings, accruals and reconciliations. Review P&L, balance sheet and receivables, explain movements and reconcile preliminary and final results on time. Prepare standalone financial statements and reporting packages under group IFRS requirements, and coordinate local statutory reporting and audits with external advisers. Work with Tax on calculations, balances and reporting inputs, ensuring correct accounting treatment and resolving discrepancies. Review intercompany balances, charges and supporting calculations, and coordinate with the consolidation owner. Improve NetSuite reporting, financial controls and data quality, investigate integration issues and follow corrective actions through to completion. About You: A bachelor’s degree in Accounting, Finance, Audit or a related field, with 4+ years of experience in external financial audit or financial reporting. An external financial audit background, with Senior-level ownership of significant audit areas or engagements. Big Four experience is a plus. Strong IFRS knowledge and a practical understanding of financial statements, month-end close and balance sheet reconciliations. ACCA Financial Reporting (formerly F7) or DipIFR is required. The ability to connect financial results with business operations, assess proposed changes and explain recommendations clearly to non-finance colleagues. Advanced Excel skills and experience working with ERP data. NetSuite experience is a plus. A curious, proactive approach, sound judgement and the ability to manage deadlines and follow issues through independently. Fluent English. What We Offer: Remote-first, trust-based culture. Work from the place that works best for you. No mandatory office days, no attendance trackers. In some locations, we provide offices or coworking spaces, but the choice is yours. True flexibility. We do not fix you to a 9-to-5 schedule. You can adjust your working hours when needed, as long as your day stays productive and in sync with the team. Extra time off. Your birthday is a holiday here. Add to that 10 personal days each year, seven sick days without paperwork, and extra time to enjoy Christmas and New Year. Time to rest is part of the deal. Work that matters. Our mission is to build a digital world that is secure, accessible and inclusive for everyone. From fighting fraud to making online services easier and safer to use, your work will have a real impact on how people experience trust online. Compensation. We offer fair and transparent pay, benchmarked to the market. Truly global. We work across continents and time zones, with teammates and customers from all over the world. You will run campaigns that cross borders, cultures, and languages, and see your ideas land worldwide. Growth built in. Clear goals, open feedback and personal development plans. We support your progress with learning opportunities and by covering role-specific events, from design conferences to marketing forums. Celebrating your big moments. We are proud to support you through life’s biggest journeys with dedicated financial bonuses for both marriage and welcoming a new baby to your family. Team offsites. Sometimes just Slack is not enough. That is why we meet in person a few times a year. Trips are fully covered, so you can meet, collaborate, and recharge together. Getting you set up. We make sure you have access to the tools and hardware you need to do your work well. Friendly by design. Our logo is a dog for a reason. We keep things human, open and kind. We welcome individuality, quirks and different perspectives, because that is what makes our work smarter and more fun. The hiring stages: TA screening -> Hiring Manager Interview -> Final Interview. Sounds like a great opportunity for your career development? Then go ahead and apply! We are a global community of innovators, creators, and thinkers, and we believe that diversity fuels our innovation. Sumsub is proud to be an equal opportunity employer, committed to building a diverse and inclusive workforce. We welcome applications from people of all backgrounds, cultures, genders, experiences, abilities and perspectives. Join us in shaping the future inclusively. We believe in fair and transparent compensation. Salaries vary depending on work location and applicable local market conditions. This role is open to candidates in multiple countries, and compensation differs based on the candidate’s confirmed work location. For this reason, a single universal salary range is not included in this job posting. The applicable work location will be confirmed early in the recruitment process, and the relevant compensation information for that location will be shared in writing, in line with local requirements.

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Austin About The Department Cloudflare’s Infrastructure group is responsible for building our global network. Our Hardware Engineering team helps research, develop, test, and deploy new equipment enabling 20% of the world’s internet traffic to be served smoothly. Deployed across 330 cities in 120+ countries, the hardware we select helps improve the security, reliability, and performance of the Internet. About The Role We need to make thoughtful infrastructure choices affecting a significant portion of the Internet. Hardware we work with includes servers and components, as well as PDUs and network hardware. As a Hardware Systems Engineer, you will work with colleagues on the Engineering teams, Product and Performance teams, and Hardware Sourcing teams to design, qualify and maintain Cloudflare’s worldwide fleet of servers What You'll Do Support and assist in the end to end server product qualification from concept to deployment, ensuring hardware designs (electrical, thermal and mechanical) are optimized for seamless, large-scale implementation by the Infrastructure Operations team. Support and assist gathering product requirements for next generation of servers, and work with silicon vendors to assess performance and select the components (CPU, memory, disk, NIC, GPUs etc) Collaborate closely with strategy, sourcing, and capacity planning teams to steer server infrastructure initiatives in alignment with Cloudflare’s business goals Collaborate with the Site Reliability Engineering team to onboard and integrate the next generation of servers into provisioning tools and fleet management tools. Collaborate with performance team and software teams to optimize software performance on the hardware Collaborate with cross-functional teams to deploy firmware updates, triage hardware problem reports, resolve hardware issues, maintain automation tools. Communicate your results and updates through blog posts and internal talks Examples Of Desirable Skills, Knowledge And Experience Bachelor’s degree in Computer Engineering, Electrical Engineering, or Computer Science Foundational knowledge or internship/academic experience with compute design engineering, validation, performance benchmarking, debugging, and deployment used in the data center Curiosity and desire to learn about the Cloudflare hardware and products used by 20% of all web sites Desire to learn how a diverse server fleet is managed at scale with tools such as traffic management, capacity planning and failover mechanisms Desire to learn the tools Cloudflare uses to maintain and monitor our hardware Harness AI tools and automation to fundamentally accelerate the qualification lifecycle, driving exponential efficiency gains and quality standards. Possess the organizational skills and interest to manage cross-functional technical projects, ensuring architectural designs seamlessly align with delivery schedules. Thrive as a deeply self-motivated engineer in ambiguous environments, demonstrating a strong bias for action and the ability to drive initiatives forward without close supervision. Bonus Points Master’s degree in Computer Engineering, Electrical Engineering, or Computer Science Knowledge and experience with server hardware including motherboard designs, chassis designs, thermal designs, as well as CPU, memory & storage technology Knowledge of bash, python and basic Linux task automation Knowledge of Redfish, IPMI and server remote management protocols, and experience with firmware updates Knowledge or experience of performance optimization based on hardware / software codesign Knowledge and experience of debugging server hardware faults and the ability to engage with our sourcing team and vendors to improve quality Experience of working with external vendors on server hardware qualification. Experience of observability and monitoring tools such as Prometheus and Grafana, as well as the ability to observe trends over time Experience with software development tools and processes such as Git, TeamCity and Jira Experience in a hyperscale cloud infrastructure role also valuable Compensation Compensation may be adjusted depending on work location. Equity This role is eligible to participate in Cloudflare’s equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits Medical/Rx Insurance Dental Insurance Vision Insurance Flexible Spending Accounts Commuter Spending Accounts Fertility & Family Forming Benefits On-demand mental health support and Employee Assistance Program Global Travel Medical Insurance Financial Benefits Short and Long Term Disability Insurance Life & Accident Insurance 401(k) Retirement Savings Plan Employee Stock Participation Plan Time Off Flexible paid time off covering vacation and sick leave Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: Limassol, Cyprus Workplace: fully Sumsub is the first AI-powered trust infrastructure for compliance operations at scale. It connects identity and business verification, fraud prevention, transaction monitoring, and risk workflows, helping teams reduce manual work and enter new markets. Trusted by over 4,000 clients across financial services, crypto, mobility, trading, marketplaces, education, and iGaming, including Bybit, Bitpanda, Wirex, Avis, Vodafone, Duolingo, and Kaizen Gaming. Sumsub is recognized as a Great Place To Work® in the US and rated 4.5 out of 5 on Glassdoor. Our 1,000+ people around the world back it up, too: 92% are proud to be Sumsubers, and 90% say their work is interesting and challenging. Now we are looking for a Financial Analyst to strengthen our product and commercial finance analytics. This role is an exciting opportunity to work closely with our finance analytics lead and turn operational and accounting data into insights that guide business decisions. What You Will Be Doing: Analyse product and commercial performance, connecting revenue, direct costs and margins with operational drivers. Reconcile billing, operational dashboards and accounting data, investigate discrepancies and keep financial metric definitions consistent. Compare actual results with budgets, forecasts and prior periods, explain material variances and identify actions or areas for further investigation. Work with accountants and functional owners to verify cost completeness, accruals, allocations and the timing of expense recognition. Analyse product cost drivers, unit costs and profitability, keeping assumptions and allocation methods clear and traceable. Build and improve recurring reports and dashboards, define data requirements with Analytics and IT, and reduce manual data collection and reconciliation. Prepare concise management presentations and ad hoc analysis, follow up on discrepancies and strengthen controls over financial reporting data. About You: A bachelor’s degree in Finance, Accounting, Economics or a related field, with 4+ years of experience in financial audit, financial reporting, FP&A or commercial finance. Strong accounting knowledge across P&L, balance sheet and accruals, with experience working directly with accountants. Advanced Excel skills and experience working with large datasets, reconciliations or financial models. An investigative mindset and attention to detail: you can trace figures to source data, test assumptions and explain why reports disagree. The ability to turn business questions into clear metrics, reporting requirements and useful management commentary, organise recurring work independently and turn findings into practical improvements. Fluent English. Nice to have: Senior-level Big Four audit experience, product or commercial finance experience in tech, familiarity with NetSuite or another major ERP, BI tools, Power Query or SQL, or ACCA Financial Reporting or DipIFR. Valuation experience is also welcome when backed by strong accounting and practical data investigation skills. What We Offer: Remote-first, trust-based culture. Work from the place that works best for you. No mandatory office days, no attendance trackers. In some locations, we provide offices or coworking spaces, but the choice is yours. True flexibility. We do not fix you to a 9-to-5 schedule. You can adjust your working hours when needed, as long as your day stays productive and in sync with the team. Extra time off. Your birthday is a holiday here. Add to that 10 personal days each year, seven sick days without paperwork, and extra time to enjoy Christmas and New Year. Time to rest is part of the deal. Work that matters. Our mission is to build a digital world that is secure, accessible and inclusive for everyone. From fighting fraud to making online services easier and safer to use, your work will have a real impact on how people experience trust online. Compensation. We offer fair and transparent pay, benchmarked to the market. Truly global. We work across continents and time zones, with teammates and customers from all over the world. You will run campaigns that cross borders, cultures, and languages, and see your ideas land worldwide. Growth built in. Clear goals, open feedback and personal development plans. We support your progress with learning opportunities and by covering role-specific events, from design conferences to marketing forums. Celebrating your big moments. We are proud to support you through life’s biggest journeys with dedicated financial bonuses for both marriage and welcoming a new baby to your family. Team offsites. Sometimes just Slack is not enough. That is why we meet in person a few times a year. Trips are fully covered, so you can meet, collaborate, and recharge together. Getting you set up. We make sure you have access to the tools and hardware you need to do your work well. Friendly by design. Our logo is a dog for a reason. We keep things human, open and kind. We welcome individuality, quirks and different perspectives, because that is what makes our work smarter and more fun. The hiring stages: TA screening -> Hiring Manager Interview -> Stakeholders Interview -> Final Interview. Sounds like a great opportunity for your career development? Then go ahead and apply! We are a global community of innovators, creators, and thinkers, and we believe that diversity fuels our innovation. Sumsub is proud to be an equal opportunity employer, committed to building a diverse and inclusive workforce. We welcome applications from people of all backgrounds, cultures, genders, experiences, abilities and perspectives. Join us in shaping the future inclusively. We believe in fair and transparent compensation. Salaries vary depending on work location and applicable local market conditions. This role is open to candidates in multiple countries, and compensation differs based on the candidate’s confirmed work location. For this reason, a single universal salary range is not included in this job posting. The applicable work location will be confirmed early in the recruitment process, and the relevant compensation information for that location will be shared in writing, in line with local requirements.

Location: Hong Kong; Taiwan; Malaysia; Thailand; Vietnam; Australia; Japan; India 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 Payward Services is an enterprise infrastructure platform that enables companies to seamlessly integrate trading, payments, funding, and digital asset services through a single unified system. It provides coordinated liquidity, custody, compliance, risk management, and settlement capabilities, reducing operational complexity for fintechs, banks, brokerages, and payment providers. Payward’s Payments & Blockchain team builds the capabilities that move money into and out of its products, connecting banking partners, payment providers and local rails for millions of users. We’re building a peer-to-peer marketplace for Asia-Pacific that lets users buy and sell digital assets directly with each other using familiar local payment methods. Payward will provide the marketplace infrastructure, merchant network, escrow, transaction management, and trust and safety capabilities. We’re looking for an experienced product leader who has launched crypto P2P in APAC and can turn that expertise into a shared platform serving multiple Payward products. THE OPPORTUNITY - Strategy and market expansion: Set the P2P vision, business objectives and roadmap. Prioritize markets, customer segments and payment methods based on demand, competitive conditions, economics and regulatory requirements. - Merchant network and liquidity: Develop the merchant acquisition, onboarding, incentives and retention strategy. Work with commercial and local teams to build dependable liquidity, competitive pricing and coverage across relevant payment methods. - Marketplace economics: Define fee structures and incentive programs. Set commercial targets and improve revenue, transaction costs and contribution margin with finance and commercial partners. - Core P2P capabilities: Lead product development across matching, escrow, order management, payment confirmation, transaction limits, merchant controls and dispute handling. - Platform adoption: Build reusable capabilities and integration requirements that allow multiple Payward products to offer P2P. Make the platform straightforward to integrate, operate and extend into new markets. - Buyer, seller and merchant requirements: Define transaction workflows, exception handling and acceptance criteria. Bring customer research and marketplace expertise into interface decisions, and use transaction data to identify friction and improve completion. - Trust and marketplace integrity: Partner with risk, compliance, legal and operations to build merchant verification, fraud prevention, dispute resolution and appeals into the product from the outset. - Launch and operating performance: Lead cross-functional launch planning and establish the processes needed to run each market. Track liquidity, order completion, time to trade, repeat usage, dispute rates, fraud losses and platform reliability. - Product leadership: Align senior stakeholders around priorities and tradeoffs, work closely with engineering on system capabilities, and develop product talent as the platform scales. Apply proven P2P playbooks and move quickly from decisions to live transactions. WHAT YOU BRING - A demonstrated record of launching and scaling a crypto P2P marketplace in APAC, ideally including a launch from zero. - Senior product leadership experience with responsibility for strategy, roadmaps and measurable commercial outcomes. - Deep understanding of merchant operations, two-sided liquidity, pricing, incentives and the economics of P2P trading. - Practical knowledge of APAC payment methods, local banking and wallet ecosystems, and how customer behavior differs across markets. - Experience building shared platform capabilities used by multiple products, channels or external partners. - Strong judgment about fraud, payment verification, transaction disputes and the operational realities of running a financial marketplace. - Technical fluency across APIs, transaction lifecycles, payment integrations and reliable financial systems. - The ability to influence senior stakeholders and lead through partnerships with engineering, interface product teams, operations, risk and commercial teams. NICE TO HAVES - Experience expanding P2P across several APAC markets. - Experience with stablecoins and local fiat on/off-ramps. - Experience building and leading product teams. - Fluency in one or more APAC languages. Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on X https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: Brazil; Peru; Colombia; Argentina; Mexico; Chile Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. Kraken's engineers build a lot of software. Developer Platform AI builds the AI systems they use to do it: agents that write and review code, simple access to the best models in the tools they already use, and the infrastructure that connects AI to our internal systems. This is a small team with a lot of reach. The tools you ship will change how engineers across Kraken work every day, and you'll see that happen directly. The work spans agent platforms, code review, LLM routing and cost controls, MCP integrations with tools like Slack, Jira and GitLab, and the security and observability that make all of it safe to run. If you want to work on applied AI with real users from day one, this is that job.   THE OPPORTUNITY - LLM traffic doesn't behave like normal API traffic. Requests are long-running, streaming and expensive. One prompt can cost a few cents or a few dollars. One team's burst can burn another team's budget. Providers change their rate limits, failure modes and pricing without warning. Running this well is a problem few companies have solved, and it's the job. - Own the reliability of the platform engineers depend on: the AI Gateway, the agent runtime and the connections to internal tools. Set the SLOs, own the error budgets and decide what happens when they're spent. - Design resilience across model providers: routing, failover, retries, rate limiting and graceful degradation when a provider is slow, throttling or down. - Make LLM traffic legible. Build observability that shows latency, errors, token usage and cost by team, model and use case, so engineers can see what their workloads cost and where they're spending their time waiting. - Treat capacity and cost as one problem. Routing decisions affect both latency and spend, and you'll own the tradeoff directly. - Work with Security, Finance and AI governance to put access controls, budgets, audit logging and data handling into the platform, not into a spreadsheet next to it. - Lead incident response and blameless post-incident reviews. Turn what breaks into fixes that stay fixed. - Automate operations with infrastructure as code, safe deployments and progressive rollouts, so the platform gets more reliable as it grows rather than more fragile. - Mentor engineers and raise the operating standard across the team. This is a Staff role. You'll set the technical direction for how the platform runs, not just keep it running. The platform is small enough that your decisions shape it directly, and used broadly enough that they affect every engineering team at Kraken. SKILLS YOU SHOULD HODL - Extensive experience in site reliability, infrastructure or platform engineering, with a track record of owning high-traffic, business-critical services in production - Deep hands-on experience with Kubernetes, a major cloud provider and infrastructure as code such as Terraform - Strong command of SLOs, observability and incident management, and the judgment to know which reliability work actually matters - Proficiency in Rust or Python, and comfort reading and changing a production service's code - Experience with API gateways, reverse proxies or traffic management: load balancing, rate limiting, failover and caching - Experience operating multi-tenant internal platforms, including authentication, authorization and per-tenant cost controls - Staff-level influence: you set direction across teams, write clear design documents and bring other engineers with you NICE TO HAVES - Experience operating LLM gateways or integrating LLM provider APIs at scale: streaming, token-based rate limiting, model routing and caching - Experience serving models yourself, including vLLM or Ray: GPU scheduling, batching, autoscaling and cost per token - Experience building Kubernetes controllers or operators with controller-runtime or kubebuilder - Experience with Consul and Vault for service discovery, configuration and secrets - Experience with model evaluation pipelines for catching quality regressions before and after rollout - Familiarity with coding agents and agent harnesses, and running them safely in sandboxed environments - Experience with cost attribution, budgeting or FinOps for usage-based services - Background in security-sensitive or regulated environments such as financial services or crypto - Contributions to open-source gateway, proxy or observability projects Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on X https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: Brazil; Uruguay; Peru; Colombia; Argentina; Mexico; Chile Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. Kraken's engineers build a lot of software. Developer Platform AI builds the AI systems they use to do it: agents that write and review code, simple access to the best models in the tools they already use, and the infrastructure that connects AI to our internal systems. This is a small team with a lot of reach. The tools you ship will change how engineers across Kraken work every day, and you'll see that happen directly. The work spans agent platforms, code review, LLM routing and cost controls, MCP integrations with tools like Slack, Jira and GitLab, and the security and observability that make all of it safe to run. If you want to work on applied AI with real users from day one, this is that job. THE OPPORTUNITY - Build the platform Kraken's agents run on: dynamic sandboxes, Slack workflows, approval gates, memory, and agents that can take real engineering work from start to finish - Build our code review agent so merge requests get fast, useful feedback, and human reviewers can spend their time on design, risk and judgment - Give engineers access to approved models in Claude Code, Cursor and Codex with no setup, so trying a new model takes seconds - Build the connections between AI and the tools engineers use every day, including Slack, Jira, GitLab and internal APIs - Route LLM requests to the right model for the job, balancing speed, quality and cost - Work with Security to build access control, audit logging, budgets and cost reporting into the platform - Own features end to end, from design through production, and keep them reliable alongside SRE - Stay close to the engineers using what you build, and use their feedback to decide what comes next SKILLS YOU SHOULD HODL - Solid experience building and running backend or platform services in production - Strong skills in Rust, Python, TypeScript or Go, with a habit of writing well-tested, maintainable code - Comfort with Kubernetes, CI/CD, observability and a major cloud provider - Good judgment about reliability, security and operational tradeoffs - The ability to lead a technical design, write it down clearly, and work with teams outside your own - Ownership: you can take something from idea to production and keep it working once it's there NICE TO HAVES - Hands-on experience with LLM APIs: streaming, token accounting, rate limits, provider failure modes - Experience building agent systems, code review or static analysis tooling, sandboxed execution, or developer tools - Experience with API gateways, proxies or traffic management - Familiarity with OAuth, OIDC and role-based access control - Contributions to open-source infrastructure or developer-platform projects Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on X https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: Egypt (Remote) Workplace: Remote ABOUT THE OPPORTUNITY We are looking for experienced Real Estate, Property Management, and Leasing professionals to support a cutting-edge AI benchmarking project focused on the Egyptian real estate and hospitality-adjacent environments. As a Subject Matter Expert, you will create and review realistic, high-quality scenarios that reflect operational, customer service, leasing, sales, property management, and tenant relations challenges across residential, commercial, retail, and mixed-use developments. Your expertise will help ensure AI systems understand and respond accurately within one of Egypt's fastest-growing sectors. WHAT YOU’LL DELIVER - Design realistic Real Estate and Leasing scenarios in Arabic or English grounded in Egyptian operational contexts (e.g., property leasing, tenant communication, concierge services, facility coordination, sales negotiations, community management, rental operations) - Adapt structured evaluation rubrics for customer interaction, operational problem-solving, leasing workflows, and sales support tasks - Review AI and human-generated responses for factual accuracy, service quality, policy compliance, and operational realism - Contribute to “gold standard” solutions reflecting industry best practices across the Egyptian real estate, leasing, and property operations sectors QUALIFICATIONS - Native Arabic with strong professional English proficiency - 5+ years of professional experience in Real Estate, Property Management, Leasing, Hospitality Services, or Community Operations - Background in one or more relevant roles: Property or Community Association Management, Real Estate Brokerage, Real Estate Sales, Leasing Operations, Concierge & Guest Services, Rental Services, Tenant Relations, or Facilities Coordination - Strong understanding of customer service workflows, leasing and sales operations, property management practices, and Egyptian real estate environments WHY COLLABORATE WITH LILT? - Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging. - Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices. - Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate. - Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together. - Grow without limits. As a Lilt contractor you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains. - Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful. What to Consider Before Applying - Not ideal as a full time job or primary income source. Work availability fluctuates with project demand, making this better suited as a supplemental income stream. As a 1099 contractor, you won't receive benefits such as health insurance, paid time off, or retirement contributions, and hours are not guaranteed. - Requires reliable availability and commitment. Once you accept a task, we expect quality work and on-time delivery. Most tasks require a minimum of 2 hours per day or 10 hours per week. If your schedule is unpredictable, this may not be the right fit. - Geographic restrictions may apply. We cannot engage contractors in regions subject to international embargo or sanctions. As a 1099 contractor, you are solely responsible for your own tax obligations. We recommend consulting a tax professional before engaging. HOW TO JOIN OUR EXPERT COMMUNITY Step 1: Apply with the English-language version of your Resume/C.V. highlighting your expertise in the domain. Step 2: Register in Tipalti to ensure a smooth payment process Step 3: Finalize onboarding and join the Production team AI is changing how the world communicates — and LILT is leading that transformation. LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world. Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise. Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy. At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com. LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.

Location: New York City, NY; San Francisco, CA; Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As part of our growing Data Science and Analytics team, you will play an instrumental role in our company's mission of building safe and beneficial artificial intelligence by driving data-informed decision making across our organization. You bring experience from high-bar teams and are eager to help shape the norms and best practices of a growing data science team as Anthropic continues to scale. In this unique company, technology, and moment in history, your work will be critical to informing our strategy as we deploy safe, frontier AI at scale to the world. You'll be the senior data science leader for Model Experience and a strategic thought partner to product, engineering, and research leaders. Working where frontier AI research reaches the public, you'll help shape model roadmap and launch decisions, bringing a point of view on how users experience our models and what good looks like beyond benchmark scores. As a tech lead manager, you'll also hire and manage a team of data scientists, setting their agenda, personally leading the highest-stakes analyses, and raising the bar for how data shapes model and product decisions. Responsibilities: Act as a strategic thought partner to product, engineering, and research leaders, helping shape model roadmap priorities, launch decisions, and the major bets the team makes Set the data science agenda for Model Experience, deciding where the team can have the most impact on model development and launch decisions and what it should deprioritize Hire, manage, and develop a team of data scientists, coaching them to move from answering questions to shaping decisions Frame the most important and ambiguous questions about model quality and user experience, size the opportunities, and make clear recommendations, including when they challenge the current direction Define how Model Experience measures success, establishing the core metrics and measurement frameworks across external products and internal testing that align teams and leadership on what matters Set the standard for experimentation and causal inference across Model Experience, including where launches lack a clean A/B test, and personally lead the highest-stakes analyses Turn complex analyses of model and user behavior into clear narratives and recommendations that drive decisions with senior leadership and cross-functional partners Establish foundational data practices and shape the analytics infrastructure Model Experience needs to support rapid iteration and decision-making as our models and products evolve You may be a good fit if you: Have extensive experience in data science, including leading analytics for a product or research area at significant scale Have 3+ years managing data science teams, including setting team direction, hiring, and developing senior data scientists Have been a trusted partner to senior product, research, and business leaders, with clear examples of changing a roadmap or high-stakes decision Bring strong product sense and business judgment, including the ability to frame the right question and take a position with incomplete information Have deep expertise in experimental design, causal inference, and statistical modeling at high scale, with enough fluency in Python and SQL to stay hands-on and guide others' technical work Communicate clearly in writing and in presentations, including to executive audiences Have a bias for action and thrive in ambiguous, fast-moving environments where you must create clarity and drive progress Care about the company's mission of building helpful, honest, and harmless AI Strong candidates may also have: Experience with AI/ML products, large language models, or developer tools in the AI/ML ecosystem Experience as a tech lead manager or player-coach, balancing hands-on technical work with people management Experience building or scaling a data science team in a fast-growing organization Experience working closely with Product or Research teams, especially on LLM or AI products Comfort working with unstructured data The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $460,000 — $460,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Bangalore; Jaipur; Hyderabad Workplace: OnSite LIFE AT UIPATH The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power. To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose. Could that be you? Your Mission: UiPath is building a new way to design and deliver enterprise processes. UiPath cartographer draws on a curated library of industry process knowledge, interviews the business, and produces process maps and design documents. AI coding agents then turn those designs into working, orchestrated solutions, in days rather than months. In insurance, "almost right" isn't good enough. The best AI companies in regulated industries have learned the same lesson: quality comes from making a senior practitioner part of the team to building the benchmarks, evaluations and feedback loops around their experience and judgment. That's this role. As our Principal Expert for insurance, you will own the quality of everything our AI produces for US insurers. You'll set the bar, build the tests that hold the AI to it, and work in the field with customers and partners to make sure what we ship works in a real carrier. This role does not carry a sales quota and is not a product management role. Success is measured by the quality of the insurance solutions we deliver and how confidently customers build on them. Why this role is exciting: - Your work sets the standard. What you define as good will be used by insurance customers, partners and AI agents across the platform. - You see the impact. Take a process from discovery to a working solution in days, then keep improving it. - You're building something new. Help decide which lines of business we go after next and how we measure the success of AI-designed processes. What you'll do at UiPath: Own insurance AI quality - Own the quality of insurance process knowledge, designs and solutions across Property & Casualty and Life & Annuity. - Decide what needs fixing first, review changes before they go to customers, and sign off when a process is ready. - Work with industry experts, partners and reviewers to maintain and improve quality. Build the insurance benchmark - Build a library of real insurance use cases covering claims, FNOL and triage, total loss, endorsements, life claims, medical records, disability claims and new business NIGO. - Define test cases, scoring criteria and expected answers to evaluate every new AI model and product release before it reaches customers. Turn expert judgment into evaluations - Evaluate AI outputs at every stage, from process knowledge and process maps to design documents and working solutions. - Work with applied scientists and engineers to make sure automated AI evaluations match expert judgment, so we can scale quality checks without relying on manual reviews for everything. Find failures and make sure they get fixed - Review actual outputs, identify common failure types across regulation, coverage, workflows, data and terminology, and prioritise them based on customer impact. - Turn recurring failures into reusable test cases and make sure fixes work before they go live. - Share clear updates on quality, key issues and progress with leadership, product teams and customers. How you'll work: You'll work in a small, senior team of automation consultants, engineers and applied scientists, working directly with customers. - Work with insurance carriers, MGAs and consulting partners to understand how their claims and underwriting teams operate, and test our designs against real processes. - Join consultants and engineers on customer deployments and use what you learn to improve our benchmarks and evaluations. - Run a regular review cycle, roughly every two weeks, to assess outputs, prioritise fixes and track improvements. - Join customer and partner meetings. What you'll bring to the team: - Extensive experience (typically 12+ years) in US insurance, ideally starting hands-on in claims and moving into claims operations senior or mid level roles. - Deep P&C or Life & Annuity knowledge across the lifecycle - Working knowledge of US claims regulation: unfair claims settlement practices, state acknowledgment and payment deadlines, total-loss and salvage rules, and market conduct exams. - Experience mapping or redesigning claims or policy servicing operations: queues, handoffs, SLAs, exceptions, fraud referral and QA. - The confidence to review complex documents quickly, spot what's plausible but wrong, and explain exactly why. Nice to have: - Life & Annuity or disability expertise: contestability, beneficiary determination, unclaimed property, suitability, and underwriting evidence such as medical records. - Experience evaluating AI or automation output: writing test cases, rubrics or reference answers, or running QA or validation programs. - Experience with insurance AI, claims automation or document intake programs. - Comfort with data and light technical work, such as spreadsheets, data analysis or prompting AI tools. - Experience leading or calibrating a team of reviewers, auditors or claims QA specialists. - Commercial lines, workers' compensation, employee benefits or broker/MGA experience. Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned. Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected. We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy https://www.uipath.com/legal/trust-and-security/privacy-policy.