Location: Mexico; Argentina; Colombia; Costa Rica; Panama
Company Overview
Our client designs and manufactures modular energy infrastructure supporting battery energy storage, power generation, and modular data centers. Their systems integrate batteries, inverters, transformers, and electrical distribution equipment into factory-built platforms deployed for utility-scale and commercial energy projects.
Position Overview
We are seeking a
Senior Electrical Engineer
to lead the electrical design and architecture of
Battery Energy Storage Systems (BESS)
.
This role is responsible for developing electrical distribution systems, protection schemes, and equipment integration for modular energy platforms that combine battery systems, inverters, transformers, and monitoring infrastructure.
The engineer will collaborate closely with mechanical, manufacturing, and integration teams to deliver production-ready systems.
Requirements
Design electrical architectures for BESS platforms including
AC and DC power distribution systems
.
Develop
single line diagrams, wiring diagrams, electrical schematics, and cable schedules
.
Integrate battery systems,
battery management systems (BMS), PCS inverters, transformers, and switchgear
.
Define
grounding strategies, protection schemes, and isolation methods
for high-power electrical systems.
Develop
monitoring, alarm, and shutdown logic
to ensure safe and reliable battery operation.
Coordinate electrical design with
mechanical layouts and enclosure constraints
.
Support
commissioning, factory acceptance testing (FAT), and troubleshooting
of energy storage systems.
Produce
production-ready electrical documentation
supporting manufacturing and system integration.
Required Qualifications
Bachelor’s degree in
Electrical Engineering
.
8+ years of experience
designing industrial electrical systems or power infrastructure.
Experience with
power distribution systems, protection systems, and electrical schematics
.
Experience integrating equipment such as
inverters, transformers, switchgear, or energy storage systems
.
Strong experience developing
technical documentation for engineering and manufacturing
.
Preferred Qualifications
Experience working with
Battery Energy Storage Systems (BESS)
or
microgrid power systems
.
Familiarity with
UL 9540, UL 1741, or similar energy storage safety standards
.
Experience integrating
SCADA, EMS, or energy monitoring systems
.
Previous experience supporting
renewable energy, data center power infrastructure, or large industrial power systems
.
Additional Requirements
Previous experience working with
U.S.-based engineering teams is valued
.
Fluent English communication skills
(spoken and written).
Ability to present a
portfolio of relevant engineering projects
, ideally including energy infrastructure or power systems.
Benefits
Work for the most exciting companies in the North American Market.
Flexible schedules.
Work from anywhere.
Highly competitive compensation.
УдалённоseniorMexico; Argentina; Colombia; Costa Rica; Panama
Location: Mexico; Colombia; Brazil; Costa Rica; Peru
Overview
A growing engineering and manufacturing organization is seeking a
Senior Electrical Engineer
to lead the electrical design of modular generator power systems. These systems support mission-critical infrastructure including data centers, utilities, and industrial facilities.
This role focuses on designing generator electrical architecture, integrating switchgear and protection systems, and developing electrical documentation required for manufacturing and system deployment.
The engineer will collaborate with multidisciplinary engineering teams to deliver reliable, production-ready modular power platforms.
Requirements
Design electrical systems for generator power modules including power distribution and control systems
Develop single line diagrams, electrical schematics, and wiring documentation
Integrate generators with switchgear, transfer switches, and protection systems
Design generator synchronization and load sharing solutions
Develop monitoring and control architectures for generator operation
Create grounding strategies and protection coordination for power systems
Support commissioning and factory testing of generator power modules
Coordinate electrical design with mechanical enclosure and packaging teams
Produce electrical documentation supporting manufacturing and deployment
Required Qualifications
Bachelor’s degree in Electrical Engineering
8+ years of experience in electrical power system design
Experience with electrical distribution systems and protection devices
Experience developing industrial control systems and electrical schematics
Strong understanding of generator-based power systems
Preferred Qualifications
Experience with standby power systems or data center backup power infrastructure
Experience integrating generator controls and paralleling switchgear
Exposure to microgrid or hybrid power system architectures
Benefits
Work for the most exciting companies in the North American Market.
Flexible schedules.
Work from anywhere.
Highly competitive compensation.
УдалённоseniorMexico; Colombia; Brazil; Costa Rica; Peru
Location: Mexico; Colombia; Argentina; Chile; Brazil
We are looking for a
Senior Electrical Engineer
with strong experience in
mission-critical power systems
to support the design and development of advanced infrastructure projects, including
data centers, generator plants, and battery energy storage systems (BESS)
.
This role involves working closely with U.S.-based engineering teams on the design and integration of complex electrical systems that ensure
high reliability, redundancy, and energy efficiency
.
Key Responsibilities
Design and support
electrical power systems for data center infrastructure
, including medium-voltage distribution, switchgear, transformers, and UPS systems.
Support the
integration of large generator plants
used for backup power in mission-critical environments.
Contribute to the design and implementation of
Battery Energy Storage Systems (BESS)
, including battery systems, inverters, and energy management systems.
Coordinate electrical system layouts and equipment integration with multidisciplinary engineering teams.
Review electrical drawings, specifications, and technical documentation to ensure compliance with project requirements and industry standards.
Participate in technical discussions, design reviews, and coordination meetings with U.S.-based teams.
Requirements
Electrical Engineering degree
8+ years of professional experience
Proven experience working on
data center electrical infrastructure
Experience with
backup power systems and generator integration
Exposure to
Battery Energy Storage Systems (BESS) or large-scale energy storage projects
Strong knowledge of
medium-voltage electrical systems, switchgear, transformers, and protection systems
Previous experience working on
U.S.-based engineering projects is highly valued
Fluent English communication skills
Nice to Have
Experience working with
hyperscale data center projects
Benefits
Work for the most exciting companies in the North American Market.
Flexible schedules.
Work from anywhere.
Highly competitive compensation.
УдалённоseniorMexico; Colombia; Argentina; Chile; Brazil
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Location: Mexico City, Mexico; Colombia; Argentina; Costa Rica; Peru
We are seeking a
Mechanical Engineer with strong experience in piping and cooling systems
to support the design and development of
modular data center infrastructure
. This role focuses on engineering
water-based cooling systems and piping networks
that support mission-critical data center environments.
The ideal candidate may come from a
Mechanical Engineering, Piping Engineering, or Process Engineering background
, with solid experience designing
fluid systems, cooling loops, and piping layouts
for industrial or data center projects.
Key Responsibilities
Design and develop
piping systems for water-based cooling solutions
in modular data centers
Support the engineering of
water tank cooling systems and cooling distribution networks
Prepare
piping layouts, system diagrams, and technical documentation
Collaborate with multidisciplinary teams to integrate mechanical systems into modular data center units
Ensure systems meet
performance, reliability, and operational requirements
for mission-critical facilities
Requirements
Degree in
Mechanical Engineering or related field
Strong experience with
piping and cooling systems design
Experience in
data centers or industrial cooling systems
Previous experience working with the
U.S. market is valued
Fluency in English is mandatory
Ability to
present a portfolio including data center projects
Strong communication skills and ability to collaborate with international teams
Nice to Have
Experience with
modular data centers or prefabricated infrastructure systems
Experience designing
water tank cooling systems or chilled water systems
Benefits
Work for the most exciting companies in the North American Market.
Flexible schedules.
Work from anywhere.
Highly competitive compensation.
УдалённоMexico City, Mexico; Colombia; Argentina; Costa Rica; Peru
Location: Oakland, California, United States, AMER
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
Fivetran needs an engineer-architect who can make the AI analyst experience real, dependable, and extensible. This role owns the architecture behind the analyst AI system, including metadata contracts, tool interfaces, context assembly, prompt and skill orchestration, evaluation loops, and the operational patterns that make agents useful in real workflows instead of isolated demos.
This is a systems role as much as an AI role. The challenge is not just getting an LLM to do something impressive once. The challenge is building a product-quality analyst system that can reason over schema and business context, use tools correctly, recover from ambiguity, and improve through disciplined evaluation and iteration.
This is a full-time, hybrid position based at our Oakland, CA office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.
What You'll Do
Define the architecture for the analyst AI stack across prompts, tools, metadata, memory and context strategies, evaluation, and runtime safety.
Build the abstractions and interfaces that allow product teams to add new agent capabilities without creating brittle prompt sprawl.
Design retrieval and context strategies that give the model the right information at the right time with strong cost, latency, and quality tradeoffs.
Establish evaluation loops, benchmark suites, and review processes so model behavior can be measured, debugged, and improved systematically.
Partner with product, engineering, and analyst-domain experts to translate real analytical workflows into robust AI-assisted product capabilities.
Drive quality standards around correctness, trust, transparency, and failure handling in analyst-facing AI experiences.
What We're Looking For
Deep experience building AI-enabled product systems, not just running experiments.
Strong software architecture skills, especially around APIs, contracts, orchestration, and system boundaries.
Practical understanding of LLM prompting, tool use, retrieval, structured outputs, and evaluation methods.
Ability to work fluently across backend engineering, product constraints, and user workflow design.
Clear judgment about where agent systems should be flexible and where they should be constrained.
Comfort working in ambiguous environments where patterns are still being invented.
Why This Role Matters
The quality of the AI analyst experience will shape how differentiated Fivetran feels. This role determines whether the system is merely novel or actually reliable enough to become part of an analyst's day-to-day workflow. Strong architecture here reduces product risk and creates leverage for the rest of the team.
#LI-HYBRID #LI-DJ1
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Oakland Pay Range
$251,835
—
$314,794 USD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: Global (Remote)
Workplace: Remote
DECISION SYSTEMS ARCHITECT
Team: Product
Location: Flexible / Remote
Reporting to: Product Leadership
ROLE OVERVIEW
Sena is designed to translate complex business intent into decision-grade outputs at scale.
The Decision Systems Architect plays a critical role in advancing Sena’s decision capabilities by formalizing judgment, reasoning frameworks, and evaluation logic into system-native structures. This role focuses on extending the breadth, depth, and consistency of Sena’s decision logic as new customer use cases, signal types, and business questions emerge.
This is a product-embedded role at the intersection of systems thinking, applied reasoning, and AI enablement.
KEY RESPONSIBILITIES
The Decision Systems Architect is responsible for:
- Designing and refining decision frameworks that guide how Sena interprets customer intent
- Defining signal mapping logic that structures how business questions are decomposed into actionable signals
- Establishing configuration schemas that specify how data must be captured to support decision-grade outputs
- Creating evaluation criteria and quality standards used to assess system outputs
- Identifying recurring patterns, edge cases, and failure modes, and formalizing them into reusable system logic
- Producing structured artifacts that directly inform Product and AI development workflows
- Collaborating closely with Product, AI, and Engineering teams to ensure decision logic is encoded effectively into Sena
All work in this role is expected to be system-oriented, reusable, and extensible.
ROLE IMPACT AND GROWTH
This role contributes to Sena’s evolution as new business problems, customer objectives, and data environments emerge.
As the system’s capabilities expand, the focus of this role naturally shifts toward:
- New classes of customer questions
- New signal types and constraints
- More complex decision structures and tradeoffs
- Higher-order reasoning patterns that have not yet been formalized
This role remains at the frontier of decision design as the product evolves.
QUALIFICATIONS AND PROFILE
We are looking for individuals who demonstrate:
- Strong systems thinking and the ability to formalize complex reasoning
- Experience designing frameworks, methodologies, or structured decision logic
- The ability to translate ambiguous problems into clear, explicit structures
- Comfort working in highly autonomous, fast-moving environments
- Intellectual curiosity and a willingness to challenge established methods
Candidates may come from applied research or technically rigorous domains where deep reasoning, formal abstraction, and the hands-on design of complex decision systems were core to the work.
CULTURAL FIT
We value people who:
- Take initiative and operate with high ownership
- Produce high output with limited resources
- Prefer autonomy and accountability
- Are inventive and comfortable rejecting outdated approaches
- Are deeply focused and driven by hard problems
This role is best suited for individuals who enjoy building foundational systems and pushing the boundaries of what software can reason about.
HOW CANDIDATES ARE EVALUATED
Candidates are evaluated based on:
- Their ability to structure and reason through ambiguous problems
- The clarity, generalizability, and technical rigor of the frameworks they design
- How effectively their thinking can be translated into system-level logic
- The quality and rigor of their judgment under real-world constraints
- Their ability to independently design, execute, and iterate on decision frameworks
We prioritize demonstrated capability and depth of thinking over resumes alone.
SUMMARY
The Decision Systems Architect helps define how Sena thinks as it continues to expand across new domains and use cases. This role is central to shaping the system’s long-term decision intelligence and is designed for individuals who want to work at the intersection of reasoning, systems, and product design.
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
At Baseten, we are building the global operating system for distributed, heterogeneous AI hardware. We believe that as LLM and multi-modal workloads scale, the network is the computer. We are looking for foundational engineers to lead our GPU Networking efforts, making RDMA a first-class building block in our infrastructure and unlocking the next generation of distributed inference optimizations.
Networking and compute are no longer separate disciplines; they are converging. The massive throughput of H100, B200, and NVL72 architectures enables and demands a new approach where communication is co-optimized alongside computation. We are entering an era where the network is an active accelerator, leveraging smart hardware offloads and direct interconnects to ensure that data movement operates at wire-speed.
In this role, you will go beyond network configuration to architect the software fabric that unifies thousands of GPUs into a cohesive operating system. While you will leverage the best of the open-source ecosystem, you won't be limited by it. Where off-the-shelf solutions stop, you will build from scratch, engineering the primitives required to co-optimize communication and compute for Disaggregated Serving, Wide Expert Parallelism (WideEP), and lightening cold starts.
RESPONSIBILITIES
- Make RDMA First-Class: You will work on integrating RDMA/RoCE/InfiniBand capabilities directly into our inference stack, helping us move beyond TCP/IP to unlock order-of-magnitude improvements in bandwidth and latency.
- Optimize Distributed Inference: You will implement and tune the networking layers necessary for efficient Disaggregated KV Cache Offload and WideEP, ensuring seamless communication across NVLink and InfiniBand for our MoE models.
- Enable Serverless-Grade Startup Speeds for LLMs: You will work deeply with checkpointing and storage mechanisms to enable sub-10-second startup for trillion-parameter models.
- Deep-Dive into Hardware: You will characterize and validate networking performance on bleeding-edge clusters (H100/H200, B200/B300, GB200/300 NVL72), writing the acceptance tests that ensure our hardware delivers peak achievable throughput and minimal latency.
- Build Observability: You will design the tools that let us visualize packet flow, congestion, and effective bandwidth across the GPU interconnects, helping us diagnose complex distributed system behaviors.
- Optimize Kernels: You will work with communication libraries (NCCL, NVSHMEM) and potentially write custom communication kernels to overlap compute and data transfer.
REQUIREMENTS
- You have deep experience with high-performance networking protocols (InfiniBand, RoCE v2) and understand the physics of data movement.
- You are fluent in C++ or Python, with the ability to bridge the gap between high-level logic and hardware. You have a deep understanding of the memory hierarchy in modern NVIDIA architectures (H100/Blackwell) and know how to optimize for it.
- You like going deep. You aren't afraid to dive into TensorRT-LLM source code, write custom C++ / Python bindings, or debug NVLink topology issues.
- You know when to use an off-the-shelf solution and when we need to build a custom solution because the upstream tools (like standard Kubernetes networking) are too slow for our needs.
NICE TO HAVE
- Deep knowledge of NCCL, NVSHMEM, and UCX.
- Experience with Rust for systems-level or performance-critical networking code is a strong plus
- Experience with GPUDirect Storage (GDS) or high-performance filesystems like Weka or 3FS.
- Familiarity with TensorRT-LLM, vLLM, or SGLang.
- Experience running low-level benchmarks to "qualify" new hardware clusters.
THE TEAM
- Bleeding Edge Hardware: We are preparing to bring Blackwell (B200/B300) and then Rubin architectures online. You will be one of the first engineers in the industry optimizing networking for NVL72/GB300 racks.
- We go deep: We operate at every depth. Whether it’s tuning hardware interconnects, writing custom communication kernels, or designing distributed inference strategies, we work across the entire stack to deliver performance that goes far and beyond.
- High Impact: The networking optimizations you build will directly enable features that no one else in the industry has fully mastered yet, like seamless multi-node WideEP and instant model hydration.
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: Home based - EMEA
Canonical is a leading provider of open-source software and operating systems for 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 more than 80 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 an
Engineering Director
, who strives for taking ownership of the development and operations of internal software products serving Canonical business and a popular security solution Livepatch. A successful candidate has a track record of delivering full-stack software services, adheres to high engineering quality standards, and continuously develops their skills as well as skills of their direct reports. This is an exciting opportunity to work with highly enthusiastic people on exciting innovative engineering solutions supporting Canonical's growth and learn a lot about engineering for the business.
The engineering director will lead the Commercial Systems unit that is conceived as three engineering teams that closely collaborate with other engineering and business teams at Canonical. Services designed, developed, and operated by the Commercial Systems unit are at the heart of Canonical business. We are looking for a software engineering director to oversee the three software teams led by software engineering managers.
The
Billing
team designs, develops, and operates a Golang service that provides a standardized and scalable capability to turn metrics into billable amounts, enable customers to see their current spend with Canonical at any time, and ensure accurate, reliable, and timely billing. The service further integrates with other engineering, business and payment systems.
The
Contracts
team designs, develops, and operates a Golang service that will become the single source of truth for all contracts with all customers. The service provides a standardized CPQ capability and stores signed contracts in a structured format. The service further integrates with other engineering and business systems including a CRM system and an accounting system.
The
Livepatch
team designs and develops a service for the delivery of Linux kernel patches to shrink the exploit window for critical and high severity Linux kernel vulnerabilities, by patching the Linux kernel between security maintenance windows, while the system runs. The engineering team behind this product develops Golang based client and backend components, while another Canonical team, the Kernel team, develops the security patches.
Location
: This role will be based remotely in the EMEA region.
The role entails
Leading multiple teams of engineers, ranging from graduates to seniors
Developing your engineering managers to maintain Canonical culture in their teams
Developing and evangelize great engineering practices and processes in the teams
Setting and implementing solid performance management with performance goals and objectives with your direct reports and teams
Identifying and measuring indicators of team health, and take action where needed
Being accountable for the product development roadmaps in the teams
Being an active part of the Commercial Systems leadership team, collaborating with other leaders
Expanding your teams by hiring great talent
Collaborating with stakeholders and product users
What we are looking for in you
Exceptional academic track record from both high school and university
Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path
Proven ability to drive multiple teams or large teams of software engineers to deliver outstanding results
Engineering experience in at least one of the following areas: Golang, Python, Java, or distributed integrations
Track record of going above-and-beyond expectations to achieve outstanding results
Professional written and spoken English with excellent presentation skills
Result-oriented, with a personal drive to meet commitments
Ability to travel internationally twice a year, for company events up to two weeks long
Nice-to-have skills
Performance engineering and DevOps/SRE experience
Experience with accounting, sales, sales operations, or other business roles
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
Employee Assistance Program
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 its 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 - Americas
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
System Software Engineer for GCC/LLVM compiler, tooling, and ecosystem
We are building a team to focus on the modern C and C++ programming language and their ecosystem on Ubuntu. They will deliver the best possible GCC and LLVM runtimes, developer experience and supporting tooling in Ubuntu. They will ensure that the cutting edge of modern programming languages innovation is available to Ubuntu users, to lay the foundation for future inventions and open source communities.
This is an exciting opportunity for a software engineer with a strong passion for compilers, runtimes and tool chains. You will have excellent competencies in modern C/C++, Linux distributions, software architectures and open source software. Come build a rewarding, meaningful career working with the best and brightest people in open source technology at Canonical, a growing international software company and make Ubuntu the best operating system to develop and run C/C++ applications in the cloud, in datacenters, in containers, directly on the operating system, and anywhere Ubuntu can run.
The Ubuntu Foundations Team delivers the core Ubuntu system, the base for the entire Ubuntu family of products and services. Ubuntu strives to deliver the latest-best free software components, in an easy to use and highly reliable form. We build on the technical excellence of keystone open source software like GNU and Debian and bring additional focus and shape to the solutions we offer the industry.
Part of the Ubuntu Foundations team, you will work on one of the most critical toolchains involved in the making of Ubuntu and the pillars of the modern software ecosystem. You will leverage your competencies and experience in C, C++ to make Ubuntu the best platform to develop, distribute and consume software built with GCC and LLVM. You will be passionate about the future of C, C++, of Ubuntu, mindful of the dynamics of the open-source ecosystem, and equally aware of the needs of large but innovative organizations. You will drive the best in class integration in Ubuntu from desktop to cloud in a secure, reliable, performing, efficient and future-proof fashion.
You will be discussing design with other team members , mentor less senior engineers, and participate in code reviews and design reviews. You will also be working with other teams to ensure architecture decisions improve the overall performance and experience of Ubuntu. Your role as part of the Ubuntu Foundations team will have an impact on every aspect of Ubuntu from Desktop, Server, Ubuntu Core and also cloud images.
Location:
This role will be based remotely in the AMERICAS region
The role entails
Based on the first round of interviews, we identify specific teams where you might be an excellent fit and conduct second-round interviews with those teams. Our engineers are:
Collaborate proactively with a distributed team
Select, integrate and package best-of-breed tooling with Ubuntu to improve developer and operator experience with GCC and LLVM
Write high-quality code to create new features
Debug issues and produce high-quality code to fix them
Review code produced by other engineers
Discuss ideas and collaborate on finding good solutions
Work from home with global travel 2 to 4 weeks a year for internal and external events
What we are looking for in you
You have relevant GCC or LLVM experience, ideally in the world of cloud-native software and Linux
You have experience in packaging software for Debian and Ubuntu
You are a long-time Linux user
Exceptional academic track record from both high school and university
Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path
You love technology and working with brilliant people
You are passionate, curious, flexible, articulate, and accountable
You value soft skills and are passionate, enterprising, thoughtful, and self-motivated
Ability to travel internationally twice a year for company events up to two weeks long
Nice-to-have skills
Experience with Linux distributions and distribution engineering
Experience with software packaging and distribution mechanisms
Understanding of build systems and toolchains, including for cross-compilation
Performance or Security Engineering experience
What we offer you
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. 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 on a daily basis. 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. Canonical has been a remote-first company since its 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.
Location: San Francisco
Workplace: Hybrid
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
Harvey designs and builds for a legal industry being reshaped by AI, moving with the urgency and ambition the moment demands, not just adapting to change but architecting it. As a Design Systems Designer at Harvey, you will define the foundations that make our product coherent, scalable, and trustworthy as it grows in complexity. The design system is not just a library of components. It is the shared language between design, engineering, and AI that ensures consistency, quality, and confidence across every interaction.
This is a design role with unusual technical depth. You lead with design: craft, systems thinking, and a strong point of view on product experience. But you're equally at home in architecture and implementation. You understand how tokens are structured, how components are composed, and how systems are built to scale, and you use that fluency to push the system forward rather than hand decisions over the wall.
We're looking for someone who has lived through the evolution of the discipline, someone who understands not just how modern design systems work, but why they're built the way they are, and where the field is heading, especially as AI-native products reshape what a design system needs to be.
This role will report to the Design org, and will be based in SF, NYC, or Toronto.
WHAT YOU’LL DO
1. Build an AI-native design system that sets the bar for design quality for Design, Engineering, and Product through technical direction and collaboration
- Design, prototype, and ship production-ready system components in tight collaboration with frontend and platform engineering, with shared ownership of quality, performance, and maintainability
- Define and evolve the core design system foundations (components, patterns, and tokens) that scale across complex, AI-powered experiences
- Push both the architecture and the implementation of the system: shape component APIs, token structure, theming, and composition patterns alongside engineering, not downstream of it
- Advocate for technical approaches with confidence, especially in new or ambiguous territory where established patterns don't yet exist
- Embed accessibility, responsiveness, and performance into the system by default
- Establish clear contribution, governance, and deprecation models that balance velocity with system integrity
- Raise the bar for system quality across the product through design reviews, critique, and hands-on work
- Build alignment across Design, Engineering, and Product through technical direction and collaboration
- Anticipate future product and platform needs, evolving the system proactively as Harvey scales
2. Own AI design and implementation workflows for the design team, establishing best practices for prototyping and shipping with AI
- Establish in-code prototyping patterns that make it easier to be innovative and consistent as designers increasingly leverage IDEs to experiment and ship.
- Define AI-assisted design and implementation workflows, establishing best practices for prototyping and shipping with AI
- Document system usage and best practices in a way that is clear, practical, and trusted by product teams
WHAT YOU HAVE
- 5+ years (Senior) / 8+ years (Staff) of product design experience, with significant ownership of design systems in complex product environments
- A design portfolio that demonstrates high design craft in system-level thinking, but a strong point of view on quality, and visual cohesion
- Deep design systems expertise, including an understanding of the history and evolution of the discipline. You know why the field moved from style guides to tokens to composable architectures, and you have a point of view on what comes next
- Excellent design engineering communication: you articulate system decisions and tradeoffs fluently to designers, engineers, and cross-functional partners
- Ability to clearly articulate system decisions and tradeoffs to designers, engineers, and cross-functional partners
- Strong knowledge of scalable system architecture and component implementation: component API design, design tokens, theming strategies, and how systems hold up across teams and codebases
- Design Engineer experience preferred, but not required in an AI-first world where the boundary between design and engineering is shifting
- High ownership: you treat the system as a product, not a ticket queue
- Strong opinions, loosely held, being comfortable challenging conventions and evolving best practices as the discipline changes
- Comfort operating in ambiguous problem spaces and bringing structure where it doesn't yet exist
WHY DESIGN SYSTEMS MATTER AT HARVEY
Harvey is an AI-native product. As the system reasons, responds, and adapts in real time, the interface must remain consistent and legible. A strong design system ensures that complexity does not leak into the experience. It enables teams to move faster, reduces cognitive load for users, and builds trust in moments where clarity matters most.
COMPENSATION
$205,760 - $315,000 USD
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922].
#LI-JC1
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Location: New York
Workplace: Hybrid
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
Harvey designs and builds for a legal industry being reshaped by AI, moving with the urgency and ambition the moment demands, not just adapting to change but architecting it. As a Design Systems Designer at Harvey, you will define the foundations that make our product coherent, scalable, and trustworthy as it grows in complexity. The design system is not just a library of components. It is the shared language between design, engineering, and AI that ensures consistency, quality, and confidence across every interaction.
This is a design role with unusual technical depth. You lead with design: craft, systems thinking, and a strong point of view on product experience. But you're equally at home in architecture and implementation. You understand how tokens are structured, how components are composed, and how systems are built to scale, and you use that fluency to push the system forward rather than hand decisions over the wall.
We're looking for someone who has lived through the evolution of the discipline, someone who understands not just how modern design systems work, but why they're built the way they are, and where the field is heading, especially as AI-native products reshape what a design system needs to be.
This role will report to the Design org, and will be based in SF, NYC, or Toronto.
WHAT YOU’LL DO
1. Build an AI-native design system that sets the bar for design quality for Design, Engineering, and Product through technical direction and collaboration
- Design, prototype, and ship production-ready system components in tight collaboration with frontend and platform engineering, with shared ownership of quality, performance, and maintainability
- Define and evolve the core design system foundations (components, patterns, and tokens) that scale across complex, AI-powered experiences
- Push both the architecture and the implementation of the system: shape component APIs, token structure, theming, and composition patterns alongside engineering, not downstream of it
- Advocate for technical approaches with confidence, especially in new or ambiguous territory where established patterns don't yet exist
- Embed accessibility, responsiveness, and performance into the system by default
- Establish clear contribution, governance, and deprecation models that balance velocity with system integrity
- Raise the bar for system quality across the product through design reviews, critique, and hands-on work
- Build alignment across Design, Engineering, and Product through technical direction and collaboration
- Anticipate future product and platform needs, evolving the system proactively as Harvey scales
2. Own AI design and implementation workflows for the design team, establishing best practices for prototyping and shipping with AI
- Establish in-code prototyping patterns that make it easier to be innovative and consistent as designers increasingly leverage IDEs to experiment and ship.
- Define AI-assisted design and implementation workflows, establishing best practices for prototyping and shipping with AI
- Document system usage and best practices in a way that is clear, practical, and trusted by product teams
WHAT YOU HAVE
- 5+ years (Senior) / 8+ years (Staff) of product design experience, with significant ownership of design systems in complex product environments
- A design portfolio that demonstrates high design craft in system-level thinking, but a strong point of view on quality, and visual cohesion
- Deep design systems expertise, including an understanding of the history and evolution of the discipline. You know why the field moved from style guides to tokens to composable architectures, and you have a point of view on what comes next
- Excellent design engineering communication: you articulate system decisions and tradeoffs fluently to designers, engineers, and cross-functional partners
- Ability to clearly articulate system decisions and tradeoffs to designers, engineers, and cross-functional partners
- Strong knowledge of scalable system architecture and component implementation: component API design, design tokens, theming strategies, and how systems hold up across teams and codebases
- Design Engineer experience preferred, but not required in an AI-first world where the boundary between design and engineering is shifting
- High ownership: you treat the system as a product, not a ticket queue
- Strong opinions, loosely held, being comfortable challenging conventions and evolving best practices as the discipline changes
- Comfort operating in ambiguous problem spaces and bringing structure where it doesn't yet exist
WHY DESIGN SYSTEMS MATTER AT HARVEY
Harvey is an AI-native product. As the system reasons, responds, and adapts in real time, the interface must remain consistent and legible. A strong design system ensures that complexity does not leak into the experience. It enables teams to move faster, reduces cognitive load for users, and builds trust in moments where clarity matters most.
COMPENSATION
$205,760 - $315,000 USD
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922].
#LI-JC1
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Location: Lugano
Workplace: OnSite
Blockstream https://blockstream.com/ was founded in 2014 by Dr. Adam Back https://en.wikipedia.org/wiki/Adam_Back and a group of fellow cryptographers and engineers passionate about Bitcoin and its potential to change the future of finance. We have become a market leader in Bitcoin security and Layer-2 technologies. Our products are designed to make financial systems more efficient, secure, and robust.
We are seeking Software Engineers, an entry-level to more senior technical role focused on learning and contributing to the development of blockchain and digital asset solutions for enterprise and institutional clients. This role provides hands-on experience with distributed systems, cryptography, and financial technology while working alongside experienced developers and architects.
Within the Service & Enterprise Solutions organization, the Software Engineers contribute to building secure, scalable platforms for banking clients. This role offers the opportunity to work with cutting-edge blockchain technologies, learn industry best practices, and grow technical skills in a fast-paced fintech environment.
What You'll Be Doing (Responsibilities):
- Write clean, maintainable code following team coding standards and best practices
- Implement features and functionality based on technical specifications
- Debug and resolve software defects with guidance from senior team members
- Develop and execute unit tests to ensure code quality
- Participate in code reviews to learn from experienced developers
- Support integration activities with APIs, databases, and external systems
- Document code and technical processes clearly
- Collaborate with architects, DevOps engineers, and QA teams
- Learn and apply software development principles, design patterns, and fintech domain knowledge
What We Look for In You (Required Qualifications):
- Bachelor's degree in Computer Science, Software Engineering, or related field (or equivalent practical experience)
- 0-5 years of professional software development experience (internships and academic projects count)
- Proficiency in at least one programming language (Python, JavaScript/TypeScript, Go, Java, or Rust)
- Understanding of fundamental programming concepts: data structures, algorithms, object-oriented programming
- Familiarity with version control systems (Git) and collaborative development workflows
- Self-starter with proven ability to work collaboratively across multiple teams and geographies, demonstrating high-quality and high-touch customer engagement throughout all phases of delivery
- Strong problem-solving abilities and attention to detail
- Eagerness to learn new technologies and adapt quickly
- Languages: English required; Swiss German/German, French and/or Italian a plus
- Location: Switzerland, with focus on Lugano
Nice To Haves (Preferred Qualifications):
- Basic understanding of blockchain, distributed systems, or cryptography concepts
- Exposure to API design and RESTful services
- Interest in cryptocurrency, digital assets, or decentralized technologies
- Experience with databases (SQL/NoSQL)
- Familiarity with cloud platforms (AWS, Azure, GCP) or containerization (Docker)
- Understanding of agile development methodologies
- Contributions to open-source projects or personal coding portfolio
- Interest in progressing into senior development or architecture roles
🔒 Stay Safe from Job Scams
All official Blockstream communication will come from an @blockstream.com http://blockstream.com email address. We will never ask you to share sensitive information or purchase equipment during the hiring process. If in doubt, contact us at hr@blockstream.com. Learn more about avoiding job scams here https://consumer.ftc.gov/consumer-alerts/2022/05/want-work-home-spot-scams-first.
Location: Dhahran, Saudi Arabia
Eram Talent is actively seeking an IT Application & Systems Analyst to join our dynamic team. In this role, you will be responsible for analyzing, designing, and implementing IT applications and systems that support organizational objectives. You'll work closely with various stakeholders to gather requirements, troubleshoot issues, and ensure that the IT applications meet the evolving needs of the business.
Your expertise will contribute to the optimization and continuous improvement of our IT systems, enhancing performance and user experience. This is an exciting opportunity to be part of a fast-paced environment where your skills and insights will drive impactful solutions.
Requirements
Key Responsibilities:
• Develop and implement a comprehensive data management strategy to support the Operational Excellence & Compliance Division's safety goals and objectives.
• Design, build, and maintain dashboards and reports to provide insights and trends on safety performance, identifying areas for improvement and opportunities for optimization.
• Develop and implement data management solutions, including data collection, storage, and analysis, to support safety-related data and metrics.
• Collaborate with stakeholders to identify and prioritize data requirements, and develop solutions to meet those needs.
• Develop and maintain data quality control processes to ensure accuracy, completeness, and consistency of safety data.
• Provide technical leadership and guidance to junior team members, and mentor them in the development of their skills and expertise.
• Collaborate with the IT department to implement new software and systems, including:
o Providing system requirements and specifications to ensure alignment with business needs.
o Participating in the design and development of new systems and software.
o Conducting testing and quality assurance to ensure system functionality and performance.
o Providing training and support to end-users to ensure successful adoption and utilization of new systems and software.
• Ensure compliance with relevant company policies, procedures, and regulatory requirements related to data management and safety reporting.
QUALIFICATION AND EXPERIENCE
• Bachelor's degree in a related field (e.g. Computer Science, Information Technology).
• Minimum 10 years of experience in business analysis, preferably in the Oil & Gas industry, with a strong background in Safety.
• Strong knowledge of business analysis principles, data analysis, and reporting techniques.
• Experience with data management, including data collection, storage, and analysis.
• Strong analytical, problem-solving, and communication skills.
• Ability to work in a team environment and collaborate with stakeholders at all levels.
• Proficiency in programming languages, such as SQL, Python, and R.
• Experience with data visualization tools, such as Tableau or Power BI.
• Knowledge of machine learning and artificial intelligence techniques, including predictive analytics and data mining.
• Certification in business analysis, such as Certified Business Analyst Professional (CBAP) or Certified Management Consultant (CMC), is preferred.
• Experience with cloud-based business analysis tools and platforms, is preferred but not required
Work Location: Office
Weekly Hours: 8 hours per day (Office)
Location: Amsterdam, Netherlands; 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.
The role
The VPC (Virtual Private Cloud) team builds and operates the core networking layer of our cloud platform. We enable virtual machines to communicate reliably by abstracting them from the underlying physical network, providing seamless IP-based connectivity even as workloads move across the datacenter.
Our team designs secure, isolated private networks for customers, connects them to the public internet, and delivers essential networking services such as load balancers, firewalls, and security groups. Because nearly every cloud application depends on networking, VPC is a foundational service for the entire platform.
Stability and resilience are our top priorities—we engineer systems to remain reliable and operational even when parts of the cloud experience failures.
Our team both develops the control-plane, written in Golang, and supports open-source based dataplane, written mostly in C. This makes us quite unique in that we both have high-level control plane tasks and low-level system research tasks, with different team members focusing more on one part or the other.
What we do:
Increase service scalability and reliability
Develop the control & data plane for Nebius Cloud network services
Develop service functionality (e.g. IPv6 support, service endpoints, VPC peering, L7 load balancers and other networking services)
Improve the internal architecture, optimizing interaction with related services
Debug datapath and kernel issues, including performance related issues
Perform load testing for services
We expect you to have
:
Capable of writing reliable, high-performance concurrent code
Proficient in Go and able to read C/C++, or be ready to learn both
Familiar with routing network traffic
It would be an added bonus if you
:
Worked with OVS, VPP, DPDK, Linux kernel network subsystem or other network dataplanes
Well-versed in virtual networks and overlays, SDN, NFV, DPI, network protocols, routing and tunneling, BGP, and MPL
We conduct coding interviews as part of the process.
#LI-JS1
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: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic is looking for a Senior Partner Account Manager (PAM) to own our relationship with one to two of the world's largest global systems integrators. This is a general-management role disguised as an alliance role: you will set the multi-year joint strategy with the partner's C-suite, negotiate the strategic agreement that underpins it, and then build the machine — go-to-market, solution co-development, delivery readiness, and enablement at a scale of tens of thousands of practitioners — that turns Claude into one of the partner's largest and fastest-growing practices.
You will be measured on the size and health of the joint business: progress against a $1B+ Claude practice plan, Anthropic ARR sourced and influenced through the partner, certified and delivery-ready practitioners (50,000+), co-developed solutions in market with reference-able customers, and the depth of executive alignment on both sides.
Key responsibilities
Own the joint business.
Build and run a multi-year joint business plan with each GSI covering services bookings, Anthropic ARR, priority industries and geographies, investment, and headcount. Report on it to Anthropic and partner executive leadership quarterly.
Lead at the C-suite.
Be the primary Anthropic relationship owner for the partner's Group CEO, service-line and industry CEOs, CTO/Chief AI Officer, and Chief Learning Officer. Map and activate Anthropic executive sponsors, run CEO-level QBRs, and shape the partner's public AI narrative (earnings calls, analyst days, flagship events) around Claude.
Negotiate the strategic agreement.
Structure and close multi-year strategic collaboration agreements spanning consumption and resale commitments, co-investment and market development funds, co-marketing, IP and solution terms, and enterprise-wide internal deployment of Claude across the partner's own workforce.
Co-develop solutions.
Partner with Anthropic Product, Applied AI, and the GSI's CTO office to co-build industry and horizontal offerings, agentic and Claude Code delivery accelerators, and reference architectures; take them to market with named launch customers and published references.
Build a 50,000+ practitioner practice.
Design and land a certification and delivery-readiness system inside the partner — embedded in their academy/L&D, train-the-trainer led, tied to Claude Partner Network tier requirements — and hold the partner accountable to capability they build themselves rather than capacity Anthropic supplies.
Drive global co-sell.
Stand up joint account planning and pursuit governance with Anthropic field leadership across NA, EMEA, and APAC; personally engage on the largest strategic pursuits; ensure clean attribution through deal registration and CRM discipline.
Run alliance governance.
Establish and chair a joint steering committee with named workstreams (GTM, solutions, delivery readiness, enablement, marketing), clear owners on both sides, and a published operating cadence.
Lead through others.
Orchestrate a global virtual team of partner solutions architects, partner marketing, enablement, regional PAMs, and sales leaders; mentor PAMs across the team; scope and make the case for dedicated resourcing as the business scales.
Shape the program.
Bring the voice of the largest GSIs into Anthropic's partner strategy, Elite-tier program design, and product roadmap.
Minimum qualifications
15+ years in alliances, partner sales, or consulting leadership, including 8+ years owning a top-tier GSI relationship (e.g., IBM, NTT Data, Capgemini) at a hyperscaler or category-defining enterprise software/AI company — or the mirror-image role leading a hyperscaler/AI alliance from inside a GSI.
A track record of personally building or scaling a partner practice to $500M–$1B+ and tens of thousands of trained practitioners, with the joint business plan, governance, and metrics to show for it.
Demonstrated C-suite presence: you have set agendas with GSI Group CEOs and service-line leaders, and you can hold a strategy conversation and a commercial negotiation in the same meeting.
Experience negotiating and closing multi-year strategic collaboration agreements with nine-figure commitments.
Fluency in GSI economics — utilization, pyramid, offering margin, industry P&Ls, delivery-center models — and how a new technology practice actually gets funded and staffed inside one.
A strongly commercial orientation: you are a business driver first and a relationship manager second, and you are comfortable pushing a partner to invest in its own capability.
Global operating experience across NA, EMEA, and APAC, including time with India-based delivery leadership.
Low ego, high curiosity, and a habit of making the people around you better; you put the mission ahead of personal credit.
Preferred qualifications
Experience launching co-developed partner solutions with a product/engineering organization, including agentic or developer-tooling offerings.
Prior ownership of a large-scale partner certification or academy program.
Hands-on familiarity with Claude, Claude Code, LLM application architectures, and enterprise AI deployment and governance.
Experience at a high-growth company where the program was being built while the plane was flying.
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:
$300,000
—
$365,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: New York
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 an Engineering Manager to lead a team of highly experienced engineers building the infrastructure that powers Modal’s serverless GPU platform. This is a hands-on leadership role. Expect to split your time between technical contribution and people management depending on what the team needs. You’ll set direction, remove blockers, and build a strong engineering culture as your team tackles hard problems in distributed computing, large-scale data handling, and performance optimization.
WHAT YOU’LL WORK ON:
Team
- Recruit, hire, and grow a high-performing team of cloud platform engineers; run regular 1:1s focused on coaching, feedback, and career growth
- Set clear performance expectations, hold a high bar, and build an environment where engineers do their best work
- Foster a culture of ownership, accountability, and continuous improvement
Technical Direction
- Drive day-to-day technical decisions through design reviews, code reviews, and architectural discussions
- Translate the infrastructure roadmap into clear team priorities and milestones, and hold execution against them
- Establish standards for reliability, performance, and operational excellence; ensure the team owns projects end-to-end, from spec through production
- Push for good judgment on tooling and architecture, with a bias against unnecessary complexity
Cross-Functional & Incident Leadership
- Partner with product and engineering to align infrastructure work with business priorities; represent your team’s progress, capacity, and tradeoffs clearly to leadership
- Serve as the escalation point for major incidents; drive resolution with urgency and ensure the team learns systematically, feeding those learnings back into infrastructure improvements
YOU MAY BE A FIT IF:
- You have 10+ years of industry experience, including 3+ years in a leadership role
- You have a track record of building high-performance distributed systems at scale
- You have a strong background in cloud infrastructure
- You have deep knowledge of low-level OS foundations (Linux kernel, file systems, containers, etc.)
- You’re proficient in a systems-level language (Rust, C, C++, or Java)
- You’re an experienced engineering leader who stays close to the work and builds alongside your team when it counts
- You earn trust through technical depth, not title
- You communicate clearly, help strong engineers move fast without cutting corners, and stay calm and pragmatic under pressure
- You care as much about how your team gets to an answer as about the answer itself
Location: United States
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role:
The role involves forming technical hypotheses, designing targeted tests, analyzing system logs and low-level hardware data, and distinguishing between GPU, host, firmware, interconnect, thermal, and physical hardware failures. It requires strong ownership, curiosity, and the ability to turn ambiguous problems into evidence-based conclusions and repeatable troubleshooting procedures.
This is a senior systems engineering role focused on diagnosing and resolving complex hardware and platform failures in high-performance AI infrastructure. This engineer will work across Linux, GPU servers, PCIe, firmware, power, and cooling to determine the true root cause of issues that may not have an existing troubleshooting procedure.
What skills we expect you to have:
Minimum 5 years of hands-on systems engineering experience across Linux, server hardware, firmware, PCIe, and GPU or high-performance computing platforms.
Extensive Linux experience, particularly using Linux as an environment for hardware debugging, system-level troubleshooting, and platform investigation.
Knowledge of the Linux kernel and experience with kernel-level debugging or troubleshooting.
Strong knowledge of modern server architecture, particularly in high-performance, GPU-based environments.
Strong knowledge of NVIDIA GPU platforms and diagnostic tooling, including nvidia-smi, XID and SXID analysis, GSP and driver behaviour, NVLink, NVSwitch, Fabric Manager, DCGM diagnostics, and NCCL testing
Deep knowledge of PCIe, including topology, enumeration, root complexes, endpoints, switches, bridges, retimers, link speed and width, AER and DPC errors, completion timeouts, and link failures. Candidates should understand how protocol-level errors can relate to physical-layer or signal-integrity problems.
Experience benchmarking systems for performance, stability, power efficiency, thermal behaviour, and workload characteristics
In depth understanding of firmware interactions across BIOS/UEFI, BMC, CPLD/FPGA, GPU firmware, NIC firmware, and other platform components.
Experience with low-level hardware communication and debugging using I²C, SMBus, PMBus, register maps, bit masks, byte- and word-level data, and device datasheets.
Demonstrated ability to troubleshoot complex hardware, software, and networking issues.
Experience with deep problem investigation, root cause analysis, and performance optimization in cloud or high-performance computing environments.
Strong analytical and problem-solving skills with a performance-first mindset.
Scripting and automation using various languages (Python\Go)
Key employee benefits:
Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families.
401(k) plan: up to 4% company match with immediate vesting.
Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
Remote work reimbursement: up to $85/month for mobile and internet.
Disability & life insurance: company-paid short-term, long-term and life insurance coverage.
Compensation
We offer a competitive salary ranging from $179,500- $224,300 + quarterly performance bonuses.
Join Nebius Today!
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.
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