Location: San Francisco, CA | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
We are looking for a Senior Manager, 3P Revenue Accounting & Reporting to join our Accounting team. You will own revenue recognition, month-end close and reporting for Claude sold through our cloud service provider (CSP) channels: AWS Bedrock, Google Cloud Vertex AI and Microsoft Azure Marketplace. These channels are among the fastest-growing revenue streams at the company. They run on consumption-based, partner-reported data that changes every month.
You will be the accounting point of contact for the finance and partner teams at AWS, Google and Microsoft. Internally, you will partner with Finance, FAB, Engineering and business teams to turn partner billing feeds into accurate, auditable revenue. You will also lead the automation of a close that is still heavily manual. If you want to build the financial infrastructure behind a fast-growing AI company, come join us in our mission to build safe, beneficial AI.
Key responsibilities
Lead the revenue close for cloud service provider Marketplace within a listed company timeline.
Prepare and review revenue, revenue-share, reserve journal entries, accruals and true-ups including memos for accounting assessments and judgments.
Own balance sheet reconciliations, reserves, and the usage-to-invoice-to-cash bridge.
Perform monthly and quarterly flux analysis and prepare flux decks for leadership.
Own quarter-end deliverables, including footnote disclosures, flux commentary and presentations to leadership and Corporate Accounting.
Serve as the primary contact for external auditors.
Review the work of accountants and contractors, set the close calendar, and keep close packages complete and audit-ready.
Own monthly and quarterly 3P revenue reporting for leadership and FP&A, by partner, model, product, region and customer.
Review partner usage, invoice, disbursement and fraud reports each month, and resolve data issues before close.
Serve as the accounting point of contact for the finance, engineering and product teams and drive reporting improvements that support an on-time close.
Apply ASC 606 to 3P arrangements, including principal-vs-agent, variable consideration and reseller arrangements.
Estimate and document reserves, including credit loss (ASC 326).
Assess the accounting for new 3P products, programs and billing changes, partnering with Technical Accounting on complex judgments.
Partner with the Engineering teams to automate manual close processes, including SQL-driven workbooks, automated reconciliations and system-generated journal entries.
Own 3P SOX controls, including design, documentation, gap remediation and audit evidence.
Partner with FP&A, Treasury, AR and business teams on forecasts, cash and partner disputes.
Minimum qualifications
Have strong ASC 606 knowledge, especially principal-vs-agent, variable consideration, consideration payable to a customer, and consumption-based revenue.
Have owned a month-end close with tight deadlines and reviewed journal entries, reconciliations and flux analysis.
Have built revenue reporting from large, imperfect third-party data sets and reconciled it to the general ledger.
Have managed external partner relationships where you depended on their data, and pushed for fixes.
Have strong SQL skills (BigQuery or similar) and experience automating close workbooks or reconciliations.
Have designed or operated SOX controls and supported external audits.
Communicate clearly with accounting, finance, business and engineering teams.
Thrive in fast-paced, ambiguous environments where processes are still being built.
Preferred qualifications
Have 10+ years of progressive accounting experience, including 3+ years managing revenue accounting or close teams.
A Bachelor's degree in Accounting or Finance; CPA or equivalent (ACA, ACCA).
Big 4 audit experience combined with industry experience at a high-growth tech or SaaS company.
Experience with cloud marketplace, reseller or channel revenue (AWS Marketplace, Google Cloud Marketplace, Azure Marketplace).
Experience with usage-based and subscription revenue models.
Hands-on experience with Workday Financials, NetSuite, Numeric, Hex or similar close and reporting tools.
Experience with IPO readiness.
Experience using AI tools to automate accounting and reporting work.
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:
$190,000
—
$230,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Singapore
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The Role:
Nebius is growing quickly in Asia Pacific and Japan, and our Singapore office is the regional base for our go-to-market team. We are looking for a senior Executive Assistant and Office Manager who will be the right hand to the APJ General Manager, the operational backbone of the Singapore office, and a trusted partner to the Sales and GTM teams on the ground.
This is a hybrid role with three equal pillars: high-level executive support, hands-on office and workplace management, and day-to-day commercial support for the in-region sales and GTM organisation. You will free the GM to focus on growing the business, help the sales team move faster, and make sure colleagues and visitors experience a well-run, welcoming workplace.
Responsibilities:
Executive support to the APJ General Manager
Manage the GM's calendar, prioritising meetings across APJ, EMEA and US time zones.
Coordinate complex regional and international travel, including itineraries, visas, expenses and logistics.
Prepare meeting materials, agendas, briefing notes and follow-up actions.
Screen and manage correspondence, acting as a trusted point of contact for internal and external stakeholders, including customers, partners and senior visitors.
Support the GM's leadership meetings, offsites, customer events and regional business reviews.
Handle expense reports, invoices and other administrative tasks for the GM.
Handle confidential information with the highest level of discretion.
Sales and GTM team support
Act as the first point of contact for the Singapore-based Sales, Partnerships and GTM teams, coordinating requests for information and support.
Support CRM hygiene (Salesforce/HubSpot): data entry, report generation and pipeline tracking, in partnership with Sales Operations.
Coordinate the preparation of proposals, contracts and client-facing materials, and liaise with Finance, Legal and Operations on order processing and accuracy.
Assist with weekly and monthly sales performance reports, dashboards and KPI tracking, and help prepare leadership presentations.
Organise customer meetings, executive briefings, workshops and on-site visits, including room, catering, hospitality and visitor logistics.
Plan and run team events, offsites, kick-offs and regional GTM gatherings.
Support onboarding of new sales and GTM hires, including desk, access, equipment, system access, training schedules and materials.
Manage team communication channels (email, Slack) for announcements and updates, and provide ad-hoc support for strategic initiatives.
Office management and operations
Oversee the day-to-day operations of the Singapore office.
Manage relationships with landlords, building management and service providers, holding them to agreed service levels.
Coordinate maintenance and facilities issues, and escalate and resolve them promptly.
Manage office access, visitor protocols, and mail and courier handling.
Support seating plans, space usage and small-scale office improvements as the team grows, including future expansion or relocation planning.
Safety, security and compliance
Maintain a safe, secure and compliant office, including emergency procedures, fire safety, first aid and evacuation drills.
Coordinate with building management on security and access control.
Support business continuity and incident response for the Singapore office.
Keep records and documentation in line with local regulations (including MOM requirements) and Nebius policies.
Employee experience
Create a welcoming environment for colleagues and visitors, from arrival to day-to-day service.
Host visits from global colleagues and coordinate their travel and workplace needs.
Partner with HR and IT on new joiner readiness.
Collect feedback and suggest improvements to the workplace experience.
Budget, vendors and reporting
Manage the Singapore office budget, including purchase orders, invoice processing, cost tracking and forecasting support.
Work with Finance and Procurement on vendor onboarding, contracts and renewals.
Track office KPIs, recurring issues and costs, and report to the GM and the global Workplace team.
Stakeholder collaboration
Work closely with HR, IT, Security, Finance, Legal, Sales Operations and global Real Estate & Workplace teams.
Act as the Singapore workplace representative in regional and global initiatives.
Communicate proactively about office changes, disruptions and events.
What we expect you to have
8+ years of experience as an Executive Assistant, Office Manager or similar, ideally supporting senior or C-suite leaders.
Experience managing office operations, vendors and facilities in Singapore or the wider APAC region.
Experience supporting a sales or commercial team, with working knowledge of CRM tools (Salesforce, HubSpot) and sales reporting.
Strong organisational skills and the ability to prioritise competing demands independently in a fast-paced environment.
Excellent written and spoken English, with the ability to build trust at all levels, from the C-suite to customers and visitors.
High discretion, maturity and sound judgement with confidential and sensitive information.
Proficiency in Microsoft 365 (especially Excel, PowerPoint and Outlook) and comfort with budgets, purchase orders and basic financial tracking.
A calm, proactive, service-minded and 'can-do' approach, including in high-pressure situations.
Flexibility to work across time zones when needed.
Added bonus:
Experience in tech, scale-up, start-up or hypergrowth companies.
Experience supporting a leader across multiple countries in a regional or multinational environment.
Experience supporting an office opening, expansion or relocation.
Familiarity with Slack, Confluence, Jira, and expense or procurement tools.
Knowledge of Singapore workplace regulations (e.g. MOM requirements, workplace safety) and the local vendor landscape.
Additional languages relevant to APJ (e.g. Japanese, Mandarin, Bahasa).
Bachelor's degree in business administration, hospitality, facilities management or a related field.
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: Remote / Germany
Orcrist is building a next generation data intelligence platform using cutting-edge technologies. We're handling petabyte-scale data with sub-second queries. Our product is a Kubernetes‑based platform delivered as B2B SaaS or as a self‑hosted on‑prem solution, including air‑gapped deployments. We enable customers across defense, law enforcement, and enterprise to turn mission-critical data into actionable intelligence.
Role
As Director of Product you own Orcrist’s entire product portfolio - Orcrist’s OIP and Civitas’ Sentinel, and lead the product organisation. You decide what Orcrist builds and in which order: what becomes platform and what stays customer-specific, which customer problem is solved next, and how we measure that it has been solved. Our promise is demonstrable the effectiveness of our software, and making that promise deliverable is the core of this role. You work directly with Engineers, our Government Development-Team and our customers and report to the COO of Orcrist.
What you’ll do
Own product strategy
and the portfolio roadmap across all product lines – including the decision about what becomes shared platform and what remains customer-specific engineering.
Build and lead the product organisation
: hire and develop Product Managers for the product lines and align them on common standards for discovery, prioritisation and delivery.
Make
product effectiveness
and
customer activity & usage
a measurable product goal: define metrics, measurement logic and the subsequent tasks that are triggered by that.
Own discovery
with our Government Development team and our customers, and
translate their requirements into product decisions
rather than collecting feature requests.
Decide prioritisation
across competing customer, tender and platform demands, and defend those decisions to customers, the team and the management.
Plan deliverable releases
together with Engineering and QA, holding the balance between speed, quality and platform capability.
Assess market
, competitive and technology developments in the defence and simulation space and feed them into product strategy.
About you
8+ years of product management experience with complex technical products, preferably in the Analytics or SAAS-space, including several years leading Product Managers or a product organization.
Experience in defence, GovTech or data fusion (own military or law enforcement background is an advantage).
Experience with data analytics platforms.
Proven track record of delivering products from discovery through to customer rollout – with nameable outcomes, not just roadmaps.
Experience with B2B or B2G products in long, formal procurement cycles and with demanding enterprise or public sector customers.
Experience holding platform decisions against customer-specific exceptions – and explaining the commercial consequence of both paths.
Ability to decide with incomplete information, take ownership, and work in an environment without mature processes.
Excellent communication skills in German and English across various hierarchy levels.
Authorization to work in Germany and willingness to travel to customers (approx. 10-20%).
Nice-to-haves
Experience with on-premise, offline or air-gapped products and their consequences for product decisions is an advantage.
Experience in building a product organization in a startup or scale-up is an advantage.
What we offer
Remote-first, Germany-wide:
Work from wherever you do your best work, with regular team gatherings in Berlin and other off-site locations.
Flexibility by default:
Flexible working hours help you make work fit your life.
Your setup, your way:
Get a personal home-office equipment budget to create a workspace that works for you.
30 days of vacation:
Take the time you need to recharge and come back with fresh energy.
Keep growing:
We invest in your personal and professional development.
Get rewarded for impact:
Performance bonuses are tied to agreed objectives and key results.
A warm welcome:
Every new team member gets a welcome goodie bag.
Good people, good times:
From summer and Christmas parties to regular team gatherings, we make time to celebrate together.
A mission that matters:
Work on challenges with tangible impact on public safety and national security.
Location: New York, New York, United States
About Turing
Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at
www.turing.com
.
Role:
Enterprise AI - Head of Platform Engineering
Location:
Manhattan, New York City
Experience Level:
15+ years, including at least 5 years leading platform or infrastructure teams
Work Model:
Hybrid, with three days per week in the office near Madison Square Park
Why Join Enterprise AI?
Enterprise AI is building the technical platform that enables enterprises to deploy advanced AI systems in production.
As Head of Platform Engineering, you will lead the technical platform team and help scale the organization as it moves from early platform development toward enterprise adoption. You will work closely with architecture and delivery leaders to establish the technical foundations, operating model, and product capabilities required to support demanding enterprise customers.
This is a high-ownership role for a technical leader who can build production-grade infrastructure, hire and develop a strong team, and help turn an internal platform into a reliable enterprise product.
As the Head of Platform Engineering, You Will
Build and Scale the Platform
Set the technical direction for a model-agnostic, multi-tenant enterprise AI platform and establish the architecture, reliability, and operating foundations required for scale.
Lead Platform Engineering
Build and lead a high-caliber platform organization. Hire quickly at a high bar, develop the team, and create clear ownership across platform engineering, architecture, evaluation, and delivery.
Enable Enterprise Deployment
Develop platform capabilities that support secure, observable, and reliable AI deployments across enterprise environments, including customer-controlled infrastructure where required.
Partner Across Architecture and Delivery
Work closely with architecture and delivery leaders to translate customer needs into platform priorities, establish clear technical seams, and ensure the platform supports real-world enterprise deployments.
Drive Productization
Help evolve the platform from an internal capability into a reliable, externally deployable enterprise product. Establish clear standards for performance, security, observability, evaluation, and operational readiness.
Demonstrate Customer Value
Partner with delivery teams to support client use cases and ensure that platform deployments are evaluated against measurable business and technical outcomes.
The Anti-Sell
Hands-on technical leadership:
This is not a role for someone who has been on a pure management track for five or more years. You must have personally written production code within the last two years.
Enterprise-grade complexity:
The platform must support multi-tenant enterprise software, secure deployments, customer-controlled environments, and demanding enterprise requirements.
High hiring and execution bar:
You will be expected to hire quickly, maintain a high bar, and lead a growing platform organization while delivering against an ambitious product roadmap.
Security and regulatory accountability:
The role requires deep experience with enterprise security, identity, and hosting, including experience working with regulated customers.
Breadth of experience:
Candidates with a solely consumer or solely services background may not be a fit for this role.
Our Enterprise AI Platform Leaders Typically Have
Deep platform engineering experience:
Typically 15+ years in software engineering, including at least five years leading platform or infrastructure teams that have shipped multi-tenant enterprise software.
Multi-tenant and self-hosted architecture expertise:
Proven experience designing and operating platforms for enterprise customers, including self-hosted or customer-controlled deployments.
Hands-on LLM systems expertise:
Direct experience with LLM orchestration, evaluation, serving, and fine-tuning, as well as the ability to contribute production code.
Productization experience:
A track record of taking a platform from an internal tool to an externally licensed or deployable product.
Enterprise security and team leadership:
Deep knowledge of enterprise security, identity, and hosting with regulated customers. You should also have a proven record of hiring quickly at a high bar and leading platform or infrastructure teams.
Top-Tier Candidates Will Have
Experience building or scaling a platform inside a services or forward-deployed organization.
Experience in financial services or another highly regulated industry.
Experience supporting enterprise AI deployments across complex customer environments.
Values
We are client first:
We put our clients at the center of everything we do, because their success is the ultimate measure of our value.
We work at Start-Up Speed:
We move fast, stay agile and favor action because momentum is the foundation of perfection
We are AI forward:
We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.
Advantages of joining Turing
Work at the frontier of AI
, helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks.
Contribute to leading-edge AI research
and showcase your work at top conferences such as ICLR, ICML, and NeurIPS.
Bring frontier AI innovation to the enterprise
, applying lessons learned from leading AI labs to solve real-world business challenges.
Collaborate with and learn from exceptional colleagues
with deep AI experience from Google, Meta, Amazon, and other leading technology companies.
Move at the pace of AI innovation
, with the speed, ownership, and impact of a startup.
Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
For applicants from the European Union, please review
Turing's GDPR notice here
.
Location: Tokyo, Japan
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
Join Anthropic's Customer Success team as one of the founding members of our Japan Customer Success team as we pioneer the future of enterprise AI adoption. As a Customer Success Manager at Anthropic, you'll be the strategic partner and trusted advisor to our most complex customers across Japan, helping them harness the full potential of all our Claude capabilities: API, Claude for Enterprise, and Claude Code.
You'll develop genuine partnerships with customers, gaining a deep understanding of their business objectives, strategic direction, AI vision, and technical needs. You'll draw on both your business acumen and technical expertise to serve as a strategic advisor throughout their journey with us.
In partnership with the broader account team, you will help customers identify the right Claude capabilities for their specific business objectives. You'll work closely with them to provide best practices and guidance, and support them as their usage (consumption and seat based) grows and evolves.
Your role focuses on helping customers scale their usage effectively, implement change management strategies, optimize use cases, and maximize the value of their investment through expanded use cases across their organization. The insights you gather from your customers will directly inform our research priorities, product development, and go-to-market strategies. That makes you a key voice in shaping how we build and deliver ongoing value as a business.
As one of the founding members of our Customer Success team in Japan, you'll help shape how we build the function in-region. That includes establishing regional processes, developing new customer relationships, and representing Anthropic's brand in a high-growth market alongside a small, growing team. You'll operate with significant autonomy while maintaining strong alignment with global teams. This requires someone who thrives in ambiguous environments and can work effectively across time zones.
Key responsibilities
Build trusting, strategic relationships with key Japanese customer decision makers to understand their business and objectives, identifying opportunities for optimization and expansion
Become an expert in Anthropic's products across API, Claude for Enterprise, and Claude Code, understanding the technical nuances and best practices for each to guide customers to the right solutions
Leverage your deep knowledge of the customer and regional nuances to proactively drive usage planning, understanding current and future consumption and adoption and how it creates realized value for the customer
Monitor usage patterns and identify optimization opportunities, proactively addressing underutilization across both our consumption-based and seat-based products to drive full value from contracted commitments
Serve as the customer's thought partner, enhancing their knowledge of Claude products by socializing Anthropic's product roadmap, driving awareness of new products, and engaging Product PMs as the voice of Japanese customers
Document and quantify customer value realized through business outcomes, ROI, and impact metrics to build compelling internal business cases for continued and expanded investment
Identify potential use cases and lines of business not currently onboarded, partnering with customers to discover new applications for Claude across different departments, teams, and workflows
Develop and execute change management strategies to drive end-user adoption and maximize value within customer organizations, including Train the Trainer programs, Center of Excellence development, and organizational enablement
Own the customer experience across their lifecycle: manage comprehensive account and success plans grounded in the customer's business objectives, conduct Quarterly Business Reviews, and serve as the primary conduit between the customer and Anthropic
Build Anthropic's brand and customer relationships as part of our founding in-region CS team, developing Japan-specific processes, playbooks, and best practices where needed that account for regional business cultures
Minimum qualifications
Experience in customer-facing roles (Customer Success, Consulting, Solutions Architect, Solutions/Functional Consultant, Success Engineer or similar)
Technical fluency with ability to understand and articulate AI/ML concepts, API integrations, and software implementation patterns
Experience explaining and demonstrating technical products to various audiences
Strong project management skills and ability to manage multiple customer relationships
Passion for AI and interest in responsible development of advanced systems
Fluency in English and Japanese
Preferred qualifications
6+ years of experience in relevant field
Experience driving success across both consumption-based and seat-based business models, with understanding of different expansion levers and success metrics for each
Strategic mindset to identify growth opportunities and translate them into actionable expansion plans
Cross-functional collaborator who represents the customer in a positive, proactive manner, rallying everyone around paths forward that solve customer needs
Experience working in and building a growing region, while navigating across time zones with US-based headquarters
A knack for bringing order to chaos and an enthusiastic "roll up your sleeves" mentality. You are a true team player
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: London
Workplace: OnSite
Company Description
We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day.
We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers.
Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale.
If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact.
With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started.
Role Description
As a Real Estate Analyst at Checkout.com, you will provide dedicated administrative, data management, and operational support to the Head of Real Estate, focusing on mitigating risk and increasing efficiency across the global portfolio. This role is essential for managing high-risk operational tasks, such as lease event tracking, lease administration, budgeting and data reporting to ensure a structured approach and prevent critical errors.
Key Responsibilities
1. Lease Administration & Governance
- Proactively track, monitor, and manage critical dates for all lease events, including renewals and break clauses, acting as the primary conduit for populating and managing the tools that host our Real Estate data.
- Support the execution of Real Estate contracts by coordinating with Brokers, Procurement, Legal etc. to finalise signing, updating project budgets, and archiving completed agreements.
- Manage operational risk by ensuring all key details related to lease obligations are accurately recorded, tracked and action is taken.
- For business case generation, gather comparable evidence, property valuations, and market data to drive strategic negotiations.
- Liaise with regional, business and central teams to capture the justification and data necessary for business case approval.
- Manage subleasing activities, including monitoring sub-tenant compliance, tracking sublease income and key milestones, and coordinating with legal and property management teams.
2. Financial and Procurement Reporting
- Coordinate with Finance, Tax and Procurement teams for Real Estate budgets, including updating and managing the Real Estate OPEX and CAPEX budget tracking tools.
- Act as the central point of contact for all property-related budget reporting, preparing quarterly reviews in a clear, digestible format that includes Real Estate and Workplace costs - giving an all inclusive cost per desk / square foot / head.
- Assist in reporting refurbishment or new office delivery costs, against business as usual spend for operational office locations.
- Support the coordination of financial and legal documentation required for transactions, such as preparing group structure charts and financials for external parties (e.g., landlords).
3. Corporate Social Responsibility (CSR) Data Collation
- Lead the coordination and collection of energy, water, and utility consumption data across the global portfolio to support future CSR reporting requirements.
- Manage the challenge of obtaining utility data in co-working and serviced spaces where direct meter readings are complex, including liaising with local teams, operators and landlords to gather the necessary information.
- Act as the conduit between the CEO Office and ESG/CSR teams to ensure our portfolio meets the needs of Sustainability policies and or regulatory requirements.
4. Departmental Administrative Support
- Assist in due diligence and preparation of business cases by researching and reporting on regional office statistics (e.g., desk counts, utilisation, attendance, capacity & commercials).
- Act as a key liaison for business case presentation and refinement.
- Maintain dynamic headcount forecasts to ensure space planning aligns with evolving business needs, particularly for high-growth regions.
- Monitor and document team shift patterns to inform workspace strategy (e.g., HVAC service requirements, after-hours access, and desk rotation models).
- Monitor and manage utilisation reports for Serviced Offices, along with onboard and offboard leaves to locations where we do not directly manage access control.
- Maintain the central digital repository for all property documentation (leases, contracts, floor plans, and insurance certificates), ensuring strict naming conventions, accessibility, and version control are met to ensure 100% audit-readiness.
- Schedule and prepare agendas, collate pre-read materials, and document meeting minutes for key real estate governance forums, proactively tracking action items to ensure timely closure by stakeholders.
- Managing the administrative aspects of the "joiner/leaver" process for office access where no assigned Workplace / People person is assigned.
- Act as the primary administrator for processing property-related invoices, performing the initial "first-pass" review to flag discrepancies against purchase orders (POs) and ensuring all costs are accurately coded before final submission to Finance.
5. Health, Safety & Physical Security Management
- Coordinate the global H&S audit schedule in partnership with SMEs, managing the central audit database, evidence library, action log, and training records to track progress and compliance.
- Support the weekly, monthly, quarterly, and annual reporting framework to surface risk trends and audit completion status, allocating audits to regional teams for execution.
- Own the scheduling, chasing, and evidence trail for the audit lifecycle, acting as the primary administrative point of contact to ensure smooth execution.
- Drive the audit lifecycle by ensuring all actions are identified, triaged, and managed to resolution, proactively identifying blockers and managing overdue items.
- Ensure regional teams interpret and apply the central H&S framework in accordance with local laws while maintaining the global baseline standards.
- Manage the integration of the H&S framework with wider Real Estate RACI to ensure clear accountability and prevent overlaps in responsibilities.
- Implement and maintain physical security policies and standards across all global office locations.
- Instruct periodic physical security risk assessments and audits to identify vulnerabilities and ensure compliance with security protocols.
- Oversee visitor management processes and physical security measures to safeguard personnel and assets.
Additional Information
Bring all of you to work
We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one.
Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands.
We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here.
It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable.
Life at Checkout.com http://Checkout.com
We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection.
Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us.
For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/
– Умение создавать интерактивные и визуально понятные дашборды/отчёты и презентовать инсайты стейкхолдерам. – Продвинутый SQL: сложные выборки, чистка данных, оптимизация;
Location: New York City, NY; New York City, NY | Seattle, WA; Remote-Friendly, United States; San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic is looking for Software Engineers to join the Memory & Search team. We own how Claude remembers you and how it finds what it needs, across Claude.ai, Cowork and Claude Code. That spans the user-facing experience (what Claude remembers, how people see and edit it, how search surfaces the right conversation) and the shared infrastructure underneath it, the memory service, indexing, retrieval and vector search.
Memory is one of the biggest levers on whether Claude feels like it knows you. We recently moved memory from a periodically synthesized summary to a dynamic, editable, on-demand system, and then unified it so the same memory follows you across products. Search went from a top user complaint to something people rely on to find past work. The platform is now in place, and the next phase is finding the product form factors that make memory the most compelling and sticky part of using Claude.
That is why we are hiring product engineers. The team is strong on infrastructure, and we want people who have shipped user-facing products at scale, have a sharp sense for what makes a product feel good, and have built agentic systems where the model, the tools and the user interface have to work together. You will run short, demo-driven experiments on top of the memory and search stack, decide what to keep based on real usage, and help the whole team think like a product team. If you have founded a company, been an early engineer at a startup, or taken a product from zero to one, you will recognize the way we want to work.
This is a trust-sensitive surface. Memory touches privacy, consent and enterprise controls, so you will work closely with product, design, privacy, legal and safeguards, and you will be expected to treat those constraints as part of good product design rather than obstacles to it.
Key responsibilities
Design, build and ship memory and search experiences in Claude.ai, Cowork and Claude Code, owning them end to end from the backend service through the model's tools to the user interface
Run product experiments on the memory and search stack: form a hypothesis, build a demo, put it in front of real users, measure, and make a clear persevere-or-pivot call
Shape how Claude uses memory and retrieval inside its agentic loop, including what the model stores, when it searches, how results are ranked and presented, and how the user stays in control
Define and track the metrics that tell us whether memory is actually making Claude more useful, and build the evaluations that keep quality honest as the system evolves
Improve search relevance and recall across conversations and memories, working across embeddings, hybrid retrieval and ranking as well as the interface that presents results
Partner with product, design, privacy, legal and safeguards to ship features that respect user consent and enterprise requirements such as customer-managed encryption keys and data retention policies
Raise the bar on product quality for the team through design reviews, code reviews and the standards you set for latency, polish and reliability
Share the on-call for the systems you own
Minimum qualifications
Experience building and operating user-facing products used by a large number of people, including the backend services behind them
Experience building agentic systems or LLM-powered products, including tool use, retrieval and prompt or context design
Strong programming skills in Python and TypeScript, with experience across backend services and web front ends
A track record of taking a product or feature from an idea to launch, and iterating on it based on usage data and user feedback
Experience defining product metrics and running experiments to make decisions
Strong product judgment: you notice when something feels off and you fix it, and you can explain why a design choice matters to users
Strong written and verbal communication, with experience working closely with product managers, designers and non-engineering partners
Interest in AI safety and Anthropic's mission
Preferred qualifications
Experience as a founder, early-stage engineer, or someone who has taken a product from zero to one
Experience building search or retrieval systems: embeddings, vector search, hybrid lexical and semantic retrieval, or ranking
Experience building evaluations for LLM or ML systems, or measuring the quality of retrieval and ranking
Experience on consumer products with strong retention, or on personalization systems
Experience shipping features that handle sensitive data or meet enterprise requirements such as customer-managed encryption keys, data residency or HIPAA
Experience with latency-sensitive, performance-critical product work
Experience mentoring engineers or setting technical direction for a 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.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
Anthropic manages one of the largest and fastest-growing infrastructure fleets in the industry — spanning multiple accelerator families, cpu families and clouds. The Capacity Engineering team is responsible for making sure all our infrastructure resources are accounted for, well-utilized, and efficiently allocated. We own the data, tooling, and operational systems that let Anthropic plan, measure, and maximize utilization across first-party and third-party compute.
As an engineer on Capacity Engineering, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it’s running on. You will be expected to write production-quality code every day, operate alongside Kubernetes-native infrastructure at meaningful scale, and directly influence decisions around one of Anthropic’s largest areas of spend.
You’ll collaborate closely with research engineering, infrastructure, inference, and finance teams. The work requires someone who can move between data engineering, systems engineering, and observability with comfort — and who thrives in a high-autonomy, high-ambiguity environment.
This is a pipeline role feeding four areas.
Depending on your background and business priority, you’ll focus primarily in one, but the boundaries are fluid and the problems overlap:
Data platform
Pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, normalize billing and usage across cloud providers, and serve the BigQuery tables the rest of the org queries against. Correctness, completeness, and latency are the job, not a footnote. Consumers range from research engineers to finance to leadership, so it's product work as much as engineering: defining schema contracts, making data discoverable, and figuring out what people actually need.
Planning
Knowing what the fleet has, where it's going, and what's in the way. Making the state of the fleet legible and actionable in real time: cluster health tooling, capacity planning platforms, alerting on occupancy drops and allocation problems, and systemic fixes to scheduling and fragmentation. Kubernetes operations on one side, cross-team coordination on the other.
Efficiency
Measuring and improving how effectively every major workload uses the hardware it runs on. Instrumenting utilization across training, inference, and eval systems, building benchmarking infrastructure, establishing per-config baselines, and working directly with system-owning teams to close the gaps. The metric has to be good enough that the team on the hook for it agrees with the number.
Attribution and forecasting
Connecting what the fleet costs to what the business is doing with it. Reconciling CSP billing exports against vendor telemetry and internal systems with mismatched schemas, attributing spend to the workloads and teams that generate it, and turning inference demand signals and research roadmaps into a defensible compute plan. Efficiency metrics have to survive contact with finance: stripped of pure demand and unit-price effects, reproducible month over month, and legible to a CFO.
Key responsibilities
Build the planning and allocation stack — the tools leadership uses to allocate capacity, teams use to plan against their allocations, and the scheduler enforces. Cross-region and cross-provider placement, guardrails, queueing, occupancy KPIs.
Drive the efficiency programs: stranding and rightsizing, unused capacity recovery, and job-level utilization across training, inference, and eval. Establish per-config baselines and work with system-owning teams to close the gaps. Utilization improvements are worth enormous sums at our scale.
Own attribution and forecasting — reconcile billing across ten-plus providers against telemetry and internal systems, attribute spend to the workloads that generate it, and turn demand signals and research roadmaps into a defensible compute plan and supply pipeline.
Build the data platform underneath all of it: pipelines ingesting occupancy, utilization, and cost from a rapidly diversifying fleet into BigQuery, with real ownership of completeness, latency SLOs, and gap detection. Every new provider is a net-new integration.
Operate Kubernetes-native systems at scale — collection agents, workload labeling, and the taint/reservation/scheduling behavior that determines what capacity is actually usable.
Treat the output as a product, not a pipeline. Gather your own requirements, define schema contracts, and design for consumers ranging from research engineers to a CFO — including on-call and SLOs, because these surfaces are load-bearing for the company.
What you bring
A strong track record building and operating production systems. This is a hands-on engineering role with a devops flavor.
Python and SQL at production quality. Most pipeline code is Python; the presentation layer is BigQuery SQL, including table-valued functions and views. Both need to be idiomatic, well-tested, and maintainable.
Deep experience with at least one major cloud provider (Amazon Web Services, Google Cloud, or Microsoft Azure) and its operations
Experience with observability tooling stack, including Prometheus, PromQL, and Grafana, including writing recording rules and building monitoring that engineering teams rely on.
Ability to gather your own requirements and work across organizational boundaries in an ambiguous environment with limited direction.
Preferred qualifications
Experience with capacity planning, resource management, or cost attribution systems at a hyperscaler or in a large-scale machine learning environment. Time spent in product engineering and developer experience absolutely counts here.
Scheduling and packing efficiency experience, or profiling-driven optimization of large distributed workloads.
Multi-cloud data ingestion experience, especially normalizing billing exports, reservation APIs, on-demand capacity reservations, commitments, and vendor telemetry from providers with different billing arrangements.
Total cost of ownership and forecasting experience, including decomposing whether infrastructure growth is causal or correlated with business drivers.
Accelerator infrastructure familiarity. GPU metrics (DCGM), TPU utilization, Trainium power and utilization metrics, or experience with machine learning training and inference systems at the hardware level.
Experience building internal data products with self-service access, schema contracts, API serving, documentation, and discoverability. Not just pipelines, but thinking about how the data gets consumed.
Storage efficiency, retention, and lifecycle program experience at exabyte scale.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: 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 manages one of the largest and fastest-growing infrastructure fleets in the industry — spanning multiple accelerator families, cpu families and clouds. The Capacity Engineering team is responsible for making sure all our infrastructure resources are accounted for, well-utilized, and efficiently allocated. We own the data, tooling, and operational systems that let Anthropic plan, measure, and maximize utilization across first-party and third-party compute.
As an engineer on Capacity Engineering, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it’s running on. You will be expected to write production-quality code every day, operate alongside Kubernetes-native infrastructure at meaningful scale, and directly influence decisions around one of Anthropic’s largest areas of spend.
You’ll collaborate closely with research engineering, infrastructure, inference, and finance teams. The work requires someone who can move between data engineering, systems engineering, and observability with comfort — and who thrives in a high-autonomy, high-ambiguity environment.
This is a pipeline role feeding four areas.
Depending on your background and business priority, you’ll focus primarily in one, but the boundaries are fluid and the problems overlap:
Data platform
Pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, normalize billing and usage across cloud providers, and serve the BigQuery tables the rest of the org queries against. Correctness, completeness, and latency are the job, not a footnote. Consumers range from research engineers to finance to leadership, so it's product work as much as engineering: defining schema contracts, making data discoverable, and figuring out what people actually need.
Planning
Knowing what the fleet has, where it's going, and what's in the way. Making the state of the fleet legible and actionable in real time: cluster health tooling, capacity planning platforms, alerting on occupancy drops and allocation problems, and systemic fixes to scheduling and fragmentation. Kubernetes operations on one side, cross-team coordination on the other.
Efficiency
Measuring and improving how effectively every major workload uses the hardware it runs on. Instrumenting utilization across training, inference, and eval systems, building benchmarking infrastructure, establishing per-config baselines, and working directly with system-owning teams to close the gaps. The metric has to be good enough that the team on the hook for it agrees with the number.
Attribution and forecasting
Connecting what the fleet costs to what the business is doing with it. Reconciling CSP billing exports against vendor telemetry and internal systems with mismatched schemas, attributing spend to the workloads and teams that generate it, and turning inference demand signals and research roadmaps into a defensible compute plan. Efficiency metrics have to survive contact with finance: stripped of pure demand and unit-price effects, reproducible month over month, and legible to a CFO.
Key responsibilities
Build the planning and allocation stack — the tools leadership uses to allocate capacity, teams use to plan against their allocations, and the scheduler enforces. Cross-region and cross-provider placement, guardrails, queueing, occupancy KPIs.
Drive the efficiency programs: stranding and rightsizing, unused capacity recovery, and job-level utilization across training, inference, and eval. Establish per-config baselines and work with system-owning teams to close the gaps. Utilization improvements are worth enormous sums at our scale.
Own attribution and forecasting — reconcile billing across ten-plus providers against telemetry and internal systems, attribute spend to the workloads that generate it, and turn demand signals and research roadmaps into a defensible compute plan and supply pipeline.
Build the data platform underneath all of it: pipelines ingesting occupancy, utilization, and cost from a rapidly diversifying fleet into BigQuery, with real ownership of completeness, latency SLOs, and gap detection. Every new provider is a net-new integration.
Operate Kubernetes-native systems at scale — collection agents, workload labeling, and the taint/reservation/scheduling behavior that determines what capacity is actually usable.
Treat the output as a product, not a pipeline. Gather your own requirements, define schema contracts, and design for consumers ranging from research engineers to a CFO — including on-call and SLOs, because these surfaces are load-bearing for the company.
What you bring
A strong track record building and operating production systems. This is a hands-on engineering role with a devops flavor.
Python and SQL at production quality. Most pipeline code is Python; the presentation layer is BigQuery SQL, including table-valued functions and views. Both need to be idiomatic, well-tested, and maintainable.
Deep experience with at least one major cloud provider (Amazon Web Services, Google Cloud, or Microsoft Azure) and its operations
Experience with observability tooling stack, including Prometheus, PromQL, and Grafana, including writing recording rules and building monitoring that engineering teams rely on.
Ability to gather your own requirements and work across organizational boundaries in an ambiguous environment with limited direction.
Preferred qualifications
Experience with capacity planning, resource management, or cost attribution systems at a hyperscaler or in a large-scale machine learning environment. Time spent in product engineering and developer experience absolutely counts here.
Scheduling and packing efficiency experience, or profiling-driven optimization of large distributed workloads.
Multi-cloud data ingestion experience, especially normalizing billing exports, reservation APIs, on-demand capacity reservations, commitments, and vendor telemetry from providers with different billing arrangements.
Total cost of ownership and forecasting experience, including decomposing whether infrastructure growth is causal or correlated with business drivers.
Accelerator infrastructure familiarity. GPU metrics (DCGM), TPU utilization, Trainium power and utilization metrics, or experience with machine learning training and inference systems at the hardware level.
Experience building internal data products with self-service access, schema contracts, API serving, documentation, and discoverability. Not just pipelines, but thinking about how the data gets consumed.
Storage efficiency, retention, and lifecycle program experience at exabyte scale.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Russia
You
Are passionate about technology, wake up every morning to experiment, learn and develop new solutions!
About Us
At DBSync we provide the opportunity to use technology that creates innovative and next generation data integration products which helps our employees to cultivate their creativity and sense of belonging. DBSync is a leading provider for data integration and Data warehousing services for both cloud/SAAS-based-on-demand applications. We were incubated by Salesforce.com (as a part of Avankia), before getting spinned off as a separate company. DBSync provides data integration as a SAAS-based, Standalone or hosted integration at a competitive price with a plethora of benefits for business users.
Our mission is to provide a strong foundation for businesses in solving complex problems and automating their workflows while acting as a pillar of support for all their data integrations needs. At DBSync we encourage innovation and creativity and our team is diverse comprising of a nice mix of cultural blends. We are a family where each talent is recognised and honed for the best of the individual and the company as a whole. We maintain a very professional, learn and excel vision with a hint of a start-up-like environment making each individual feel important and responsible with an equal opportunity to grow to the sky’s limit!
If you have a spirit of enthusiasm to grow beyond horizons, a determination to work hard, confidence to achieve success and influence future visions and products and be a successful part of the next gen trend, DBSync is the place for you!
Our Value System
1. We genuinely care
2. We do not waste time on manual or mundane task
3. We have a fun environment
4. We own it
5. We are experts on what we do
6. We win together
DBSync has been:
We have been rated 4.7 / 5 on G2. We have got around 125 reviews in 2023.
Based on the reviews G2 has awarded DBSync following badges.
Best Relationship– Winter 2024
Leader Americas Winter 2024
Best Results – Winter 2024
Best Usability – Winter 2024
About the Role:
As a Product Marketer for DBSync, you will play a pivotal role in crafting and executing marketing strategies
to drive the acquisition, adoption and success of our software products.
This role requires a good understanding of data operations and management practices, and familiarity with
SaaS apps, databases and data clouds. You will be responsible for creating compelling messaging and
campaigns that resonate with our target audience of technical professionals.
Job Responsibilities:
Craft and deliver product messaging focused on data replication and Change Data Capture (CDC) solutions through various channels, including webinars, videos, and educational content.
Comfortably present and host webinars and videos to educate customers on our product capabilities and benefits.
Analyze market trends, customer behavior, and competitor offerings to inform marketing strategies.
Collaborate with cross-functional teams to create go-to-market plans for new product launches, feature updates, and demand generation.
Define target customer segments, value propositions, and distribution channels.
Create a wide range of marketing collateral, including product demos, data sheets, whitepapers, blog posts, and videos.
Develop presentations, and training materials to empower the sales team with product knowledge and value propositions.
Plan and execute marketing campaigns that generate leads and drive customer engagement.
Use data and analytics to track campaign performance, ROI, and other relevant metrics.
Support account-based marketing (ABM) initiatives and foster growth through customer advocacy.
Skills and Qualifications:
Bachelor’s degree in computer science, engineering, or related field; MBA with specialization
Overall professional experience: 3–5 years, with a strong preference for backgrounds in Strategy, Marketing, or Technology.
Min. 2-3 years of experience working in SaaS companies
Good technical acumen with good communication skills
General understanding of SaaS apps, cloud platforms (Snowflake, Azure, AWS, Redshift), and databases (MySQL, SQL Server, PostGreSQL)
Experience working with Salesforce and D365+ is good to have
Prior experience in technology consulting or enterprise technology marketing is highly desirable.
Exceptional written and verbal communication skills, with the ability to distill technical concepts into clear and engaging messaging.
Strong technical aptitude and understanding of DataOps, data management practices, databases, and data clouds.
Experience in hosting webinars, creating videos, and delivering technical presentations.
Proficiency in marketing tools, analytics platforms, and CRM systems.
Strong project management skills and ability to collaborate across cross-functional teams.
Job Location:
Eastern Europe (Remote)
Work Shift:
U.S Shift (8:00 AM CST to 5:00 PM CST)
Location: Lisbon, Portugal; Madrid, Spain; Prague, Czechia
CloudLinux
is a global remote-first company. We are driven by our principles: do the right thing, employees first, we are remote first, and we deliver high-volume, low-cost Linux infrastructure and security products that help companies to increase the efficiency of their operations. Every person on our team supports each other and does what we can to ensure we all are successful.
Check out our website for more information:
cloudlinux.com
We are currently hiring a
Staff Security Engineer
within the
Imunify360 product.
Imunify360 is CloudLinux's security suite for Linux web servers. It protects hundreds of thousands of hosting servers and the websites running on them, so it sees most large-scale web attacks early — often in the first hours.
Check out our website for more information:
https://imunify360.com/
Role Mission & Scope
At Imunify360, protecting customers from evolving cyber threats requires close collaboration between security research, engineering, and other teams. Responding to complex attack campaigns involves more than identifying threats — it requires understanding attack techniques, developing effective detection and mitigation strategies, and ensuring customers are protected.
As a
Staff Security Engineer
, you'll take end-to-end technical ownership of complex security challenges, from initial threat discovery and analysis to detection, mitigation, and post-incident review.
This is a
hands-on technical leadership role
focused on practical security engineering rather than SOC monitoring, compliance, or purely theoretical research. You'll analyze malware and exploit code, develop detection and mitigation tools, anticipate emerging attack techniques, and ensure security findings translate into production-ready detections, mitigations, and fixes.
You'll work closely with engineering, security research, support, external partners, and the broader security community to coordinate responses and drive continuous improvements in our security capabilities.
As an
individual contributor
, you won't have direct reports or people management responsibilities. All security research and testing are conducted within authorized boundaries, with clearly defined scope and responsible disclosure practices.
Your mission is to strengthen Imunify360's ability to detect, prevent, and respond to emerging threats, delivering measurable security improvements that protect customers at scale.
What you will own
Malware and campaign mitigation
Lead response to large-scale exploitation and malware campaigns: triage, root cause, and mitigation across every protection layer of the product.
Reverse-engineer malware and exploits targeting Linux servers and web applications.
Track campaigns over time, not just individual samples: cluster indicators, connect activity to known actors and toolkits, anticipate the next variant.
Define and run measurable outcomes per campaign: time to detect, time to protect, cleanup effectiveness, reinfection rate.
Security response coordination
Own the security incident and response process, both for threats against our customers and for vulnerabilities in our own product: severity model, runbooks, communication, escalation.
Coordinate with external parties — software vendors, partners, CERTs/CSIRTs, abuse desks, other security vendors. Drive responsible disclosure where we find vulnerabilities.
Be the technical voice in security advisories and partner briefings, together with Product and Support.
Triage external vulnerability reports.
Offensive security on our own product
Red-team our product and infrastructure. Assume a capable attacker who already has a foothold.
Threat-model new features before they ship; own the security review gate for high-risk changes.
Turn findings into fixes with the owning teams, not just reports.
Detection engineering and tooling
Raise the quality bar of detections: false-positive budgets, test corpora, staged rollout with measurement gates and fast rollback.
Build and automate the analysis pipeline: dynamic analysis, honeypots, telemetry-driven hunting, ML-assisted triage where it measurably helps.
Write production code for these tools; expect 30–50% of your time to be hands-on building.
Turn telemetry into intelligence: emerging exploits, attacker infrastructure, trends — shared as internal briefs and selected public research.
People multiplier (no direct reports)
Mentor analysts and engineers; raise the security skill level across teams.
Bar-raiser in security hiring loops.
Key Milestones
30 days: Analyzed real threats end-to-end. Mapped the current response flow and where it breaks. Shipped at least one detection or mitigation to production.
90 days: Security response process and severity model published and agreed. Led at least one real campaign response with a written post-mortem. Baseline response metrics in place.
6 months: Time from first sighting to protection measurably reduced vs. baseline. First red-team review completed, top findings fixed. Working relationships with key external partners.
12 months: Recognized internally and externally as the owner of security response. Public research or disclosures published. Teams can run a standard campaign response without you.
Requirements
Must have
10+ years in security engineering, malware research, incident response, or offensive security, with several years leading cross-team work at Staff/Principal/Lead scope.
Deep hands-on
malware analysis and reverse engineering
skills.
Strong
web application security
and practical exploitation experience.
Deep
Linux
knowledge from both the attacker's and the defender's side.
Proven
incident response
leadership on large-scale events: you have run the response, written the advisory, and closed the post-mortem.
Production coding in
Python
plus a systems language (Go, Rust or C).
Experience with
coordinated vulnerability disclosure
and working with the security community.
Clear, short writing for both engineers and non-technical stakeholders; works well async across time zones.
Daily user of AI tools for analysis and coding, with critical judgment about their output.
Nice to have
Background in hosting or large web ecosystems.
Detection authoring at scale (signatures, WAF/IDS rules).
Kernel-level monitoring and rootkit detection.
Threat intelligence practice and actor tracking.
ML for malware classification.
Public track record: CVEs, published research, talks, CTFs, open-source security tools.
Relevant certifications are a plus, not a requirement.
Benefits
What's in it for you?
Stay hands-on technically while owning complex, high-impact engineering work.
Work on challenging Linux, automation, and cybersecurity problems across mature and newer products.
Influence technical direction and make meaningful architectural decisions.
Work independently with a high level of ownership and autonomy.
Fully remote work with flexible working hours.
24 paid vacation days, 10 national holidays, and unlimited sick leave.
Private medical insurance compensation.
Co-working and gym/sports reimbursement.
Education budget.
Opportunity to receive a reward for innovative ideas that the company can patent.
By applying for this position, you consent to the processing of your personal data as described in our Privacy Policy (
https://cloudlinux.com/candidate-privacy-notice
), which provides detailed information on how we maintain and handle your data.
Location: Prague, Czechia; Lisbon, Portugal; Madrid, Spain
CloudLinux
is a global remote-first company. We are driven by our principles: do the right thing, employees first, we are remote first, and we deliver high-volume, low-cost Linux infrastructure and security products that help companies to increase the efficiency of their operations. Every person on our team supports each other and does what we can to ensure we all are successful.
Check out our website for more information:
cloudlinux.com
We are currently hiring
Staff Engineers
for various projects within the
Imunify360 product.
Imunify360 is CloudLinux's multi-layer security suite for Linux web servers: antivirus and malware cleanup, WAF, IDS/IPS, Proactive Defense, patch management (KernelCare/Patchman), and IP/domain reputation. It runs on hundreds of thousands of shared, VPS and dedicated hosting servers, under cPanel, Plesk, DirectAdmin and standalone.
The engineering org is 60+ engineers in squads covering backend, core, server agent, malware research, WAF/WebShield, and Patchman. Core services are Python; agents and performance-critical paths are Go and Rust. We run on Hetzner and our own bare metal.
Check out our website for more information:
https://imunify360.com/
Role Mission & Scope
Most complex technical challenges in Imunify360 go beyond individual squads. A single detection change can impact the scanner, agent, UI, reputation backend, and release process. While squad leads own delivery within their teams, the Staff Engineer ensures technical alignment across the product.
As a Staff Engineer, you'll be a
hands-on technical leader working across the entire product
, focusing on the most critical and high-impact challenges as priorities evolve. You'll drive technical decisions, improve architecture, establish engineering standards, and help teams build sustainable solutions.
This is an
individual contributor role
, without direct people management responsibilities. You'll remain actively involved in development, spending approximately
30–50% of your time writing production code
, rather than focusing solely on architectural design.
While deep expertise in a particular area is valued, this role requires the flexibility to work across different components, collaborate with multiple squads, and tackle challenges wherever your expertise can make the greatest impact.
What you will own
Architecture and technical direction
Own the end-to-end architecture of Imunify360 as a product: agent ↔ server ↔ cloud backends, data flows, and the contracts between them.
Write and drive ADRs and RFCs for cross-squad changes. Run the Wed/Fri architecture sync together with the Technical Director.
Keep a living tech-debt and risk register (security / compliance / uptime) with owners and dates, and get the top items funded on the roadmap.
Hard cross-cutting problems (examples of what lands on your desk)
Agent resource footprint on dense shared hosts: CPU, memory and I/O budgets for scanning, file monitoring (inotify/fanotify) and WAF, measured on real kernels, not benchmarks from elsewhere.
Detection pipeline quality: false positive / false negative rates, signature and ML model rollout with staged gates and rollback.
Upgrade and release safety across a large, heterogeneous fleet (CentOS/AlmaLinux/CloudLinux/Ubuntu, multiple control panels, old kernels).
Backend scale and cost of reputation, ThreatIntel and telemetry services.
Migrating hot paths from Python to Go/Rust where the data shows it pays off, and saying no where it doesn't.
Engineering standards
Set the bar for design reviews, code review, testing strategy, observability (Prometheus/Grafana/Sentry) and secure SDLC (OWASP ASVS, CIS Benchmarks as relevant).
Lead or co-lead SEV1/SEV2 incidents when the cause is unclear or cross-squad; make sure the blameless post-mortem ships within 24 h and its actions get closed.
Drive the AI-augmented SDLC in practice: show what good agentic coding looks like (prompt specificity, context provision, review quality, tool boundaries) on real changes, not slides.
People multiplier (no direct reports)
Mentor senior engineers and squad leads toward staff-level scope.
Act as the technical bar-raiser in hiring loops for senior and lead roles.
Be the engineering voice in product and sales discussions: estimates, feasibility, and no dated customer commitment without a written squad-lead estimate.
Key Milestones
30 days: Shipped at least one non-trivial change to production. Can explain the full request path from agent to backend. Has a personal list of top 10 technical risks.
90 days: Owns one cross-squad initiative with an approved ADR, a measured baseline, and a staged rollout plan. Published risk register reviewed in arch sync.
6 months: That initiative is in production with before/after metrics. At least one engineering standard (e.g. release gating, agent perf budget, design review template) is adopted by 3+ squads.
12 months: Recognized by squad leads as the default escalation point for cross-cutting technical decisions. At least one senior engineer grown into broader scope with your mentorship.
Requirements
Must have
10+ years building and operating production software, with 3+ years in a Staff/Principal/Tech Lead scope spanning several teams.
Strong production experience in
Python
and at least one of
Go
or
Rust
.
Deep
Linux internals
: processes, filesystems, networking, kernel interfaces (inotify/fanotify, eBPF or similar), packaging (RPM/DEB), systemd.
Track record of designing and running
distributed systems
at scale: async backends, queues, databases, caching, failure modes.
You have owned systems that run
on customer machines
(agents, daemons, on-prem software) and know what upgrade safety, backward compatibility and resource budgets mean there.
Security mindset: threat modeling, secure coding, handling of untrusted input (files, HTTP traffic, user content).
Writes clear, short technical documents and drives decisions in async, remote teams across time zones.
Uses AI coding tools (Cursor, Claude, MCP-based tooling) daily and can judge their output critically.
Nice to have
Experience in server security: AV/malware detection, WAF (ModSecurity/Coraza), IDS/IPS, rootkit detection, CVE/patch management.
Experience with WordPress and Node.JS web application hosting at scale
ML in production for classification/detection, including evaluation and safe model rollout.
Observability at scale: Prometheus, Grafana, Sentry, ClickHouse or similar.
CI/CD ownership: GitLab CI, Jenkins, build systems for multi-distro packaging.
Open-source contributions in security or systems tooling.
Benefits
What's in it for you?
Stay hands-on technically while owning complex, high-impact engineering work.
Work on challenging Linux, automation, and cybersecurity problems across mature and newer products.
Influence technical direction and make meaningful architectural decisions.
Work independently with a high level of ownership and autonomy.
Fully remote work with flexible working hours.
24 paid vacation days, 10 national holidays, and unlimited sick leave.
Private medical insurance compensation.
Co-working and gym/sports reimbursement.
Education budget.
Opportunity to receive a reward for innovative ideas that the company can patent.
By applying for this position, you consent to the processing of your personal data as described in our Privacy Policy (
https://cloudlinux.com/candidate-privacy-notice
), which provides detailed information on how we maintain and handle your data.
Location: Remote - United States
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit
www.redditinc.com
.
At Reddit, machine learning sits at the heart of how millions of people discover, connect, and engage with the world’s largest collection of human conversations. From “How do I fix a leaky faucet?” to “What should I watch next?”, the
Answers Relevance
team
leverages AI to connect people with the real-world wisdom of Reddit communities. We’re hiring
Senior
and
Staff Machine Learning Engineers
to make Answers smarter, more relevant, and more helpful. Our SOTA AI systems helps surface the right conversations, but the heart of Answers is still people helping people ~ Redditors sharing what they know with each other!
What You’ll Work On
You’ll lead ML projects from idea to production, partnering with Product, Data Science, and Engineering across recommendations, search, messaging, and AI systems.
You don’t need experience in every area listed below. A background in a few may make you a great fit!
Recommendations, search, content understanding, or large-scale data and ML infrastructure
SOTA large scale RecSys
Foundational retriever models
RAG systems, retrieval methods, LLM evaluation, or production LLM features
Agentic AI, such as tool calls, MCPs, multi-agent systems, or orchestration
Self-hosted open-weight models such as Qwen or Llama; prompt engineering, fine-tuning, post-training, or prompt optimization
Improving grounding, instruction following, and hallucination; evaluating retrieval and generation quality
Scaling LLM systems, including latency, caching, and cost; safety measures for prompt injection and unsafe inputs
Defining product success metrics, feedback loops, and evaluation approaches, including human review
What You’ll Do
Build and improve large-scale ML systems, including retrieval and ranking, embeddings, and LLM-powered features
Set technical direction and deliver measurable user and business impact
Work with partner teams to shape product and technical roadmaps
Evaluate new AI/ML approaches and support responsible LLM development
Mentor engineers and contribute to long-term ML planning
Required Qualifications
4–12 years of experience
building, deploying, and operating ML systems in production
Broad knowledge of ML fundamentals and experience applying them in production; expert-level modeling depth isn’t required
Experience developing and productionizing models with TensorFlow, PyTorch, or Hugging Face Transformers
Experience writing production-quality code, including testing, evaluation, and monitoring; Python experience required, Golang experience a plus
Experience with ML systems such as data pipelines, feature engineering, model training and serving, and production monitoring
Strong communication and collaboration skills, and a record of delivering measurable product impact
Benefits
Comprehensive Healthcare Benefits and Income Replacement Programs
401k with Employer Match
Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
Family Planning Support
Gender-Affirming Care
Mental Health & Coaching Benefits
Flexible Vacation & Paid Volunteer Time Off
Generous Paid Parental Leave
#LI-Remote
Pay Transparency:
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit
https://www.redditinc.com/careers/
.
To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.
The base salary range for this position is:
$216,700
—
$322,000 USD
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our
Candidate Privacy Policy for Potential Employees and Contractors
.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
Location: Remote-Friendly, United States
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 building AI systems that will shape the trajectory of one of the most consequential technologies in human history. That work requires physical infrastructure at significant scale, and building that infrastructure the right way means being a real, long-term partner to the communities where we operate.
We are looking for a Community Engagement Manager in Indiana and Kentucky to join our Public Policy team and serve as Anthropic's on-the-ground presence in the communities where our data centers are sited, built, and operated. This is not a communications role or a government affairs role, though you will do elements of both. It is a relationship role: your job is to make Anthropic a trusted, visible, and valued neighbor, from the earliest stages of site selection through construction and long-term operations.
You will be the connective tissue between Anthropic's Policy and Infrastructure teams and the local officials, community organizations, economic development partners, and residents who have a stake in what we build. You will surface concerns before they escalate, translate our technical and operational plans into clear local benefits, and build the coalitions that allow us to move quickly and responsibly. Because Anthropic's infrastructure footprint is still early in its growth, you will also help write the playbook: the processes you build in your first markets are the ones we will use as we expand.
You will travel regularly within Indiana and Kentucky, up to 50% of the time, and occasionally to other Anthropic data center markets.
Key responsibilities
Build and maintain trusted, sustained relationships with county commissioners and councils, Kentucky fiscal courts and judge-executives, mayors and city councils, plan commissions and zoning boards, state and regional economic development organizations, community groups, civic leaders, educational institutions, and workforce partners in the Indiana and Kentucky data center markets you cover
Develop and execute a community engagement strategy for each of your markets, spanning site selection, pre-development, construction, and ongoing operations
Build external coalitions, host education and listening sessions, and design local solutions that deliver real benefits to the communities where we operate
Represent Anthropic in public forums, town halls, planning hearings, community events, and local media
Monitor community sentiment and local political dynamics, and advise internal teams on risks, opportunities, and the right pace and posture for engagement
Partner with the Real Estate and Infrastructure team to bring community input into how projects are planned, communicated, and delivered, not just how they are announced
Work with the Communications team to develop proactive, locally relevant messaging
Coordinate charitable giving, community investment, and economic development commitments in your markets, including managing nonprofit partner relationships
Partner with the Energy and Sustainability team to explain our approach to environmental stewardship and respond to questions about power, water, and land use, including how large electricity needs are served by local utilities and rural electric cooperatives
Build a community engagement playbook and repeatable processes that scale as Anthropic's infrastructure footprint grows
Minimum qualifications
Experience in community affairs, public affairs, economic development, government relations, local or state government, or a closely related field
Direct experience working for or engaging with county and municipal governments and a broad set of community stakeholders on behalf of large infrastructure, construction, energy, or technology projects, with a working understanding of how local politics and community dynamics actually play out
A skilled relationship and coalition builder who earns trust with a diverse group of stakeholders, and who maintains relationships through difficult conversations
The ability to represent a company credibly in public settings, including town halls, hearings, and press interviews
Strong written and verbal communication skills, including the ability to turn a complex operational plan into plain language that a local official or reporter can understand and respond to
The ability to work independently, get up to speed quickly on complex policy issues, and manage multiple concurrent engagements across different markets without losing track of any of them
Based in Indiana or Kentucky or willing to relocate to one of them, and prepared to travel regularly across both states
Preferred qualifications
7+ years of experience in community engagement specifically on data center, utility, energy, or large-scale industrial infrastructure projects, or in local government
Familiarity with land use, zoning, and permitting processes at the county and municipal level in Indiana and/or Kentucky, including local tax abatement and incentive approvals
Experience managing corporate social responsibility programs
Established relationships with economic development, workforce, or civic organizations in the markets this role covers
Experience working with real estate, legal, communications, and policy teams at the same time
A genuine interest in the communities where you work, not just the projects you are managing
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:
$265,000
—
$295,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: New York; Palo Alto; San Francisco; Paris; London
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.
THE ROLE
We are seeking a Head of Analyst Relations to build and lead Mistral's global Analyst Relations program.
This is a foundational leadership role responsible for shaping how the world's most influential industry analysts understand Mistral, our products, and our long-term vision. We are establishing a new AI category, private AI for mission-critical use. And we are giving customers ownership of their AI with open weights, powerful tools to control and connect the AI, and the ability to deploy it wherever they want, from edge to cloud to dedicated sovereign hosting. Our analyst partners will help create this category, explain its importance, and guide the customers that need it. We need you to help them help us!
You will serve as a strategic advisor to executives and partner closely with Marketing, Communications, Product, Sales, and Leadership to ensure Mistral is positioned effectively across the analyst ecosystem.
You will own relationships with firms such as Gartner, IDC, Forrester, Futurum, Moor Insights, Constellation, and more to help establish Mistral as a category-defining company in artificial intelligence.
This role reports into the CMO and works closely with the executive leadership team.
WHAT YOU'LL DO
- Develop and execute Mistral's global Analyst Relations program.
- Build trusted relationships with leading industry analysts across AI, cloud, infrastructure, and enterprise software.
- Shape and influence analyst perceptions of Mistral's products, vision, and market position.
- Lead analyst engagement programs, including briefings, inquiries, advisory sessions, and major report submissions.
- Partner with Product Marketing to craft differentiated messaging and category narratives.
- Drive participation in key analyst evaluations, including Magic Quadrants, Waves, Marketscapes, and other relevant reports.
- Translate analyst insights into actionable recommendations for leadership, Product, Marketing, and Sales teams.
- Establish KPIs and reporting mechanisms to measure the impact of Analyst Relations across awareness, perception, and commercial outcomes.
- Build and scale the Analyst Relations function as Mistral continues its global expansion.
WHAT WE'RE LOOKING FOR
- 10+ years of experience in Analyst Relations, Product Marketing, Communications, or related functions within technology companies. Experience in AR and other marketing or product disciplines is preferred.
- Deep understanding of the analyst ecosystem and experience managing relationships with leading firms.
- Experience supporting high-growth B2B technology or AI organizations.
- Demonstrated ability to influence stakeholders across Marketing, Product, Sales, and Executive Leadership.
- Comfortable operating in a fast-paced, high-growth environment with a high degree of autonomy.
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
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 manages one of the largest and fastest-growing infrastructure fleets in the industry — spanning multiple accelerator families, cpu families and clouds. The Capacity Engineering team is responsible for making sure all our infrastructure resources are accounted for, well-utilized, and efficiently allocated. We own the data, tooling, and operational systems that let Anthropic plan, measure, and maximize utilization across first-party and third-party compute.
As an engineer on Capacity Engineering, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it’s running on. You will be expected to write production-quality code every day, operate alongside Kubernetes-native infrastructure at meaningful scale, and directly influence decisions around one of Anthropic’s largest areas of spend.
You’ll collaborate closely with research engineering, infrastructure, inference, and finance teams. The work requires someone who can move between data engineering, systems engineering, and observability with comfort — and who thrives in a high-autonomy, high-ambiguity environment.
This is a pipeline role feeding four areas.
Depending on your background and business priority, you’ll focus primarily in one, but the boundaries are fluid and the problems overlap:
Data platform
Pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, normalize billing and usage across cloud providers, and serve the BigQuery tables the rest of the org queries against. Correctness, completeness, and latency are the job, not a footnote. Consumers range from research engineers to finance to leadership, so it's product work as much as engineering: defining schema contracts, making data discoverable, and figuring out what people actually need.
Planning
Knowing what the fleet has, where it's going, and what's in the way. Making the state of the fleet legible and actionable in real time: cluster health tooling, capacity planning platforms, alerting on occupancy drops and allocation problems, and systemic fixes to scheduling and fragmentation. Kubernetes operations on one side, cross-team coordination on the other.
Efficiency
Measuring and improving how effectively every major workload uses the hardware it runs on. Instrumenting utilization across training, inference, and eval systems, building benchmarking infrastructure, establishing per-config baselines, and working directly with system-owning teams to close the gaps. The metric has to be good enough that the team on the hook for it agrees with the number.
Attribution and forecasting
Connecting what the fleet costs to what the business is doing with it. Reconciling CSP billing exports against vendor telemetry and internal systems with mismatched schemas, attributing spend to the workloads and teams that generate it, and turning inference demand signals and research roadmaps into a defensible compute plan. Efficiency metrics have to survive contact with finance: stripped of pure demand and unit-price effects, reproducible month over month, and legible to a CFO.
Key responsibilities
Build the planning and allocation stack — the tools leadership uses to allocate capacity, teams use to plan against their allocations, and the scheduler enforces. Cross-region and cross-provider placement, guardrails, queueing, occupancy KPIs.
Drive the efficiency programs: stranding and rightsizing, unused capacity recovery, and job-level utilization across training, inference, and eval. Establish per-config baselines and work with system-owning teams to close the gaps. Utilization improvements are worth enormous sums at our scale.
Own attribution and forecasting — reconcile billing across ten-plus providers against telemetry and internal systems, attribute spend to the workloads that generate it, and turn demand signals and research roadmaps into a defensible compute plan and supply pipeline.
Build the data platform underneath all of it: pipelines ingesting occupancy, utilization, and cost from a rapidly diversifying fleet into BigQuery, with real ownership of completeness, latency SLOs, and gap detection. Every new provider is a net-new integration.
Operate Kubernetes-native systems at scale — collection agents, workload labeling, and the taint/reservation/scheduling behavior that determines what capacity is actually usable.
Treat the output as a product, not a pipeline. Gather your own requirements, define schema contracts, and design for consumers ranging from research engineers to a CFO — including on-call and SLOs, because these surfaces are load-bearing for the company.
What you bring
A strong track record building and operating production systems. This is a hands-on engineering role with a devops flavor.
Python and SQL at production quality. Most pipeline code is Python; the presentation layer is BigQuery SQL, including table-valued functions and views. Both need to be idiomatic, well-tested, and maintainable.
Deep experience with at least one major cloud provider (Amazon Web Services, Google Cloud, or Microsoft Azure) and its operations
Experience with observability tooling stack, including Prometheus, PromQL, and Grafana, including writing recording rules and building monitoring that engineering teams rely on.
Ability to gather your own requirements and work across organizational boundaries in an ambiguous environment with limited direction.
Preferred qualifications
Experience with capacity planning, resource management, or cost attribution systems at a hyperscaler or in a large-scale machine learning environment. Time spent in product engineering and developer experience absolutely counts here.
Scheduling and packing efficiency experience, or profiling-driven optimization of large distributed workloads.
Multi-cloud data ingestion experience, especially normalizing billing exports, reservation APIs, on-demand capacity reservations, commitments, and vendor telemetry from providers with different billing arrangements.
Total cost of ownership and forecasting experience, including decomposing whether infrastructure growth is causal or correlated with business drivers.
Accelerator infrastructure familiarity. GPU metrics (DCGM), TPU utilization, Trainium power and utilization metrics, or experience with machine learning training and inference systems at the hardware level.
Experience building internal data products with self-service access, schema contracts, API serving, documentation, and discoverability. Not just pipelines, but thinking about how the data gets consumed.
Storage efficiency, retention, and lifecycle program experience at exabyte scale.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
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