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Location: AU: Sydney (45 Clarence St) Workplace: Hybrid ENGINEERING MANAGER - APPLIED AI THE ROLE AND ITS IMPACT You will lead and grow the Internal AI Accelerator team as it expands from its current core to a fully formed engineering squad. You will own the strategy, delivery, and roadmap for how Xero designs and delivers agentic AI workflows that eliminate manual toil, speed up decision-making, and generate measurable productivity gains. This means working directly with business leaders across G&A, Finance, P&C, and IT functions to co-build reusable AI patterns and governance frameworks that last. You will shape how Xero thinks about AI delivery long after your tenure, building playbooks and reference architectures that other teams can pick up and run with. What your engineers build goes into production and real people rely on it. One month you are partnering with finance, the next you are embedded in IT. You set the pace, you unblock the path, and you hold your team accountable to shipping. THE TEAM AND HOW THEY CONNECT The Internal AI Accelerator team is a small, high-impact crew of engineers embedded across Xero's business units. They partner directly with product, engineering, and business teams to design and ship AI workflows in weeks, not months. The team operates with a direct line to senior stakeholders and a genuine mandate to move fast. Together, you are genuinely curious about what works and what doesn't, learning openly from every project and sharing what you discover. THE TEAM IS CURRENTLY WORKING ON The team is expanding from a proof-of-concept phase into building at scale. You will focus on growing the engineering capability across multiple workstreams. Initially, your priorities will be: - Scaling agentic AI delivery across multiple business domains (finance, HR, support, operations) - Building reusable patterns, platforms, and governance frameworks that other teams can adopt - Designing and implementing the technical architecture for enterprise AI deployments - Establishing best practices for AI safety, evaluation, and operations at scale WHERE AND HOW YOU CAN WORK This role is based in Sydney. You will work in a hybrid model with core collaboration days in the office. Xero supports flexible ways of working, and regular "boost days" bring our ANZ teams together for connection and planning. HERE ARE SOME OF THE THINGS WE ARE LOOKING FOR - You bring solid engineering credibility, ideally from shipping production software at scale, so you can make sound technical decisions and earn your team's respect without needing to code day-to-day. - Your approach to strategy is pragmatic: you can move fast without all the answers, turning vague problems into clear scope, and pivoting when the situation changes. - You will Go Bold in how you lead: giving your team ownership, pushing back on processes that slow you down, and creating space for innovation alongside delivery. - You demonstrate genuine curiosity about your people and a commitment to coaching them up. You leave your team knowing more than when they joined. - You show comfort bridging technical and non-technical worlds, translating between engineers and business stakeholders without losing nuance on either side. Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.

• Manual & automated testing. • Design, execute and automate test cases.

Location: APAC / Philippines / Remote / Workplace: remote About the Company Born from groundbreaking research at Columbia University and Yale University, CertiK is a leading Web3 security company focused on securing blockchain protocols, smart contracts, and decentralized applications through cutting-edge security research, formal verification, and AI-powered technology. Founded in 2017 and headquartered in New York City, CertiK provides end-to-end security solutions including smart contract audits, penetration testing, on-chain monitoring, incident response, and compliance services for some of the largest projects in the digital asset ecosystem. Today, CertiK supports thousands of enterprise clients and Web3 projects globally, with a distributed international team spanning North America, Asia, and Europe. The company is backed by leading investors including Coatue, Goldman Sachs, Insight Partners, and Sequoia Capital, and has been recognized by organizations such as the World Economic Forum and CB Insights for its contributions to blockchain security innovation. About the role CertiK works with banks, regulators and regulated financial institutions that adopt digital assets. We build regulatory technology for these markets, and we are hiring a lead product manager to own what we build next for these clients. You will gather client needs directly and through our client-facing consultants, turn them into a clear, prioritized roadmap, and present our products to clients, prospects and regulators in North America and, when needed, abroad. Inside the company, you represent the customer. What you'll do Run discovery with clients and prospects, on site and remotely, and work closely with the solutions consultants to set the agenda for what they learn in the field Build and run a discovery channel of your own: a panel of compliance, risk and operations practitioners at banks, VASPs and regulators for structured (including paid) interviews, so requirements never depend on a single client Convert client conversations and consultant findings into actionable, prioritized product and feature decisions, with the reason behind each request documented, and defend the ranking to leadership Present CertiK's products and services to client teams, prospects and regulators in demos, workshops and tender presentations Join Business Development and consultants on key client visits, primarily in the US, with occasional travel to Europe, the Middle East and other markets Own the roadmap conversation with the CEO, Business Development and Engineering Requirements 5–8 years in B2B product management, ideally in fintech, regtech, compliance software or at a regulated financial institution Domain experience in financial crime, AML or transaction monitoring, blockchain intelligence, or risk and surveillance products, whether as a product manager or from inside a compliance function Has led complete product cycles from discovery to launch in a regulated or enterprise domain, with demonstrated ability to identify the underlying need behind a client's stated request and show how it changed what was built Native or fully proficient English, with professional presentation skills to senior compliance, risk and regulatory audiences Established prioritization framework and a record of turning customer input into shipped features Sufficient technical fluency to challenge engineering decisions and hold a position under pushback Directs discovery through others as well as first-hand: part of the customer input comes via consultants, and the role sets their agenda Regular travel within the US and international travel as required Bonus points Prior product experience at a blockchain intelligence or crypto compliance platform Familiarity with FATF, Travel Rule, sanctions or MiCA-type requirements as they apply to digital assets Familiarity with US, UK or EU digital asset regulation Experience working with regulators or on regulatory tenders This role must be performed outside the United States. We are unable to consider candidates who will work from within the U.S.

Location: New York, NY / Seattle, WA / San Francisco Bay Area, CA / Remote Workplace: remote About the Company Born from groundbreaking research at Columbia University and Yale University, CertiK is a leading Web3 security company focused on securing blockchain protocols, smart contracts, and decentralized applications through cutting-edge security research, formal verification, and AI-powered technology. Founded in 2017 and headquartered in New York City, CertiK provides end-to-end security solutions including smart contract audits, penetration testing, on-chain monitoring, incident response, and compliance services for some of the largest projects in the digital asset ecosystem. Today, CertiK supports thousands of enterprise clients and Web3 projects globally, with a distributed international team spanning North America, Asia, and Europe. The company is backed by leading investors including Coatue, Goldman Sachs, Insight Partners, and Sequoia Capital, and has been recognized by organizations such as the World Economic Forum and CB Insights for its contributions to blockchain security innovation. About the role CertiK works with banks, regulators and regulated financial institutions that adopt digital assets. We build regulatory technology for these markets, and we are hiring a lead product manager to own what we build next for these clients. You will gather client needs directly and through our client-facing consultants, turn them into a clear, prioritized roadmap, and present our products to clients, prospects and regulators in North America and, when needed, abroad. Inside the company, you represent the customer. What you'll do Run discovery with clients and prospects, on site and remotely, and work closely with the solutions consultants to set the agenda for what they learn in the field Build and run a discovery channel of your own: a panel of compliance, risk and operations practitioners at banks, VASPs and regulators for structured (including paid) interviews, so requirements never depend on a single client Convert client conversations and consultant findings into actionable, prioritized product and feature decisions, with the reason behind each request documented, and defend the ranking to leadership Present CertiK's products and services to client teams, prospects and regulators in demos, workshops and tender presentations Join Business Development and consultants on key client visits, primarily in the US, with occasional travel to Europe, the Middle East and other markets Own the roadmap conversation with the CEO, Business Development and Engineering Requirements 5–8 years in B2B product management, ideally in fintech, regtech, compliance software or at a regulated financial institution Domain experience in financial crime, AML or transaction monitoring, blockchain intelligence, or risk and surveillance products, whether as a product manager or from inside a compliance function Has led complete product cycles from discovery to launch in a regulated or enterprise domain, with demonstrated ability to identify the underlying need behind a client's stated request and show how it changed what was built Native or fully proficient English, with professional presentation skills to senior compliance, risk and regulatory audiences Established prioritization framework and a record of turning customer input into shipped features Sufficient technical fluency to challenge engineering decisions and hold a position under pushback Directs discovery through others as well as first-hand: part of the customer input comes via consultants, and the role sets their agenda Regular travel within the US and international travel as required Bonus points Prior product experience at a blockchain intelligence or crypto compliance platform Familiarity with FATF, Travel Rule, sanctions or MiCA-type requirements as they apply to digital assets Familiarity with US, UK or EU digital asset regulation Experience working with regulators or on regulatory tenders Compensation: If the role is performed in the US, the target annual compensation is $120,000 - $180,000. The exact compensation at which this job is filled will be determined by the skills and experience of qualified candidates.   #blockchain #startups #hiring   CertiK accepts applications for this position on an ongoing basis.   CertiK is proud to offer medical, vision, and dental insurance, 401(k) plan with company matching, life and accidental death and dismemberment insurance, HSA (with high deductible plan), FSA, and other benefits to all full-time employees, along with flexible paid time off and holidays. CertiK also offers a variable commission program for business development sales roles.   In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.   CertiK is proud to be an equal opportunity employer. We will not discriminate against any applicant or employee on the basis of age, race, color, creed, religion, sex, sexual orientation, gender, gender identity or expression, medical condition, national origin, ancestry, citizenship, marital status or civil partnership/union status, physical or mental disability, pregnancy, childbirth, genetic information, military and veteran status, or any other basis prohibited by applicable federal, state or local law.   CertiK will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements. https://www.eeoc.gov/sites/default/files/migrated_files/employers/poster_screen_reader_optimized.pdf   All CertiK employees are expected to actively support diversity on their teams, and in the Company.

Location: Hong Kong, Hong Kong SAR; Singapore, Singapore Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity We are looking for an experienced blockchain developer to join our team building the next generation of high-performance on-chain trading infrastructure. You will help design and implement a unified trading engine — supporting Perpetuals, Spot, and Prediction Markets under a single margin account — and contribute to ExchangeOS , an infrastructure layer that lets KYC'd institutions and Web3 entities stake to create and operate their own trading venues (DEXs) on top of our chain. What You’ll Be Doing Design and build a unified account and matching system that supports Perpetuals, Spot, and Prediction Markets — including on-chain order matching, cross-margin validation, settlement, and liquidation/risk engines (ADL, ADL-avoidance, ADL waterfall, ecosystem insurance fund mechanics). Build and optimize the core components of ExchangeOS : the staking/venue-creation framework that allows KYC-verified institutions and Web3 protocols to launch and operate their own dex on shared infrastructure. Drive performance engineering across the stack — parallel transaction execution, low-latency order pipelines, and throughput/latency optimization at the engine and chain level. Track cutting-edge blockchain and trading-system technology (e.g. Hyperliquid, dYdX, other high-performance perp DEX architectures) and apply best practices to our infrastructure. Partner with product and business teams to translate venue/exchange requirements into technical designs, and provide ongoing technical support. What We Look For In You Strong proficiency in Rust , with hands-on experience in high-performance, low-latency systems; experience with parallel/concurrent execution engines is a strong plus. Deep understanding of exchange/matching engine mechanics: order book design, margin systems, liquidation and ADL, settlement, and risk engines — familiarity with perpetual, spot, or prediction market products is a strong plus. Solid grounding in blockchain fundamentals (consensus, P2P networking, cryptography); experience reading core code of major L1/L2 systems (Ethereum, Optimism, Arbitrum, or high-performance L1s like Hyperliquid/Solana) is a plus but not the primary focus of this role. Strong systems-performance mindset: profiling, memory/allocator tuning, and designing for sub-millisecond latency at scale. Excellent teamwork, communication, and logical reasoning skills; genuine passion for trading systems and blockchain technology. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: India; Singapore Workplace: Remote About the Role We’re looking for a Partner Sales Director for the Indian and ASEAN market. This is a high-energy, relationship-driven professional who can accelerate revenue by driving partner-sourced and partner-influenced sales across the region. This is a quota-carrying role responsible for working hand-in-hand with our field sales teams and strategic partners, including hyperscalers, system integrators (SIs), channel partners, and ISV/OEM partners, to identify, influence, and close new opportunities. You’ll also play a key role in expanding and deepening our partnerships (especially regional SIs), helping source new opportunities, develop joint solutions, and ensure successful project delivery. The ideal candidate is a self-starter with strong sales instincts, partnership acumen, and executive presence. We are looking for someone who can think strategically while executing rigorously to deliver incremental revenue and pipeline growth. WHAT YOU’LL DO - Own and deliver against a regional revenue quota for partner-sourced and partner-influenced bookings. - Collaborate closely with the India & ASEAN field sales teams to integrate partners into key account strategies and deal cycles. - Build and execute strong joint sales motions with hyperscalers, SIs, ISVs, OEMs, and channel partners to expand ClickHouse’s reach and accelerate pipeline. - Serve as the primary partner sales interface for India and ASEAN, ensuring alignment between regional sellers, partners’ field teams, and global partner programs. - Develop and execute joint account plans, campaigns, and demand-generation activities with priority partners. - Drive joint forecasting, pipeline visibility, and reporting to ensure partner contributions are tracked and recognized. - Identify, onboard, and develop strategic system integrator (SI) partnerships that can both source new opportunities and deliver successful implementations. - Define joint GTM plays, delivery frameworks, and enablement paths to ensure scalable, repeatable customer success. - Collaborate with internal and external stakeholders to drive SI delivery readiness and certification. - Work closely with the global and regional Partner, Sales, and Marketing teams to ensure alignment of partner strategy, programs, and field execution. - Collaborate with Product and Solutions Engineering to support partner-led projects, and proof-of-concepts. - Serve as the voice of the ASEAN/India partner ecosystem, providing feedback and insights to shape ClickHouse’s broader partner strategy. - Maintain accurate partner pipeline data, revenue forecasts, and performance metrics. - Lead quarterly business reviews (QBRs) with key partners and internal stakeholders. - Continuously refine partner engagement models based on data-driven insights and field feedback. WHO YOU ARE - Experienced Sales & Partnerships Professional: 10+ years in enterprise software sales, channel sales, or strategic alliances; ideally in cloud, data, or analytics space. - Quota-Carrying Performer: Demonstrated success meeting or exceeding sales and revenue targets through partner ecosystems. - Partner-Savvy: Deep understanding of hyperscaler (AWS, GCP, Azure), SI, and channel partner models — including co-sell, marketplace, and resale motions. - Strategic + Tactical Operator: Can develop GTM strategy and also roll up sleeves to drive execution with field and partner teams. - Strong Communicator & Influencer: Excellent verbal, written, and presentation skills; comfortable engaging both internally and externally at executive levels. - Relationship Builder: Skilled at navigating complex partner organizations, aligning incentives, and building long-term, trust-based relationships. - Self-Starter with Grit: Operates autonomously, thrives in high-growth environments, and drives outcomes without heavy structure. - Collaborative Team Player: Works seamlessly across sales, marketing, product, and partner functions; coachable and open to feedback. #LI-CL1   PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

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 Anthropic's legal team operates at the frontier of some of the most consequential legal and regulatory questions of our time — from landmark copyright matters to first-of-their-kind AI regulatory frameworks emerging across dozens of jurisdictions simultaneously. As we scale, the volume and complexity of our discovery and information governance obligations are growing rapidly. We are looking for a Discovery Technical Operations Specialist to join our Litigation and Regulatory team and help build out Anthropic's discovery operations from the ground up, support active matters, and help drive information governance maturation. This is a unique opportunity to be a part of a critical function at one of the most closely watched companies in the world. You will work hand-in-hand with our discovery leads, litigation and regulatory counsel, outside counsel, discovery vendors, and cross-functional partners such as Security and IT to manage retention, preservation, collection, and production of electronically stored information (ESI) across active matters. Beyond matter-level support and programmatic development of discovery systems and processes, you will also help execute the development of Anthropic's broader information governance program, including data classification standards and defensible disposal practices that keep pace with a rapidly scaling AI company's evolving data landscape. The right person for this role will be equal parts technical operator and operational project manager. Key responsibilities Build and operate discovery operations across the full EDRM lifecycle (preservation, collection, processing, hosting, review, and production including for novel and AI-specific data types) Support the operational design and execution of the legal hold program including custodian identification workflows, hold issuance and tracking, periodic re-notification, custodian acknowledgments, and defensible release Support and improve the discovery technology stack including RelativityOne, in-place preservation and collection tooling across Slack, Google Workspace, and internal systems, and supporting analytics and review platforms including configuration, access controls, templates, and reusable workspaces Partner with discovery team, in-house counsel, outside counsel, vendors, and internal technical teams; coordinate matter execution, status, and escalations Partner with Security, IT, and product engineering to support Anthropic's data landscape, instrument new data sources for hold and collection, and ensure each ESI source has a governed retention, hold, and disposition path Improve and support the operational layer of Anthropic's information governance program: retention schedule execution, classification rollout, defensible disposition workflows, and data-inventory maintenance in close partnership with the Discovery Lead and information governance stakeholders Integrate AI and automation into the EDRM lifecycle: generative-AI-assisted review, advanced analytics, custom Relativity applications, and agentic workflow automation for intake, hold tracking, status reporting, and internal documentation Support active litigation, government investigations, and regulatory inquiries as the operational counterpart on the matter team coordinating workstreams, managing vendor execution, and surfacing operational risk and cost trade-offs to counsel Design and build internal tools to streamline and manage critical discovery workflows (legal holds, preservation, collection, ECA, and production), and develop dashboards that report on data management trends and cross-matter discovery status Minimum qualifications Hands-on discovery experience across the full EDRM lifecycle, with demonstrated ownership of operations on complex matters in an in-house legal department, government agency, law firm, or vendor A track record of supporting complex discovery operations functions Working knowledge of major discovery platforms (Anthropic uses RelativityOne), including administration, search and analytics, AI/TAR workflows, custom application development, and AI workflows Strong understanding of the Federal Rules on discovery and evidence, ESI preservation obligations, and proportionality, with the operational fluency to translate those obligations into workflows Experience operating discovery across modern enterprise data sources Slack, Google Workspace, mobile, and engineering systems and an understanding of how to bring novel data sources under preservation and collection Strong project management instincts and a track record of running multiple concurrent matters and programs under tight deadlines, with composure and precision Demonstrated ability to communicate technical discovery and operational concepts clearly to attorneys, executives, engineers, and non-technical stakeholders Preferred qualifications 6+ years of hands-on discovery experience across the full EDRM lifecycle Experience standing up discovery operations at a young and/or fast-scaling company, particularly in the context of new kinds of ESI Experience embedding with engineering or product teams to define discovery and information governance requirements, prioritize roadmap, and ship hold-capable and collection-capable features into core enterprise tools Hands-on integration of generative AI and agentic workflows (e.g., Claude, Claude Code, or similar) into operational discovery work project tracking, status reporting, internal documentation, custom tooling, and script maintenance Technical fluency working with engineering teams and modern infrastructure APIs, cloud (AWS, GCP), data pipelines, and version control and comfort writing, reading, or maintaining small scripts where useful Experience operating information governance programs at scale including retention scheduling, data classification, defensible disposition, and data mapping across heterogeneous enterprise data sources Experience with applying AI and automation to discovery operations, including generative AI for review, agentic automation, and operational tooling for hold tracking, reporting, and documentation A collaborative, hands-on orientation, with integrity and genuine curiosity about building operational programs in a fast-moving environment 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: $170,000 — $220,000 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: Jakarta, Jakarta, Indonesia Dexis is a dynamic professional services firm dedicated to partnering with government and community leaders both in the U.S. and internationally to achieve critical social outcomes in a rapidly changing world. At Dexis, you will experience a corporate culture of inclusiveness, respect, fairness, and trust. You will be given the means and mentorship needed to succeed, and your creativity will be rewarded. LEAP Program Description Global Solutions Ventures (GSV) – a joint-venture partnership between ZemiTek, LLC and Dexis Consulting Group – is implementing the Long-term Exceptional Technical Assistance Project (LEAP Global), a mechanism originally used by USAID to battle against infectious diseases such as malaria, HIV/AIDS, tuberculosis, neglected tropical diseases, and pandemic influenza. As of July 1, 2025, LEAP Global transitioned to the U.S. Department of State (DOS). This initiative aims to address the complex human resource challenges faced by national infectious disease programs in the USA-supported countries. The intervention of this project is to hire and embed technical expert advisors and subject matter experts within government entities. By directly embedding the technical expertise within the national programs, LEAP provides long-term, sustainable lifesaving support to empower host governments to lead and manage key aspects of their infectious disease portfolios and improve coordination between the U.S. Government and the host country. About the Position The MNCH Advisor will advance the United States Department of State (U.S. DoS)' lifesaving humanitarian assistance (LHA) Maternal and Child Health (MCH) programs in Indonesia, in full alignment with the U.S. Presidential Executive Order directives. The Advisor will provide technical support to Indonesia's Ministry of Health (MoH) to strengthen service delivery and institutional capacity for improving maternal, neonatal, and child health outcomes, including polio eradication and measles elimination. The Advisor will work closely with the U.S. Embassy Jakarta ECON Health Unit, MoH counterparts, and provincial and district health offices to ensure a coordinated, sustainable implementation and development and execution of a responsible, phased transition plan for the U.S. DoS-supported MCH activities to relevant Indonesian government entities. The Advisor will report to and receive technical guidance from the U.S. Embassy Jakarta ECON Health Unit points of contact and the MoH Directorate of Family Health and Directorate of Immunization. Location: Jakarta, Indonesia, with regular travel to project areas in Indonesia. Responsibilities Program Management and Technical Leadership (80%) Lead the strategic transition of lifesaving MCH program activities to relevant directorates under MoH, ensuring sustainable institutional capacity and program ownership through the development and implementation of a responsible transition plan, including phased transfer of technical, managerial, and implementation responsibilities to Ministry of Health counterparts, and embedding of quality improvement approaches within national systems. Oversee documentation and knowledge transfer of relevant MCH activities, ensuring continuity of services and responsible transition to GoI counterparts in accordance with the agreed transition roadmap and sustainability plan. Serve as the primary liaison between DoS, implementing partners, MoH, and local governemnt ensuring effective communication and coordination across MCH, polio, and measles initiatives, including coordination on transition planning, milestone tracking, and handover of responsibilities. In collaboration with the U.S. Embassy Jakarta ECON Health Unit and the MoH, provide technical guidance on life-saving activities to implementers, ensuring alignment with U.S. Government and MoH priorities and supporting gradual transfer of technical leadership to MoH counterparts. Review and provide technical input on work plans, monitoring and evaluation (M&E) frameworks, and key project deliverables. With guidance from the U.S. Embassy Jakarta ECON Health Unit and MoH, analyze and interpret public health program data to generate key results and trends, supporting the tracking of MCH, polio, and measles indicators as well as transition readiness indicators and quality improvement performance measures. Participate in and support regular meetings with implementers, contributing to briefings, data calls, and ad hoc analyses as required, including review of transition progress and sustainability planning. Identify and address implementation challenges, ensuring effective use of U.S. Government resources and achievement of program objectives for MCH, polio, and measles. Stakeholder Coordination and Representation (20%) Serve as a technical subject matter expert, engaging with MoH counterparts and other stakeholders to advance the America First Global Health Strategy, with focus on MNCH, polio, and measles and supporting the institutionalization of sustainable systems through a structured transition approach. Support joint work planning and oversight of MNCH, polio, and measles interventions with implementers and MoH directorates, and provincial and districts health offices, while ensuring alignment and integration of a comprehensive, phased transition plan, including monitoring of handover milestones and sustainability benchmarks. Attend meetings with the Government of Indonesia (GoI) and development partners, providing timely reports and key takeaways on MCH, polio, and measles topics, including updates on transition progress, capacity transfer, and institutionalization of quality improvement approaches. Foster strong working relationships with the GOI counterparts and implementers to ensure alignment and collaboration across all relevant activities, including shared ownership of the transition process and long-term sustainability of program outcomes. REPORTING : Submit a detailed monthly report to the U.S. Embassy Jakarta ECON Health Unit by the 5th day of the following month. Submit weekly progress updates with key successes to the U.S. Embassy Jakarta ECON Health Unit and participate in weekly calls. Qualifications Medical degree (M.D. or equivalent bachelor's/first professional degree in Medicine) required, plus an advanced (graduate-level) degree in Public Health required. Additional certifications in knowledge management and monitoring and evaluation are an asset. Minimum of seven (7) years of progressively responsible experience in public health programming, preferably with the U.S. government or other bilateral/multilateral organizations. Demonstrated expertise in the design, implementation, monitoring, and evaluation of MNCH, polio, and measles programs. Strong knowledge of Indonesia’s health sector, national health information systems, and M&E frameworks. Proven ability to analyze epidemiological data and translate findings into actionable program improvements. Excellent written and verbal communication skills, with the ability to present complex information clearly to diverse audiences, including senior leadership. Strong project management, analytical, and technical skills, with experience reviewing and providing feedback on technical documents and reports. Ability to work independently, manage multiple priorities, and adapt to changing circumstances. Exceptional interpersonal skills, including diplomacy, tact, and the ability to build consensus among multiple stakeholders. Experience mentoring and building capacity of local organizations, including government and civil society partners. Proficiency in Microsoft Office and web-based data management tools; ability to quickly learn new systems. Professional proficiency in spoken and written Bahasa Indonesia is required. Fluency in written and spoken English is required. Benefits Dexis offers benefits to support employees’ health, financial security, and well-being. The benefits outlined below are for full-time, US-based positions only. These benefits include: Medical and prescription drug coverage: A choice of three UnitedHealthcare medical plans, with coverage options for employees and eligible dependents. Dental insurance: Dental coverage for employees and eligible dependents, including preventive, basic, major, and orthodontic services, subject to plan limits. Company-paid vision insurance: Vision coverage for employees and eligible dependents, with premiums paid in full by Dexis. Employer-funded health reimbursement arrangement (HRA): Employees who enroll in the Silver HRA medical plan receive an employer-funded HRA to help pay eligible in-network deductible expenses. Company-paid life and disability insurance: Basic life and accidental death and dismemberment (AD&D) insurance, plus short-term and long-term disability coverage. Optional supplemental insurance: Voluntary supplemental life and AD&D insurance options, including life insurance options for eligible dependents. Employee Assistance Program (EAP): Company-paid access to confidential counseling and legal and financial support resources for employees and their families. Health and wellness resources: Virtual care, behavioral health resources, and wellness programs available through the medical plan. Benefits assistance: Personalized support with benefit enrollment, coverage questions, claims, and finding providers through the Employee Care Center. Participation, coverage, and employee contributions are subject to applicable benefit plan terms and eligibility requirements. Dexis is on a mission to help solve today’s most pressing global political, social, and economic challenges and create a world where all people are safe and prosperous. As a Dexis employee, you will be challenged, empowered, and mentored. Our motto is “find a way or make a way” — that’s how Dexis goes “all in.” How will you? If you are passionate about this opportunity, apply now! Only those applicants who meet the above criteria will be contacted for interview. Dexis is an Equal Opportunity Employer, and does not discriminate on the basis of race, color, sex, national origin, religion, pregnancy, disability, age, genetic information, military service, veteran status, ethnicity, citizenship, sexual orientation, gender identity, marital status, childbirth and related medical conditions, including lactation, or any other protected class under applicable law.

Location: Remote, Worldwide Workplace: remote About Welo Life Sciences  Welo Life Sciences, a Welo Global brand, is a specialized language and technology partner serving pharmaceutical, CRO, and medical device organizations operating in regulated global markets. We deliver regulator-ready translation, linguistic validation, and localization solutions that support clinical trials, pharmacovigilance, regulatory affairs, labeling, and global commercialization. Our approach combines subject matter expertise with ISO-certified quality processes and technology-enabled workflows designed to integrate seamlessly into life sciences operations. With extensive experience supporting global product development and post-market requirements, Welo Life Sciences helps organizations accelerate timelines, protect data integrity, and maintain compliance across languages and regions. All solutions are delivered within a secure, audit-ready framework supported by seven ISO certifications.  welolifesciences.com About the Role We are looking for experienced English into Spanish (Mexico) linguists specializing in Clinical-trial, Pharmacovigilance and Regulatory document translation. Key Responsibilities Translate clinical research, regulatory and pharmacovigilance documents from English to Spanish LatAm. Perform Machine Translation Post-Editing (MTPE) on machine-translated safety content. Perform Copy Edit (translation review) of translated/post-edited content for accuracy, tone, and consistency. Meet strict, non-extendable turnaround times on time-sensitive content. Work within the client's CAT tool environment (XTM/Phrase), also Track Changes in Microsoft Word following project-specific setup instructions. Field of Expertise Clinical Research Documents (protocols and synopses, IB, ICF, Patient Sheets, Patient Diaries) Regulatory Documents (SmPC, PIL, Labels, CTD Modules) Pharmacovigilance Documents (PSUR, DSUR, RMP, SAE and AE) Must-Have Criteria Applicant must meet at least one of the following criteria: Education A degree in Translation, Linguistics, or Language Studies (or an equivalent degree) or Recognized graduate qualification in any other field, plus a minimum of two years of full-time professional experience in translation or A minimum of five years of full-time professional experience in translation Relevant translation experience At least two years of practical translation experience, specifically with life sciences (clinical trials and pharmacovigilance) and medical documents Technical Skills Familiarity with CAT tools (XTM/Phrase), License will be provided. Familiarity with Track Changes in Microsoft Word Native Language A candidate must be native in ESMX (Mexican Spanish) Nice-to-Have Degree in Medicine, Biology, Biochemistry, Clinical Research, Translation, Linguistics, Philology or similar In-house industry experience at a CRO or pharmaceutical company. Before Applying Please note there will be an assessment as part of our onboarding and quality procedure, please only apply if you're willing to complete our assessment.   Please ensure your latest English CV accurately reflects your Life Sciences and Medical translation experience, including years of experience specifically in Life Sciences, the document types you’ve translated, CAT tool you've used, and relevant details also your contact information (email AND phone number).   Beware of recruitment scams. Welo Global and all of its brands never recruit through direct messages on social media or WhatsApp, and never asks candidates to pay money for a job. Official emails come only from @welocalize.com, @welodata.ai, or @hire.lever.co, and all applications go through jobs.lever.co/weloglobal. Be wary of unexpected offers, generic email addresses (such as Gmail or Yahoo), and requests for fees or sensitive information. Report suspicious messages and learn more: Recognizing Scams and Confirming Legitimate Welocalize Communications – Welo Global   We look forward to receiving your application!   Job Reference: #LI-JC1

Location: Cyprus; Bulgaria; Poland; Russia; Dubai, United Arab Emirates; Georgia Job Description (JD) Job Title Head of Analytics – Global Multi-Product Broker Location Limassol, Cyprus (Hybrid) or Remote (UTC−1 to UTC+4) Reporting To Chief Marketing Officer (CMO) About the Role We are seeking an experienced Head of Analytics to establish and lead our analytics function from the ground up. This is a unique opportunity to define the company's data strategy, build the analytics architecture, and create the foundations for data-driven decision-making across a rapidly growing multi-product brokerage business. Operating across CFDs, cryptocurrency, proprietary trading, and prediction markets, the business has reached significant scale without a centralized analytics function. As the first Head of Analytics, you will have full ownership of building the data ecosystem, defining business metrics, implementing attribution models, and establishing analytics best practices that will shape the organization for years to come. Key Responsibilities Analytics Strategy & Leadership Build and lead the company's first centralized analytics function. Define the long-term analytics vision, roadmap, and operating model. Establish data governance standards, metric definitions, and reporting frameworks. Partner with executive leadership to enable data-driven strategic decisions. Direct and mentor embedded analysts across multiple business functions. Data Infrastructure & Architecture Design and implement the end-to-end analytics technology stack. Select and deploy data warehousing, transformation, visualization, and reporting solutions. Build scalable analytics infrastructure to support multiple financial products. Develop a canonical data model across the organization. Ensure data quality, consistency, accessibility, and governance. Marketing & Attribution Analytics Design and implement multi-touch attribution across: Paid Search Paid Social Affiliate Marketing Mobile Acquisition Partner Programs Build unified customer journey tracking from first interaction through trading activity. Deliver accurate ROI and customer acquisition insights across all marketing channels. Establish standardized marketing performance metrics. Business Intelligence & Performance Reporting Develop real-time executive dashboards and KPI reporting. Create a single source of truth for business-critical metrics. Build reporting frameworks across CFDs, Crypto, Prop Trading, and Prediction Markets. Translate complex analytical findings into actionable business recommendations. Experimentation & Decision Science Establish a company-wide hypothesis testing and experimentation framework. Design and evaluate A/B tests and controlled experiments. Ensure business decisions are supported by statistically sound analysis. Champion a culture of evidence-based decision making. Stakeholder Management Collaborate closely with Marketing, Product, Technology, Operations, and Commercial teams. Resolve cross-functional alignment on data definitions and reporting standards. Present analytical insights to senior leadership and executive stakeholders. Team Building Lead, coach, and develop embedded analysts. Design the future analytics team structure. Recruit and onboard analytics talent aligned with company culture and business goals. Key Deliverables (First 12 Months) Months 1–6 Build the analytics infrastructure and technology stack. Implement event tracking across all customer touchpoints. Deploy centralized data warehouse and transformation pipelines. Launch UUID-based attribution across all marketing channels. Establish data governance framework and documentation. Months 6–9 Develop and implement the organization's canonical data model. Standardize definitions for key business entities and KPIs. Align stakeholders around consistent business metrics. Months 9–12 Deliver real-time KPI dashboards across all business lines. Launch experimentation and hypothesis testing framework. Enable marketing and product teams to make data-driven decisions. Begin scaling the analytics organization through strategic hiring. Requirements Required Qualifications Bachelor's degree in Analytics, Data Science, Computer Science, Mathematics, Statistics, Economics, Engineering, or a related field. Master's degree is advantageous. Experience Required Significant experience in Analytics, Business Intelligence, or Data Leadership roles. Experience building an analytics function from the ground up. Strong background in financial services, brokerage, fintech, cryptocurrency, trading platforms, or similar digital businesses. Demonstrated experience implementing multi-touch attribution models. Proven success designing analytics architecture and selecting technology stacks. Experience leading cross-functional analytics initiatives. Experience managing or mentoring analytics professionals. Technical Skills Data Warehousing ETL/ELT Architecture SQL Python or R Business Intelligence tools (Power BI, Tableau, Looker, etc.) Marketing Attribution Platforms Event Tracking Frameworks Data Modeling Dashboard Development Statistical Analysis Experiment Design (A/B Testing) Data Governance Core Competencies Strategic Thinking Analytical Problem Solving Leadership & Team Development Stakeholder Management Business Acumen Communication & Influencing Skills Decision Making Change Management Project Ownership Innovation Mindset Success Profile The ideal candidate has: Built multi-touch attribution across paid, organic, and partner marketing channels. Designed analytics architecture from a greenfield environment. Experience within CFD, crypto, brokerage, fintech, or adjacent financial services. Successfully aligned stakeholders around standardized data definitions. Driven experimentation and evidence-based decision-making. Demonstrated confidence in challenging assumptions with data. A builder mindset who views the absence of existing infrastructure as an opportunity. Benefits Why Join Us Build the analytics function from the ground up with full ownership. Define the company's data architecture, governance, and reporting standards. Shape the future of analytics across multiple global trading products. Influence executive decision-making at the highest level. Build and lead a high-performing analytics team. Opportunity to make a lasting impact on a fast-growing global organization.

Location: San Francisco, CA Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. ABOUT THE ROLE Sierra’s AI agents depend on foundation models to reason and act in real time. The Inference team builds the systems that make those models fast, reliable, and efficient at scale. As a Software Engineer on Inference, you’ll help define Sierra’s inference architecture across both self-hosted models and third-party inference providers. You’ll work on the systems responsible for serving and routing inference, managing capacity and quota, and optimizing for latency, reliability, and cost. This is a systems-first role at the intersection of distributed infrastructure and AI. You don’t need to be an ML researcher—we’re looking for engineers who love complex systems problems and are excited to apply that expertise to one of the fastest-moving areas of AI infrastructure. WHAT YOU'LL DO - Partner with frontier labs and providers. At our scale, we rely on frontier labs, and inference providers to supply capacity, training and inference infrastructure. - Shape Sierra’s inference architecture. Design how inference traffic flows across models, infrastructure, and providers, including new serving and proxy layers as Sierra scales. - Build for low latency and high reliability. Develop systems for routing, failover, capacity management, and quota that keep inference performant and available across large-scale production workloads. - Build and operate self-hosted inference. Run models on GPU infrastructure, from building containers and operating inference engines to managing the underlying compute capacity. - Optimize inference performance. Work with the Applied Research team on techniques such as speculative decoding and serving-engine optimizations that improve latency, throughput, and cost. - Build across a hybrid inference stack. Work with both Sierra-managed infrastructure and leading inference platforms, making architectural decisions about where and how workloads should run. - Push the serving stack forward. Work closely with inference providers to tune engines and infrastructure for Sierra’s workloads. - Support the broader model lifecycle. Contribute to infrastructure that enables post-training while partnering closely with our Models and Agent Runtime teams. WHAT YOU'LL BRING - Deep systems thinking and strong distributed systems fundamentals. - Experience designing, building, and operating large-scale production systems. - Strong judgment around tradeoffs involving latency, reliability, capacity, and cost. - Experience taking ownership of complex infrastructure from architecture through production operation. - Excitement about applying systems expertise to AI infrastructure and learning quickly as the underlying technology evolves. EVEN BETTER - Experience with ML infrastructure, MLOps, or production inference systems. - Experience serving LLMs or other large models at scale. - Experience operating self-hosted inference and GPU infrastructure. - Familiarity with inference frameworks such as vLLM or SGLang. - Experience with post-training infrastructure or inference-performance optimization. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized  - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

Location: San Francisco; Toronto; New York; Montreal; Seattle Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE We're looking for distributed systems engineers and product-minded generalists to build the distributed runtime that powers large-scale LLM inference on Baseten. Our inference platform empowers customers to deploy and operate cutting-edge models with industry-leading performance, scalability, and reliability. It also powers Model APIs, our hosted endpoints for the latest open-source models. You'll work across the stack, from the developer experience customers use to deploy models, through the libraries behind features like tool calling and reasoning, down to the systems that orchestrate deployments on Kubernetes and route traffic efficiently. Your job is to make sure every model on our platform is fast, reliable, and cost-efficient. You'll join a small, high-impact team at the intersection of distributed systems, model performance, infrastructure, and product, helping define how developers use AI models at scale. This role is ideal for engineers who enjoy owning systems in production, solving hard integration problems, and making complex infrastructure simple and reliable for users.   EXAMPLE INITIATIVES You'll get to work on these types of projects on our Inference Platform: - The Baseten Inference Stack at NVIDIA Dynamo Day https://www.baseten.co/blog/nvidia-dynamo-day-baseten-inference-stack/ - 2x faster inference with KV cache-aware routing https://www.baseten.co/blog/how-baseten-achieved-2x-faster-inference-with-nvidia-dynamo/ - How Baseten multi-cloud capacity management (MCM) unifies deployments https://www.baseten.co/blog/how-baseten-multi-cloud-capacity-management-mcm-powers-cloud-self-hosted-and-hybr/#comparing-deployment-options-cloud-vs-self-hosted-vs-hybrid RESPONSIBILITIES - Build the infrastructure and orchestration systems that deploy and run large-scale distributed LLM inference, including routing, autoscaling, scheduling, and runtime management. - Design, build, and operate Model APIs, with a focus on advanced inference capabilities: structured outputs (JSON mode, grammar-constrained generation), tool/function calling, and multimodal serving. - Implement platform fundamentals such as API versioning, validation, usage metering, quotas, and authentication. - Instrument deep observability (metrics, traces, logs) and build repeatable benchmarks for speed, reliability, and quality. Help set best practices for testing, release automation, and operational excellence. - Debug and harden complex production systems spanning Kubernetes, distributed runtimes, networking, and GPU workloads to improve reliability and scalability. - Partner with Inference Performance engineers and other teams to make new optimizations broadly available to customers and easy to configure. - Own projects end to end, from architecture through deployment, monitoring, and iteration on customer feedback. Along the way, make thoughtful tradeoffs between performance, reliability, operational simplicity, and developer experience.   REQUIREMENTS - Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, or a related field, or equivalent practical experience. - 3+ years building and operating distributed systems, backend infrastructure, or large-scale APIs where reliability, latency, and scale are first-class concerns. - A proven track record of owning low-latency, reliable backend services, including rate limiting, auth, quotas, metering, and migrations. - Infrastructure instincts with a feel for performance: profiling, tracing, capacity planning, and SLO management. - Comfort debugging performance and reliability issues across multiple layers of the stack, from application behavior down to runtime and infrastructure internals. - A strong sense of developer experience. You think about how systems are used, not just how they work. - Eagerness to learn new languages, frameworks, and systems, and a real interest in inference engineering. Prior ML or LLM experience isn't required, though experience with model serving or inference systems is a plus. - Excellent written communication and collaboration skills, including writing clear design docs and working across functions.   NICE TO HAVE - Experience with or contributions to LLM inference engines and frameworks such as vLLM, SGLang, TensorRT-LLM, TGI, or Dynamo. - Deep Kubernetes experience, including operators and custom resources, plus familiarity with service meshes or API gateways. - Experience with distributed scheduling, autoscaling, or service orchestration. - Experience operating GPU workloads in production. - A background in developer-facing infrastructure or APIs, or contributions to open-source infrastructure or ML systems. - Familiarity with observability tooling, CI/CD systems, or release automation. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: San Francisco; Toronto; New York; Montreal; Seattle Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE We're looking for inference performance engineers who want to make the world's most demanding AI workloads run faster and more efficiently. You'll work across the stack, from the inference engine and runtime through scheduling, serving, and routing. Along the way you'll apply techniques like prefill/decode disaggregation, speculative decoding, and KV-cache management. You'll reason from first principles about where time and memory go, find what's holding performance back, and close the gap. Your work directly impacts how fast our customers' models run and how efficiently we serve them. This role is ideal for someone who thrives in a fast-paced startup environment and is eager to make significant contributions to the exciting field of LLM inference.   EXAMPLE INITIATIVES You'll get to work on these types of projects as an Inference Performance engineer: - Agentic Kernels in Production https://www.baseten.co/blog/agentic-kernels-in-production/ - How we built the new fastest API for GLM-5.2 https://www.baseten.co/blog/how-we-built-the-new-fastest-api-for-glm-52/ - Live draft model training for speculative decoding https://www.baseten.co/blog/live-draft-model-training-for-speculative-decoding/#eliminating-traditional-bottlenecks - Making Kimi K3 Tokenization 18x faster https://www.baseten.co/blog/making-kimi-k3-tokenization-18x-faster-for-million-token-agentic-workloads/ - The Baseten Inference Stack https://www.baseten.co/resources/guide/the-baseten-inference-stack/ - Driving model performance optimization https://www.baseten.co/blog/driving-model-performance-optimization-2024-highlights/ RESPONSIBILITIES - Implement and productionize cutting-edge inference techniques, working deep in runtime internals. That includes quantization, speculative decoding, KV-cache reuse, chunked prefill, LoRA, guided generation for structured outputs, and custom scheduling and routing algorithms. - Profile and optimize inference end to end, from kernel launch overhead and memory layout up to request scheduling, prefill/decode disaggregation, and cache-aware routing. Run cross-layer investigations, such as tracing a tail-latency regression from request timing through routing and batching down to a kernel. - Turn performance into cost savings. Improve tokens per GPU-hour, raise utilization, and give customers and internal teams clear latency/throughput/cost tradeoffs. - Bring up and tune new model architectures on new hardware quickly, often in the same week they're released. - Build benchmarking frameworks that measure real-world performance across model architectures, batch sizes, sequence lengths, and hardware configurations. - Contribute upstream to open-source inference engines (vLLM, SGLang, TensorRT-LLM), and partner closely with model, infrastructure, and customer-facing teams to ship wins.   REQUIREMENTS - Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Mathematics, or related field. - Experience with one or more general-purpose programming languages, such as Python or C++. - Familiarity with LLM optimization techniques (e.g., quantization, speculative decoding, continuous batching). - Strong familiarity with ML libraries, especially PyTorch, TensorRT, or TensorRT-LLM. - Demonstrated interest and experience in LLMs. - Deep understanding of GPU architecture.   NICE TO HAVE - Proficiency in enhancing the performance of software systems, particularly in the context of large language models (LLMs) - Contributed to vLLM, SGLang, TensorRT-LLM, or another inference engine. - Worked on large-scale distributed serving: autoscaling, load balancing, multi-region or multi-cloud capacity. - Written or optimized GPU kernels (CUDA, Triton, CUTLASS, or similar) - Worked on quantization (FP8/FP4, AWQ, GPTQ) or speculative decoding in production. - Deep understanding of software engineering principles and a proven track record of developing and deploying AI/ML inference solutions. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. By combining advanced sensing, data science, and technology designed for continuous wear, WHOOP delivers insights that help members better understand and improve their health and performance. WHOOP is looking for a Senior Sensor Intelligence Engineer to join our Embedded Controls team within Sensor Intelligence and help shape the sensing capabilities across current and future WHOOP devices. Sitting at the intersection of signal processing, machine learning, embedded systems, and sensor technology, you will develop algorithms that interpret real-world sensor signals and intelligently control how sensors operate on-device. You will work across the sensing stack from understanding sensor physics and signal characteristics through algorithm development and embedded deployment to enable increasingly sophisticated sensing capabilities while meeting the power, compute, memory, and reliability constraints of a continuously worn device. RESPONSIBILITIES: - Develop signal-processing and machine-learning algorithms that interpret physiological, motion, and other wearable sensor signals, including applications such as activity and state detection, wear detection, signal-quality assessment, and device-state estimation - Design intelligent embedded control strategies that dynamically configure sensor behavior based on signal quality, device state, user context, system requirements, and power constraints - Characterize new and existing sensors by understanding signal behavior, noise sources, artifacts, dynamic range, sampling requirements, calibration, operating modes, and the impact of analog and acquisition architectures - Prototype algorithms and sensing strategies using tools such as Python or MATLAB, then partner with Firmware Engineering to translate them into robust, computationally efficient implementations suitable for resource-constrained embedded systems - Partner closely with Firmware, Electrical Engineering, Data Science, Hardware, and broader Sensor Intelligence teams to bring up new sensing modalities, debug issues across the sensing stack, and inform sensing architectures for future WHOOP products - Develop experiments, analysis frameworks, and validation methodologies to evaluate sensor and algorithm performance across users and real-world conditions, optimizing solutions for accuracy, robustness, latency, memory, compute, and power QUALIFICATIONS: - BS, MS, or PhD in Electrical Engineering, Computer Engineering, Biomedical Engineering, Computer Science, Applied Physics, or a related technical field, or equivalent practical experience - Strong foundation in digital signal processing and time-series analysis, with experience applying techniques such as filtering, spectral analysis, sampling theory, noise reduction, and feature extraction to real-world sensor data - Experience developing signal-processing and/or machine-learning algorithms for noisy, artifact-prone sensor data and taking algorithms beyond offline analysis toward real-time, embedded, or production implementation - Strong proficiency in Python, MATLAB, or similar algorithm-development environments, with working knowledge of C/C++ and embedded-system considerations such as timing, memory, compute, and hardware interfaces - Working knowledge of sensor and electrical systems, including concepts such as ADCs, analog front ends, sampling, digital interfaces, noise, calibration, and signal acquisition - Ability to investigate and solve ambiguous engineering problems across algorithm, firmware, sensor, and electrical boundaries using strong experimental and analytical methods - Experience with wearable, physiological, optical, impedance, motion, multimodal, or related sensor systems is valued; experience with embedded inference, sensor fusion, fixed-point processing, quantization, low-power sensing, or microcontroller deployment is a plus - 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. Interested in the role, but don't meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-Verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Location: London, United Kingdom; Zurich, Switzerland; Paris, France Workplace: Hybrid About Ledger We’re a team of experts pushing the limits of what’s possible, united by our common goal to unlock true freedom through digital ownership, making technology accessible for all. We believe in a world where users, creators and enterprises manage their value with ownership and freedom. Our curiosity drives us to innovate, empowering individuals on a global scale. We believe change is constant and our team moves forward as one, with a culture of problem-solving where every employee is empowered and supported to challenge tradition and create solutions. Our mission is simple: to make self-custody accessible and give people the keys to their own financial futures. If you want to make a true impact, we want you to join us at Ledger. At Ledger, we’re proud to be the global platform for digital assets and Web3, with over 20% of the world’s crypto assets secured through our Ledger devices. With our headquarters in Paris, and offices in Vierzon, Grenoble, Montpellier, London, Portland, Geneva, Zurich and Central Singapore, we have a team of around 600 professionals developing a variety of products and services to enable individuals and companies to securely buy, store, swap, grow and manage crypto assets – including the Ledger hardware wallets line with more than 7.5 millions units already sold in 200 countries. The team: Ledger has secured digital assets for millions of people. Ledger Enterprise brings the same security to institutions. Banks, exchanges, custodians and stablecoin issuers use our platform to hold, move and govern digital assets on infrastructure they control: Vault for self-custody, HSM On-Premises for institutions that need keys inside their own perimeter, TradeLink for off-exchange settlement, and Multisig for on-chain governance. You’ll work closely with Business Development, Solutions Engineering, Product, Legal and Support, covering clients across Europe, the Middle East and Africa. Join a young, international, driven team in one of Ledger’s fastest-growing areas. What you’ll be doing: You will own a portfolio of institutional clients from signature onward. That covers onboarding, integration, adoption, renewal and expansion. You will be their trusted advisor inside Ledger and their voice in our product roadmap. - Own client relationships end to end. Be the primary contact for a portfolio of exchanges, banks, custodians and fintechs, and build relationships from operations teams up to C-level. - Drive integration and adoption. Explain product features clearly, run workshops, and guide clients through technical integration together with our Solutions Engineers. - Grow accounts. Identify and close upsell and cross-sell opportunities such as new products, additional users, assets or entities. Own your expansion and retention targets. - Negotiate renewals and contracts. Lead commercial discussions on renewals, amendments and pricing, working with Legal on terms. - Shape the product. Turn client feedback into clear, prioritised input for Product and influence what we build next. - Run the account rhythm. Lead QBRs, maintain account plans, keep the CRM accurate, and flag risks early. - Represent Ledger. Meet clients on-site and at industry events across EMEA, with occasional travel. What we’re looking for: - 4+ years in a similar account management or customer success role, ideally in B2B SaaS or enterprise infrastructure software. - Proven experience managing financial institution clients such as banks, asset managers, custodians or payment providers. - A track record of upselling and expanding accounts against targets. - Experience negotiating contracts and renewals with enterprise clients. - Comfort with technical conversations: you can explain APIs, integration flows and security concepts without needing an engineer in every meeting. - Hands-on experience with digital assets, or a clear and demonstrable interest in the space. - Excellent written and verbal communication in English. You can adapt your message for a CISO, a head of operations or a CFO. - A structured, self-driven way of working. You manage a portfolio without being chased. Nice to have: - Understanding of regulatory frameworks relevant to EMEA clients, such as MiCAR, DORA, the Travel Rule, the Basel crypto-asset standards, FINMA requirements, or Middle East regimes like VARA (Dubai) and ADGM. - Familiarity with custody and key management concepts like MPC, HSMs and cold/warm/hot wallet setups. - Additional languages, especially German, French or Arabic. - Experience at a crypto-native firm, a bank’s digital asset desk or a custody provider. At Ledger, we are dedicated to continually investing in our employees which is why we offer more than just salaries; we provide comprehensive compensation packages that include a wide range of benefits. Here are some of the benefits you can look forward to: - Flexible work options - Our hybrid policy allows employees to work from home up to 3 times per week - Health & Wellness support - Health and Life Insurance. - Financial growth opportunities - Employees can become shareholders in Ledger as well as other financial benefits depending on your country of work. - Commuter allowance - Ledger offers a commuter allowance to contribute to your preferred means of transportation. - Learning & Development - A comprehensive suite of training solutions providing a personalised learning experience for every employee. For regionally specific benefits, your Talent Acquisition contact will be able to provide you with more information. We’re committed to building an inclusive hiring process. If you need any adjustments or accommodations, just let us know, we’ll do our best to support you.

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 team Anthropic's Security Governance, Risk, and Compliance (GRC) team is the connective tissue that holds the company accountable to its security commitments. We translate regulatory, customer, and voluntary obligations into controls that teams act on, and give leadership a bird's-eye view of how well we're meeting them. We're building toward a fundamentally different kind of GRC: one that directs Claude, with the right humans in the loop, to challenge and evidence the performance of controls continuously rather than through periodic audits. Within Security GRC, Compliance and Audit Programs (CAP) runs the integrated audit across our frameworks and maintains the Common Control Framework the program hangs off. This role sits in Compliance & Audit Programs and works one regime family, US public sector, from requirements through authorization and ongoing compliance, working alongside the public sector engineering pods rather than downstream of them. About the role You'll help drive the compliance programs that keep Anthropic's US government authorizations current: federal civilian (FedRAMP, including FedRAMP 20x for Claude Enterprise), Department of War (DoD impact levels, CMMC, NIST SP 800-171), and state and local (StateRAMP, TX-RAMP and agency requirements). You'll own the recurring cycles those authorizations run on (continuous monitoring, POA&M, annual assessments, significant changes), help build new authorizations as we add them, and keep every frontier model's authorizations current. You'll turn government requirements into specific, testable requirements that engineering teams build against, review the evidence that comes back, and say so when a launch is not ready for a government boundary. You'll map US government requirements onto our Common Control Framework so the public sector view and the integrated audit view of the same control stay one framework. Building with Claude is a normal part of the job: mapping, evidence collection and reporting, with you deciding where human judgment stays in the loop. This is an individual contributor role, working closely with a peer on US public sector compliance, for someone who works well independently, writes clearly, and gets satisfaction from a government authorization that holds up as the product changes underneath it. Key responsibilities Run the recurring compliance cycles for our US government authorizations (continuous monitoring, POA&M, annual assessments, SSP updates, significant changes and incident notifications), starting with C4G on Palantir FedStart and the NIST SP 800-171 assessment with Schellman Co-own FedRAMP 20x work for Claude Enterprise, and help build new authorizations (first-party FedRAMP High, DoW impact levels, StateRAMP and TX-RAMP) with requirements and evidence work Support model authorizations in GovCloud and Vertex for every model launch, as the GRC member of the Inference and model delivery pod Translate government obligations into partner team requirements, for example vulnerability SLAs in our internal vulnerability reporting platform, and review the evidence Answer public sector customer and deal questions (what a boundary allows, CUI, IRS Publication 1075, CJIS, ITAR), and handle questionnaires and RFIs until they move to Customer Trust Map US government requirements onto the Common Control Framework with the Controls Assurance Lead and keep one source of truth for status Build with Claude: automate mapping, evidence collection and reporting, and verify machine-drafted language before it becomes the record Minimum qualifications Several years in security compliance or IT audit with hands-on US government compliance for a cloud service (FedRAMP, DoD impact levels, CMMC or NIST SP 800-171, or StateRAMP), including the ongoing compliance cycle after authorization Working command of the NIST SP 800-53 Moderate baseline and the mechanics of authorization: boundary definition, control implementation statements, assessment, continuous monitoring, POA&M and significant change Experience writing requirements for engineering teams from a control baseline and reviewing the evidence that came back Working knowledge of how a GovCloud or Vertex style government region differs from commercial, and what changes when a model, feature or region is added to an authorized boundary Enough technical fluency to read a runbook, configuration or pipeline definition and judge whether it enforces the written control Clear writing, because implementation statements and status reports are what assessors, engineers and leadership work from Ability to get partner teams to prioritize and close compliance work without authority over them Preferred qualifications Have taken a service through FedRAMP High or DoD IL4 or IL5, or supported a service on classified networks Have worked on a FedRAMP 20x pilot or built machine-readable evidence or reporting for an assessor Have applied LLMs to compliance work such as control mapping, evidence testing or continuous evidence collection Hold or are eligible for a US security clearance Experience with state and local requirements such as StateRAMP, TX-RAMP, IRS Publication 1075 or CJIS You don't need to Have done everything on this list or worked every regime. The scarce combination is running a government authorization on its recurring cycle plus the judgment to tell whether a control actually works Write production code. The bar is fluency sufficient to read, query and challenge Hold every certification. CISSP, CISA, CGRC or similar are welcome and not required Have prior AI industry experience Deadline to apply: None. Applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $255,000 — $270,000 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, 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 team Anthropic's Security Governance, Risk, and Compliance (GRC) team is the connective tissue that holds the company accountable to its security commitments. We translate regulatory, customer, and voluntary obligations into controls that teams act on, and give leadership a bird's-eye view of how well we're meeting them. We're building toward a fundamentally different kind of GRC: one that directs Claude, with the right humans in the loop, to challenge and evidence the performance of controls continuously rather than through periodic audits. Responsibilities: Serve as the security policy partner for AI agent governance, authoring the policies and standards for how agents are built, deployed, operated Define review and approval criteria when an agent may interact with sensitive or regulated data, and which actions require human approval as it relates to compliance frameworks Serve as the GRC reviewer within existing engineering approval workflows Define data governance requirements for agents, including least-privilege access, access reviews, and handling of regulated and sensitive data Monitor agent behavior over time and adapt governance requirements in partnership with cross-functional security, research and engineering teams Map agent security and data controls to AI governance frameworks (e.g., ISO 27001, ISO 42001, EU AI Act), strengthening Anthropic's certification efforts ensuring agent security is auditable Assess and document agent-related security and compliance risks, driving them to resolution with engineering owners Own the policy for agent-related risk acceptances and exceptions, including approval authority, duration and re-review You may be a good fit if you: Have 8+ years in security governance, risk, and compliance, including ownership of security policies and control standards at a technology company Have owned or meaningfully supported efforts to compartmentalize sensitive data, PII, or intellectual property, and understand how identity and access mechanisms implement or undermine protection boundaries Think about non-human identities as a distinct risk and control category, and can design least-privilege access and accountability controls for systems acting on a person's behalf Can reason from a threat model to a control and explain the tradeoff to both an engineer and an auditor Have defined risk-based review or approval criteria within engineering workflows and kept them effective under high change velocity Deliver clear, precise written work for both technical and non-technical audiences Thrive in ambiguous environments with no settled industry playbook, where you're expected to propose the standard rather than wait for one Are energized by being the security and risk authority who educates and influences outcomes rather than only advises Strong candidates may also: Understand the security properties of LLM agents, whether from an AI, developer-platform, or agent-tooling company, or through comparable experience Bring familiarity with AI governance frameworks alongside traditional security frameworks Have adapted controls from regulated or highly sensitive environments to an open, high-trust engineering culture Possess relevant certifications (CISSP, CISM, CRISC, CISA, CCSP, ISO 27001 or ISO 42001 Lead Implementer/Auditor) Candidates need not have: Done everything on this list before. Very few people have governed AI agents at scale — we care more about how you reason about access, accountability, and blast radius than about a prior title. Deadline to apply: None. Applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $255,000 — $345,000 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: Foster City, CA Workplace: Hybrid Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. ABOUT THE ROLE We're looking for a Security Engineer with deep incident response experience to help defend Replit, a fast-moving, cloud-native AI vibe-coding platform. You'll be the person who takes charge when something goes wrong. You'll lead investigations from first signal to root cause, coordinate containment across Security, SRE, and Engineering, and keep stakeholders informed while the incident is moving fast. This isn't a pure responder role. We want a well-rounded security engineer who has run real incidents and wants to make the next one faster. You'll write the scripts, automations, and tooling that take manual work out of triage, evidence collection, and containment. You'll also turn lessons from each incident into better detections, playbooks, and platform hardening.   RESPONSIBILITIES Incident Response - Serve as incident commander or technical lead for security incidents, from detection and triage through containment, eradication, recovery, and post-incident review. - Coordinate response across Security, SRE, Engineering, Legal, and leadership. Drive decisions under pressure and keep a clear record of actions taken. - Communicate incident status, impact, and risk clearly to technical and executive audiences. - Participate in and help shape the security on-call rotation. Investigation & Forensics - Investigate suspicious activity across cloud infrastructure, containers, identity systems, and application layers using SIEM, Cloud Logging, telemetry, and host and container artifacts. - Determine scope, root cause, attacker behavior, and blast radius for confirmed incidents. - Quickly assess whether emerging threats (0-days, active exploitation campaigns, bug bounty findings, customer reports) apply to Replit, and whether we're already affected. IR Automation & Tooling - Build scripts, automations, and tools (Python, Go, Bash, or directly on Replit) that speed up response, such as automated enrichment, evidence collection, credential and session revocation, workload isolation, and alert triage. - Develop and maintain response playbooks and runbooks, and automate them where possible. - Integrate response workflows with SIEM, SOAR, ticketing, and chat tooling to cut time-to-contain. Detection & Continuous Improvement - Turn incident findings into new or improved detections, logging coverage, and visibility. - Lead blameless post-incident reviews and drive remediation items to completion. - Run tabletop exercises and simulations to test readiness and find gaps.   REQUIRED SKILLS & EXPERIENCE - Proven experience leading or serving as technical lead on security incidents in a cloud or SaaS environment. - Strong hands-on investigation skills with SIEM, cloud audit logs, and log-based analysis. Comfortable working through large datasets under time pressure. - Proficiency writing production-quality scripts or tools in Python, Go, or Bash for investigation and automation. - Solid knowledge of cloud architecture and security, especially Google Cloud Platform (IAM, audit logging, GKE, networking). - Working knowledge of Kubernetes and containers, including how to investigate and contain compromised workloads. - Understanding of identity systems, SaaS architectures, and common cloud attack paths (credential theft, privilege escalation, supply chain, token abuse). - Familiarity with software engineering fundamentals, CI/CD pipelines, and package ecosystems, so you can work effectively with Engineering on code-level fixes. - Understanding of IR frameworks and lifecycle (for example NIST 800-61), plus the vulnerability lifecycle and exploitability analysis.   PREFERRED QUALIFICATIONS - Experience building or operating SOAR or other response automation platforms. - Digital forensics experience with cloud, Linux hosts, or containers. - Experience with threat intelligence, threat hunting, or security research. - Experience with bug bounty programs or coordinated vulnerability disclosure. - Familiarity with detection-as-code practices and writing detection rules. - Experience in fast-paced, cloud-native, or AI/ML-driven environments. - Relevant certifications (such as GCIH, GCFA, GCFR), or equivalent hands-on experience. WHAT WE VALUE - Curiosity & initiative: Strong desire to understand attacker behaviors, emerging threats, and how they apply to real-world systems. - Speed & analytical rigor: Ability to quickly assess high-risk vulnerabilities with clear, evidence-based reasoning. - Collaboration: Comfort working across cross-functional teams spanning Security, SRE, Engineering, and Infrastructure. - Clear communication: Ability to explain findings, risks, and mitigation strategies to stakeholders at all levels. - Ownership mindset: Takes initiative to drive investigations, improvements, and remediations to completion. - Continuous learning: Passion for staying up to date on new vulnerabilities, exploit trends, and cloud-native security best practices. Full-Time Employee Benefits Include: 💰 Competitive Salary & Equity 💹 401(k) Program with a 4% match (US Only) ⚕️ Health, Dental, Vision and Life Insurance 🩼 Short Term and Long Term Disability 🚼 Paid Parental, Medical, Caregiver Leave 🏝 Flexible Time Off (FTO) + Holidays 🚗 Commuter Benefits (In-Office & US Only) 📱 Monthly Wellness Stipend 🧑‍💻 Autonomous Work Environment 🖥 In Office Set-Up Reimbursement (In-Office Only) 🚀 Quarterly Team Gatherings ☕ In Office Amenities (In-Office Only) Want to learn more about what we are up to? - Self-driving Company https://replit.com/blog/self-driving-company - Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale - AI Adoption https://replit.com/blog/ai-adoption - Build Open-Source Apps https://replit.com/build/open-source-app-builder   Interviewing + Culture at Replit - Operating Principles https://blog.replit.com/operating-principles - Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.