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Location: New York, NY (HQ); San Francisco, CA; Denver, CO Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE You'll join Ramp's travel team, which builds two products, Ramp Travel and Juno. Both integrate with a growing network of travel management company (TMC) partners. You'll be our expert on how those integrations work in practice: how content (search, booking and changes), payments, approvals, servicing and reporting flow between our products and each TMC. You'll own the operational side of each partnership, from the day it's signed through every customer that goes live on it. You'll work closely with engineering, our customer success managers, and the teams that sign new TMC partners and bring in customers through them, but you won't own those commercial relationships. Success means each new TMC goes live more efficiently than the last, mutual customers on each TMC go live faster and more smoothly over time as your playbooks improve, and the TMC servicing experience for Ramp and Juno travelers is seamless and delightful. The travel team is small and building quickly across both products, so everyone works beyond the edges of their role. Alongside your core work, you'll help wherever the team needs it most. WHAT YOU’LL DO - Build and refine our playbook for standing up a new TMC partner, and work with engineering to take each new TMC from signed partnership to its first live mutual customer. - For each live TMC, build the playbook for adding mutual customers and new points of sale, including in new countries and regions. Support CSMs when a rollout needs TMC-specific setup. - Investigate with engineering when bookings, payments or data don't flow correctly, and see fixes through with the TMC. - Train TMC agents who service accounts through our dashboards. For TMCs that use their own tools, make sure our workflows fit theirs. - Create SOPs for TMC agents to ensure they deliver top tier support for travelers. - Keep TMC partners up to date on product changes that affect them, and answer their agents' questions. - Always get to the why behind a TMC ask and make sure that it’s the best path forward. Just because something is done a certain way doesn’t mean that it’s the right or only way. - Actively track and analyze data to manage and measure the quality of the travel support experience offered by our partners. - Join partner review calls to represent day-to-day operations. - Identify the steps in your playbooks that can be automated or built into the product, and work with product and engineering to make that happen. - Take on work beyond your core role, such as joining Juno's customer support rotation, where you'll see firsthand how our partner integrations shape the customer experience. WHAT YOU NEED - 5+ years in implementation, partner operations, technical consulting, or a similar partner- or customer-facing technical role, ideally in travel technology, SaaS or fintech. - Corporate travel domain experience, such as working at a TMC or with GDSs (Sabre, Amadeus, Travelport), NDC content, or travel mid- and back-office systems. - Technical fluency to troubleshoot integrations and data flows across systems and hold credible conversations with engineers. Engineering depth is not required. - Experience managing external partners or vendors, and working cross-functionally with customer success, product and engineering. - Strong written communication, including the ability to train others and explain technical issues to nontechnical audiences. - AI fluency as a daily habit. Ramp is a builder culture: if you don't instinctively reach for AI before doing things manually, this role will be a hard adjustment. - Thrives in ambiguity and fast-paced environments, with a bias toward action and a high level of ownership. NICE-TO-HAVES - Technical fluency with APIs, integrations, debugging, or data analysis, even if you do not write production code. - Experience in B2B SaaS, travel, fintech, or another operationally complex product. BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: Canada, Waterloo, ON Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Staff Software Engineer, Adaptive Experiences Platform Waterloo, ON About the Role The DTIS organization is building the next generation of adaptive experiences for PlayStation. Our vision is to make every customer touchpoint more relevant, useful, and joyful by combining reusable experience capabilities with personalization, merchandising, experimentation, and intelligent decisioning. We are looking for a Staff Software Engineer to help lead the evolution of our Dynamic Experience Management platform, allowing teams to create and optimize experiences without requiring bespoke implementation for every client, iterating rapidly. You will be a hands-on technical leader working across the experience stack. You will also shape the architecture needed to extend capabilities beyond PS5, across web, mobile, and other PlayStation devices. This is an opportunity to define foundational technology that will change how PlayStation builds, delivers, experiments with, and learns from customer experiences at scale. Responsibilities Define and drive the technical direction for our experiences client SDK, translating the adaptive-experiences vision into an incremental, production-ready architecture. Design and evolve the platform-independent composition layer, public TypeScript APIs, versioned schemas, content adapters, component model, data bindings, and platform renderer contracts. Build reusable experience primitives and native rendering capabilities that support responsive layouts, personalization, experimentation, telemetry, accessibility, localization, and platform-specific interaction models. Establish safe coexistence and migration patterns, including backward compatibility, capability negotiation, validation, feature flags, fallbacks, rollback, and observability. Profile and optimize bundle size, startup and time-to-interactive performance, memory usage, rendering behavior, and runtime reliability on resource-constrained client platforms. Improve developer experience through clear interfaces, reference integrations, test harnesses, preview and debugging tools, automated compatibility testing, and high-quality documentation. Help establish governed, agent-assisted authoring and validation workflows that can translate design and business intent into trusted artifacts, supported by policy checks and evaluation suites. Partner with client, design system, merchandising, content, personalization, experimentation, and platform service teams to align contracts and deliver end-to-end capabilities. Provide technical leadership across team boundaries, mentor engineers, make sound trade-offs in ambiguous problem spaces, and communicate architecture and decisions to technical and non-technical stakeholders. Required Qualifications Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience. 8+ years of professional software engineering experience, including significant experience designing and delivering production client platforms, SDKs, frameworks, or shared libraries. Expert-level proficiency with TypeScript or JavaScript and strong experience with React, React Native, or a comparable component-based client framework. Strong software architecture and API design skills, including modularity, dependency management, versioning, backward compatibility, and incremental migration of large production systems. Experience building data-driven or server-driven user interfaces, reusable component systems, or runtime composition frameworks. Demonstrated ability to diagnose and improve client performance and reliability using profiling, telemetry, automated testing, and production observability. Experience designing for more than one client environment, such as console, mobile, web, TV, or embedded platforms, with a practical understanding of platform-specific constraints. Proven track record of solving ambiguous, cross-functional problems with minimal direction and driving alignment without relying on formal authority. Strong written and verbal communication skills, including the ability to document architecture and explain complex technical decisions clearly. Preferred Qualifications Experience with console development, living-room interfaces, focus-based navigation, or performance-constrained native clients. Experience with schema-backed declarative UI, domain-specific languages, JSON Schema, component expansion, data binding, hydration, or client-side rendering engines. Experience building or integrating client SDKs, content management or merchandising systems, personalization platforms, experimentation frameworks, or design systems. Experience migrating a large client application away from a legacy rendering or content-delivery framework using staged rollout, compatibility layers, and measurable exit criteria. Experience developing platform adapters or renderers for iOS, Android, web, or other native client environments. Familiarity with content and layout separation, runtime content sources, telemetry provenance, accessibility, localization, and safe fallback behavior. Experience with developer tooling, visual preview systems, contract testing, schema validation, or automated cross-platform regression testing. Experience applying generative AI or agentic workflows to software or content creation, including evaluation, governance, and deterministic output constraints. A track record of technical leadership and mentoring across multiple teams. Additional Skills Motivated self-starter who combines long-term architectural thinking with pragmatic, incremental delivery. Customer-focused and attentive to developer experience, operational usability, and measurable product outcomes. Comfortable working in a fast-paced, collaborative environment with partners across product, design, engineering, and operations. #LI-KS1 At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $188,200 — $282,200 CAD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Sydney, Australia 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 Sydney-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. Note: Specialists in Sydney will work 12pm to 8pm, Monday to Friday. Responsibilities Become an expert in all Anthropic products Respond to user support cases 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 and assisting consumer users at 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 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 it is particularly key for this role due to it being among the first Support hires in APAC/ANZ 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: Remote (US); Remote (Canada); San Francisco, CA; New York, NY (HQ) Workplace: Remote ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE The Solutions Team are technical experts that work directly with customers and partners to provide world-class product, sales, industry, and domain expertise. Through deep customer/partner and product understanding, Partner Consultants are trusted advisors externally, and able to positively influence the product roadmap internally. Partner Consultants support Ramp’s Partner Managers across our diverse channel ecosystem — including accounting firms, value-added resellers, private equity firms, and more — by delivering deep product expertise and workflow advisement to partners and their clients. PCs build partner competency, guide best-practice adoption, and strengthen partner trust in Ramp’s capabilities to help them drive meaningful outcomes for the businesses they serve. WHAT YOU’LL DO - Partner with Channel, Partnerships, Sales, Product and Partner Firms to advocate for product & integration development in-line with customer needs - Collaborate with Ramp Channel Partner Managers to showcase technical accounting features and benefits through customized product demos, workflow illustrations, and enablement creation to onboard and train Ramp's partners - Help partners build service packages targeted at Ramp customers and identify opportunities for client-advisory services or managed-services. Develop product solutions based on a deep understanding of integration and configuration options, ensuring effective alignment with customer needs - Architect, advise on, and validate custom API-based integrations between Ramp and third-party platforms — supporting partners in the design, build, and testing of reliable, scalable integrations. - Support Sales and Post-Sales teams in executing advanced technical and accounting implementations for Ramp in conjunction with Channel partners - Evaluate customer requirements for new partner opportunities, determining Ramp's suitability through use-case analysis, ROI assessments, and technical evaluations during customer discovery - Work alongside Channel, Product, Product Marketing, and Product Operations to create and maintain technical assets and an internal knowledge base of customer use cases and best practices WHAT YOU NEED - 6+ years of experience in Partner Architecture, Solutions Consulting, Sales Engineering, Solutions Architecture, or similar customer-facing roles, focusing on implementing business SaaS solutions - Bachelor's degree in computer science, engineering, business, finance, accounting or related field - Strong communication skills: able to translate complex technical solutions into business value, guide customers toward scalable approaches, and diplomatically steer conversations when requests are misaligned with best practices or product capabilities - Experience in channel sales, working with SIs & ISVs highly desired - Expertise in API architecting between finance based software programs - Proficiency in IdP, HRIS, and/or ERP solutions. Expertise in accounting systems, controllership needs, and finance/accounting workflows - Exceptional organizational, project management, and time management abilities - Strong skills in engineering, system design, and technical specification writing - Proactive mindset, adaptability, and comfort in a fast-paced, high-growth startup environment BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: San Francisco; New York City In 2026, we launched Computer, the defining product for the new era of agentic AI. We’ve scaled beyond the millions of people using Perplexity every day for research, shopping, investing and curiosity into a new paradigm of using AI to transform knowledge into action. Product Managers at Perplexity work closely with design and engineering, focusing on the core agentic and search experiences. The ideal candidate should have strong communication and writing skills, the ability to envision innovative technology, and willingness to reimagine work to be more efficient and creative. Ideal candidates have a passion in a particular industry that they are domain experts in: in the application please highlight which industry you are most interested in innovating. THE ROLE The Core Experience team owns the foundational interactions that define how people use Perplexity every day. This includes how users begin and continue work, understand what the product is doing, navigate and find what they need, manage their context and preferences, collaborate with others, and return to ongoing work across platforms. You will identify the highest-leverage user problems, translate them into clear product direction, and partner closely with design, engineering, data science, and research to deliver experiences that feel fast, intuitive, cohesive, and dependable. This role requires strong product judgment, deep user empathy, analytical rigor, and an exceptional eye for detail. WHAT YOU'LL DO - Anticipate opportunities for innovation and value in enterprise industries. - Envision new experiences and deliver a long-term vision. - Understanding of levers for product-led growth and retention. - Work closely with engineering and design to align product expectations and capabilities. - Work with research to evaluate and steer nondeterministic models into the high value outcomes for users. - Have conviction to make difficult product decisions in the face of uncertainty. - Develop a deep understanding of user needs, behaviors, and friction through direct product use, qualitative research, product data, and experimentation. - Make complex AI behavior understandable and controllable through clear interaction models, thoughtful defaults, and well-designed feedback. - Drive alignment when improvements span multiple product surfaces, platforms, or teams. - Communicate product decisions, tradeoffs, progress, and learnings clearly to leadership and cross-functional partners. QUALIFICATIONS - Strong experience with product management and leadership. - Strong experience working with data and metrics. - Experience with productivity and knowledge work products. - Experience with prototyping and data visualization. - Experience with building data driven flywheels for iterative improvement. - Thrives in a small, agile team: has initiative and desire for ownership. - 4+ years of product management experience. OUR MISSION Perplexity's mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating. Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending. Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they've learned. Makers need tools to create their products, their companies, their reality. Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways. Repeat. For curious people this is a cycle that never ends.

Location: Remote Workplace: Remote PAYOR INTELLIGENCE SR. ANALYST COMPANY DESCRIPTION Today, when you go to your doctor and get referred to a specialist, your doctor sends out a referral and tells you, "They'll be in touch soon." So you wait. And wait. Sometimes days, weeks, or even months. Why? Because too often providers are overwhelmed with the painstakingly tedious work required to get paid by insurance companies. Powered by proprietary models, Tennr handles the complex paperwork that gets patients through the door and providers paid, helping operators get patients the right care, at the right time, in the right setting. ROLE DESCRIPTION We're seeking a Payor Intelligence Analyst with deep knowledge of the U.S. payor landscape and a talent for turning fragmented, conflicting information into durable logic. Understanding how payors actually relate to one another, which entities own which plans, who delegates what, and which policy applies when, is work our entire product depends on. You'll build and own payor intelligence at Tennr as a zero-to-one function. The payor landscape is a massive, constantly shifting dataset: parent organizations, subsidiaries, TPAs, PBMs, Medicaid MCOs, Medicare Advantage plans, delegated UM vendors, acquisitions, and rebrands. Your job is to make it legible, building the taxonomies, hierarchies, and governance that let our models and teams reason correctly about it, and translating that reality into product requirements alongside engineering, clinical, and operations. If you've developed deep payer expertise inside a large organization, this is the rare seat with clear ownership and impact. RESPONSIBILITIES - Build and own payor entity mapping: the hierarchies, families, subsidiaries, TPAs, PBMs, and delegated relationships that define how coverage and authorization actually flow. - Source, interpret, and govern medical policies, coverage criteria, government guidance, and fee schedules, establishing effective dating, provenance, and version control. - Design the delegated-relationship logic behind prior authorization, determining which entity owns the decision for a given plan, product, and service. - Identify and track the clinical content sources our policies depend on, such as InterQual and NCCN, and own what we need to contract for and when. - Map prospect and customer payor data back to Tennr's payor model, turning a recurring manual effort into a repeatable system. - Embrace a founder's mindset, proactively driving projects from conception to completion, and contributing significantly to our company's growth and success. CANDIDATE QUALIFICATIONS - 5+ years working across the U.S. payor landscape, with real breadth across Medicare, Medicare Advantage, Medicaid and MCOs, and commercial lines of business. - Fluency in payor structure: payor families, subsidiaries, TPAs, PBMs, delegated entities, regional versus national plans, and self-funded versus fully insured arrangements. - Experience researching and interpreting payor policies, government guidance, fee schedules, or clinical guidelines, including reconciling sources that disagree with each other. - A track record of building taxonomies, frameworks, databases, or mapping systems that other people rely on, not just answering questions as they come in. - Exceptional analytical and pattern-recognition skills, with the investigative instinct to work productively from ambiguous and incomplete information. - Self-directed ownership of a domain end to end, without predefined process or constant validation. - Outstanding communication skills, capable of articulating complex payor concepts to a diverse audience. - Familiarity with SQL or comparable data tooling is a plus. WHY TENNR? - Drive Impact: one of our company values is Cowboy, meaning you set the pace. You won't just talk about things, you'll get them done. And feel the impact. - Develop Operational Expertise: learn the inner workings of scaling systems, tools, and infrastructure - Innovate with Purpose: we're not just doing this for fun (although we do have a lot of fun). At Tennr, you'll join a high-caliber team maniacally focused on reducing patient delays across the U.S. healthcare system. - Build Relationships: collaborate and connect with like-minded, driven individuals in our Hudson Square office (travel to office on quarterly basis) BENEFITS - Remote Flexibility - Unlimited PTO - 100% paid employee health benefit options - Employer funded 401(k) match - Competitive parental leave

Location: United States (Remote); Canada (Remote) Workplace: Remote ROLE SUMMARY Temporal helps developers build and run reliable systems with durable execution. Many customers want to use Temporal in environments where standard Temporal Cloud may not be an option given regulatory, infrastructure, or control requirements—such as self-hosted deployments, FedRAMP-aligned needs, sovereign clouds, and hybrid architectures that span cloud and on‑prem environments. In this role, you’ll own the product surface area that enables companies to deploy, operate, and connect Temporal across self-hosted and Temporal Cloud environments. You’ll partner closely with Engineering, Resident Architects, and self-hosted services to deliver durable, operable capabilities that let customers run Temporal in the environment that best fits their risk and compliance posture. WHAT YOU’LL DO - Own supported self-hosted and hybrid deployment models, including clear positioning, lifecycle expectations, and customer outcomes. - Improve installation, configuration, upgrades, and operability so customers can run Temporal confidently in production across varied infrastructure. - Drive product direction for production readiness and operational tooling (observability, benchmarking, runbooks, diagnostics, upgrade safety). - Define strategy and requirements around database and storage choices, balancing operability, reliability, and customer constraints. - Own multi-region and multi-cloud topology capabilities for self-hosted environments, including performance and resilience tradeoffs. - Partner with Resident Architects and self-hosted services teams to translate customer needs into roadmap, packaging, and repeatable deployment patterns. - Own Temporal Proxy as an end-to-end product: roadmap, packaging, customer deployment experience, and operability. WHAT YOU’LL BRING - Product leadership experience shipping and iterating on infrastructure/platform products, ideally with high reliability and operational requirements. - Strong ability to translate complex customer needs (security/compliance, networking, topology, data, ops) into clear product requirements and high-leverage roadmaps. - Comfort partnering with engineering on technical domains like deployment architecture, replication, storage systems, and operational tooling (without needing to write production code). - Experience driving alignment across stakeholders (Engineering, Security, Support, Field/Resident Architects, Solutions, Sales) and making durable decisions in ambiguous environments. - Strong written communication skills—able to produce crisp PRDs, decision docs, and customer-facing guidance. - A customer-first mindset and appreciation for “last mile” quality: docs, upgrade paths, diagnostics, and operational clarity. NICE TO HAVES - Familiarity with regulated and controlled environments (e.g., FedRAMP-aligned, sovereign cloud constraints) and the operational realities of enterprise self-hosting. - Experience with hybrid architectures, migration programs, or long-lived interoperability across environments. - Experience with benchmarking/performance testing and turning results into product improvements and guidance. - Understanding of multi-region replication patterns and failure modes in distributed systems. Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity. Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.

Location: Dakar, Senegal; Abidjan, Ivory Coast Workplace: Hybrid ⭐️ LA SANTÉ N'ATTEND PAS. Que les symptômes s’aggravent. Qu'il faille 6 mois avant d’obtenir un rendez-vous. Qu'on dépende d’un système de santé englué dans le papier et les processus manuels. Et pourtant, c’est ainsi que fonctionne aujourd’hui la santé en Afrique de l’Ouest. Vous attendez, jusqu’à ne plus pouvoir attendre. Nous existons pour mettre fin à cette attente. Née en 2022 au Sénégal, Tanel est la première assurance santé numérique d’Afrique de l’Ouest francophone. Elle opère au Sénégal et en Côte d’Ivoire. Nous transformons un marché dominé par les processus papier et des acteurs historiques fragmentés. Avec plus de 30 000 membres, un réseau de plus de 1 200 établissements de santé et de plus de 400 pharmacies, ainsi qu’un chiffre d'affaires multiplié par 7 en 2025, nous avons démontré une véritable adéquation entre notre produit et les besoins du marché, dans des pays qui avaient besoin d’une révolution. En 2026, Alan, le leader européen de l’assurance santé axée sur la prévention, avec plus de 950 M€ de CA et + 1 M de membres en France, en Belgique, en Espagne et au Canada, a acquis Tanel afin d’accélérer son expansion sur le continent africain. Ensemble, nous construisons l’assurance santé de référence en Afrique de l’Ouest francophone, avec l’ambition d’atteindre 200 M$ de CA d’ici 2030. NOUS RÉUNISSONS LE MEILLEUR DES DEUX MONDES : L’EXPERTISE DE TERRAIN DE TANEL, SES RELATIONS LOCALES ET LA CONFIANCE QU’ELLE A SU BÂTIR, AINSI QUE LA PLATEFORME TECHNOLOGIQUE DE POINTE D’ALAN, SON EXPERTISE ACTUARIELLE ET SON EXPÉRIENCE DU DÉPLOIEMENT DANS PLUSIEURS PAYS. 🤹 LES OPÉRATIONS CHEZ ALAN Les opérations sont une fonction stratégique. Nous définissons la vision, construisons les systèmes et pilotons les résultats qui rendent possible l’assurance santé digitale et le parcours de santé à grande échelle, sur des marchés où tout reste à inventer. L’équipe Opérations développe nos capacités opérationnelles et fait évoluer efficacement notre plateforme afin d’accompagner la croissance, d’optimiser les coûts et les ressources, et de diversifier nos produits. Nous avançons vite, avec un fort niveau de responsabilité, et sommes fiers de nous attaquer à des problèmes complexes. Nous recherchons des personnes prêtes à réinventer, et pas simplement améliorer, l’assurance et la santé en Afrique de l’Ouest francophone, afin de transformer l’expérience de nos membres et de nos clients entreprises. ⭐️ VOTRE MISSION ⭐️ La description du poste est simple : définir la vision, prendre les décisions difficiles, délivrer et assumer les résultats. En tant qu’Operations Builder, vous construirez et développerez l’infrastructure opérationnelle qui nous permettra de passer de 30 000 à plusieurs centaines de milliers de membres en Afrique de l’Ouest francophone. Vous prendrez en charge des problématiques critiques et ambiguës, avec un impact direct et visible sur nos membres au quotidien. EXEMPLES DE SUJETS À PRENDRE EN CHARGE - Construire un moteur de gestion des sinistres à grande échelle : automatiser l’analyse des dossiers, les remboursements et les recouvrements, développer une capacité de détection de la fraude et piloter l’ensemble du parcours, du rapprochement avec les prestataires à la satisfaction des membres. - Industrialiser la gestion du réseau de prestataires : structurer le pilotage de plus de 1 200 établissements et 400 pharmacies, améliorer la fiabilité des paiements, suivre la qualité et développer le réseau dans de nouveaux territoires. - Déployer les opérations dans de nouveaux pays : construire un modèle opérationnel à partir de zéro, intégrer les exigences réglementaires locales, adapter le produit et mettre en place les partenariats nécessaires. - Mettre en place le suivi de l’excellence opérationnelle : suivre les volumes, l’efficacité, les SLA et la performance financière, identifier les risques et déployer des améliorations continues grâce à l’IA et à l’automatisation. - Construire et développer l’équipe Operations : contribuer au recrutement, accompagner les profils plus juniors et définir les standards d’excellence opérationnelle chez Alan. ⭐️ PROFIL ET COMPÉTENCES ⭐️ - 7 à 10 ans d’expérience dans une scale-up ou un environnement entrepreneurial exigeant. - Maîtrise parfaite du français et un niveau d’anglais avancé. - Capacité à définir une vision et à la traduire en plan d’action concret, en intégrant les dimensions business, expérience client, réglementaire et financière. - Capacité à construire et optimiser des processus garantissant qualité, performance et évolutivité. - Goût pour la création de produits et services à partir de zéro, avec une approche centrée utilisateur et fondée sur les données. - Aisance dans les environnements très ambigus, sans mode opératoire préétabli. - Esprit pratique, rigueur et organisation, avec une capacité à entrer dans le détail. - Capacité à travailler avec des interlocuteurs variés : équipes locales, clients entreprises, professionnels de santé, régulateurs et siège Alan. Ce serait un plus - Expérience en assurance santé, mutuelle, structure IPM ou opérations de santé en Afrique de l’Ouest ou dans un autre marché émergent. - Connaissance de la zone réglementaire CIMA ou des marchés de l’assurance au Sénégal et en Côte d’Ivoire. - Maîtrise de SQL pour analyser les données de manière autonome. - Maîtrise de l’IA et de l’automatisation. ⭐️ CE QUE NOUS ATTENDONS AU COURS DES 12 PREMIERS MOIS ⭐️ - Prendre en charge un domaine opérationnel clé : sinistres, facturation, affiliation ou réseau de prestataires, et le rendre significativement plus efficace et évolutif. - Construire un cadre de suivi de la performance et identifier les principales pistes d’amélioration. - Contribuer au lancement des opérations d’Alan dans au moins un nouveau pays, en mettant en place les partenariats locaux et en adaptant notre modèle. - Participer au développement de l’équipe Operations, notamment au recrutement et à l’intégration de nouveaux membres. - Porter la perspective Operations dans la roadmap produit et la stratégie de l’entreprise. 🎁 AVANTAGES - Type de contrat : CDI - Sur site, dans nos bureaux de Dakar ou Abidjan, en collaboration étroite avec une équipe locale passionnée. - Tous les outils nécessaires pour donner le meilleur de vous-même. - Une assurance santé complète via Alan pour vous et votre famille. - Des opportunités d'apprentissage et de formation : une politique RH flexible, des budgets pour les livres et les conférences. - Pour ce poste, nous recrutons à temps plein, sur une fourchette comprise entre les niveaux 5 et 7 de notre grille https://app.notion.com/p/alaninsurance/Compensation-Alan-9a9fcf8b0cdf497a9c0ac89a11f048a3?source=copy_link (Pay scale B) 🎯 NOTE IMPORTANTE : NOUS RECRUTONS DES PERSONNES, PAS DES RÔLES Si cette opportunité vous intéresse mais que vous ne cochez pas toutes les cases, nous serions ravis d'échanger avec vous. Tout le monde devrait se sentir libre de postuler ! Rappelez-vous, ceci est un guide, pas une liste exhaustive. Nous serons ravis de recevoir votre candidature. 🔖 Consultez nos pages À propos d’Alan https://alan.com/about et Carrières https://alan.com/careers, ainsi que notre page Medium https://medium.com/alan, notre blog https://blog.alan.com/ et notre page Glassdoor https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm pour en savoir plus. #LI-DNP

Location: Remote Germany Workplace: Remote Artificial Intelligence. Actual Impact. At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses. We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive. So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops. 🚀 THE ADVENTURE AHEAD As a Technical Account Manager, you’re the trusted technical engine behind our enterprise customers' greatest learning transformations! You will embed yourself as an essential strategic partner, bridging high-level customer business goals with Docebo’s cutting-edge platform capabilities. In this role, you won't just solve problems—you'll architect long-term technical strategies, pilot innovative solutions, and ensure our customers unlock maximum value to become partners for life. This is a fully remote position, open to candidates located in Germany. ⚡ THE DAY-TO-DAY - Architect the Future: Translate customer business and eLearning goals into long-term, scalable technical strategies using Docebo’s robust feature set. - Own the Technical Relationship: Take full technical and product ownership of your assigned enterprise accounts while collaborating closely with Account Teams on commercial growth. - Serve as the Trusted Advisor: Guide executive and technical stakeholders through platform innovations, API integrations, and AI-assisted workflows to maximize operational efficiency. - Proactively Protect Platform Health: Monitor technical performance metrics—like API usage and login trends—to catch and mitigate potential risks long before they hit platform stability. - Lead Executive Technical Reviews: Deliver high-impact performance presentations on SLAs directly to customer leadership and champion customer feedback internally to Docebo teams. - Drive Systemic Platform Improvements: Partner with Premium Advisors and internal resources to analyze support case patterns, run proof-of-concept pilot projects, and streamline overall platform health. 💪 YOUR SUPERPOWERS - Enterprise SaaS Expertise: Bring 5+ years of SaaS technical troubleshooting and 2+ years of enterprise/large account management experience. - Integration & Auth Mastery: Hold a solid foundation in back-end practices, RESTful APIs, OAuth 2.0, SAML, and front-end essentials like JavaScript, CSS, and HTML. - Data & Middleware Savvy: Possess hands-on skills in at least two key areas: iPaaS tools (e.g., Workato, Zapier), SQL queries, or data warehousing/BI tools (e.g., Snowflake, Tableau, Power BI). - Executive Translator: Master the art of taking complex, highly technical concepts and translating them into simple, high-value business conversations for executive decision-makers. - Global Flexibility & Travel: Ready to support EMEA regional time zones and comfortable traveling internationally up to 25% of the time. - Project Management Mindset: Bring proactive ownership, analytical decision-making, and experience forecasting product release impacts or advising on AI/automation integrations. - German language proficiency is required; however, English is the primary language used for day-to-day communication and collaboration. 🌟 BONUS POINTS - Cloud Certified: Possess an active AWS Product Certification. - Domain Experience: Background in the e-Learning, Learning Management (LMS), or Human Capital Management (HCM) industries. - Scalability Specialist: Direct experience consulting on platform performance, high availability, uptime, and enterprise scalability. OUR HYBRID WORK PHILOSOPHY 🤝 Great work can happen anywhere but coming together helps us go further. Our team spends three days a week in the office (Tuesday-Thursday) to collaborate, solve problems, and learn from each other. With flexibility the rest of the week, it’s a balance designed to help everyone do their best work and keep growing. OUR TOTAL REWARDS PHILOSOPHY 🎉 Our Total Rewards Philosophy centers around three core areas to reward and care for our People: - Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success. - Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our people’s physical, mental, and financial well-being. - Empowering Our Talent Culture: We build a culture of trust and empowerment by designing our rewards and benefits with transparency, equity, and flexibility, enabling our people to do their best work and stay for the long haul. OUR PROMISE TO YOU 😍 - Financial Wellness: Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15% discount, plus a competitive compensation package. - Your Well-Being, Covered: You’ll get access to health benefits, so you can get the care you need when you need it. - Rest, Relax, Repeat: Rest and recharge with paid vacation days, two company-wide Docebo Days, floating holidays for cultural celebrations, and your birthday off! - Family First: We provide coverage offering you time with your little one(s) so you can soak up all those precious moments. Fun fact: we had 30 Docebian babies join the family in 2025! - Connections That Count: Connect with global communities through our Employee Resource Groups (including PRIDE, DWA, BIDOC, and Green Ambassadors) and company-wide events that keep the fun rolling all year long. ABOUT DOCEBO 💙 At Docebo, we create seamless, AI-powered learning experiences for over 3,000 customers worldwide. We have successfully achieved two IPOs (TSX: DCBO & NASDAQ: DCBO https://www.docebo.inc/home/default.aspx), been recognized as a top SaaS e-learning solution, and are growing exponentially in the process. We're a global company, with office across North America, EMEA, APAC, and beyond. Our team is guided by five core values—Grow Together Win Together, Build with Our Customer, Clear is Kind, Own Outcomes, Progress Over Perfection—that shape everything we do. If this resonates with you, now is the perfect time to join one of the fastest-growing learning technology companies in the world. Docebo is an Equal Employment Opportunity employer https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf. We are committed to diversity and inclusion in our workforce. All qualified applicants and employees will receive consideration for employment regardless of their race, colour, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, citizenship status, age, disability, genetic information, or any other category protected under applicable law. As a federal contractor, Docebo is committed to the principles of affirmative action and equal employment opportunity for protected veterans and individuals with disabilities. Docebo does not discriminate because of protected veteran status or on the basis of disability, and Docebo takes affirmative action to employ and advance in employment qualified protected veterans and individuals with disabilities. Any individuals requiring a reasonable accommodation or would like to voluntarily disclose a disability or protected veteran status to assist with their employment application should send an e-mail to their recruiter directly.

Location: London, UK 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 massive GPU, TPU, and Trainium clusters, the volume and complexity of operational data is growing by orders of magnitude—and an increasing share of the hardest problems live below the application layer. We're building next-generation observability systems—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, driving 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 Drive 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 Have hands-on experience building and operating large-scale observability or monitoring infrastructure Have deep, hands-on experience with observability signals end to end—from instrumentation through ingest to query and analysis Understand high-throughput telemetry pipelines and the tradeoffs involved in collecting, storing, and querying operational data at scale Are comfortable digging below the application layer into the kernel, the network stack, or the hardware Have excellent communication skills and enjoy partnering with internal teams to improve their operational visibility and incident response capabilities Are excited about building foundational infrastructure and comfortable navigating ambiguous, high-impact technical challenges, both independently and with a team Preferred qualifications 10+ years of relevant industry experience, including building and operating large-scale observability or monitoring infrastructure Experience building or operating eBPF-based observability in production—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 craft Experience profiling or instrumenting accelerator workloads Experience operating metrics systems at very high cardinality, or large-scale telemetry storage backends 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 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: £325,000 — £390,000 GBP 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 Francisco WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW We are hiring a Partner Manager to help operationalize and scale Harvey’s legal partnerships. This role will own the day-to-day management and execution of legal partnerships, ensuring each one translates into a clear, repeatable go-to-market motion. You will work closely with Harvey’s legal partners and internal teams across Sales, Enablement, and Customer Success to develop joint GTM plans, enable partner teams, coordinate customer opportunities, establish governance and operating cadences, and track performance against shared goals. The ideal candidate is a strong, detail-oriented operator who can bring structure to complex partnerships, drive cross-functional execution, and ensure partners are engaged and delivering measurable commercial value. They are equally comfortable managing strategic partner relationships and owning the operational work required to make those partnerships successful. WHAT YOU'LL DO - Manage the day-to-day execution of select partnerships, including partner onboarding, enablement, joint planning, and ongoing program management. - Build strong working relationships with partner stakeholders and serve as a consistent point of contact across active initiatives. - Coordinate across cross-functional teams like Sales, Customer Success, Marketing, Operations, Finance, Legal, and Product to ensure partner commitments are executed effectively. - Develop clear project plans, operating cadences, partner materials, and internal processes that make partnership programs scalable and repeatable. - Track partner activity, pipeline, engagement, and program performance, and provide clear updates to internal stakeholders. - Drive partner sourced pipeline to achieve pipeline generation targets and company goals. - Gather feedback from partners, customers, and internal teams to improve existing programs and inform future partnership strategy. - Support partner-facing meetings, business reviews, training sessions, and executive updates WHAT YOU HAVE - 5-7 years of professional experience in partnerships, consulting, business operations, strategy, sales, customer success, or a related field. - High attention to detail and a strong sense of ownership. - Strong program management skills, including the ability to manage multiple workstreams, establish clear owners and timelines, and drive follow-through from planning through execution. - Proven ability to build strong relationships with external stakeholders. - Excellent written and verbal communication skills, with the ability to synthesize complex information and communicate clear recommendations. - Strong business judgment and the ability to operate effectively in ambiguous situations. - Ability to influence and maintain momentum across teams with competing priorities. - Ability to thrive in a fast-paced, high-growth, and highly collaborative environment. COMPENSATION $160,000 - $220,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-TM1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: New York WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW We are hiring a Partner Manager to help operationalize and scale Harvey’s legal partnerships. This role will own the day-to-day management and execution of legal partnerships, ensuring each one translates into a clear, repeatable go-to-market motion. You will work closely with Harvey’s legal partners and internal teams across Sales, Enablement, and Customer Success to develop joint GTM plans, enable partner teams, coordinate customer opportunities, establish governance and operating cadences, and track performance against shared goals. The ideal candidate is a strong, detail-oriented operator who can bring structure to complex partnerships, drive cross-functional execution, and ensure partners are engaged and delivering measurable commercial value. They are equally comfortable managing strategic partner relationships and owning the operational work required to make those partnerships successful. WHAT YOU'LL DO - Manage the day-to-day execution of select partnerships, including partner onboarding, enablement, joint planning, and ongoing program management. - Build strong working relationships with partner stakeholders and serve as a consistent point of contact across active initiatives. - Coordinate across cross-functional teams like Sales, Customer Success, Marketing, Operations, Finance, Legal, and Product to ensure partner commitments are executed effectively. - Develop clear project plans, operating cadences, partner materials, and internal processes that make partnership programs scalable and repeatable. - Track partner activity, pipeline, engagement, and program performance, and provide clear updates to internal stakeholders. - Drive partner sourced pipeline to achieve pipeline generation targets and company goals. - Gather feedback from partners, customers, and internal teams to improve existing programs and inform future partnership strategy. - Support partner-facing meetings, business reviews, training sessions, and executive updates WHAT YOU HAVE - 5-7 years of professional experience in partnerships, consulting, business operations, strategy, sales, customer success, or a related field. - High attention to detail and a strong sense of ownership. - Strong program management skills, including the ability to manage multiple workstreams, establish clear owners and timelines, and drive follow-through from planning through execution. - Proven ability to build strong relationships with external stakeholders. - Excellent written and verbal communication skills, with the ability to synthesize complex information and communicate clear recommendations. - Strong business judgment and the ability to operate effectively in ambiguous situations. - Ability to influence and maintain momentum across teams with competing priorities. - Ability to thrive in a fast-paced, high-growth, and highly collaborative environment. COMPENSATION $160,000 - $220,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-TM1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Vienna, Austria About Us Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance. Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution. Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services. Role Overview As a Product Manager within our Trading Experience & Institutional team, you will own the end-to-end strategy, delivery, and optimization of our institutional client service platforms and core financial trading products. You will bridge institutional-grade platform requirements with cutting-edge crypto trading infrastructure—driving product strategy across margin/derivatives trading, institutional dashboards, BI analytics, and client onboarding workflows. Key Responsibilities Institutional Platform Ownership: Lead the end-to-end development and optimization of the institutional client service platform. Define client dashboard requirements, business needs, and data/analytics reporting for institutional, corporate, and professional traders. Financial Product Innovation: Own the continuous delivery and optimization of financial trading products across crypto derivatives, spot, margin, and structured products. Continually monitor market evolution and operational data to drive innovation in platform logic and trading workflows. Client & Market Research: Conduct deep competitive research and user analysis to identify critical feature highlights that elevate the trading experience for professional clients, funds, and quantitative market makers. Cross-Functional Delivery: Partner closely with Engineering, QA, Risk, Compliance, and Business Development teams to translate business and market requirements into seamless PRDs, ensuring initiatives stay on schedule and adhere to high quality standards. Backlog & Issue Prioritization: Collect feedback, operational challenges, and strategic feature requests from institutional clients and internal stakeholder teams; evaluate, prioritize, and drive efficient resolution. Requirements Experience: 5+ years of relevant product management experience in internet-based B2B platforms, financial trading products, or B2B data/BI products (or 2+ years with a Master’s degree). Track Record: Proven ability to independently drive medium-to-large business initiatives, with at least 1 year of tenure on a successful live product or a demonstrated record of launching a trading/B2B product from scratch. Domain Expertise: Deep logical understanding of financial trading concepts (stocks, futures, forex, or digital currency derivatives) combined with personal trading interest or professional experience. Analytical & Technical Rigor: Exceptional multi-dimensional data analysis skills, strong logical thinking, and high-quality product documentation capabilities (PRDs, workflows, data mapping). Leadership & Execution: Self-motivated, highly accountable team player with outstanding cross-team communication, coordination, and stakeholder management skills. Language: Fluent/Professional English proficiency (spoken and written) as a primary working language. Preferred Qualifications / Nice to Have Prior product management experience directly at a tier-1 cryptocurrency exchange or fintech trading platform. Experience in quantitative trading products, API product development (REST/WebSocket), or blockchain on/off-ramp mechanisms. Familiarity with broader traditional finance instruments including securities, funds, bonds, and institutional compliance frameworks (e.g., AML, Travel Rule, KYC pipelines). Why Join Us At Bybit, we are committed to fostering a supportive and enriching work environment. Our benefits include: - Study Growth Fund: We support your professional development and continuous learning. - Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation. - Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world. - Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company. - Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.

Location: 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 Core owns the foundational journeys that define a user's relationship with OKX: account management, identity verification, moving and securing funds, and the risk, compliance, and customer support experiences that sit alongside them. It also covers the internal enterprise tools our support agents, PMs, and operations teams rely on every day to serve customers and run the business. These are among the most consequential surfaces in the product. They determine whether users feel confident enough to trade, whether they trust us with their assets and their data, and whether the teams behind the scenes can resolve issues quickly and well. AI is central to how Core works and what Core builds. On the product side, we design AI-powered support and assistant experiences that help millions of users get answers and resolve issues in real time. Internally, we are an AI-native team: we use AI to move faster, sharpen our thinking, and raise the quality of what we ship, and we design the AI-native tools our internal teams depend on. If you are excited to design with AI and to shape how AI shows up for both customers and colleagues, this is a place to do it at scale. As a designer on Core, you'll take ownership of these high-stakes experiences end to end. The problems are genuinely hard. You'll design across markets with fundamentally different regulatory requirements, from newly regulated regions to our established global user base, and your work will need to satisfy strict compliance and security standards while still feeling fast, clear, and reassuring. You'll partner closely with product, engineering, legal, and compliance, shaping requirements early rather than executing them late. This is work where the details carry real weight. If you want to influence how millions of users experience crypto at its most critical moments, and how the teams supporting them get their work done, Core is one of the most impactful places to do it at OKX. What You’ll Be Doing Own complex, high-stakes journeys end to end across account, assets, compliance, or support, taking them from problem definition to shipped, polished execution. Design AI-powered experiences, from customer-facing assistant and support flows to AI-native internal tools, thinking through how people and AI work together, and where trust, transparency, and control matter most. Partner with product, engineering, legal, compliance, and risk to define the real problem, then design solutions that balance regulatory and security requirements with a genuinely good user experience. Produce the full range of design artifacts as needed: user flows, journey maps, wireframes, high-fidelity designs, and interactive prototypes, backed by evaluative research. Work in an AI-native way, using AI to accelerate exploration, prototyping, and decision-making, and helping raise the bar for how the team designs. Shape the design vision for your area alongside UX Research, UX Writing, and product leadership, and influence the roadmap early rather than delivering to it. Raise the quality bar through design reviews, critique, and workshops, and bring rigor to ambiguous, high-consequence problems. What We Look For In You We hire against a shared set of competencies. Beyond craft, we look for how you think, decide, collaborate, and drive work forward. Craft and expertise. Deep design craft with a sharp eye for detail, and up-to-date knowledge of your field. You analyze problems methodically and turn them into simple, effective solutions you can execute end to end. Judgment in ambiguity. You cut to the root of a problem, make sound calls even with incomplete information, and find the optimal path rather than the obvious one. Core problems are rarely clean, and good judgment is what keeps users safe. Business and product sense. You understand how the business works and where it's heading, and you connect design decisions to strategy, metrics, and real outcomes, not just the screen in front of you. Collaboration and communication. You communicate with clarity and precision, build genuine trust with product, engineering, legal, and compliance, and give and seek feedback that raises the whole team's work. Partners see you as a collaborator, not a service function. Drive and curiosity. You ask why before you design, stay resilient when problems are hard or ambiguous, and keep pushing your craft and ideas forward. You question the brief rather than just building it. AI fluency. Genuine fluency and enthusiasm for AI. You already use AI tools in your own work, and you're excited to design AI-driven experiences, not just adopt the buzzword. Experience designing complex, multi-step flows, ideally in fintech, crypto, or another regulated or high-trust domain. 3+ years of experience shipping end-to-end design solutions in cross-functional teams at a tech company. Nice to Haves Experience designing AI or conversational interfaces, or a track record of using AI to change how you work as a designer. Interest in designing complex internal tools and operational workflows, not just customer-facing surfaces. Exposure to data-informed design. You're comfortable interpreting user insights, behavioral data, or A/B test results. Familiarity with design systems and the ability to scale consistency across platforms. Prototyping skills to bring ideas to life and communicate transitions or microinteractions. Experience working across time zones with distributed teams. You know how to stay aligned and communicate with clarity. A degree in design, HCI, or a related field. 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: Cardiff, London or Remote (UK) 🚀 We’re on a mission to make money work for everyone. We’re waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as personal and business bank accounts, we offer joint accounts , accounts for 16-17 year olds , a free kids account and credit cards in the UK, with more exciting things to come beyond. Our UK customers can also save , invest and combine their pensions with us. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We’re not about selling products - we want to solve problems and change lives through Monzo ❤️ 📍London/Cardiff/UK Remote | £59,500 - £80,500 + Benefits ✨| ℹ️ 12 Month Fixed-Term Contract Our Financial Crime team ⭐ Our Financial Crime Collective helps keep Monzo and our customers safe by building effective, proportionate controls that protect against financial crime while delivering great customer outcomes. We’re looking for a Senior Financial Crime Analyst to join our Actions Squad . You’ll be a subject matter expert across key financial crime controls, taking ownership of complex problems and helping us continuously improve how our controls operate across both Monzo Bank Limited (MBL) and Monzo Bank Europe (MBEU). This is a role with plenty of ownership and cross-functional exposure. You’ll work closely with teams across Financial Crime, Operations, Product and Engineering, using data and your financial crime expertise to identify risks, strengthen controls and shape longer-term improvements. 🔑 You’ll play a key role by... Owning our global risk controls for Exit & Defunds, Law Enforcement and Acceptable Use Standard , with end-to-end oversight of BAU performance across MBL and MBEU. Developing and improving control documentation and standards, balancing financial crime risk, operational efficiency and customer experience. Using data and trend analysis to monitor control effectiveness, identify emerging threats and spot opportunities to strengthen our controls. Making sure we have appropriate financial crime control coverage as Monzo launches new products and expands into new areas. Identifying and prioritising material risks, escalating these clearly to leadership alongside practical, evidence-based recommendations. Owning the investigation and remediation of incidents within your control areas and partnering with other Control Owners to resolve high-impact issues. Acting as a domain expert for your areas, providing technical guidance, sharing knowledge and helping build capability across the wider Financial Crime Collective. Leading cross-functional initiatives across Product, Operations and Engineering, building shared understanding and influencing teams towards compliant and customer-focused solutions. Taking on Nominated Approver and Financial Crime Floater responsibilities. 🤩 We’d love to hear from you if… You have strong financial crime and regulatory compliance expertise and are comfortable acting as a subject matter expert within your domain. You’re confident using data to understand control performance, identify weaknesses and make evidence-based recommendations — experience with tools such as Looker would be useful. You’re comfortable independently assessing and prioritising complex financial crime risks, making proportionate decisions and escalating material issues when needed. You communicate clearly and can adapt your approach for different audiences, from operational and technical teams through to senior leaders. You’re great at working cross-functionally and can build strong relationships across teams such as Product, Operations and Engineering to influence outcomes without relying on formal authority. You’re comfortable managing a complex portfolio and competing priorities, while maintaining a high bar for quality and proactively identifying opportunities to improve how we work. 🙌 What’s in it for you 💰 £59,500 - £80,500 ℹ️ Please note this will be a 12 month fixed-term-contract 📍This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London) ⏰ We offer flexible working hours and trust you to work enough hours to do your job well, and at times that suit you and your team. 📚 £1,000 learning budget each year to use on books, training courses and conferences. 🏡 We will set you up to work from home; all employees are given Macbooks and for fully remote workers we will provide extra support for your work-from-home setup. ➕ Plus lots more! Read our full list of benefits . 🌈 The application journey has 3 steps... 20 min call with the recruiter Intro call with the Hiring Manager 2 hours of technical and behavioural interviews This process should take around 3-4 weeks - your schedule is really important to us, so we promise to be as flexible as possible! We have some guidelines on using Artificial Intelligence (AI) to ace an application and interview at Monzo. You can read them here. We’ll only close this role once we have enough applications for the next stage. Please submit your application as soon as possible to make sure you don’t miss out. #LI-OS1 #LI-REMOTE Equal opportunities for everyone Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog , 2026 Diversity and Inclusion Report and 2025 Gender Pay Gap Report. We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. If you have a preferred name, please use it to apply. We don't need full or birth names at application stage 😊

Location: Tokyo Workplace: Hybrid Operating beyond the scope of conventional services or solutions engineering, Solutions Architects function as embedded technical advisors. You will manage the entire spectrum of customer outcomes, initiating with deep discovery and investigative work and culminating in the design, integration, deployment, and long-term enablement of the customer. This position sits at the intersection of analytical rigor, financial services expertise, and strategic customer partnership. You will engage directly with banks and other financial institutions to understand their operational goals, risk requirements, investigative needs, and compliance challenges, developing bespoke workflows that allow organizations to leverage Chainalysis independently. Your impact hinges on strong investigative instincts, technical proficiency, an understanding of financial crime and compliance within banking, and the ability to build trusted relationships with senior stakeholders. Japanese language fluency is required, both spoken and written. In this role, you’ll: - Own end-to-end customer engagements with banks and financial institutions, from discovery through investigation, solution design, deployment, enablement, and ongoing value delivery - Partner directly with banks and financial institutions to understand investigative, intelligence, compliance, fraud, AML, and operational objectives and translate them into actionable outcomes - Design, build, and maintain custom workflows, notebooks, dashboards, queries, and data models using Chainalysis data and products - Enable customers to operate solutions independently, building internal capability and embedding Chainalysis into their operational infrastructure - Act as the primary technical and domain advisor for customers, building trusted relationships through hands-on expertise and credibility - Deliver live training, demonstrations, investigative walkthroughs, and technical briefings to both technical and non-technical audiences - Support pre-sales technical engagement for complex and strategic financial services opportunities, helping customers understand what is possible and how to achieve it - Collaborate closely with Product, Engineering, Global Intelligence, and Sales to influence the roadmap and improve offerings based on customer and market intelligence - Develop and share financial services domain expertise, investigative techniques, and best practices that raise the capability of the wider team We’re looking for candidates who have: - Professional experience working directly with banks, financial institutions, or other financial services organizations - Fluency in both spoken and written Japanese - Conducted or directly supported cryptocurrency investigations, blockchain intelligence, financial crime analysis, AML, compliance, fraud, or related work in an operational environment - Strong understanding of how banks and financial institutions manage financial crime, compliance, risk, investigations, and digital asset exposure - Deep familiarity with blockchain ecosystems, including BTC, ETH, stablecoins and DeFi, and how on-chain data can be used within financial crime, compliance, risk, or investigative workflows - Delivered customer-facing technical solutions, whether investigative outputs, data products, or analytical workflows, in complex real-world environments - Built insights from large or complex datasets and communicated findings to varied audiences, from analysts to senior banking executives - Operated successfully in fast-paced, ambiguous environments requiring ownership, adaptability, and sound judgment Required Skills: Technical Skills - Proficiency in Python and SQL for data analysis, transformation, and solution development - Experience building notebooks, dashboards, and analytical workflows - Solid understanding of data modelling, querying, and working with large datasets - Ability to quickly develop deep expertise in Chainalysis data structures, schemas, and products Financial Services & Domain Expertise - Substantive experience working with banks or financial institutions is a must - Experience in one or more relevant domains, such as AML, financial crime investigations, fraud, sanctions and compliance, risk, cybercrime, or digital asset compliance - Understanding of how banks and financial institutions operate, including their investigative workflows, regulatory environment, risk frameworks, and stakeholder structures - Ability to apply financial services and domain expertise to shape investigative approaches, solution design, and customer advisory - Strong understanding of how blockchain intelligence and digital asset data can support banking, compliance, risk, and financial crime objectives Customer & Communication Skills - Proven ability to build trusted, long-term relationships with banking and financial services customers through technical and domain credibility - Excellent communication skills, with the ability to explain complex investigative and data concepts to both technical and non-technical stakeholders - Fluent Japanese communication skills, both written and verbal - Comfortable leading customer sessions, workshops, training, and technical working groups - Experience enabling and upskilling customer teams, not just delivering outputs but building long-term customer capability - Ability to communicate effectively with senior banking, compliance, risk, AML, and financial crime stakeholders AI at Chainalysis AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it. AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before. About Chainalysis Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation. You belong here.  At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture. We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf. We can’t wait to meet you.

Location: 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 Anthropic's Safeguards organization builds the policies, evaluations, and enforcement systems that keep our models from contributing to catastrophic harm. We are hiring a manager to lead the research engineering team responsible for biological safety: the evaluations, datasets, and classifiers that govern how our models handle biological knowledge. You will lead a team of research scientists and engineers who design and run capability evaluations against frontier models, curate training data for our safety classifiers, train and iterate on those classifiers alongside our ML engineers, and measure how they hold up against adversarial pressure in production traffic. You will set the technical direction for that work, decide where the team invests, and own the results. This is a hands-on management role. Most of your time goes to growing and directing the team, but you will keep enough technical depth to review an eval design, interrogate a classifier's failure modes, and represent the work credibly to Research, Product, and Policy partners. The core tension your team owns is precision: safeguards need to be robust against sophisticated actors while staying out of the way of the far larger population of legitimate researchers using Claude to accelerate life sciences work. Getting that tradeoff right is an empirical problem, and your team is the one measuring it. Key responsibilities Manage, coach, and grow a team of research scientists and engineers working on biological safety evaluations and classifiers, including hiring, onboarding, performance, and career development Set the technical direction and roadmap for the biological safety research agenda, and make the calls about what the team builds, what it deprioritizes, and when a safeguard is ready to ship Own the quality of capability evaluations that assess what new models can do in the biological domain, and turn results into deployment recommendations that leadership can act on Guide the development of training and evaluation datasets for our safety classifiers, working with internal and external threat modeling experts to ground them in realistic risk Oversee the training and iteration of safety classifiers alongside ML engineers, optimizing jointly for adversarial robustness and low false-positive rates Ensure the team invests in the tooling and pipelines that make evaluation and classifier development fast and repeatable Establish how the team measures classifier and eval performance against production traffic, identifies gaps, and prioritizes improvements Direct red-teaming and stress-testing of safeguards as threats, models, and product surfaces evolve Partner with Research, Product, Policy, and government affairs colleagues to embed biological safety throughout the model development lifecycle, and serve as an escalation point for biological content Represent the team's work in external communications including model cards, blog posts, and policy documents Track developments in biology, machine learning, and biosecurity for their potential to create new risks or enable new mitigations Minimum qualifications Experience managing a technical team, including hiring, coaching, and performance management A record of setting technical direction for a team and making prioritization calls under uncertainty Proficiency in Python, with a background in scientific programming and data analysis A solid grasp of ML fundamentals, sufficient to critically review evaluation design and classifier development Knowledge of modern biology across both measurement and engineering: high-throughput assays and functional characterization, as well as gene synthesis, genome editing, strain construction, and protein engineering Experience designing quantitative experiments or evaluations and drawing defensible conclusions from noisy results Clear analytical and writing skills, and the ability to explain technical concepts to non-technical stakeholders Familiarity with dual-use research concerns and biosecurity frameworks, such as select agent regulations, the Biological Weapons Convention, or Australia Group guidelines Comfort with ambiguity and with shifting priorities as AI capabilities change Motivation to prevent misuse without obstructing the beneficial work that makes up the vast majority of this field Preferred qualifications 3+ years of people management experience, ideally leading research scientists, research engineers, or ML engineers Experience building a team or function from a small headcount, including defining scope, hiring the first few people, and establishing how the team works At least 8 years of hands-on experience in life sciences, with deep expertise in areas such as molecular biology, drug discovery, or computational biology Experience working with large language models, including prompting, fine-tuning, or evaluation Experience training or deploying classifiers or other ML systems in production, and comfort reasoning about precision and recall for rare, high-consequence categories where the base rate is very low Experience developing ML methods for biological systems or biological data Familiarity with adversarial robustness, red-teaming, or safety evaluation of ML systems Experience leading complex technical projects across multiple stakeholder groups 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: $405,000 — $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 Francisco, CA | New York City, NY | Washington, DC 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 Safeguards Enforcement Lead on the User Well-Being team, you will be responsible for managing our child safety, mental health, abuse and exploitation, and age assurance enforcement workflows. This will include managing the team responsible for scaling, maintaining, and continuously improving the systems and processes we use to detect and respond to these harms. This is a management role. You will serve as the central point of contact for those who conduct content review, managing day-to-day workflows, quality assurance, and escalation processes. You will also work closely with internal Engineering, Policy, and Legal teams to scale detection systems and close enforcement gaps as the threat landscape evolves. Important context for this role: In this position you will regularly be exposed to and engage with explicit content of a sexual nature involving minors, as well as content that may be violent or psychologically disturbing. Anthropic takes the wellbeing of team members working in this area seriously and provides access to wellness resources and support. Candidates should carefully consider this aspect of the role before applying. Key responsibilities Manage a team of individual contributors across multiple policy areas under the User Well-Being banner Serve as the primary point of contact for review partners conducting content review, including onboarding, training, quality assurance, and ongoing relationship management Design and improve enforcement workflows to scale effectively as volume grows, while maintaining high accuracy and consistency across review decisions Partner with Engineering and Data Science teams to optimize detection models and automated enforcement systems for User Well-Being policies Develop and maintain internal documentation, decision trees, and review guidelines that enable accurate and consistent enforcement at scale Keep up to date with emerging AI policy enforcement best practices, evolving legal frameworks, and developments in technology, and use these to inform our workflows Identify and report trends in misuse patterns to internal stakeholders, including Policy, Legal, and Trust & Safety leadership Coordinate reporting obligations to relevant external bodies (e.g., NCMEC) in accordance with applicable law and Anthropic policy Minimum qualifications Experience managing teams in the User Well-Being space Experience in trust & safety, content moderation operations, or policy enforcement with direct exposure to child safety, mental health, abuse and exploitation, and age assurance harm areas Experience managing or coordinating content review operations, including quality assurance and workflow management Experience standing up and scaling policy enforcement or content review workflows Proficiency in SQL and/or other data analysis tools to monitor workflow health, review queue metrics, and surface enforcement trends Experience identifying emerging risks and communicating findings to cross-functional stakeholders, such as Product, Policy, Engineering, and Legal teams Understanding of the challenges involved in implementing product policies at scale in the content moderation space Preferred qualifications Deep subject matter expertise in child safety, child sexual exploitation and abuse (CSEA), online child protection, mental wellness, and age assurance Experience working with or reporting to NCMEC, IWF, or equivalent child safety reporting bodies Familiarity with relevant legal and regulatory frameworks, including CSAM reporting obligations, KOSA, COPPA, or equivalent international frameworks Experience working with generative AI products, including an understanding of how AI systems can be misused to generate or facilitate abusive content Experience designing or evaluating trauma-informed support structures and wellness protocols for content reviewers working with harmful material Proficiency in Python for workflow automation or data analysis Experience working with hash-matching technologies (e.g., PhotoDNA, CSAI Match) or perceptual hashing tools used in CSAM detection Familiarity with age assurance technologies and their role in child safety enforcement 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: $285,000 — $330,000 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.