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.
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.
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: United States
About Gramian
Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.
About the Role
We are looking for a detail-oriented Business Analyst – AI Evaluation Specialist to support a project focused on assessing and comparing chatbot responses. You will evaluate multiple AI-generated outputs against defined business requirements and quality criteria, analyze business processes, and deliver structured assessments that help improve the accuracy and usefulness of AI systems. The ideal candidate combines strong business analysis, data interpretation, requirements documentation, and critical evaluation skills with the ability to communicate clear, evidence-based conclusions.
Key Responsibilities
Gather, analyze, and document business requirements, stakeholder expectations, and project objectives.
Compare multiple chatbot responses and assess their accuracy, relevance, completeness, and alignment with defined evaluation criteria.
Conduct structured evaluations and provide clear, evidence-based final assessments of AI-generated outputs.
Translate business requirements into functional specifications, evaluation criteria, and actionable documentation.
Analyze workflows, business processes, and data to identify gaps, inefficiencies, and improvement opportunities.
Create reports, dashboards, process maps, and other project documentation.
Support project planning, testing, implementation, and user acceptance testing (UAT).
Collaborate with technical teams and business stakeholders to ensure project requirements are understood and met.
Track project progress, risks, dependencies, and key performance indicators (KPIs).
Present findings, insights, and recommendations to support informed decision-making.
Maintain consistent evaluation quality and meet project deadlines and task completion targets.
Requirements
Bachelor's degree in Business Administration, Finance, Computer Science, or a related field.
At least 3 years of professional experience as a Business Analyst or in a similar analytical role.
Strong analytical thinking, problem-solving, and decision-making skills.
Proficiency in Excel and experience with SQL, Power BI, Tableau, or comparable analytical and reporting tools.
Experience gathering requirements, documenting functional specifications, and mapping business processes.
Strong attention to detail and the ability to compare complex information against defined criteria.
Excellent written communication, reporting, and documentation skills.
Ability to collaborate with cross-functional teams and manage multiple priorities independently.
Willingness to work five days per week, including weekends when required, with two weekdays off during the project.
Location: Schaffhausen, Switzerland
D-ploy is an
IT
and Engineering Solutions company with operations throughout the EMEA region including Switzerland, Germany, Czech Republic, Austria, UK, as well as the USA.
We pride ourselves on delivering innovative and superior services and solutions to numerous industry-leading clients. By building relationships and trusted partnerships within the
IT
community, we optimize our customer‘s
IT
productivity and contribute to the organization’s success and value.
We are interested in talking to engaging, flexible, and solution-oriented individuals who are looking to become a part of a dynamically growing and international organization. We are focused on creating value where
IT
counts, join us!
Tasks and Responsibilities
Monitor the performance of the company's desktop infrastructure and make suggestions for improving efficiency
Act as the main point of contact for employees who are experiencing computer issues
Ongoing maintenance and future planning needs of the company's desktop infrastructure
Complex IT support tasks for our customer both onsite and remote maintenance (PC, laptop and peripherals)
Regular front desk assignments for direct support in case of inquiries and problems of our customer
Managing the inventory system (purchasing, goods receipt, maintenance and proper disposal)
Carrying out simple installations in the infrastructure area (in particular network cabling)
Setting up and providing the IT infrastructure for new employees
Coordinate and plan PC installations, e.g. for workstation relocations, in cooperation with the existing team
Processing of tickets in the ticket system and their documentation
Evaluate applications and software patches for desktop applications to see if they will solve desktop issues
Resolve software, hardware and device issues reported by the end users
Installation, configuration and ongoing usability of desktop hardware and software
IT support relating to technical issues involving Connect client
Support services for Client standard technologies including basic troubleshooting of Exchange and adds/moves/changes for AD accounts
Troubleshoot PC connectivity issues and network elements including ISP circuits, firewalls, network switches, wireless equipment and telephone system
Remote access solution (VPN) implementation and support
Document and update the local client environment
Escalate service issues when required
Communication with customers/end users as required, keeping them informed of incident progress, notifying them of impending changes or agreed outages
Advise and train staff on computer operations and software applications
Requirements
Good understanding of Information Technology; trends, products and solutions
1+ years’ experience in a similar position supporting a variety of technologies and services
In depth knowledge of:
Windows OS (Windows 7 & 10)
Microsoft Office & Office 365 applications
PC\Laptop hardware
PC\Laptop peripherals, including printers
Mobile devices
Basic knowledge of
Active Directory
Exchange
ITIL certification and familiarity with the Service Now ticketing system is an advantage
GxP knowledge is desired
Highly self-motivated and directed with a keen attention to detail
Customer focused with a passion and drive for customer satisfaction and delivering business values
Solid problem solving and analytical skills
Ability to work independently as well as willing to follow directions and best practices
Great communication and interpersonal skills
Friendly, supportive and flexible personality with quick learning ability
Good team player with planning and organizing skills & multi-task
Fluent (at least B2) written and oral English and German language, French language is a plus
Willing to travel within Schaffhausen area
Drivers license and a private car
Candidates have to declare Criminal record extract not older than 3 months
Benefits
Broad range of activities, tasks, and projects
Lunch Checks or Reka Money (Lunch Checks can be used in 7000+ restaurants, Reka Money can be used for Transport & Accommodation,Sport & Wellbeing, Leisure &Culture, Holidays & Travel)
Enjoy free refreshments in our D-ploy offices
Insurance Benefits
Gym Benefits
Fishing for Friends program – our referral program
Further development and professional advancement
Friendly and international working environment
Competitive salary and various benefits
Is IT in your DNA?
If you believe you are a good match for this role, or any other opportunities for which D-ploy is currently staffing, then we are very keen to speak with you. You can apply though a variety of channels, including our website
www.d-ploy.ch
or by reaching out directly to our recruitment team
recruiting@d-ploy.ch
.
Location: Serbia; Philippines; Vietnam
FP Markets Group of Companies
is a well-established multi-regulated broker, founded in Australia, offering traders access to CFD trading on Forex, Indices, Commodities, Stocks and Cryptocurrencies
.
We are growing and looking to recruit
a Partners Relations Specialist.
Here you'll play a crucial role in onboarding and supporting our partners, ensuring smooth operations. This is an exciting opportunity to join a global company with a professional, friendly and results-driven culture.
Reporting to
: Head of Partners Support & Operations
Responsibilities:
Assist in the onboarding of Affiliates / IBs / Money Managers and other company partners
Assist with the day-to-day operational tasks of the partners’ department such as partner connections, withdrawals, commission payments, and troubleshooting
Assist in the monitoring of affiliates and IBs activities to optimize partner performance and report suspicious activities
Educate the partners on the company’s platforms, trading products, account opening/deposit and withdrawal procedures
Proactively work to retain existing business and reactivate partners
Update Partners team social media channels
Maintain direct contact with affiliates and IBs via telephone, live chat and email, ensuring excellent service standards and loyalty
Enforce prudent approach and due diligence to the regulatory framework as per the company policies, ethos and ethics
Working with the team to ensure KPIs are met
Supporting and assisting all departments as required
Candidate profile:
Fluency in English
Preferable, but not required, fluency in other languages
Previous experience in customer service - oriented jobs
A team player with excellent communication skills
Strong willingness to learn and develop new skills
Driven and results orientated
Strong negotiation skills
Computer literacy with excellent working knowledge of Microsoft Office applications
Ability to work day or evening shifts
Our offer:
A welcoming, young and multicultural team with approachable leadership.
Real autonomy over a large growth budget, and the chance to contribute to a dynamic business in a growth phase.
Support for your ideas and room to put your expertise into the company's best practices.
Continuous personal development, a training and development budget, growth with the company and the opportunity to learn from industry leaders.
Competitive remuneration, regular salary reviews and performance-based incentive schemes.
A vibrant company life: from team activities to global celebrations.
Join our team and be a part of a professional, rapidly-growing company operating in a multicultural environment!
Location: Albania; Romania; Bulgaria; Egypt
Hey there!
Are you ready to join a fast-growing international travel-tech company and be a part of an awesome team? At RateHawk, we’re passionate about travel and technology, and we’re looking for a Customer Support Specialist (Universal Team) to help us keep our clients happy and our operations smooth.
Who We Are:
We're a fast-growing international travel-tech company with an amazing team, a fantastic culture, and plenty of opportunities for growth. If you love helping people and solving problems, we’d love to hear from you!
Requirements
What You’ll Do:
Rapidly and effectively resolve client issues:
Processing additional services requests for business travel bookings (European market).
Advise clients:
Provide expert advice on bookings and our products.
Communicate:
Engage with suppliers, hotels, and clients via email and phone.
Work with systems:
Utilize CRM systems and our internal databases efficiently.
What We’re Looking For:
English Proficiency:
Upper Intermediate level (both spoken and written) + Italian language proficiency (B2)
Soft Skills:
Kindness, empathy, stress-resistance, politeness, and responsibility.
Quick Learner:
Ability to learn quickly and stay results-focused.
Tech Requirements:
A functioning computer and microphone.
Travel Knowledge:
Understanding of the travel business and booking systems is an advantage!
Benefits
What We Offer:
Remote Work:
Work from the comfort of your home.
Great Team:
Join a young and active team of super specialists.
Flexible Schedule:
5\2 from 10 a.m. to 7 p.m. GMT+3.
Competitive Salary:
Earn a base salary of 700 EUR + up to 225 EUR gross bonus based on KPI.
Challenging Tasks:
Tackle interesting and ambitious tasks that will elevate your professional skills.
Continuous Learning:
Access to seminars, trainings, and conferences. We’ll even help you get to any conference you want to attend.
Perks:
Enjoy corporate discounts on hotels and other services.
The Process:
Application and Assessment:
You'll receive an assessment link when you apply, if there's a match, you'll be invited to an interview with our HR.
Meeting with HR:
A friendly chat with our HR team.
One minute Internet Speed Test:
Just to make sure you’re all set for remote work.
Interview results and offer!
Learn more about our data protection practices in our Privacy Policy:
https://emergingtravel.notion.site/recruitment-privacy-notice
If this sounds like the perfect fit for you, we’d love to hear from you! Apply now and let’s create amazing travel experiences together!
Location: Wrocław, Poland; Porto, Portugal; Sofia, Bulgaria; Zagreb, Croatia; Chișinău, Moldova
We are hiring in Europe!
🟢 At Dev.Pro, a US-based outsourced software development company, we're looking for contractors to join our global team of IT professionals helping tech companies scale their business through software engineering expertise. Operating as a remote-first company, our experts work across 55+ countries on five continents, giving us the flexibility and skillset to deliver high-quality engineering for projects of any size or complexity.
We invite a Test Automation Engineer to join our highly specialized engineering team working on a critical financial transaction platform. In this role, you’ll help drive the quality and reliability of a high-volume, high-performance payment orchestration system through automated testing and QA best practices. You’ll collaborate with cross-functional teams and ensure mission-critical software components meet quality standards.
🟩
What's in it for you:
Contribute to a strategic initiative for a major fintech client as they scale a mission-critical payment orchestration platform
Build automation for high-volume financial systems using Java, Cucumber, REST API testing, and CI/CD
Collaborate across teams and grow your career toward a Principal QA Engineer role
✅ Is that you?
4+ years of QA Automation experience, including building and maintaining test automation frameworks
Strong experience with Cucumber and Java
Experience testing microservices and backend components
Knowledge of REST, web services, XML, JSON, SQL, Tomcat, and Linux
Experience in CI/CD pipelines (Jenkins or similar)
Understanding of secure development practices
Understanding of functional, integration, and regression testing techniques
Experience in Agile/Scrum and continuous delivery
Ability to mentor team members and promote QA best practices
Strong analytical, problem-solving, and communication skills
Strong motivation and high performance, focused on achieving goals and delivering results
Upper-Intermediate+ English level
Desirable:
BSc/MSc degree in Computer Science or related discipline
Background in Payments, FinTech, or Financial Services
Knowledge of transaction processing systems
Experience with performance, resilience, or other non-functional testing
🧩Key responsibilities and your contribution
In this role, you’ll ensure the quality and reliability of critical backend systems through automated testing, cross-functional collaboration, and promotion of QA best practices.
Drive stories to completion, including automated testing and documentation
Create, enhance, and maintain test automation frameworks
Define and execute automated tests in line with QA guidelines using Cucumber and Java
Test microservices and backend components for performance and reliability
Validate REST APIs, web services, XML/JSON data, and SQL interactions
Support CI/CD pipelines and continuous delivery
Apply secure development practices and compliance standards in testing
Participate in Scrum/Agile ceremonies and collaborate with cross-functional teams
Mentor team members on quality guidelines and best practices
Support key stakeholders in decision-making and QA strategy
Evaluate and report on new testing tools, techniques, and approaches
Our next steps:
✅ Submit a CV in English — ✅ Intro call with a Recruiter — ✅ Internal interview — ✅ Offer
Interested? Find out more:
📋How we hire
💻 LinkedIn Page
📈 Our website
💻IG Page
By submitting application, I've read and agree to the Dev.Pro
Private Policy and Consent on Processing of Personal Data
. I agree to have my Personal Data being stored and processed by Dev.Pro.
Location: New Delhi, India
We are seeking an experienced
Enterprise Architect
to define, develop, and govern the enterprise architecture strategy, frameworks, standards, and roadmaps, ensuring alignment between business objectives, technology capabilities, and organizational priorities.
The role will drive enterprise-wide architecture across computing and cloud platforms, communications and network infrastructure, data and artificial intelligence, cybersecurity, and business architecture. The successful candidate will provide architectural leadership, establish target-state architectures and reference designs, and ensure that enterprise solutions are scalable, secure, resilient, compliant, and aligned with the organization’s strategic goals.
Key Responsibilities:
Develop and maintain enterprise business and cybersecurity architecture frameworks, standards, and governance practices.
Translate business strategies, operating models, and processes into architecture artifacts that guide enterprise initiatives and technology alignment.
Design and oversee cybersecurity architecture to protect information assets, systems, and infrastructure.
Ensure alignment with applicable cybersecurity regulations, controls, and industry standards.
Collaborate with business and technology stakeholders to identify architecture gaps, assess risks, and recommend improvements.
Support enterprise transformation initiatives by ensuring business objectives, technology capabilities, and security requirements are effectively integrated.
Qualifications and Experience:
Bachelor’s degree in Computer Science, Business Management, or an equivalent discipline; Master’s degree preferred.
10+ years of relevant experience in enterprise architecture, business architecture, cybersecurity, or business analysis.
Strong experience in architecture governance, business process modeling, cybersecurity controls, risk management, and enterprise technology alignment.
Knowledge of relevant enterprise architecture frameworks, cybersecurity standards, and regulatory requirements.
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.
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.
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: 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
In this role, you'll lead a team of Account Executives driving the adoption of safe, frontier AI with top enterprises across Japan. This role is critical to Anthropic's Japan expansion.
You'll leverage your leadership expertise to propel revenue growth while developing a high-performing team. Working closely with Applied AI Engineering, Product, GTM, and Marketing teams, you'll help enterprise customers deploy AI solutions and refine our market positioning for Japan.
The ideal candidate will have a deep understanding of Japanese business culture, a passion for developing people, and the ability to navigate Japan's consensus-driven sales environment.
Responsibilities:
Build and lead a high-performing team of Account Executives, providing coaching, mentorship, and guidance to drive team success
Develop and implement sales strategies tailored to enterprise procurement cycles and budgeting processes to meet and exceed team revenue quotas
Create and maintain accurate forecasts, pipeline management, and reporting while ensuring data integrity in CRM systems
Partner with Enablement to develop training programs and resources that accelerate AE ramp time and effectiveness, with focus on Japanese enterprise buying cycles and decision-making processes
Work closely with Applied AI Engineering teams to demonstrate technical capabilities pre-sales and optimize solutions post-sales
Enable your team to have credible technical conversations about AI applications while maintaining appropriate guardrails
Build strong partnerships across the organization to drive strategic initiatives
Identify and execute on new market opportunities and use cases for Anthropic's AI solutions across enterprise segments
Help your team navigate complex enterprise stakeholder ecosystems including executives, IT departments, and procurement offices to build consensus
You may be a good fit if you have:
10 years of enterprise sales experience, preferably driving adoption of SaaS or emerging technologies
3+ years of sales leadership experience within the Enterprise segment
Proven track record of building and leading high-performing sales teams selling into large enterprises, with demonstrated success in coaching and developing AEs
Experience establishing and scaling sales processes, tools, and methodologies in fast-growing organizations
Strong technical acumen with ability to enable credible AI conversations
Track record of successful partnership with technical teams throughout the customer journey
Deep understanding of enterprise buying cycles, procurement frameworks, and common pain points across industries
Demonstrated ability to navigate complex, multithreaded sales cycles across diverse stakeholder groups and drive cross-functional initiatives
Experience managing complex enterprise sales cycles and helping AEs secure strategic deals
Excellent communication skills and ability to build relationships across all levels, from individual contributors to C-suite executives
Strategic approach to market analysis combined with tactical excellence in execution
Passion for AI technology and commitment to its safe, responsible development
Business-level Japanese required; English proficiency strongly preferred
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Indianapolis, United States; Ohio City, United States; Chicago, United States
About us:
Shape the Future with AI, Ignite Your Potential
Xenon7 is an inferno where skill, dedication and passion run together.
About our client:
Global healthcare leader headquartered in Indianapolis, Indiana. The Cardiometabolic Research (CMR) Therapeutic Area of our client, focuses on the discovery of biologic, small molecule and genetic therapeutics for the treatment of cardiometabolic diseases and associated complications.
The Cloud and Connectivity organization is seeking an engineer in HPC platforms. This role will focus on enabling analytical, statistical, and scientific computing capabilities within high performance computing infrastructure. We are looking for an HPC Platform Engineer to help accelerate the next era of high performance computing innovation.
What You’ll Be Doing
You will be a leader the engineering and operations of design, build, and maintain scalable HPC platforms.
You will play a crucial role in enabling HPC infrastructure and experiences.
Collaborate with researchers and scientists to optimize performance and streamline workflows.
Leverage tooling and automation for orchestration, resource scheduling, data access, and reproducibility.
Evolve and operate public cloud and on-premises environments with a focus on availability and performance for HPC workloads.
Define and monitor infrastructure metrics, resource utilization, among others.
How You’ll Succeed
Be Bold
- You will bring a high learning agility and platform engineering skills to enable the Technology strategy, identifying opportunities to accelerate our HPC journey.
Be Fast
- You will advance initiatives to enable critical business projects.
Be Proactive
- You will have opportunities to leverage agile ways of working with a willingness to become an expert in deploying HPC solutions.
Be Your Best
- You will learn about new technologies in HPC.
Requirements
What You Should Bring
Hands-on experience in HPC platforms, including knowledge of accelerators (e.g., GPU), HPC schedulers (e.g., Altair Grid Engine, Slurm), Kubernetes platforms, and containers technologies (Docker, Apptainer).
Demonstrated experience in HPC workloads, infrastructure, and cluster architectures.
Expertise with the Linux command line, Linux troubleshooting, and HPC administration.
Experience with DevOps tools such as Github, Chef, Ansible, Terraform.
Experience with automating infrastructure and applications.
Passion for continual learning and staying informed of new technologies, infrastructure trends, and approaches in the HPC field.
Strong programming and scripting skills in languages such as Python or Bash.
Basic Requirements
Bachelor’s degree in computer science, Information Technology, or related technical field.
5+ years’ experience HPC Platform Engineer.
Demonstrated experience leading a global large-scale infrastructure project.
Benefits
Attractive, market-leading salary package.
Clear career advancement path with professional development opportunities.
Location: Dhahran, Saudi Arabia; Riyadh, Saudi Arabia; Lusail, Qatar; Dubai, United Arab Emirates
We are seeking an experienced Lead Digital Solutions Analyst to support advanced AI technology initiatives and contribute to the development of next-generation AI solutions. The successful candidate will work on AI modules, scalable data pipelines, backend infrastructure, and real-time data processing systems, supporting the development of Large Language Models (LLMs), Large Time-Series Models, and Large Vision Models.
Key Responsibilities
Develop and implement AI modules, pipelines, solutions, and services for advanced AI technologies.
Design and develop scalable backend infrastructure to support real-time data ingestion, AI model inference, and user access.
Build real-time data processing components using event-driven architecture.
Apply microservices and agentic AI architectures to support scalability and flexible system development.
Develop data pipelines for data preprocessing, normalization, labelling, transformation, feature engineering, and storage.
Support research and development initiatives for sovereign AI technologies, including Large Language Models, Large Time-Series Models, and Large Vision Models.
Collaborate with cross-functional teams to develop, integrate, and optimize AI-driven solutions.
Requirements
Bachelor's degree in Graphic Design or an equivalent qualification, as specified for the position.
Minimum 10 years of relevant professional experience in graphic design, data science, AI technologies, or a related field.
Experience in AI solution development, data pipelines, or AI technology implementation.
Knowledge of backend infrastructure, real-time data processing, and event-driven architectures.
Familiarity with microservices, agentic AI architectures, and scalable AI applications.
Understanding of data preprocessing, transformation, feature engineering, and data storage.
Exposure to Large Language Models, time-series models, or computer vision technologies is an advantage.
Strong analytical, problem-solving, and collaboration skills.
leadDhahran, Saudi Arabia; Riyadh, Saudi Arabia; Lusail, Qatar; Dubai, United Arab Emirates
Location: Dhahran, Saudi Arabia
We are seeking an experienced
Enterprise Architect
to define, develop, and govern the enterprise architecture strategy, frameworks, standards, and roadmaps, ensuring alignment between business objectives, technology capabilities, and organizational priorities.
The role will drive enterprise-wide architecture across computing and cloud platforms, communications and network infrastructure, data and artificial intelligence, cybersecurity, and business architecture. The successful candidate will provide architectural leadership, establish target-state architectures and reference designs, and ensure that enterprise solutions are scalable, secure, resilient, compliant, and aligned with the organization’s strategic goals.
Key Responsibilities
Define and maintain enterprise architecture frameworks, principles, standards, reference architectures, and technology roadmaps aligned with business strategy.
Lead the design and evolution of enterprise technology architectures covering on-premises infrastructure, private and public cloud, high-performance computing (HPC), AI infrastructure, and enterprise platforms.
Develop communications architecture across data networks, transmission networks, and satellite communications.
Establish enterprise data architecture and governance frameworks, enabling trusted analytics, artificial intelligence, machine learning, and MLOps capabilities.
Define and govern cybersecurity architecture to ensure the protection of enterprise systems, infrastructure, applications, and data in accordance with applicable security controls and standards.
Translate business strategy, operating models, and business processes into architecture artifacts that support enterprise transformation and technology alignment.
Provide architectural assurance and governance for major programs, projects, and technology solutions, ensuring compliance with approved standards and design principles.
Identify technology opportunities, assess emerging technologies, and recommend solutions that enhance operational efficiency, scalability, resilience, security, and business value.
Collaborate with business stakeholders, technology teams, cybersecurity specialists, and program leaders to ensure cohesive, integrated enterprise solutions.
Maintain architecture documentation, identify capability gaps, and develop transition roadmaps to support the organization’s target-state architecture.
Qualifications and Experience
Bachelor’s degree in Computer Engineering, Computer Science, Business Management, or a related discipline; a Master’s degree is preferred.
10 to 15+ years of relevant professional experience in enterprise architecture, technology architecture, infrastructure, communications, data and AI, cybersecurity, or business architecture.
Demonstrated experience developing enterprise architecture strategies, target-state designs, standards, governance frameworks, and implementation roadmaps.
Strong understanding of enterprise technology environments, business capabilities, architecture governance, and technology-to-business alignment.
Proven ability to lead cross-functional architecture initiatives and engage effectively with senior stakeholders.
Excellent analytical, strategic planning, communication, and stakeholder management skills.
New York City, NY
УдалённоRussia
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
УдалённоseniorWrocław, Poland; Porto, Portugal; Sofia, Bulgaria; Zagreb, Croatia; Chișinău, Moldova
УдалённоRemote-Friendly, United States
ГибридheadNew York; Palo Alto; San Francisco; Paris; London; 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
San Francisco, CA
Tokyo, Japan
Indianapolis, United States; Ohio City, United States; Chicago, United States
