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Location: Lagos, Nigeria Governance & Policy Develop, review, and maintain information security policies, standards, procedures, and guidelines. Ensure alignment with recognized frameworks and standards (e.g. ISO/IEC 27001, PCIDSS, CBN Cybersecurity Framework). Define security governance structures, roles, and decision‑making processes. Risk Management Support enterprise information security risk assessments and risk treatment plans. Maintain the security risk register and track remediation activities. Advise business units on risk acceptance, mitigation, transfer, or avoidance. Compliance & Regulatory Assurance Ensure compliance with applicable laws, regulations, and contractual requirements (e.g. NDPR, CBN Cybersecurity Framework, PCI DSS, ISO 27001). Coordinate internal and external audits, assessments, and certifications. Track and remediate audit findings and compliance gaps. Metrics, Reporting & Assurance Define and maintain security governance KPIs, KRIs, and dashboards. Prepare security posture reports for management, risk committees, and auditors. Support board‑level and executive reporting on information security matters. Third‑Party & Vendor Security Governance Support third‑party security risk assessments and due diligence processes. Review supplier security controls and contractual security clauses. Monitor ongoing compliance of critical vendors. Awareness & Continuous Improvement Support security awareness and policy training initiatives. Monitor regulatory changes and emerging governance trends. Drive continuous improvement of governance and control maturity. Requirements Bachelor’s degree in Information Security, Computer Science, Information Technology, or a related field. Minimum of 5–9 years’ experience in information security governance, risk, and compliance (GRC). Hands-on experience implementing or managing security frameworks (e.g., ISO 27001, CBN Cybersecurity Framework, NDPR, PCI DSS). Strong understanding of risk management methodologies and control frameworks. Experience working with audits, compliance reviews, and regulatory requirements. Familiarity with security tools and platforms supporting governance and compliance activities. Experience in financial services, fintech, or telecommunications is an added advantage.

Location: Toronto, Ontario, Canada About the Role iCapital is seeking a Compliance Associate to join the Global Regulatory and Compliance team to support our Compliance team in ensuring adherence to applicable securities laws, regulations, and internal policies. The ideal candidate will have experience in regulatory compliance within the investment industry and a strong understanding of National Instrument requirements and regulatory expectations for PMs, EMDs, and IFMs. This role will assist with a variety of regulatory activities both at the company level and for investment vehicles. This individual will be responsible for all regulatory and compliance matters for iCapital’s business in Canada. iCapital operates through several different international entities, many of which are licensed to conduct regulated activities. The successful candidate will partner with the business teams to ensure that our Canadian office is operating within the letter and the spirit of the regulations. Responsibilities Assist in the development, implementation, communication, maintenance, and monitoring of compliance policies and procedures to ensure adherence to securities regulations (i.e. NI 31-103, NI 81-102, and NI 45-106). Foster a culture of compliance across the organization. Establish strong working relationships with business partners and other stakeholders. Collaborate with various departments within iCapital, to ensure alignment on compliance issues. Liaise with external parties and internal stakeholders for compliance-related matters and corporate governance. Support the preparation and filing of regulatory reports, including 45-106F1s, capital market participation fee filings, and other filings. Manage the Canada Compliance Calendar and ensure that all due dates and responsible individuals or parties are held accountable. Support regulatory audits, inquiries, and inspections by securities regulators, as required. Monitor and track regulatory developments and update internal policies accordingly. Assist with compliance training and attestations for employees, ensuring ongoing awareness of regulatory requirements and ethical standards. Coordinate and organize board meetings, including preparation of packages and minutes. Maintain compliance records and support the management of regulatory filings, certifications, and other compliance-related documents. Contribute to the implementation and continuous improvement of programs, processes, policies, and tools to meet or exceed regulatory requirements, industry best practices, and achieve organizational goals. Support the Canada Legal and Compliance team overall and provide back-up for the other members of the team. Qualifications 2-5 years of experience of senior compliance, business controls, operations and regulatory experience with an investment fund manager, portfolio manager and exempt market dealer entity regulated by the Canadian securities authorities Bilingual in English and French preferred Compliance expertise in the private fund and investment management space Experience with regulatory filings is a plus Excellent analytical skills, attention to detail, and able to interpret regulatory requirements Adaptable and entrepreneurial, able to work within the fast-paced, growing and constantly evolving structure of a high-growth company Strong written and verbal communication skills Able to manage multiple tasks, meet deadlines, and work independently or as part of a team Strong computer skills, including MS Suite (i.e. Word, Excel, and PowerPoint, and DocuSign) Benefits The base salary range for this role is CAD 80,000 to CAD 95,000.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO). We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday. For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/ iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Location: Salt Lake City, Utah, United States About the Role The ideal candidate for this role is a strong cloud architect who excels at both big-picture thinking as well as hands-on technical work.  With very strong AWS, Kubernetes and web infrastructure skillsets, they will be working on projects building or improving our core compute, core network and edge infrastructure.They also play a critical role in helping the iCapital platform scale and doing so with an automation-first mentality. The engineer will work with application and platform teams to onboard services, establish connectivity, troubleshoot traffic flows, and maintain consistent networking patterns across environments. Responsibilities Design and continually improve Kubernetes architecture, also helping operationally manage cluster lifecycle. Work on projects integrating new self-hosted and SaaS services, in some cases understanding and working with developers to help design software architecture Manage Transit Gateway, Network Firewall and external connectivity.  Own architectural guidance for edge and traffic management, including CDN, DNS, and TLS strategies (e.g., Akamai, Cloudflare). Produce and maintain reference architectures, design documents, and architectural guardrails Partner with engineering, security, and product teams to ensure platform standards are practical, well understood, and broadly adopted. Qualifications 8+ years of experience in platform, cloud, or infrastructure engineering roles, with demonstrated architectural responsibility.  Must have strong hands-on experience designing and operating Kubernetes platforms in production environments, including a strong understanding of autoscaling strategies, node provisioning, and security on EKS. Deep understanding of AWS infrastructure, including networking, security primitives, and managed services.  This includes expertise in cloud networking architecture patterns, including VPC design, routing, and planning for scale. Strong understanding of ingress/egress, TGW design and private connectivity. Comfortable operating as a senior individual contributor with influence across multiple teams as a leader. Very Strong written and verbal communication skills, with the ability to explain architectural decisions to both technical and nontechnical audiences. Preferred Qualifications Expertise in Kong or other API Gateways at a deep level Experience directly managing Akamai in a production environment Strong understanding of application design principles Some experience with EKS standards such as Bottlerocket, Karpenter, Auto-mode A software engineering background is helpful, and some experience with Python expected. Certifications (AWS / Kubernetes) are a plus but not required. Benefits The base salary range for this role is $130,000 to $160,000 depending on level.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO). We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday. For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/ iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Location: San Francisco, CA | New York City, NY 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 Data Operations Manager, you'll build and scale data operations across research teams working on frontier AI capabilities. You'll partner with researchers to design and execute data strategies, manage vendor relationships, and own the entire data pipeline from requirements to production. This role requires operational excellence combined with technical depth to understand what makes high-quality training data, but your focus will be on strategy and execution. About the Impact The data operations you build will directly determine how well our models perform on critical capabilities—tool use accuracy, prompt injection robustness, long-horizon reasoning, and safety alignment. You'll work with world-class researchers advancing the frontier while building the operational infrastructure to scale these efforts. We're looking for someone who gets excited about the challenge of scaling quality across diverse research areas—someone who can understand nuanced technical requirements, build the right partnerships, and execute flawlessly. If you thrive at the intersection of operational excellence and cutting-edge AI research, we'd love to hear from you. Responsibilities: Own and execute data strategy for research teams advancing frontier AI capabilities across RLHF, safety, tool use, and agentic workflows Drive strategic vendor partnerships and build scalable frameworks for technical data collection at scale Design and implement operational systems that translate research requirements into high-quality data pipelines Build evaluation frameworks and quality standards that ensure data meets the bar for training state-of-the-art AI systems Lead cross-functional initiatives to optimize research velocity while maintaining rigorous quality standards Proactively identify risks, bottlenecks, and opportunities to improve efficiency and effectiveness across data operations Partner with senior research leaders to align data operations with model development roadmaps and strategic priorities You may be a good fit if you: Have 3+ years in operations, consulting, product management, or program management roles Have exceptional project management skills with ability to handle multiple complex projects simultaneously Have strong communication skills and can engage effectively with technical and non-technical stakeholders Are familiar with how LLMs work or have strong interest in understanding AI training methodologies Are highly organized and can navigate ambiguity effectively Have experience with data analysis tools (SQL, Python, Tableau, spreadsheets, or similar) Thrive in fast-paced research environments with shifting priorities Are passionate about AI safety and understand the critical importance of high-quality data Strong candidates may also have: Experience with data collection, labeling, or annotation operations for AI/ML systems Knowledge of RLHF, constitutional AI, or human-in-the-loop workflows Background working with research teams at AI companies or research-oriented organizations Experience managing vendor relationships or external contractors Consulting background with experience translating complex requirements into deliverables Track record of implementing process improvements or quality control systems at scale 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: $270,000 — $365,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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; Palo Alto; New York City ABOUT THE ROLE The Data Platform team owns the end-to-end data lifecycle at Perplexity, from ingestion through processing, storage, and serving, powering product features, analytics, experimentation, AI workloads, and the company’s data lake. The team defines the architecture for batch and streaming systems, the orchestration and observability stack, and a self-serve data platform, while thoughtfully combining platforms such as Databricks and Snowflake with open-source technologies including Spark, Kafka, Flink, Airflow, Dagster, dbt, Iceberg, Delta Lake, and ClickHouse. In this senior/staff role, you will shape architecture, set standards, and drive the long-term technical direction of Perplexity’s data ecosystem. KEY RESPONSIBILITIES - Design and operate large-scale batch and streaming data pipelines that directly power Perplexity product features, AI training and evaluation workflows, analytics, and experimentation. - Build event-driven and streaming systems (Kafka, Kinesis, PubSub, or similar) for real-time ingestion, transformation, and delivery, alongside batch frameworks for backfills, aggregations, and offline computation. - Lead the architecture of data orchestration using tools like Airflow or Dagster, owning scheduling, dependency management, retries, SLAs, and end-to-end observability for critical data flows. - Set and enforce guarantees for data correctness, freshness, lineage, and recoverability, designing systems that handle rapid scale growth, partial failures, and evolving schemas without disrupting AI workloads or product experiences. - Build self-serve data platforms that let engineers, data scientists, and analysts safely discover data, define contracts, and create and operate their own pipelines with minimal friction. - Improve developer experience through better abstractions, opinionated paved paths, and standards for data modeling, testing, validation, and deployment, treating the data platform as a product used by many teams. - Drive architectural decisions across storage, compute, orchestration, and data APIs, partnering closely with product engineering and data science to align the data ecosystem with Perplexity’s roadmap. - Mentor engineers, review designs, and raise the technical bar for data infrastructure through thoughtful feedback, documentation, and hands-on collaboration. QUALIFICATIONS - 5+ years (Senior) or 8+ years (Staff) of software engineering experience. - Strong experience building production data infrastructure systems. - Hands-on experience with batch and/or streaming data processing at scale. - Deep familiarity with data orchestration systems (Airflow, Dagster, or similar). - Proficiency in Python and at least one additional backend language (Go, TypeScript, etc.). - Strong systems thinking around reliability, latency, cost, and complexity tradeoffs. - Experience supporting ML/AI workflows, training pipelines, or evaluation systems. - Familiarity with data quality, lineage, observability, and governance tooling. - Prior ownership of internal platforms used by many teams. If you’re excited about this role, we encourage you to apply even if your experience doesn’t match every qualification listed above.

Location: San Francisco; Palo Alto; London; Berlin; Belgrade; New York City ABOUT THE ROLE The Cloud Infrastructure team owns the foundational cloud primitives and deployment models that power Perplexity's products, from multi-tenant public cloud to single-tenant and on-premises solutions for enterprise customers. As Perplexity grows its Computer and Enterprise products, this team builds and operates the security, isolation, and compliance layers that customers depend on. We provide the deployment topologies, multi‑region infrastructure, and core services that enable Perplexity to run reliably and efficiently for both consumer traffic and large enterprises. KEY RESPONSIBILITIES - Own the roadmap and technical strategy for agent-driven cloud infrastructure management. - Design and operate Perplexity’s cloud networking fabric, including VPC architectures, private connectivity, and peering with hyperscalers and neocloud providers to support low-latency, high-throughput AI workloads. - Architect and scale compute platforms (Kubernetes/EKS, autoscaling groups, and mixed CPU/GPU fleets) to efficiently serve online request traffic and background workloads across regions. - Build and maintain secure, isolated deployment topologies for multi-tenant, single-tenant, and customer‑owned cloud (BYOC) environments, including cross-account networking, identity, and policy guardrails. - Implement and evolve multi-region strategies for availability, failover, and data locality, including traffic routing, regional capacity planning, and disaster recovery playbooks. - Partner with security to deliver enterprise controls such as BYOK/KMS integrations, network isolation, and auditability required for regulated customers. - Develop automation, tooling, and runbooks that make day‑2 operations (provisioning, upgrades, incident response) predictable and repeatable for Perplexity products across all environments. QUALIFICATIONS - Deep experience designing and operating cloud infrastructure on AWS (VPC design, routing, security groups, load balancing, private connectivity). - Strong background with Kubernetes/EKS and container orchestration, including multi‑cluster, multi‑region, or multi‑account setups. - Hands-on experience with cloud networking and peering (VPC peering, Transit Gateway, private link/service endpoints, or similar constructs in neoclouds). - Experience building or operating secure, isolated environments for enterprise customers (single‑tenant, BYOC, or on‑prem), ideally including BYOK/KMS integrations and compliance constraints. - Proficiency with infrastructure as code (Terraform) and strong software engineering skills in at least one of Python, Go, or Rust for automation and tooling. - Strong debugging and incident management skills across distributed systems (networking, compute, and platform layers), with a track record of driving root‑cause analysis and long‑term fixes. - 7+ years of industry experience building and operating production cloud infrastructure, including leading the design of complex systems or migrations. If you’re excited about this role, we encourage you to apply even if your experience doesn’t match every qualification listed above.

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. We're seeking an exceptional Research Scientist to join our Life Sciences team at Anthropic. Our team is building a world-class research group focused on making Claude a superhuman life sciences research assistant. This role sits at the intersection of machine learning, software engineering, and biology — you'll directly improve model capabilities on scientific tasks through post-training, evaluation design, and RL environment development. As a core member of our Life Sciences team, you'll work in a high-impact team that translates deep biological domain knowledge into model training objectives, benchmarks, and agentic workflows. You'll help establish Anthropic as a leader in AI-accelerated biology while shaping how frontier models reason about and execute computational biology tasks. This role offers a unique opportunity to shape how frontier AI models learn to do biology. You'll work alongside some of the world's best AI researchers while tackling problems that matter for human health and scientific understanding. If you're excited about turning your computational biology expertise into model capabilities, we want to hear from you. Key Responsibilities Build and ship agentic tools and integrations that let Claude execute real life science workflows — bioinformatics pipelines, database queries, analysis notebooks, literature review Design and build evaluation benchmarks that measure model capabilities on biology tasks — figure interpretation, bioinformatics, protocol reasoning, literature synthesis Work closely with product and design teams to scope, prototype, and ship features for life sciences users Partner with external biotech, pharma, and academic users to understand their workflows and turn feedback into product improvements Build and maintain the engineering infrastructure behind our biology product surface — tool scaffolding, data pipelines, eval harnesses Translate biological domain knowledge into product requirements and evaluation criteria that guide model improvement Minimum Qualifications Experience applying ML and software engineering to biological problems — computational biology, bioinformatics, protein ML, genomics, or similar Experience working in drug discovery or development at a biotech or pharma company, or conducted fundamental research in an academic setting — with an understanding of what real scientific workflows look like and where they break down Strong software engineering skills: comfortable building production-quality Python, working in large codebases, and owning infrastructure end-to-end Hands-on experience training or fine-tuning ML models (LLMs, protein language models, or other deep learning architectures) A track record of shipping computational tools or pipelines that biologists actually use Comfortable navigating ambiguity and defining problems in a rapidly evolving research environment Able to work independently while collaborating tightly with research, product, and domain-expert teams Results-oriented with a bias toward rapid iteration and measurable impact Passionate about using AI to accelerate scientific discovery while maintaining high ethical standards Preferred Qualifications 5+ years of experience applying ML and software engineering to biological problems — computational biology, bioinformatics, protein ML, genomics, or similar Ph.D. in computational biology, bioinformatics, bioengineering, CS, or a related quantitative field — or equivalent industry experience Experience with LLM post-training: RLHF, RL from verifiable rewards, SFT data curation, or eval-driven development Direct experience with therapeutic discovery pipelines — target identification, lead optimization, ADMET modeling, or clinical data analysis Familiarity with bioinformatics tooling and pipelines (sequence analysis, structure prediction, single-cell, variant calling, etc.) Experience building agentic systems or tool-use environments Published research in ML for biology, or open-source contributions to computational biology tools Fluency with biological databases (UniProt, PDB, Ensembl, NCBI) and the ability to reason about their schemas and failure modes 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: $300,000 — $320,000 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. 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: USA (Remote) Workplace: Remote Mysten Labs’ mission is to advance the internet through step-function improvements in what technology makes possible. We build foundational infrastructure and products that give people, businesses, and developers new ways to interact, transact, and create value. Our work spans on-chain finance and the emerging agent economy. Through Sui, Move, and our broader technology stack, we’re building the systems that make these experiences possible - from secure, scalable blockchain infrastructure to new ways for businesses and AI agents to interact. THE ROLE We’re hiring a Senior Dealmaker to shape and lead AI partnerships for Walrus, Mysten Labs’ decentralized storage network, across the ecosystem. As AI agents take on more complex work, they need infrastructure that helps them retain context, handle sensitive information, and maintain a trustworthy record of their actions. With Walrus as the foundation for decentralized storage and persistent memory, we’re building toward that future with a broader stack that includes confidential compute—supporting product reliability and compliance as agents operate in the real world. Your job is to determine where Walrus and these complementary capabilities can create the greatest value, build relationships with the right partners, and structure agreements that lead to meaningful integrations and adoption. You’ll focus on foundation model companies, AI platforms, data platforms, and adjacent infrastructure providers. Working closely with the Head of Partnerships and Walrus product and engineering leadership, you’ll help set partnership priorities and independently lead complex opportunities from initial thesis through implementation. This is a senior individual contributor role with substantial ownership, requiring strategic judgment, commercial creativity, and hands-on execution. WHAT YOU’LL DO - Shape our AI partnership strategy. Develop a clear perspective on where Walrus can become essential infrastructure for AI applications and agents. Identify the partners, use cases, and market developments that should guide our investment of time and resources. - Originate consequential partnerships. Build relationships with founders, executives, and technical decision-makers at foundation model companies, AI platforms, agent frameworks, data platforms, and adjacent infrastructure providers. Create opportunities before there is an established partnership motion. - Define the opportunity alongside the partner. Understand how partners build, what their customers need, and where our technology can solve a meaningful problem. Work with product and engineering leadership to shape joint offerings, integration proposals, and commercial models. - Structure and close complex deals. Lead negotiations involving technical integrations, joint product development, distribution, and commercial agreements. Navigate competing priorities and create structures that give both organizations a compelling reason to commit. - Deliver integrations and adoption. Own relationships beyond signing. Align teams on scope, resources, and milestones; resolve obstacles; and keep partnerships moving toward implementation, launch, and sustained usage. - Influence across the organization. Bring partner and market insights into product, engineering, marketing, and leadership discussions. Make clear recommendations, surface tradeoffs, and build alignment around opportunities that require investment across teams. - Establish a repeatable approach. Turn early wins into sharper partner selection criteria, stronger deal structures, and more effective execution. Raise the quality of partnership work through sound judgment, shared learning, and mentorship. WHAT YOU’LL HAVE - Substantial experience in strategic partnerships or business development, typically 10–15+ years, with demonstrated ownership of strategically significant relationships in AI, data infrastructure, or developer platforms. - Deep engagement in the AI ecosystem, including strong relationships with founders, executives, and product and technical leaders at relevant companies. - A proven record of independently originating, structuring, negotiating, and closing complex partnerships that produced meaningful integrations, joint offerings, distribution, or adoption. - The judgment to identify which opportunities deserve investment, articulate a compelling partnership thesis, and walk away when the strategic or commercial fit is weak. - Strong product instincts and technical fluency. You can engage engineers on architectures and agentic workflows, uncover a partner’s underlying needs, and connect technical capabilities to business value. - Credibility in the startup community and firsthand experience building with limited structure, resources, or established processes. You can point to opportunities you personally created and brought to market. - The ability to think at enterprise scale while executing with startup urgency. You’re comfortable navigating executive stakeholders and handling the details needed to get an integration live. - A track record of influencing senior stakeholders and aligning product, engineering, legal, and commercial teams without relying on formal authority. - Creative commercial judgment, a bias for action, and accountability for outcomes through implementation and adoption. - Curiosity about decentralized infrastructure and the ability to become fluent quickly. Prior Web3 experience is welcome; substantial AI ecosystem experience is essential. - High ethical standards, direct communication, and comfort adapting as the product and market evolve. - Ability to travel approximately 20% of the time, including internationally. Location: San Francisco Bay Area preferred. We may consider exceptional candidates elsewhere who are deeply embedded in the AI ecosystem. Employment is contingent upon the successful completion of a background check, which may include verification of employment history, education credentials, criminal history, and other relevant information. Regarding the recent rash of technology job scams: Be aware that emails from genuine Mysten Labs group recruiters will always come from the @mystenlabs.com http://mystenlabs.com domain or related subdomains (e.g., mystenlabs.com/careers http://mystenlabs.com/careers). Remember: you can always verify positions on our job boards at www.mystenlabs.com/careers http://www.mystenlabs.com/careers. To support an efficient and fair hiring process, we may use technology-assisted tools, including artificial intelligence (AI), to help identify and evaluate candidates. All hiring decisions are ultimately made by human reviewers. Our team is remote first and we are hiring across the world. Here at Mysten Labs, you’ll be joining a world-class team with tremendous growth potential as we bring the next billion users to web3. We raised a $300M Series B round from top Silicon Valley led venture funds like Jump Crypto, Andreessen Horowitz (a16z), Binance Labs, Redpoint, Lightspeed, Coinbase Ventures, Electric Capital, Standard Crypto, NFX, Slow Ventures, Scribble Ventures, Samsung Next, Lux Capital, among other investment firms and strategic partners. Come join us and build the future of web3!

Location: New York City, NY; San Francisco, CA; Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an early member of our Safeguards Data Science and Analytics team, you will play an instrumental role in our company’s mission of building safe and beneficial artificial intelligence by building and scaling a data driven culture from the ground up. In this unique company, technology, and moment in history, your work will be critical to informing our product and commercial strategy as we deploy safe, frontier AI at scale to the world. You will work closely with product, engineering, policy & enforcement to define and measure key company success metrics, analyze user behavior to identify new enforcement opportunities and build a culture of developing and testing hypotheses through experimentation. You’ve worked in cultures of excellence in the past, and are eager to apply that experience to building robust and scalable systems and processes as our company goes through a phase of rapid growth. Key responsibilities Deep dive into user behavior data to provide insights on safety concerns Define core metrics that measure the team's success. Set goals, build forecasts, monitor performance, and develop actionable reporting Identify and size opportunities to improve the product, influencing product roadmap through your insights and recommendations Develop hypotheses on product changes, design controlled experiments, analyze the results, and make recommendations based on impact to key metrics Build a data driven culture from the ground up by establishing foundational data best practices and making data more accessible across the company Minimum qualifications Expertise in Python, SQL, and data visualization tools. A bias for action and urgency, not letting perfect be the enemy of the effective. A strong disposition to thrive in ambiguity, taking initiative to create clarity and forward progress. A deep curiosity and energy for pulling the thread on hard questions. Experience in turning open questions and data into concise and insightful analysis. Highly effective written communication and presentation skills. A passion for the company's mission of building helpful, honest, and harmless AI. Preferred qualifications 8+ years of experience in data science or analytics roles, preferably in an infrastructure or operations context. 3+ years of experience deeply embedding in Product teams. Experience working on safety, anti-abuse, integrity shaped problems. Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $285,000 — $380,000 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. 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: Canada Workplace: remote ABOUT YOU   Xsolla is looking for a Senior Frontend Software Developer to join a team responsible for building the platform powering all user-facing experiences. This role offers a unique opportunity to collaborate with both local and international teams, focusing on user-centric software that elevates the digital experience for Xsolla’s global audience. In this role you will have the opportunity to contribute in building high-performance frontend solutions used by game developers worldwide. This position requires strong frontend and e-commerce experience, the ability to work on complex technical initiatives, and the capability to support predictable, reliable delivery.   ABOUT US   Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. Responsibilities: Collaborate with product managers, designers, and backend engineers to translate complex requirements into intuitive user experiences. Design, build and evolve scalable, high-performance frontend web applications Participate in code reviews, share best practices, and help maintain high engineering standards within the frontend team. Work closely with DevOps to streamline CI/CD pipelines, improve deployment reliability, and enhance observability through metrics and monitoring tools. Own features end-to-end such as requirement refinement, implementation, testing, and delivery. Optimize frontend performance, focusing on loading times, rendering speed, and bundle efficiency. Ensure cross-browser and multi-device compatibility while meeting accessibility (a11y) and usability standards. Contribute to the modernization, refactoring, and continuous performance improvements to keep the platform scalable, maintainable, and aligned with product goals. Contribute and enforce engineering best practices across coding, documentation, testing, and review processes. Ensure strong automated test coverage and reliable CI/CD workflows that reduce manual effort and improve delivery predictability. Own operational excellence, including incident response, root-cause analysis, and long-term reliability improvements. Advocate for scalability, performance, security, and observability across the platform’s architecture and tooling. Identify technical risks, estimate complexity, and communicate trade-offs to leadership and stakeholders. Qualifications & Skills: At least 2+ years of experience holding a senior frontend development title. 7+ years of frontend software development experience with strong expertise in modern frontend frameworks at scale. Experience building or leading frontend development for e-commerce, gaming, or monetization platforms Extensive experience with Typescript, React, Redux or modern state management libraries. Experience with module federation, component architecture, performance optimizations, accessibility, RSC, and SSR patterns. Strong expertise in modern CSS frameworks and UX/UI design systems and principles. Solid understanding of microservices architecture and RESTful or RPC-style APIs integration and patterns. Proficiency with Node.js and MongoDB for server-side functionality. Experience with automated testing frameworks (Vitest/Jest) and end-to-end testing (Playwright/Cypress). Good understanding of bundling and compilation (e.g., webpack, rollup, vite, esbuild) Experience with CI/CD workflows (GitLab CI or similar), private registries, and secure artifact handling. Proven ability to influence technical decisions and drive change. Experience in a leadership role is a plus. Excellent interpersonal and communication skills facilitating effective collaboration with a cross functional team. Committed to writing high-quality code and continuously improving projects. Strong understanding of development best practices, including design patterns, testing methodologies, and an agile development process. Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Strong English communication skills, both written and verbal Benefits:We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.  Equal Employment Opportunity Statement: Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act. Criminal History Consideration: For the Frontend Software Engineer, we will conduct a background check that may include the following: Criminal history check Employment verification Education verification Relevance to Job Responsibilities: The background check is relevant to this position because of the following role responsibilities: Accessing confidential company data Ensuring compliance with regulatory requirements Rights Under the Fair Chance Act: Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com.By submitting the following job application form, you consent to Xsolla processing your data for career-related inquiries and potential employment opportunities. We process your data in accordance with this Xsolla Privacy Notice for Job Applicants. Please direct any inquiries regarding your data privacy to careers@xsolla.com.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers people to perform at a higher level through a deeper understanding of their bodies and daily lives. We handle massive amounts of data continuously streaming up to the cloud from people improving their health and wellness to the world’s greatest sports teams and athletes mandating a fault-tolerant and highly available product. The Connectivity Software Team builds the critical link between WHOOP hardware, the iOS app, and the cloud. As an iOS Software Engineer on this team, you’ll design and implement the software that enables WHOOP’s wearable sensors to communicate seamlessly with the mobile platform. You’ll develop and optimize connectivity experiences that are robust, efficient, and invisible to the member — ensuring reliable data flow across our entire ecosystem RESPONSIBILITIES: - Architect, design, implement, and maintain iOS application components that interface directly with WHOOP hardware over Bluetooth Low Energy (BLE), Wi-Fi, or other communication protocols. - Define and evolve the iOS software architecture and communication protocols, maintain comprehensive documentation, and drive consistency across iOS and Android implementations. - Drive continuous improvement of performance, power efficiency, and reliability in the WHOOP connectivity software layer including background and system-level iOS services to enable reliable device connectivity, synchronization, and data transfer. - Champion strong software architectural principles for testable, scalable, maintainable software on your own team and across the organization. - Own and maintain a clear, prioritized backlog focused on code health, technical debt reduction, and testability improvements. - Raise the bar and champion higher engineering standards through prompt code review, increased test coverage, and improved design practices. Hold teammates accountable. - Represent the Connectivity iOS team in cross-functional settings such as bug triage, product syncs, firmware coordination, and guild representation. - Participate in the release process including getting the app built, managing build variants, signing, sending and testing through Firebase, and submitting to the App store QUALIFICATIONS: - BS or MS in Computer Science, Electrical Engineering, or a related technical field, or equivalent experience. - 5+ years of professional iOS software engineering experience with a solid foundation in Swift, iOS system APIs, concurrency, and memory management. - Hands-on experience with Combine and background task processing for non-UI iOS features. - Demonstrated examples influencing other engineers in the application of architectural and platform-based software design principals to build scalable, modular, testable software.  - Experience debugging and diagnosing issues across complex or distributed systems (for example: firmware, mobile, backend) is a strong plus. - Excellent collaboration and communication skills, driving cross-functional problem solving, tradeoff definition, and optimization. - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions. Learn more about our Software Org and how to be successful in your engineering career at WHOOP via our Career Framework https://engineering.prod.whoop.com/careerframework.   This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility.  It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.   The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.   At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.   The U.S. base salary range for this full-time position is $170,000-$230,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.    In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.   These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.   Learn more about WHOOP https://www.whoop.com/us/en/careers/?srsltid=AfmBOopKmph9d0DLBlogZu8mx6do0dzjNS8eJlfc4PQqQtdU6F8DGKBg.

Location: 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. As the EMEA AE Lead, Beneficial Deployments at Anthropic, you'll build and lead a foundational sales team driving Claude adoption across mission-driven organisations in Europe, the Middle East, and Africa. You'll leverage your consultative sales expertise and passion for social impact to secure strategic partnerships with nonprofits, foundations, INGOs, educational institutions, and social enterprises across the EMEA market. This is a player-coach role requiring someone who can personally close complex deals while building a high-performing regional team. You'll operate with significant autonomy across time zones while maintaining tight alignment with global strategy. Our team and verticals are evolving rapidly—the ideal candidate thrives in ambiguity, is energised by building from scratch, and can flex across changing priorities as we learn what works. The ideal candidate brings deep experience in the EMEA nonprofit or social impact technology landscape, established relationships with mission-driven institutions, and a proven track record of building teams that drive revenue and mission impact simultaneously. Role Focus This role will lead EMEA sales efforts across Beneficial Deployments verticals, which currently include: Nonprofits & Foundations: INGOs, charitable trusts, foundations, and social enterprises across Europe, Middle East, and Africa. Navigate federated organisational structures, EU/UK regulatory requirements, and diverse funding mechanisms. Emerging Markets: Partnerships in Africa and India with organisations driving social impact at scale. Note: Verticals and priorities may evolve as the team learns and grows. We're looking for someone comfortable with a shifting remit who can help shape what this role becomes. Responsibilities Win new business and drive revenue for Anthropic within EMEA mission-driven organisations. Navigate complex multi-stakeholder ecosystems to reach decision-makers, educate them about Claude, and help them succeed with Anthropic Build and lead a regional team supporting EMEA customers, both inbound and outbound. Establish team structure, hiring priorities, and operational processes for scaling—while rolling up your sleeves to close deals yourself Design and execute innovative sales strategies tailored to diverse EMEA contexts: nonprofit budget cycles and grant timelines, foundation giving patterns, and varying regulatory environments across jurisdictions Navigate complex stakeholder ecosystems including INGO executive teams, foundation programme officers, trustees, executive directors, and IT departments to build consensus Develop and maintain relationships with key EMEA ecosystem players: nonprofit networks (Bond, NCVO, European Foundation Centre), education networks, and implementation partners Inform product roadmaps by gathering feedback from EMEA nonprofit and education users. Provide insights on regional requirements including data sovereignty, language support, and compliance needs Continuously refine the EMEA sales methodology by incorporating learnings into playbooks, templates, and best practices. Adapt global processes for regional contexts while contributing insights back to the global team Ensure all sales activities comply with relevant data protection regulations (GDPR, UK GDPR) and address customer concerns about data sovereignty, AI ethics, and responsible deployment Partner effectively with SF-based teams across time zones, maintaining regular cadence with the Beneficial Deployments Lead and cross-functional stakeholders while operating with significant regional autonomy Help shape team processes and culture as we scale from 1 to N You May Be a Good Fit If You Have 8+ years of B2B sales experience in nonprofit technology, EdTech, or social impact sectors, preferably in EMEA SaaS or emerging technologies Track record of managing complex sales cycles within nonprofits, INGOs, foundations, or educational institutions, securing strategic deals by understanding both mission requirements and technical needs Experience building and scaling sales teams, with proven ability to recruit, develop, and retain top talent while operating across multiple time zones and cultural contexts Deep understanding of nonprofit or education sector operations, including INGO federated structures, European foundation giving, UK charity sector dynamics, and/or higher education procurement Demonstrated ability to navigate diverse stakeholder ecosystems including trustees, executive directors, programme officers, and procurement committees A scrappy mentality—comfortable wearing multiple hats, building from scratch, driving clarity in ambiguous situations, and doing whatever it takes to further the mission Strong understanding of GDPR and UK data protection, with ability to address customer concerns about AI ethics and responsible deployment Proven experience exceeding revenue targets while operating autonomously, managing an evolving pipeline across multiple market segments and time zones Excellent communication skills with ability to adapt style across cultural contexts Fluency in English required; proficiency in French valued given Francophone Africa coverage; additional European languages a plus A genuine passion for social impact and experience with or commitment to advancing mission-driven work through technology Strong Candidates May Also Have Active involvement in the EMEA nonprofit or education community through board service, advisory roles, or sector leadership Existing relationships with major INGOs (Save the Children, Oxfam, IRC, MSF, CARE, World Vision), foundations, or educational institutions Familiarity with nonprofit data privacy requirements, AI ethics frameworks, and responsible technology deployment Track record of building strategic partnerships with foundations or philanthropic advisors Experience presenting at nonprofit conferences (Bond Conference, NCVO Conference, Skoll World Forum) or education forums Understanding of specific verticals: education technology, digital health, financial inclusion/economic mobility programs Logistics Location: London. Must be able to travel within EMEA (up to 30%) and to SF headquarters quarterly. Travel: Regular travel within EMEA for customer meetings, conferences, and team gatherings; quarterly travel to SF for alignment and planning. 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: £280,000 — £330,000 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. 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: Office Based - Taipei, Taiwan Canonical is a growing international software company that works with the open-source community to deliver Ubuntu, “the world’s best free software platform”. The Commercial Engineering Quality Assurance (QA) team works with all the engineering teams in Canonical, OEM and ODM customers, to bring Ubuntu directly to millions of users by delivering certified Ubuntu laptop, desktop, IoT and other computing devices. As a Software QA engineer, you will join the team responsible for our strategy for quality coordination and testing. You will be a quality expert with extensive experience establishing quality processes from the ground up. You will understand the tools and techniques used to introduce new products, and will work with teams across the company to drive quality improvements through the entire development cycle. As a Software Quality Assurance Engineer you will: Plan, create and manage the overall Quality Planning strategy and document Improve our automated test capability with design and code contributions Perform automated and manual testing of Ubuntu Desktop, Server and Core on varies latest hardware. Suggest solutions to identified product problems Collaborate with the Project team to ensure consistent project execution Identify quality assurance process bottleneck and suggest improvements Oversee continuous improvement projects Collect quality data Establish proactive measures to improve the quality and reliability of the Ubuntu platform Prepare time estimates and schedule for testing activities Identify, isolate, and document bugs clearly and concisely in the bugs database Work with development teams across multiple projects to build efficient, effective automated testing Communicate effectively with colleagues in a variety of time zones around the world Triage test reports and customer bugs The successful Software Quality Assurance Engineer will have : Experience with the Linux desktop, and related technologies. Ubuntu experience would be a plus Solid grasp of commercial Software QA practices and ideas on how to integrate them into Linux Community standards Experience with common scripting languages, including Shell script, Python or JavaScript Comfortable with online communication and collaboration such as mailing lists, Mattermost, wiki Excellent logic, problem solving, and troubleshooting skills Strong written and spoken communication skills in English Ability to be productive in a globally distributed team Ability to pick up new technologies and achieve high effectiveness quickly What Canonical Offers: Learning and development Annual compensation review Recognition rewards Annual leave Priority Pass for travel Annual health check Canonical believes a diverse workforce enhances our ability to deliver world class software and services which meet the world’s computing needs. We are committed to ensuring equal employment opportunities to all qualified individuals. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

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 Team The SRE team is dedicated to deeply integrating large language models (LLMs), AI Agents, and engineering platform capabilities to build an intelligent application system for R&D, operations, stability, and business scenarios. By creating an AI application architecture that is observable, evaluable, governable, and continuously evolving, the team is driving the company's shift from "tool-assisted" to "intelligent collaboration," improving R&D efficiency, system stability, fault diagnosis efficiency, and the quality of business decisions. What You’ll Be Doing Design and build AI Harness capabilities for SRE / DevOps scenarios, including fault detection, change analysis, capacity risk identification, automated inspection, drill evaluation, and recovery recommendations. Drive the development of an automated RCA (Root Cause Analysis) system, combining logs, metrics, distributed tracing, events, changes, topology, and other data to achieve root cause analysis, impact scope assessment, and post-incident review support. Build AIOps platform capabilities, including intelligent alert noise reduction, anomaly detection, event correlation, trend prediction, fault attribution, and automated closed-loop remediation. Collaborate with R&D, SRE, platform, data, and business teams to embed AI capabilities into Code Review, CI/CD, GitOps, DevOps, incident response, and stability governance processes. What We Look For In You Bachelor's degree or above in Computer Science or a related field, with 8+ years of experience in R&D, architecture, or platform engineering; experience building AI applications, SRE, AIOps, or DevOps platforms is preferred. Strong software architecture skills, familiar with microservices architecture, distributed systems, high-availability design, service governance, observability, and platform engineering. Familiar with LLM application development; understanding of core technologies such as LLM, RAG, Embedding, vector databases, Agents, Function Calling / Tool Calling, and Prompt Engineering. Understanding of the production challenges of AI applications, including hallucination control, result evaluation, permission boundaries, data security, cost control, observability, and failure fallback mechanisms. Experience delivering AI Agent or intelligent assistant products, able to design complex task decomposition, multi-tool invocation, multi-turn reasoning, context management, and human-machine collaboration workflows. Familiar with RCA or AIOps capability development, including log analysis, metric anomaly detection, distributed tracing, event correlation, alert noise reduction, topology analysis, and root cause localization. Proficient in at least one mainstream development language, such as Java, Python, Go, or TypeScript, with strong engineering implementation and system design skills. Familiar with cloud-native technology stacks and common middleware, such as Kubernetes, Docker, Kafka, Redis, MySQL, Elasticsearch, Prometheus, Grafana, OpenTelemetry, etc. Strong complex problem analysis skills and holistic architectural thinking, able to drive problem-solving from business, platform, process, and organizational collaboration perspectives. Ability to communicate in both Chinese and English is preferred as the role requires collaborating with cross-region stakeholders 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 dependents 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: Vancouver, Canada; Toronto, Canada Top 3 Reasons To Join Us Competitive Salary 100% Remote Working on the latest tech for the Insurtech Market Leader About Us At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone. We are a leading global no-code insurance platform for health, life, and P&C We’re the winner of the Insurtech of the Year in all of Asia and other awards globally We work with insurance enterprise clients such as AXA, Bupa, MSIG, Dai-ichi, Bank of China Group Insurance, and many more We're an international, diverse team of over 120 people with 30 nationalities and team members working remotely from all over the world We are fully funded and backed by reputable VC funds and strategic institutional investors We have a global presence in Asia, EMEA and the Americas We’ve grown our annualized revenue by over 30x since January 2021 We’re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world and a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world About the Role As a Digital Insurance Project Manager, your core responsibility will be to oversee and manage the implementation of new and/or existing projects within CoverGo's operations. This role presents an exciting opportunity for an individual with a strong drive to lead transformative projects in the insurtech industry. What You Will Do Engage and manage relationships with clients and stakeholders Lead project planning sessions with the internal team and client's staff Support solution proposals for client pursuits, proposals, and PoCs Participate in proposal and POC processes (i.e. design, submission, and review) Support the creation of contracts and related communication with clients Identify and help secure growth opportunities for existing clients Manage project progress and adapt work as required Ensure projects meet deadlines Manage relationships with clients and stakeholders Host regular/weekly project review and create reports with key metrics about team and project status using company standard metrics Oversee all incoming and outgoing project documentation Identify and manage issues, risks, assumptions, and dependencies Continuously optimize and improve processes and the overall approach where necessary What We Need Bachelor's degree in computer science or a related technical field is a plus Atleast 5 years experience as a Project Manager Atleast 3 years experience in insurance Insurance domain knowledge is a must Strong client facing experience is a must Technical skills are a plus Has experience seeing projects through the full life cycle Excellent analytical skills and problem-solving skills Strong interpersonal skills and extremely resourceful Proven ability to complete projects according to outlined scope, budget, and timeline Self-motivated and able to work independently Able, willing, and excited to work in a fast-paced collaborative startup environment Must be based in Canada Why You'll Love Working Here Fully Remote Flexible Leave International Environment Competitive renumeration package Performance Bonus Company activities and events Learning and development plan Remote work allowance CoverGo Company Video By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s Privacy Notice and you consent to the processing of your data as part of this application.

Location: Al Hofuf, Saudi Arabia Eram Talent is seeking a skilled CIP / Sterilization Operator to join a reputable company in Saudi Arabia. The CIP (Clean-In-Place) / Sterilization Operator will be responsible for executing cleaning and sterilization procedures for production equipment and pipelines to ensure aseptic conditions are maintained according to industry standards. This role is vital for maintaining product quality, safety, and hygiene within manufacturing environments such as food, beverage, pharmaceutical, or biotech facilities. Responsibilities Operate CIP system according to standard operating procedures (SOPs). Monitor cleaning cycles, temperatures, chemical concentrations, and flow rates. Prepare cleaning solutions and ensure proper handling of chemicals. Inspect equipment before and after cleaning for proper sanitation. Record cleaning data accurately in logs or digital systems. Report any malfunctions, deviations, or safety concerns immediately. Collaborate closely with production, quality control, and maintenance teams to coordinate cleaning schedules and troubleshoot issues. Adhere to safety, hygiene, and environmental regulations at all times. Requirements Diploma or degree in Chemical Engineering, Biotechnology, Food Technology, or related field preferred. Minimum 2 years of experience operating CIP and sterilization systems in food, pharmaceutical, or biotech industries. Strong knowledge of CIP processes, sterilization techniques, and cleaning validation protocols. Ability to read and follow SOPs and technical documentation accurately. Good mechanical aptitude and troubleshooting skills for equipment operation. Attention to detail and commitment to maintaining hygiene and safety standards. Ability to work in shifts and in a team environment. Basic computer skills for data documentation and reporting.

Location: Singapore 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 Regional Research Economist at Anthropic, you will work to collaborate with governments, academia, industry, and civil society in your region to measure and understand AI's effects on the economy and explore research-driven policy interventions. You will contribute to the development of the Anthropic Economic Index and its extension to generate regionally-relevant insights, establish new methodologies to measure the usage, diffusion, and impact of AI throughout the economy, and work to broaden access to and usage of the insights generated by the Index. You will use frontier methods in econometrics, machine learning, and structural estimation. Such rigour will drive impact, shaping both policy discussions externally and informing Anthropic’s internal business and product decisions. Our team combines rigorous empirical methods with novel measurement approaches. We're building first-of-its-kind datasets tracking AI's impact on labor markets, productivity, and economic transformation. Using our privacy-preserving measurement system ( Clio ), we analyze millions of real-world AI interactions to understand how AI augments and automates work across different occupations and tasks. Key responsibilities Build and maintain relationships with academic institutions, policy think tanks, and other research partners as the primary point of contact for these organizations on economic impact work in your region Advance research collaborations that answer country- or regional-specific economic impact questions Translate research insights into actionable recommendations for policy discussions Make fundamental contributions to the development and expansion of the Anthropic Economic Index , including country/regional-specific analysis Design and collaborate on empirical research on AI's economic effects with governments, academia, industry, and civil society in your region Develop new methodological approaches, in collaboration with partners in your region, for studying AI's impact on: Labor markets and the future of work Productivity and task transformation Economic inequality and displacement Industry-specific disruption and adaptation Aggregate economic trajectories (GDP, productivity, unemployment) under varying AI-adoption scenarios Work cross-functionally with other technical teams to improve our measurement infrastructure and data collection Amplify external engagement through research publications, policy briefs, and presentations to diverse stakeholders Minimum qualifications PhD in Economics Strong track record of empirical research, particularly studies combining novel data sources and economic theory or those implementing frontier methods in causal inference and machine learning Demonstrated experience working in and relevant relationships across the region Experience relevant to the study of AI’s impact on the economy, including: Labor market analysis and occupational change Task-based approaches to technological transformation Large-scale data analysis and econometric methods Large language models for social science research Policy-relevant economic research Experimental and quasi-experimental methods for causal inference Macroeconomic modeling and time series forecasting Agent-based modeling or large-scale simulation Technical skills including: Proficiency in Python, R, SQL, or similar tools for large-scale data analysis Experience working with novel datasets and measurement systems Comfort learning new technical tools and frameworks Demonstrated ability to: Lead complex research projects from conception to publication Communicate technical findings to diverse audiences Build relationships across academic, policy, and industry communities Strong interest in ensuring AI development benefits humanity Comfort working with AI systems and ability to think critically about their capabilities and limitations Representative projects How Australia Uses Claude: Findings from the Anthropic Economic Index Anthropic Economic Index Report: Economic Primitives Anthropic Economic Index Report: Uneven Geographic and Enterprise AI Adoption Estimating AI productivity gains from Claude conversations The Anthropic Economic Index Additional information For this role, we're looking for candidates who can combine rigorous economic analysis with novel measurement approaches to understand AI's transformative effects on the economy. The ideal candidate will be comfortable working at the intersection of empirical economics, technological change, and policy impact. 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. 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: 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 As a Regional Research Economist at Anthropic, you will work to collaborate with governments, academia, industry, and civil society in your region to measure and understand AI's effects on the economy and explore research-driven policy interventions. You will contribute to the development of the Anthropic Economic Index and its extension to generate regionally-relevant insights, establish new methodologies to measure the usage, diffusion, and impact of AI throughout the economy, and work to broaden access to and usage of the insights generated by the Index. You will use frontier methods in econometrics, machine learning, and structural estimation. Such rigour will drive impact, shaping both policy discussions externally and informing Anthropic’s internal business and product decisions. Our team combines rigorous empirical methods with novel measurement approaches. We're building first-of-its-kind datasets tracking AI's impact on labor markets, productivity, and economic transformation. Using our privacy-preserving measurement system ( Clio ), we analyze millions of real-world AI interactions to understand how AI augments and automates work across different occupations and tasks. Key responsibilities Build and maintain relationships with academic institutions, policy think tanks, and other research partners as the primary point of contact for these organizations on economic impact work in your region Advance research collaborations that answer country- or regional-specific economic impact questions Translate research insights into actionable recommendations for policy discussions Make fundamental contributions to the development and expansion of the Anthropic Economic Index , including country/regional-specific analysis Design and collaborate on empirical research on AI's economic effects with governments, academia, industry, and civil society in your region Develop new methodological approaches, in collaboration with partners in your region, for studying AI's impact on: Labor markets and the future of work Productivity and task transformation Economic inequality and displacement Industry-specific disruption and adaptation Aggregate economic trajectories (GDP, productivity, unemployment) under varying AI-adoption scenarios Work cross-functionally with other technical teams to improve our measurement infrastructure and data collection Amplify external engagement through research publications, policy briefs, and presentations to diverse stakeholders Minimum qualifications PhD in Economics Strong track record of empirical research, particularly studies combining novel data sources and economic theory or those implementing frontier methods in causal inference and machine learning Demonstrated experience working in and relevant relationships across the region Experience relevant to the study of AI’s impact on the economy, including: Labor market analysis and occupational change Task-based approaches to technological transformation Large-scale data analysis and econometric methods Large language models for social science research Policy-relevant economic research Experimental and quasi-experimental methods for causal inference Macroeconomic modeling and time series forecasting Agent-based modeling or large-scale simulation Technical skills including: Proficiency in Python, R, SQL, or similar tools for large-scale data analysis Experience working with novel datasets and measurement systems Comfort learning new technical tools and frameworks Demonstrated ability to: Lead complex research projects from conception to publication Communicate technical findings to diverse audiences Build relationships across academic, policy, and industry communities Strong interest in ensuring AI development benefits humanity Comfort working with AI systems and ability to think critically about their capabilities and limitations Representative projects How Australia Uses Claude: Findings from the Anthropic Economic Index Anthropic Economic Index Report: Economic Primitives Anthropic Economic Index Report: Uneven Geographic and Enterprise AI Adoption Estimating AI productivity gains from Claude conversations The Anthropic Economic Index Additional Information For this role, we're looking for candidates who can combine rigorous economic analysis with novel measurement approaches to understand AI's transformative effects on the economy. The ideal candidate will be comfortable working at the intersection of empirical economics, technological change, and policy impact. 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: £195,000 — £245,000 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. 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.