Location: Paris, France
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.
We give you the opportunity to work with cutting-edge technologies in data operations, cloud computing and infrastructure management. As global data center operations grow, there will be ample opportunities for career progression. Working in the data center directly impacts performance, customer satisfaction and efficiency, with the opportunity to contribute to new data center projects.You’ll collaborate with experts in AI data center development and operations, gaining insights from leaders in the field. This environment fosters innovation, and allows you to work on solutions that exceed industry standards in design and deployment.
The role
We are looking for a
Technical Project Manager
to join our team and manage different projects and changes in data center. You will work with modern GPU clusters, responsible for execution of projects around IT infrastructure and equipment: GPU servers, high-speed network, compute and storage systems. Acting as a key link between the stakeholders, project and technical teams, you will drive operational activities across your responsibility area.
Your responsibilities will include:
Management and delivery of IT infrastructure projects, change requests in data centers
Proactively identify and manage resolution of technical and operational issues
Managing risks and dependencies in live environments
Maintain clear operational documentation, including plans, risk logs, and issue trackers.
Lead communication with all stakeholders: provide regular progress updates, escalate blockers, and manage expectations.
Lead meetings and technical discussions with a focus on decision-making, clear next steps, and timely execution.
Collaborate with cross-functional teams.
Engage directly with data center engineers, vendors, and operations teams.
Participate in related project tasks, including automation, process improvements, and design support as needed.
We expect you to have:
Proven experience in data center infrastructure operations, preferably in high-performance or AI-oriented environments.
Solid understanding of data center design and operations: racking, cabling, power planning, cooling considerations.
Hands on experience working with IT hardware in data centers.
Be comfortable in data center environments and during live operations.
Experience in project delivery, team management, cross team collaboration
Strong problem-solving skills; ability to troubleshoot technical and workflow issues in an IT stack.
Ability to document processes, maintain tracking systems, and produce clear deployment reports.
Activity, responsibility and purposefulness
Ready for occasional business trips
It will be an added bonus if you have:
Familiarity with structured project management or delivery frameworks (e.g., PRINCE2, PMI, Agile)
Relevant technical certifications
In depth technical knowledge of GPU servers, compute nodes, high-speed networking
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: Tel Aviv, Israel
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
As a Senior Technical Program Manager, you will own the end-to-end delivery of GPU clusters and other critical IT infrastructure components that power next-generation AI workloads. In this high-impact role, you’ll coordinate engineering, networking, construction, and operations teams to deliver GPU clusters and critical IT infrastructure at hyperscale. You’ll work closely with infrastructure leadership to define strategy, manage risk, and ensure on-time, high-quality launches.You’ll play a key role in scaling our global infrastructure footprint across the EU markets.
Travel: This position may require on-site presence at data centers during key deployment phases.
Your responsibilities will include:
Lead end-to-end delivery of new data center programs, from design through handover to operations.
Define and manage scope, schedule, and risks, maintaining focus on critical paths and proactive issue resolution.
Translate business and technical requirements into actionable project plans and measurable deliverables.
Oversee vendor and contractor execution, ensuring quality, budget, and schedule.
Provide structured program reporting, including dashboards, documentation, and executive updates.
We expect you to have:
7+ years of experience in technical program or project management, with direct involvement in large-scale IT infrastructure deployments.
Solid technical background in relevant domains, with the ability to engage deeply in technical discussions and challenge solutions where needed.
Proven ability to stay focused on critical paths and drive results in fast-paced, changing environments.
Communication and stakeholder management skills; able to translate complex topics clearly.
Leadership by influence and example in cross-functional or matrixed teams.
Proficient with modern project management tools and methodologies (e.g., Jira, Asana, hybrid Agile/Waterfall).
It will be
an added bonus
if you have:
Understanding of construction projects structure and key risk factors in facility build-outs.
Knowledge of HPC
Experience in business processes design or automation tools development.
PMP, PRINCE2, or similar industry certifications.
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: Foster City, CA
Workplace: Hybrid
Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation.
ABOUT THE ROLE
Join our Enterprise Platform team and build the infrastructure foundations that enable the world's largest organizations to run Replit within their security and compliance boundaries. As a Software Engineer on this team, you'll design and implement the deployment flexibility, networking capabilities, authorization systems, and data controls that enterprises require, from single-tenant architectures and private connectivity to custom policy enforcement and customer-managed encryption.
You'll work at the intersection of cloud infrastructure and enterprise requirements, partnering with Platform Engineering, Security, and Sales to ship capabilities that unlock adoption at demanding organizations.
WHAT YOU'LL DO
- Build enterprise deployment infrastructure: Design and implement single-tenant and dedicated deployment options, enabling customers to run Replit with the isolation guarantees their security posture requires.
- Implement private networking capabilities: Build VPC peering, private connectivity, and static IP configurations that allow enterprises to integrate Replit into their existing network architectures.
- Design authorization services: Build the authorization infrastructure that enforces custom enterprise policies; enabling fine-grained access controls, custom permission models, and policy enforcement that integrates with customers' existing identity and governance systems.
- Ship data protection features: Implement bring-your-own-key (BYOK) encryption, customer-managed keys, and data residency controls that give enterprises ownership over their most sensitive data.
- Develop infrastructure automation: Write Terraform modules and automation that enable reliable, repeatable enterprise deployments across regions and configurations.
- Debug and harden systems: Dive deep into complex infrastructure problems spanning networking, authorization, Kubernetes, and cloud services to make our enterprise platform more robust and diagnosable.
- Partner with go-to-market teams: Collaborate with Sales and Customer Success to understand enterprise infrastructure requirements, scope technical solutions, and unblock deployments.
- Contribute to technical strategy: Help define SLAs/SLOs for enterprise infrastructure reliability; participate in build-vs-buy decisions for complex infrastructure capabilities.
REQUIRED SKILLS AND EXPERIENCE
- 4+ years of experience in Infrastructure Engineering, Platform Engineering, or similar roles.
- Strong programming skills in Go, Typescript or Python; you write high-quality, well-tested code.
- Experience with Kubernetes and cloud-native technologies in production environments.
- Solid understanding of cloud networking: VPCs, peering, private connectivity, load balancers, DNS.
- Experience with infrastructure as code (Terraform) and configuration management.
- Familiarity with authentication and authorization systems: OAuth/OIDC, RBAC/ABAC models, policy enforcement.
- Familiarity with security and encryption fundamentals: TLS, encryption at rest, key management concepts.
- Strong debugging skills with an ability to trace issues across distributed systems.
- Excellent written communication; you can explain technical tradeoffs clearly to both engineers and non-technical stakeholders.
NICE TO HAVE
- Experience with Google Cloud Platform (GCP) services, networking, and IAM.
- Experience building multi-tenant or single-tenant SaaS infrastructure.
- Familiarity with enterprise compliance frameworks (SOC 2, FedRAMP, HIPAA) and how they translate to infrastructure requirements.
- Experience with customer-managed encryption keys (CMEK/BYOK) implementations.
- Background in developer platforms, cloud IDEs, or developer productivity products.
This is a full-time role that can be held from our Foster City, CA office. The role has an in-office requirement of Monday, Wednesday, and Friday.
Full-Time Employee Benefits Include:
💰 Competitive Salary & Equity
💹 401(k) Program with a 4% match (US Only)
⚕️ Health, Dental, Vision and Life Insurance
🩼 Short Term and Long Term Disability
🚼 Paid Parental, Medical, Caregiver Leave
🏝 Flexible Time Off (FTO) + Holidays
🚗 Commuter Benefits (In-Office & US Only)
📱 Monthly Wellness Stipend
🧑💻 Autonomous Work Environment
🖥 In Office Set-Up Reimbursement (In-Office Only)
🚀 Quarterly Team Gatherings
☕ In Office Amenities (In-Office Only)
Want to learn more about what we are up to?
- Self-driving Company https://replit.com/blog/self-driving-company
- Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale
- AI Adoption https://replit.com/blog/ai-adoption
- Build Open-Source Apps https://replit.com/build/open-source-app-builder
Interviewing + Culture at Replit
- Operating Principles https://blog.replit.com/operating-principles
- Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit
To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.
Location: Remote - 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
Nebius is looking for a Site Reliability Engineer in Hardware Infrastructure team. This is a remote position for the United States.
Hardware Infrastructure team designs, develops and supports systems involved in the data-centers lifecycle:
Serving functional and load testing system.
Monitoring of engineering equipment located in our data centers (power supply, air and water cooling, etc.)
Monitoring of IT equipment: racks, servers, JBODs, JBOGs, power shelves, network devices, etc.
Asset tracking.
Hardware repairs tasks tracking.
Server production.
In this position, your responsibility will be to
:
Ensure fault-tolerance, scale and uninterrupted operations for our services.
Use cutting-edge technology to solve a variety of infrastructure problems.
Implement and improve CI/CD processes.
We expect you to have
:
Proficiency in Linux systems, with expertise in Python and Bash scripting for automation.
Demonstrated ability to troubleshoot complex system issues, including hardware, software and networking problems.
Strong analytical and problem-solving skills, with a focus on optimizing system performance.
Working proficiency in English.
It would be an added bonus if you had
:
Desire to be involved in backend development.
Experience designing, developing and running high-load distributed systems.
Working conditions:
Primarily remote
Occasional travel to data centers required, especially if not located near one
Collaboration with globally distributed engineering and operations teams
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 $130k- $180k base + quarterly performance bonuses.
Join Nebius and help operate the systems that power next-generation AI
infrastructure.
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: London
Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology- and data-driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high-quality returns for our investors.
As an Infrastructure Project Manager, you will join the IT Infrastructure team responsible for driving the evolution of QRT's next generation systems infrastructure. You will be accountable for the end-to-end delivery of multiple concurrent infrastructure projects that support our expanding global trading footprint, partnering closely with Compute, Network Engineering, Data Centre Operations, vendors and financial exchanges.
Working across both trading and enterprise infrastructure initiatives, you will help deliver resilient, high-performance platforms in a fast-paced, collaborative environment while supporting QRT's continued growth.
Your Future Role within QRT
You will:
Lead projects from initial engagement with requestors, translating business requirements into technical solutions, then implementing end-to-end delivery.
Plan and manage end-to-end infrastructure delivery of new trading sites in colocation at proximity venues through effective project/task management and resource planning.
Assist the networking team in gathering requirements and coordinating with vendors, brokers and exchanges for new connectivity/access to markets.
Manage infrastructure provisioning and deployment across colocation and regional data centres, ensuring performance and scalability.
Assist QRT infrastructure team in managing allocation of compute resources across all QRTs colocations and datacentres.
Build up working knowledge of QRT’s business and technology stack.
Ensure project stakeholders are kept up to date on status / timelines / project blockers using the Atlassian JIRA system.
Ensuring infrastructure projects are delivered on time and to the highest quality.
Your present skillset
At least 5 years’ experience delivering electronic trading infrastructure implementations.
Previous experience of the financial technology industry is a must.
Knowledge of trading colocation environments is a must.
Strong knowledge of trading infrastructure (Linux, Networking).
Good working knowledge of exchange connectivity (market data/order entry).
Effective project management skills and practices.
An analytical thinker with excellent problem-solving abilities.
A self-starter with excellent communication & collaboration skills.
QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.
Location: Limassol, Cyprus; Tbilisi, Georgia
Workplace: none
TradingView is the world’s largest financial analysis platform with more than 100M users across 180+ countries.
We build tools that help traders and investors make informed decisions — from advanced charting and market data to collaboration and publishing features. Our products are used daily by millions of individuals and trusted by companies like Revolut, Binance, and CME Group.
We’re continuing to grow and scale our platform, and we’re looking for people who care about product quality, take ownership of their work, and want to build systems used by a global audience.
About the team
DevOps teams include five areas — Cloud (AWS), Frontend DevOps, Backend DevOps, Core DevOps, and Kubernetes DevOps. We provide a stable, secure, and scalable infrastructure that powers all TradingView services, and we also support the tools and processes that accelerate product development and releases.
Responsibilities
Rapid identification and resolution of infrastructure issues, ensuring stable system operation.
Deployment, configuration, and launch of new services and applications.
Design, implementation, and maintenance of CD pipelines to automate deployments.
Working with monitoring and logging tools to improve system reliability.
Collaboration with the development team to optimize deployment processes and infrastructure.
What makes you the perfect fit
Strong hands-on experience with
Kubernetes
.
Experience with
AWS
and a solid understanding of cloud infrastructure.
Knowledge of
Terraform
for describing and automating infrastructure as code.
Hands-on experience with
Ansible
for configuration automation.
Strong
Linux
skills and system administration experience.
Experience with
Docker
and application containerization.
Proficiency in
Bash
for scripting and task automation.
Knowledge of
Python
for writing utilities and automating processes.
Will be a plus
Multi-cluster or fleet management solutions
Experience working with Jenkins
Bare-metal Kubernetes
What we offer you
Flexible working hours and a hybrid work format
Well-equipped offices for focused and collaborative work
A global, distributed team of 500+ professionals
Learning, mentorship, and long-term career growth
Relocation support and private health insurance
Performance-based bonuses
TradingView Premium access
Regular team events and company-wide meetups
Join the TradingView team and help us build a product used by millions of traders and investors worldwide. We look forward to hearing from you!
TradingView is an equal opportunity employer. We embrace diversity and are dedicated to fostering a diverse and inclusive workplace. Our success is driven by 600+ professionals from 40+ countries who speak nearly 20 languages.
Location: Berlin, Germany
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us!
We are looking for a Enterprise Account Executive who will play a critical role driving sales and maximizing expansion opportunities with a defined list of Enterprise customers. You will be responsible for targeting, building and nurturing positive relationships with key C-level decision-makers, understanding complex business needs, and delivering innovative solutions across our product suite. This is an opportunity to accelerate your career, learn from leading sellers in the industry and build an incredible network of cross functional partners throughout Figma.
This is a full time role that can be held from Berlin hub or remotely in Germany.
What you'll do at Figma:
Manage a defined list of named enterprise accounts to consistently meet or exceed quarterly and annual sales targets
Apply effective discovery and value-selling techniques to build and strengthen C-level relationships for every account in your book
Align with executives on business challenges and gain sponsorship for enterprise wide deployments for a suite of products, identifying where Figma’s roadmap and innovations fit in the long term
Conduct thorough analysis to create strategic account plans that outline company priorities and initiatives, multi-threading at at senior level to build on expansion opportunities
Co-create with cross-functional partners to expertly position Figma, drive deals forward and ensure customer success
Leverage opportunities to advance executive level relationships through in-person meetings and networking opportunities
We'd love to hear from you if you have:
Experience closing sales, over multiple years, for a software or SaaS business with the Enterprise customers (5000+ FTEs), selling to executives
Consistent performance meeting pipeline generation targets for net new business
Demonstrated experience successfully managing complex sales cycles (9 months+)
Proficiency in a sales methodology and process that creates value for customers
Fluency in German
While it’s not required, it’s an added plus if you also have:
Experience selling solutions to technical audiences at the highest level in Engineering, Product and Design teams
Demonstrated ability to succeed in a changing environment
Certified in deal qualification and prospect discovery
At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an
equal opportunity workplace
- we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status
,
or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to
accommodations-ext@figma.com
. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities.
Examples of accommodations include but are not limited to:
Holding interviews in an accessible location
Enabling closed captioning on video conferencing
Ensuring all written communication be compatible with screen readers
Changing the mode or format of interviews
To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding.
By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with
Figma's Candidate Privacy Notice
.
Application limits:
To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles:
Candidates may submit up to 5 applications during any rolling 30-day period.
Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection.
Once the applicable days has passed, candidates are welcome to apply again.
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 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 Staff Software Engineer in Hardware Infrastructure team.
Hardware Infrastructure team designs, develops and supports systems involved in the data center lifecycle.
Your responsibilities will include:
Design and develop services that automate work with a large server fleet
We expect you to have:
5+ years of professional software engineering experience
Excellent knowledge of Python or Golang, or you are ready to quickly switch to these programming languages
Ability to write reliable code and dig into complex problems
Strong interest in being engaged in DevOps processes
It will be an added bonus if you have:
Solid understanding of modern server architecture and its components
Good knowledge of computer networks
Experience designing, developing and running high-load distributed syste
Experience with cloud platforms or infrastructure-level systems
Knowledge of Kubernetes, containers, or service meshes
Background in performance optimization or low-latency systems
Familiarity with observability tools (metrics, logging, tracing)
We expect Staff 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
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.
Join Nebius Today!
Pay Transparency
We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law.
Base Compensation Range
$175,000
—
$225,000 USD
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: Remote - 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
Nebius operates large-scale, mission-critical bare-metal infrastructure. As a Software Engineer (Python), you will design and build systems that provision, configure, test, and manage physical hardware at scale. Your work will sit close to the metal—interfacing directly with servers, networks, and management controllers—while supporting highly automated, reliable infrastructure operations.
You will collaborate closely with hardware, networking, and data center operations teams to ensure our platforms are robust, scalable, and production ready.
Your responsibilities will include:
Design and develop backend services and automation in Python
Build and maintain systems for hardware provisioning, testing, and lifecycle management
Develop software that runs directly on bare-metal environments
Integrate with Linux systems, using Bash and low-level tooling where needed
Implement and maintain CI/CD pipelines for infrastructure-focused software
Work with networking services including IPv4/IPv6, DHCP, DNS, network boot, and server boot workflows
Interface with BMC controllers and management protocols (IPMI-style protocols, HTTP-based standards)
Enable reliable hardware interaction and automation across large fleets
Support ARM64 / ARM64EC architectures
Design and integrate NoSQL data stores for system state and orchestration data
Write clear documentation and contribute to operational excellence
What we expect you to have:
Strong professional experience as a software engineer, with a focus on Python
Solid experience with Linux systems and shell scripting
Hands-on experience working with bare-metal servers or low-level infrastructure Strong understanding of networking fundamentals (IPv4/IPv6, DHCP, DNS, PXE / network boot)
Experience interacting with hardware management interfaces (BMC, IPMI-like protocols, HTTP APIs)
Familiarity with CI/CD systems and production deployment workflows
Experience designing or working with NoSQL databases
Ability to debug complex issues spanning software, hardware, and networks
Strong ownership mindset and clear communication skills in a distributed team
It will be an added bonus if you have:
Experience operating or building systems for large-scale infrastructure
Familiarity with ARM-based platforms in production environments
Background in hardware testing, validation, or factory provisioning
Experience with infrastructure automation or internal platform tooling
Contributions to open-source or internal systems software projects
Working conditions:
Fully remote position (United States)
Collaboration with globally distributed engineering and operations teams
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 $150k- $210k base equity + quarterly performance bonuses.
Join Nebius today and help build the software that powers the next generation of
AI infrastructure.
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: New York
Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.
The successful candidate will join QRT’s established Data Centre Operations team. Working closely with Network Engineering and wider infrastructure teams, you will help deploy,
maintain
and support the physical technology infrastructure used across QRT’s global data centre locations.
Your Future Role within QRT
Support the physical installation, maintenance and decommissioning of servers, network switches and other data centre equipment.
Rack, stack, cable and label equipment to a consistently high standard.
Install and manage copper, fibre and power cabling, including patching between devices and patch panels.
Carry out hardware break-fix activities, including replacing failed components, cables, optics, power supplies and other parts.
Assist with new equipment deployments, upgrades, capacity expansions and site decommissions.
Complete basic hardware checks and troubleshooting on servers, switches, power equipment and connectivity.
Work from build documents, rack elevations, patching schedules and technical instructions.
Support hardware deliveries, stock management, spare parts, equipment movements and site logistics.
Work with colocation providers, vendors, remote hands and onsite engineers to complete planned and reactive work.
Help maintain high standards of data centre cleanliness, cabling, labelling, security and general operational discipline.
Support planned work and break-fix activities across QRT’s global data centre environment.
Take part in out-of-hours and weekend work where required, including planned changes, deployments and urgent break-fix activities.
Participate in an out-of-hours on-call rota once suitable training and experience have been completed.
Your Present Skillset:
Some experience working in a data centre, IT infrastructure, network operations, hardware support or similar technical environment.
Hands-on experience installing or supporting servers, network devices, cabling or other IT hardware.
Basic understanding of servers, network switches, fibre, copper cabling and power connections.
A practical and methodical approach to physical work, troubleshooting and problem solving.
Strong attention to detail, particularly around cabling, labelling, documentation and build quality.
Comfortable following technical instructions, procedures and change plans.
Able to work safely and carefully within live data centre environments.
Good communication skills and willingness to work with internal teams, vendors and third-party engineers.
Organised and comfortable managing tasks, equipment, stock and documentation.
Willingness to learn new technologies and develop broader knowledge of data centre infrastructure.
Comfortable working as part of a globally distributed team.
Willingness to travel internationally when required.
Flexibility to carry out evening, overnight and weekend work when needed.
Willingness to participate in an out-of-hours on-call rota after completing the required training.
Base salary range for this position is $150,000 to $180,000 per year.
QRT Total Compensation includes discretionary performance-based bonuses and a competitive benefits package.
Location: Palo Alto, California
About Workato
Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit
workato.com
.
Why join us?
Ultimately, Workato believes in fostering a
flexible, trust-oriented culture that empowers everyone to take full ownership of their roles
. We are driven by
innovation
and looking for
team players
who want to actively build our company.
But, we also believe in
balancing productivity with self-care
. That’s why we offer all of our employees a vibrant and dynamic work environment
along with a multitude of benefits
they can enjoy inside and outside of their work lives.
If this sounds right up your alley, please submit an application. We look forward to getting to know you!
Also, feel free to check out why:
Business Insider
named us an “enterprise startup to bet your career on”
Forbes’ Cloud 100
recognized us as one of the top 100 private cloud companies in the world
Deloitte Tech Fast 500
ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
Quartz
ranked us the #1 best company for remote workers
Responsibilities
You’ll lead Analytics Engineering and Product Analytics at Workato. Your team will help us understand how enterprises adopt AI and orchestration, where promising projects stall, and what changes when customers expand from one successful deployment to many. You’ll work directly with Product leadership, guide the engineers who make usage data reliable, and develop the analysts who turn that data into decisions and original industry research.
What you’ll own
Data strategy and delivery
Set the strategy, roadmap, priorities, and capacity plan for both teams. Balance investments in shared data foundations with time-sensitive product decisions and investigations the team initiates.
Define who owns product instrumentation, pipelines, datasets, metrics, and analysis. Agree with Product and Engineering on handoffs and who makes technical and analytical decisions.
Turn major requests into scoped initiatives with owners, milestones, and success criteria. Resolve dependencies across Product, Engineering, Infrastructure, and Security. Bring progress, risks, and resource trade-offs to leadership early enough to act.
People and organization
Own hiring, onboarding, performance management, and workforce planning. Identify the skills and leadership capacity the organization needs as Workato’s portfolio grows.
Set clear expectations and career paths for managers, analytics engineers, and product analysts. Give engineers ownership of architecture and reliability. Coach analysts to frame a question, challenge an assumption, and defend a recommendation with evidence.
Analytics engineering and the data platform
Lead the engineering work to collect, model, transform, and curate product usage data. Deliver analytics-ready datasets that connect builder activity, workspaces, customer accounts, deployments, and production workloads.
Partner with senior engineers on architecture, orchestration, and tooling. Weigh scalability, maintainability, cost, and delivery speed when deciding whether to extend a data model, build a pipeline, or change the platform.
Establish standards for automated testing, CI/CD, documentation, lineage, and pipeline monitoring. Give critical datasets an owner and a way to detect stale, missing, or incorrect data before it affects a decision.
Product analytics and experimentation
Bring analysts into roadmap discussions while options are open. Understand the choices a product leader faces, test competing explanations, and identify what evidence would change the recommendation.
Define measurement during feature planning. Agree with PMs and engineers on the intended customer outcome, what telemetry to capture, who will implement it, and how to validate it before launch. Review the results after release.
Measure activation, engagement, retention, and expansion. Show whether growth comes from more customers reaching production, more business processes per customer, or greater volume in existing workloads. Each finding points to a different product decision.
Lead experiment design and interpretation. Define hypotheses, success metrics, and guardrails. Use funnels, cohorts, A/B tests, and holdouts where appropriate. Explain what the team can conclude when enterprise sample sizes are small.
Match the analysis to the stage of the product. Identify early signs of customer value for new offerings. Forecast adoption and growth for established products. Recommend where to invest, what to change, and when to measure again.
Metrics, self-service, and AI-assisted analytics
Publish a shared catalog of product and business metrics. Document each metric’s definition, calculation, source, and owner. Verify that the data platform, dashboards, and reports implement it consistently.
Give analysts and business teams governed datasets and reusable tools for reporting, experimentation, and advanced analysis. Make recurring questions easy to answer without a new engineering request.
Develop AI-assisted analytics that can monitor metrics, investigate changes, and explain findings. Ensure answers respect access permissions and let users verify the source and calculation.
Data culture and industry research
Establish regular reviews where Product, Sales, and Customer Success discuss a usage pattern, decide what to do, and return to see whether it worked. Help field teams use those findings to address adoption barriers and identify expansion opportunities.
Lead original research for the
Workato Automation Index
and industry briefings. Use aggregated usage data to examine which processes enterprises automate, who builds them, and where AI is moving into production. Test emerging trends against customer and market evidence, then partner with Marketing and Analyst Relations to publish findings the industry can use.
Requirements
What you bring
10+ years in analytics, data science, or a related quantitative field
, including experience leading senior practitioners, developing managers, and scaling teams.
Data engineering and modeling expertise.
You can review SQL and architecture decisions and guide teams working with cloud warehouses, transformation frameworks, and orchestration tools such as Snowflake and dbt.
Data cataloging and governance experience.
You’ve used Atlan or comparable tools to document ownership and lineage, govern access, and make trusted datasets discoverable.
B2B product and analytical judgment.
You know how to use behavioral analysis, forecasting, experimentation, and causal inference to guide a decision. You can explain a decision your team changed and what happened afterward.
Cross-functional leadership.
You’ve delivered work where teams share ownership of data and infrastructure. You can resolve dependencies, negotiate priorities, and explain trade-offs to engineers and executives.
Practical AI fluency.
You use AI to investigate questions and verify findings. Experience building analytics agents or governed self-service data products is a plus.
What success looks like
Priority launches ship with validated telemetry. In post-launch reviews, PMs can show who reached the intended outcome, where adoption stalled, and what they will change.
Product and field teams can answer recurring questions from shared datasets. They spend less time reconciling definitions or waiting for custom queries.
Engineers own reliable data assets. Analysts spend more time investigating behavior and testing hypotheses. Both teams have clear priorities, career paths, and a leader who resolves cross-functional trade-offs.
Product leaders seek the team’s perspective before committing to investments. Sales and Customer Success use its findings in customer conversations. Workato publishes original research that helps customers, partners, and analysts understand how enterprise AI and automation are evolving.
(REQ ID: 2538)
Location: Anywhere in France, Belgium, Spain
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.
🤘 HOW WE DO IT ?
People joining Alan are always surprised and delighted by our innovative working method. We have a set of cultural values https://alan.com/about/company-culture that guide our approach to work, such as:
🎯 What drives us - We're obsessed with helping members live healthier
- Mission is the Boss: long-term thinking, mission above all else
- Member & customer-led: obsessed with solving problems and delighting users
🏆 How we build excellence - We hire the best and empower them to succeed
- Champions of excellence: extremely high standards and talent density
- Distributed ownership: everyone owns their decisions and results
- Radically transparent: all information accessible, written-first, async decisions
🤝 How we grow together - We improve through honest feedback and bold thinking
- Optimistic alchemy: optimists who collaborate with genuine care
- Empathetic challengers: direct, caring feedback to help each other grow
- Bold contrarians: think differently, try new approaches
⚡ How we move fast — We fight complexity and focus on what matters
- Disciplined execution: decisive action with compounding focus
- Fight for simplicity: high-impact processes, smart frugality
⭐ THE PRODUCT PLATFORM AREA
🎯 MISSION
We enable product crews to move faster by providing reliable, reusable, and simple internal services. We encapsulate complexity, expose clear interfaces, and build mature, long-term building blocks.
🔭 SCOPE
Our focus is on building reusable internal capabilities that power multiple product flows:
- Core Services: APIs & systems like Payment, Messaging, Document Processing, Pricing Engine
- Shared Platforms: Centralized services (e.g. AI Platform) with strong adoption across areas.
- Operational Tooling: Dashboards and automation that support reliability, observability, and scalability.
- Foundational User Experience - Ensure quality and consistency of the UX through shared layout systems, navigation, reusable UI components
Our role is to empower product teams, reducing their cognitive load.
⚡ IMPACT
- Your work will be used daily by hundreds of product builders across Alan.
- You’ll shape reusable building blocks that make it faster and safer to launch products across multiple countries.
- By improving adoption of our services, you’ll directly improve product velocity, consistency, and member experience.
⚡ WHY THIS ROLE IS SPECIAL
- High Leverage: Your work is multiplied across the entire company — adoption & reliability is our main KPIs.
- Complex Problems: Multi-country services, abstraction design, and adoption challenges.
- Platform Mindset: You’ll build services like a product, with product teams as your customers.
- Ownership: You’ll influence product direction, mentor engineers, and shape Alan’s internal platform for years to come.
You’ll work closely with product crews across all Alan areas, as well as with our Architecture Group and Tech Foundation Area, making sure our systems scale globally and align with long-term technical strategy
🛠️ THE STACK
Python/Flask, React, PostgreSQL in a monorepo. We deploy daily and believe in distributed ownership - you build it, you own it.
🔍 WHAT WE’RE LOOKING FOR
Experience we value
- 3+ years in backend, platform, or infrastructure-oriented engineering roles
- Experience designing and maintaining internal services, APIs, or SDKs
- You love turning complex problems into elegant solutions
- You care about the "why" behind what you build, not just the "how"
MINDSET WE VALUE
- You think in terms of platform as a product: other engineers are your customers
- You simplify complexity with clear abstractions and long-term ownership
- You are collaborative, humble, and motivated by enabling others
- You leverage AI to redefine our roles and unlock scalability
- Healthcare technology excites you
- You are fluent in English (no French required)
🌍 HOW WE WORK
- Location: You must be legally eligible to work in France, Belgium, or Spain.
- Remote work: We offer remote work flexibility, but we value in-person collaboration
🎯 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.
YOU WANT TO KNOW MORE ABOUT ALAN?
- 🙌 Perks & Benefits https://alan.com/en/careers/a/salary-equity: Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers.
- 🤘 A strong culture https://alan.com/en/about/a/leadership-principles: People joining Alan are often surprised and delighted by our innovative working method. We have a set of cultural values that guide our approach to work
🔄 A quick note about the process
Note: While you're applying for a specific area,, you may join a different engineering team based on where we think you'll have the most impact. Check out descriptions of other areas here https://www.notion.so/alaninsurance/Software-Engineering-Areas-Alan-2c61426e8be7805bacd2cdbc08c32640?source=copy_link.
Location: Pune; Bangalore
Workplace: remote
IDT (www.idt.net) is a communications and financial services company founded in 1990 and headquartered in New Jersey, US. Today it is an industry leader in prepaid communication and payment services and one of the world’s largest international voice carriers. We are listed on the NYSE, employ over 1800 people across 20+ countries, and have revenues in excess of $1.5 billion.
We are looking for a skilled Senior Data Engineer (with AI/ML exposure) to join our BI team and take an active role in designing, building, and maintaining the end-to-end data pipeline, architecture and design that powers our warehouse, LLM-driven applications, and AI-based BI. If you're looking for a company that will give you the maximum flexibility in choosing a location to work, this opportunity is for you!
* The interview process will be conducted in English.
Responsibilities:
Design, develop, and maintain scalable data pipelines to support ingestion, transformation, and delivery into centralized feature stores, model-training workflows, and real-time inference services.
Design, optimize, and maintain robust ETL/ELT pipelines and data structures within our cloud data warehouse (Snowflake/Redshift) to support core Business Intelligence.
Build and optimize workflows for extracting, storing, and retrieving semantic representations of unstructured data to enable advanced search and retrieval patterns.
Architect and implement lightweight analytics and dashboarding solutions that deliver natural language query experience and AI-backed insights.
Define and execute processes for managing prompt engineering techniques, orchestration flows, and model fine-tuning routines to power conversational interfaces.
Oversee vector data stores and develop efficient indexing methodologies to support retrieval-augmented generation (RAG) workflows.
Partner with data stakeholders to gather requirements for language-model initiatives and translate into scalable solutions.
Create and maintain comprehensive documentation for all data processes, workflows and model deployment routines.
Should be willing to stay informed and learn emerging methodologies in data engineering, MLOps and LLM operations.
Requirements:
Senior Data Engineer with 6-7+ years of experience in building scalable data infrastructure and 1-2 years of hands-on exposure to AI/ML workflows.
Excellent English communication skills.
Hands-on experience with big data technologies including Apache Spark, Hadoop, and Kafka for distributed processing and real-time data ingestion.
Experience designing complex data pipelines extracting data from RDBMS, JSON, API and Flat file sources.
Demonstrated skills in SQL and PLSQL programming, with advanced mastery in Business Intelligence and data warehouse methodologies, along with hands-on experience in one or more relational database systems and cloud-based database services such as Snowflake/Redshift.
Effective oral and written communication skills with BI team and user community.
Demonstrated experience in utilizing python for data engineering tasks, including transformation, advanced data manipulation, and large-scale data processing.
Deep understanding of vector databases and RAG architectures, and how they drive semantic retrieval workflows.
Skilled at integrating open-source LLM frameworks into data engineering workflows for end-to-end model training, customization, and scalable inference.
Experience with cloud platforms like AWS or Azure Machine Learning for managed LLM deployments.
Understanding of software engineering principles and skills working on Unix/Linux/Windows Operating systems, and experience with Agile methodologies.
Proficiency in version control systems, with experience in managing code repositories, branching, merging, and collaborating within a distributed development environment.
Interest in business operations and comprehensive understanding of how robust BI systems drive corporate profitability by enabling data-driven decision-making and strategic insights.
Pluses:
Experience with vector databases such as DataStax AstraDB, and developing LLM-powered applications using popular open source frameworks like LangChain and LlamaIndex–including prompt engineering, retrieval-augmented generation (RAG), and orchestration of intelligent workflows.
Familiarity with evaluating and integrating open-source LLM frameworks–such as Hugging Face Transformers/LLaMA-4 across end-to-end workflows, including fine-tuning and inference optimization.
Knowledge of MLOps tooling and CI/CD pipelines to manage model versioning and automated deployments.
What we offer:
Remote work opportunity!
B2B Employment ($, gross) or full-time employment option.
Stable job with long-term growth perspective.
Competitive salary with annual performance review.
Really good hardware.
An exciting and challenging job with talented people around.
Continuous learning and career growth opportunities.
Compensation for professional training, seminars, and conferences.
Referral program – get rewarded for helping us grow the team with talented people.
Company-supported English classes to enhance your professional growth.
Please attach CV in English.
The interview process will be conducted in English.
Only accepting applicants from INDIA
Location: UAE
Workplace: Remote
ABOUT ELEVENLABS
ElevenLabs is an AI research and product company transforming how we interact with technology.
We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always.
We have expanded from voice into three main platforms:
- ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale.
- ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages.
- ElevenAPI gives developers access to our leading AI audio foundational models.
Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you.
HOW WE WORK
- High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.
- Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.
- AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations.
- Excellence everywhere: Everything we do should match the quality of our AI models.
- Global team: We prioritize your talent, not your location.
WHAT WE OFFER
- Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.
- Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities.
- Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend.
- Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose.
- Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún
- Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.
ABOUT THE ROLE
We’re looking for a highly motivated, self-starter first Revenue Partnerships hire based in the Middle East who is passionate about AI technology and how it is changing businesses. We don’t just sell a product or custom-level solutions; we are partnering with enterprises to help them generate new experiences and monetization opportunities at scale with our breakthrough voice technology and solutions. In this role you will:
- Actively seek out, identify, qualify, and build a sales pipeline through partnerships with Global/Regional System Integrators, Cloud Providers, Value-Added Resellers (VARs), consulting firms and Technology Partners.
- Collaborate with our Enterprise Sales team to close deals and consistently exceed monthly, quarterly, and yearly sales targets.
- Establish and nurture strong partnerships that drive business growth and create new opportunities.
- Serve as the primary point of contact for all partner-related initiatives within the Regional Sales team.
- Oversee partner relationships at the regional level while maintaining alignment with global strategies.
REQUIREMENTS
- At least 7 years of quota-carrying experience in a fast-paced, competitive sales environment, focusing on new business development.
- A minimum of 3 years of experience managing sales pipelines and closing deals through partnerships with Global and Regional System Integrators, VARs, Cloud Partners,consulting firms and Technology Providers within a complex sales matrix.
- Proven ability to communicate the business value of advanced enterprise technology solutions.
- A history of consistently exceeding sales targets and achieving strong performance.
- Expertise in navigating complex sales cycles and developing business champions.
- Self Starter
- Analytical skills and proficiency with spreadsheets
- Proficiency in creating compelling presentations and demos
- Market Insight: Deep knowledge of the In SaaS/AI industry
- Proficiency in English
Bonus:
- Network in the relevant partner bases
- Proficiency in Arabic
#LI-remote
We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Location: San Francisco, CA
Workplace: OnSite
ABOUT US
Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia.
We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do.
Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs.
WHAT YOU'LL DO
- Implement Go-to-Market software for our marketing, sales, and agent development teams
- Design and build the automated workflows, integrations, and AI-powered systems that turn signal into pipeline, across enrichment, scoring, routing, and outbound activation
- Own our enrichment infrastructure end-to-end: the pipelines that take a new signup, demo request, or event attendee list and return a fully enriched, scored, Salesforce-upserted record across Clay, ZoomInfo, Cognism, and LLM-powered sources
- Build AI agents and AI-powered internal tools that compound sales team output — account research, call summarization, RFP and security questionnaire response, proposal generation, and Slack-accessible agents that surface account intel on demand
- Build and improve the fit scoring pipeline that evaluates every account against our ICP and writes results to Postgres and Salesforce, including signal design, batching, retry logic, and continuous improvement of the underlying models
- Develop data architecture using Postgres, Fivetran pipelines, and reverse ETL. Keep data jobs healthy and in sync with the tools that consume them; track downstream impact when schemas and apps change
- Ship production code with PR review, observability, and proper error handling and debug production incidents (Salesforce platform failures, enrichment failures, LLM timeouts)
WHAT YOU'LL BRING
- 3+ years in GTM Engineering, Revenue Operations, Sales Engineering, Growth Engineering, or a closely adjacent technical role at a high-growth B2B SaaS company
- Python and TypeScript skills: You write clean code, understand async patterns, can design a database schema, and can debug a production incident from logs alone
- Hands-on experience inside a modern GTM stack (Salesforce, HubSpot, Outreach, Clay, enrichment providers): You understand how leads flow through a CRM and why data quality degrades over time
- Production experience with LLMs: Prompt design, eval loops, error handling, and the difference between a demo and a system you can trust at scale
- Strong working knowledge of SQL, schemas, and data flow across GTM and warehouse systems
- Systems thinking: You’ve built data pipelines and think about what happens at 10x volume, when an API goes down, or when the same account hits your queue five times in parallel
- Owner's mindset: You take accountability from code to deployment to adoption, define scope with minimal direction, and ship good solutions over perfect ones
EVEN BETTER…
- Built applications using LLMs, ideally with exposure to production-grade AI/ML systems
- Developed custom Salesforce solutions using apex classes, apex triggers, LWC, SLDS
- Integrated salesforce with other business systems using REST/SOAP APIs, Platform Events, and External Services
OUR VALUES
- Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.
- Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.
- Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.
- Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.
- Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.
WHAT WE OFFER
We want our benefits to reflect our values and offer the following to full-time employees:
- Flexible (unlimited) paid time off
- Medical, dental, and vision benefits for you and your family
- Life insurance and disability benefits
- Retirement plan dependent on country of employment
- Parental leave
- Fertility and family building benefits
- Lunch, as well as delicious snacks and coffee to keep you energized when working onsite
- Discretionary benefit stipend giving people the ability to spend where it matters most
- Free alphorn lessons
These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.
BE YOU, WITH US
We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description.
Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy.
We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.
seniorTel Aviv, Israel; Travel: This position may require on-site presence at data centers during key deployment phases
ГибридСША; 💹 401(k) Program with a 4% match (US Only); 🚗 Commuter Benefits (In-Office & US Only); We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
Автоотклики