Location: Chișinău
Workplace: onsite
The international technology company Ajax Systems opens a full-cycle production.
Ajax Systems is the largest developer and manufacturer of security systems in Europe. The back office, R&D department, and two full-cycle production facilities are located in Ukraine. The company has branch offices worldwide: UAE (Dubai), Italy, Spain, Germany, Poland, Canada, and many other regions. Ajax team has more than 2,200 employees, including 500 developers and 1,200 production workers. Attracting local expertise in each key market enables us to scale the product globally and grow fast.
Responsibilities:
Data collection and extraction:
working with databases, ERP systems, Google Sheets, and APIs.
Data cleaning and transformation:
Data Cleaning / Wrangling.
Report and dashboard development.
Data visualization:
selecting the most appropriate visualizations to communicate information effectively.
Ad-hoc business support:
responding to ad-hoc requests from different departments and supporting report users.
Documentation:
documenting analysis methodologies, data sources, and KPI calculation logic.
Report automation:
automating regular reporting, reducing manual operational work, and building data pipelines using ETL tools or scheduling features in BI tools.
Requirements:
Advanced SQL analysis:
writing complex queries using JOINs, CTEs, and window functions to retrieve and analyze the required data.
Building data pipelines and ETL processes:
designing and implementing reliable processes for extracting, transforming, and loading data from various sources into a centralized storage system (Data Warehouse, Data Lake).
Working with cloud platforms:
hands-on experience with Google BigQuery.
Data Storytelling:
ability to go beyond simply presenting charts and tell a clear, compelling story based on data that leads to specific business decisions. This includes structuring presentations and effectively communicating insights.
Strong knowledge of Power BI.
Tech Stack:
SQL, Power BI, Google BigQuery, Python.
Ajax Systems is a big team of professionals and open-minded people who share ambitious goals. Join in!
Location: Remote-Friendly (Travel Required) | San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
Anthropic is seeking an experienced Datacenter Controls Engineer to join our Datacenter Infrastructure team. In this role, you will design, implement, and optimize control systems that support our global datacenter infrastructure, enabling the reliable operation of AI at scale.
You will work on cutting-edge control systems managing critical datacenter operations including liquid cooling systems (CDUs/CDMs), HVAC, electrical power monitoring systems, and building automation systems. This position requires both technical depth in industrial automation and the ability to collaborate across disciplines to deliver integrated solutions for high-density AI compute infrastructure.
Responsibilities
System Architecture & Integration
Design and implement multi-site controls architecture across Anthropic's global datacenter facilities
Define network topology, redundancy, and high-availability requirements for control nodes and servers
Develop and maintain standardized frameworks for BACnet, Modbus TCP/IP, OPC-UA, MQTT, and SNMP communication layers
Ensure integration between control systems and enterprise networks while maintaining security boundaries and compliance with cybersecurity frameworks for industrial control systems
Control System Design & Implementation
Define, design, develop, and implement control systems for datacenter mechanical, electrical, and building management systems with focus on AI compute environments
Develop SCADA/BMS applications using platforms including Ignition, Niagara/Tridium, or similar HMI/supervisory systems
Select and specify instrumentation including sensors, transmitters, actuators, and control valves for liquid cooling loops, power distribution, and environmental monitoring
Data Collection & Visualization
Architect and supervise deployment of centralized telemetry systems capable of storing high-resolution time-series data from power, thermal, and environmental sensors
Develop intuitive dashboards and visualization layers using Ignition SCADA, Grafana, or comparable frameworks for facilities, operations, and engineering teams
Leverage control systems to enable performance insights, fault detection, and predictive maintenance capabilities
Construction Integration & Documentation
Participate in new design and construction projects to ensure controls and BMS standards are embedded from design through commissioning
Define and review controls and instrumentation specifications in architectural and MEP packages
Create comprehensive technical documentation including P&IDs, control narratives, sequence of operations, and commissioning procedures
Validate installed systems during commissioning for proper network configuration, protocol compatibility, and data visibility
Minimum Qualifications
Bachelor's degree in Engineering (Electrical, Controls, Mechanical, Computer) or equivalent practical experience
7+ years of experience in control systems design and implementation for industrial automation, building automation, or datacenter systems
Deep familiarity with industrial communication protocols: BACnet, Modbus TCP/IP, OPC-UA, MQTT, SNMP, Ethernet-IP
Experience with instrumentation selection, control panel design, and control system integration
Working knowledge of network architecture including subnets, VLANs, firewall rules, and IP management
Strong documentation skills and ability to work effectively in cross-functional teams
Preferred Qualifications
10+ years in datacenter, critical facilities, or mission-critical infrastructure environments
Experience with liquid cooling systems including CDUs, CDMs, and cooling tower control systems
Background in high-density rack integration environments and AI/ML compute infrastructure
Experience designing or deploying BMS/SCADA systems such as Ignition, Niagara/Tridium, Wonderware, or similar
Strong background in database integration (SQL Server, InfluxDB, PostgreSQL, TimescaleDB) and data logging architecture
Proficiency in Python or scripting for automation/configuration within SCADA/BMS frameworks
Experience deploying multi-site redundant controls servers with high-availability requirements
Professional Engineering (PE) license or vendor certifications (Schneider, Rockwell, Siemens)
Knowledge of relevant codes and standards: ASHRAE, NFPA, IEEE, ISA
Familiarity with Grafana, Node-RED, Ignition Perspective, or equivalent visualization tools
Experience bridging cloud orchestration systems with facility-level power controls and load management (e.g., DCIM, BMS, EPMS)
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$405,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
Anthropic's Infrastructure organization is the engine that powers our mission. Every breakthrough in AI safety research and every interaction users have with Claude depends on the systems we build and operate: massive clusters for training frontier models, production infrastructure serving millions of users reliably, and developer platforms that help engineers move fast without breaking things.
As a Technical Program Manager for Infrastructure, you’ll work across multiple infrastructure domains to coordinate complex programs that have broad organizational impact. You’ll be solving novel scaling challenges at the frontier of what's possible, all while maintaining the security and reliability our mission demands.
This role is ideal for someone who thrives in ambiguity and believes their job is to make everyone around them more effective. You’ll partner closely with engineering leadership to drive strategic initiatives while ensuring seamless coordination between research, engineering, and product teams.
What you’ll do:
Developer Productivity & Tooling
Drive cross-functional programs to improve developer environments, CI/CD infrastructure, and release processes that enable rapid innovation while maintaining high security standards
Coordinate large-scale migrations and platform modernization efforts across engineering teams
Partner with teams to measure and improve developer productivity metrics, identifying bottlenecks and driving systematic improvements
Lead initiatives to integrate AI tools into development workflows, helping Anthropic be at the forefront of AI-assisted research and engineering
Infrastructure Reliability & Operations
Drive programs to establish and achieve reliability targets across training infrastructure and production services
Coordinate incident response improvements, post-mortem processes, and on-call rotations that help teams operate effectively
Establish metrics and dashboards to track infrastructure health, capacity utilization, and operational excellence
Cross-functional Coordination
Serve as the critical bridge between infrastructure teams, research, and product, translating technical complexities into clear updates for a variety of audiences
Consult with stakeholders to deeply understand infrastructure, data, and compute needs, identifying solutions to support frontier research and product development
Drive alignment on priorities and timelines across teams with competing constraints
You May Be a Good Fit If You
Have 5+ years of technical program management experience, with a track record of successfully delivering complex infrastructure programs in ML/AI systems or large-scale distributed systems
Have deep technical understanding of infrastructure systems—enough to engage substantively with engineers, identify technical risks, and add value beyond project tracking
Excel at creating structure and processes in ambiguous environments, bringing clarity to complex cross-team initiatives
Have strong stakeholder management skills and can build trust with both technical and non-technical partners
Are comfortable navigating competing priorities and using data to drive technical decisions
Have experience with developer productivity initiatives, CI/CD systems, or infrastructure scaling
Thrive in fast-paced environments and can balance strategic planning with tactical execution
Are obsessed with reliability, scalability, security, and continuous improvement
Have a passion for supporting internal partners like research to understand their unique needs
Are passionate about AI infrastructure and understand the unique challenges of building and operating systems at frontier scale
Experience with Kubernetes, cloud platforms (AWS, GCP, Azure), and ML infrastructure (GPU/TPU/Trainium clusters)
Background working with research teams and translating their needs into concrete technical requirements
Experience driving adoption of AI tools to improve engineering productivity
Familiarity with observability tooling and practices
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:
$290,000
—
$365,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: 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
The
Data Center Design Lead
will partner with internal infrastructure, hardware, and operations teams, as well as external consultants, engineers, and construction firms, to deliver designs that support rapid deployment and long-term operational excellence.
This role leads internal electrical and mechanical engineers, oversees third-party design partners, and ensures all designs meet Nebius standards, local regulations, and operational requirements.
You will be responsible for both hands-on design oversight and technical leadership, serving as the final authority on data center design decisions.
Location: Remote, US
Responsibilities:
Design Leadership
• Own the end-to-end design process for new data center builds and expansions.
• Translate business, hardware, and workload requirements into facility design specifications (power, cooling, network, and floor space).
• Ensure designs optimize density, reliability, and efficiency while supporting rapid scalability.
• Coordinate with mechanical, electrical, and plumbing (MEP) engineers and consultants to deliver detailed designs.
Power & Cooling Strategy
• Define requirements for high-density rack power, redundancy and UPS configurations.
• Lead cooling design trade-offs (air, liquid, immersion) to meet GPU cluster needs.
• Evaluate and integrate renewable energy and sustainability initiatives.
Network & Infrastructure Integration
• Work closely with network and hardware teams to ensure physical layout supports cabling, interconnects, and future expansion.
• Plan for modular design that enables incremental GPU cluster growth.
Compliance & Standards
• Ensure all designs comply with international and regional standards (e.g., Uptime Institute Tier guidelines, local building codes).
• Incorporate safety, fire suppression, and physical security measures.
• Define documentation and as-built standards for ongoing operations.
Cross-Functional Collaboration
• Coordinate with construction project managers and external contractors during build phases.
• Provide design oversight during commissioning and handover to operations.
Continuous Improvement
• Evaluate emerging GPU data center technologies and integrate innovative solutions.
• Develop playbooks and design templates for repeatable, fast deployments.
• Benchmark efficiency (PUE, WUE) and reliability across sites to drive improvement.
Requirements:
12+ years
of experience designing
data centers
.
Direct experience with
electrical, mechanical, and architectural DC design
.
Degree in
Electrical Engineering, Mechanical Engineering, or Architecture
(or equivalent).
Proven leadership experience managing technical design teams.
Strong stakeholder communication skills across construction, operations, and external partners.
Experience designing
high-density data centers
, including:
Air-cooled environments &
Liquid-cooled technologies
Nice to Haves:
Experience designing data centers for
hyperscalers or neoclouds
Prior experience supporting GPU dense or AI infrastructure environments.
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 $90,000-$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: 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: Hybrid - San Francisco, New York City, Austin
About Vercel:
Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience.
Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide.
About the role
As an Account Executive on Vercel's Startups team, you'll grow a portfolio of startup customers who've already adopted Vercel, from early usage through full-scale adoption. You'll use usage data to spot expansion and re-engagement opportunities, coordinate sales engineers, developer support engineers, product, and support to resolve technical blockers, and turn what works into repeatable playbooks other AEs can reuse. This is a hybrid role based in San Francisco, Austin, or New York City, with three days a week in the office; outside commuting distance of those offices, it's fully remote.
What you'll do
Build relationships with founders and technical leaders by developing a deep, fast understanding of their architecture, use cases, and technical constraints
Analyze usage patterns to identify the highest-leverage accounts for expansion, adoption, or re-engagement
Coordinate sales engineers, developer support engineers, product, and support at the right moments to drive customer outcomes
Own and grow a portfolio of startup accounts as they move from early adoption to scale
Build repeatable plays and automations that help the team operate at higher leverage across the portfolio
What you need
4+ years closing deals in a full-cycle sales role, with experience owning revenue outcomes across a range of deal sizes
Hands-on experience discussing architecture, infrastructure, or technical trade-offs directly with developers or technical stakeholders
Experience managing an existing account portfolio through renewal, expansion, or usage growth, not just net-new acquisition
Background as a founder, engineer, or technical go-to-market professional, with working knowledge of modern web infrastructure and frontend performance
Bonus if you
Have hands-on experience building or shipping software yourself
Have sold into or supported customers at a developer-tools or platform-as-a-service company
Have built or used automation or AI workflows to scale a sales or customer-facing motion
Benefits & Compensation:
Competitive compensation package, including equity.
Inclusive Healthcare Package.
Learn and Grow - we provide mentorship and send you to events that help you build your network and skills.
Flexible Time Off.
We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed.
The San Francisco, CA OTE range for this role is $180,000-$240,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process.
Disclosures:
Privacy:
Please review our
Job Applicant Privacy Policy
for more information on how we handle your data.
Equal Opportunity:
Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.
Location: Guadalajara
Workplace: remote
Ajax Systems is an international tech company and the largest manufacturer of security systems in Europe, with over 4.5 million end users and 330K PRO users in more than 180 countries worldwide. The company offers end-to-end solutions for protecting homes and businesses оf any scale. To date, Ajax product portfolio includes 280 devices for intrusion protection, video surveillance, fire and life safety, and comfort and automation. The company employs 5,000 specialists.
We develop local teams because we understand local experts best comprehend market specifics. The company has sales representatives worldwide, including Norway, Sweden, Denmark, Finland, Italy, Spain, Germany, France, the United Kingdom, the USA, Australia, South Africa, and other regions. The Global Business Development team is like-minded people who share the ambitious goals of Ajax Systems.
The best software combined with powerful hardware has forever changed the perception of security systems for users and industry professionals. Being recognized at the biggest specialized exhibitions such as IFSEC, Expoprotection, and Intersec, as well as winning prestigious awards from industry-leading media like PSI magazine and GIT SECURITY, today Ajax is one of the most awarded security systems in Europe.
Ajax Systems production includes 4 factories, 2 of which are located in Ukraine, 1 in Turkey, and 1 in Vietnam. At the same time, the company's certification according to the ISO 14001 standard ensures a minimal impact of production on the environment. The selection of components for Ajax device manufacturing is determined by the presence of manufacturer declarations confirming compliance with RoHS requirements.
The company emerged against the backdrop of revolution and war. That's why resilience is the cornerstone of the brand's DNA, and the fight against evil by creating the best security and automation devices is Ajax unwavering mission.
Personality profile:
3+ years of experience in the electronic security industry or a similar industry.
Demonstrated sales experience in the
Mexican market.
Strong technical knowledge of electronic security systems, including access control, video surveillance, intrusion detection, or fire alarm systems.
Languages:
Fluent in
Spanish; English is a plus
Proven track record of being involved in the entire sales process, from identifying new business opportunities, developing proposals and presentations, negotiating, and closing deals.
Developing and implementing successful sales strategies.
Excellent communication and interpersonal skills to build relationships with customers, partners, and industry experts at an executive level.
Strong analytical skills to analyze market trends, identify customer needs, and develop effective solutions.
Ability to manage and prioritize multiple projects and tasks simultaneously.
Knowledge of the latest technologies and trends in electronic security, such as cloud-based solutions, IoT, and AI-based analytics.
A strong combination of technical knowledge, sales expertise, and strong communication skills.
Responsibilities:
Develop and implement a strategic business development plan in Mexico, aligned with company objectives and market trends.
Identify, evaluate, and onboard new distributors and partners across the region, ensuring coverage in key markets and verticals.
Identify and pursue new business opportunities that align with the company's growth strategy.
Develop and maintain relationships with key clients, partners, and stakeholders.
Conduct market research to identify new trends, opportunities, and potential risks.
Analyze market data to develop and execute effective sales strategies.
Collaborate with cross-functional teams to ensure the successful delivery of products and services.
Prepare and deliver presentations to potential clients and partners.
Negotiate contracts and agreements with clients and partners.
Manage and prioritize multiple projects and initiatives simultaneously.
We offer:
Competitive compensation that includes a base salary and performance-related bonuses.
A product that sells itself.
Freedom to make decisions and implement ideas.
A zero bullshit culture.
A strong and well-coordinated team of professionals.
Ambitious tasks and challenges.
Opportunity to work with the most recognized security system and develop your career.
Car allowance and full coverage of business-related expenses.
We are working to ensure that people's lives are calm and the world safe.
Let's become a part of the team that creates in Ukraine a smart and useful global product.
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: Jinan, China; Beijing, China
Workplace: remote
About Welo Life Sciences
Welo Life Sciences, a Welo Global brand, is a specialized language and technology partner serving pharmaceutical, CRO, and medical device organizations operating in regulated global markets. We deliver regulator-ready translation, linguistic validation, and localization solutions that support clinical trials, pharmacovigilance, regulatory affairs, labeling, and global commercialization. Our approach combines subject matter expertise with ISO-certified quality processes and technology-enabled workflows designed to integrate seamlessly into life sciences operations. With extensive experience supporting global product development and post-market requirements, Welo Life Sciences helps organizations accelerate timelines, protect data integrity, and maintain compliance across languages and regions. All solutions are delivered within a secure, audit-ready framework supported by seven ISO certifications. welolifesciences.com
This role involves managing translation and copy-editing tasks, ensuring high-quality linguistic deliverables for assigned projects or accounts. Responsibilities include coordinating freelancers, maintaining language resources, resolving terminology queries, and collaborating with clients and internal teams to enhance workflow efficiency.
This is a key position that requires a strong background in Life Sciences translation, with a focus on clinical research documents (clinical trial protocols, patient information sheets/informed consent forms, investigational medicinal product dossiers (IMPD), investigational drug labels, patient recruitment materials, etc.).
This role works closely with Quality, Program Squads, Talent, Simplified Chinese suppliers, and other stakeholders to provide precise language support for life sciences and more specifically clinical research-related matters.
This professional ensures that the expected level of translation quality is maintained, and the product delivered to the client should always meet its intended purpose.
Job Reference: #LI-JC1
The following is a non-exhaustive list of responsibilities and areas of ownership for this role:
Performing lead linguist function on assigned accounts; provide SME support for designated clients
Performing copy-edit tasks on assigned projects or accounts
Performing on-demand translation tasks
Taking ownership of deliveries that were translated by the linguists for one or more accounts into Simplified Chinese
Preparing, managing and maintaining the language materials (including glossaries, Style Guides, work instruction) up to the quality standards and up to date as required by the account or project
Managing project-related queries
Ensuring good interaction among team members and resolving questions on terminology and language matters
Coordinating a team of freelancers on assigned projects or accounts
Testing and qualifying new freelancers and vendors as required; monitor resources’ performance
Developing and training of new and existing freelancers according to the accounts’ and Welocalize’s needs
Recommend Simplified Chinese Life Sciences resources to Squads, based on data of quality, OTD, language strategy, capacity needs, content specialty, or client specific requirements
Conduct monthly capacity planning for Life Sciences, make sure adequate resources in place to support the production
Interacting with clients on linguistic matters as required
Work with Quality and Squads to plan and perform LQAs, and drive arbitration process
Support Quality team in reviewing client escalations related to Simplified Chinese and in conducting RCAs for life sciences translation
Responsible for client inquiries; attend client calls as needed
Participating in the development of new and improved working processes
Meet or exceed the productivity KPI
Achieving the goals set by the Squad Lead
Education Level
University degree in Translation/Applied Languages or equivalent combination of education and experience, in a Life Sciences-related field: Medicine, Pharmacy, Nursery, Biology, Chemistry.
A Master’s degree is a plus
4+ years of relevant experience in translation/localization, with speciality Life Sciences
Experience
8+ years of relevant experience in translation/localization/editing or content writing
5+ years of review experience
Fluent in English, both written and spoken
Native fluency in Simplified Chinese
Thorough understanding of the localization process
Knowledge of Simplified Chinese life sciences and clinical research regulations
Excellent user experience of standard CAT tools, e.g. XTM, SDL Studio, and issue tracking and query management tools, e.g. JIRA, Verifika
Excellent user experience of standard software, such as Windows and Office applications
Good understanding of Machine Translation Post-Editing process and willingness to work with AI tools
Ability to learn new localization tools and applications quickly
Excellent interpersonal, written and verbal communication skills
Excellent knowledge of terminology used in two or more subject matters
Subject-matter expert within company for discipline or process
Ability to work with tight deadlines
Ability to give clear, concise and constructive feedback
Ability to coordinate internal and external translators
Ability to effectively present information and respond to questions from groups of managers, clients, customers, linguists
Ability to solve practical problems and deal with a variety of concrete variables in situations where only limited standardization exists. Ability to interpret a variety of instructions furnished in written, oral, diagram, or schedule form.
Ability and willingness to train/teach others and pass on knowledge
Ability, willingness and experience in communicating positively with customers at various levels
Ability to work in a virtual team contributing to the team's success, or work independently as needed
Problem-solving mindset that can proactively assess and mitigate risks
Ability to prioritize ongoing projects based on business needs and urgencies that arise
Excellent oral and written communication skills
Location: Menlo Park
Blockstream https://blockstream.com/ was founded in 2014 by Dr. Adam Back https://en.wikipedia.org/wiki/Adam_Back and a group of fellow cryptographers and engineers who are passionate about Bitcoin and its potential to change the world. Today, Blockstream is the leading Bitcoin company, providing cutting-edge infrastructure solutions for enterprises, institutions, and individual Bitcoin users. We develop industry-leading Bitcoin self-custody solutions, Bitcoin-based financial products, second-layer scaling technologies, and enterprise-grade blockchain infrastructure.
Blockstream is seeking a Platform Architect to define and evolve the architectural foundation of our core platforms. This role is responsible for end-to-end system design, ensuring scalability, reliability, security, and developer efficiency across Blockstream’s infrastructure and product ecosystem.
You will work closely with engineering, security, product, and leadership to design distributed systems that support high-value financial use cases, while upholding Bitcoin’s core principles of decentralization and trust minimization.
What You’ll Be Doing (Responsibilities):
- Own the architecture and technical vision for Blockstream’s platform and shared services
- Design scalable, secure, and fault-tolerant distributed systems supporting Bitcoin, Layer-2, and enterprise products
- Define platform standards for APIs, data models, service boundaries, and infrastructure patterns
- Partner with engineering teams to guide implementation, review designs, and resolve complex technical challenges
- Collaborate with Security and Infrastructure teams to ensure defense-in-depth, key management, and operational resilience
- Evaluate and introduce new technologies while balancing innovation with operational maturity
- Ensure platform designs support regulatory, enterprise, and institutional requirements without compromising decentralization principles
- Document architectural decisions, tradeoffs, and long-term technical roadmaps
- Mentor senior engineers and help raise the overall architectural rigor across teams
What We Look For in You (Required Qualifications):
- 5+ years of experience designing and operating large-scale platforms or infrastructure systems
- 6-8 years of development experience building production-grade backend with strong security boundaries, authentication, authorization, key management, as well as designing APIs, data models, and distributed services that run reliably at scale.
- Proven experience as a Platform Architect, Principal Engineer, or Senior Systems Architect
- Deep understanding of distributed systems, including consensus, fault tolerance, replication, and networking
- Strong experience with cloud and/or hybrid infrastructure (AWS, GCP, bare metal, Kubernetes, Terraform, etc.)
- Expertise in security-critical systems, including authentication, authorization, cryptography, and key management
- Experience designing high-availability systems for financial or mission-critical applications
- Strong written and verbal communication skills, with the ability to explain complex technical concepts to diverse stakeholders
- Comfort working in a remote, globally distributed team
Nice to Have (Preferred Qualifications):
- Hands-on experience with Bitcoin, Lightning, Liquid, or blockchain infrastructure
- Experience contributing to open-source projects
- Familiarity with HSMs, secure enclaves, or hardware-backed key storage
- Background in fintech, capital markets, or institutional financial systems
- Experience balancing enterprise requirements with decentralized architectures
🔒 Stay Safe from Job Scams
All official Blockstream communication will come from an @blockstream.com email address. We will never ask you to share sensitive information or purchase equipment during the hiring process. If in doubt, contact us at hr@blockstream.com. Learn more about avoiding job scams here https://consumer.ftc.gov/consumer-alerts/2022/05/want-work-home-spot-scams-first.
Location: 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.
Location: Home based - EMEA
Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.
The company is founder led, profitable and growing.
This is an opportunity to shape the future of cloud networking user experience at Canonical, the company behind Ubuntu. We're looking for an exceptional Staff Design Engineer who can make complex networking infrastructure intuitive, powerful, and delightful for developers and operations teams working in cloud environments.
As a Staff Design Engineer, you'll define the UX vision for how users interact with networking across our cloud portfolio—from MAAS to MicroCloud and Ubuntu Server networking. You'll work on challenges like visualizing network topologies, designing intuitive configuration interfaces, and creating experiences that make infrastructure manageable at scale.
This role sits in the design team reporting to the Infrastructure design manager and is expected to have a company-wide impact.
Location:
This role will be based remotely in the EMEA region.
The role entails
Defining and driving the UX strategy for cloud networking products across Canonical's portfolio
Designing intuitive interfaces for highly complex networking concepts that rethink VPCs, subnets, routing tables, security groups, load balancers, and network observability
Creating and evolving design systems and patterns that scale across multiple products and platforms
Conducting user research with DevOps engineers, network administrators, SREs, and cloud architects to understand their workflows, pain points, and mental models
Building prototypes and high-fidelity designs using Figma or similar tools
Creating experiences for network troubleshooting, monitoring, and observability
Working on both GUI and terminal-based user experiences, understanding that our users span from UI to CLI preferences
Mentoring designers and contribute to design culture across Canonical
Owning one of our working groups to enable Canonical design’s horizontal efforts
What we are looking for in you
Exceptional academic track record from both high school and university
Bachelor’s or equivalent in User Experience, Design, or STEM or a compelling narrative about your alternative chosen path
8+ years of experience in product design, UX design, or interaction design, with a strong portfolio of B2B/enterprise products
Solid understanding of cloud computing and networking fundamentals, experience designing for developers and operations teams, and their workflows
Strong information architecture skills and can organize complex systems into clear, navigable structures
Experienced in user research methodologies and can translate findings into actionable design decisions
Excellent communication skills and can articulate design rationale to both technical and non-technical audiences
Self-motivated, organized, and comfortable working in a distributed, remote-first environment
Knowledge and passion for the intersection of user experience, technology and design
Commitment to continuous learning and improvement - curious, flexible, scientific
Result-oriented with a drive to finish work and celebrate success
Ability to travel internationally twice a year, for company events up to two weeks long
What we offer you
Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits below, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilisation. Our compensation philosophy is to ensure equity right across our global workforce.
In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, you can ask in the later stages of the recruitment process.
Fully remote working environment - we’ve been working remotely since 2004!
Personal learning and development budget of 2,000USD per annum
Annual compensation review
Recognition rewards
Annual holiday leave
Parental Leave
Employee Assistance Programme
Opportunity to travel to new locations to meet colleagues at ‘sprints’
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: New York
ABOUT US:
AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL.
Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now.
Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale.
We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation.
Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.
THE ROLE:
We’re looking for business operations managers to join the team. You’ll work closely with folks across marketing, sales, operations, and finance on a variety of initiatives to help scale the business in our next phase of growth. You’ll be a generalist who gets in the weeds on all the business and operational aspects of a high-growth startup.
WHAT YOU’LL WORK ON:
- Drive in-depth quantitative analyses to inform our pricing and packaging strategy
- Help spin up our deal desk and streamline enterprise deals
- Support the exec team on various finance functions, from investor relations to large cloud vendor negotiations to identifying cost optimization opportunities
- Implement new tools and processes to enable the GTM org to grow rapidly
- Get creative on a spectrum of ad hoc projects like securing new office space in Manhattan
YOU MAY BE A FIT IF:
- You have 5+ years of experience working in some kind of business function (e.g., banking, consulting, startup)
- You have some exposure to tech and coding (in order to understand our product and customer, work with analytical tools, and build out custom tooling)
- You’re analytical, organized, and detail-oriented, and you hold your output to a high bar of excellence
- You’re eager to learn about a variety of different business functions and juggle many projects at once
- You’re excited about working in person in NYC
New York
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San Francisco, CA | New York City, NY | Seattle, WA
УдалённоleadRemote - United States
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
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