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Location: San Francisco, CA | New York City, NY | 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 Anthropic is seeking Software Engineers to join our Observability team within the Infrastructure organization. The Observability team owns the monitoring and telemetry infrastructure that every engineer and researcher at Anthropic depends on, from metrics and logging pipelines to distributed tracing, profiling, error analytics, alerting, and the dashboards and query interfaces that make it all actionable. By joining this team, you'll have a direct impact on the reliability and operational excellence of Anthropic's research and product systems. As Anthropic scales its infrastructure across large GPU, TPU, and Trainium clusters, the volume and complexity of operational data is growing by orders of magnitude, and an increasing share of the most challenging problems live below the application layer. We're building next-generation observability systems, including high-throughput telemetry pipelines, fleet-wide continuous profiling, eBPF-based tracing and network visibility, and agentic diagnostic tools, so engineers can detect, diagnose, and resolve issues in minutes rather than hours, even when the answer lies in the kernel, the network stack, or an accelerator rather than on a dashboard. Key responsibilities Design and build scalable telemetry ingest and storage pipelines for metrics, logs, traces, and error data across Anthropic's multi-cluster infrastructure Build observability solutions that give engineers deep, low-overhead visibility into system behavior across the fleet Own and evolve core observability platforms, leading migrations and architectural improvements that improve reliability, reduce cost, and scale with organizational growth Build instrumentation libraries, SDKs, and eBPF-based auto-instrumentation to emit high-quality telemetry, with and without code changes Reduce mean time to detection and resolution by building cross-signal correlation (from kernel-level events up to application traces), unified query interfaces, and AI-assisted diagnostic tooling Improve fleet-wide efficiency by turning continuous profiling and utilization telemetry into actionable optimization insights across CPU, memory, and accelerator fleets Partner with Research, Inference, Product, and Infrastructure teams to ensure observability solutions meet the unique needs of each organization Minimum qualifications Experience building and operating large-scale observability or monitoring infrastructure Hands-on experience with observability signals end to end, from instrumentation through ingest to query and analysis Understanding of high-throughput telemetry pipelines and the tradeoffs involved in collecting, storing, and querying operational data at scale Comfort debugging below the application layer, in the kernel, the network stack, or the hardware Excellent communication skills and the ability to partner with internal teams to improve their operational visibility and incident response capabilities Ability to work independently on ambiguous, high-impact technical challenges Preferred qualifications Experience building or operating eBPF-based observability in production, such as tracing, profiling, or network visibility Experience running continuous profiling at fleet scale, including managing overhead budgets and symbolization Kernel- and syscall-level debugging experience and performance engineering skills Experience profiling or instrumenting accelerator workloads Experience operating metrics systems at very high cardinality, or large-scale telemetry storage backends Experience with log storage migrations or operating columnar databases (e.g., ClickHouse, BigQuery) for analytics workloads Experience with OpenTelemetry instrumentation, collector pipelines, and tail-based sampling strategies Interest in applying AI/LLMs to operational workflows such as automated root cause analysis, anomaly detection, or intelligent alerting Enthusiasm for building foundational infrastructure 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: $320,000 — $485,000 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: San Jose, California, United States Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. About the Opportunity We are seeking a Principal Engineer with a deep expertise in autonomous AI agent architecture and deployment, to spearhead the design, development, and optimization of intelligent agent systems on our global crypto exchange platform. This is a senior role requiring a hands-on AI science background combined with strategic oversight, technical direction, and cross-functional collaboration. You will work at the cutting edge of AI and crypto, designing AI agents that can autonomously reason, act, and evolve in complex, real-time environments such as trading, security, compliance, and customer interaction. What You’ll Be Doing Lead the design, development, and lifecycle management of autonomous AI agents tailored to crypto exchange operations (e.g., customer assistant, trading bots, risk detection agents, fraud prevention agents, etc.). Architect multi-agent systems (MAS) and frameworks to support goal-directed, reasoning, planning, and reinforcement-learning-based agents. Collaborate with product, engineering, business, and operation teams to define agent roles and measurable KPIs. Drive experimentation, simulations, and continuous learning pipelines for agent performance optimization. Stay ahead of the curve on developments in AGI, LLM-integrated agents, and cognitive architectures; apply relevant innovations to production systems. Mentor and lead a team of AI scientists and engineers; help define the AI roadmap and research strategy. Ensure system scalability, security, and regulatory compliance of AI-powered solutions in the crypto exchange domain. What We Look For In You 10+ years of industry experience in a relevant field, or an equivalent combination of advanced degree (PhD/Master's in Computer Science, AI, Machine Learning, Robotics, or related field) and industry experience. Proven experience building and deploying autonomous AI agents in live environments. Ideal candidates will have: Designed multi-agent frameworks or agent ecosystems (e.g., AutoGPT, OpenAgents, LangGraph, LangFuse, Dify, Coze, etc.). Experience with goal-oriented agents, context engineering, memory management, tool use, and RL-based decision making. Developed agents for real-time decision-making, such as trading, gaming, customer support, or operations. Track record of delivering end-to-end AI systems in fast-paced, high-scale environments (preferably finance, crypto, or high-frequency domains). Nice to Haves Experience in top-tier AI labs or Tech industry leaders Experience in high-frequency trading, fintech, Web3, or crypto platforms is a strong advantage Startups or research-intensive environments preferred; must be comfortable operating with ambiguity and speed OKX Statement The salary range for this position is $250,444.00 to $375,666.00 . The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via Okcoin and OKX internal or external careers site. OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. #LI-HYBRID#LI-HYBRID #LI-ED1 Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Hong Kong, Hong Kong SAR; Singapore, Singapore About the Role We are looking for a highly capable Senior Strategy PMO / Project Manager to join our CEO Office / Intelligence & Performance (IP) team . This role goes beyond traditional project management — you will operate at the intersection of strategy, execution, and organizational scaling , partnering closely with senior leadership to drive high-impact, cross-functional initiatives spanning growth, platform risk, and trading product experience . This is a high-exposure, high-intensity role suited for candidates who are genuinely hungry to build something meaningful — comfortable navigating ambiguity, complexity, and executive-level expectations, and willing to fight for outcomes rather than just manage process. Responsibilities Drive end-to-end planning and execution of company-level strategic initiatives, spanning growth, platform risk, trading product experience , and organizational transformation. Own the health and evolution of core trading/platform experience — identifying friction points across the user trading journey and driving cross-functional fixes at the root-cause level, not surface patches. Partner with senior leadership to translate high-level strategy into executable roadmaps and delivery mechanisms. Establish and continuously refine project governance frameworks to improve execution efficiency, visibility, and accountability across teams. Identify cross-team bottlenecks and systemic risk/inefficiency, and drive structural solutions rather than one-off fixes. Lead high-complexity, cross-functional programs (e.g., growth platforms, platform risk controls, trading systems, or platform-level transformations). Support and accelerate company-wide AI transformation initiatives, including: Driving AI adoption across product and operational workflows Coordinating cross-functional AI pilots and scaling best practices Building execution frameworks for AI-enabled delivery models Provide clear executive-level updates on progress, risks, and trade-offs, enabling fast and informed decision-making. Act as a force multiplier for leadership by driving alignment, execution clarity, and organizational velocity. Requirements 5–10 years of experience in strategy PMO, program management, or high-impact project/product delivery roles. Genuinely aggressive and entrepreneurial — someone who wants to build something real, is willing to grind through ambiguity, and treats this as a mission rather than a job. Strong independent thinking and critical reasoning — able to question assumptions, challenge existing frameworks constructively, and form your own point of view rather than just execute. Strong data analysis capability — comfortable working with SQL/data queries and dashboards independently, able to translate ambiguous business questions into structured analysis and defend conclusions with data, not just process narrative. Strong experience driving complex, cross-functional initiatives in fast-paced environments such as: Top-tier management consulting firms Top-tier internet companies (ToC product management background welcome) Global investment banks Fintech, trading, or platform-heavy organizations Proven track record of delivering technically or operationally complex programs (e.g., growth platforms, trading systems, platform risk controls, user safety/experience, infra-heavy initiatives). Strong systems thinking — able to identify root causes and design scalable solutions. Excellent execution skills with a strong bias toward action and outcomes. Strong communication and stakeholder management skills, including experience working with senior executives. High ownership mindset with the ability to operate independently in ambiguous environments. Preferred Qualifications Background in technically or commercially intensive domains such as: Growth / user acquisition platforms Platform risk control systems Trading infrastructure or trading product experience Prior experience as a ToC product manager at a leading internet company, or as a strategy/management consultant at a top-tier firm, or in investment banking (M&A, coverage, or strategy roles). Experience in crypto, fintech, or global-scale consumer platforms. Experience driving AI adoption in product, engineering, QA, or operational workflows. Bilingual (English + Mandarin) to collaborate effectively across global teams. Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Boston, MA; New York City, NY; San Francisco, CA 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 the Sales Manager for Life Sciences at Anthropic, you’ll lead the foundational team introducing our frontier AI platform to the medtech ecosystem, spanning medical device, diagnostics, and digital health manufacturers. You’ll build and develop a team of Strategic Account Executives who drive adoption of safe, frontier AI by securing strategic deals with large medical device companies, diagnostics providers, and emerging medtech innovators. You’ll bring deep domain fluency in how medical devices are designed, validated, cleared or approved, manufactured, and monitored in the field to coach your team’s consultative sales approach, while becoming a trusted advisor yourself to senior medtech stakeholders, helping them embed and deploy AI across the product lifecycle from design and development through post-market surveillance. In collaboration with Product and Marketing, you’ll continuously refine the team’s value proposition, sales methodology, and market positioning to resonate with decision-makers across each medtech sub-segment. The ideal candidate has a passion for developing new market segments within medtech, pinpointing high-potential opportunities across engineering, regulatory, quality, manufacturing, clinical, and commercial functions, and building a team that can execute strategies to capture them. By driving deployment of Anthropic’s emerging products across medtech organizations, you’ll help them bring safer, better devices to patients faster while advancing the ethical development of AI. Key responsibilities Build and lead a specialized team of Strategic Account Executives covering medical device, diagnostics, and digital health accounts, setting growth targets by sub-segment and coaching reps through the full sales cycle from outbound to close Design and oversee sales strategies tailored to the distinct procurement cycles of medtech, including product development and engineering budgets, quality and regulatory compliance investment, manufacturing and supply chain programs, commercial and field organization budgets, and enterprise IT and digital transformation programs, translating market and trend analysis into account plans and campaigns that meet and exceed team revenue targets Identify and prioritize high-potential opportunities across product design and development, design controls and verification and validation, regulatory affairs and submissions, quality management and CAPA, manufacturing and supply chain, clinical evidence generation, complaint handling and post-market surveillance, and commercial and reimbursement functions, partnering cross-functionally to differentiate Anthropic’s offering for medtech use cases Run a disciplined pipeline and forecasting cadence across the team, managing an evolving sales process to deliver predictable, coachable performance against quota Serve as Anthropic’s domain expert across the medtech value chain, including device design and development, software as a medical device, regulatory submissions (510(k), PMA, De Novo, EU MDR), quality systems, manufacturing, post-market surveillance and vigilance reporting, and commercial launch, and translate that expertise into repeatable playbooks, frameworks, and go-to-market strategies your team and the broader field organization can scale Partner directly with C-suite and senior functional leaders (CEOs, CTOs, CIOs, Chief Quality Officers, CMOs, CCOs, and Heads of R&D, Engineering, and Regulatory Affairs) across medtech organizations to design multi-year AI transformation roadmaps and build long-term trusted advisor relationships Partner closely with Product and Applied AI to translate feedback from design engineers, regulatory and quality professionals, manufacturing teams, clinical affairs, and commercial teams into product and roadmap input, strengthening Anthropic’s value proposition across the segment Build strategic relationships with medtech-focused system integrators, technology vendors (including QMS, PLM, and ERP providers), contract manufacturers, and industry organizations to scale go-to-market capabilities Establish Anthropic’s position as the AI partner of choice across medtech through conference presentations, white papers, case studies, and participation in industry forums Codify learnings into playbooks, templates, and best practices, partnering with Marketing and Enablement to scale winning use cases and proof points across medtech accounts Minimum qualifications 10+ years of experience in life sciences, with at least 5 years specifically selling into or working within medical device, diagnostics, or medtech organizations (R&D, engineering, regulatory, quality, manufacturing, or commercial functions, or related consulting) Experience in leadership roles managing or coaching enterprise sales teams, with a track record of driving measurable revenue outcomes in medtech or adjacent life sciences settings Deep understanding of medtech business models, operations, and economics, including the device product lifecycle, the regulatory environment (FDA 21 CFR Part 820 and QMSR, ISO 13485, EU MDR, IEC 62304, 21 CFR Part 11), and competitive dynamics A track record of managing or overseeing complex, multi-stakeholder sales cycles within medtech organizations, securing strategic deals by understanding both technical requirements and engineering, regulatory, quality, and commercial use cases Proven experience exceeding revenue targets by effectively managing a team’s pipeline and an evolving sales process Excellent communication skills, with the ability to present confidently across medtech audiences, from design engineers and quality and regulatory leaders to C-suite executives A genuine interest in deploying AI responsibly and motivation to advance Anthropic’s mission of building safe, beneficial AI Preferred qualifications Deep understanding of buying cycles, decision-making processes, and key pain points across multiple medtech sub-segments (e.g., large device manufacturers, diagnostics, digital health and SaMD) and across functions (engineering, regulatory, quality, manufacturing, commercial) A strategic, analytical approach to assessing the medtech market, paired with creative, tactical execution to capture opportunities and a willingness to roll up sleeves on deals alongside the team Experience developing and refining AI use cases in collaboration with customers and channel partners, spanning design and development, regulatory and quality documentation, manufacturing, post-market surveillance, or commercial functions Experience building or scaling a specialized sales team from an early stage Passion for and/or experience with advanced AI systems and their applications in medical devices and diagnostics, with strong conviction around safe, ethical development of AI in these contexts 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: $450,000 — $700,000 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: Tokyo, Japan 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: We are hiring our first Tokyo-based Product Support Specialists, who will grow our global presence as a team and serve as champions of our unique support brand. You’ll be at the front lines of safely delivering AI to the world by responding to, investigating, and tracking user needs in your day to day. Additionally, you’ll help us identify – and close – gaps in our team’s technical knowledge, provide high-touch support to strategic customers, and demonstrate deep care for how we systematically support customers at scale. This role requires native-level Japanese and business-level English proficiency, as candidates will support both Japanese-speaking customers and those across APAC/ANZ in English. Note: Specialists in Tokyo will work 10am - 6pm, Monday to Friday. Responsibilities: Become an expert in all Anthropic products Respond to user support cases, in English and Japanese, with a variety of complexity, from simple billing or account questions for individuals to complex API debugging for large businesses Clearly and empathetically communicate with a wide range of user personas, context-switching between guiding executives in a high-touch model to assisting consumer users in a rapid pace Manage on-call tasks for high-urgency user issues with extreme ownership. This includes being on critical ‘pager duty’ during APAC hours to ensure 24/7 Support for Critical Queries. Prioritize critically and comfortably adapt to an ever-evolving product landscape Operate in ambiguity, making informed decisions even in never-before-seen situations Partner with engineers, teammates, and other internal stakeholders to diagnose and resolve user issues, both individually and at scale Suggest and drive improvements to increase user satisfaction through support processes as well as own initiatives that increase efficiency and drive down contact rates Uplevel our team’s technical knowledge by scoping gaps, working with cross-functional partners to deeply understand relevant nuances, and building resources that grow with our products You may be a good fit if you: Have experience in providing technical product support, in both English and Japanese, within a second tier, escalated, or priority support team. Are familiar with APIs and technical SaaS products and can deeply understand technical docs with ease Have demonstrated an ability to thrive in fast-paced, reactive situations while meeting core support metrics targets (e.g. CSAT, SLA, etc.) Possess strong user empathy and are expert in the lifecycle of a support case; you can read between the lines of a user’s question, put yourself in their shoes, and get at the heart of their needs for a speedy, satisfying resolution Have crisp but kind written communication skills and a deep care for the details Enjoy helping others learn about new features and complex concepts Are persistent and curious; you delight in the hunt of tracking down a bug or issue, and are energized by fixing this for all similar users going forward Have experience contributing to the foundations of a support team – this is essential, highly valuable, but often unglamorous work. And particularly key for this role due to it being among the first Support hires in APAC. Are proficient at working in a technical environment and are interested in Anthropic’s products Possess a deep sense of ownership, and are excited to help us build our team! 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: Salt Lake City, Utah Workplace: onsite Filevine is a Legal AI company delivering Legal Operating Intelligence for the future of legal work. Grounded in a singular system of truth, Filevine brings together data, documents, workflows, and teams into one unified platform—where modern legal work happens with clarity and consistency.   Powered by LOIS, the Legal Operating Intelligence System, Filevine connects context across every matter to transform legal operations from reactive to proactive. LOIS reads, understands, and reasons across your data to surface insight, automate complexity, and give professionals the clarity and confidence to see more, know more, and do more. Fueled by a team of exceptional collaborators and innovators, Filevine’s rapid growth has earned AI awards and recognition from Deloitte and Inc. as one of the most innovative and fastest-growing technology companies in the country. As a Legal Solutions Engineer you will be joining the team that is responsible for assisting Account Executives (AE) in presenting complex SaaS products to law firms and corporations by understanding the prospects' needs and presenting a compelling storytelling demonstration of Filevine. You are the technical expert who can both explain difficult concepts with simplicity to non-technical people as well as articulate the details to a more technical audience. With constantly evolving products you must have the curiosity and ability to quickly gain a deep understanding of the latest offerings, how they work, and the value they add. Overall, we are seeking an extremely driven and confident individual that can bring about great results within our organization. Responsibilities: Assist AEs in positioning Filevine to clients seeking case management, AI, and contract management solutions particularly in the legal and corporate verticals. Prepare and deliver dynamic storytelling demonstrations of products. Take a consultative approach in working with prospective clients or current clients Interact with prospects and customers alongside sales reps to assess needs and to determine requirements. Continually improve your understanding of the intricacies of the Filevine offerings. Help in researching and developing solutions within the Filevine suite to solve customer needs. Qualifications: A curious mind that wants to know how it works and why it works; the type of person who can’t help but push a button to find out what happens when you do. Strong interpersonal skills are required for both building a relationship with clients and effectively communicating with others on the sales team. Problem-solving skills so you can listen to the customers’ desires and concerns, and then recommend solutions on the fly. Adaptable to sudden changes whether they be in a customer conversation or overall in business strategy. A confident and persuasive storyteller that speaks dynamically using pacing, emphasis, tone, etc. to capture and hold an audience’s attention. Legal software admin experience is a plus but not necessary. In office position In addition to the qualifications listed above, we expect that our team members have the following: Proven ability to maintain focus, productivity, and composure in high-stress, fast-paced in-person environments. Must be able to work in office 5 days a week in our Sugarhouse, UT location Highly adaptable to working in open-office layouts while staying focused and respectful of colleagues. Skilled at handling high-priority Zoom calls with upset customers on short notice, using empathy and composure to resolve complex issues. Work Location Expectation: Most roles for candidates in or near these metro areas (San Francisco, Salt Lake City, Chicago, or New York) are fully onsite. Some roles offer a hybrid schedule of 2–3 days in-office per week     Cool Company Benefits: - A dynamic, rapidly growing company, focused on helping organizations thrive  - Medical, Dental, & Vision Insurance (for full-time employees) - Competitive & Fair Pay - Maternity & paternity leave (for full-time employees) - Short & long-term disability - Opportunity to learn from a dedicated leadership team - Top-of-the-line company swag   Privacy Policy Notice Filevine will handle your personal information according to what’s outlined in our Privacy Policy.   Communication about this opportunity, or any open role at Filevine, will only come from representatives with email addresses using "filevine.com". Other addresses reaching out are not affiliated with Filevine and should not be responded to.

Location: Washington, District of Columbia, United States Opportunity Brunswick Group is seeking a Director to join our Insight team, focused on evaluating the effectiveness of integrated communications campaigns and communications activity. Based in New York or Washington, D.C., this role will play a central part in how Brunswick defines, measures, and learns from communications activity performance, combining campaign data, primary research, and strategic judgment to inform client decision-making. You will drive the design and delivery of evaluation frameworks and research that assess not only what happened, but why it mattered and what should change next. Working in close partnership with Brunswick’s Creative, Digital and wider Communications colleagues, you will help shape measurement approaches for paid and organic activity across both established and emerging channels, including podcasts, TikTok, LinkedIn, and creator-led platforms. The role also requires active and responsible use of AI tools and large language models (LLMs) to enhance analysis, synthesis, and insight generation. About Brunswick Insight At Brunswick Insight, we support all phases of client engagement, from proposal through final deliverable. We provide the research, data, and analysis that form the strategic foundation of Brunswick’s advice. Our work helps clients understand stakeholder response, reputational impact, and the effectiveness of their communications in complex environments. As part of the Insight team, you will help strengthen and evolve Brunswick’s campaign and communications evaluation offer, ensuring our clients benefit from integrated, defensible, and decision-oriented measurement that informs creative strategy, media investment, and future communications choices. About the Role Lead the evaluation of integrated communications campaigns, from defining objectives and success measures through post-campaign learning Establish measurement frameworks that align campaign activity with delivering companies’ strategic and reputational goals Work closely with Creative, Digital and wider Communications colleagues to align evaluation with campaign strategy, messaging, audience targeting, and paid media objectives Design and conduct primary research (quantitative or qualitative work) to assess awareness, understanding, credibility, and message impact Design and conduct media and social media analysis to assess engagement, message penetration and differentiation Integrate research findings across bespoke and wider data sources to provide a coherent view of campaign effectiveness Use AI tools and LLM-based techniques to analyze large-scale data, while applying appropriate governance and quality controls Apply test-and-learn and experimental approaches where appropriate, and advise on what can and cannot be credibly inferred from the data Present metrics and frameworks in a visual and easily consumable format Translate complex, mixed-method evidence into clear, actionable insight and strategic recommendations Develop benchmarks and context to help clients understand performance over time and across campaigns Support new business development by shaping proposals and articulating Brunswick’s approach to campaign evaluation Mentor and develop junior colleagues, providing coaching on research design, analytical rigor, and insight storytelling Collaborate with Insight colleagues globally to share methodologies, tools, and best practices What We're Looking For Knowledge, Skills, and Abilities An experienced campaign evaluation, measurement, or insight professional with a strong grounding in integrated communications Comfortable operating at the intersection of research, analytics, creative strategy, and digital activation Able to design and conduct evaluation approaches that combine primary research, campaign performance data, and qualitative insight Fluent in the modern media ecosystem, including traditional news, social platforms, paid digital channels, podcasts, TikTok, LinkedIn, and emerging creator-led formats Confident exercising judgment around measurement trade-offs, attribution limits, and data quality Able to present frameworks and metrics in a visually compelling way A clear and persuasive communicator, able to explain methodology, AI-assisted analysis, and implications to senior, non-technical audiences Experienced in agency or consultancy environments where speed, rigor, and practicality must be balanced Curious and forward-looking, with an interest in experimentation, test-and-learn approaches, and innovation in measurement Collaborative, perceptive, and comfortable managing relationships across disciplines, offices, and seniority levels Discreet and trusted, with strong judgment when handling confidential client matters Ideal Candidate 8+ years of experience in campaign evaluation, communications measurement, insight, or opinion research, ideally within an agency or consultancy Demonstrated experience of conducting primary and secondary research, and integrating this with wider campaign performance data Strong understanding of earned, owned, paid, and shared media, including paid digital and emerging formats Experience working alongside creative, digital, or media teams to evaluate campaign effectiveness Familiarity with analytics and listening platforms such as Brandwatch, Meltwater, Talkwalker, Quid, Tubular, Podchaser or comparable tools Practical experience using AI tools and large language models in research or analysis workflows, with sound judgment around their limitations Strong analytical and strategic skills, with the ability to connect evidence to reputational, stakeholder, and business outcomes Excellent writing and presentation skills, with a track record of synthesizing complex information into clear narratives Client management experience, including contributing to proposals, pitches, and evaluation-led recommendations Advanced project management skills, with experience leading complex, time-sensitive workstreams Advanced proficiency in PowerPoint; familiarity with additional analytical tools or languages (e.g., Python, R, Tableau) is an advantage Why Join Us Whether you are joining a client facing team, a core services team, or starting out on your professional career journey, joining Brunswick unlocks a range of exceptional employee benefits to support your financial future, health and wellness, family and community and continuous professional development. The successful applicant will be eligible for the following compensation and benefits package: Base Pay: The annual base compensation range for this role is $190,000 - $240,000. The base pay offered will be determined by factors including experience, skills, training, office location, certifications, and education. Bonus Eligibility: Annual discretionary bonus contingent upon individual and firm-wide performance. Benefits: Medical, Dental, and Vision insurance. Disability insurance. Employee assistance program. Flexible spending account. Health savings account. Life insurance. Commuter Benefits. Generous Paid Time Off: 25 vacation days and 10 days sick leave, as well as 11 paid company holidays. Firm-sponsored 401(k) Plan with 3% automatic company contribution of base and bonus with an additional 1.5% profit share– immediate vesting. Career training and development opportunities. Employee discounts. Office Policy: At Brunswick, our work is a craft that thrives in teaching environments – whether in our offices or on-site with clients – through real-time observation, collaboration, human connection, clear guidance and by challenging one another to keep getting better. Our policy is that our team members are in person – either in the office or on-site with clients – at least four days each week. The firm will provide reasonable accommodation to qualified applicants or employees, as defined by applicable law. In addition to the application, the process may include virtual and in-person interviews, as well as an assessment, which may be timed. To request an accommodation during our application and hiring process, email americasaccommodations@brunswickgroup.com . About Brunswick Brunswick is a global advisory firm. We help companies tackle high-stakes issues, navigate complex stakeholder relationships, and deliver high-impact outcomes. Our clients value our ability to anticipate, shape, and respond to the key players and forces in the financial and investment arena, regulatory and geopolitical universe, NGO community, workforce and beyond. They rely on us for deep experience, fresh perspectives and original thinking. So, in Brunswick you will find an exceptional range of experience and talent with a rich mix of backgrounds. From the beginning, we have prioritized attracting, developing, and retaining the best professionals in the industry, united by a culture of inclusivity, excellence, and intellectual curiosity. Founded in 1987 in London, the firm has organically grown to 27 offices in 18 countries across the Americas, Europe, Middle East, Africa, Asia and Australia. We operate as a “one-firm firm” with no individual profit centers. This allows us to assemble fully integrated, bespoke teams for each client, able to draw on the full resources of Brunswick anywhere in the world. Brunswick is an equal opportunity employer.  All qualified applicants will be considered without regard to race, religion, color, national origin, gender, sexual orientation, age, disability, pregnancy, genetic information, or any other status protected by applicable law. Please read our Global Privacy Notice to understand how your data is managed.

Location: San Francisco, CA | New York City, NY | 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 a Technical Program Manager on the Compute team, you will help drive the planning, coordination, and execution of programs that keep Anthropic's compute infrastructure running efficiently at scale. Our compute fleet is the foundation on which every model training run, evaluation, and inference workload depends. You'll join a small, high-impact TPM team and take ownership of critical workstreams across the compute lifecycle, from how supply is procured and brought online, to how capacity is allocated and utilized across teams. The exact focus will depend on your strengths and the team's evolving needs. You'll partner with Infrastructure, Systems, Research, Finance, and Capacity Engineering to shape the processes, tooling, and coordination mechanisms that allow Anthropic to move fast while managing an increasingly complex compute environment. Responsibilities: Own and drive critical programs across the compute lifecycle, coordinating execution across multiple engineering, research, and operations teams Build and maintain operational visibility into the compute fleet, ensuring the organization has a clear picture of supply, demand, utilization, and health Lead cross-functional coordination for compute transitions: bringing new capacity online, migrating workloads, and managing decommissions across cloud providers and hardware platforms Partner with engineering and research leadership to navigate competing priorities and drive alignment on how compute resources are planned, allocated, and used Identify and close operational gaps across the compute pipeline, whether through new tooling, improved processes, or better cross-team communication Own trade-off discussions between utilization, cost, latency, and reliability, synthesizing inputs from technical and business stakeholders and communicating decisions to leadership Develop and improve the processes and frameworks the team uses to plan, track, and execute compute programs at increasing scale and complexity You may be a good fit if you: Have 7+ years of technical program management experience in infrastructure, platform engineering, or compute-intensive environments Have led complex, cross-functional programs involving multiple engineering teams with competing priorities and ambiguous requirements Have experience working with research or ML teams and translating their needs into operational plans and technical requirements Are comfortable diving deep into technical details (cloud infrastructure, cluster management, job scheduling, resource orchestration) while maintaining program-level visibility Thrive in ambiguous, fast-moving environments where you need to define scope and build processes from the ground up Have strong communication skills and can engage credibly with engineers, researchers, finance, and executive leadership Have a track record of building trust with engineering teams and driving changes through influence rather than authority Strong candidates may also have: Experience managing compute capacity across multiple cloud providers (AWS, GCP, Azure) or hybrid cloud/on-premises environments Familiarity with job scheduling, resource orchestration, or workload management systems (Kubernetes, Slurm, Borg, YARN, or custom schedulers) Experience with GPU or accelerator infrastructure, including the unique challenges of large-scale ML training and inference workloads Built or improved observability for infrastructure systems: dashboards, alerting, efficiency metrics, or cost attribution Capacity planning experience including demand forecasting, cost modeling, or hardware lifecycle management Scaled through hypergrowth in AI/ML, HPC, or large-scale cloud environments Deadline to Apply: None, applications will be received on a rolling basis. 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: $290,000 — $365,000 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: New York The Role We are looking for a Senior Engineer, Platform/SRE to join our growing engineering team. As an early member of the team, you will also have a lot of impact on our team culture, processes and norms. We’re an encouraging environment that values both teamwork and autonomy. We have many exciting upcoming challenges in supporting an exponentially scaling platform with new product launches, and much more! Responsibilities - Primary engineer driving best practices and improved adoption of observability tools, especially Datadog - Optimize Taptap’s deployment methodologies using Github Actions and AWS ECS - Drive maturation of Taptap Send service management through adoption of SRE best Practices - Contribute to Taptap Send infrastructure as code projects, especially in Terraform - Work with other engineering teams to assure optimal operation of Taptap Send’s systems including responding to large-scale incidents Requirements - Deep knowledge and hands-on experience with infrastructure as code tools like Terraform, Cloudformation and Ansible - Familiarity with industry leading CI/CD tools including Jenkins, GitHub Actions, BitBucket Pipelines, CircleCI, BuildKite, etc. - Experience with hands-on software engineering as part of a larger team or project (open-source experience acceptable) - Experience scripting in Python - Hands-on experience with Docker and container schedulers including AWS ECS & EKS, Kubernetes, Mesos/Marathon, etc. - Hands-on cloud experience, especially in AWS. AWS certification preferred. - Degree in Computer Science, IT, or similar field; a Master’s is a plus or seven years' equivalent experience About Us   We’re building the world’s leading cross-border fintech for emerging markets - empowering families, fuelling local economies, and changing how millions access financial services.   Since our launch in 2019, we have transformed how money moves across borders with our operations spanning 6 out of 7 continents and covering both the busiest and most underserved (remittance) corridors. We tapped into a massive shift - from banks to phones - bringing digital finance to places where traditional systems never reached. The next stage of growth will fuel a network of services and products especially designed to make money more accessible to diaspora communities including local cards, and additional savings and payments features.   We’re growing fast, backed by world-class investors, and scaling a product that blends real world impact with cutting edge fintech innovation.   Here’s a little more: - Founded by Harvard grads and 3-time founders who previously built Segovia (acquired) and GiveDirectly (>$300M revenue, fastest-growing NGO in the world) - Backed by top investors including Spark Capital, Canaan, Reid Hoffman, Breyer Capital, Unbound, Wamda, and more - Built by global top performers from Bain, Google, McKinsey, Uber, Checkout, Bolt, and beyond - we move fast, stay humble, and care deeply about our mission - Truly global team - 250+ people, 50+ nationalities, 50+ languages - Guided by our values - ownership, impact, humility, and heart - in deed, not just word   TAPTAP VALUES https://www.taptapsend.com/our-values Impact first Team next Accept reality Propose solutions Win with grit Be proactively candid, with yourself and others Love the particular Own it Create positive energy Maybe, even have fun   Taptap Send is an equal opportunity employer dedicated to building an inclusive and diverse workforce. All employment decisions are decided on the basis of qualifications, experience and business need. We strongly encourage applications who are members of underrepresented communities to apply. If you require reasonable adjustments to be made during the recruitment process, please do not hesitate to let us know. Any information you provide us in this respect will only be used to accommodate your requirements. Note: we recognize imposter syndrome is real - any candidate that does not perfectly fit every characteristic of this role is still strongly encouraged to apply.

Location: Hong Kong, Hong Kong SAR; Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity We are seeking an AI Infrastructure Engineer to design and build the foundational systems that power next-generation AI agents. This role sits at the intersection of research and production engineering, focusing on scalable long-term memory , knowledge graph infrastructure , and robust context management systems . You will transform cutting-edge research concepts (e.g., Context Graphs, GraphRAG, agent memory architectures) into auditable, maintainable, and production-grade infrastructure that enables reliable, stateful AI systems. What You’ll Be Doing Architect and implement long-term memory infrastructure for AI agents , including auditable, versioned, and rollback-capable middleware that supports persistent, stateful reasoning. Design and own end-to-end GraphRAG and knowledge graph pipelines , from ingestion and schema design to graph indexing, retrieval optimization, and integration with LLM-based reasoning systems. Build scalable context management infrastructure , elevating context from prompt-level techniques to structured, maintainable systems such as Context Graphs that enable long-horizon and cross-session reasoning. Translate advanced agent research into production-grade systems , prototyping emerging architectures and establishing best practices for memory, retrieval, and infrastructure reliability. Ensure reliability, observability, and governance of agent infrastructure , including traceable memory operations, evaluation frameworks, and safeguards against drift and degradation. What We Look For In You PhD or Master's in Computer Science, AI, Machine Learning, Robotics or related field with at least 10 years of industry experience . Possess a deep expertise in at least one of the following areas: long-term memory , knowledge graphs , or context management . Nice to Haves Experience in top-tier AI labs or Tech industry leaders Experience in high-frequency trading, fintech, Web3, or crypto platforms is a strong advantage Startups or research-intensive environments preferred; must be comfortable operating with ambiguity and speed Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Kuala Lumpur Workplace: onsite ABOUT YOU We are looking for a Finance Operations Intern who is analytical, detail-oriented, and reliable to join our Finance team. The ideal candidate is someone who enjoys working with financial data, investigating discrepancies, and ensuring accuracy and consistency across financial records. You will thrive in a structured, collaborative environment where you can apply your academic knowledge to real-world financial operations and learn how an international business manages its financial processes. Strong analytical thinking, attention to detail, and a methodical approach to problem-solving are essential, along with a willingness to work with reconciliations, accounts payable balances, financial reports, and operational documentation. The ability to take ownership of assigned tasks, meet deadlines, learn new tools and processes, and approach routine work with care and consistency will be key to your success in this role. If you’re passionate about finance, working with numbers, solving problems, and continuously learning, and you’re looking to build a strong foundation for a career in Financial Operations, we would love to hear from you!   ABOUT US   Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.   For more information, visit xsolla.com. RESPONSIBILITIES Perform financial reconciliations with partners following established procedures and guidelines. Review completed reconciliations to check the accuracy and completeness of results. Assist with analyzing outstanding accounts payable (AP) balances and reviewing AP alerts to identify discrepancies and items requiring further investigation. Audit financial documentation in Box to check report availability, completeness, and compliance with established procedures. Review financial reports and supporting documentation for accuracy, completeness, and consistency. Assist with reviewing and updating accounts payable and accounts receivable workflows and process documentation. Maintain and update Finance Operations documentation and procedures in Confluence. Document reconciliation procedures, key learnings, identified discrepancies, and potential process improvements. Support the team with recurring financial operations tasks and other operational activities as required. QUALIFICATIONS Education: Currently in the final year of a university degree or recently graduated in Finance, Accounting, Economics, or a closely related field. Academic Performance: Minimum CGPA of 3.5 for candidates without relevant work experience, or 3.3 for candidates with relevant work experience. English Proficiency: Strong English communication skills (minimum B2). CVs and cover letters must be submitted in English. Analytical Skills: Basic understanding of financial and accounting concepts, with the ability to analyze information, identify inconsistencies, and draw logical conclusions. Attention to Detail: Careful and methodical approach to working with numbers, financial records, and documentation. Technical Skills: Basic proficiency in Microsoft Excel or Google Sheets. Familiarity with formulas, filters, and data organization is an advantage. Problem-Solving: Willingness to investigate discrepancies, ask questions, and learn how to resolve unfamiliar issues. Responsibility and Organization: Ability to manage assigned tasks, follow established procedures, meet deadlines, and maintain accurate records. Learning Mindset: Motivation to develop practical skills in financial operations, learn new tools and systems, and respond constructively to feedback. Working Style: Comfortable performing recurring operational tasks independently after training, while knowing when to seek guidance or escalate issues. Availability: Available for an on-site internship in Kuala Lumpur. BENEFITS: Convenient work tools Google Chat, Gmail, Google Drive, Confluence Professional growth Rich knowledge exchange within the company More perks No dress code Comfortable and new office environment  PHYSICAL DEMANDS The physical demands for this position are sits, stands, bends, lifts, and moves intermittently during working hours. These physical requirements may be accomplished with or without reasonable accommodations.  The duties of this position may change from time to time so the individual and organization can achieve their results. This job description is intended to describe the general level of work being performed. It is not intended to be all-inclusive. Xsolla KL Sdn Bhd takes your privacy very seriously, and will not sell or externally distribute any data received during the hiring process. Pursuant to the Personal Data Protection Act 2010 (“PDPA”), Xsolla KL Sdn Bhd is mindful and committed to the protection of your personal information and your privacy. Please direct any inquiries regarding your data privacy to careers@xsolla.com. For more vacancies: https://xsolla.com/careers/vacancies

Location: Toronto Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs. WHAT YOU’LL DO - Design and deliver production-grade AI agents https://sierra.ai/blog/meet-the-ai-agent-engineer: You'll build and ship highly performant, reliable, and intuitive AI agents that are central, mission-critical and drive revenue directly to Sierra's growth. These aren't prototypes—they are powerful, scalable systems running in production environments across industries like finance, healthcare, and commerce. - Drive the Agent Development Life Cycle https://sierra.ai/blog/agent-development-life-cycle (ADLC): You'll have complete ownership and autonomy from initial pilot through deployment and continuous iteration. You'll be responsible for building, tuning, and evolving AI agents in production environments, defining the standard for ADLC best practices along the way. - Partner with large enterprises and cutting-edge startups: You’ll work directly with leaders at some of the world’s largest enterprises to understand their most pressing business challenges, and build AI agents that transform how they operate at scale. You'll also partner with the most cutting-edge startups in Silicon Valley, embedding AI agents across their entire business stack to drive innovation and efficiency. - Build the future of the platform: Your direct work with customers will guide the evolution of Sierra's core platform. You'll surface unmet needs, prototype new tools and features, and collaborate with research, product, and platform to shape the future of AI agent development and Sierra's product. EXAMPLE PROJECTS These are some examples of projects that engineers on our team have worked on recently: - Design and build AI agents for large telecommunications and media companies that consistently outperform human agents in managing subscription churn - Develop and refine AI agents capable of navigating complex customer interactions, like troubleshooting a broken device and personalizing product recommendations - Create generalizable AI agent frameworks tailored for industry-specific use cases. See some examples in our financial services blog https://sierra.ai/blog/five-ways-to-use-ai-agents-financial-services! - Facilitate design partnerships for new product initiatives, such as new agent architectures, self-service capabilities, and generative agent development - Experiment with the latest voice models and figure out how to integrate them at scale to enterprise-grade customers WHAT YOU'LL BRING - Experience building and scaling end-to-end production systems - Strong technical problem-solving skills, especially in fast-changing, ambiguous environments - A builder and tinkerer’s mindset with high agency - you find creative ways to overcome obstacles and ship - Comfort working directly with customers to understand their needs and solve real-world problems - Excellent communication skills - clear, direct, and persuasive across technical and non-technical audiences EVEN BETTER... - Experience building or deploying AI/LLM systems in production - Have been a founder or founding engineer - you know what it means to balance craft, ownership, and speed - Familiarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering - Prior experience with React, TypeScript, and/or Go - Previous roles where you interfaced with customers or led technical projects with external stakeholders OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits - Lunch, as well as delicious snacks and coffee to keep you energized when working onsite - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description. Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy. We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.

Location: Global (Remote) Workplace: Remote EXECUTIVE ASSISTANT Team: CEO Office Location: Flexible / Remote Reporting to: CEO ROLE OVERVIEW Rwazi operates in a high-velocity, AI-native environment where clarity, follow-through, and structured thinking are essential. The Executive Assistant supports the CEO in day-to-day executive operations — documentation, planning cadence, structured follow-ups, and internal coordination. This is a foundational role inside the CEO’s office. While the title is traditional, the expectation is not. We are looking for someone with former founder instincts or strong analytical pedigree — who understands strategy, but is comfortable operating in a support capacity without ego. This role requires intelligence, discipline, and humility. CORE MANDATE The Executive Assistant is accountable for: - Maintaining executive documentation rigor - Structuring meetings into clear outputs and actions - Tracking cross-functional commitments - Supporting board and planning cycles - Reducing cognitive load on the CEO This role strengthens executive execution hygiene. KEY RESPONSIBILITIES EXECUTIVE DOCUMENTATION & STRUCTURING - Capture high-quality, structured notes in executive and board meetings - Translate discussions into clear action items with owners and deadlines - Maintain organized, searchable documentation systems - Draft memos, summaries, and internal briefs PLANNING & CADENCE MANAGEMENT - Support quarterly and annual planning processes - Assist in preparing board decks and executive materials - Maintain visibility over key company-wide priorities - Ensure follow-through across functional leaders CROSS-FUNCTIONAL COORDINATION - Track execution commitments across teams - Follow up on deadlines and deliverables - Escalate slippage early and objectively - Maintain structured dashboards of ongoing initiatives OPERATIONAL & ADMINISTRATIVE SUPPORT - Manage executive scheduling and prioritization - Coordinate internal and external communications - Maintain high professional standards in all outputs ROLE IMPACT Strong performance results in: - Clear executive decision trails - Fewer dropped commitments - Tighter cross-functional alignment - Faster execution cycles - Increased CEO focus on strategic priorities WHAT THIS ROLE IS NOT - This is not a strategic leadership role - This is not independent product or revenue ownership - This is not a stepping stone to immediate executive authority This role requires comfort operating in a support function — regardless of prior seniority. QUALIFICATIONS AND PROFILE We are looking for individuals who demonstrate: - Former founder, operator, or builder experience OR strong analytical background (consulting, finance, research, technical environments) - Exceptional structured writing ability - Strong analytical reasoning and pattern recognition - Comfort synthesizing complex discussions into clarity - High attention to detail - Ability to operate without ego in a support capacity - Strong discretion and professionalism Former founders are welcome — provided they are motivated by discipline and execution, not status. CULTURAL FIT We value individuals who: - Think sharply but act humbly - Prefer execution over visibility - Take pride in structured output - Care about precision - Follow through consistently HOW CANDIDATES ARE EVALUATED Candidates are evaluated based on: - Clarity and structure of written work - Analytical depth in summarizing complex discussions - Discipline in tracking commitments - Comfort supporting executive workflows - Absence of ego in operational contexts SUMMARY The Executive Assistant strengthens the CEO’s office by applying founder-level thinking and analytical rigor to executive documentation, planning, and follow-through. This role is foundational to maintaining speed, clarity, and execution discipline as Rwazi scales.

Location: San Francisco, CA; New York, NY Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs. ABOUT THE HEALTHCARE TEAM - Our healthcare agents already reach over 50% of U.S. families. We partner with leading health plans, providers, and healthcare platforms to deliver AI agents that handle some of the most sensitive and high stakes conversations in any industry. From helping members understand their benefits to resolving billing questions with empathy, our healthcare agents are transforming how patients and policyholders interact with the healthcare system. - Our healthcare customers include major health insurance networks, nonprofit providers, multi-site primary and urgent care practices, healthcare diagnostics companies, and healthcare financial platforms. - Join us to transform the patient experience across the healthcare system—and help build technology that makes care more accessible, more human and more affordable for everyone. WHAT YOU'LL DO - Build enterprise-grade AI agents for healthcare: As an Agent PM at Sierra, you will be responsible for partnering directly with our engineers and customers to build and ship AI agents that handle thousands of customer conversations a day. These agents help people understand their coverage, find providers, schedule appointments, navigate billing, and more—all while maintaining strict HIPAA compliance and the trust that healthcare demands. - Discover where agents will make an impact: Ground-up discovery is a critical part of the role. Work closely with providers, payers, RCMs and pharmaceutical companies to identify new use cases and opportunities for AI Agents to deliver impact for their business. You should be our customer’s trusted advisor, and be able drive strategic decisions for our customers. - Engage with customers: In the role, you will engage with all levels of our customers’ businesses: - Discover and assess their requirements. - Prepare and present demonstrations of Sierra’s agent. - Address and overcome technical challenges in the business process by working with technical counterparts. - Develop and improve Sierra virtual agents to fit and anticipate our customers’ needs and business processes. - Become trusted advisors and drive strategic technical strategies for our customers. - Shape the platform and healthcare roadmap: Your direct work with healthcare customers will guide the evolution of Sierra's core platform. You'll surface unmet needs, prototype new tools and features, and collaborate with research, product, and platform to shape the future of AI agent development in healthcare. EXAMPLE PROJECTS These are examples of projects our healthcare team has worked on: - Develop net new agentic healthcare products that can cut costs and drive revenue in the healthcare ecosystem. - Build AI agents for major health insurance networks that handle detailed questions like "what's my co-pay for a primary care visit?" and "how many physical therapy sessions do I have left?" - Develop voice and chat agents for nonprofit healthcare providers that help members find in-network specialists, check availability, and locate providers based on specialty or location - Create AI agents for multi-site primary and urgent care providers that manage appointments and answer common questions across 30+ clinics - Build agents that replace lengthy paper intake forms with conversational experiences, boosting pre-visit intake conversion rates - Develop AI agents for healthcare financial platforms that help patients understand billing, payment status, explanations of benefits, and financial assistance eligibility. - Experiment with the latest voice models and integrate them at scale for healthcare enterprises requiring secure, compliant phone interactions WHAT YOU'LL BRING - 5-7+ years experience in product development of highly technical products. - Past experience in Product Management or other similar product development roles at or above the level of Senior Product Manager. - Experience crafting and tailoring a message for potential customers, including executives. - Ability to communicate highly technical concepts to both non-technical and technically proficient audiences, including recent AI developments. - Degree in a technical or related field, or equivalent professional experience. - Genuine interest in healthcare and improving patient/member experiences EVEN BETTER... - Experience in healthcare technology, health IT or working with healthcare organizations - Understanding of healthcare compliance requirements (HIPAA, PHI handling and healthcare data privacy) - AI-related experience (experience with product development for AI agents a plus). - Some coding experience with React, Typescript, and Go. - MBA or equivalent professional experience (while this is a product management role, you will have the opportunity to lean into broader business roles). - Past roles that interface with end customers to influence software development. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits - Lunch, as well as delicious snacks and coffee to keep you energized when working onsite - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description. Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy. We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.

Location: San Francisco, CA • New York, NY • United States Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! Figma’s distribution partnerships team is passionate about unlocking new sources of revenue and hyper-scaling growth through the power of strategic alliances. This includes accelerating go-to-market (GTM) efforts, driving adoption of Figma’s platform, and unlocking new use cases via our suite of AI tools. We are looking to hire an experienced business development and partnerships professional to scale our efforts with agencies, systems integrators, consultancies, and commercial partners (resellers) across the globe. This includes driving revenue growth and supporting customers across North America in both commercial and public sectors (government). This is not a channel sales role - we are focused on new critical initiatives and analyzing how partnerships best serve the long-term needs of Figma’s business. This is an exciting opportunity to join an emerging team at Figma where you will play an active role in shaping our long-term partner strategy. You will build new revenue-focused partner programs from scratch and scale our existing motions to better serve customers as Figma’s platform continues to evolve. This is a full-time role that can be held from our New York City or San Francisco hub - or remotely in the United States. What you’ll do at Figma: Identify, evaluate, and execute new strategic distribution opportunities that require complementary GTM partners, and onboard qualified organizations into Figma’s formal partner program Manage and grow relationships with service and commercial partners across AMER — including public sector and Federal clients — driving partner-influenced revenue and aligning on mutual success plans, critical metrics, and documented wins Partner with Figma’s GTM teams to source, scope, and progress partner-influenced opportunities, while identifying new co-marketing and co-selling motions that expand reach and unlock new use cases Evaluate and mature indirect sales motions in the context of Figma’s established sales model, recommending improvements that streamline execution and support long-term growth Educate and enable the partner ecosystem on Figma’s products, services, and AI capabilities, while building strong cross-functional relationships with Sales, Marketing, Customer Experience, Product, and other internal partners We'd love to hear from you if you have: 10+ years of professional experience in partnerships, business development, channel, or related GTM roles 3+ years of experience handling external GTM partners (e.g., SIs, agencies, consultancies, ISVs, resellers, marketplaces, or referral partners) Proven experience building partner programs or strategies from inception to execution, including defining important metrics and revenue goals Experience managing multiple strategic partner relationships simultaneously and driving measurable revenue outcomes While not required, it’s an added plus if you also have: Experience working with partners to influence or capture business within the U.S. Federal government Worked at a service organization or channel partner in a direct GTM capacity Sold to product, design, or technical audiences Familiar with UX/UI design principles, collaboration tools, or digital product development workflows Exposure to a sales methodology (e.g., MEDDICC, Command of the Message) At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $140,000 — $296,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: Global (Remote) Workplace: Remote DECISION INTELLIGENCE ANALYST Team: Product Location: Flexible / Remote Reporting to: VP of Product ROLE OVERVIEW Rwazi’s platform produces decision-grade outputs powered by structured reasoning and AI-assisted judgment. The Decision Intelligence Analyst owns decision quality. This role evaluates system outputs, identifies reasoning weaknesses, and strengthens AI judgment through structured feedback and training loops. It ensures the platform does not merely generate outputs — but generates sound, defensible decisions. The Decision Intelligence Analyst is the quality control layer for decision intelligence. CORE MANDATE The Decision Intelligence Analyst is accountable for: - Evaluating decision outputs for logical integrity and sound reasoning - Identifying patterns of judgment failure or inconsistency - Designing structured feedback loops to improve AI reasoning - Training and refining AI judgment frameworks - Defining measurable standards for decision quality This role governs the reliability of Rwazi’s decision engine. KEY RESPONSIBILITIES DECISION OUTPUT EVALUATION - Review system outputs for logical coherence and reasoning rigor - Assess signal interpretation accuracy - Identify tradeoff miscalculations or flawed inference pathways - Document recurring reasoning gaps AI JUDGMENT TRAINING - Create structured examples to refine reasoning performance - Develop edge-case libraries for training robustness - Formalize evaluation rubrics for decision quality - Collaborate with R&D to improve reasoning architecture QUALITY STANDARDS & METRICS - Define measurable criteria for decision-grade output - Track improvements in reasoning consistency - Monitor drift in output quality over time - Establish acceptance thresholds for release FAILURE MODE ANALYSIS - Identify systemic reasoning weaknesses - Surface blind spots in signal modeling - Propose structured adjustments to logic layers - Escalate structural flaws early CROSS-FUNCTIONAL COLLABORATION - Partner with Product to align quality with roadmap goals - Collaborate with R&D on advanced reasoning improvements - Provide structured feedback to Engineering when system behavior deviates ROLE IMPACT Strong performance in this role results in: - Higher confidence in decision outputs - Reduced reasoning inconsistencies - Improved explainability - Faster detection of system drift - Stronger enterprise trust This role protects the intellectual credibility of the platform. WHAT THIS ROLE IS NOT - This is not general QA - This is not surface-level data validation - This is not simple output review This role evaluates reasoning quality, not formatting correctness. QUALIFICATIONS AND PROFILE We are looking for individuals who demonstrate: - Strong analytical and logical reasoning ability - Experience evaluating AI systems, decision frameworks, or complex models - Comfort dissecting multi-step reasoning chains - Ability to formalize judgment criteria - Strong written clarity and structured thinking - Comfort working with ambiguity and edge cases Candidates may come from applied AI evaluation, consulting, operations research, economics, philosophy of logic, or technically rigorous analytical fields. CULTURAL FIT We value analysts who: - Obsess over reasoning integrity - Question outputs rather than accept them - Care about intellectual rigor - Prefer structured evaluation over intuition - Are comfortable holding high standards HOW CANDIDATES ARE EVALUATED Candidates are evaluated based on: - Their ability to critique and improve structured reasoning - Clarity of their evaluation frameworks - Depth of logical analysis - Ability to identify hidden failure modes - Their rigor in defining measurable quality standards We prioritize demonstrated reasoning discipline over titles alone. SUMMARY The Decision Intelligence Analyst safeguards the quality and integrity of Rwazi’s decision engine. This role ensures that as AI capabilities expand, decision outputs remain structured, defensible, and enterprise-grade.

Location: Global (Remote) Workplace: Remote RESEARCH ENGINEER Team: Research & Development Location: Flexible / Remote Reporting to: Head of R&D ROLE OVERVIEW Rwazi’s research initiatives require rapid experimentation, prototyping, and system validation. The Research Engineer enables applied research through technical system construction. This role builds prototypes, experimental pipelines, evaluation tooling, and research infrastructure that allow decision concepts to be tested under real-world constraints. The Research Engineer operationalizes research velocity. CORE MANDATE The Research Engineer is accountable for: - Building research prototypes and sandbox environments - Developing evaluation tooling for decision systems - Implementing experimental system architectures - Enabling fast iteration between theory and validation - Maintaining technical research infrastructure This role bridges conceptual research and system reality. KEY RESPONSIBILITIES PROTOTYPE DEVELOPMENT - Implement experimental decision pipelines - Build modular, testable research architectures - Translate conceptual models into runnable systems RESEARCH TOOLING & INFRASTRUCTURE - Create evaluation frameworks for reasoning outputs - Build simulation environments for controlled testing - Develop benchmarking systems for decision performance EXPERIMENT ENABLEMENT - Implement A/B logic and structured experiment tracking - Optimize iteration cycles for research testing - Ensure reproducibility of experimental results SYSTEM INTEGRATION SUPPORT - Collaborate with Decision Research Scientists to encode models - Provide technical validation of research concepts - Identify engineering constraints early ROLE IMPACT Strong performance in this role results in: - Faster research iteration cycles - More reliable prototype validation - Reduced gap between research and production - Higher experimental rigor This role accelerates Rwazi’s long-term capability development. WHAT THIS ROLE IS NOT - This is not product feature engineering - This is not maintenance development - This is not short-term optimization This role builds experimental systems. QUALIFICATIONS AND PROFILE We are looking for individuals who demonstrate: - Strong software engineering fundamentals - Experience building experimental or prototype systems - Comfort working in ambiguous research environments - Ability to balance speed and technical rigor - Familiarity with AI pipelines or decision architectures Candidates may come from research labs, AI startups, advanced analytics teams, or system architecture roles. HOW CANDIDATES ARE EVALUATED Candidates are evaluated based on: - Their ability to rapidly implement experimental systems - Technical clarity and modularity of their code - Comfort working with incomplete specifications - Understanding of evaluation logic and system validation - Ability to collaborate with research-oriented thinkers SUMMARY The Research Engineer enables Rwazi’s applied decision research by building the technical infrastructure required to explore, validate, and evolve next-generation decision systems. If you'd like, we can next define: - Decision Systems Fellow (elite individual contributor track) - AI Evaluation & Alignment Lead - Advanced Simulation Architect - Future Platforms Lab

Location: Global (Remote) Workplace: Remote DECISION RESEARCH SCIENTIST Team: Research & Development Location: Flexible / Remote Reporting to: Head of R&D ROLE OVERVIEW Rwazi advances decision systems — software capable of structured reasoning under real-world constraints. The Decision Research Scientist applies formal reasoning, modeling, and experimentation to real enterprise decision problems. This role operates at the boundary between research and application. It translates abstract decision theory, evaluation logic, and structured reasoning into practical system improvements that enhance Rwazi’s decision intelligence. This is applied decision research — not academic isolation. CORE MANDATE The Decision Research Scientist is accountable for: - Designing formal decision frameworks for complex enterprise problems - Modeling tradeoffs, uncertainty, and signal ambiguity - Advancing structured reasoning methodologies - Testing and validating new decision architectures - Converting research insight into system-ready primitives This role strengthens the reasoning depth of Rwazi’s decision engine. KEY RESPONSIBILITIES APPLIED DECISION MODELING - Formalize complex business questions into structured decision systems - Model uncertainty, tradeoffs, and multi-variable constraints - Design evaluation logic for ambiguous signal environments - Develop structured judgment methodologies RESEARCH-TO-APPLICATION TRANSLATION - Apply theoretical frameworks to real client use cases - Test decision logic against live or simulated environments - Identify structural weaknesses in existing decision pathways - Propose formal improvements with measurable rigor EXPERIMENTAL DESIGN - Design controlled experiments to validate reasoning enhancements - Define metrics for decision quality and output consistency - Compare alternative system architectures under defined constraints CROSS-FUNCTIONAL INTEGRATION - Collaborate with Research Engineers to prototype research concepts - Provide formal specifications to Product and Engineering - Advise leadership on long-term decision capability evolution ROLE IMPACT Strong performance in this role results in: - More reliable and explainable decision outputs - Increased reasoning depth across signal types - Expansion into new classes of enterprise problems - Stronger structural defensibility This role deepens Rwazi’s intellectual core. WHAT THIS ROLE IS NOT - This is not feature delivery - This is not surface-level analytics - This is not academic research detached from application This role requires rigorous thinking applied to real-world constraints. QUALIFICATIONS AND PROFILE We are looking for individuals who demonstrate: - Strong grounding in decision theory, systems modeling, or applied reasoning - Experience formalizing ambiguous problems into structured frameworks - Comfort working with AI systems and reasoning architectures - Ability to design and evaluate experiments rigorously - Intellectual independence and systems thinking Candidates may come from applied AI research, quantitative modeling, computational social science, economics, operations research, or advanced analytics domains. HOW CANDIDATES ARE EVALUATED Candidates are evaluated based on: - Their ability to formalize complex decision problems - The rigor and clarity of their reasoning models - Evidence of applying theory to practical systems - Depth of structured thinking - Their ability to improve decision quality measurably SUMMARY The Decision Research Scientist advances Rwazi’s applied decision intelligence by turning complex reasoning into structured, validated system logic.