Location: Riyadh, Saudi Arabia
Müller's Solutions is seeking a talented E-Learning Systems Developer to join our innovative team. In this position, you will be responsible for developing, enhancing, and maintaining e-learning applications and systems that facilitate engaging and effective learning experiences. You will work closely with instructional designers and subject matter experts to implement robust e-learning solutions tailored to meet educational needs.
Key Responsibilities:
Design, develop, and deploy interactive e-learning content and applications using appropriate technologies.
Collaborate with instructional designers and stakeholders to gather requirements and translate them into technical specifications.
Ensure that e-learning modules are accessible, user-friendly, and compatible across different devices and platforms.
Integrate multimedia elements such as graphics, audio, and video into e-learning content to enhance user engagement.
Conduct testing and debugging to maintain the functionality and quality of e-learning solutions.
Manage updates and improvements to existing e-learning systems based on user feedback and performance analytics.
Implement tracking and reporting features to monitor learner progress and outcomes.
Stay current with e-learning technologies, tools, and industry trends to continually improve development practices.
Requirements
Requirements:
Bachelor's degree in Computer Science, Educational Technology, or a related field.
2-4 years of experience in developing e-learning applications or instructional technology solutions.
Proficiency in programming languages such as HTML, CSS, JavaScript, and relevant frameworks.
Experience with e-learning authoring tools (e.g., Articulate Storyline, Adobe Captivate) is highly desirable.
Strong understanding of Learning Management Systems (LMS) and integration of e-learning content.
Familiarity with SCORM, xAPI, and other e-learning standards.
Excellent problem-solving skills and attention to detail.
Ability to work collaboratively in a team environment while managing multiple projects and deadlines.
Preferred Qualifications:
Experience in graphic design and multimedia development.
Knowledge of user experience (UX) design principles.
Familiarity with database management and server-side programming.
Experience with data analytics and tracking for e-learning platforms.
Certifications in e-learning development or instructional design are a plus.
Benefits
Why Join Us:
Opportunity to work with a talented and passionate team.
Competitive salary and benefits package.
Exciting projects and innovative work environment.
Location: Austin, Texas, United States; Remote; Remote - Europe
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.
About the role:
Token Factory is a part of Nebius Cloud, one of the world’s largest GPU clouds, running tens of thousands of GPUs. We are building an inference platform that makes every kind of foundation model — text, vision, audio, and emerging multimodal architectures — fast, reliable, and effortless to deploy at massive scale.
Responsibilities:
Develop and
optimize
low-level kernels and runtime components for AI inference
Improve performance of inference engines GPU platforms
Profile and debug system-level and hardware-level performance issues
Integrate support for new hardware architectures (Hopper, Blackwell
,
Rubin
)
Collaborate with
ML
and
backend
teams to
optimize
end-to-end execution
Required Qualifications:
Strong
proficiency
in C++
,
OR
expertise
in GPU programming with a focus on low-level high-performance coding and memory management
Experience in
GPU programming or
systems-level software development
,
e.g.
operating system internals, kernel modules, or device drivers
Hands-on experience
with
profiling and debugging tools to
identify
performance issues on both CPUs and GPUs, and the ability to optimize code based on those findings.
Solid understanding of CPU/GPU architecture and memory hierarchy
Preferred Qualifications:
Experience with GPU
computing
programming
:
CUDA,
ROCm
,
CUTLASS, Cute,
ThunderKittens
,
Triton, Pallas, Mosaic GPU
Familiarity with ML inference runtimes (e.g.
TensorRT
, TVM)
Knowledge of Linux internals, drivers, or compiler toolchains
Experience with tools like perf,
VTune
, Nsight, or
ROCm
profiler
Familiarity with popular inference engines (e.g. such as
vLLM
,
sglang
, TGI)
We conduct coding interviews as part of the process.
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: Stockholm
ABOUT US:
AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL.
Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now.
Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale.
We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation.
Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.
THE ROLE:
We are looking for strong engineers with experience and interest in designing, building, and maintaining the novel, high-performance systems that make up our serverless platform.
YOU MAY BE A FIT IF:
- You have 5+ years of experience writing high-quality production code
- You’ve built high-performance distributed systems at a large scale (the more battle scars, the better)
- You have strong cloud skills
- You have strong knowledge of low-level operating system foundations (Linux kernel, file systems, containers, etc.)
- You have experience with performance engineering (tell us a story of when you shaved off a few milliseconds!)
- You’re able to work in person in our Stockholm office
- You’re able to participate in our on-call rotation and respond to production incidents
NICE-TO-HAVE:
- Prior experience with Rust
Stockholm
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.
Location: San Francisco; Toronto; New York; Montreal; Seattle
Workplace: Hybrid
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
We are looking for Software Engineers to join our team. This is a specialized, high-impact role sitting at the intersection of high-performance computing (HPC) and Large Language Model (LLM) engineering. You will not just be building the automated "speedometer and diagnostic" suite for our next-generation AI infrastructure; you will be defining the roadmap, driving key technical decisions, and taking full ownership of the future of this work.
RESPONSIBILITIES
- Benchmarking: Evaluate, run and automate standard LLM quality benchmarks (GSM8K, MMLU) alongside custom performance suites for specific workloads (e.g., long-context window, KV cache reuse, disaggregated serving).
- DevEx Improvement: Develop and maintain internal GPU-enabled development environments (similar to GitHub Codespaces). You will ensure the team has seamless, high-performance "dev machines" optimized for model experimentation.
- Tool Development: Build and contribute to open-source tools such as InferenceMAX and genai-bench to automate model evaluation, benchmarking and analysis.
- System Profiling: Use profilers like PyTorch Profiler, NVIDIA Nsight Systems and py-spy to collect performance profiles, identify bottlenecks, and debug the compute/networking stack.
- Monitoring & Observability: Develop real-time dashboards and alerts to monitor system health, model startup times, and runtime performance.
- Continuous Integration: Automate performance testing via CI/CD pipelines to catch regressions and build release workflow automation for the model runtimes stack.
- Optimization Automation: Build tools to find the "Pareto frontier"—identifying the absolute best configuration (latency vs. cost vs. quality) for a given model and workload.
REQUIREMENTS
This is a mid-senior, high leverage role. We care about your technical depth, strong communication skills to drive cross-team efforts, ability to navigate vague requirements and mentor other engineers. We want to talk to you if you have:
- A Love for Systems & Hardware: You aren’t just interested in the AI; you want to understand GPU memory subsystems, InfiniBand, and how data moves across a cluster.
- An Automation Mindset: You believe that if a task has to be done twice, it should be scripted. You have a passion for stress-testing and fuzzy testing to find the "breaking point" of a system.
- Mathematical Curiosity: A desire to understand the underlying math of Transformers and how it translates into FLOPs and memory requirements.
- Technical Toolkit: Familiarity with Python, and an eagerness to master the NVIDIA software stack. C++ familiarity is good to have.
WHY THIS ROLE
- Direct Impact: Your tools will be the gatekeeper for what defines "good" performance for our customers.
- Deep Learning (Literally): You will gain world-class expertise in GPU orchestration and LLM inference that few engineers in the industry possess.
- High Ownership: As the lead of a small team, you will have the autonomy to build tools from scratch and contribute to open-source projects.
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Location: Riyadh, Saudi Arabia; Al Khobar, Saudi Arabia; Dammam, Saudi Arabia
Eram Talent is excited to announce an opening for a Quality System Auditor to join our team in Saudi Arabia. Our organization is committed to connecting skilled professionals with leading companies that prioritize quality and excellence in their operations.
The Quality System Auditor will be responsible for performing comprehensive audits of quality management systems to ensure compliance with regulatory standards and internal policies. The ideal candidate will possess a keen eye for detail, strong analytical skills, and a thorough understanding of quality assurance principles.
Responsibilities
Conduct audits of quality management systems to assess compliance with applicable regulations and quality standards
Develop and implement audit plans and methodologies tailored to specific projects
Analyze audit findings and prepare detailed reports outlining results, recommendations, and areas for improvement
Collaborate with cross-functional teams to implement corrective actions and ensure effective quality management
Provide training and support to staff regarding quality standards and auditing processes
Monitor and review quality management processes and recommend enhancements
Stay informed on industry trends, regulatory changes, and best practices in quality management
Requirements
Required Experience:
Minimum of 7 years of experience in quality auditing, with a focus on quality management systems
Required Skills:
In-depth knowledge of quality management systems standards (e.g., ISO 9001)
Strong analytical and critical thinking skills
Excellent verbal and written communication skills
Ability to work independently and collaboratively in a team environment
Required Qualifications:
Bachelor's degree in Quality Management, Engineering, or a related field
Certification as an ISO 9001 Lead Auditor or equivalent
Preferred Qualifications:
Experience in the manufacturing or engineering sector
Familiarity with other quality standards (e.g., ISO 14001, ISO 45001) is desirable
Riyadh, Saudi Arabia; Al Khobar, Saudi Arabia; Dammam, Saudi Arabia
Location: Worldwide
We are looking for a
QA Engineer - Backend (Golang)
for the
Core Banking Systems Team
— a team focused on building reliable and scalable backend systems at the core of our financial infrastructure. The team develops solutions for credit card issuing and processing, working with a microservices architecture and technologies such as Kafka and PostgreSQL. A key part of the team's work is ensuring that our systems are secure, resilient, and compliant with Mexican banking and accounting regulations.
Challenges that await you:
Requirements analysis, creation of test scenarios, and preparation of test data
Development and maintenance of test documentation
Acceptance and regression testing (automated and manual)
Manual testing responsibilities are an essential part of the role, including on-site involvement and ownership of the testing process.
Writing and maintaining automated tests in Go
Support of the test project
Development and maintenance of the test project
Integration of automated tests into CI/CD
Development and maintenance of testing infrastructure and tools
Identification, localization, and reporting of defects using a bug tracking system
Communication with the product team during development and participation in releases
Developing and maintaining custom tools to support the testing process (e.g., mock services, data generators, reporting tools)
What makes you a great fit:
Experience in developing and maintaining test documentation
Experience in programming with Go / Java / Kotlin / Python
Experience working with Git or other version control systems
Experience working with SQL
Experience in developing and maintaining automated tests in Java / Kotlin / Python / Go
Experience in developing and maintaining a test framework
Experience working with CI/CD tools
Experience in developing and maintaining testing infrastructure and tools
Knowledge and understanding of design patterns
Experience working with message queues (Kafka)
B1 or higher English
level for effective communication with an international team
Your bonus skills:
Experience working with gRPC and Protobuf
Experience with frameworks: dailymotion/allure-go, Gomega (Go) / JUnit5, Allure (Kotlin) / allure-pytest, pytest (Python)
Experience in load testing
Knowledge and understanding of software design patterns
Our ways of working:
Innovative Spirit:
A commitment to creativity and groundbreaking solutions
Honest Feedback:
valuing open, transparent communication
Supportive Team:
a strong, collaborative community
Celebrating Achievements:
recognizing our wins together
High-Tech Environment:
a team full of smart and revolutionary people who date to challenge the status quo of incumbent finances
Team time zone:
The team works within the GMT+1 to GMT+5 time zone
Our benefits:
Relocation support
to one of our hubs — Cyprus, Georgia, Kazakhstan— with assistance for the employee and their family
Flexible work
from one of our offices or remote
Healthcare Coverage
Education Budget:
Language lessons, professional training and certifications
Wellness Budget:
Mental health and fitness activity reimbursement
Vacation policy:
Annual leave and paid sick leave as per applicable policies
Location: Uzbekistan
Dexis is a dynamic professional services firm dedicated to partnering with government and community leaders both in the U.S. and internationally to achieve critical social outcomes in a rapidly changing world.
At Dexis, you will experience a corporate culture of inclusiveness, respect, fairness, and trust. You will be given the means and mentorship needed to succeed, and your creativity will be rewarded.
LEAP Program Description
Global Solutions Ventures (GSV) – a joint-venture partnership between ZemiTek, LLC and Dexis Consulting Group – is implementing the Long-term Exceptional Technical Assistance Project (LEAP Global), a mechanism originally used by USAID to battle against infectious diseases such as malaria, HIV/AIDS, tuberculosis, neglected tropical diseases, and pandemic influenza. As of July 1, 2025, LEAP Global transitioned to the U.S. Department of State (DOS). This initiative aims to address the complex human resource challenges faced by national infectious disease programs in the USA-supported countries.
The intervention of this project is to hire and embed technical expert advisors and subject matter experts within government entities. By directly embedding the technical expertise within the national programs, LEAP provides long-term, sustainable lifesaving support to empower host governments to lead and manage key aspects of their infectious disease portfolios and improve coordination between the U.S. Government and the host country.
About the Position
The Technical Advisor for LSS will provide technical expertise and support to the Director of Center of Sanitary, Epidemiology, and Welfare (CSEW) Services, Ministry of Health, in carrying out life-saving humanitarian assistance (LHA) service delivery in full alignment with the new Presidential Executive Order (EO) directives. The Advisor will focus on implementing recommendations related to epidemiology from the Joint External Evaluation (JEE) and raising the demonstrated capacity of the Government of Uzbekistan to prevent, detect, and respond to infectious disease outbreaks and public health emergencies. The Advisor will provide day-to-day support to enhance the capacity of CSEW in managing epidemiological activities.
Responsibilities
JEE Recommendations Implementation:
Analyze and prioritize the JEE recommendations related to laboratory systems strengthening, with a focus on improving laboratory quality management systems.
Provide expert technical advice about implementing the LSS activities described in action plans developed to address the JEE recommendations. These action plans include, but are not limited to, the National Action Plan for Health Security (NAPHS), Antimicrobial Resistance (AMR) Action Plan, National Emergency Preparedness and Response Action Plan, Tripartite Zoonotic Disease Action Plan, and other action plans, operational plans, and roadmaps related to global health security and the national cross-sectoral health framework.
Monitor and report on the progress of implementing the JEE recommendations on LSS in the context of approved Global Health Security Monitoring and Evaluation Frameworks.
Technical Support:
Provide day-to-day technical support to the Director of CSEW on LSS issues.
Assist in designing, implementing, and evaluating laboratory systems and procedures.
Assist in developing LSS content for proposed policies, strategies, standard operating procedures, and protocols.
Provide expertise in specimen referral and transport systems, laboratory quality management systems, laboratory testing capacity modalities, and laboratory diagnostics.
Assist Technical Working Groups (TWGs) in providing LSS advice to the CSEW and multisectoral steering committees.
Capacity Building:
Provide input to and/or conduct training sessions and workshops to build the LSS capacity of CSEW staff.
Develop training materials and resources on laboratory best practices and standards.
Coordination and Collaboration:
Collaborate with Secretariats, other departments, and stakeholders to ensure a coordinated approach to strengthening the national laboratory system.
Participate in meetings and discussions related to LSS and public health.
Reporting and Documentation:
Prepare detailed reports on the implementation of JEE recommendations pertaining to strengthening laboratory systems.
Document best practices and lessons learned from national LSS projects and initiatives.
Provide LSS-related indicator-related information and data to DoS, as requested and in accordance with Ministry of Health guidelines and procedures.
Advisory Role:
Provide strategic advice to the Director of CSEW on LSS matters.
Stay updated on the latest developments and trends in LSS and public health.
Cross-Sectoral health:
Advocate and promote an integrated cross-sectoral health approach.
Establish working relationships with stakeholders including other Government of Uzbekistan entities, such as the Committee for Veterinary and Livestock Development, Samarkand State Veterinary College, and the Ministry of Emergency Response.
General:
In consultation with DoS, provide other services related to LSS and public health requested by the Director of CSEW.
REPORTING:
The Technical Advisor will report to and receive technical direction from the Director of CSEW and will work in close collaboration with DoS/Uzbekistan. The Advisor will operate from the MOH office in Tashkent. The Technical Advisor will provide a monthly summary of all activities undertaken on the last day of each month to DoS and meet with DoS/Uzbekistan on a quarterly basis to review activities and priorities.
Qualifications
Advanced degree in Laboratory Sciences, Public Health, or a related field.
At least 5 years of experience in laboratory system strengthening and public health, preferably in a post-Soviet health system.
Experience and familiarity with Laboratory Quality Management Systems.
Proven experience in implementing public health recommendations and strategies.
Fluency in Uzbek and/or Russian and proficiency in English.
Strong analytical and problem-solving skills.
Excellent communication and interpersonal skills.
Ability to work independently and as part of a team.
Knowledge about JEE assessments, cross-sectoral health concepts, public health surveillance, animal health and agricultural systems, antimicrobial resistance, infectious disease outbreak investigations, and public health emergency response is desirable.
Knowledge about post-Soviet health systems and working with international donors is desirable.
Benefits
Dexis offers benefits to support employees’ health, financial security, and well-being. The benefits outlined below are for
full-time, US-based
positions only. These benefits include:
Medical and prescription drug coverage:
A choice of three UnitedHealthcare medical plans, with coverage options for employees and eligible dependents.
Dental insurance:
Dental coverage for employees and eligible dependents, including preventive, basic, major, and orthodontic services, subject to plan limits.
Company-paid vision insurance:
Vision coverage for employees and eligible dependents, with premiums paid in full by Dexis.
Employer-funded health reimbursement arrangement (HRA):
Employees who enroll in the Silver HRA medical plan receive an employer-funded HRA to help pay eligible in-network deductible expenses.
Company-paid life and disability insurance:
Basic life and accidental death and dismemberment (AD&D) insurance, plus short-term and long-term disability coverage.
Optional supplemental insurance:
Voluntary supplemental life and AD&D insurance options, including life insurance options for eligible dependents.
Employee Assistance Program (EAP):
Company-paid access to confidential counseling and legal and financial support resources for employees and their families.
Health and wellness resources:
Virtual care, behavioral health resources, and wellness programs available through the medical plan.
Benefits assistance:
Personalized support with benefit enrollment, coverage questions, claims, and finding providers through the Employee Care Center.
Participation, coverage, and employee contributions are subject to applicable benefit plan terms and eligibility requirements.
Dexis is on a mission to help solve today’s most pressing global political, social, and economic challenges and create a world where all people are safe and prosperous. As a Dexis employee, you will be challenged, empowered, and mentored. Our motto is “find a way or make a way” — that’s how Dexis goes “all in.” How will you?
If you are passionate about this opportunity, apply now!
Only those applicants who meet the above criteria will be contacted for interview.
Dexis is an Equal Opportunity Employer, and does not discriminate on the basis of race, color, sex, national origin, religion, pregnancy, disability, age, genetic information, military service, veteran status, ethnicity, citizenship, sexual orientation, gender identity, marital status, childbirth and related medical conditions, including lactation, or any other protected class under applicable law.
Location: 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 seeking an experienced Senior Business Systems Analyst to join our Finance Systems team at Anthropic. In this role, based on our recent go live on Workday Financials, you will serve as the internal functional lead for our Workday Financials,, owning the design and configuration of the Financial Data Model (FDM), Chart of Accounts, and dimensional structures that will serve as the source of truth for financial reporting. You will develop Prism Analytics and Accounting Center solutions, gather requirements and build reporting capabilities, and collaborate closely with cross-functional teams to drive the successful adoption of the Workday platform.
This is a critical role that will directly shape how Anthropic's finance organization operates as we scale toward public company readiness. You will work at the intersection of finance domain expertise and technical implementation, partnering with the implementation partner, engineering teams, and finance stakeholders to build a world-class financial systems foundation.
In this role, you will
ERP Core Financials:
Serve as internal functional lead for Workday Financials, partnering with partners to drive configuration decisions, validate designs, and ensure business requirements are met. Partner with consultants for Phase X / net new implementations.
Financial Data Model (FDM) Design:
Own the design and configuration of Chart of Accounts, Worktags, dimensional hierarchies, and Accounting Books that will serve as the source of truth for all financial reporting, ensuring support for both GAAP and Management reporting requirements
Prism Analytics Development:
Develop and maintain Prism/Accounting Center solutions from source analysis and ingestion design through build and testing,, including integration with external data sources like BigQuery and Pigment
Requirements Gathering & Reporting:
Gather business requirements from Finance, Accounting, and FP&A stakeholders, translating them into hands-on development of executive reporting, dashboards, and analytics solutions
Workshop Participation & Solution Design:
Participate in implementation workshops, challenge requirements, and translate business needs into buildable designs and testable acceptance criteria; manage defects and data quality issues throughout the project lifecycle for all implementations impacting Workday Record to Report (R2R)
Cross-Functional Collaboration:
Collaborate with Integrations, Security, and Financials configuration teams to align master data, journals, controls, and performance service level agreements; partner with Data Infrastructure and BizTech teams on system integrations
Platform Expansion & Adoption:
Work closely with engineering teams and business stakeholders to drive ongoing expansion and adoption of the Workday platform (e.g. bi-annual releases), identifying opportunities for process improvement and automation.
You may be a good fit if you
Have 8+ years of experience in finance systems, ERP implementation, or business systems analysis roles, with at least 5 years of hands-on Workday Financials experience
Possess deep expertise in Workday Financial Data Model (FDM), including Chart of Accounts design, Worktags configuration, dimensional hierarchies, and Accounting Books setup
Have strong experience with Workday Prism Analytics, including data modeling, source integration, calculated fields, and report development
Are skilled at translating complex business requirements into technical solutions, bridging the gap between finance stakeholders and technical implementation teams
Have experience with full ERP implementation lifecycles, including requirements gathering, configuration, testing, data migration, cutover planning, and hypercare
Possess strong understanding of financial accounting processes including General Ledger, multi-entity consolidation, intercompany accounting, and management reporting
Have excellent stakeholder management and communication skills, with ability to work effectively with finance leadership, accounting teams, and technical partners
Demonstrate strong analytical and problem-solving skills with attention to detail and commitment to data accuracy and integrity
Are comfortable working in fast-paced, high-growth environments with evolving requirements and tight timelines
Strong candidates may also have
Background in accounting, finance, or CPA certification with understanding of GAAP/IFRS reporting requirements
Experience with Workday Accounting Center for complex journal automation and subledger accounting
Technical proficiency with SQL, Python, or scripting languages for data analysis and integration support
Experience integrating Workday with external data platforms such as BigQuery or cloud data warehouses
Knowledge of SOX compliance requirements and internal controls for financial systems
Experience with EPM/FP&A systems such as Pigment, Anaplan, or Adaptive Planning and their integration with ERP
Prior experience at high-growth technology companies scaling toward IPO readiness
Familiarity with Workday HCM and understanding of HCM-Financials integration points
Experience with data migration tools, ETL processes, and reconciliation frameworks for ERP implementations
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:
$205,000
—
$270,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
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: 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's Infrastructure organization builds and operates the distributed systems that train, serve, and secure our AI models, including data pipelines, some of the largest Kubernetes clusters in the world, along with the databases, observability, and developer tooling that every other team at Anthropic depends on. As a Staff+ Software Engineer on our Infrastructure team, you'll independently scope and lead complex, multi-month infrastructure projects, make the architectural decisions other engineers build on, and work closely with research and product teams to understand their needs and build systems that keep pace as those needs evolve.
Team placement happens after the interview process, based on your interests and experience alongside organizational needs. This lets us match you with the team where you'll have the most impact.
Key responsibilities
Independently scope and lead complex, multi-month infrastructure projects, from an ambiguous starting point through to a production system
Make architectural decisions that shape the foundation of infrastructure other engineers and teams build on
Drive alignment on technical direction across multiple teams, working through ambiguous problem spaces
Partner with research and product teams to understand their infrastructure and compute needs, and translate them into technical designs
Take ownership of the reliability, scalability, and security of the systems you build as usage and complexity grow
Set technical strategy and standards for your team's infrastructure
Build and improve operational processes, such as incident response, postmortems, and on-call rotations, that help the team learn from every incident
Mentor other engineers and help raise the technical bar for the team
Minimum qualifications
Experience designing, building, and operating large-scale distributed systems or infrastructure in production
A track record of independently scoping and delivering complex, ambiguous, multi-month technical projects
Experience making architectural decisions that other engineers and teams build on top of
Strong software engineering fundamentals and proficiency in at least one programming language (for example, Python, Rust, Go, or Java)
Experience with modern cloud infrastructure, including Kubernetes and infrastructure-as-code, on AWS and/or GCP
Strong written and verbal communication skills, with experience driving alignment across multiple teams or stakeholders
Preferred qualifications
10+ years of software engineering experience, not including internships
Experience with machine learning infrastructure, such as GPUs, TPUs, or Trainium, and associated networking infrastructure like NCCL
Low-level systems experience, such as Linux kernel tuning or eBPF
Background in security or privacy engineering best practices
Prior experience as a technical lead or mentor for other engineers
Deadline to apply:
None. Applications are reviewed on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$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: San José, Costa Rica
Uptalent.io, a dynamic platform focused on connecting exceptional talent with innovative companies, is seeking a Remote Technology Designer specializing in Structured Cabling and Low Voltage Systems.
Responsibilities
Design and documentation of
low voltage systems
, including:
Structured cabling (voice/data networks)
Access control
Audio/visual (A/V)
CCTV / security systems
Wireless infrastructure
Coordinate with architectural, electrical, and IT teams.
Prepare drawings, specifications, and detailed layouts for low voltage systems.
Ensure compliance with industry standards (TIA/EIA, BICSI, NEC, etc.).
Review submittals and support construction administration when required.
Requirements
RCDD (Registered Communications Distribution Designer)
certification preferred (not mandatory but highly valued).
5+ years of experience in
technology systems design
, ideally for commercial, institutional, or mixed-use projects.
Experience in science and technology projects including cleanrooms, laboratories, specialized manufacturing facilities, and other spaces with distinct and highly specific requirements.
Revit and Cad knowledge
Experience with
U.S. projects and standards
.
Fluent in English and advanced communication skills
Ability to manage multiple projects independently with minimal supervision.
Benefits
Work From Home or anywhere
Highly Competitive Compensation
Work for the most exciting companies in the US
Flexible Schedule
Healthy Work-Life Balance
Location: Mexico City, Mexico
Uptalent.io, a dynamic platform focused on connecting exceptional talent with innovative companies, is seeking a Remote Technology Designer specializing in Structured Cabling and Low Voltage Systems.
Responsibilities
Design and documentation of
low voltage systems
, including:
Structured cabling (voice/data networks)
Access control
Audio/visual (A/V)
CCTV / security systems
Wireless infrastructure
Coordinate with architectural, electrical, and IT teams.
Prepare drawings, specifications, and detailed layouts for low voltage systems.
Ensure compliance with industry standards (TIA/EIA, BICSI, NEC, etc.).
Review submittals and support construction administration when required.
Requirements
RCDD (Registered Communications Distribution Designer)
certification preferred (not mandatory but highly valued).
5+ years of experience in
technology systems design
, ideally for commercial, institutional, or mixed-use projects.
Experience in science and technology projects including cleanrooms, laboratories, specialized manufacturing facilities, and other spaces with distinct and highly specific requirements.
Revit and Cad knowledge
Experience with
U.S. projects and standards
.
Fluent in English and advanced communication skills
Ability to manage multiple projects independently with minimal supervision.
Benefits
Work From Home or anywhere
Highly Competitive Compensation
Work for the most exciting companies in the US
Flexible Schedule
Healthy Work-Life Balance
Location: Bogotá, Colombia
Uptalent.io, a dynamic platform focused on connecting exceptional talent with innovative companies, is seeking a Remote Technology Designer specializing in Structured Cabling and Low Voltage Systems.
Responsibilities
Design and documentation of
low voltage systems
, including:
Structured cabling (voice/data networks)
Access control
Audio/visual (A/V)
CCTV / security systems
Wireless infrastructure
Coordinate with architectural, electrical, and IT teams.
Prepare drawings, specifications, and detailed layouts for low voltage systems.
Ensure compliance with industry standards (TIA/EIA, BICSI, NEC, etc.).
Review submittals and support construction administration when required.
Requirements
RCDD (Registered Communications Distribution Designer)
certification preferred (not mandatory but highly valued).
5+ years of experience in
technology systems design
, ideally for commercial, institutional, or mixed-use projects.
Experience in science and technology projects including cleanrooms, laboratories, specialized manufacturing facilities, and other spaces with distinct and highly specific requirements.
Revit and Cad knowledge
Experience with
U.S. projects and standards
.
Fluent in English and advanced communication skills
Ability to manage multiple projects independently with minimal supervision.
Benefits
Work From Home or anywhere
Highly Competitive Compensation
Work for the most exciting companies in the US
Flexible Schedule
Healthy Work-Life Balance
Location: Tallinn, Estonia; Helsinki, Finland; Abu Dhabi, United Arab Emirates; Dubai, United Arab Emirates; Sharjah, United Arab Emirates
Workplace: on-site
At
TechBiz Global
, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a
Senior Protocol Engineer
to join one of
our clients' teams
. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you.
You’ll be leading the design and development of next-generation consensus models, building secure and scalable EVM systems, and mentoring a world-class engineering team.
What You’ll Do
Lead the development of
EVM-based systems
and blockchain infrastructure.
Design and implement
Proof of Stake and other consensus models
.
Build and optimize
smart contract platforms and tooling
.
Collaborate with leadership to define technical strategy and roadmap.
Mentor engineers, fostering a culture of innovation and excellence.
Drive decentralization and scalability improvements.
10+ years
of experience in blockchain protocols, distributed systems, or AI infrastructure.
7 to 8
years hands-on expertise with
consensus algorithms and cryptography
.
Proven track record in
blockchain protocol design
.
Strong background in
software engineering
(Rust, Go, Solidity, JavaScript, Ruby, etc.).
10 years
of experience in leading
technical teams in blockchain/crypto companies
.
Contributions to
open-source blockchain projects
.
A reputation as an
innovator in blockchain/crypto
.
Nice-to-Have
Experience in
multi-coin pools
or algorithmic optimization.
Familiarity with
NEAR, Blackcoin, Ethereum, BitHalo, or similar ecosystems
.
Why Join Us?
This is a chance to work with a passionate team, shape the future of decentralized technologies, and build solutions that will define the next era of blockchain.
ОфисseniorTallinn, Estonia; Helsinki, Finland; Abu Dhabi, United Arab Emirates; Dubai, United Arab Emirates; Sharjah, United Arab Emirates
Location: New York; San Francisco
Workplace: OnSite
ABOUT US:
AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL.
Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now.
Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale.
We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation.
Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.
THE ROLE:
We’re looking for Forward Deployed Engineers on our engineering team who want to work at the intersection of deep infrastructure work and direct customer impact. As an FDE, you’ll partner with leading AI companies and foundation labs on cloud architecture, networking, storage, containerization, sandboxing, and more, helping them design and ship production infrastructure on Modal’s platform.
The FDE team today includes world-class software engineers, computational scientists, ML engineers, and former founders. We’re looking for people with strong engineering fundamentals, deep curiosity across the infrastructure stack, and energy for working directly with customers on hard problems.
WHAT YOU’LL WORK ON:
- Work hands-on with companies like Suno, Lovable, Cognition, and Meta to architect and deploy massive-scale production workloads on Modal
- Lead technical discovery and architecture sessions with prospective and existing customers
- Architect migration paths from existing cloud infrastructure (AWS, GCP, Azure) to Modal’s serverless platform
- Collaborate with Modal’s product and sales teams, contributing to the platform as both an engineer and a product stakeholder
- Build trusted relationships with technical leaders (CTOs, VPs of Engineering, ML leads) at companies doing frontier AI work
- Conduct technical demos, experiments, and proofs of concept that make Modal’s infrastructure advantages tangible
YOU MAY BE A FIT IF:
- You have 3+ years of professional software engineering experience
- You have hands-on experience with cloud platforms (AWS, GCP, Azure), including compute, storage, networking, and container orchestration (Docker, Kubernetes)
- You’re familiar with distributed systems architecture, data pipelines, and Infrastructure as Code (Terraform, Pulumi, CloudFormation)
- You’re a strong communicator who can go deep on systems architecture with an infrastructure team and clearly articulate tradeoffs to technical leadership
- You have a genuine interest in working directly with customers: you find it energizing to understand someone else’s problem and help them solve it
- You’re willing to work in person in New York City, San Francisco, or Stockholm
NICE-TO-HAVE:
- Experience leading large-scale migration efforts, open-source contributions, or side projects you’re proud of
Location: London
Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.
Your future role within QRT
We are
seeking
pragmatic and
commercially-oriented
Reliability Engineer
s
with strong C++ development skills to join our team. The ideal candidate will have a robust background in technology and a keen interest in solving business problems. This role is crucial for
maintaining
the reliability and performance of our systems, ensuring they meet the
high standards
required
in the financial industry.
What you will do:
Design, implement, and maintain scalable and reliable systems
Monitor system performance and troubleshoot issues to ensure optimal operation
Collaborate with development teams to improve system reliability and performance
Develop and implement automation tools to streamline operations
Ensure security and compliance standards are met
Provide technical support and guidance to other teams
Requirements
Proven experience in site reliability engineering or a similar role
Strong understanding of system architecture and cloud technologies
Proficiency
in C++ development, with
additional
knowledge of Python or C# being a plus.
Experience with monitoring and logging tools
Excellent problem-solving skills and attention to detail
Ability to work in a fast-paced, dynamic environment
Commercially oriented mindset with a focus on business outcomes
Experience working on the buy side is a significant positive.
Experience with low latency order entry or market data systems is highly desirable.
Prior experience in the finance industry is preferred but not required.
QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.
Location: Singapore
DRW
is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.
Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.
We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it.
DRW
is a place of high expectations, integrity, innovation and a willingness to challenge consensus.
Our
Equity Options
team is looking for a
Trading Systems Engineer (TSE)
to provide high performance, mission critical support for our proprietary trading systems. The role is to maintain a healthy trading environment and provide on-the-floor technical support. The TSE will also work on longer-term engineering projects collaborating closely with traders, researchers and developers to ensure maximum trading profitability by contributing to scalable, efficient, performant, clean systems and well-defined workflows. The TSE will coordinate with operations, business liaisons and infrastructure teams to communicate with exchanges, brokers and other external parties to ensure a stable and efficient environment for our option trading strategies.
What you’ll be working on:
Work as part of a team to establish best-in-class production support, efficient software deployment, configuration processes and proactive monitoring, with the goal of anticipating and avoiding issues before they occur, minimizing downtime and recovering quickly from any incidents
Understand and potentially develop proprietary process automation and monitoring tools and leverage third-party technologies as appropriate
Troubleshoot trading system production incidents resulting from internal (proprietary software/systems) or external factors (markets, data feeds, telecommunication lines) in time-critical situations.
Understanding Option Trading in the APAC region to best enable trading
Coordinate efforts with European and US Option trading teams to share best practices and ensure continuity and consistency of support in a 24x7 environment
Understand exchange data center layout and hardware infrastructure to optimise our setup and configuration
Qualifications & Skills:
1-3 years working trade support, site reliability engineering or related fields
Bachelor’s degree in STEM field, ideally computer engineering related
Basic networking knowledge, including TCP/IP, DNS, DHCP and common network troubleshooting tools
Strong problem-solving skills and the ability to troubleshoot technical issues under pressure
Excellent communication skills, both written and verbal for audiences of varying backgrounds
Thrives in high-pressure situations while working alongside traders, developers and other engineering teams
Knowledge of Linux/Unix environments
Knowledge of database usage (SQL, NoSQL, Postgres)
Experience with scripting languages (e.g. Python, Bash, PowerShell) for automation tasks
Experience with Distributed Systems
Strong understanding of modern DevOps and CICD
Experience with using and/or building Restful web services
Experience with web development technologies (e.g., Javascript React.js, Vue and CSS3)
For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at
https://drw.com/privacy-notice
.
California residents, please review the California Privacy Notice for information about certain legal rights at
https://drw.com/california-privacy-notice
.
[#LI-PR1]
Location: Home based - Worldwide
Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.
The company is founder-led, profitable, and growing.
Global System Integrators (GSI) play a crucial role in Canonical growth plans in the coming 3 years. We are hiring a
Senior
Partner Sales Manager
to work closely with Canonical GSI partners throughout their sales cycles and across their sales organizations to facilitate Ubuntu based solutions and opportunities, as well as help GSI build long term digital transformation platforms with Ubuntu stacks and services.
Working the the Partner Sales Director in their geographic region, the Senior Partner Sales Manager will be responsible for building trusted relationships with partners, increasing Canonical market share and attach rate, evangelizing about the partnership and leading all business interactions from engineers to CxO level. They will often run customer workshops focused on particular initiatives at that customer, attend sales events, give public presentations and participate in executive engagements as coordinated by the Senior Director.
The role entails
Build strategic relationships with partners at levels, and stickiness with Ubuntu technology
Deep understanding of Linux and cloud software ecosystem, and open source selling models
Negotiate contracts and commercial business terms
Deep understanding of partner organizations and sales models, in particular with Global System Integrators
Work closely with marketing, sales engineering and product management to deliver on targets, objectives and provide a voice of the partner
Lead executive interlocks between partners and Canonical leadership team
Ability to travel - sometimes internationally - up to 40% of the time
What we are looking for in you
Extensive experience in alliance or indirect sales management roles
Extensive experience with OpenStack, virtualization, containers and other Cloud technologies.
Autonomous, disciplined, hands-on, get-it-done mentality
Ability to capture customer requirements, evaluate gaps, identify and create opportunities
Passionate about Ubuntu products and mission
Comfortable in fast-paced and high pressure environments with ambitious achievement goals
Excellent communication and presentation skills
What we offer colleagues
We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.
Distributed work environment with twice-yearly team sprints in person
Personal learning and development budget of USD 2,000 per year
Annual compensation review
Recognition rewards
Annual holiday leave
Maternity and paternity leave
Team Member Assistance Program & Wellness Platform
Opportunity to travel to new locations to meet colleagues
Priority Pass and travel upgrades for long-haul company events
About Canonical
Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open-source projects and the platform for AI, IoT, and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence; in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since our inception in 2004. Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game.
Canonical is an equal opportunity employer
We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products.
Whatever your identity, we will give your application fair consideration.
#LI-remote
Location: Home based - EMEA
Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.
The company is founder led, profitable and growing.
We are hiring a UX designer for our Design System Team.
You will play a key role making open source software available to the world. Our Design function ensures the experience of the software and infrastructure we build is true to our intentions, and delivers the tools our community and customers need. The Design System UX designer makes that possible by defining, evolving and advocating for a consistent use of design system that scales across our products.
This role sits in the design system team reporting to Design Systems Management
Location:
This role will be based remotely in the EMEA region.
The role entails
Building and evolving Canonical’s design system, ensuring measurable adoption, consistency, scalability and accessibility across our products
Collaborating with designers, engineers and stakeholders to translate user needs and brand principles into reusable components, patterns and guidelines
Championing design system best practices, advocating for cohesive user experience and design, providing documentation and support for cross-functional teams
Designing and documenting UI components, design tokens and interaction patterns
Ensuring timely and efficient delivery of the roadmap
Enabling alignment on design system usage and governance across teams
Advocating for accessibility, performance, and scalability in design system decisions and iterating based on data and technological advancements
Staying ahead of industry trends, ensuring innovation and balancing it with system coherence and performance
What we are looking for in you
Relevant experience in UX/product design, with a strong focus on design systems in complex environments
A portfolio demonstrating strong expertise in design systems, including component libraries, documentation and handling complex environments
Exceptional educational achievements in design or related behavioral science discipline
Expertise in Figma, Storybook and design token workflows
Experience of collaborating with engineers and bridging design and code
Proven ability to apply design process and clearly communicate and document design decisions
Excellent attention to detail and systemic approach to solving complex design challenges
Commitment to transparent project delivery and owning team deadlines
A passion for balancing consistency and innovation
Willingness to travel up to 4 times a year for internal events
Read more about the design team
What we offer colleagues
We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.
Distributed work environment with twice-yearly team sprints in person
Personal learning and development budget of USD 2,000 per year
Annual compensation review
Recognition rewards
Annual holiday leave
Maternity and paternity leave
Team Member Assistance Program & Wellness Platform
Opportunity to travel to new locations to meet colleagues
Priority Pass and travel upgrades for long-haul company events
About Canonical
Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open-source projects and the platform for AI, IoT, and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence; in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since our inception in 2004. Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game.
Canonical is an equal opportunity employer
We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products.
Whatever your identity, we will give your application fair consideration.
#LI-remote
Austin, Texas, United States; Remote; Remote - Europe