Location: Canada; United States
Workplace: Remote
ABOUT DOCKER
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
_______________________________________________________________________
We are hiring a Legal Operations Analyst to support the day-to-day operations of Docker's lean Legal team: contract operations, outside counsel spend, legal technology administration, and the processes that connect Legal to the rest of the business. You will report to the VP and Head of Legal with direct collaboration and oversight from the Sr. Manager of Legal Operations, and partner with Sales, Deal Desk, Finance, Product, and Engineering.
You will work inside Docker's legal technology stack (Ironclad, Brightflag, Salesforce, and Zip) and the AI-assisted workflows we are actively building, with real ownership of your workstreams and direct influence on how those tools evolve.
RESPONSIBILITIES
- Manage contract intake, routing, approvals, and signature coordination, keeping stakeholders informed throughout the process.
- Review contracts using Docker’s playbooks and AI tools, and flag nonstandard terms or questions for attorney review.
- Support outside counsel billing operations, including invoice review, billing guideline compliance, and accrual tracking.
- Support administration of legal technology platforms, including workflow maintenance, user support, and data quality.
- Use and help improve AI-assisted workflows for contract review, drafting, and intake, including refining prompts and testing outputs against approved playbooks and attorney feedback.
- Support pilots of new AI tools and use cases, gathering user feedback and tracking accuracy, adoption, and time savings.
- Develop and maintain standard operating procedures, templates, and knowledge resources, and train stakeholders on legal technology and responsible AI use.
- Build and maintain dashboards tracking contract volume, cycle times, and outside counsel spend, translating data into actionable insights.
- Support systems integration and process improvement projects with cross-functional teams, identifying opportunities for automation and AI to streamline legal operations.
QUALIFICATIONS
REQUIRED
- 3+ years of experience in legal operations, contract management, a paralegal role, or a related operational role, including experience at a SaaS or technology company.
- Hands-on experience using a contract lifecycle management (CLM) platform, such as Ironclad, Icertis, Agiloft, or DocuSign CLM.
- Experience supporting contract intake, review coordination, or signature processes.
- Hands-on experience applying AI tools to legal or operational tasks, including drafting prompts, reviewing outputs for accuracy, and refining results.
- Strong organizational skills, attention to detail, and the ability to manage competing requests.
- Good judgment about when to follow established procedures and when to ask questions or escalate.
- Clear written and verbal communication skills and the ability to collaborate and follow through on assigned work in a remote team.
- Bachelor’s degree or equivalent professional experience.
PREFERRED
- Direct experience with Ironclad, Wordsmith, Brightflag, or similar systems.
- Familiarity with invoice review, accrual tracking, or outside counsel billing.
- Familiarity with Salesforce, Zip, or other systems connected to legal workflows.
- Experience maintaining reports, playbooks, standard operating procedures, or training materials.
- Experience supporting a small in-house legal team.
- Exposure to SaaS agreements, order forms, or commercial open-source licensing.
- Experience helping test or improve AI-assisted workflows.
This role is a strong fit for someone who enjoys hands-on operational work, likes systems and processes, and wants to expand their use of AI in legal operations. You’ll build expertise with guidance from the Senior Legal Operations Manager, focusing on process execution, technology support, and continuous improvement.
WHAT TO EXPECT
FIRST 30 DAYS
- Complete onboarding and become familiar with Docker’s legal tools, contract playbooks, and AI guidelines.
- Shadow contract intake, invoice review, and routine Ironclad administration.
- Meet key cross-functional partners and learn how Legal supports their teams.
- Begin handling straightforward requests with guidance.
FIRST 90 DAYS
- Handle routine contract intake and initial playbook-based reviews, escalating questions to the appropriate team member.
- Assist with Brightflag invoice review, accrual tracking, and spend reporting.
- Support everyday Ironclad maintenance, user requests, and data cleanup.
- Use existing AI-assisted workflows and help test improvements with team guidance.
ONE YEAR
- Reliably handle routine contract and billing workflows, recognizing when to seek guidance.
- Help stakeholders navigate legal tools, processes, and contract status questions.
- Maintain accurate reports, playbooks, and training resources.
- Contribute to process improvements and AI tool testing that help the team reduce manual work.
Docker does not offer visa sponsorship for this role.
Compensation & Equity
Canada: CA$141,145– CA$201,635 + equity
United States: $103,600 – $148,00 + equity
______________________________________________________________________
POSTING INFORMATION
- Open vacancy: This posting is for an existing open role.
- AI in hiring: Docker may use AI-assisted tools during our recruiting process.
- Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent.
______________________________________________________________________
PERKS & BENEFITS
- Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration.
- Flexibility that fits your life – We trust you to manage your schedule while delivering great work.
- Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break.
- Home office support – Set up your workspace for comfort and success.
- Technology stipend – Equivalent to US$100 net per month to help support your work.
- Learning & development – Annual stipend for conferences, courses, certifications, and continued learning.
- Parental leave – 16 weeks of paid parental leave after six months of employment.
- Equity for all full-time employees – Share in Docker's long-term success as we continue to grow.
- Comprehensive benefits – Medical, retirement, and paid holidays vary by country.
- Docker swag – Because representing the whale never gets old.
Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community.
#LI-REMOTE
Location: San Francisco, CA; Seattle, WA
Workplace: Remote
ABOUT DOCKER
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
_______________________________________________________________________
Docker is looking for a Senior Software Engineer to build AI-powered developer tools and the platform behind them on our AI Developer Tools team. You will work at the intersection of AI, developer experience, and platform engineering, building tools that make Docker's engineers more productive and the platform that lets teams across Docker prototype, deploy, and scale their own AI developer tools.
As a Senior Engineer you will design, build, and operate:
AI-Powered Developer Tools. AI agents and tools that accelerate developer productivity, surface observability insights, and automate operational reviews. You will help teams adopt an AI-native way of working and speed up adoption of tools such as Claude Code and Codex. Examples include AI-powered code review and refactoring assistants, automated test generators and local environment setup tools, deployment pipeline diagnostic agents, and agents that simplify on-call work during incidents.
Self-Service AI Developer Tools Platform. Platform infrastructure that lets product and platform teams across Docker unblock themselves by prototyping, building, and deploying their own AI developer tools, using the patterns and standards the team sets.
You will report to the Senior Manager, AI Developer Tools, and work closely with the team's Principal and Staff engineers, product engineering teams, and platform teams across Docker.
WHAT WOULD MAKE SOMEONE SUCCESSFUL IN THIS ROLE
You are a strong, hands-on engineer who enjoys building at the intersection of AI, developer experience, and platform engineering. You have built software on top of LLMs and AI agents and have a good sense of what works in practice. You care about the people using your tools, and you can tell a tool developers love from one they put up with. You take a feature from a vague request to production: you ask the right questions about requirements, design it sensibly, ship it iteratively, and operate it afterward. You are comfortable in a fast-moving AI landscape and balance quality with pragmatism. You make the engineers around you better through thoughtful code review and by sharing what you learn.
RESPONSIBILITIES
Building and Operating AI Developer Tools
- Design, build, and operate production AI agents for developer productivity, including code review assistants, test generators, deployment diagnostics, and incident response automation
- Integrate LLM providers, agent orchestration frameworks, and MCP servers into reliable tools, following the team's patterns and standards
- Build systems that help Docker's engineers adopt AI-native development tools
- Build integrations between AI developer tools and existing developer infrastructure such as CI/CD pipelines, observability platforms, and deployment systems
- Instrument your tools so the team can measure adoption, effectiveness, and developer satisfaction
Self-Service Platform
- Build and improve platform capabilities, including deployment pipelines (ArgoCD/GitOps), observability integration (Grafana), security controls, and cost management, that help teams ship their own AI tools faster
- Help reduce time-to-production for new products from weeks to days
- Contribute to reliability, security, and performance standards for AI systems, including SLOs, monitoring, and incident response
Design and Delivery
- Take features and services from requirements to production. Ask about scale, users, and constraints before designing, and write down your assumptions
- Write clear design documents for the work you own, and participate in design reviews for the team
- Review code thoroughly and share what you learn with the rest of the team
- Take part in the team's on-call rotation, and help improve alerts, runbooks, and tooling so the next incident is easier
- Follow the AI-assisted engineering practices the team sets: use AI tools critically, validate their output, and stay accountable for what you ship
Collaboration and Growth
- Work with the Senior Manager and the team's Principal and Staff engineers to understand priorities and shape your work
- Partner with Infrastructure, Security, and Data teams on integrations and shared standards
- Help newer engineers get up to speed on the team's tools, patterns, and practices
- Keep up with emerging AI/LLM technologies and agent frameworks, and bring useful findings back to the team
QUALIFICATIONS
REQUIRED
- 6+ years of software engineering experience building and operating production systems
- Hands-on experience building LLM-powered applications, AI agents, or AI-assisted developer tools
- Working knowledge of LLM APIs (OpenAI, Anthropic, and others), prompt engineering, agent orchestration frameworks, and practical uses of AI in software development workflows
- Experience building and operating scalable backend services, distributed systems, or developer-facing platforms
- Experience with cloud-native infrastructure, including Kubernetes, CI/CD pipelines, and observability systems
- Proficiency in Go (preferred), Rust, Java, or Python, with strong software engineering fundamentals
- Experience building developer tools, platform systems, or internal tools that other engineers rely on
- Good product judgment: you weigh developer experience and technical trade-offs, and you ask clarifying questions before committing to a design
- Clear written and spoken communication suited to a remote, async-first company
- Ownership mentality with a bias for action and iterative delivery in ambiguous, fast-moving environments
- Comfortable working autonomously in a distributed, remote-first team
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
PREFERRED
- Experience with MCP (Model Context Protocol) or similar AI agent integration standards
- Background in developer productivity, DevOps, SRE, or platform engineering
- Contributions to open source AI tools, developer tooling, or platform engineering projects
- Experience with GitOps deployment patterns (ArgoCD) or Grafana-based observability
- Familiarity with security and operational practices for production AI systems
- Experience with infrastructure-as-code (Terraform, Pulumi) and major cloud platforms (AWS, GCP, Azure)
WHAT TO EXPECT
FIRST 30 DAYS
- Learn Docker's current AI and developer tooling landscape, the team's services, and the architecture decisions made so far
- Meet your teammates, including the Principal and Staff engineers, the Senior Manager, and key stakeholders in product engineering
- Ship a useful production change in your first weeks, using the team's AI-assisted engineering workflow
- Review existing AI tool prototypes and internal experiments to learn what is working and what is not
- Shadow on-call and learn the operational profile of the team's services
FIRST 90 DAYS
- Own a feature or service from design to production with measurable impact, such as part of an AI code review agent, a deployment diagnostic agent, or an on-call assistant
- Write the design document for work you own and take part in team design reviews
- Contribute to the self-service platform's deployment pipeline, observability integration, or security controls
- Take part in the on-call rotation
FIRST YEAR OUTLOOK
- Be a go-to engineer for one or more of the team's AI tools or platform components
- Have shipped multiple production improvements that Docker engineers use every day, with adoption and effectiveness you can point to
- Have helped teams outside AI Developer Tools build and run their own tools on the platform
- Have taken on larger and more ambiguous work as your scope grows, and helped newer engineers do the same
Docker considers visa sponsorship on a case-by-case basis based on business needs.
Compensation & Equity
United States: $160,900 – $260,700 + equity
______________________________________________________________________
POSTING INFORMATION
- Open vacancy: This posting is for an existing open role.
- AI in hiring: Docker may use AI-assisted tools during our recruiting process.
- Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent.
______________________________________________________________________
PERKS & BENEFITS
- Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration.
- Flexibility that fits your life – We trust you to manage your schedule while delivering great work.
- Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break.
- Home office support – Set up your workspace for comfort and success.
- Technology stipend – Equivalent to US$100 net per month to help support your work.
- Learning & development – Annual stipend for conferences, courses, certifications, and continued learning.
- Parental leave – 16 weeks of paid parental leave after six months of employment.
- Equity for all full-time employees – Share in Docker's long-term success as we continue to grow.
- Comprehensive benefits – Medical, retirement, and paid holidays vary by country.
- Docker swag – Because representing the whale never gets old.
Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community.
#LI-REMOTE
Location: Remote - Colombia ; Remote - Costa Rica ; Remote - Mexico
About Backblaze
Backblaze is the object storage leader in the open cloud movement, fueling customer success with cloud storage built purposefully to unlock budgets, unburden administrators, and unleash innovators. Together with our partners, we're helping customers break free from the restrictive, overpriced legacy solutions that hold them back, and blaze forward with the full power of the open cloud in their hands.
Founded in 2007, we scaled the business with less than $3 million in outside funding until 2021, when we did a traditional IPO on the Nasdaq stock exchange. Today, Backblaze generates over $100m in revenue and is the leading specialized storage cloud—managing over three billion gigabytes of data storage for 500K+ customers in 175+ countries, including businesses, developers, IT professionals, and individuals.
What You’ll Do
First Line of Defense:
Act as the primary point of contact for customer-affecting technical issues and lead real-time incident resolution.
Incident Management:
Adhere to incident management protocols and drive post-mortems to capture process improvements and root-cause analyses.
Monitoring & Alerting:
Monitor and respond to Zabbix, Grafana and Opensearch alerts—taking direct remediation steps or managing seamless escalations.
Infrastructure & Pod Health:
Ensure the health and reliability of storage pods across all sites (defining and refining monitoring alert definitions and completing daily tasks relating to hardware replacement diagnosis, system troubleshooting and executing needed configuration changes via Ansible and a Git repository framework).
Data Center Tech Support:
Serve as an escalation point for Data Center Technicians regarding advanced pod troubleshooting, deployment queries, migration issues, and Ansible playbooks.
Migrations & Provisioning:
Manage pre-deployment configuration and testing for Vault systems, initiate Vault migrations, and perform health checks on migration pods.
Code Deployments: Use Jenkins to deploy code updates across all our environments.
Network & Operations:
Identify and escalate network anomalies, document network IP assignments for upcoming deployments, and track server farm releases/updates.
Automation & Process:
Identify opportunities to automate daily operational tasks and document workflow procedures.
On-Call & Flexibility:
Participate in an on-call rotation shift, with flexibility to work outside standard business hours (including weekends, evenings, or holidays) as operational needs arise.
The Right Fit
Experience:
2–4 years of hands-on experience in Systems Administration, Linux Operations, or SRE environments.
Technical Fundamentals:
Strong foundational understanding of Linux systems, command-line interfaces, network cabling/topologies, and IP network classifications.
Problem Solving & Automation:
Analytical mindset with a drive to learn, troubleshoot complex hardware/software interactions, and automate repetitive tasks.
Communication:
Excellent cross-functional communication and collaboration skills with both technical and non-technical stakeholders.
Diversity, Equity, & Inclusion
Even if you don’t meet 100% of the qualifications listed above, we still encourage you to apply! Learning, developing, and growing are key parts of our culture.
At Backblaze, diversity, equity, and inclusion are core to our values. We are committed to fostering a workplace where all employees feel a sense of belonging regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status.
Backblaze is an Equal Opportunity Employer (EOE) and participates in E-Verify.
Location: San Francisco, CA; Seattle, WA
Workplace: Remote
ABOUT DOCKER
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
_______________________________________________________________________
Docker is looking for a Staff Software Engineer to set the technical direction for key parts of our AI Developer Tools team. You will work at the intersection of AI, developer experience, and platform engineering, building the AI-powered tools and the platform that let teams across Docker prototype, deploy, and scale their own AI developer tools.
As a Staff Engineer you will own the technical design and delivery for two areas:
AI-Powered Developer Tools. Design and build AI agents and tools that accelerate developer productivity, surface observability insights, and automate operational reviews. You will help teams adopt an AI-native way of working and speed up adoption of tools such as Claude Code and Codex. Examples include AI-powered code review and refactoring assistants, automated test generators and local environment setup tools, deployment pipeline diagnostic agents, and agents that simplify on-call work during incidents.
Self-Service AI Developer Tools Platform. Design and build the platform infrastructure that lets product and platform teams across Docker unblock themselves by prototyping, building, and deploying their own AI developer tools. You will set the patterns and standards that let teams experiment, iterate quickly, and graduate successful prototypes into production-ready services.
You will report to the Senior Manager, AI Developer Tools, and work closely with the team's Principal engineers, engineering leadership, product engineering teams, and platform teams across Docker.
WHAT WOULD MAKE SOMEONE SUCCESSFUL IN THIS ROLE
You are a hands-on technical leader who works well at the intersection of AI, developer experience, and platform engineering. You have shipped production systems built on LLMs and AI agents, and you can explain what worked and what did not. You think in platforms: you design something once so that several teams can move faster. You have clear opinions about what makes a developer tool good, and sound judgment about when to build, when to integrate, and when not to do either. You are comfortable in a fast-moving AI landscape and balance technical quality with shipping iteratively. Before you design, you ask about scale, users, and constraints rather than assuming them. You lead through influence and mentorship, and the engineers around you get better because you are on the team.
RESPONSIBILITIES
Technical Leadership and Architecture
- Set technical direction and own the architecture for AI-powered developer tools and the self-service platform within the team's roadmap
- Turn ambiguous problems into clear requirements, plans, and staged decisions. Ask about scale, users, and constraints before designing, and write down your assumptions
- Establish patterns, standards, and best practices for LLM integration, agent development, and production AI systems that the team and partner teams adopt
- Shape platform capabilities including deployment frameworks (ArgoCD/GitOps), observability integration (Grafana), security controls, and operational tooling for AI developer tools
- Design reliable, scalable infrastructure for hosting AI agents and developer tools
- Recommend AI technology choices, LLM provider strategies, and agent orchestration approaches, and make the trade-offs explicit
- Work with the Senior Manager and the team's Principal engineers to align technical decisions with business goals
Systems Design and Implementation
- Design, build, and operate production AI agents for developer productivity, including code review assistants, test generators, deployment diagnostics, and incident response automation
- Build self-service platform capabilities that reduce time-to-production for new AI tools from weeks to days
- Build systems that speed up adoption of AI-native development tools (Claude Code, Codex) across Docker's engineering organization
- Set and meet reliability, security, and performance standards for AI systems, including SLOs, monitoring, incident response, and cost management
- Design integrations between AI developer tools and existing developer infrastructure such as CI/CD pipelines, observability platforms, and deployment systems
- Take part in the team's on-call rotation and use what you learn to improve alerts, runbooks, and tooling
Strategic Impact and Innovation
- Evaluate emerging AI/LLM technologies, developer tooling trends, and agent frameworks, and recommend what Docker should adopt and what it should not build
- Define how we measure AI tool effectiveness, including adoption, productivity gains, and developer satisfaction
- Improve AI tool performance, cost efficiency, and developer experience through architectural improvements
- Contribute to the technical approach for hardening proven internal tools so other teams across Docker can adopt them
- Lead cross-team technical delivery, surface risks early, and work with Infrastructure, Security, and Data on shared standards
Leadership and Mentorship
- Mentor senior engineers on AI/LLM integration patterns, agent development, and platform engineering practices
- Lead design reviews and raise the quality of design and code reviews across the team
- Create reusable patterns, documentation, and architectural decision records (ADRs) that other engineers build on
- Help the team turn good individual AI-assisted engineering practice into shared workflows and controls
- This role may require participation in an on-call rotation to provide support outside of standard business hours, including evenings, weekends, and holidays, as needed.
QUALIFICATIONS
REQUIRED
- 8+ years of software engineering experience, with demonstrated technical leadership on production systems at scale
- Hands-on production experience building LLM-powered applications, AI agents, or AI-assisted developer tools
- Strong understanding of LLM APIs (OpenAI, Anthropic, and others), prompt engineering, agent orchestration frameworks, and practical uses of AI in software development workflows
- Track record of designing and building scalable distributed systems and developer-facing platforms
- Production experience with cloud-native infrastructure, including Kubernetes, GitOps deployment patterns, observability systems, and CI/CD pipelines
- Proficiency in Go (preferred), Rust, Java, or Python, with strong software engineering fundamentals
- Experience designing developer tools, platform systems, or internal tools that other teams rely on
- Track record of clarifying requirements and constraints with stakeholders before committing to a design
- Track record of leading complex initiatives that crossed team boundaries, and of influencing without direct authority
- Strong product and platform judgment: you weigh business outcomes, developer experience, and technical trade-offs
- Clear written and spoken communication suited to a remote, async-first company
- Track record of mentoring other experienced engineers
- Ownership mentality with a bias for action and iterative delivery in ambiguous, fast-moving environments
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
PREFERRED
- Experience with MCP (Model Context Protocol) or similar AI agent integration standards
- Background in developer productivity, DevOps, SRE, or platform engineering
- Contributions to open source AI tools, developer tooling, or platform engineering projects
- Experience evolving an internal platform or tool into a widely adopted, production-grade service
- Knowledge of security, compliance, and operational practices for production AI systems
- Experience with infrastructure-as-code (Terraform, Pulumi) and major cloud platforms (AWS, GCP, Azure)
WHAT TO EXPECT
FIRST 30 DAYS
- Build context on Docker's current AI and developer tooling landscape, including existing AI experiments, LLM provider relationships, and architecture decisions to date
- Meet the Senior Manager, the team's Principal engineers, engineering leadership, and key stakeholders in product engineering to understand needs, pain points, and constraints
- Review existing AI tool prototypes and internal experiments to learn what is working and what is not
- Get hands-on with the team's services and ship a useful production change
- Shadow on-call and learn the operational profile of the team's services
- Work with the Senior Manager to agree on initial technical priorities
FIRST 90 DAYS
- Lead the technical framing and delivery plan for one significant problem, from requirements through to production
- Document the architecture, technology choices, and integration patterns for that work, including ADRs
- Ship a production AI developer tool that sets patterns the team can reuse (for example an AI-powered code review agent, a deployment diagnostic agent, or an on-call assistant)
- Contribute to the technical foundations of the self-service platform: deployment pipeline, observability integration, security controls, and cost management
- Lead design reviews for your area of the roadmap and begin mentoring other engineers
- Take part in the on-call rotation
FIRST YEAR OUTLOOK
- Be the trusted technical lead for your area of AI Developer Tools, and a sought-after partner for teams across Docker
- Deliver at least one material outcome that spans multiple teams or systems
- Have multiple production AI tools demonstrating value across Docker's engineering organization
- Help build a self-service platform that lets multiple teams build, deploy, and operate their own AI tools with little friction
- Define and instrument how the team measures AI tool adoption, effectiveness, and developer productivity impact
- Grow other senior engineers into broader ownership, and reduce the number of decisions that depend on a small set of people
Docker considers sponsorship on a case-by-case basis based on business needs.
Compensation & Equity
United States: $170,350 – $275,550 + equity
______________________________________________________________________
POSTING INFORMATION
- Open vacancy: This posting is for an existing open role.
- AI in hiring: Docker may use AI-assisted tools during our recruiting process.
- Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent.
______________________________________________________________________
PERKS & BENEFITS
- Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration.
- Flexibility that fits your life – We trust you to manage your schedule while delivering great work.
- Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break.
- Home office support – Set up your workspace for comfort and success.
- Technology stipend – Equivalent to US$100 net per month to help support your work.
- Learning & development – Annual stipend for conferences, courses, certifications, and continued learning.
- Parental leave – 16 weeks of paid parental leave after six months of employment.
- Equity for all full-time employees – Share in Docker's long-term success as we continue to grow.
- Comprehensive benefits – Medical, retirement, and paid holidays vary by country.
- Docker swag – Because representing the whale never gets old.
Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community.
#LI-REMOTE
Location: California
Workplace: onsite
Role Overview
We are looking for a Hardware Lab Technician to own the physical side of a large-scale robot data collection operation. You’ll keep the fleet running, build what’s next, and be the person the lab calls when something stops working. This is a hands-on role across research and low-volume production where embodiments, grippers, and camera rigs change fast—and the hardware has to keep up. Day-to-day teleoperation is handled by a dedicated operator team you support; you maintain what they run on and help ensure data quality through reliable, well-calibrated hardware.
Project Details
Location: 100% Onsite (Santa Clara, CA, US)
Employment: Full-time W-2
Shifts: Monday–Friday, 7AM - 3:30PM or 9AM - 5:30PM
Start Date: ASAP
Contract Duration: 12-month contract with possibility of extension
Rate: $40 per /hour
What You’ll Do
Build, wire, and bring up data collection stations — robot arms, multi-camera rigs, workstations, teleoperation hardware, and cable management that survives daily operator use.
Keep the fleet running: daily checks, preventive maintenance, calibration routines, and diagnosing faults on arms, hands, and sensors.
Swap and integrate end-effectors and grippers, dexterous hands, force/torque and tactile sensors, and RGB-D cameras.
Run calibration and firmware procedures across the fleet, and catch drift before it reaches the data.
Assemble and iterate prototype hardware coming out of our mechanical and electrical engineers — printed parts, off-the-shelf components, vendor-fabricated parts, and custom harnesses.
Soldering, crimping, connectorization, harness building, and PCB rework support at the bench.
Own the lab's physical state: spares and consumables inventory, parts kitting, bench and tool organization, and shipping, returns, and RMAs with vendors.
Support teleoperators on hardware issues during live collection — triage fast, fix or escalate, and get the station back up.
Document what you do. Build sheets, maintenance logs, calibration records, and hardware SOPs the next technician can follow.
Help bring up new embodiments and new stations alongside engineers and researchers.
What we need to see
3+ years hands-on technician experience in a lab, prototyping, or low-volume build environment — robotics, medical devices, aerospace, semiconductor equipment, or similar.
AS in a technical field, a relevant trade or technical certificate, or equivalent hands-on experience.
Mechanical assembly fundamentals: fasteners and torque, bearings, belts, linkages, and the ability to read CAD and mechanical drawings (Onshape, SolidWorks, or similar).
Electrical hands: soldering including basic SMD rework, crimping and connectorization, harness building, and confident use of a multimeter and oscilloscope.
Comfortable in Linux at the command line — SSH into a workstation, run a calibration script, read a log, and tell us what it said.
Experience with motors, encoders, and sensor integration, and an understanding of what a bad ground or a marginal cable does to a data stream.
Methodical and self-documenting. An undocumented fix is a future outage.
Comfortable with ambiguity and frequent change, and able to prioritize when more than one lab needs you at the same time.
Able to work on-site in Santa Clara, with flexibility on shift coverage as the labs run extended hours.
Ways to stand out from the crowd
Humanoid or bimanual platforms (Unitree, Fourier, ALOHA/ARX-class rigs) and dexterous hands.
Maintenance and calibration on collaborative or industrial arms — UR, Franka, xArm, ARX, or equivalent.
Multi-camera rig build and calibration; RealSense, ZED, or Orbbec-class depth cameras.
Running and maintaining FDM or SLA printers, and designing your own simple fixtures and adapters.
Light scripting in Python or bash to automate a repetitive bench or calibration task.
Experience in a high-throughput lab or production line where uptime or yield was a number someone tracked.
Vendor-facing experience: RMAs, lead times, and spares planning.
Job reference: #L1-CC1
Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.
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As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.
Location: Espoo
Workplace: Hybrid
ROLE HIGHLIGHTS
- Director, Learning & Talent Development
- Location: Espoo, Finland
- Department: People & Culture
- Reports to: VP, People
- Employment type: Permanent
- Workplace model: Hybrid
- Employment is subject to applicable security screening (incl. SUPO, where required)
WHY THIS ROLE MATTERS
As Director, Learning & Talent Development, you'll build ICEYE's global L&D and talent development function from the ground up. This is a 0→1 leadership role: you will turn business strategy into the leadership practices, capabilities and talent systems that help us stay high-performing as we scale, with the strategy and the hands-on delivery both in your hands. You'll work closely with executive leadership, People Business Partners and leaders across Engineering, Hardware, Satellite Operations, Commercial and corporate functions.
WHO WE ARE
ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth.
ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system.
ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future.
Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific.
YOUR DAY-TO-DAY RESPONSIBILITIES
- Define ICEYE's global L&D and talent development strategy and operating model, and decide what to build internally, what to buy or enable through technology and partners, and what to keep lightweight
- Design and launch leadership and manager development, from first-time managers to senior leaders and executives, and facilitate workshops yourself, especially in the early stages
- Partner with People Business Partners and business leaders to build learning paths, career frameworks, talent reviews, succession planning and internal mobility for technical, commercial, operational and corporate teams
- Create a consistent global onboarding experience focused on time-to-productivity, connection and belonging, and set up the learning technology and measurement to show what is working
- Coach senior leaders through organisational change, and help them build resilience, psychological safety and sustainable ways of working without losing accountability or performance
WHAT WE'RE LOOKING FOR
MUST HAVES
- 8+ years of progressive People/HR experience, with significant depth in Learning & Development, Talent Development, Leadership Development or Organizational Effectiveness
- Proven experience building L&D or talent infrastructure from scratch, taking an idea from strategy through design, pilot, launch and scale
- Experience in a fast-growing, international technology, engineering, hardware or scale-up environment, working in a matrixed organisation
- Strong executive presence, exceptional facilitation skills, and the confidence to challenge leaders and influence without formal authority
- A data-informed approach to measuring learning impact, such as manager effectiveness, internal mobility, retention of critical talent and time-to-productivity
- Professional fluency in English
NICE TO HAVES
- Experience selecting and implementing learning technology and external partners
- Experience with organisational change and building resilience in high-pressure, technically complex environments
WORKING AT ICEYE
At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win.
HOW WE WORK (OUR VALUES)
Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way.
- Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions.
- See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others.
- Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions.
- Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift.
- Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins.
BENEFITS
Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process.
OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION
We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table.
We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help.
Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.
Location: Valencia
Workplace: OnSite
ROLE HIGHLIGHTS:
- Test Engineer
- Location: Valencia
- Reports to: Laboratory Lead and Test Architect
- Employment type: Permanent
- Workplace model: Onsite
- Employment is subject to applicable security screening (incl. SUPO, where required)
WHY THIS ROLE MATTERS:
As our Lab Test Engineer, you’ll plan, run, automate and document the lab’s tests across simulation, signal capture, playback and hardware in the loop, so results are repeatable and trusted. ICEYE is building a space-based RF constellation covering 100 MHz to 30 GHz alongside its SAR fleet, and the Experimentation Lab in Valencia is where we develop, simulate and validate that capability. We simulate the constellation and its emitters end to end, capture real signals from real hardware, and generate and play back signals through a channel simulator for end-to-end runs and algorithm validation.
A lab that only its builders can operate becomes shelfware. Specialists will build the simulation, the capture system and the playback chain, and you’ll turn those into tests that run reliably, on schedule, with traceable results. The role covers the full breadth of the lab: setting up hardware, running campaigns, automating procedures, keeping equipment calibrated and inventoried, and producing evidence that engineers and customers can rely on.
You’ll have an early seat in a new lab, with direct influence on how ICEYE builds and proves this capability.
WHO WE ARE
ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth.
ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system.
ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future.
Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific.
YOUR DAY-TO-DAY RESPONSIBILITIES
- Plan and run tests across all three lab missions: end-to-end simulation runs, emitter capture sessions, playback and channel simulator campaigns, flatsat and receiver tests, and algorithm validation.
- Write procedures and automate them: turn manual setups into scripted, repeatable test sequences, and add them to regression so each software or firmware build is checked.
- Set up and maintain the lab: instruments, SDRs, cabling, fixtures, the screened enclosure and emitter bays, network and compute. Track calibration, configuration and inventory so every result records what produced it.
- Manage test data: keep recordings, run outputs and metadata organised, searchable and backed up, with the provenance to reproduce a result.
- Analyse and report: compare results to expectations and to previous runs, flag regressions and anomalies, write concise test reports, and log issues with the evidence needed to fix them.
- Support campaigns in the field and in the air, customer and partner demonstrations, and the reproduction of on-orbit anomalies on the ground.
- Run the lab safely: RF safety, ESD, equipment handling, access control and the handling rules for controlled material.
WHAT WE’RE LOOKING FOR
Must haves:
- Hands-on test experience in an electronics, RF, space or comparable hardware lab: test setups, procedures, execution and reporting
- Comfort with lab instruments (oscilloscopes, spectrum analysers, signal generators, power supplies) and basic RF practice (connectors, attenuators, cable loss)
- Scripting for test automation and data analysis, typically Python
- An organised and rigorous way of working: you write things down, version them, and can reproduce last month’s result
- Clear written English
Nice to haves:
- Satellite AIT, flatsat or hardware-in-the-loop testing
- SDR experience, RF capture or signal analysis
- Test automation frameworks, CI pipelines, instrument control (SCPI/VISA)
- Test data management, databases, dashboards
- Verification under a formal process (ECSS or similar)
- Experience setting up a lab from scratch: equipment selection, layout, safety, calibration programme
- Spanish, for working with local suppliers and facilities
- Eligibility for national security clearance (an advantage)
What success looks like
- 6 months: lab equipment is inventoried, calibrated and configuration-tracked, and capture and playback sessions run from written procedures, with data stored and findable.
- 12 months: core tests are automated and running in regression, test reports are produced routinely, and you’ve supported the first field campaign.
- 24 months: the lab runs as a service. Other teams book and run tests with your procedures, and results arrive with the evidence attached.
APPLICATION PROCESS
- Application Screening
- TA call
- Hiring Manager call
- Onsite interview
WORKING AT ICEYE
At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win.
HOW WE WORK (OUR VALUES)
Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way.
- Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions.
- See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others.
- Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions.
- Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift.
- Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins.
BENEFITS
Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process.
OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION
We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table.
We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help.
Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.
Location: Valencia
Workplace: OnSite
ROLE HIGHLIGHTS:
- Software Engineer, Simulation and Modeling
- Location: Valencia
- Reports to: Reports to: Laboratory Lead & Test Architect
- Employment type: Permanent
- Workplace model: Hybrid
- Employment is subject to applicable security screening (incl. SUPO, where required)
WHY THIS ROLE MATTERS:
As a Software Engineer, Simulation and Modeling, you’ll build the software world the satellites live in (orbits, emitters, signals, truth and scoring) so the whole team can ask “what if” and get a number back. ICEYE is building a space-based RF constellation covering 100 MHz to 30 GHz alongside its SAR fleet, and the Experimentation Lab in Valencia is where we develop, simulate and validate that capability.
Customers and our own engineers ask questions we currently answer by hand-waving: what revisit a cluster gives over an area, how many emitters we detect in a crowded scene, how geolocation accuracy moves with cluster spacing or timing error, and what a next-generation architecture choice buys. The answers need a simulation framework that models the constellation and the emitters end to end, generates the signals each satellite would see, and scores what comes out against a known truth. It doesn’t exist yet. You’ll build it, and it will become a tool used by engineers, analysts and customer-facing staff.
You’ll work daily with the lab, signal processing and ground segment teams, and you’ll have direct influence on how ICEYE builds and proves this capability.
WHO WE ARE
ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth.
ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system.
ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future.
Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific.
YOUR DAY-TO-DAY RESPONSIBILITIES
- Model the constellation: orbit propagation, cluster geometry, attitude and pointing, antenna beams, access and contact windows, with spacing and timing as swept variables.
- Model the emitters and the theatre: emitters as state machines with real antenna patterns, scan behaviour, modes and duty cycles, placed at order-of-battle density. Start from the lab’s real captures and extend synthetically.
- Generate the signals: propagation and link modelling (path loss, delay, Doppler, ionosphere in the low band) and synthetic I/Q per satellite, at a fidelity the RF hardware and the processing chain can consume.
- Own the truth together with the processing team: a truth ledger of every simulated emission, position and time, kept out of reach of the system under test, plus the association and scoring that turn a run into detection rate, false-alarm rate, geolocation accuracy and latency.
- Drive the hardware together with the RF team: provide the geometry and timing the channel simulator and playback hardware need, so a recorded radar can be heard by three simulated satellites with the right delays and Doppler.
- Make it a platform: versioned scenarios, seeded and reproducible runs, provenance on every result, tests, CI, documentation and an interface that non-authors can use.
- Answer real questions: capacity, revisit and performance studies for the payload, product and sales teams, and architecture trades for future generations.
WHAT WE’RE LOOKING FOR
Must haves:
- Strong software engineering in Python (and ideally a compiled language): clean architecture, version control, testing, code review, packaging
- Experience building a simulation or model of a physical system that others used, and validating it against measurement or real data
- Numerical and scientific computing: NumPy/SciPy or equivalent, vectorisation, performance awareness
- Working knowledge of at least one of orbital mechanics and access computation, RF link budgets and propagation, or signal processing
- Habits that make results reproducible: seeds, configuration management, data provenance
- Clear written and spoken English
Nice to haves:
- Constellation, mission or system-level modeling and simulation (STK, Orekit, GMAT, Basilisk or in-house)
- Radar, EW or emitter modeling; scenario or order-of-battle generation
- TDOA/FDOA/AoA geolocation or estimation theory
- Synthetic I/Q generation, GPU acceleration, or real-time and hardware-in-the-loop interfaces
- Cloud-native deployment, containers, workflow orchestration, and data stores for large runs
- A simulation framework of yours that outlived your involvement in it
- Eligibility for national security clearance (an advantage)
What success looks like:
- 6 months: a first end-to-end scenario (cluster geometry, a handful of emitters, synthetic I/Q per satellite, truth logged, a first score) is used to answer at least one real capacity or performance question.
- 12 months: a reproducible, documented framework runs without you on the team; geometry drives the RF channel simulator; real captures enter scenarios alongside synthetic emitters.
- 24 months: the simulation is part of the end-to-end loop with the flatsat and ground pipeline, runs in regression, and backs performance numbers we put in front of customers.
APPLICATION PROCESS
- Application Screening
- TA call
- Hiring Manager call
- Onsite interview
WORKING AT ICEYE
At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win.
HOW WE WORK (OUR VALUES)
Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way.
- Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions.
- See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others.
- Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions.
- Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift.
- Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins.
BENEFITS
Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process.
OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION
We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table.
We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help.
Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.
Location: Valencia
Workplace: OnSite
ROLE HIGHLIGHTS:
- RF Test Engineer
- Location: Valencia
- Reports to: Laboratory Lead & Test Architect
- Employment type: Permanent
- Workplace model: Hybrid
- Employment is subject to applicable security screening (incl. SUPO, where required)
WHY THIS ROLE MATTERS:
As an RF Test Engineer, you’ll capture real signals from real hardware and build the system that plays them back through a channel simulator. ICEYE is building a space-based RF constellation covering 100 MHz to 30 GHz alongside its SAR fleet, and the Experimentation Lab in Valencia is where we develop, simulate and validate that capability.
Our processing, on the ground today and on board from Gen 2, is only as good as the signals we test it against. Today we have some synthetic I/Q, a few captures and a lot of assumptions. You’ll help us build a library of real emitter signals with known truth, plus a way to replay them as a satellite would hear them, with LEO Doppler, delay, path loss and interference, coherently across several satellites at once.
You’ll be one of the first engineers in the lab, with direct influence on how ICEYE builds and proves this capability.
WHO WE ARE
ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth.
ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system.
ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future.
Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific.
YOUR DAY-TO-DAY RESPONSIBILITIES
- Capture real emissions: bring emitters into the lab (marine radars, AIS and ADS-B transponders, satcom terminals, partner-supplied equipment), operate them in a controlled, screened setup, and record them at the right bandwidth, dynamic range and timing accuracy. Extend this to field and airborne collection.
- Characterise captures: turn raw recordings into library entries with I/Q in a documented format (SigMF or equivalent), measured parameters (PRI, pulse width, scan, chirp, hopping, modulation), metadata and truth, so someone who wasn’t there can reuse them.
- Build the generate and playback chain: specify, integrate and calibrate the RF record and playback system (SDRs, vector signal generators, arbitrary waveform generators and multi-channel playback), from a single emitter up to a dense scene.
- Build the channel simulator path: apply per-satellite delay, Doppler, Doppler rate, path loss, multipath and interference to recorded and synthetic signals, phase-coherently across channels and driven by geometry from the simulation software.
- Develop test hardware and software: fixtures, RF interconnect, switching, attenuation and calibration paths, plus the Python code that controls and automates your instruments, so every measurement runs as a script.
- Feed the end-to-end loop: inject signals into the flatsat, receivers and processing chain, work with the simulation team so RF stimulus and simulated truth line up in time and frequency, and support algorithm validation campaigns.
- Keep operations lawful and safe: work with the regulator, site safety and partners on screened operation, test identities (MMSI, ICAO address) and RF exposure limits for everything that transmits.
WHAT WE’RE LOOKING FOR
Must haves:
- Hands-on RF measurement and signal capture experience with spectrum and real-time signal analysers, vector signal generators, SDRs and oscilloscopes, and the judgement to spot a clipped, aliased or contaminated capture
- Experience building or integrating an RF record and playback, signal generation or hardware-in-the-loop test system
- Solid DSP fundamentals: sampling, I/Q, filtering, channelisation, Doppler and timing effects, and how each shows up in a recording
- Python (or equivalent) for instrument control, automation and analysis, with comfort in SCPI/VISA and SDR APIs
- Calibration discipline: reference planes, path loss and phase characterisation, and an uncertainty you can defend
- Clear written and spoken English
Nice to haves:
- Radar, ELINT, ESM or EW background, especially with pulsed and frequency-agile emitters
- Experience with channel emulators or fading simulators (for example PROPSIM or Vertex) or a home-built equivalent, and satellite or LEO link simulation
- Multi-channel phase-coherent systems, precision timing (GPSDO, PPS, White Rabbit) or TDOA/FDOA test
- GNU Radio, MATLAB, UHD, VITA 49, SigMF
- Microwave work above 18 GHz, anechoic and screened-room operation, EMC test
- Field collection campaigns from masts, vehicles or aircraft
- Eligibility for national security clearance (an advantage)
What success looks like:
- 6 months: your first lab emitters (marine radar, AIS) are captured, characterised and in the library with truth, and a playback path replays a capture into a receiver repeatably.
- 12 months: multi-channel playback runs through a channel simulator driven by simulated geometry, supports at least one algorithm validation campaign, and your first field collection is complete.
- 24 months: the processing teams use the library routinely, and a calibrated, automated stimulus chain is part of the end-to-end lab loop.
APPLICATION PROCESS
- Application Screening
- TA call
- Hiring Manager call
- Onsite interview
WORKING AT ICEYE
At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win.
HOW WE WORK (OUR VALUES)
Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way.
- Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions.
- See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others.
- Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions.
- Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift.
- Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins.
BENEFITS
Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process.
OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION
We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table.
We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help.
Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.
Location: United States (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
This is a remote position. We are seeking candidates in US and Canada.
The Opportunity:
We build
Tempo
, the open-source distributed tracing backend behind Grafana Cloud Traces and Grafana Enterprise Traces (GET). Tempo makes it easy to search traces, generate metrics from spans, and connect tracing data with logs, metrics, and profiles across the Grafana stack.
2026 is an inflection point for Tempo. After a major architectural upgrade and the launch of TraceQL metrics, we are shifting from foundational work to product and operational excellence, and evolving Tempo from a SaaS database into a platform that powers Grafana’s next generation of observability products (App Observability, Asserts, Traces Drilldown, and AI-driven assistants).
Over the next year, you will help us:
Make Grafana Cloud Traces “just work” for customers by eliminating rough edges, confusing limits, and hidden failure modes.
Achieve operational excellence at scale as we grow from close to 50 cells today into triple digits this year, with autoscaling, parameterized rollouts, and aggressive toil reduction.
Evolve Tempo into a platform enabler: higher-density APIs, trace aggregation, TraceQL metrics math, and machine/LLM-friendly interfaces that downstream products and agents can build on.
Push performance further: faster query latency at hundreds of MB/s ingestion and performant 30-day query ranges to match competitors.
Prepare Tempo for an agent-driven world: larger, burstier, higher-cardinality workloads, and new categories of AI-powered workflows, such as assistant-driven triage and “why is this slow?”- style investigations.
What You’ll Be Doing:
As a Senior Engineer on Tempo, you will own technical direction on the hardest problems in our roadmap and raise the bar across the team.
Deliver significant technical projects.
Take well-scoped, multi-month initiatives from problem framing through rollout, e.g., trace aggregation APIs, Limitless Tempo, autoscaling cells and customer limits, or query engine improvements. Partner with Staff engineers and the tech lead on broader, cross-team direction.
Own major components of Tempo.
Contribute to and own parts of ingestion, storage, query, and metrics generation. Write and present design docs, participate in design reviews, make sound trade-offs on performance, cost, and complexity, and document the “why” for the team.
Build APIs for humans and agents.
Help shape the next generation of Tempo’s interfaces (structured, deterministic, discoverable) so that Act 3 products, LLM-driven assistants, and external integrators can build on Tempo reliably.
Contribute to operational excellence.
Own outcomes for the areas you build against concrete SLOs (P99 write latency, incident recurrence, TCO per ingested GB), and help move the team toward Zero Ops through automation, parameterized rollouts, and actionable alerts.
Collaborate with Product and sibling teams.
Work with PMs and with App Observability, Asserts, Drilldown, and Grafana Assistant teams to understand how Tempo gets consumed and to ship what unblocks them.
Mentor and support engineers.
Raise the bar through thorough code review, constructive design feedback, and pairing, especially with junior and mid-level engineers.
Participate in on-call
for the services you help build, and contribute to incident response and post-incident learning.
Contribute to open source.
Tempo is OSS. You will engage the community, review external contributions, and contribute to the project in the open.
We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google.
Example problems you could work on
These are the kinds of projects landing in 2026:
Trace aggregation and higher-density APIs:
extend TraceQL metrics, design LLM-friendly response types, and make Tempo a first-class data source for Grafana’s AI assistant.
Autoscaling end-to-end:
customer limits and Tempo cells, with hysteresis, predictive scaling for spikes, and safe scale-down.
Agent-scale ingestion and query:
guardrails for bursty, high-cardinality, agent-generated workloads.
Query performance:
new data formats, smarter query pipelines, targeted optimizations for common Drilldown and Traces workflows, and 30-day query ranges.
Rollouts and multi-cell operations:
parameterized rollouts, push-button deploys, and the tooling to grow safely into triple-digit cell counts without a proportional increase in alert noise.
Limits and self-service:
drive customer-facing configuration and observability so escalations trend toward zero.
What Makes You a Great Fit:
Technical ownership.
A track record of delivering complex, multi-month projects that spanned design, delivery, and operations, and of helping the teammates around you grow.
Solid systems experience.
Significant hands-on experience building and operating distributed data systems in production: ingestion pipelines, storage engines, query execution, or similar.
Strong software craftsmanship.
You write clean, robust, performant software that others can maintain, and you know when to optimize vs. when to ship.
Strong Go, or a path to it.
We write Tempo in Go. Solid experience in other systems languages (Rust, C, C++) translates well.
Operational mindset.
You’ve owned production services, carried a pager, reduced toil, and treated SLOs as a product feature, not a chore.
Customer focus and pragmatism.
You break complex problems into short feedback loops: analyze, design, deliver an MVP, learn, iterate.
Collaboration and clear writing.
You contribute through design docs, reviews, and shipped code, and you communicate clearly in a fully remote, asynchronous environment.
Bonus Points For:
Experience with tracing, OpenTelemetry, or large-scale observability systems.
Experience designing query languages, SQL/TraceQL-like engines, or APIs intended to be consumed programmatically (by services or agents).
Experience with columnar storage formats (e.g., Parquet) or purpose-built on-disk formats for analytical workloads.
Experience operating multi-tenant, multi-cell SaaS infrastructure at scale on Kubernetes.
Experience building for AI/LLM consumers: structured APIs, metadata/discovery endpoints, deterministic outputs, evaluation harnesses.
Open-source contribution or maintainership, and comfort engaging a community in the open.
Experience as an on-call user of Grafana, Prometheus, Loki, or Tempo in a previous role (or on a homelab).
Experience in a fully remote, globally distributed team.
How we work
We are a remote-first team that meets regularly over video and does most of our work asynchronously, in writing. We value creativity, diverse perspectives, and clear communication. Tempo is relied upon by prominent global organizations to monitor critical applications and infrastructure, and we expect everyone on the team, including our senior engineers, to contribute ideas that make it a more reliable, more useful, and more loved product.
In US, the OTE (On-Target Earnings)/Base compensation range for this role is USD $154,445 - $185.334. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
Location: Canada (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
This is a remote position. We are seeking candidates in US and Canada.
The Opportunity:
We build
Tempo
, the open-source distributed tracing backend behind Grafana Cloud Traces and Grafana Enterprise Traces (GET). Tempo makes it easy to search traces, generate metrics from spans, and connect tracing data with logs, metrics, and profiles across the Grafana stack.
2026 is an inflection point for Tempo. After a major architectural upgrade and the launch of TraceQL metrics, we are shifting from foundational work to product and operational excellence, and evolving Tempo from a SaaS database into a platform that powers Grafana’s next generation of observability products (App Observability, Asserts, Traces Drilldown, and AI-driven assistants).
Over the next year, you will help us:
Make Grafana Cloud Traces “just work” for customers by eliminating rough edges, confusing limits, and hidden failure modes.
Achieve operational excellence at scale as we grow from close to 50 cells today into triple digits this year, with autoscaling, parameterized rollouts, and aggressive toil reduction.
Evolve Tempo into a platform enabler: higher-density APIs, trace aggregation, TraceQL metrics math, and machine/LLM-friendly interfaces that downstream products and agents can build on.
Push performance further: faster query latency at hundreds of MB/s ingestion and performant 30-day query ranges to match competitors.
Prepare Tempo for an agent-driven world: larger, burstier, higher-cardinality workloads, and new categories of AI-powered workflows, such as assistant-driven triage and “why is this slow?”- style investigations.
What You’ll Be Doing:
As a Senior Engineer on Tempo, you will own technical direction on the hardest problems in our roadmap and raise the bar across the team.
Deliver significant technical projects.
Take well-scoped, multi-month initiatives from problem framing through rollout, e.g., trace aggregation APIs, Limitless Tempo, autoscaling cells and customer limits, or query engine improvements. Partner with Staff engineers and the tech lead on broader, cross-team direction.
Own major components of Tempo.
Contribute to and own parts of ingestion, storage, query, and metrics generation. Write and present design docs, participate in design reviews, make sound trade-offs on performance, cost, and complexity, and document the “why” for the team.
Build APIs for humans and agents.
Help shape the next generation of Tempo’s interfaces (structured, deterministic, discoverable) so that Act 3 products, LLM-driven assistants, and external integrators can build on Tempo reliably.
Contribute to operational excellence.
Own outcomes for the areas you build against concrete SLOs (P99 write latency, incident recurrence, TCO per ingested GB), and help move the team toward Zero Ops through automation, parameterized rollouts, and actionable alerts.
Collaborate with Product and sibling teams.
Work with PMs and with App Observability, Asserts, Drilldown, and Grafana Assistant teams to understand how Tempo gets consumed and to ship what unblocks them.
Mentor and support engineers.
Raise the bar through thorough code review, constructive design feedback, and pairing, especially with junior and mid-level engineers.
Participate in on-call
for the services you help build, and contribute to incident response and post-incident learning.
Contribute to open source.
Tempo is OSS. You will engage the community, review external contributions, and contribute to the project in the open.
We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google.
Example problems you could work on
These are the kinds of projects landing in 2026:
Trace aggregation and higher-density APIs:
extend TraceQL metrics, design LLM-friendly response types, and make Tempo a first-class data source for Grafana’s AI assistant.
Autoscaling end-to-end:
customer limits and Tempo cells, with hysteresis, predictive scaling for spikes, and safe scale-down.
Agent-scale ingestion and query:
guardrails for bursty, high-cardinality, agent-generated workloads.
Query performance:
new data formats, smarter query pipelines, targeted optimizations for common Drilldown and Traces workflows, and 30-day query ranges.
Rollouts and multi-cell operations:
parameterized rollouts, push-button deploys, and the tooling to grow safely into triple-digit cell counts without a proportional increase in alert noise.
Limits and self-service:
drive customer-facing configuration and observability so escalations trend toward zero.
What Makes You a Great Fit:
Technical ownership.
A track record of delivering complex, multi-month projects that spanned design, delivery, and operations, and of helping the teammates around you grow.
Solid systems experience.
Significant hands-on experience building and operating distributed data systems in production: ingestion pipelines, storage engines, query execution, or similar.
Strong software craftsmanship.
You write clean, robust, performant software that others can maintain, and you know when to optimize vs. when to ship.
Strong Go, or a path to it.
We write Tempo in Go. Solid experience in other systems languages (Rust, C, C++) translates well.
Operational mindset.
You’ve owned production services, carried a pager, reduced toil, and treated SLOs as a product feature, not a chore.
Customer focus and pragmatism.
You break complex problems into short feedback loops: analyze, design, deliver an MVP, learn, iterate.
Collaboration and clear writing.
You contribute through design docs, reviews, and shipped code, and you communicate clearly in a fully remote, asynchronous environment.
Bonus Points For:
Experience with tracing, OpenTelemetry, or large-scale observability systems.
Experience designing query languages, SQL/TraceQL-like engines, or APIs intended to be consumed programmatically (by services or agents).
Experience with columnar storage formats (e.g., Parquet) or purpose-built on-disk formats for analytical workloads.
Experience operating multi-tenant, multi-cell SaaS infrastructure at scale on Kubernetes.
Experience building for AI/LLM consumers: structured APIs, metadata/discovery endpoints, deterministic outputs, evaluation harnesses.
Open-source contribution or maintainership, and comfort engaging a community in the open.
Experience as an on-call user of Grafana, Prometheus, Loki, or Tempo in a previous role (or on a homelab).
Experience in a fully remote, globally distributed team.
How we work
We are a remote-first team that meets regularly over video and does most of our work asynchronously, in writing. We value creativity, diverse perspectives, and clear communication. Tempo is relied upon by prominent global organizations to monitor critical applications and infrastructure, and we expect everyone on the team, including our senior engineers, to contribute ideas that make it a more reliable, more useful, and more loved product.
In Canada, the OTE (On-Target Earnings)/Base compensation range for this role is CAD $164,490 - $197,389. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
Location: Europe; New York; Toronto
Workplace: Remote
WHO ARE WE?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
Key Overview:
As a Member of Technical Staff in Post-Training, you will train our large language models (LLMs) with reinforcement learning and develop methods that help them generalize beyond the distribution they were trained on. You will design the training recipes, environments, and evaluations that tell us whether a model has truly learned a skill or has only fitted its training tasks, and turn what works into the recipes behind our production models. You will work closely with the post-training data infrastructure, evaluation, and pre-training teams.
Key Responsibilities
- Design, run, and analyse large-scale RL post-training experiments (e.g., RLHF, RL from verifiable rewards).
- Research and develop methods that improve out-of-distribution generalization, such as reward design, environment and task diversity, curricula, and regularization.
- Build held-out evaluations that measure generalization to unseen tasks, domains, and formats, and that catch reward hacking and benchmark overfitting.
- Diagnose training dynamics and failure modes, including instability, reward over-optimization, and capability regressions.
- Turn successful research into robust, reproducible training recipes for production models.
Qualifications
- Strong research and software engineering skills, with hands-on experience training LLMs.
- Experience applying reinforcement learning to LLMs (e.g., PPO, GRPO, RLHF, RLVR), ideally at scale.
- Track record of work on generalization, robustness, or distribution shift, through publications or shipped models.
- Rigorous experimental practice: clean ablations, careful controls, and sound conclusions from noisy results.
- Experience with distributed training (e.g., JAX, PyTorch, FSDP, Megatron) is a plus.
- Excellent communication skills.
- Deep understanding of data quality principles and best practices: demonstrates willingness to dive deep into data while possessing strong intuition for assessing the quality of datasets and anticipating how different data characteristics will impact model training outcomes.
Working Location
This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role.
FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS:
- A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
- Full health and dental benefits, including a separate budget for mental health.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top-up for up to 6 months, for either parent.
- Annual enrichment benefits:
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
Education & learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days!)
- Budget for traveling to other offices if you are remote, plus an annual company offsite.
HOW AND WHERE WE WORK:
- Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
- For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
- For those not near an office: a co-working benefit so you can work alongside others in your city.
- Everyone receives a $500 home office stipend to set up your workspace properly.
If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.
We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.
We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
Location: Germany; London; Munich; Zurich; Berlin
Workplace: Hybrid
Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US.
As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations.
Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow.
THE ROLE
We’re hiring Solutions Engineers to build Synthesia’s pre-sales function for the DACH region. This is a founding role: you’ll be one of the first SEs, shaping the playbook, tooling and best practices as we scale, not following an established model. If you’re someone who is excited by building whilst scaling, we’d love to hear from you.
As a Solutions Engineer at Synthesia, you will partner with Account Executives, Customer Success and Product Marketing to run discovery, deliver demos, scope POCs and design the technical solution for each deal. You will be a trusted advisor focused on the value customers get from Synthesia, and you’ll take what you learn in the field back to Product.
This is an incredible opportunity to join us as we become a multi-product company for the first time, and continue to scale across DACH.
WHAT YOU'LL DO
- Co-plan and support discovery calls with your AE to understand customer requirements, technical environment, and business challenges.
- Design and execute repeatable demo methodologies that prove Synthesia's business value quickly, whether the customer is deploying Studio at scale, building Roleplay Sessions for skill uplift, or integrating Interactive Avatars into their product.
- Build and maintain strong working knowledge of Synthesia's platform capabilities, roadmap, and positioning across all product lines, so you can speak to the use cases that drive value
- Deliver demonstrations that speak to customer problems and tell a credible story of why Synthesia is the right solution.
- Identify technical objections and integration questions as they come up, working with your AE and the broader ecosystem to find a path forward.
- Contribute your assessment of technical fit and opportunity risk to help your AE shape account and deal strategy.
- Keep your deal team and manager informed on deal status, timeline, and technical dependencies.
- Identify, build relationships with, and actively enable technical champions within customer organizations so they can advocate for Synthesia internally.
- Provide technical guidance on platform capabilities, API and SDK integrations, security, compliance topics (SOC 2, GDPR, enterprise identity), and scalability for global deployments, troubleshooting issues and validating integrations with LMS, HCM, and content systems as they surface.
- Partner with Enablement to complete certifications, stay current on new releases, and keep your demo and objection-handling skills sharp.
WE’D LOVE TO HEAR FROM YOU IF YOU HAVE
- 2+ years of pre-sales, solutions engineering, or customer-facing technical experience in a SaaS environment (or equivalent technical customer-facing experience).
- Delivers a strong standard demo aligned to the discovery points and agenda set with the AE, with a solid grasp of core demo technique (e.g., Tell-Show-Tell).
- Applies established solution designs and best practices to the customer's use case, working with core ecosystem functions (Product, Customer Success) as the deal requires.
- Identifies and surfaces deal risk and next steps based on what the customer tells you, escalating clearly to your AE so it gets actioned.
- Working knowledge of MEDDPICC and Command of the Message, and can articulate why Synthesia is a fit for the prospect.
- Resourceful: knows how to find the right person or tool internally, and is building their own network across the GTM organization.
- Comfortable with the technical fundamentals in at least one area (creation flows, APIs, integrations, security, compliance) and eager to build depth quickly.
- Self-motivated and organized, able to manage a growing book of POCs, demos, and customer conversations while hitting deadlines.
- Willing to travel for customer discovery and on-site demos as needed.
- You like staying ahead of the AI-native learning and enablement space, so you can credibly discuss how customers are shifting from static methods to interactive practice and measurable skill development.
- Strong written and spoken communication in English and German
WE'D BE PARTICULARLY EXCITED IF
- Like working in a fast pace environment
- Can also speak Spanish and or Italian
- Based in Munich or London so you can spend time in our offices. This is a hybrid role, with 2-3 days a week in the office.
COMPENSATION
We offer a competitive salary, equity and benefits. Your offer will reflect your experience, skills and the scope of the role.
Location: Germany; London; Munich; Zurich; Berlin
Workplace: Hybrid
Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US.
As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations.
Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow.
THE ROLE
We’re hiring Solutions Engineers to build Synthesia’s pre-sales function the DACH region. This is a founding role: you’ll be one of the first SEs, shaping the playbook, tooling and best practices as we scale, not following an established model. If you’re someone who is excited by building whilst scaling, we’d love to hear from you.
As a Solutions Engineer at Synthesia, you will partner with Account Executives, Customer Success and Product Marketing to run discovery, deliver demos, scope POCs and design the technical solution for each deal. You will be a trusted advisor focused on the value customers get from Synthesia, and you’ll take what you learn in the field back to Product.
This is an incredible opportunity to join us as we become a multi-product company for the first time, and continue to scale across DACH.
WHAT YOU'LL DO
- Co-plan and support discovery calls with your AE to understand customer requirements, technical environment, and business challenges.
- Design and execute repeatable demo methodologies that prove Synthesia's business value quickly, whether the customer is deploying Studio at scale, building Roleplay Sessions for skill uplift, or integrating Interactive Avatars into their product.
- Build and maintain strong working knowledge of Synthesia's platform capabilities, roadmap, and positioning across all product lines, so you can speak to the use cases that drive value
- Deliver demonstrations that speak to customer problems and tell a credible story of why Synthesia is the right solution.
- Identify technical objections and integration questions as they come up, working with your AE and the broader ecosystem to find a path forward.
- Contribute your assessment of technical fit and opportunity risk to help your AE shape account and deal strategy.
- Keep your deal team and manager informed on deal status, timeline, and technical dependencies.
- Identify, build relationships with, and actively enable technical champions within customer organizations so they can advocate for Synthesia internally.
- Provide technical guidance on platform capabilities, API and SDK integrations, security, compliance topics (SOC 2, GDPR, enterprise identity), and scalability for global deployments, troubleshooting issues and validating integrations with LMS, HCM, and content systems as they surface.
- Partner with Enablement to complete certifications, stay current on new releases, and keep your demo and objection-handling skills sharp.
WE’D LOVE TO HEAR FROM YOU IF YOU HAVE
- 2+ years of pre-sales, solutions engineering, or customer-facing technical experience in a SaaS environment (or equivalent technical customer-facing experience).
- Delivers a strong standard demo aligned to the discovery points and agenda set with the AE, with a solid grasp of core demo technique (e.g., Tell-Show-Tell).
- Applies established solution designs and best practices to the customer's use case, working with core ecosystem functions (Product, Customer Success) as the deal requires.
- Identifies and surfaces deal risk and next steps based on what the customer tells you, escalating clearly to your AE so it gets actioned.
- Working knowledge of MEDDPICC and Command of the Message, and can articulate why Synthesia is a fit for the prospect.
- Resourceful: knows how to find the right person or tool internally, and is building their own network across the GTM organization.
- Comfortable with the technical fundamentals in at least one area (creation flows, APIs, integrations, security, compliance) and eager to build depth quickly.
- Self-motivated and organized, able to manage a growing book of POCs, demos, and customer conversations while hitting deadlines.
- Willing to travel for customer discovery and on-site demos as needed.
- You like staying ahead of the AI-native learning and enablement space, so you can credibly discuss how customers are shifting from static methods to interactive practice and measurable skill development.
- Strong written and spoken communication in English and German
WE'D BE PARTICULARLY EXCITED IF
- Like working in a fast pace environment
- Can also speak Spanish and or Italian
- Based in Munich or London so you can spend time in our offices. This is a hybrid role, with 2-3 days a week in the office.
COMPENSATION
We offer a competitive salary, equity and benefits. Your offer will reflect your experience, skills and the scope of the role.
Location: Hong Kong
We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime.
Position Summary
The Associate Digital Producer is responsible for managing the end-to-end production of digital-first visual assets, including CGI renders, generative AI content, and derivative creative executions. This role oversees a small team of digital creatives to deliver high-quality, scalable content that supports global brand and eCommerce initiatives.
Reporting to the Creative Producer, the Associate Digital Producer partners closely with Creative, Photo/Video Production, and Marketing teams to ensure assets are delivered efficiently, on time, and aligned with brand standards. This role focuses on execution, workflow management, and team coordination, while supporting the evolution of digital production capabilities.
Responsibilities
Own digital production projects end-to-end, serving as the day-to-day point of contact for Creative, Production, and key stakeholders
Plan work from creative briefs, defining scope, timelines, and deliverables, and aligning priorities to business and eCommerce needs
Manage and prioritize day-to-day workflow for a project group of 4–6 digital creatives (CGI artists, designers, AI artists)
Oversee creation of digital-first assets (CGI renders, generative AI imagery, and derivative executions from photo/video)
Track progress, manage dependencies, and drive on-time delivery across concurrent projects
Coordinate reviews and approvals, incorporating feedback efficiently while maintaining brand standards and quality
Ensure proper organization, version control, and final delivery of assets; support continuous improvement of workflows and tools
Partner with Photo/Video Production to ensure continuity across asset types; manage external vendors/freelancers as needed
Qualifications / Requirements
Bachelor’s degree (or equivalent) in Digital Media, Design, Animation, Communications, or related field.
4–6 years of experience in digital production, content creation, or creative operations
Experienced in managing digital asset workflows, including CGI, 3D rendering, or AI-assisted content creation
Experienced in coordinating or leading small teams or project groups
Experienced in working cross-functionally with creative and marketing teams
Familiarity with eCommerce and digital content requirements
Skills
Use strong project management and organization to handle multiple workstreams and shifting priorities
Work across Adobe Creative Suite (e.g., Photoshop, Illustrator) to support production and reviews
Understand CGI/rendering pipelines (e.g., Vizcom, Blender, Cinema 4D, Maya) to plan and troubleshoot work
Leverage generative AI tools (e.g., Midjourney, Firefly, Runway) responsibly to scale and iterate output
Apply working knowledge of asset management, file versioning, and Microsoft Office to support delivery
Maintain high quality standards; adapt to evolving tools and workflows by documenting and sharing best practices
Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include:
Health & Wellness
Time Off to Recharge
Financial Well-being
Life & Family Support
Volunteer and Community Initiatives
Learning & Development
Exclusive Perks
Please review our
Applicant Privacy Notice
to learn how we collect, use, and protect your personal information in connection with the application process.
Location: London, UK
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 growing quickly across EMEA, and we need recruiters who can help us hire exceptional people into the teams that keep the company running and bring our work to customers. We’re looking for a Recruiter to join our Talent team based in London to own full-cycle recruiting of our G&A functions (Policy, Finance, Legal, People, and related areas).
This is a full-cycle individual-contributor role for a strong recruiter who can run an excellent process end to end—sourcing, screening, managing stakeholders, and closing. You’ll partner with hiring managers across EMEA to understand what great looks like, build healthy pipelines, and deliver a candidate experience that reflects Anthropic’s values. You’ll work in a fast-moving environment where priorities shift, and you’ll have real ownership over the roles you run.
We’re open to candidates whose strength is in G&A recruiting in your application, tell us where your experience is deepest across the functions.
Key Responsibilities
Own full-cycle recruiting for a portfolio of G&A roles across EMEA—from intake through offer and close
Partner with hiring managers to scope roles, calibrate the bar, and build effective sourcing strategies
Source and engage high-quality active and passive candidates, building diverse and competitive pipelines
Run structured, rigorous, and candidate-centric interview processes that uphold Anthropic’s hiring bar
Manage candidates through the process with clear communication and a great experience at every stage
Collaborate with the broader Talent team, People Partners, and Compensation to structure offers and guide candidates to close
Use data to track pipeline health and share insight that helps hiring managers make good decisions
Minimum Qualifications
6+ years of full-cycle recruiting experience in G&A (Policy, Finance, Legal, People) with a focus on Policy hiring
Demonstrated ability to recruit in the UK and European market, with familiarity with local talent dynamics and employment norms
Track record of strong stakeholder partnership — building trust quickly with hiring managers in fast-moving environments
Comfortable operating with ambiguity: willing to flex between functions and contribute to building something new rather than running an established playbook
Proven ability to maintain quality under volume pressure — owns pipeline health, not just pipeline size
Self-starter who can work with significant autonomy while staying tightly aligned with global strategy
Genuine connection to Anthropic's mission and an understanding of why it matters in a recruiting context
Preferred Qualifications
Experience recruiting at a high-growth technology, AI, or machine learning company
Experience recruiting across both G&A and GTM functions
Experience hiring across multiple EMEA markets, including the UK and Ireland
Familiarity with Greenhouse or similar ATS platforms
Additional European language skills relevant to hiring across the region
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:
£105,000
—
£145,000 GBP
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: 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
As of May 2026, Claude authored
more than 80% of the code we merge
. In September 2026, we merged more than
30,000 changes per day
. Writing a change is fast now, and the hard part is knowing what is correct and safe to ship. Platform Acceleration builds the internal tools that close that gap for Anthropic's product engineers, who own the Claude API, our SDKs, and the rest of the Claude Platform. We work like a small product team whose customers are other Anthropic engineers.
We're looking for Staff+ engineers with a strong background in backend or infrastructure who care about developer experience and have built tools other engineers rely on. We prefer candidates who can work from our San Francisco office, and we'll also consider candidates based in Seattle.
What you'll do
Design, build, and operate the tools that help product teams ship faster
Own the technical strategy and roadmap for your area, and make sure its hardest problems get solved, by you or through others
Define what it means to trust a change, especially changes written by Claude, and build the tooling that holds the bar throughout the software development lifecycle
Build agents that take on repetitive engineering work, such as diagnosing failures, fixing broken tests, and running migrations
Embed with partner teams to find their biggest sources of friction, validate a solution with them, and turn the fix into a product other teams can adopt
Move between building new tools and improving the shared systems that teams already depend on, as priorities shift
You might be a good fit if you:
Experience building and operating backend services or infrastructure in production, in Go, Python, Rust, or TypeScript
Deep experience with developer tooling, CI/CD, test infrastructure, or deployment systems
Experience leading large, complex technical projects across teams, from an ambiguous problem to a solution developers adopt
Clear written and verbal communication, with experience supporting internal partner teams
Interest in Anthropic's mission of building safe, beneficial AI
Preferred qualifications:
Experience at a startup or on a similarly small team, taking a product from zero to one and talking directly to your users
Substantial experience with agents that do engineering or other technical work
Experience building widely adopted CLI tools, developer-facing services, GitHub automation, or open source developer tools
Experience measuring developer productivity and using the data to decide what to build
A point of view on how software engineering changes as agents write more of the code
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
Location Preference:
Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team.
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:
$405,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
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.
Welcome to
Torrero
- all-in-one source for cutting-edge white label casino, sportsbook solutions and B2B aggregation. Built on a foundation of trust and compliance, we proudly offer an extensive library of 30,000+ games sourced from diverse providers, positioning Torrero as the preferred partner for transforming the iGaming enterprise. With huge number of sports events and easy payment options, we cater to diverse interests. Available in 35+ languages, we make gaming accessible worldwide.
About the role:
We are looking for a customer support specialist with English language, strong communication skills and excellent organizational skills. You must be a team player who can handle sensitive situations with confidence. We offer a unique chance to grow in an international team and enjoy the benefits of working in a global company.
If you like a fast paced, dynamic and start-up work culture with full of passionate and enthusiastic mindsets, you’re most welcome to explore the opportunity. This is a chance to take part in an exciting journey as the company grows and expands its business at a rapid pace.
You will be doing:
Answer to incoming requests from customers via live chat
Identify customer needs and help customers use specific features
Analyze and reporting product malfunctions
Follow up with customers to ensure their basic technical and product related issues are resolved
Gather customer feedback and share with our Product, Sales and Marketing teams
Your expertise to meet the requirement:
You should be proficient in English and Spanish languages
You must have work experience in support
You must have excellent communication skills
You should have strong teamwork skills
You should have excellent PC skills
You must have high attention to details
You should have multi-tasking abilities
You must be flexible to work in different shift schedules (day & evening & night) and on weekends
We appreciate:
Ability to quickly and efficiently solve tasks
Independence, responsibility, initiative, and keep attention to detail
A flexible and systematic approach to solving complex problems
Experience in sports betting/gambling industry is a plus
We offer:
Fully remote job - work from anywhere you want
Competitive compensation
28 paid days off per year
Seniority leave
Real career opportunities and professional growth
The great team across the world
Hiring Stages:
Online Assessment
Introductory Call
Hiring Manager Round
Candidate Reference Check
Offer Letter
ГибридseniorGermany; London; Munich; Zurich; Berlin
География найма не уточнена
London, UK
We prefer candidates who can work from our San Francisco office, and we'll also consider candidates based in Seattle; Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team
Все вакансии в одном месте - страница 23 · Job Hunters
