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
Site Selection & Colocation Manager
is responsible for identifying, evaluating, and securing optimal locations for new data center developments and colocation expansions. This role combines real estate strategy, technical due diligence, market analysis, and vendor management to support the company’s global data center growth. The manager will collaborate closely with engineering, construction, finance, legal, and network planning teams to ensure that selected sites meet operational, technical, and business requirements.
You’re welcome to work in our office in
Amsterdam or Remote in the EU.
Your responsibilities will include:
Site Selection & Market Analysis
Lead the end-to-end site selection process for new data center facilities.
Conduct market assessments, including power availability, fiber connectivity, land suitability, regulatory requirements, and risk factors.
Build and maintain market intelligence on emerging data center regions, supply trends, energy markets, and colocation pricing.
Evaluate and shortlist candidate sites through comparative analysis, scoring models, and feasibility studies.
Technical & Environmental Due Diligence
Coordinate environmental, geotechnical, hydrological, and seismic assessments.
Assess infrastructure availability (power, water, fiber) and future scalability.
Evaluate construction constraints, climate conditions, logistics access, and permitting feasibility.
Work with engineering teams to ensure sites meet mechanical, electrical, and network resilience requirements.
Colocation Strategy & Vendor Management
Identify colocation providers and evaluate facilities based on technical specifications, SLA requirements, and cost structure.
Lead RFPs, negotiations, and contract execution with colocation and connectivity partners.
Manage colocation lifecycle: renewals, expansions, migrations, and optimization of space/power allocations.
Monitor vendor performance against SLA, uptime, compliance, and efficiency metrics.
Cross-Functional Collaboration
Work with data center design and construction teams to validate site feasibility and development timelines.
Partner with legal on contract terms, property acquisition, lease terms, and regulatory compliance.
Support finance with CapEx/OpEx modeling, ROI calculations, and business case development.
Coordinate with public authorities, utilities, and permitting agencies as needed.
Risk Assessment & Compliance
Evaluate risks related to natural hazards, geopolitical risk, security, environmental constraints, and utility reliability.
Ensure compliance with local regulations, zoning laws, and corporate standards.
Maintain documentation for audits, reporting, and internal approvals.
We expect you to have:
Bachelor’s degree in Real Estate, Engineering, Business, Geography, or related field.
5–8+ years of experience in site selection, real estate development, colocation management, or data center infrastructure.
Strong understanding of data center power, cooling, and network requirements.
Experience in evaluating colocation providers and negotiating leases/SLAs.
Analytical skills in market research, cost modeling, and risk assessment.
Ability to manage multiple simultaneous projects across regions.
Excellent communication, negotiation, and stakeholder management skills.
It will be
an added bonus
if you have:
Experience with hyperscale or large-scale data center development.
Knowledge of utility procurement (power, water), renewable energy markets, and substation planning.
Familiarity with geospatial tools (GIS), risk modeling, or data center capacity planning.
Understanding of permitting processes and environmental regulations.
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: Paris, France
Workplace: Hybrid
HEALTH CAN’T WAIT.
Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t.
Alan exists to end the wait.
Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way.
So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience.
We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR.
Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond.
⭐ CEO Founder Associate Internship ⭐
The position is open for gap year or end-of-study interns starting from July 2027, for a six-month internship. It is not open to MBA students.
CEO Founder Associates support the CEO and Senior Alaners on top business priorities, such as unlocking new growth, driving alignment on strategy, building new processes internally and externally and building new products. This role offers a unique opportunity to work on a diverse range of strategic projects in a dynamic, innovative environment, gaining invaluable experience across multiple facets of the business.
You will be highly involved in key challenges for Alan, and will be asked to support high added value tasks for Alan.
⭐ DETAILED MISSIONS ⭐
As such, you can’t be exhaustive on the missions you will perform as a FA, as you can be asked to help on almost any subject.
POSSIBLE PROJECTS INCLUDE:
- Strategy - Contribute to the strategic vision of the company, market analysis and competition, identify strategic business opportunities, perform business analyses and growth modelling
- Product & Design - Contribute to the product vision by identifying and exploring strategic product opportunities, support the continuous improvement of Alan’s core offering, conduct user research, assist in design & prototyping
- Growth - Coordinating RFP for big prospects, supporting marketing initiatives, partnerships.
- Corporate & Governance - Support the constitution of our board packs, public affairs work, legal research, fundraisings, key Alaners meetings.
- Brand & Communication - Develop the corporate presence at major events, via social networks; organise internal and external events to build the Alan network and leverage connections globally.
- Talent - Sourcing and recruiting the next batch of FA’s
In this position, you will get a great overview of the key strategic topics at Alan and you will have the chance to work with senior Alaners on topics that are instrumental to our success. You will grow exponentially with the guidance of senior Alaners. It is a unique chance to work on so many tasks in a different and non traditional environment.
Examples of recent projects:
- Strategy - Develop market entry strategies for international expansion, contribute RFP coordination for major prospects in the public sector, create go-to-market plans for new segments.
- Product - Assist in the development of core products in Alan’s offering (ex: Alan Walk), exploring opportunities to streamline the user experience market research to evaluate the opportunity to build new services within Alan
- Finance - Taking part and coordinating Series F fundraising: preparation of Pitch Deck, financial analysis to assess valuation, coordination of fundraising with investors
- Sales - Being project manager on the biggest tender in Alan's history: involvement throughout the whole process, coordination of Sales and Product teams to make the best offer possible
- Logistics - Organizing the annual Alaner reunion event: managing a budget of €300k to bring Alaners together over 2 days and create a sense of belonging
- Engineering - Collaborating with technical teams to develop Alan’s insurance pricing engine, supporting the integration of AI across various products to enhance both product offering and internal efficiency.
- Recurring tasks - Coordinating the weekly internal communication, supporting the CEO with meeting preparations, organising the internal events, recruiting the next batch of FAs- And many more...
⭐ PROFILE & COMPETENCIES ⭐
SKILLS
- Analytical sense and critical thinking: FAs have a lot of research and analysis to produce. This requires the ability to frame the right questions, objectively analyse and evaluate a problem, and problem-solve including simulating possible outcomes.
- Business’ and product sense: FAs often have to think at the company level, assessing what would be best for the business, and working on topics that have cross-cutting impacts. The ability to understand what can make a business great (product wise, commercially, in terms of image, etc.), and make correct decisions, even in the presence of ambiguity, is paramount.
- Execution and collaboration: given the scope, volume and timeline of work, the ability to direct people—including oneself—towards a particular objective that may require active orchestration is key.
- Versatility: given the scope of work, FAs should be able to jump from one topic to another with similar impact
- Organization, time management and autonomy: you are well-versed in missions requiring precision and reliability. You are able to manage a project from start to finish with minimal external assistance.
- Communicate effectively: given the number of Alaners that FAs interact with on a daily basis, the ability to communicate your specific needs (deadlines etc) and to inspire action in others is essential.
- Always looking for the extra-mile: as a FA, you will be expected to be able to deliver quickly and well on the tasks assigned to you, but also to be proactive in proposing new initiatives, going beyond the task assigned to you if you think it is necessary, as well as anticipating future needs to propose potential solutions?
- Growth mindset: you know how to ask for and receive feedback in order to grow as an FA in your early professional life.
- Fluency in spoken and written English. All our communications are written and in English.
- Technical aptitude: Familiarity and appetite for basic programming, experience with data analysis and/or product creation tools is a plus.
We welcome applications from candidates with diverse educational backgrounds, including but not limited to:
- Business schools (HEC, ESSEC, ESCP, LSE …)
- Engineering schools (Polytechnique, Mines Paris, Ecole des Ponts, CentraleSupelec, Imperial … )
- Data science or mathematics programs
- Other relevant fields or schools (Bocconi, Politecnico, TU Delft, UCL, Oxford, Cambridge)
Diplomas matter to an extent but if you don’t have one and have built a project or a company, we’d love to hear from you so please send your application!
🙌 PERKS & BENEFITS https://alan.com/about/life-at-alan/a/perks
At Alan, we believe that being in good health is a basic need, and it starts with our employees. This is why Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers.
THEREFORE, WE OFFER:
- All the tools you need. Top of the range equipment: Macbook Air, keyboard, laptop stand, monitor, and Bose noise-canceling headphones.
- Flexible vacation policy and flexible working hours. Organize your time as you wish.
- Transport. Generous transit benefit
- Learning & Training opportunities. A highly flexible Training policy free books and budget to attend and speak at conferences if the opportunity arises.
- Personal growth through coaching: At Alan, coaching isn't just a perk - it's core to who we are. Every Alaner is paired with a dedicated coach from day one, who helps maximize their impact, nurture engagement, and navigate Alan's values to develop their full potential. Learn more about our coaching culture https://alan.com/en/blog/discover-alan/a/alan-culture-excellence-through-coaching.
IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES.
If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply as it can only bring learnings or success.
If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements?
Remember, this is just a guide, not a checklist.
We'll be thrilled to receive your application!
🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info.
#LI-DNP
Location: Colombia; Ukraine; Poland; Brazil; Argentina; Georgia
Workplace: Remote
Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes.
Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively.
Solvd is looking for a highly skilled Data Engineer to help design and build modern data platforms that support large-scale risk and compliance initiatives for enterprise clients. In this role, you will architect and implement scalable data systems, real-time pipelines, and analytics capabilities that transform complex datasets into actionable insights.
You will partner with cross-functional teams—including data scientists, software engineers, and product stakeholders—to enable reliable, high-quality data solutions. This role requires strong technical depth in big data technologies, AWS services, and distributed systems, along with the ability to understand business needs and contribute to strategic decision-making.
WHAT YOU WILL DO
Data Architecture and Platform Development
- Design, build, and optimize scalable data infrastructure for risk and compliance workloads
- Develop batch and streaming pipelines using modern big data technologies
- Implement robust ETL and ELT workflows across diverse structured and unstructured data sources
Cloud Data Engineering
- Work extensively with AWS services including EMR, Redshift, S3, Glue, Lambda, Kinesis, and related data tools
- Build high-throughput, low-latency systems that support real-time or near-real-time decision making
Collaboration and Delivery
- Partner with data scientists, analysts, and engineering teams to deliver reliable and well-documented datasets
- Translate business requirements into technical specifications and scalable data solutions
- Mentor team members and contribute to best practices and reusable frameworks within Solvd
Automation and Continuous Improvement
- Streamline reporting, analytics, and data preparation processes
- Replace manual workflows with automated, repeatable systems
- Support ongoing performance tuning, monitoring, and platform optimization
BASIC QUALIFICATIONS
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or similar
- 3 or more years of hands-on experience in data engineering or related fields
- Strong proficiency in SQL and data modeling for analytics and warehousing
- Experience building ETL or ELT pipelines at scale
- Experience with big data technologies such as Hadoop, Hive, Spark, HBase, or EMR
- Knowledge of distributed systems and data storage principles
- Basic scripting skills in Python or Scala
- Familiarity with machine learning concepts
PREFERRED QUALIFICATIONS
- Experience with AWS data services such as Redshift, S3, Glue, EMR, Kinesis, Firehose, and Lambda
- Experience working with non-relational data stores such as document, key-value, column-family, or graph databases
- Experience collaborating with cross-functional risk, compliance, or analytics teams
- Strong understanding of data governance, quality, and security best practices
When you join Solvd, you'll…
- Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation.
- Be part of a global team with equal opportunities for collaboration across continents and cultures.
- Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards.
Ready to make an impact?
If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together.
Solvd is an equal opportunity employer.
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 team
The Hardware Automation team builds the internal platforms and tooling that power how Nebius operates its data center infrastructure at scale. Our mission is to eliminate manual effort, reduce human error, and give every team in the Hardware Infrastructure department real-time visibility and control over the systems they own.
We operate as a product engineering team embedded within hardware infrastructure — meaning we don't just write requirements and hand them off. We own the full stack: from requirements gathering with data center operations and hardware engineering, through design and build, all the way to rollout and ongoing reliability.
The Role
Nebius is looking for a Senior Software Engineer to join the Hardware Infrastructure Observability team. You're welcome to work from our office in Amsterdam. We build and run low-level monitoring for servers and data center engineering systems to ensure reliability at scale. We also design and operate maintenance and remediation systems that enable safe, predictable fleet-wide changes and keep the infrastructure healthy.
Key Responsibilities:
Design and develop services and agents that provide deep visibility into a large server fleet and DC engineering systems
Evolve our metrics/aggregation/alerting pipelines and improve signals quality
Build maintenance workflows and automation that keep fleets healthy
Investigate incidents hands-on (including on-host debugging) and drive root-cause fixes
Collaborate with hardware, networking, and DC operations to improve reliability
We expect you to have:
5+ years of professional software engineering experience
Excellent knowledge of Python and Golang or you are ready to quickly switch to these programming languages
Strong Linux fundamentals
Ability to write reliable code and and dig into complex problems
Working proficiency in English
We expect Engineers to:
Manage large-scale projects involving multiple stakeholders
Break down complex tasks and guide both their own work and that of more junior colleagues
Be experts in specific technologies and write high-quality code that can serve as a reference
Assess task priority and focus on high-impact work, avoiding low-value efforts
Have strong architectural thinking and contribute to system design
Be involved in hiring and actively contribute to interviews
Be willing to share knowledge and mentor others
It will be an added bonus if you have:
Solid understanding of modern server architecture, and its components
Experience with metrics/monitoring/alerting Prometheus-compatible stacks (like VictoriaMetrics)
Good knowledge of computer networks
Experience designing, developing, and running high-load distributed systems
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: CIS
Workplace: remote
ABOUT US
Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.
For more information, visit xsolla.com.
Responsibilities
Design, build, and maintain backend services and APIs using
PHP
and
Go
, ensuring scalability, reliability, and high performance.
Develop new microservices and enhance existing systems to support large-scale integrations and high-load payment flows.
Participate in
code reviews
and maintain high development standards through collaborative feedback and best practices.
Work closely with
engineering, product, and partner teams
to deliver high-quality solutions on schedule.
Contribute to
system monitoring
using tools such as
Grafana
,
Kibana
, and
ELK
to ensure stability and optimal performance.
Document technical specifications, system architecture, and new functionalities for transparency and maintainability.
Participate in
Kanban ceremonies
and maintain efficient communication with cross-functional teams.
Qualifications & Skills
Proven experience in backend development with strong proficiency in PHP and GoLang.
Solid understanding of object-oriented programming (OOP), software design patterns, and decomposition principles.
Experience with microservices architecture and scalable backend systems.
Strong knowledge of SQL and database design, including optimization for large datasets.
Familiarity with Postman, GitLab, console and other development tools.
Experience using monitoring and testing tools such as Grafana, Kibana, DataDog and ELK.
Ability to work independently on complex technical tasks and deliver high-quality results within deadlines.
Strong communication skills and ability to collaborate effectively with cross-functional teams.
Nice to Have
Experience with high-load systems and event-driven architectures.
Familiarity with CI/CD tools (GitLab CI).
Background in frontend development or working with single-page applications (SPAs).
Hands-on experience using AI-powered development tools to enhance productivity.
The duties and responsibilities of this position may evolve over time to support the organization’s goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required. By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially. Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws, Xsolla is committed to protecting your personal information and respecting your privacy.
For any inquiries related to data privacy, please contact: careers@xsolla.com
Explore more opportunities at: https://xsolla.com/careers
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
You'll drive cross-functional execution of Anthropic's data center programs from construction through commissioning and day-to-day operations. Partnering with our Data Center and Compute teams, you'll own the program management that delivers buildings on time ready for production workloads. As we scale beyond our first sites, you'll focus on accelerating construction and deployment, building repeatable playbooks, and driving continuous improvement across our growing footprint.
Responsibilities:
Manage and develop the DC infrastructure TPM team; hire and build out the function as we scale
Lead program reviews and executive communications on delivery status, risks, and blockers
Drive construction-to-production execution across multiple sites, coordinating with partners, contractors, and internal teams
Own overall schedule tracking, risk identification, and mitigation; creating clear visibility for leadership
Align with energy and location strategy and support site selection and due diligence criteria to facilitate scaling well in advance of aggressive compute demand
Manage long pole dependencies and long-lead time development & procurement across a dynamically changing global marketplace
Partner with DC and Compute teams to drive handover criteria between site completion, equipment deployment, and operations
Coordinate with Infrastructure, Security, and Compliance teams on evolving requirements; versioning, optimization, and expansion across sites
Drive partner accountability on contractual milestones and commercial commitments
Coordinate equipment delivery and manage vendor accountability on schedules; tracking production and shipping milestones while maintaining productive partnerships
Build repeatable processes and playbooks that scale across multiple concurrent site deployments
Travel (20%) to sites to validate progress and build contractor relationships
You may be a good fit if you:
Have 7+ years in data center construction, operations, or infrastructure program management at hyperscale or critical infrastructure companies
Have management experience building and leading TPM or program management teams
Have led multi-site infrastructure programs with compressed timelines and complex cross-functional dependencies among multiple partners and vendors
Excel at aligning multiple partners, vendors, and internal engineering teams around shared deliverables
Can bridge physical infrastructure and software/security teams
Thrive in ambiguity and make decisions with incomplete information under schedule pressure
Communicate complex program status clearly to executives
Deadline to apply:
None applications will be received 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:
$365,000
—
$435,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Dhahran, Saudi Arabia; Dammam, Saudi Arabia; Al Khobar, Saudi Arabia
Eram Talent is on the lookout for a highly skilled Mechanical Engineering - Sr. Maintenance Engineer to join our team in the Oil & Gas industry. This pivotal role involves leading the maintenance efforts of mechanical systems and ensuring optimal performance across facilities. The Sr. Maintenance Engineer will be instrumental in developing and executing maintenance strategies that enhance operational efficiency and reliability.
Experience:
6+ years
Gender:
M/F
Education:
Mechanical Engineering
Key Responsibilities
Review technical specifications for CNC machines, furnaces, air compressors, and related equipment.
Review Non-Material Requirements (NMR) and verify materials and Material Take-Offs (MTO) for all equipment.
Coordinate and monitor installation activities and utilities requirements per OEM recommendations.
Verify the accuracy and completion of equipment installation and commissioning.
Provide technical support throughout project development and execution.
Requirements
Bachelor’s degree in
Mechanical Engineering
.
6+ years of experience
in manufacturing facility projects or related roles.
Strong understanding of equipment specifications, installation, and commissioning.
Experience reviewing technical documents and coordinating with OEMs.
Benefits
Salary is not a constraint ,company is looking for right candidate .
seniorDhahran, Saudi Arabia; Dammam, Saudi Arabia; Al Khobar, Saudi Arabia
Location: Al Khobar, Saudi Arabia; Dammam, Saudi Arabia; Dhahran, Saudi Arabia
Eram Talent is seeking a highly skilled and experienced Civil Engineering - Sr. Maintenance Engineer to join our team. This role involves the responsibility of managing and overseeing maintenance activities for civil engineering projects, ensuring that all systems operate efficiently and effectively in compliance with industry standards. As part of our commitment to excellence in the Oil & Energy sector, you will play a vital role in optimizing our maintenance processes and enhancing the operational reliability of our projects.
Experience:
6+ years
Gender:
M/F
Industry Experience required:
oil/gas, hydrocarbon, refinery, offshore, or infrastructure
Job Summary
Responsible for planning, coordinating, and executing maintenance activities while ensuring project schedules and milestones are achieved. Supports large-to-mega projects with strong planning, scheduling, and technical expertise.
Key Responsibilities
Develop and manage preventive and corrective maintenance plans.
Prepare and monitor project schedules using
Primavera (P6)
.
Track progress, identify delays, and prepare recovery plans.
Ensure compliance with safety and quality standards.
Coordinate with engineering, operations, and contractor teams.
Present schedule updates and maintenance reports to management.
Qualifications
Bachelor’s degree in
Civil Engineering
.
Strong knowledge of project planning and scheduling practices.
Proficient in
Primavera (P6)
.
Experience
6+ years in maintenance engineering.
Experience in
oil/gas, hydrocarbon, refinery, offshore, or infrastructure
projects.
Background in scheduling and planning for large-to-mega projects.
Benefits
Salary is not a constraint ,company is looking for right candidate .
seniorAl Khobar, Saudi Arabia; Dammam, Saudi Arabia; Dhahran, Saudi Arabia
Location: Toronto; London; New York; Paris; Montreal
Workplace: Remote
WHO ARE WE?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
Role Overview:
As a Senior Machine Learning Engineer specializing in synthetic data, you will play a pivotal role in developing the synthetic data pipeline that is crucial to Cohere’s advanced language models. Your responsibilities will encompass the end-to-end management of synthetic data, including maintaining and optimizing the synthetic data pipeline, data analysis and generation, as well as conducting data ablations and model evaluation to gauge data quality. You will work with diverse web data and code data and transform them using generative models to improve token efficiency and model quality. By combining research and engineering, you will bridge the gap between raw data and cutting-edge AI models, directly contributing to improvements in critical training metrics like throughput and accelerator utilization.
Your work will be essential to Cohere’s mission of delivering efficient and reliable language understanding and generation capabilities, driving innovation in natural language processing. If you are passionate about transforming data into the foundation of AI systems, this role offers a unique opportunity to make a meaningful impact.
Note: We have offices in London, Toronto, New York and San Francisco, but we’re also remote-friendly! This team operates primarily between ET to CET time zones, so we’re seeking candidates in locations that align with these hours for effective collaboration.
Key Responsibilities:
- Design and build scalable inference pipelines that run on large GPU clusters.
- Conduct data ablations to assess data quality and experiment with data mixtures to enhance model performance.
- Research and implement innovative synthetic data curation methods, leveraging Cohere’s infrastructure to drive advancements in natural language processing.
- Collaborate with cross-functional teams, including researchers and engineers, to ensure data pipelines meet the demands of cutting-edge language models.
Qualifications:
- Strong software engineering skills, with proficiency in Python and experience building data pipelines.
- Familiarity with data processing frameworks such as Apache Spark, Apache Beam, Pandas, or similar tools.
- Experience working with LLMs through work projects, open-source contributions or personal experimentation.
- Familiarity with LLM inference frameworks such as vLLM and TensorRT.
- Experience working with large-scale datasets, including web data, code data, and multilingual corpora.
- A passion for bridging research and engineering to solve complex data-related challenges in AI model training.
Bonus: paper at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP).
Working Location:
This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role.
FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS:
- A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
- Full health and dental benefits, including a separate budget for mental health.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top-up for up to 6 months, for either parent.
- Annual enrichment benefits:
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
Education & learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days!)
- Budget for traveling to other offices if you are remote, plus an annual company offsite.
HOW AND WHERE WE WORK:
- Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
- For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
- For those not near an office: a co-working benefit so you can work alongside others in your city.
- Everyone receives a $500 home office stipend to set up your workspace properly.
If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.
We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.
We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
Location: Jeddah, Saudi Arabia; Makkah, Saudi Arabia; Rabigh, Saudi Arabia; Taif, Saudi Arabia
Eram Talent is seeking a skilled Communication Engineer to join our team in Saudi Arabia. In this role, you will play a crucial part in enhancing and maintaining communication systems within the oil and energy sectors. Your expertise will ensure reliable and efficient communication channels necessary for project operations and collaboration.
Your primary focus will be on designing, implementing, and troubleshooting communication networks and systems tailored to meet our project's specific needs, ensuring that they operate at optimum levels.
Responsibilities
Design and implement communication systems and networks, including both wired and wireless technology.
Conduct regular maintenance and troubleshooting of communication systems to ensure high availability.
Work closely with project teams to define communication requirements and develop innovative solutions.
Evaluate and recommend new technologies to enhance communication systems.
Document all communication systems and ensure compliance with relevant standards and regulations.
Support training for staff on communication tools and equipment usage.
Stay updated with the latest advancements in communication technology and apply best practices.
Requirements
Bachelor's degree in Telecommunications Engineering, Electrical Engineering, or a related field.
At least 3+ years of experience in communication engineering or a similar role.
Strong knowledge of communication protocols and technologies, including VoIP, LAN, WAN, and satellite communication.
Experience in designing and implementing RF, fiber optic, and data communication systems.
Excellent analytical skills and a strong problem-solving mindset.
Effective communication skills and the ability to work collaboratively in a team environment.
Fluency in English; knowledge of Arabic is a plus.
Benefits
Salary is not a constraint ,company is looking for right candidate .
Jeddah, Saudi Arabia; Makkah, Saudi Arabia; Rabigh, Saudi Arabia; Taif, Saudi Arabia
Location: Jeddah, Saudi Arabia; Makkah, Saudi Arabia; Rabigh, Saudi Arabia; Taif, Saudi Arabia
We are seeking a highly skilled
Chemical Engineer
to support process design, optimization, and technical operations within our oil and gas facilities. The ideal candidate will contribute to safe, reliable, and efficient production by applying advanced engineering principles to refining, petrochemical processing, or upstream production systems.
Responsibilities
Develop and update PFDs, P&IDs, and process simulations.
Optimize plant processes to improve production, energy use, and cost efficiency.
Troubleshoot operational issues and support daily plant activities.
Participate in HAZOP, PHA, and safety compliance activities.
Prepare technical specifications and support project engineering tasks.
Monitor key process parameters and provide performance reports.
Qualifications
Bachelor’s degree in Chemical Engineering (Master’s a plus).
3–7 years experience in oil & gas, refinery, or petrochemical plants.
Proficient in process simulation tools (Aspen HYSYS, Aspen Plus).
Strong knowledge of process safety and industry standards (API, ASME).
Good communication and problem-solving skills.
Benefits
Salary is not a constraint ,company is looking for right candidate .
Jeddah, Saudi Arabia; Makkah, Saudi Arabia; Rabigh, Saudi Arabia; Taif, Saudi Arabia
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
We are seeking a detail-oriented and experienced
Construction Project Manager
to lead the buildout and operational readiness of our cutting-edge data centers. In this role, you will oversee construction from design review through commissioning and handover, ensuring compliance with regulatory standards and performance expectations. You’ll collaborate closely with architects, contractors, and regulatory authorities while managing budgets, timelines, and vendor relationships. This position requires deep knowledge of data center infrastructure, exceptional project management skills, and a proactive mindset to drive operational excellence from the ground up.
This position will be based in the Southern Region of United States. Exact location TBD.
Your responsibilities will include:
1. Construction & Project Management
Oversee all phases of data center construction, from design review to commissioning and handover.
Collaborate with architects, MEP consultants, contractors, and vendors to ensure project specifications and timelines are met.
Review design drawings and technical submittals for compliance with company standards and operational requirements.
Manage change control, progress tracking, and budget adherence throughout the project lifecycle.
Participate in Factory Acceptance Tests (FAT) and Site Acceptance Tests (SAT) for key systems such as UPS, chillers, generators, and switchgear.
2. Coordination with Authorities & Compliance
Serve as the primary liaison with local authorities, utilities, and regulatory bodies.
Ensure all permits, licenses, and inspections (e.g., building, fire, electrical, environmental) are completed on schedule.
Maintain compliance with local codes, safety standards, and data center industry best practices (e.g., ISO, Uptime Institute, TIA-942).
Manage documentation and reporting for occupancy certification and operational approvals.
3. Operations Readiness & Handover
Lead commissioning activities, ensuring all systems (electrical, mechanical, BMS, security, etc.) are fully tested and validated.
Develop and implement standard operating procedures (SOPs) and emergency operating procedures (EOPs) for facility systems.
Train operations teams on site-specific systems, monitoring tools, and safety practices.
Ensure smooth transition from construction to operations with full documentation and warranty records.
4. Facility Management & Performance
After commissioning, oversee daily facility operations, preventive maintenance, and vendor management.
Monitor and optimize Power Usage Effectiveness (PUE) and energy efficiency.
Implement sustainability and reliability improvements, including capacity planning and infrastructure upgrades.
Ensure adherence to health, safety, and environmental (HSE) standards across all facility operations.
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 competitive salaries, ranging from $180,000 - $220,000 based on your experience
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: Amsterdam, Netherlands; The Hague, Netherlands; Utrecht, Netherlands
Turn your passion for luxury into a career opportunity. Explore the world of premium brands and make a lasting impact in fashion, beauty, jewelry, or automobiles.
About the Role:
As a luxury brand evaluator, you will step into the world of luxury to discreetly assess customer experiences, providing critical feedback that helps brands refine their services. Whether visiting boutiques, purchasing online, or returning a product, your voice shapes the future of luxury.
• Flexibility - each in-store visit takes approximately 20 minutes, giving you the flexibility to complete multiple assignments.
• Frequent opportunities - perform several missions per month and collaborate with some of the most prestigious brands worldwide.
What you will be doing:
1. Choose your assignments - align your missions with your personal preferences and profile.
2. Visit luxury stores or evaluate online - engage with sales associates in the stores or online from the comfort of your home.
3. Observe carefully - check the ambiance, service quality, and overall customer experience.
4. Provide honest feedback - use our platform to share your observations through questionnaires.
Perks of the Role:
• Collaborate with iconic brands across industries.
• Flexible assignments tailored to your interests.
• Compensation for your time and input, with the potential for reimbursement on purchases.
• A user-friendly platform for managing missions and feedback.
How to Join the CXG Community:
1. Register: sign up at live.cxg.com and confirm your email.
2. Complete your profile: fill out your details to 100% and get verified.
3. Get certified: pass the General Certification to access missions.
4. Apply for missions: explore assignments with brands that excite you.
5. Start evaluating: begin making a difference in the luxury market.
Compensation:
• Non-Purchase Evaluations: Earn a fee based on mission complexity.
• Purchase-Based Evaluations: Reimbursement for approved items as stated in the mission brief.
About CXG
At CXG, we connect premium brands with over 80,000 evaluators across 70 countries. With 12 global offices and almost two decades of CX retail expertise, we’re committed to redefining the customer experience for luxury giants.
Join us and enjoy the flexibility of working on the go with our mobile platform, CXG Live. On this platform, you can seamlessly manage missions, certifications, and feedback.
Requirements
Must be 18 years of age or older.
Current customer of premium and luxury brands.
Not currently under contract with any retail brands, to ensure impartiality.
Punctual, organized, detail-oriented, and reliable.
Observant and passionate about customer experience.
No prior experience is required; we value honest feedback from genuine customers.
Location: Dublin, Ireland
Fin
, now part of Salesforce, is on a mission to help businesses provide perfect customer experiences.
Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system.
Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI.
Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce.
What's the opportunity?
Fin's AI Group is responsible for defining new ML products, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands.
We are extremely product-focussed. Our team of 50+ ML scientists, ML engineers, designers and researchers works in partnership with other teams across the whole company. We move to production fast, often shipping to beta in weeks after a successful offline test.
We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, novel applications of transformer neural networks and fine-tuned LLMs. We test and measure the real customer impact of everything we deploy.
We plan to double in size, and are on the lookout for an experienced manager to manage a team of highly-performing ML scientists. Engineering managers in Fin are not just people managers: they also have a track record of IC contributions, and can stay close to the work of their team. We won’t ask you to write code every day, but you should feel comfortable giving technical advice to your team and having a good deep grasp of what it should (or shouldn’t!) work on (and maybe even do an occasional code review or a PR).
What will I be doing?
Managing, mentoring and coaching a team of 10+ ML scientists, spread across our three offices in Dublin, London and Berlin.
Collaborating with ML, engineering, product, and design leaders to shape work of the team and the impact it has on our products.
Enabling your team to achieve high levels of productivity, performance and reliability.
Expanding the team and promoting its brand both internally and externally (recruitment, event planning, etc.).
What skills might I need?
Experience leading, developing and supporting ML teams that deliver impact quickly.
A 5+ year track record of your own individual contributions in ML, AI, NLP, or data-related field.
Excellent applied ML and coding skills.
The ability to thrive in an ambiguous environment with a high degree of autonomy.
Strong communication skills, both within technical teams and across disciplines.
MSc or PhD in an ML-related field, or similar knowledge.
Bonus skills & attributes
Track record shipping ML user-facing products.
Experience in a research environment.
Deep experience in an applicable ML area - e.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering.
Data skills: visualization, SQL etc.
Deep knowledge of software engineering practices.
Experience in recruiting ML scientists in a capacity similar to a hiring manager.
Unleash Your Potential
When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at
fin.ai/careers
. Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
Policies
Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.
We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our
core values
.
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination.
Know your rights: workplace discrimination is illegal.
Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
Location: Dublin, Ireland
Fin
, now part of Salesforce, is on a mission to help businesses provide perfect customer experiences.
Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system.
Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI.
Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce.
What's the opportunity?
We're building a new function at Fin: AI Product Management. For over a decade, Fin has invested in in-house AI, with a team of machine learning scientists, ML engineers, researchers, and AI designers. Now, we’re expanding this team with product managers who will define the future of Fin's AI platform and AI agent.
As a Staff AI Product Manager, you’ll shape the vision, strategy, and roadmap for core AI systems that power Fin and Fin's AI features. You’ll work at the intersection of advanced AI research, cutting-edge product development, and real customer problems, helping us build world-class AI products that deliver meaningful business impact.
This is a high-ownership role for a technical, customer-obsessed PM who thrives in fast-moving, ambiguous environments and loves turning complex AI capabilities into simple, delightful product experiences.
What will I be doing?
Lead a major part of our AI product surface. You’ll own an important area of Fin's AI platform or AI agent and be accountable for its vision, strategy, and impact.
Deeply understand customers, the business, and the technology. You’ll learn the space inside out: what customers need, where the business is going, and how our AI systems work. You’ll use this understanding to make high-quality decisions and build a compelling roadmap.
Work side-by-side with a world-class AI team. You’ll collaborate every day with ML scientists, ML engineers, AI designers, and ML researchers. Together you’ll explore new ideas, assess feasibility, evaluate trade-offs, and turn advanced AI capabilities into high-value product experiences.
Ship ambitious, high-quality AI product. You’ll take AI concepts from early exploration through to production launches. You’ll run fast experiments, define success metrics, evaluate performance, and iterate until the experiences are both effective and delightful.
Collaborate across the company. You’ll work closely with our core product org to integrate AI across the Fin platform, and partner with GTM, marketing, support, and operations to drive adoption and customer impact.
Lead through clarity, ownership, and momentum. You’ll bring teams together, communicate decisions clearly, create alignment, and consistently push toward impactful outcomes.
What skills do I need?
Strong AI and technical fluency. You’ve built or worked deeply with AI/ML products, ideally including generative AI. You can discuss model behaviour, evaluation, prompts, architectures, constraints, and trade-offs with technical partners. You’re comfortable working autonomously in complex technical spaces.
Excellent product judgment. You balance customer needs, business goals, and technical realities. You know when to push for ambitious ideas and when to iterate quickly. You can turn new or ambiguous AI capabilities into clear, valuable product experiences.
Sharp problem framing and customer insight. You can independently understand and articulate complex problems using research, data, and direct customer conversations. You translate complexity into crisp problem statements for your team.
Ability to build world-class product. You collaborate deeply with engineering and design to ship high-quality software. You know how to test, measure, and iterate on AI systems and user-facing AI features. You care deeply about safety, reliability, and delivering customer value.
Strong communication and leadership. You influence widely, bring structure to ambiguity, and create momentum. You communicate clearly and frequently, keeping partners aligned and engaged. You take ownership and raise the bar for the team around you.
Why you'll love it here
You’ll work with an experienced AI team that has been shipping AI long before it was mainstream.
You’ll have real autonomy, real impact, and real responsibility.
You’ll help build the next generation of customer service through the power of AI.
You’ll help shape the future of AI PM craft at Fin.
Unleash Your Potential
When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at
fin.ai/careers
. Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
Policies
Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.
We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our
core values
.
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination.
Know your rights: workplace discrimination is illegal.
Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
Location: Home based - Worldwide
This is an opportunity to run a field engineering team, helping customers understand and implement Canonical's open source solutions in public clouds and in their own data centers. We work across the entire spectrum of cloud offerings, from Ubuntu itself to virtualisation and private cloud, Kubernetes, and the implementation of sophisticated open source solutions such as MLops platforms, data platforms and more. We are rapidly expanding the range of open source solutions we offer and deliver to customers, as we move into new industries like telco, finance, health care and media we design and develop new open source solutions to meet their needs.
We believe that Engineering Managers should be outstanding engineers themselves. They should feel completely at home troubleshooting technical issues and having technical presales conversations with customers. They should contribute to project delivery themselves, but know that the technical contributions they bring are far less significant than their ability to shape the whole team’s direction, focus and delivery. We grow management skills and train engineers, who are interested in soft skills, to be managers.
We believe that open source is just starting to transform the tech sector and enterprise compute. Our goal is to make open source easier, more reliable and more secure for deployment and development. We strive to be the provider of ‘most software to most companies’. To deliver on that ambition, our engineers are carefully selected from the applicants across the globe. We select for brilliance and motivation to take open source to the next level. Our engineering managers help teams achieve more than they realised they could, and feel proud of the result.
The role of a Cloud Field Engineering Manager at Canonical
The Field Engineering team is our team of cloud solutions architects at Canonical, working directly with our customers, designing private and public cloud solutions fitting their workload needs. The portfolio of products includes on-premise cloud solutions such as Openstack, MicroCloud and Ceph, and solutions that could be deployed either on-premises or in public clouds such as Kubernetes, Kubeflow, Spark, PostgreSQL, etc. The team works hands-on with the technologies by deploying, testing and handing over the solution to our support or managed services team at the end of a project. Managers and team members also take part in presales conversations to provide technical advice during the sales process.
A Cloud Field Engineering Manager is responsible for line management and career guidance. The ability to develop engineering talent, to represent your team from a technical perspective, and to drive collaboration with other teams and customers are all critical to success in this role. You are also expected to actively participate in technical presales to help our department achieve our quarterly goals.
Location:
This role will be home based, managing a team in your time zone.
What your day will look like
Lead and develop a team of Field engineers, ranging from graduate to senior, in the areas of Presales and Professional Services
Solve customer problems by promoting our technologies and being a trusted advisor
Work remotely in a single major time zone
Coach, mentor, and offer career development feedback
Identify and measure team health indicators
Implement disciplined engineering processes
Represent your team and product to stakeholders, partners, and customers
Develop and evangelise great engineering and organisational practices
Plan and manage progress on agreed goals and projects
Be an active part of the leadership team, collaborating with other leaders
What we are looking for in you
Knowledge of cloud computing concepts & technologies, such as Kubernetes, Openstack, AWS, GCP, Azure, Ceph, etc.
Practical knowledge of Linux and networking
Experience in technical presales
You are a dynamic person who loves to jump in new projects and interact with people
Excellent verbal and written communication skills in English
Passion and a track record of developing and growing people
Experience in leading, coaching and mentoring engineers
Organised and able to ensure your team delivers timely, high quality results
An exceptional academic track record from high school and, preferably, university as well
Willingness to travel up to 25% of the time. Field Engineers attend internal company events, external tech events and customer meetings.
Additional skills that you might also bring
Second language - Spanish or French preferred
Python knowledge
Experience collaborating with external partners
Experience collaborating with several internal teams and providing stakeholder feedback for engineering roadmaps
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 recognise 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
40 days annual leave per annum, including public holidays and our All Company holiday periods
Maternity and paternity leave
Employee Assistance Programme
Opportunity to travel to new locations to meet colleagues from your team and others
Priority Pass for travel and travel upgrades for long haul company events
About Canonical
Canonical is a pioneering tech firm that is 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. Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business.
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: United States
Workplace: Remote
ClickHouse is expanding its cloud data platform across AWS, GCP, and Azure—adding new capabilities that connect and extend Postgres and ClickHouse for modern data workloads. We’re hiring a Senior SRE / Senior Infrastructure Engineer to own reliability, automation, and operations as these services scale globally.
You’ll be at the center of how we run and evolve our next-generation data platform—building the automation, observability, and operational rigor that ensure a fast, secure, and dependable customer experience. This is a hands-on, high-impact role where you’ll write code, shape architecture, and enable the broader engineering team to deliver with confidence and velocity.
WHAT YOU’LL DO
- Lead reliability and operations for ClickHouse’s Postgres integration — upgrades, patching, maintenance, and scaling.
- Design and implement automation for provisioning, deployments, and service lifecycle management across AWS, GCP, and Azure.
- Develop infrastructure-as-code using Terraform and modern CI/CD tooling to ensure consistent, repeatable deployments.
- Contribute Go-based tooling and services that improve automation, observability, and developer experience.
- Own observability and monitoring, ensuring robust alerting, metrics, and tracing across environments.
- Drive incident management and postmortem practices that strengthen reliability and learning loops.
- Collaborate cross-functionally with platform, networking, and product teams to improve service operability.
- Mentor and enable engineers, helping the team scale effectively as customer adoption grows.
ABOUT YOU
- Experience: 7+ years in SRE, DevOps, or infrastructure engineering, with a track record of running distributed, production-grade systems.
- Database Operations: Solid understanding of Postgres operations, scaling, and performance tuning.
- Cloud Expertise: Deep hands-on experience across AWS, with exposure to GCP and Azure; comfortable navigating multi-cloud topologies.
- Automation Skills: Proficient with Terraform, Kubernetes, and container-based infrastructure.
- Programming: Strong Go development skills (or willingness to write and own production Go code).
- Observability: Familiar with tools like Prometheus, Grafana, Loki, OpenTelemetry, or equivalents.
- Reliability Focus: Deep understanding of SLOs, incident response, and continuous improvement in service reliability.
- Mindset: You operate with a founder’s mentality — hands-on, resourceful, and willing to dive deep to get things done. You take pride in hard work, autonomy, and shipping impactful systems.
WHY JOIN US
- Build and operate the foundation for ClickHouse’s Postgres integration / extension, spanning multiple CSPs.
- Work on a small, elite team where ownership, reliability, and speed are core values.
- Shape the operational practices and automation that will define how ClickHouse runs databases in the cloud.
- Write production code, influence architecture, and mentor others — all while scaling a high-impact platform from the ground up.
- Be part of a company redefining performance, simplicity, and developer experience in data infrastructure.
#LI-remote
PERKS
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new team member who joins our company receives stock options.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A USD$500 Home office setup if you’re a remote employee.
- Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
CULTURE - WE ALL SHAPE IT
As part of a rapidly scaling start-up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse.
EQUAL OPPORTUNITY & PRIVACY
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.
