Вакансии

Location: Ghent, Belgium D-ploy is a dynamic IT and Engineering Solutions company operating across the EMEA region, including Switzerland, Germany, Czech Republic, Austria, the UK, and the USA. We are committed to delivering reliable and efficient services to our clients through strong partnerships and a people-focused culture. We are looking for an experienced Project Manager – Network Services to lead and coordinate IT infrastructure and network-related projects within a dynamic international environment. The ideal candidate is a highly organized, proactive professional with strong project delivery experience, excellent stakeholder management skills, and the ability to drive complex initiatives while ensuring alignment with business objectives and operational requirements. Responsibilities Lead and coordinate network infrastructure and connectivity-related projects, ensuring delivery within agreed scope, timelines, and quality standards. Establish and maintain structured Network Services governance, ensuring clear ownership, defined processes, and alignment with organizational standards. Coordinate internal teams, external vendors, and service providers to ensure effective collaboration and project execution. Manage project plans, milestones, risks, dependencies, and escalations, driving accountability and timely resolution of delivery challenges. Ensure consistent communication and reporting across technical teams, service owners, and senior stakeholders. Ensure project activities follow established change management procedures, documentation standards, and applicable compliance requirements. Requirements Bachelor's or Master's degree in Information Technology, Computer Science, Engineering, Business Administration, or a related field. Extensive experience in IT project management, preferably within network infrastructure, connectivity, or enterprise IT services. Proven track record of successfully delivering complex, cross-functional IT infrastructure projects in international environments. Solid understanding of enterprise networking concepts, network services, and IT infrastructure operations. Experience coordinating internal technical teams, external vendors, and managed service providers. Strong knowledge of project management methodologies, governance frameworks, and IT service management principles. Experience working in complex, process-driven environments with strong governance, quality, and compliance standards is considered an advantage. Excellent stakeholder management, communication, negotiation, and organizational skills. Ability to manage multiple priorities, drive accountability, and work independently in a fast-paced environment. Fluency in English, both written and spoken. PMP, PRINCE2, or equivalent project management certification is considered an advantage. Valid criminal record extract, not older than three months, required. Benefits Broad range of tasks and responsibilities Friendly and international working environment Professional development opportunities Referral program (“Fishing for Friends”) Company-sponsored events Is IT in your DNA?

Проектирование и разработка control-plane компонентов платформы на Python/Go: API эндпоинтов, сервисов управления состояниями, планировщиков асинхронных операций. Разработка и поддержка агентов автоматизации жизненного цикла бэкапов PostgreSQL-кластеров:

Location: Paris Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. Our mission Shape the engineering foundations of Mistral AI’s next generation of compute capacity while improving the resilience of the infrastructure already in service. This role combines technical design leadership with field reliability engineering: you will establish demanding, practical requirements for colocation power and cooling, scrutinize proposed solutions and turn operating experience into better designs, safer changes and more reliable AI capacity. Operating context & accountability Mistral deploys high-density AI infrastructure in colocation facilities, where partners operate the underlying critical plant. You will be Mistral’s technical counterpart to providers, designers, commissioning specialists and internal IT and capacity teams. The position combines forward-looking design authority with hands-on technical investigation and portfolio reliability improvement. It requires depth in one core engineering discipline and the judgment to lead multidisciplinary decisions with specialist support. Key responsibilities — design and technical standards - Own and continuously improve Mistral’s technical design criteria and colocation requirements for new facilities, expansions and retrofits, including availability objectives, failure domains, maintainability and operational flexibility. - Translate GPU platform roadmaps into measurable facility envelopes: IT load and transients, rack density, electrical topology, redundancy, cooling capacity, supply/return temperatures, flow, pressure, water quality and monitoring. - Review utility and MV/LV arrangements, transformers, generators, UPS, switchgear, busway, protection coordination, earthing, power quality and metering for suitability under demanding AI loads. - Review mechanical and controls architecture, including chilled-water and heat-rejection systems, pumps, control sequences, CDU integration, leak detection, filtration, water treatment and cooling recovery scenarios. - Lead multidisciplinary reviews of single-line diagrams, P&IDs, sequences of operation, design calculations, capacity models, failure-mode studies and proposed deviations; document risks and decisions. - Participate in site selection, technical due diligence, provider RFPs, design milestones and commercial technical schedules, challenging assumptions before they become delivery constraints. - Define design review and exception processes that balance performance, resilience, deployment speed, efficiency, capital cost and long-term operability. Key responsibilities — commissioning and delivery assurance - Partner with delivery and commissioning teams to define functional and integrated testing requirements, acceptance criteria, evidence packages and outstanding-defect management. - Validate that electrical and cooling infrastructure can support the contracted AI load envelope under normal, maintenance and credible fault conditions. - Review test scripts and results for loss of utility, UPS/generator transitions, cooling component failures, controls faults, CDU interface events and staged restoration where applicable. - Ensure operational handover includes accurate drawings, asset and interface registers, monitoring points, setpoints, maintenance constraints, emergency procedures and unresolved risk ownership. - Support live-site changes and capacity upgrades with a disciplined review of impact, sequencing, rollback plans and operational readiness. Key responsibilities — field reliability and root-cause analysis - Act as a technical escalation point for recurring or high-impact electrical, mechanical and controls incidents across operational colocation sites. - Analyze alarms, BMS/EPMS trends, event sequences, power-quality records, cooling telemetry, commissioning findings and maintenance evidence to distinguish symptoms from systemic causes. - Lead or challenge technical root-cause investigations with colocation partners, including common-mode failures, protection miscoordination, thermal instability, control logic, hydraulic performance and hidden capacity limitations. - Develop risk-ranked corrective actions and reliability improvement programs; validate effectiveness through evidence and post-change monitoring. - Identify fleet-wide patterns and feed lessons learned into reference designs, acceptance tests, technical specifications and provider governance. - Review maintenance and change proposals that create material exposure to compute availability, providing clear technical recommendations and escalation where required. Key responsibilities — collaboration and leadership - Work with IT hardware, network and platform teams to understand the operational consequences of rack-level and cluster-level failure domains. - Influence colocation providers, consultants and OEM partners through technically rigorous, fact-based reviews without relying on direct operational authority. - Present design trade-offs, reliability risks and investment recommendations in language accessible to engineering leadership and business stakeholders. - Develop reusable standards, technical playbooks and engineering knowledge sharing to support consistent decisions across a rapidly expanding portfolio. What success looks like - New capacity is accepted against well-defined electrical, thermal and resilience criteria with transparent technical exceptions. - Design risks are identified early, reducing late changes, stranded capacity and avoidable operational constraints. - Repeat incidents and unresolved critical engineering defects decrease as corrective actions are verified. - Field experience produces measurable improvements to future designs and live-site operating resilience. Minimum qualifications - At least 8 years in mission-critical data center design, engineering, commissioning or technical reliability, including responsibility for complex technical decisions. - Degree in electrical or mechanical engineering, or equivalent professional experience, with deep knowledge in one discipline and strong working knowledge of the other. - Demonstrated expertise in critical power and cooling architecture, redundancy, failure-mode analysis and operational risk management. - Experience reviewing engineering drawings, calculations, commissioning evidence and root-cause analyses, and coordinating technical specialists. - Ability to influence colocation providers and cross-functional stakeholders; excellent English communication and willingness to travel. Preferred qualifications - Experience with AI/HPC infrastructure, high-density accelerator platforms and direct-to-chip liquid cooling. - Knowledge of CDUs, facility-to-technology cooling interfaces, hydraulic performance, cooling-water quality and leak management. - Experience with electrical protection/selectivity, power quality, controls sequences, integrated systems testing and BMS/EPMS analytics. - Experience creating technical standards across multiple sites or providers, including design deviations and fleet-wide reliability improvements. - Professional engineering registration or equivalent technical credentials. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

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 is seeking a Financial Data and Controls Lead to join our Billing Platform team. Billing Platform builds the systems customers use to transact with Anthropic: subscriptions, usage billing, quote to cash, invoicing, and payments. You'll be the dedicated owner of billing accuracy, reconciliation, and financial controls across those systems, making sure the right checks run, the right controls are in place, and the audit evidence exists. Our billing systems and pricing change often, and each flow needs to meet SOX requirements. Accurate billing is what lets us launch products and pricing quickly and still close the books on time. The hard problems today include validating negotiated pricing from contract to invoice, handling the many forms of credits, app store billing, and keeping controls current while the systems under them are replaced. This is a foundational role and the first hire of its kind on the team. You'll lead a working group of the reconciliation and controls owners from each billing engineering team, and you'll set the approach they follow. You'll work closely with Finance Systems, Accounting, Internal Audit, and Data Engineering. The role sits in Engineering and works with Finance every day. Our Data organization builds the pipelines and owns the warehouse, and you'll use that data and partner with that team. We're looking for an engineer or data practitioner with strong accounting domain knowledge, who can talk to engineers about systems and to Finance and auditors about risk and materiality. Key responsibilities Own reconciliation and accuracy checks for critical billing data (quantity, price, discounts, and invoices) across our product platform, third-party billing and payment providers, app stores, cloud marketplaces, and in-house systems Design and run detective controls that catch billing errors before they reach the accounting books Partner with billing engineering teams to turn repeat checks into automated verifiers Review billing changes that have financial impact, flag the ones that touch SOX or IT application controls (ITACs), and make sure functional test evidence is in place Make SOX review a standard, lightweight step in how billing changes ship, treated like a security review, so launches are not delayed by it Own the end-to-end test strategy and audit evidence for those changes, working with Finance Systems, Data Engineering, Accounting, and Internal Audit Triage billing errors, prioritize backfills and fixes with the owning teams, and track materiality over time Define and maintain the data contracts between billing and finance systems, so downstream teams can find and trust the data they need Lead the working group of reconciliation and controls owners across billing engineering teams, through influence and not reporting lines Act as the Billing owner, alongside Accounting and Finance Systems, for translating the product and pricing roadmap into financial impact, test strategy, and process updates Minimum qualifications Experience building or owning a financial ledger, billing reconciliation, or cash reconciliation system end to end, one that Accounting relied on to close the books Hands-on SQL skills strong enough to take two messy datasets (for example usage events and invoices), match them, find the breaks, and explain the root cause Accounting domain knowledge (order to cash, month-end close, and materiality) sufficient to tell which billing changes have financial impact Experience working with SOX and Internal Audit teams on IT application controls, detective controls, transaction monitoring, functional test evidence, and auditor walkthroughs Experience defining data contracts between billing or product systems and finance systems such as the ERP, general ledger, or revenue recognition Track record of driving work across Engineering, Finance, Accounting, and Audit without direct authority Ability to explain technical issues to Finance and auditors in their terms, and financial risk to engineers in theirs Interest in AI and a commitment to Anthropic's mission of building safe, beneficial AI systems Preferred qualifications Background as a backend, data, or analytics engineer who built a financial ledger or cash reconciliation system from scratch Experience running these systems under public company reporting requirements, and scaling them as the company grew Experience with usage-based or consumption billing Experience with multi-party billing, such as marketplaces, or app stores Experience turning manual checks into automated verifiers with engineering teams Experience remediating a control deficiency, or standing up a controls program while the underlying systems were changing A track record of using Claude or other AI tools to automate reconciliation, testing, or evidence collection, with checks that hold up to review Experience with billing and finance tools such as Stripe, Metronome, Zuora, NetSuite, or Workday Financials Python for data analysis or automation 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: $345,000 — $425,000 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: United States; Germany; The Netherlands Workplace: Remote PROGRAM OVERVIEW The ClickHouse PhD Research Internship Program offers doctoral students the opportunity to pursue ambitious research alongside ClickHouse Labs researchers and engineers working on some of the most interesting challenges in databases, systems, and data infrastructure. Research interns join ClickHouse Labs for approximately 10-12 weeks to explore meaningful research questions, develop new ideas, and investigate technologies that have the potential to advance both the broader research community and the future of ClickHouse. The program is intentionally designed around research collaboration. Interns are paired with experienced researchers and have the opportunity to pursue work that aligns with their academic interests, ongoing research, and areas of interest within ClickHouse Labs. In some cases, an internship may build on research, a prototype, or a system the student has already begun exploring at their university. We believe the strongest research relationships extend beyond a single summer. Interns may continue their work after returning to their university through academic research, open-source contributions, publications, or other forms of collaboration. Where there is a strong mutual fit, an internship may become the beginning of a longer-term relationship between the researcher, ClickHouse Labs, and the broader academic community. During their internship, researchers will have the opportunity to work closely with ClickHouse Labs, engage with ClickHouse's open-source technology and engineering community, share their findings, and contribute to the intellectual life of the broader research community. Program length: 10-12 weeks, with flexibility based on academic calendars and research needs Typical timing: Summer, beginning approximately June 1 Locations: Opportunities available across the US and Europe, subject to role and employment requirements. Remote first. Research environment: ClickHouse Labs Internship format: Research-focused, mentor-supported, and shaped around areas of mutual research interest Compensation: commensurate with experience, a monthly stipend will be paid RESEARCH AT CLICKHOUSE LABS ClickHouse Labs explores ambitious ideas at the intersection of databases, distributed systems, data infrastructure, and the broader systems research community. We believe some of the most interesting advances in these areas happen through close collaboration between industry and academia. ClickHouse Labs brings together researchers and engineers to explore new ideas, investigate challenging technical problems, and connect academic research with real-world systems at scale. Research interns are an important part of that community. Interns have the opportunity to bring their own research interests and perspectives into ClickHouse Labs while working alongside researchers and engineers who are deeply engaged with both the practical challenges and open research questions shaping the future of data systems. PROGRAM GOALS 1. Identify exceptional PhD researchers working in areas directly relevant to ClickHouse. 2. Give researchers the opportunity to work on meaningful, open-ended problems with ClickHouse Labs. 3. Build long-term relationships with researchers and academic institutions. 4. Encourage continued research and open-source contributions after the internship. 5. Create opportunities for co-authored papers, thesis advising, or other academic collaboration. 6. Increase ClickHouse's visibility within the database and systems research community. 7. Publish and share meaningful research outcomes through the ClickHouse website and other appropriate channels. WHAT MAKES THE PROGRAM DIFFERENT This is intentionally not a highly structured engineering internship and should not detailed planning. ****But the high-level problem area and expectations should defined several months before the internship begins. This flexibility is intentional and allows ClickHouse Labs to respond to: - Emerging research questions - Current ClickHouse priorities - New academic research - Interesting systems or database prototypes - Work candidates have already completed - Opportunities to apply new research ideas to ClickHouse The goal is to identify researchers whose work is already closely aligned with areas ClickHouse cares about and then determine the most valuable research problem to pursue together. CANDIDATE PROFILE We are looking for exceptional PhD students conducting research directly relevant to ClickHouse and the broader database/systems space. IDEAL CANDIDATES - Currently pursuing a PhD in computer science or a closely related field - Conducting research in areas relevant to ClickHouse - Demonstrated research excellence - Strong database systems, distributed systems, hardware, or related technical background - Has demonstrated ability to independently pursue complex research questions - Ideally has prior experience with ClickHouse open source but not required**.** - Has research, prototypes, or publications that could translate into meaningful work with ClickHouse - Interested in continuing research beyond the internship - Potential interest in open-source contribution and academic collaboration CANDIDATE SELECTION PHILOSOPHY The strongest candidates will be researchers whose work is specifically relevant to what ClickHouse Labs wants to explore. A candidate who has already: - Worked with ClickHouse - Built a relevant database or systems prototype - Published research in an area relevant to ClickHouse - Explored a technical problem ClickHouse is interested in may be significantly more valuable than a candidate with an otherwise impressive academic profile but no meaningful connection to our research areas. RESEARCH AREAS & PROJECT SCOPE Unlike an engineering internship program, specific projects do not need to be defined when recruiting begins. Research projects may emerge from: - A candidate's existing research - A recent academic paper - A prototype or system the candidate has developed - An emerging ClickHouse Labs research priority - An opportunity to test or extend an existing research concept within ClickHouse IF THIS IS RELEVANT AND EXCITING TO YOU, PLEASE APPLY! 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 | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Reinforcement learning is how Claude learns to reason, write code, and act autonomously over long horizons. At frontier scale, an RL run is a large distributed system: training, sampling, and environment execution run concurrently across a large fleet of accelerators and hosts. As an engineer in RL Engineering, you'll work on keeping that system secure as it scales. This is a hands-on engineering role. You'll work in the RL codebase and the infrastructure underneath it, alongside the engineers and researchers who build and use it. The system is large and changes as fast as the research does, so security work here has to keep up with that pace without costing performance or velocity. We're hiring from two backgrounds: security engineers who want to work on large-scale ML systems, and ML systems or research engineers who want to work on security. Strong candidates have depth in one and real interest in the other. Key responsibilities Design, build, and operate security controls for RL training systems and the infrastructure they run on Work across the stack (orchestration, environments, training, inference) wherever the work is needed Review designs and code across the RL stack, find security problems, and fix them Build shared libraries and tooling that other RL engineers and researchers build on Build the observability needed to understand what these systems are doing Work with researchers and performance engineers to make sure security changes preserve training correctness and performance Write clear design documents for what you build Minimum qualifications Strong software engineering skills in Python and at least one systems language such as Rust, C++, or Go Experience designing, building, and operating large-scale distributed systems or security systems in production Strong understanding of security fundamentals Working knowledge of Linux, containers, and cloud infrastructure Experience debugging complex problems across many hosts and services Ability to reason about tradeoffs between security, performance, and reliability Strong written communication, including design documents Preferred qualifications Experience running ML training or inference infrastructure at scale Experience with infrastructure security, such as isolation, access control, networking, or identity Experience with container orchestration such as Kubernetes, and with sandboxed or virtualized code execution at scale Experience building observability for large fleets Experience supporting research teams or other fast-moving internal users Familiarity with reinforcement learning or large language model training workloads The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 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 role As a Sales Development Manager for Enterprise at Anthropic, you will lead the team that opens our most strategic customer relationships. You'll build and manage a team of 6-10 Business Development Representatives (BDRs) who generate high-value pipeline inside complex enterprise organizations through account-based prospecting, multi-threaded outreach, and rigorous qualification. Enterprise buying is long and involves many stakeholders. The work here is less about volume and more about depth: knowing an account well enough to reach the right people with the right message, and staying with it long enough to turn early conversations into real opportunities. You'll bring a strong understanding of enterprise sales cycles and organizational dynamics, and you'll coach your team to develop strategic accounts over time. You'll partner closely with Enterprise Account Executives and with leaders across Sales, Revenue Operations, Strategy, and Marketing. You'll also develop the next generation of Anthropic's enterprise sellers, helping BDRs grow into Account Executive roles while they help the world's largest organizations adopt safe, frontier AI. Key responsibilities Build, lead, and scale a team of BDRs focused on the Enterprise segment Drive strategic pipeline generation through account-based prospecting and targeted outbound campaigns to Global 2000 accounts Coach your team on partnering with Enterprise Account Executives to develop account plans, coordinate multi-threaded outreach, and ensure high-quality opportunity handoffs Establish and track KPIs focused on opportunity quality, deal size, and strategic account penetration Coach and model for your team on enterprise prospecting, stakeholder mapping, and complex qualification Build a deep understanding of enterprise buying processes, and coach the team on navigating procurement, legal, and security requirements Own pipeline reviews with sales leadership covering enterprise pipeline health, account penetration, and competitive positioning Build strong relationships with cross-functional leaders and partners across Sales, Revenue Operations, Strategy, and Marketing Coach and mentor BDRs on strategic prospecting, executive engagement, and career development toward Account Executive roles Minimum qualifications Experience managing BDR, SDR, or new business Account Executive teams in an enterprise-focused sales organization A track record of building teams that prospect successfully into complex enterprise organizations Experience with account-based selling strategies, including account planning, stakeholder mapping, and multi-threaded outreach Hands-on proficiency with a CRM and sales engagement tooling (e.g., Salesforce, LinkedIn Sales Navigator, or similar), and the analytical skills to design prospecting systems and measure pipeline quality Demonstrated ability to coach representatives on navigating complex organizational structures and multi-stakeholder deals Clear written and verbal communication, including the ability to engage executive-level stakeholders An understanding of Anthropic’s products, ecosystem, and hands on building experience with LLMs Excitement about Anthropic's mission to develop AI that is safe and beneficial Preferred qualifications Personal closing experience as an Account Executive, Account Manager, ideally in a management role Experience managing teams that prospect into Fortune 500 or Global 2000 accounts A track record of developing BDRs who move successfully into enterprise Account Executive roles Experience building enterprise prospecting playbooks where none existed Hands-on experience with Claude, Claude Code, or other AI prospecting tools, and with sales tools such as Apollo and HubSpot Experience in API-first, consumption-based, or platform business models Background in AI or machine learning, cloud infrastructure, or developer platforms Familiarity with enterprise procurement, security review, and legal processes The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $285,000 — $350,000 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: Remote-Friendly (Travel-Required) | 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 go-to-market organization is growing quickly, and our most important priorities for customers and for our field rarely sit within one team. Priorities cut across Sales, Marketing, Customer Success, Product, Revenue Operations, Enablement, Finance, Legal, Partnerships and more. We're looking for a strategic program manager to own these initiatives end to end. You'll start with an ambiguous ask, sometimes from a senior leader and sometimes from a signal in the data. You'll find the root cause of the problem and design a solution with subject-matter experts across the company, then drive it from strategy to planning to results to iteration. You’ll bring stakeholders along while still moving quickly to the right answer. The work ranges from large cross-functional programs to short, focused SWAT efforts on urgent questions. Success looks like making better decisions, faster, for our customers and our field. This is a strategic, highly cross-functional individual contributor role for someone equally comfortable building a business case, running a forum with senior stakeholders, getting into the data, and working directly with the field. You'll operate with high autonomy on the most critical GTM questions we face. Key responsibilities Own a portfolio of strategic GTM programs end to end, each starting from a business problem (e.g., customer activation, seller efficiency, model launches) and running from scoping through launch, operationalization, results, and iteration Act as a thought partner to Sales and GTM leaders: identify, scope, and prioritize the programs most worth doing, and say no to the rest Turn ambiguous, loosely scoped problems into structured analysis, a defensible model, and a clear plan with owners, milestones, and decision points Align and drive teams across Sales, Marketing, Customer Success, Product, Revenue Operations, Enablement, Finance, Legal, and Partnerships without formal authority over any of them Engage senior executives on the status and outcomes of the most critical programs Manage change so new programs are adopted by the field, and define and report on success metrics such as adoption, time-to-value, and productivity impact Use AI tools every day to analyze, model, and build faster Create the templates, cadence, and reporting that help every future program launch well Minimum qualifications Have led complex cross-functional programs from problem definition through delivery, in strategy consulting, strategy and operations, GTM or sales programs, or program management A track record of turning ambiguous problems into clear, defensible recommendations Have driven initiatives to completion across teams you do not manage, including when senior stakeholders disagreed Analytical skills: building a business case and quantitative model, defining targets, and pulling and analyzing your own data from CRM and BI tools Clear written and verbal communication, with experience presenting analysis and recommendations to senior and executive audiences A working understanding of how an enterprise sales organization operates Have built programs or processes where none existed, and owned the outcome through to results Are motivated by Anthropic's mission to develop AI that is safe and beneficial Preferred qualifications A background in strategy consulting followed by an in-house role where you built and ran programs and strategic projects Experience running sales or GTM programs with measured results, such as pipeline, activation, adoption, or launch programs Experience working within a sales operating cadence, such as forecast calls and pipeline reviews, Sales planning, product launches Hands-on experience using AI tools daily to work faster and more rigorously, including building workflows with Claude or similar tools Experience at a company selling technical or AI products Experience as an early hire in a new team or function The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $270,000 — $310,000 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: Remote: United States; San Francisco HQ; Remote: Canada Workplace: Remote At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. About the Role Billing is mission-critical to Render’s success. Every service, database, and workload that runs on Render ends up on an invoice, and customers trust us to get that invoice right. As Senior Engineering Manager for the Billing team, you’ll lead the organization that makes sure customers are billed accurately, reliably, and transparently as Render scales. You’ll set the multi-quarter strategy and own the technical direction, people, and execution behind Render’s usage-based billing systems: how usage is captured, how it flows through our data pipelines and third-party billing platforms, and how it lands as a correct charge. You’ll be Engineering’s senior partner to Finance, Product, and Customer Experience leadership, turning pricing, reporting, and customer needs into a roadmap your team can ship. This role is for a seasoned technical leader who wants to build the organization, the leaders, and the systems that keep billing right as usage, pricing, and our customer base keep growing. What You’ll Do - Lead and grow the Billing engineering team, which owns how Render turns platform usage into accurate charges: usage capture, data pipelines, third-party billing platforms (Orb, Metronome, Stripe, or similar), and invoicing - Own the roadmap for Render’s billing systems, from usage metering through invoicing, reconciliation, and financial reporting - Drive billing correctness and reliability: build the monitoring, reconciliation, and testing that catch errors before customers do - Partner with Finance, Product, and Customer Experience to align the roadmap with pricing, reporting, and customer needs - Hire and develop engineers to support planned team growth, while keeping the team’s focus clear as billing scope expands - Make key architectural decisions, balancing long-term billing platform investment against near-term pricing launches and fixes - Build a strong performance management and career development practice for a team that includes senior ICs What We’re Looking For - Strong people leadership — the top priority for this role - Hands-on enough to review code, prototype, and contribute directly when it helps the team - Comfort operating in ambiguity, with adaptability and a growth mindset - Proven experience building and scaling teams, ideally growing a group from a handful of engineers into a larger org - Experience managing engineers; including senior and staff engineers; hiring, and performance management - Hands-on experience with usage-based billing, payments, or other revenue-critical systems, including third-party platforms like Orb, Metronome, or Stripe - Ability to partner closely with Finance, Product, and Customer Experience without needing to fill those functions yourself - Strong business instincts, with the ability to connect engineering investment to billing accuracy, revenue, and customer trust - Background from either a startup or a larger company is fine. What matters is experience and ability to operate in a fast-paced environment Nice-to-Haves - Experience leading a billing platform migration or a pricing model change. - Familiarity with financial reconciliation and reporting processes. - Background in distributed systems or event-driven architectures. - Experience building for developer platforms, cloud infrastructure, or DevTools. If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view

Location: San Francisco Bay Area, CA Workplace: Hybrid About Teleport Don't wait for the future of infrastructure. Be part of it. Teleport is the AI Infrastructure Identity Company. We're solving one of the hardest problems in security: giving every human, machine, workload, and AI agent a cryptographically secured identity, improving engineering velocity while maintaining security. We make trusted computing simple. This gives you the freedom, power, and autonomy to build and innovate with confidence. Remote-first and globally distributed, we work with companies like Nasdaq, DoorDash, and Elastic to secure infrastructure for an AI world. ABOUT THE ROLE Reporting to the COO, the VP of Finance will serve as the senior financial executive responsible for the full spectrum of corporate finance, including FP&A, accounting, strategic planning, board reporting, and IPO-readiness. You will manage a high-performing finance team, build the systems and processes that support a scaling infrastructure as a service business, and act as a trusted advisor to leaders across the organization. This is a high-ownership role for a builder who is equally comfortable in the boardroom and in the details. A successful hire will be able to turn complex business data into clear strategic guidance and scale a lean finance function without losing rigor by leveraging the latest technology available. There is not currently a CFO in place, so there is also potential room for growth into that role for high performers. WHAT YOU'LL DO Financial Planning & Strategy - Serve as a strategic thought partner to the COO and CEO — bringing a financial lens to company-level decisions on market positioning, competitive strategy, pricing, geographic expansion, and capital allocation - Co-own the company’s long-range strategic plan alongside executive leadership, shaping not just the financial expression of strategy but the strategy itself - Identify the financial and operational levers that drive sustainable growth, and advocate for resource allocation decisions that reflect Teleport’s most important strategic bets - Own the annual planning and quarterly forecasting cycles, delivering accurate, driver-based financial models across revenue, cost, and headcount - Lead scenario analysis and sensitivity modeling to pressure-test strategic options and support key investment decisions - Translate financial data into clear, actionable insights for the COO, CEO, and Board of Directors by connecting day-to-day performance to long-term strategic goals Accounting & Controls - Oversee all accounting operations including monthly close, revenue recognition (ASC 606), and financial statement preparation - Maintain and strengthen internal controls, ensuring compliance with US GAAP and audit readiness - Manage relationships with external auditors and tax advisors Board & Investor Reporting - Prepare board-level financial packages, investor updates, and management reporting with clarity and precision - Support fundraising, debt financing, and M&A diligence processes as needed - Develop the financial narrative for investors and analysts, underpinned by robust SaaS metrics Business Partnering - Partner closely with Sales, Product, Engineering, and People leaders to drive financial accountability across the business - Own financial metrics and provide regular performance analyses - Support revenue operations, pricing strategy, and go-to-market financial planning Team & Systems Leadership - Lead, mentor, and scale a high-performing finance team including FP&A, accounting, and revenue operations - Drive the selection, implementation, and optimization of financial systems and tools (ERP, FP&A platforms, billing infrastructure) - Build scalable, automated financial processes that support rapid growth and eventual public-company readiness - Champion and model the use of AI and modern technology tools — actively embedding automation, AI-assisted analysis, and intelligent workflows into finance operations to move faster, reduce manual work, and raise the quality of output - Set the standard for technology fluency on the finance team: encourage experimentation with tools like Claude and other AI systems for modeling, reporting, and documentation, and create space for the team to share what works WORKING AT TELEPORT IN THE AGE OF MODERN TECHNOLOGY At Teleport, using the best available tools and systems isn’t a nice-to-have — it’s part of how we work. We expect every Teleporter to actively adopt modern technology to do their job better: move faster, think harder, and produce work they’re proud of. That means embracing automation, better documentation systems, analytics, and tools like Claude regularly, bringing technology into your problem-solving, and sharing what works with your team. WHAT WE'RE LOOKING FOR - 18+ years of progressive financial leadership experience, with significant time as VP of Finance, CFO, or equivalent senior finance executive - Proven record of success at a high-growth B2B Cybersecurity, SaaS or infrastructure technology company in Series D/E/F stages with over $200mln in ARR - Strong command of GAAP accounting, SaaS financial metrics, financial controls, and audit processes - Demonstrated experience supporting a company through key inflection points — Series C+, late-stage private, or IPO preparation - Outstanding communication skills — able to present complex financial matters to executive teams, boards, and investors with confidence and clarity - Proven ability to build and lead high-performing, geographically distributed finance teams - Hands-on experience evaluating, selecting, and scaling financial systems (NetSuite, Workday, Adaptive Insights, or comparable platforms) - Collaborative, data-driven decision-maker who thrives in a fast-moving, distributed environment - Ability to be in-person in our HQ in Oakland, CA, a few times a week for in-person collaboration with the executive team. NICE TO HAVE - CPA, CFA, or MBA from a leading program - Experience taking a company through late stage private funding stages and IPO - Open-source or developer-tools experience. Why Teleport You're joining a company where the problem is real, the team is small, and your work shows up directly in the product. We're not a big company, you won't get lost in a crowd. You'll have the freedom and autonomy to do what you're great at, alongside teammates who care about doing it right and want to see you succeed. The work is collaborative, there's real room to grow, and the mission is one worth showing up for. Remote-first and globally distributed, we're genuinely passionate about what we're building. The Benefits At Teleport, we believe your career is more important than a list of perks. That's why we focus on making your day-to-day the best it can be — giving you the autonomy, access, and support to do the best work of your career. - Extensive health coverage - Annual expense budget - Rest and recovery policies that maximize your ability to recharge - Investment in your future with retirement savings plans - Professional development opportunities Teleport is an equal opportunity employer and does not discriminate against any employee or applicant on the basis of age, color, disability, gender, national origin, race, religion, sexual orientation, veteran status, or any classifications protected by federal, state, or local law. Candidate Privacy Notice: For information about our collection and processing of job applicant personal data for this position, please see our Job Applicant Privacy Policy and Notice of Collection at goteleport.com/legal/apply/job-applicant/ http://goteleport.com/legal/apply/job-applicant/

Location: Athens Workplace: Hybrid About the company: KIEFER is building Greece's integrated AI ecosystem. From renewable energy infrastructure and AI systems to robotics and enterprise applications, we connect the technologies that power Europe's intelligent future. Founded in 2014, KIEFER has delivered 600MW+ of energy projects and is now developing sovereign AI infrastructure, enterprise AI products and physical AI systems for Greece and Southeast Europe. About the role We are looking for an ML Engineer to develop capabilities that work on physical robots. You will take ideas from model and data experiments through robotics integration and evaluation on real hardware. Our fleet includes Unitree Go2, G1, H1, and B2 robots using NVIDIA Jetson Orin and Jetson Thor compute. Current areas of focus include navigation, learned policies, vision-language-action models, and robotics data. What you will do - Develop, train, adapt, and evaluate models for navigation, perception, planning, and robot behavior. - Apply suitable methods such as imitation learning, reinforcement learning, or vision-language-action approaches. - Build data collection and evaluation pipelines using real-world and simulated robotics data. - Integrate models with robotics software, sensors, actuators, and control systems. - Test on physical robots, measuring task success, sim-to-real performance, on-device latency, and failure modes. - Work with ML, Engineering, robotics specialists, and Product to improve reliability and move prototypes toward repeatable deployment. What you will need - 3+ years of relevant ML or robotics engineering experience, or equivalent impact taking research into real-world systems. - Hands-on experience developing and evaluating ML-enabled systems on physical robots. - Strong Python and production software engineering skills, including experience with ROS or a comparable robotics framework. - A strong ML background in robot learning, perception, imitation learning, reinforcement learning, multimodal models, or a related area. - Experience with robotics data, simulation, experiment design, and evaluation on real hardware. - Practical understanding of sensors, actuators, control loops, latency, and hardware debugging. Nice to have - Vision-language-action models, multimodal foundation models, or generative world models. - Experience with humanoids, mobile or dexterous manipulation, or other complex robotic platforms. - Sim-to-real transfer, teleoperation, human demonstration data, or large-scale robotics data collection. - C++, low-level control, tactile or force sensing, or real-time systems. What is there for you - Compensation: Competitive package aligned with talent benchmarks. - Impact: Hands-on work shaping AI capabilities for Kiefer Tech’s products and real-world applications. - AI-native environment: Real challenges across model development, evaluation, and production AI systems. - Culture: Engineering-first, high autonomy, low bureaucracy, and space to shape meaningful AI products.

Location: Canada (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. The Opportunity: The Finance Systems team is seeking an experienced Netsuite Systems Manager with strong functional and IT support experience to join the team. In this individual contributor role you will be responsible for administration, configuration, and support for our Netsuite ERP system and associated Finance Business Systems. Additionally, you will be a Finance Systems thought leader and champion of best IT/functional practices, IT General controls, and process improvement automation. Reporting directly to Sr Director of Finance Systems, you will collaborate closely with Business Application, Sales Operations, IT, and our Finance team. This position is 100% remote. What You’ll Be Doing: Netsuite System Administration Own day-to-day operations of NetSuite, and other Finance Business systems including hands on user support and troubleshooting. Administer and support the NetSuite ERP system, focusing on Financial, Advanced Revenue Management (ARM), and Zone billing module Perform system configuration, customization, upgrade and maintenance along with compliance in change management, ITGC, and SDLC processes. Develop and maintain workflows, custom fields, and scripts. Manage NetSuite integrations with other business systems. Oversee user access management, SOD Reviews, and annual/quarterly review process to resolve segregation of duties conflicts. Oversee the governance, change management, end to end maintenance including general ledger accounts, cost centers, products, and any other necessary structures to support the reporting needs of key stakeholders. Manage ticketing system for tracking open cases/change request to resolution Optimize system settings, workflows, and customizations for maximum efficiency. Ensure data integrity and compliance with SOX regulations. Provide training and support to end-users. Program Management Manage/Configure finance transformation projects focusing primarily on the order to cash cycle, encompassing Lead/Opportunity, Contract Management, Quoting/CPQ, Order Management, Revenue Recognition, Billing, Credit, Collections/Disputes, and Cash Application processes. Collaborate with cross-functional teams such as Sales, Legal,Engineering, Finance and IT to gather requirements and implement solutions that enhance business processes. Identify, scope, and prioritize projects based on business needs. Develop detailed project plans, including approach, timelines, milestones, and resources, ensuring on-time and within-budget project delivery. Define data-driven frameworks and processes to identify, measure, and manage program success, focusing on business value, including benchmarking. Ensure procedures, processes, and proper change controls are followed on all production changes and implementation projects Work with sales operations and biz app teams on system enhancements. Dashboard Creation and Reporting Utilize NetSuite's native tools and our very own Grafana dashboard to create high-performing dashboards tailored to Finance needs. Develop reports and visualizations to provide actionable insights from finance data. What Makes You a Great Fit: Bachelor’s Degree or higher in computer Science, information technology, accounting, finance or a related field. 6+ years of progressive experience with as a Finance System Administrator with Netsuite  and financial systems tools such as Zip, Avalara, Expensify etc Hands-on IT support experience, including troubleshooting and resolving functional & technical issues. Experience with data migration, data mapping, and data integration within Netsuite including the Advanced Revenue Management (ARM) module including Zone and Company billing module,and  Salesforce integration. Administrator-level knowledge of privileged access, content groups, multiple charts of accounts, dynamic approval chains, custom objects, tax codes, tolerances, custom workflows, supplier configuration, and report building Knowledge of ITGCs and experience working in SOC, ISO, and SOX compliant environments Demonstrated experience integrating accounting systems with Salesforce / SFDC, ideally including CPQ and experienced level with Netsuite Advanced Revenue Management (ARM) Experience with project management concepts and tools such as Github, Monday.com and Miro. Sharp analytical skills coupled with the ability to troubleshoot complex system issues with ease Knowledge of core accounting processes such as order to cash, procure to pay, record to report. Highly motivated with the ability to work in a rapidly changing global and remote environment You work well in both a team environment and independently Excellent communication skills with the ability to speak cross-functionally Compensation & Rewards: In the United States, the Base compensation range for this role is $ 145,000 - $175,000 CAD. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. The Opportunity: The Finance Systems team is seeking an experienced Netsuite Systems Manager with strong functional and IT support experience to join the team. In this individual contributor role you will be responsible for administration, configuration, and support for our Netsuite ERP system and associated Finance Business Systems. Additionally, you will be a Finance Systems thought leader and champion of best IT/functional practices, IT General controls, and process improvement automation. Reporting directly to Sr Director of Finance Systems, you will collaborate closely with Business Application, Sales Operations, IT, and our Finance team. This position is 100% remote. What You’ll Be Doing: Netsuite System Administration Own day-to-day operations of NetSuite, and other Finance Business systems including hands on user support and troubleshooting. Administer and support the NetSuite ERP system, focusing on Financial, Advanced Revenue Management (ARM), and Zone billing module Perform system configuration, customization, upgrade and maintenance along with compliance in change management, ITGC, and SDLC processes. Develop and maintain workflows, custom fields, and scripts. Manage NetSuite integrations with other business systems. Oversee user access management, SOD Reviews, and annual/quarterly review process to resolve segregation of duties conflicts. Oversee the governance, change management, end to end maintenance including general ledger accounts, cost centers, products, and any other necessary structures to support the reporting needs of key stakeholders. Manage ticketing system for tracking open cases/change request to resolution Optimize system settings, workflows, and customizations for maximum efficiency. Ensure data integrity and compliance with SOX regulations. Provide training and support to end-users. Program Management Manage/Configure finance transformation projects focusing primarily on the order to cash cycle, encompassing Lead/Opportunity, Contract Management, Quoting/CPQ, Order Management, Revenue Recognition, Billing, Credit, Collections/Disputes, and Cash Application processes. Collaborate with cross-functional teams such as Sales, Legal,Engineering, Finance and IT to gather requirements and implement solutions that enhance business processes. Identify, scope, and prioritize projects based on business needs. Develop detailed project plans, including approach, timelines, milestones, and resources, ensuring on-time and within-budget project delivery. Define data-driven frameworks and processes to identify, measure, and manage program success, focusing on business value, including benchmarking. Ensure procedures, processes, and proper change controls are followed on all production changes and implementation projects Work with sales operations and biz app teams on system enhancements. Dashboard Creation and Reporting Utilize NetSuite's native tools and our very own Grafana dashboard to create high-performing dashboards tailored to Finance needs. Develop reports and visualizations to provide actionable insights from finance data. What Makes You a Great Fit: Bachelor’s Degree or higher in computer Science, information technology, accounting, finance or a related field. 6+ years of progressive experience with as a Finance System Administrator with Netsuite  and financial systems tools such as Zip, Avalara, Expensify etc Hands-on IT support experience, including troubleshooting and resolving functional & technical issues. Experience with data migration, data mapping, and data integration within Netsuite including the Advanced Revenue Management (ARM) module including Zone and Company billing module,and  Salesforce integration. Administrator-level knowledge of privileged access, content groups, multiple charts of accounts, dynamic approval chains, custom objects, tax codes, tolerances, custom workflows, supplier configuration, and report building Knowledge of ITGCs and experience working in SOC, ISO, and SOX compliant environments Demonstrated experience integrating accounting systems with Salesforce / SFDC, ideally including CPQ and experienced level with Netsuite Advanced Revenue Management (ARM) Experience with project management concepts and tools such as Github, Monday.com and Miro. Sharp analytical skills coupled with the ability to troubleshoot complex system issues with ease Knowledge of core accounting processes such as order to cash, procure to pay, record to report. Highly motivated with the ability to work in a rapidly changing global and remote environment You work well in both a team environment and independently Excellent communication skills with the ability to speak cross-functionally Compensation & Rewards: In the United States, the Base compensation range for this role is $ 144,000 - $173,000. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking an experienced Corporate Development professional to drive key strategic initiatives, including sourcing and executing acquisitions and strategic partnerships. In this role, you will partner directly with key members of Anthropic's leadership team to shape our growth strategy and help build the ecosystem around safe, beneficial AI, grounded in Anthropic’s strategic priorities. As a critical strategic partner, you'll identify opportunities for expansion, lead complex transactions, and ensure successful integration of new capabilities into our organization. The ideal candidate brings a unique combination of strategic thinking, technical understanding, and execution capability. You're passionate about AI safety and Anthropic's mission to create AI systems that are helpful, harmless, and honest. You thrive in ambiguous environments and can navigate complex negotiations while maintaining strong relationships across multiple stakeholders. Key responsibilities Help shape the corporate development function, establishing best practices across the full spectrum of transactions from acquihires to transformational acquisitions Partner closely with cross-functional product, engineering, and research teams to understand and assess the technical and strategic value of potential opportunities Lead end-to-end transaction processes, from initial sourcing through due diligence, negotiation, and integration Create streamlined processes for rapid evaluation and execution of technical talent acquisitions Build and maintain relationships with entrepreneurs, venture capitalists, and strategic partners in the AI ecosystem Conduct comprehensive market analysis to identify emerging trends, competitive dynamics, and growth opportunities in AI and related technologies Structure and negotiate complex deals, working closely with legal, finance, and other cross-functional teams Drive post-transaction integration efforts, ensuring successful realization of strategic objectives Develop financial models and valuation analyses to support investment decisions Present strategic recommendations to executive leadership and board members Support the growth of Anthropic's partnership ecosystem, including relationships with cloud providers and enterprise customers Minimum qualifications Possess strong technical understanding through either work experience (as a software engineer, product manager, or investor) or educational background (Computer Science degree or equivalent) Demonstrate exceptional analytical and financial modeling skills Have experience leading complex M&A transactions or strategic partnerships in technology sectors Excel at building relationships and can effectively engage with technical and business stakeholders Are comfortable operating in fast-paced, ambiguous environments with competing priorities Possess outstanding communication skills, both written and verbal, with ability to influence at all levels Have a deep interest in AI safety and alignment with Anthropic's mission Preferred qualifications Have 12+ years of corporate development experience, with demonstrated success building or significantly scaling corp dev functions at high-growth technology companies Have direct experience in AI/ML companies or deep learning research environments Bring an established network within the AI startup ecosystem and venture capital community Have led post-merger integration efforts or built new business units from the ground up Possess an MBA or advanced technical degree Have experience negotiating complex strategic partnerships with major technology companies Demonstrate a track record of identifying and executing transformational opportunities Show experience with international expansion or cross-border transactions 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: $1 — $2 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 role Anthropic’s mission is to ensure that the world safely makes the transition through transformative AI. Security is one of the clearest places where that mission plays out: the same capabilities that help attackers move faster can help defenders move faster too, and helping them use those capabilities safely and well is what this team is for. Security teams are among the earliest and most demanding users of frontier AI. They use Claude to review code at scale, find vulnerabilities before attackers do, and work through alert queues their analysts can’t keep up with. Anthropic’s Applied AI organization is building a dedicated Security team to help them do this well, and we are looking for its first leader. You will build this team from zero. You’ll decide which security customers the team serves first, who you hire and in what order, and how the team works with Sales, Applied AI Engineering, and our security, legal, and trust partners. You’ll also stay hands-on with a few of our most important security customers, because what you learn in those accounts becomes the playbook for everyone else. You’ll also set the standard for how security customers use Claude responsibly, including where a person has to review the output before anyone acts on it. What you’ll do Hire, onboard, and develop the first Applied AI Architects on the Security team. Coach senior and early-career architects differently, and give each one clear goals. Decide where the team spends its time: which segments and account types come first, which deals get architect coverage, and how to say no clearly when demand outruns headcount. Partner with security account executives on joint account plans, regular pipeline and forecast reviews, and deals where the customer’s security review sets the close date. Guide customers from discovery through evaluations and proofs of concept with written success criteria. Then take them from one-time code scans to sustained workloads: application security in the development lifecycle, continuous automated penetration testing, alert triage and investigation, and vulnerability and threat intelligence. Work alongside the security ISVs, systems integrators, and managed security providers already in our customers’ accounts. Keep a clear line between what Anthropic delivers and what partners deliver. Bring in Applied AI Engineers and our security, legal, and trust teams when a customer’s build or review needs them. Write the first security playbooks, reference implementations, and evaluation approaches. Bring what you learn back to Product, Engineering, and Research, so Claude becomes more useful and more trustworthy for defenders at the same time. Carry a small number of strategic security accounts yourself, from executive briefings with CISOs to hands-on workshops with their engineers. You may be a good fit if you Have 12+ years of industry experience with at least 4 years  managing a team of customer-facing technical people, such as solutions architects, sales engineers, or security consultants, and can show how the team grew and performed under you. Have hands-on security depth in at least one area, such as application security, detection and response, offensive security, or vulnerability management, deep enough that practitioners trust your judgment . Application security experience highly preferred. Have used LLMs for real security work, such as code review, vulnerability discovery, triage, or investigation, and can say where they helped and where they failed. Have worked large enterprise security deals end to end, including customer security reviews, in close partnership with sales. Care about making AI both safe and useful for defenders, and can explain security risk and value to a CISO and to the engineers who will run the work, in terms each one cares about. 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: $1 — $2 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: USA (Remote); Canada (Remote) Workplace: Remote Mysten Labs’ mission is to advance the internet through step-function improvements in what technology makes possible. We build foundational infrastructure and products that give people, businesses, and developers new ways to interact, transact, and create value. Our work spans on-chain finance and the emerging agent economy. Through Sui, Move, and our broader technology stack, we’re building the systems that make these experiences possible - from secure, scalable blockchain infrastructure to new ways for businesses and AI agents to interact. Mysten Labs is looking for a hands-on Security Engineer with strong application security fundamentals and a track record of finding and fixing real vulnerabilities. You’ll own bug bounty programs and external audits, secure our code and software supply chain, and build tooling that protects Mysten’s products and users across the Sui ecosystem. Responsibilities - Run Mysten's bug bounty programs: triage, severity, responses, internal escalations, fix validation, and the budget and payouts. Turn recurring report classes into automated checks. - Own audit engagements: scope and schedule external audits, act as the technical counterpart during the engagement, and track findings through remediation and fix validation. - Conduct code and design reviews of systems built by Mysten, its subsidiaries and partners (Rust, TypeScript, Move). Drive issues to conclusion, including investigation and incident response, and run variant analysis so each bug class is closed everywhere it occurs. - Own software supply chain security: dependency and CI/CD malware defenses, Endor Labs, the code security service (GitHub controls, merge bots), and the ongoing code security self-auditing service. Detect and respond to compromised packages, maintainers and build pipelines, and secure the provenance and signing of what Mysten ships. - Build and improve anti-scam and anti-abuse tooling for the Sui ecosystem: detect phishing sites, malicious dApps, drainer contracts and other threats that target Sui users, and work with wallet teams on mitigations. - Build security tooling: LLM-driven triage and review agents, and static and dynamic analysis (taint, call graphs, fuzzing) wired into CI and code review. Build in known-clean checks so people trust the results.   MINIMUM QUALIFICATIONS - Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience. - 3+ years of hands-on experience in security engineering, application security or product security, with a track record of finding real vulnerabilities (bug bounty reports, audit findings, CVEs or published research). - Strong Web2 security fundamentals: XSS, CSRF, SSRF, authorization flaws, injection, deserialization, software supply chain failures, cryptographic failures. - Proficiency in one or more of Rust, TypeScript, Python or Move, and experience reviewing and writing security-sensitive code. - Hands-on knowledge of software supply chain attack surface: package ecosystems (npm, crates.io http://crates.io, PyPI), CI/CD (GitHub Actions workflow injection, token exposure, unpinned actions), and build provenance. - Solid understanding of applied cryptography fundamentals and the common ways cryptographic systems are misused in practice. - Experience on either side of a bug bounty program or an audit engagement. - Strong written and verbal communication, including the ability to influence teams you have no formal authority over. - Interest in the web3 space is required.   PREFERRED QUALIFICATIONS - Smart contract or wallet security: Move, Solidity or Rust-based chains; Sui's object and capability model is a plus. - Static or dynamic program analysis: CodeQL, Semgrep, taint analysis, fuzzing, symbolic execution. - Experience building security tooling with LLM agents (Claude Code skills or comparable), and a clear sense of where models help and where deterministic tooling has to do the work. - Anti-phishing, anti-fraud or trust & safety experience: domain and content monitoring, crawling, classifiers, threat intelligence. - Knowledge of recent crypto incidents and the defect classes behind them: drainer kits, DeFi frontend compromises, package-registry compromises. - Notable bug bounty rankings, CVEs, publications or conference talks. Employment is contingent upon the successful completion of a background check, which may include verification of employment history, education credentials, criminal history, and other relevant information. Regarding the recent rash of technology job scams: Be aware that emails from genuine Mysten Labs group recruiters will always come from the @mystenlabs.com http://mystenlabs.com domain or related subdomains (e.g., mystenlabs.com/careers http://mystenlabs.com/careers). Remember: you can always verify positions on our job boards at www.mystenlabs.com/careers http://www.mystenlabs.com/careers. To support an efficient and fair hiring process, we may use technology-assisted tools, including artificial intelligence (AI), to help identify and evaluate candidates. All hiring decisions are ultimately made by human reviewers. Our team is remote first and we are hiring across the world. Here at Mysten Labs, you’ll be joining a world-class team with tremendous growth potential as we bring the next billion users to web3. We raised a $300M Series B round from top Silicon Valley led venture funds like Jump Crypto, Andreessen Horowitz (a16z), Binance Labs, Redpoint, Lightspeed, Coinbase Ventures, Electric Capital, Standard Crypto, NFX, Slow Ventures, Scribble Ventures, Samsung Next, Lux Capital, among other investment firms and strategic partners. Come join us and build the future of web3!

Location: 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 Platform Safety builds the infrastructure that lets Anthropic bring its most capable models to more people, safely and securely. Our systems decide both who can access our most advanced models, and what capabilities they can access, wherever Claude is available. That includes identity and business verification, trusted access programs, and the core services that grant, hold and enforce model access across our products. These systems already power the Cyber Verification Program, which now includes Project Glasswing, and the Life Sciences Verification Program with further more advanced use cases in development. As a Staff+ engineer, you'll help set the technical direction for this work. The foundations are live and adoption is growing quickly, so the next challenge is scale: making access a matter of configuration instead of code, making verification reusable, and giving customers a consistent experience on every surface. You'll work closely with safeguards, product, design and research to turn safety policy into systems that are easy to use and enforce. You'll also take new 0 → 1 efforts from idea to delivery as new capabilities and programs emerge. What you'll do You'll design, build and operate the systems that decide who gets access to our most capable models. You'll build the platform that lets teams across Anthropic launch and run trusted access programs, moving access rules out of code and into data so that launching a new model or complex program is simple and scalable. You'll build out our identity and business verification system (KYC/KYB) as a reusable service that any program can use, which means integrating verification vendors, protecting sensitive personal data, expanding into new regions, and building fair review and appeal paths for customers. You'll also evolve the core services behind every access decision, including the services that grant and hold access and the customer and user identity models they rely on, and keep them highly available and consistent across our own products and cloud platforms. You'll shape the architecture through clear written proposals, review key designs, and mentor engineers on a growing team. You'll also share on-call, lead incident response, and support emerging new programs. You might be a good fit if you: Have a minimum of 8 years of practical experience as a backend or platform engineer, ideally at tech lead level or equivalent, and are comfortable working across the stack when the problem calls for it Have strong product sense, and work closely with cross-functional partners, including non-engineers, to shape and execute strategy in new domains Use AI tools as a regular part of how you design, build and review software Have designed and operated production distributed systems on a critical path, where correctness, latency and availability all matter Take full ownership of your work, from design through build, deployment, operations and iteration Navigate ambiguity and make sound technical decisions independently, have set technical direction that other engineers and teams adopted, and have ideally operated in both 0 → 1 and more mature settings Care about building robust, scalable systems that other engineers and businesses love to use Care about the societal impacts of your work and Anthropic's mission to build safe, beneficial AI Strong candidates may also have: Identity, access control or authorization systems at scale Fraud, risk, trust and safety, or KYC/KYB systems, including working with verification vendors Regulated or compliance-sensitive environments, including handling sensitive personal data Integrating with cloud platforms or partner ecosystems such as AWS, Google Cloud and Azure Deadline to apply: None. Applications will be reviewed on a rolling basis. Location Preference: Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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: Toronto, Ontario Workplace: Hybrid Artificial Intelligence. Actual Impact. At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses. We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive. So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops. THE ADVENTURE AHEAD 🚀 As a Staff Product Engineer at Docebo, you won't just ship features—you will define product direction and solve high-impact, ambiguous technical challenges across our entire ecosystem. Operating at the dynamic intersection of product strategy, full-stack architecture, and AI-accelerated execution, you will design scalable, long-lived systems that power the future of work-based learning. In this pivotal role, you will elevate both our modern tech ecosystem and the engineers around you, turning complex technical possibilities into seamless experiences for millions of learners worldwide. THE DAY-TO-DAY 🛠️ - Architect the Future: Define long-term architectural standards and design resilient systems, leveraging our modern stack—including serverless services, Node.js (TypeScript), Golang, PHP, Angular, React, and AWS cloud infrastructure—to maximize performance and developer velocity. - Lead High-Impact Initiatives: Spearhead complex, end-to-end, cross-functional product initiatives from problem framing straight through to measurable business outcomes. - Shape Product Strategy: Partner closely with Product and Design leaders to influence roadmaps, test assumptions, and ensure technical leverage is built into strategic decisions. - Create AI-Powered Leverage: Institutionalize AI-assisted development practices, standards, and guardrails to help our teams safely ship faster with dramatically higher output. - Elevate Engineering Excellence: Raise the bar across CI/CD, observability, testing, and operational reliability while eliminating systemic bottlenecks across teams. - Connect with Customers & Impact: Engage directly with internal stakeholders and customers to deeply understand pain points, using product analytics tools to design experiments and measure results. - Mentor and Multiply: Coach engineers across disciplines on architecture, product thinking, and AI tools, driving alignment and leading through technical credibility. YOUR SUPERPOWERS ⚡ - SaaS Mastery: 10–12+ years of full-stack software development experience with a proven track record of designing, building, and shipping complex SaaS products end-to-end. - Language & Tech Agility: Experience working with multi-language backends and frameworks—our stack uses PHP, Node.js, Golang, Angular, React, and serverless technology—and a readiness to tackle scalability, ADRs, and performance tasks in PHP services without requiring prior PHP proficiency. - AI-Assisted Power: Mastery of AI-assisted development tools (Claude Code, Cursor, Codex, or similar) with a habit of leveraging them daily to supercharge software output. - Analytics & Experimentation Drive: Advanced fluency with product analytics platforms (PostHog, Amplitude, Mixpanel) and comfortable driving experimentation through feature flags and A/B testing. - DevOps & Cloud Proficiency: Advanced experience with CI/CD pipelines, cloud environments (AWS), containerization (Kubernetes), and modern observability practices. - Ambiguity Navigation: Exceptional ability to break down complex, undefined problems into crisp, executable technical plans with clear tradeoffs. - Leadership & Collaboration: Outstanding track record of mentoring engineering talent, communicating directly with customers and stakeholders, and influencing cross-functional teams without direct authority. BONUS POINTS 🎯 - Diverse Tech Expertise: Hands-on experience with modern backend or frontend languages (Node.js, TypeScript, Go, Angular, React Native) that add versatility to our multi-tech ecosystem. - Advanced Academic Background: A Bachelor’s, Master’s, or PhD in Computer Science, Software Engineering, or a related field (or equivalent practical experience). OUR INTERVIEW PROCESS 📋 - Step 1: We’ll kick things off with a 30-minute video call with a member of our Talent team. We’ll get to know you, share more about the role and team, and make sure we’re aligned. - Step 2: A 60-minute video call with the hiring manager, where they’ll dig deeper into your experience, approach, and what excites you most about this opportunity. - Step 3: A deep-dive technical and architectural assessment to explore your approach to system design, AI leverage, and problem-solving. - Step 4: A final panel interview focusing on cross-functional collaboration, product strategy alignment, and leadership. OUR HYBRID WORK PHILOSOPHY 🤝 Great work can happen anywhere but coming together helps us go further. Our team spends three days a week in the office (Tuesday-Thursday) to collaborate, solve problems, and learn from each other. With flexibility the rest of the week, it’s a balance designed to help everyone do their best work and keep growing. OUR TOTAL REWARDS PHILOSOPHY 🎉 Our Total Rewards Philosophy centers around three core areas to reward and care for our People: - Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success. - Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our people’s physical, mental, and financial well-being. - Empowering Our Talent Culture: We build a culture of trust and empowerment by designing our rewards and benefits with transparency, equity, and flexibility, enabling our people to do their best work and stay for the long haul. OUR PROMISE TO YOU 😍 - Financial Wellness: Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15% discount, plus a competitive compensation package. - Your Well-Being, Covered: You’ll get access to health benefits, so you can get the care you need when you need it. - Rest, Relax, Repeat: Rest and recharge with paid vacation days, two company-wide Docebo Days, floating holidays for cultural celebrations, and your birthday off! - Family First: We provide coverage offering you time with your little one(s) so you can soak up all those precious moments. Fun fact: we had 30 Docebian babies join the family in 2025! - Connections That Count: Connect with global communities through our Employee Resource Groups (including PRIDE, DWA, BIDOC, and Green Ambassadors) and company-wide events that keep the fun rolling all year long. ABOUT DOCEBO 💙 At Docebo, we create seamless, AI-powered learning experiences for over 3,000 customers worldwide. We have successfully achieved two IPOs (TSX: DCBO & NASDAQ: DCBO https://www.docebo.inc/home/default.aspx), been recognized as a top SaaS e-learning solution, and are growing exponentially in the process. We're a global company, with office across North America, EMEA, APAC, and beyond. Our team is guided by five core values—Grow Together Win Together, Build with Our Customer, Clear is Kind, Own Outcomes, Progress Over Perfection—that shape everything we do. If this resonates with you, now is the perfect time to join one of the fastest-growing learning technology companies in the world. Docebo is an Equal Employment Opportunity employer https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf. We are committed to diversity and inclusion in our workforce. All qualified applicants and employees will receive consideration for employment regardless of their race, colour, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, citizenship status, age, disability, genetic information, or any other category protected under applicable law. As a federal contractor, Docebo is committed to the principles of affirmative action and equal employment opportunity for protected veterans and individuals with disabilities. Docebo does not discriminate because of protected veteran status or on the basis of disability, and Docebo takes affirmative action to employ and advance in employment qualified protected veterans and individuals with disabilities. Any individuals requiring a reasonable accommodation or would like to voluntarily disclose a disability or protected veteran status to assist with their employment application should send an e-mail to their recruiter directly.