Location: US
About Aidoc
Aidoc is the market leader in healthcare AI and has developed the world's largest clinical frontier model, supporting nearly 50 million patients each year.
Aidoc is deployed in more than 2,000 medical centers worldwide. Since our founding in 2016, Aidoc has raised over $500 million and achieved a record number of FDA-cleared solutions.
Medical diagnosis is hitting a breaking point, where the number of physicians hasn't kept up with the rapidly growing patient load. This leads to misdiagnosis and treatment delays that result in hundreds of thousands of deaths every year. Aidoc assists clinicians by precisely highlighting diseases directly on medical images, preventing misdiagnosis and ensuring that urgent patients receive the immediate attention they need.
About this role
We are looking for a customer-obsessed Technical Support Engineer who thrives at the intersection of customers, production systems, and engineering.
In this role, you will act as a critical bridge between our customers and internal engineering teams diagnosing complex technical issues, coordinating production incident response, and helping ensure the reliability of our platform for customers around the world.
You will investigate technical problems, analyze system behavior, respond to production alerts, and drive issues through to resolution while maintaining clear and proactive communication with customers and internal stakeholders. This role is ideal for someone who enjoys deep technical troubleshooting, working directly with production systems, and advocating for customers, while building strong expertise in a fast-paced SaaS environment.
This is a shift-based role supporting our global customers, which may include Pacific Time business hours, evenings, weekends, and some holidays.
Responsibilities
Own Customer Impacting Issues
Serve as the primary technical owner for complex customer issues and escalations.
Investigate and resolve technical problems spanning multiple systems and services.
Provide clear, proactive communication to customers throughout the lifecycle of an issue.
Coordinate Production Incident Response
Monitor and triage production alerts impacting customers or system reliability.
Coordinate incident response efforts across engineering and internal teams.
Ensure incidents are properly documented, communicated, and followed through to resolution.
Troubleshoot Systems and Data
Diagnose issues using logs, system metrics, and SQL queries.
Analyze system behavior to identify root causes of production problems.
Escalate and partner with engineering teams to drive long-term fixes.
Improve Reliability and Operational Excellence
Develop and maintain troubleshooting documentation, runbooks, and operational processes.
Identify recurring patterns and contribute to systemic improvements.
Help strengthen incident response and operational best practices as the organization scales.
Enable the Broader Support Team
Share technical insights and best practices with colleagues.
Act as a technical resource within the Support organization.
Impact You’ll Have
Ensure platform reliability for customers worldwide by diagnosing and resolving complex production issues.
Serve as a critical bridge between customers and engineering, bringing technical insight and real-world production context to accelerate resolutions.
Strengthen our production support capabilities by improving troubleshooting processes, documentation, and incident response practices.
Help scale a modern, high-impact Support organization, contributing ideas that improve how we detect, investigate, and resolve issues as the company grows.
Requirements
Exceptional communication skills with a customer-first mindset, capable of translating complex technical issues into clear and actionable insights.
A demonstrated ability to get on a call or have a remote session with a customer during less-than-optimal times, to troubleshoot and put them at ease.
2+ years of experience in Technical Support, Production Support, Technical Operations, or a similar customer-facing technical role.
Strong troubleshooting and analytical skills, with the ability to quickly diagnose and resolve complex technical issues.
Proficiency in SQL for data investigation, troubleshooting, and root cause analysis within production environments.
Ability to analyze system behavior, investigate anomalies, and debug issues across distributed systems and application layers.
Experience partnering closely with Engineering teams to escalate issues, provide technical context, and drive timely resolution.
Comfortable operating in fast-paced production environments, including handling incidents, alerts, and time-sensitive customer-impacting issues.
Nice to Have
Experience participating in incident response, production alerting, or on-call rotations in a live production environment.
Familiarity with observability, monitoring, and debugging tools used to investigate system performance and reliability issues.
Experience supporting or operating within SaaS or cloud-based platforms.
Working knowledge of support, collaboration, and ticketing tools such as Salesforce, Jira / Atlassian,
Monday.com
, or Slack.
Bonus
Experience debugging API integrations, working with REST endpoints, request/response payloads, and authentication mechanisms.
Comfort analyzing application logs, system metrics, and traces to diagnose production issues.
Familiarity with modern observability and monitoring platforms such as Datadog, Grafana, or New Relic.
Basic scripting or automation skills (Python, Bash, or similar) to streamline investigations or repetitive support workflows.
Exposure to cloud infrastructure platforms such as Amazon Web Services, Google Cloud Platform, or Microsoft Azure.
Working at Aidoc
We’re a dynamic, collaborative and fast growing team of more than 500 global employees, committed to improving the world of healthcare. We’re looking for mission-driven people excited to do transformative work.
We have offices in Barcelona, Tel Aviv and New York City, but Aidoc is a remote-first workplace.
What we offer:
A range of medical, dental and vision benefits
Stock options for all full-time employees
Flexible time off to enjoy the autonomy to take time off as needed to rest and recharge without vacation accrual limits, while coordinating with your manager and team to ensure business continuity and project goals are met.
A 401(k) plan with company match, life insurance, plus long- and short-term disability
The opportunity to directly improve medical care and impact patient outcomes
Aidoc is deeply committed to creating an inclusive workplace, and to the principle of equal opportunity for all individuals. We prohibit discrimination and harassment based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by law.
Location: Remote, Global
ABOUT SUPABASE
Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth.
ABOUT THE ROLE
We're looking for Engineering Managers to lead engineering teams across Supabase. Teams range from developer-facing surfaces, core backend services, Platform, EngOps, and Databases.
This is a single pipeline for engineering management. As we get to know your background, we'll match you to the team where your experience and interests overlap most strongly. The Engineering Manager is a people, delivery, and technical role. Although we don’t expect managers to contribute to code directly, we do expect you to participate in design discussions and to be involved in setting the bar for engineering quality and best practices.
This is a new role at Supabase. We've historically optimised for technical excellence on every axis, including leadership. As our engineering org grows, people leadership has become just as critical, and the Engineering Manager role exists to reflect that. You'll be shaping what this role looks like from day one.
WHAT YOU'LL BE RESPONSIBLE FOR
Team & People
- Build a healthy, high-trust team culture in a remote-first, globally distributed environment.
- Run 1:1s, performance management, career development, and onboarding for your direct reports.
- Handle people admin (leave, time off, etc.) for your team.
Hiring
- Own the hiring plan for your team and act as Hiring Manager. First round of interviewer for all roles on the team.
- Partner with Talent Acquisition to source, interview, and close strong candidates.
- Contribute to headcount planning, org design, and the evolution of engineering leadership at Supabase.
Delivery & Roadmap
- Own the team's roadmap and project management (Linear), driving accountability and clear milestones.
- Manage workflow intake and Slack triage. These are the team’s primary inboxes for cross-team requests. You decide what gets routed where, prioritized, or pushed back on.
- Own the team's weekly updates and keep stakeholders aligned without creating overhead.
- Organize effort against support tickets and maintain the team's SLO.
- Surface risks, dependencies, and tradeoffs early and clearly to leadership.
Incident Commander
- Train as an Incident Commander. Drive coordination, resolution, and post-incident follow-up.
- Lead blameless post-incident reviews
YOU MIGHT BE A GOOD FIT IF YOU
- Have 5+ years of engineering background, with enough depth to be credible with engineers building complex systems.
- Have 3+ years managing remote engineering teams.
- Have managed engineering teams at a cloud, SaaS, or developer tools company. Experience with developer tools or databases is a strong preference, but we'll consider any sufficiently technical background where you can demonstrate the ability to ramp on a new domain.
- Have managed remote, globally distributed teams that work asynchronously across disparate time zones.
- Are technical enough to be credible with strong engineers, but genuinely passionate about people management. This is the work you want to do, not a track you're settling for.
- Build psychological safety and a feedback culture: you give feedback often and in the moment, ask for it back, and create space for the team to do the same.
- Operate as a multiplier. Focused on helping individuals achieve more than they could alone, not on being the best technical voice in the room.
- Coach rather than direct. Remove blockers, connect people to context and resources, and trust your engineers to own how the work gets done.
- Have a real track record of performance management and can speak to specific examples of difficult conversations and how you navigated them.
- Are comfortable with ambiguity and capable of building structure where there isn't much.
- Communicate clearly and write well. You're default async, default written, set context proactively, and surface risks early.
- Are collaborative, low-ego, and adaptable. You thrive working with high-autonomy, senior ICs who have strong technical opinions and don't need to be the smartest person in the room.
WHAT WE OFFER
- Fully Remote
We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world.
- ESOP
Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together.
- Tech Allowance
Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work.
- Health Benefits
Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us.
- Annual Off-Sites
Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year.
- Flexible Work
We operate asynchronously and trust you to manage your own time. You know what needs to be done and when.
- Professional Development
Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth.
ABOUT THE TEAM
Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love.
- ~400 team members
- 60+ countries
- 20+ languages spoken
- Over $1B raised (including our $500M Series F)
- 540,000+ community members
We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.
Location: Georgian office
About Lineate
Lineate is a US-based international software development company with over two decades of experience.
From Intelligent Document Processing(IDP) and Agentic RAG systems to scalable cloud architectures, we turn complex ideas into real, measurable results.
We deliver AI-driven custom solutions for FinTech, HealthTech, AdTech, and beyond, empowering businesses to grow smarter, faster, and more efficiently.
Our expertise falls into three main categories:
Building Custom AI Solutions: Deploying high-impact, AI-enabled technology utilizing IDP, Agentic RAG.
Cloud and Data Infrastructure: Optimizing business operations with our data management and cloud computing solutions.
Team Augmentation: Providing specialized experts in FinTech, AdTech, and HealthTech to integrate seamlessly and accelerate project timelines.
Our goal is not just to build technology, but to build the future operating model for our clients.
Role Summary
The Infrastructure Engineer is responsible for the reliability, security, and continuous improvement of Lineate and customer infrastructure across cloud and on-prem environments. The role combines hands-on SRE/DevOps work — automation, observability, incident response — with support engineering for production systems. The engineer is expected to operate independently on most tasks, and drive infrastructure and tooling improvements, including the use of AI agents to automate routine operational work
Accountable for
• Reliability, availability, and performance of Lineate and customer production systems in accordance with agreed SLOs and support SLAs
• Design, automation, and continuous improvement of cloud and on-prem infrastructure
• Timely and high-quality response to incidents and escalated support requests
• Security, compliance, and cost-efficiency of the infrastructure under the team's ownership
• Day-to-day operations of the infrastructure owned by the team
Main Responsibilities
• Participate in a 24/7 shift schedule
• Monitor systems and respond to automated alerts in line with Lineate support SLAs
Diagnose and resolve system problems
• Operate Kubernetes workloads and Databricks resources by following team playbooks and runbooks
• Perform routine system administration on Linux and Windows servers
• Respond promptly and professionally to customer inquiries via Slack, email, or Zendesk
• Document, categorize, and prioritize incoming support requests
• Communicate the status of open requests clearly and regularly to customers
• Identify and implement automation opportunities, including AI-agent-driven automation of routine operational tasks (ticket triage, runbook execution, log analysis, knowledge-base maintenance)
• Drive incident resolution by coordinating triage, implementing mitigation measures, conducting root cause analysis, and leading post-incident reviews
• Maintain and improve runbooks, playbooks, FAQs, and internal knowledge bases
• Implement and improve observability: metrics, logs, traces, dashboards, alerting, and SLO tracking
• Contribute to CI/CD pipelines and basic infrastructure automation
• Follow basic information security practices (IAM, secrets handling, least privilege)
• Participate in the improvement of support and infrastructure processes
Necessary Qualification
s:
• Minimum 3 years of hands-on Linux system administration experience (required)
• Minimum 2 year of hands-on experience with AWS in a production environment (required)
• Working familiarity with Kubernetes — able to operate workloads, read logs, and perform standard actions by following playbooks (deep cluster-design expertise not required)
• Working familiarity with AWS Databricks — able to run jobs, manage clusters, and troubleshoot using existing playbooks (deep platform expertise not required)
• Practical experience using AI agents / LLM-based tooling (e.g., Claude, ChatGPT, MCP-based agents, Cursor, Copilot) to automate operational, scripting, or support tasks
• At least 1 year of Windows system administration experience
• Practical scripting skills in at least one of Python, Bash, Go (1+ years of practical use)
• Ability to maintain existing pipelines in CI/CD tools such as Jenkins, GitHub Actions, GitLab CI, or equivalent
• Proficiency with Git and standard version-control workflows
• Hands-on experience with Docker and container workflows
• Experience managing and maintaining production IT infrastructure
• Comfortable working with a broad range of open-source technologies and tools
Preferred:
• Infrastructure as Code: Terraform (preferred), Ansible, or CloudFormation
• Observability stack: Prometheus, Grafana, ELK/Loki, Datadog, CloudWatch, or equivalent—including building dashboards and alerts
• Networking fundamentals: TCP/IP, DNS, HTTP(S), TLS, VPN, load balancers, VPC design ,basic firewall and routing
• Cloud security: IAM, KMS, secrets management (AWS Secrets Manager, HashiCorp Vault), least-privilege design, audit logging
• Database operations: PostgreSQL, MySQL, or Redis — backups, restores, basic tuning, monitoring
• Incident management practices: on-call rotations, runbooks, SLI/SLO/SLA, blameless postmortems
• Familiarity with data-platform concepts: Spark/PySpark basics, ETL pipelines (in the context of Databricks)
• Experience writing and maintaining MCP servers, prompt-based automations, or AI-driven runbooks is a plus
Exposure to GCP or Azure in addition to AWS
We offer
Freedom to Develop - equal opportunity to learn and grow professionally
Clear career and professional path, strong performance management system
Social Benefits Package
Equipment
English lesson
Gym membership
All the advantages of working in an international IT company
Flexible vacation time
Fun and inclusive in-person and digital events
Lineate is proud to be an Equal Opportunity Employer - We do not hire on the basis of race, colour, religion, creed, gender, national origin, citizenship, age, disability, veteran status, marital status, pregnancy, parental status, sex, gender expression or identity, sexual orientation, or any other basis protected by Georgian legislation. All employment is decided based on qualifications, merit, and business ne
ed. Learn more about Lineate at our website: www.lineate.
Location: London
Workplace: Hybrid
Why Engineering @loveholidays?
At loveholidays - we trailblaze together. We’re on a mission to open the world to everyone, giving our customers’ unlimited choice, unmatched ease and unmissable value for their next getaway. Our team is the driving force behind our role as our customers’ personal holiday expert - the smart way to get away.
Technology at loveholidays underpins our vision to become the most loved OTA in Europe. We drive cutting-edge innovation and technical excellence to futureproof the business. Our systems process trillions of daily holiday offers, we deploy over a thousand times a month, serving thousands of requests per second. This is where you can accelerate your growth by solving complex challenges and broadening your skillset.
Join us to create impact for our future in an exciting new chapter, owning your success and contributing to shared goals. We actively talk about technology https://tech.loveholidays.com/ and adhere to our key technology principles https://tech.loveholidays.com/the-5-principles-that-helped-scale-loveholidays-7ea0b0fd3df9 that have guided us this far. We are growing and have ambitious plans to expand across Europe, employing the best minds and technology to let us do this.
The impact you’ll have:
Senior Software Engineers at loveholidays have strong expertise in:
- Supplier integration systems that process vast amounts of data
- Industry leading bespoke, high performance search and recommendation systems
- Sophisticated real time pricing systems
- Complex domain modelling and implementation of booking payment, fulfilment and management systems
- AI-powered solutions to assist customers pre and post booking
- Best in class, modern user experience through web and mobile applications
For a better understanding of our work, refer to some of our blog posts https://tech.loveholidays.com/.
Or our open source contributions:
- github.com/loveholidays/ripley http://github.com/loveholidays/ripley
- github.com/loveholidays/eval-kit https://github.com/loveholidays/eval-kit
- github.com/loveholidays/po-test http://github.com/loveholidays/po-test
As part of our tech culture we continuously improve our time to delivery, reducing errors and generally leaving things better than you found them.
Your day-to-day:
- Adoption of our engineering principles https://tech.loveholidays.com/the-5-principles-that-helped-scale-loveholidays-7ea0b0fd3df9
- Building and running services at scale in the cloud
- Collaborating with engineers, designers, product managers within and outside of the team
- Implementing maintainable and well-tested solutions iteratively, keeping business impact and observability as a primary focus
- Understanding the wider context of the business and designing system architectures that meet short and long term business goals
Your skillset:
- Algorithms, data structures
- Observability
- Web services, REST, HTTP
- Containers, cloud
- Testing, reliability, monitoring
- Strong knowledge in building and owning application end-to-end, from inception to maintenance, to retirement
- Designing systems that scale
- Expertise in some of our main programming languages - TypeScript, Java, Golang, Rust, Python
Desirable
- Experience with Kubernetes, Prometheus, Terraform, NoSQL or GCP
Perks of joining us:
- Company pension contributions at 5%
- Individualised training budget for you to learn on the job and level yourself up
- Discounted holidays for you, your family and friends
- 25 days of holidays per annum (plus 8 public holidays) increases by 1 day for every second year of service, up to a maximum 30 days per annum
- Ability to buy and sell annual leave
- Cycle to work scheme, season ticket loan and eye care vouchers
The interview journey:
- TA screening - 30 mins
- 1st Stage - Introduction - 45 mins
- Coding challenge - take home test or live pairing
- 2nd Stage - 3 hours
At loveholidays, we focus on developing an inclusive culture and environment that encourages personal growth and collective success. Each individual offers unique perspectives and ideas that increase the diversity and effectiveness of our teams. And we value the insight and potential you could bring on our continued journey.
Location: Amsterdam, Netherlands; Remote - Europe
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role:
Our customers build the frontier of AI on top of Nebius — training state-of-the-art models, running production inference at scale, shipping the research and products that define where the field is going next.
We are building the AI cloud that the people building the frontier of AI choose deliberately — not on price, not on raw capacity, but on how it works to use it day to day. To do that, we are growing the AI Compute Platform product team and hiring multiple Technical Product Managers across the full surface of the platform.
Your scope will be defined by what you bring. We will match your technical strengths, customer experience, and product instincts to the area of the platform where you can have the most impact. The platform is broad — and at our scale, every slice is mission-critical.
If you want to help build the best AI cloud in the world — and you have the technical depth to engage engineering leaders as a peer (not as a translator) and the comfort to talk to customers directly — this team is for you.
The platform you'll help build:
Hardware platforms & launch — bringing new GPU and CPU platforms (GB300, Vera Rubin, ARM/Grace, future generations) to production with full launch readiness across the stack.
Cluster lifecycle & fleet operations — new region launches, 100,000+ GPU cluster bring-up, platform sharding and allocation architecture, release engineering, host-lifecycle automation, operational efficiency.
Reliability & Mission Control — autohealing, health checks, SLA, fault-tolerant training, MTTR reduction, customer trust at scale, observability as a product.
Customer experience & developer surface — Compute APIs, console, CLI, IMDS and in-VM signals, self-service workflows, notifications, customer-facing observability, unified UX across the product line.
GPU & InfiniBand foundational services — drivers, firmware, NCCL, IB/RoCE, NVLink topology, the foundational layer everything else builds on.
Managed runtime platforms — Soperator (Slurm-on-Kubernetes) and MK8S (Managed Kubernetes for AI workloads), powering training and inference for frontier labs.
Platform integrations & emerging workloads — Token Factory integration, RL and agentic workload infrastructure, capacity sharing, new business surfaces as they emerge.
Cross-platform program & delivery — NVIDIA partnership programs, major-maintenance orchestration, cross-stream releases.
You will own one of the slices of this platform end-to-end — from strategy and roadmap through delivery, adoption, and measurable outcomes.
Your responsibilities will include (regardless of which slice you own):
Own end-to-end product responsibility for your area — strategy, roadmap, discovery, delivery, adoption, measurable customer and platform outcomes.
Design and own the platform contracts customers depend on — APIs, semantics, system events, customer-facing surfaces, operational behavior — at hyperscaler quality.
Drive cross-team execution across platform engineering, networking, storage, Soperator/MK8S, observability, IAM, billing, capacity planning, support, and product design.
Turn customer pain into product commitments through structured discovery — interviews, usage analytics, support patterns, incident postmortems. Close the loop so the same class of failure or friction does not recur.
Engage engineering as a technical peer — debate API design, reason about system trade-offs, judge the quality of platform internals, and push back when the design is wrong.
Define and own success metrics — what you ship is measured by what changed for the customer or the platform, not by the size of the spec.
Be the product voice that customer-facing teams (Support, CX, TAMs) escalate to when a system behavior, API contract, or operational pattern needs a product decision, not a workaround.
We expect you to have:
6+ years in Product Management, Platform PM, Infrastructure PM, or SRE / Engineering Lead with strong product instincts.
Strong technical foundation and cloud-infrastructure depth — comfort reasoning about API semantics, control-plane vs data-plane behavior, system events and lifecycle, multi-tenant operational realities. You can engage engineering leaders as a peer, not as a translator.
Experience with cloud, GPU, or HPC infrastructure — either building one or operating one at meaningful scale (thousands of nodes, multi-region, multi-tenant).
Track record of shipping technically complex platform products with measurable customer or platform impact — quantitative results, not aspirational bullets.
Strong analytical skills: comfort defining and instrumenting product metrics, working with telemetry, building data-informed roadmaps.
Experience leading discovery-heavy work — structured customer interviews, usage analytics, support-ticket analysis — and turning insights into shipped product.
Strong communication and ability to align engineering, SRE, customer-facing teams, and exec stakeholders.
High ownership, bias to ship, comfort with messy operational reality, and the instinct to push back on engineering when the customer experience or platform quality would suffer.
It will be an added bonus if you have (these are not all required — different strengths fit different slices of the platform):
Customer-facing experience and lived-it perspective:
Direct PM experience with frontier AI customers — ML platform teams, MLOps engineers, training and inference at scale.
Familiarity with Kubernetes, Slurm, or HPC environments from the user side, and ML training workflows.
Hands-on experience with ML training and inference workflows — especially distributed training at scale (multi-node, multi-GPU; comfort with checkpointing, NCCL, fault-tolerant training, debugging large training jobs).
Experience as a customer of AI cloud infrastructure at large scale — especially as part of an internal ML platform team that built and operated infrastructure for ML engineers inside your own company. If you have lived through what frustrates customers about clouds, you will know exactly what we are trying to fix.
Hardware, GPU, and HPC depth:
Direct experience with NVIDIA reference architectures (NVL72, SuperPOD, MGX, DGX) and the NVIDIA stack (drivers, CUDA, NCCL, DCGM).
Familiarity with InfiniBand / RoCE fabrics, firmware lifecycle, topology-aware scheduling.
Hands-on with GPU clusters or HPC fabrics at thousands-of-nodes scale.
Cluster and fleet operations:
Background in Kubernetes lifecycle (CAPI, cluster upgrades, node-pool management) or Slurm at scale.
Experience launching new cloud regions or data-center bring-ups end-to-end.
Background in release engineering, change management, or major-maintenance orchestration in production environments.
Customer experience and developer surface:
Exposure to console / CLI / API design at hyperscaler quality — AWS, GCP, Azure depth on consistency, versioning, idempotency, error semantics, deprecation policy.
Background in observability product — Grafana, Datadog, Honeycomb, New Relic.
Knowledge of customer trust artefacts — status pages, RCA workflows, audit logs, SLA reporting, maintenance notifications.
Familiarity with developer-experience product patterns — Stripe, Cloudflare, Vercel, Supabase, Render.
Reliability and operational outcomes:
Background in SRE, reliability engineering, or fault-tolerant systems for paying customers.
Familiarity with reliability metrics that matter: Goodput, MFU, MTTR, MTBF.
Experience with autohealing systems and graceful failure semantics.
Emerging workloads and integrations:
Familiarity with RL / agentic / inference workload patterns — vLLM, SGLang, Ray, Token Factory-style serving, sandbox technologies (Firecracker, gVisor, Kata).
Experience with multi-product cloud integrations — capacity sharing, billing models, cross-product packaging.
Background in pricing strategy for infrastructure products (reserved / on-demand / preemptible tiers, two-part pricing).
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: Abu Dhabi, United Arab Emirates
We are?
A leading specialist engineering services company delivering integrated solutions for complex energy and infrastructure projects and operating assets. At EnerMech, we believe that our success is driven by the talents and dedication of our people. We invest in our workforce as we grow globally, ensuring that we remain strong in all aspects of our service, technology, and infrastructure.
The role?
The Crane Technician - Electrical is responsible for ensuring the safe and efficient operation of electrical systems on offshore cranes. Your expertise in electrical maintenance, troubleshooting, and repairs will be essential to maintain the reliability and functionality of this critical equipment.
Main Responsibilities & Key Result Areas
Perform electrical maintenance, troubleshooting, and repairs on offshore cranes, with a specific focus on the Safe Load Indicator (SLI) system.
Conduct regular inspections and preventive maintenance activities on the to ensure accurate load measurements and safe crane operations.
Collaborate with the maintenance team to develop and implement maintenance schedules, ensuring compliance with safety regulations and industry standards.
Diagnose electrical faults in the SLI system, analyze equipment malfunctions, and develop effective solutions to minimize downtime and ensure accurate load monitoring.
Install, calibrate, and upgrade Electrical & SLI systems on offshore cranes, ensuring compatibility and adherence to specifications.
Keep accurate records of maintenance activities, including equipment history, repairs, and replacements performed.
Adhere to safety protocols and guidelines while working on offshore installations, ensuring personal and team safety at all times.
Collaborate with other technicians and engineers to troubleshoot complex electrical issues and provide technical support as needed.
Stay updated with the latest industry trends, technologies, and regulations related to SLI systems and offshore crane operations.
Maintain a clean and organized work area, ensuring tools and equipment are properly stored and maintained.
Requirements
A recognized apprenticeship or qualification.
At least a vocational/technical High School Diploma Holder.
Safety Training Certification
Compex certification will be an advantage.
At least 5 years of experience in the same field
3 years in a lifting equipment environment
Experience in repair & maintenance of cranes-related equipment
Experience in working to schedules.
Preferred
Experience in the offshore service industry or a similar environment
Experience in cranes & lifting equipment maintenance & repair.
Personal Qualities;
Good Communication Skills
High standards of workmanship
Ability to work and react under pressure and tight deadlines
Benefits
Work with a Global Organization.
Fulltime Permanent position.
Annual air ticket allowance.
Company provided health insurance.
Training & Development opportunities.
Location: New York
Workplace: Hybrid
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
Customer Experience runs on data — but right now, that data lives in too many places, speaks too many languages, and reaches the wrong people too late. This role exists to fix that.
As Harvey's first Support Operations Data Analyst, you'll own the analytics function for the Customer Experience org. You'll build and maintain the dashboards, reports, and feedback loops that tell us whether we're hitting our north stars — cSAT, TTR, QA scores, escalation rates — and surface the signal underneath the numbers so we can act on it. You'll sit within the Support Operations team, reporting to the Support Operations Manager, and work closely with Customer Experience leadership and Harvey's central data team to ensure the org is equipped with the right instrumentation as we scale.
This is a solo role. You won't have a team beneath you. You will need to be fluent enough in support analytics to hold the function independently, confident enough to push back on how metrics are framed, and fast enough to operate at Harvey's pace.
WHAT YOU'LL DO
- Own recurring reporting for Customer Experience — weekly, monthly, and QBR-ready — tailored to ops, leadership, and cross-functional audiences
- Translate support data into clear narratives: what's happening, why, and what to do about it
- Track and maintain north star metrics: cSAT, TTR by tier, QA scores, bug escalation rate to EPD, and First Response Time
- Build and maintain self-serve dashboards that give the ops team and leadership real-time visibility into support performance
- Partner with Support Systems to ensure Zendesk is instrumented to capture the data we need
- Work with Harvey's central data team to connect support data to broader product and customer data sources
- Identify and close data collection gaps — if we can't measure it, help define how we should
- Design feedback loops that connect support signals to Product, Engineering, and Customer Success
- Quantify the operational cost of product bugs, feature gaps, and onboarding failures
- Contribute to QA analytics as the QA program matures
- Track ticket deflection, AI/chatbot performance, and self-service effectiveness
- Measure the impact of AI-driven support — containment rate, escalation rate from AI interactions, resolution quality — and surface findings that drive how we tune and invest in those tools
- Support ad hoc analytical requests from the Support Operations Manager, Customer Experience leadership, and senior stakeholders
WHAT YOU HAVE
Required
- 3–5 years of experience in analytics, with at least 2 years directly in support operations, customer success operations, or a closely adjacent function
- Fluency in support platform data — you know how Zendesk (or equivalent) is structured, what data it produces, and what it doesn't
- SQL proficiency — you can write complex queries against large datasets without hand-holding (CTEs, window functions, joins across schemas)
- Dashboard experience — you've built and maintained operational dashboards in Looker, Tableau, Sigma, Omni, or equivalent
- Reporting for multiple audiences — you know the difference between what a frontline manager needs and what a CFO needs, and you build accordingly
- Strong data storytelling — you don't just present numbers, you write the narrative
- Comfort operating solo — you don't need a team around you to deliver, and you don't need a ticket to tell you what to look at
Strong Plus
- Experience with Python for data manipulation or automation
- Familiarity with dbt or similar data transformation tooling
- Experience building or contributing to QA analytics programs
- Background supporting enterprise SaaS or AI-native products
- Experience working with Zendesk APIs or extracting data beyond standard reporting
Key Attributes
- AI-native: you use AI tooling actively in your analytical workflows — not as a novelty, but as a force multiplier
- Pace: you move in hours and days, not weeks. You surface findings before anyone has to ask
- Judgment: you know which metrics matter and which are vanity. You push back when framing is wrong
- Clarity: your outputs are direct, jargon-free, and actionable. You write for the reader, not yourself
- Ownership: you treat Customer Experience analytics as your problem to solve, not a ticket queue to process
COMPENSATION
$112,000 - $168,000 USD
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922].
#LI-ML1
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Location: Remote
Workplace: Remote
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
Customer Experience runs on data — but right now, that data lives in too many places, speaks too many languages, and reaches the wrong people too late. This role exists to fix that.
As Harvey's first Support Operations Data Analyst, you'll own the analytics function for the Customer Experience org. You'll build and maintain the dashboards, reports, and feedback loops that tell us whether we're hitting our north stars — cSAT, TTR, QA scores, escalation rates — and surface the signal underneath the numbers so we can act on it. You'll sit within the Support Operations team, reporting to the Support Operations Manager, and work closely with Customer Experience leadership and Harvey's central data team to ensure the org is equipped with the right instrumentation as we scale.
This is a solo role. You won't have a team beneath you. You will need to be fluent enough in support analytics to hold the function independently, confident enough to push back on how metrics are framed, and fast enough to operate at Harvey's pace.
WHAT YOU'LL DO
- Own recurring reporting for Customer Experience — weekly, monthly, and QBR-ready — tailored to ops, leadership, and cross-functional audiences
- Translate support data into clear narratives: what's happening, why, and what to do about it
- Track and maintain north star metrics: cSAT, TTR by tier, QA scores, bug escalation rate to EPD, and First Response Time
- Build and maintain self-serve dashboards that give the ops team and leadership real-time visibility into support performance
- Partner with Support Systems to ensure Zendesk is instrumented to capture the data we need
- Work with Harvey's central data team to connect support data to broader product and customer data sources
- Identify and close data collection gaps — if we can't measure it, help define how we should
- Design feedback loops that connect support signals to Product, Engineering, and Customer Success
- Quantify the operational cost of product bugs, feature gaps, and onboarding failures
- Contribute to QA analytics as the QA program matures
- Track ticket deflection, AI/chatbot performance, and self-service effectiveness
- Measure the impact of AI-driven support — containment rate, escalation rate from AI interactions, resolution quality — and surface findings that drive how we tune and invest in those tools
- Support ad hoc analytical requests from the Support Operations Manager, Customer Experience leadership, and senior stakeholders
WHAT YOU HAVE
Required
- 3–5 years of experience in analytics, with at least 2 years directly in support operations, customer success operations, or a closely adjacent function
- Fluency in support platform data — you know how Zendesk (or equivalent) is structured, what data it produces, and what it doesn't
- SQL proficiency — you can write complex queries against large datasets without hand-holding (CTEs, window functions, joins across schemas)
- Dashboard experience — you've built and maintained operational dashboards in Looker, Tableau, Sigma, Omni, or equivalent
- Reporting for multiple audiences — you know the difference between what a frontline manager needs and what a CFO needs, and you build accordingly
- Strong data storytelling — you don't just present numbers, you write the narrative
- Comfort operating solo — you don't need a team around you to deliver, and you don't need a ticket to tell you what to look at
Strong Plus
- Experience with Python for data manipulation or automation
- Familiarity with dbt or similar data transformation tooling
- Experience building or contributing to QA analytics programs
- Background supporting enterprise SaaS or AI-native products
- Experience working with Zendesk APIs or extracting data beyond standard reporting
Key Attributes
- AI-native: you use AI tooling actively in your analytical workflows — not as a novelty, but as a force multiplier
- Pace: you move in hours and days, not weeks. You surface findings before anyone has to ask
- Judgment: you know which metrics matter and which are vanity. You push back when framing is wrong
- Clarity: your outputs are direct, jargon-free, and actionable. You write for the reader, not yourself
- Ownership: you treat Customer Experience analytics as your problem to solve, not a ticket queue to process
COMPENSATION
$112,000 - $168,000 USD
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922].
#LI-ML1
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Location: San Francisco
Workplace: Hybrid
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
Customer Experience runs on data — but right now, that data lives in too many places, speaks too many languages, and reaches the wrong people too late. This role exists to fix that.
As Harvey's first Support Operations Data Analyst, you'll own the analytics function for the Customer Experience org. You'll build and maintain the dashboards, reports, and feedback loops that tell us whether we're hitting our north stars — cSAT, TTR, QA scores, escalation rates — and surface the signal underneath the numbers so we can act on it. You'll sit within the Support Operations team, reporting to the Support Operations Manager, and work closely with Customer Experience leadership and Harvey's central data team to ensure the org is equipped with the right instrumentation as we scale.
This is a solo role. You won't have a team beneath you. You will need to be fluent enough in support analytics to hold the function independently, confident enough to push back on how metrics are framed, and fast enough to operate at Harvey's pace.
WHAT YOU'LL DO
- Own recurring reporting for Customer Experience — weekly, monthly, and QBR-ready — tailored to ops, leadership, and cross-functional audiences
- Translate support data into clear narratives: what's happening, why, and what to do about it
- Track and maintain north star metrics: cSAT, TTR by tier, QA scores, bug escalation rate to EPD, and First Response Time
- Build and maintain self-serve dashboards that give the ops team and leadership real-time visibility into support performance
- Partner with Support Systems to ensure Zendesk is instrumented to capture the data we need
- Work with Harvey's central data team to connect support data to broader product and customer data sources
- Identify and close data collection gaps — if we can't measure it, help define how we should
- Design feedback loops that connect support signals to Product, Engineering, and Customer Success
- Quantify the operational cost of product bugs, feature gaps, and onboarding failures
- Contribute to QA analytics as the QA program matures
- Track ticket deflection, AI/chatbot performance, and self-service effectiveness
- Measure the impact of AI-driven support — containment rate, escalation rate from AI interactions, resolution quality — and surface findings that drive how we tune and invest in those tools
- Support ad hoc analytical requests from the Support Operations Manager, Customer Experience leadership, and senior stakeholders
WHAT YOU HAVE
Required
- 3–5 years of experience in analytics, with at least 2 years directly in support operations, customer success operations, or a closely adjacent function
- Fluency in support platform data — you know how Zendesk (or equivalent) is structured, what data it produces, and what it doesn't
- SQL proficiency — you can write complex queries against large datasets without hand-holding (CTEs, window functions, joins across schemas)
- Dashboard experience — you've built and maintained operational dashboards in Looker, Tableau, Sigma, Omni, or equivalent
- Reporting for multiple audiences — you know the difference between what a frontline manager needs and what a CFO needs, and you build accordingly
- Strong data storytelling — you don't just present numbers, you write the narrative
- Comfort operating solo — you don't need a team around you to deliver, and you don't need a ticket to tell you what to look at
Strong Plus
- Experience with Python for data manipulation or automation
- Familiarity with dbt or similar data transformation tooling
- Experience building or contributing to QA analytics programs
- Background supporting enterprise SaaS or AI-native products
- Experience working with Zendesk APIs or extracting data beyond standard reporting
Key Attributes
- AI-native: you use AI tooling actively in your analytical workflows — not as a novelty, but as a force multiplier
- Pace: you move in hours and days, not weeks. You surface findings before anyone has to ask
- Judgment: you know which metrics matter and which are vanity. You push back when framing is wrong
- Clarity: your outputs are direct, jargon-free, and actionable. You write for the reader, not yourself
- Ownership: you treat Customer Experience analytics as your problem to solve, not a ticket queue to process
COMPENSATION
$112,000 - $168,000 USD
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922].
#LI-ML1
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Location: Hybrid - Riyadh, Saudi Arabia
MinIO is the data and memory foundation for enterprise AI. Built for the speed, scale, and economics that AI and analytics demand, AIStor and MemKV unify every layer of the data stack, from agentic and inference context memory to tables and objects across core, edge, and cloud. Trusted by 77% of the Fortune 100, MinIO is redefining how AI factories, intelligent applications, and autonomous agents secure, persist, and unlock the full value of their data.
We’re building the complete data stack for AI — exascale object store, table store, agent memory, and brain: every layer of how AI stores, retrieves, and thinks over data. Hard problems with no existing answers. Bring your own.
What you will do:
You’ll own problems end-to-end — the kind most engineering teams never get close to. No ticket queues, no standups, no permission. Just you, the codebase, and a team of people who care as much as you do. Everyone here is an IC, an architect, or a lead — most are all three.
Your Skills and Experience:
Deep OS internals. Networking from the socket layer up. Strong opinions on memory, concurrency, and correctness — and the humility to revise them. You’ve debugged something no one else could reproduce.You’ve read source code not because you had to, but because it was bothering you.
Key Competencies:
Fluent in ≥2 languages, honest about tradeoffs
You debug by understanding, not by guessing
Grit: you start hard things and finish them
Curiosity you genuinely can’t switch off
Low ego, extremely high standards
You write code the next engineer respects
Operating Systems, Networking, Systems Programming, Distributed Systems, Storage Engines, Vector/Graph Retrieval, Low -Latency I/O, and Protocol Design
MinIO Engineering Culture:
All leads, architects and ICs — no managers
Full ownership from day one, no permission
needed
Decisions made by the people doing the work
Craftsmanship is a first-class engineering
concern
No sprints. No standups. No Jira.
What We Offer:
Health Care Plan (Medical, Dental & Vision)
401K with 3% Contribution
Pre-IPO Stock Options
At least 12 Public Holidays
Flexible Time Off
Please include a sample of your work. Examples could include a repo, write up, postmortem, We care more about the work you have done more than a resume. - Submissions without samples will not be considered
Equal Opportunity Policy (EEO)
MinIO is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.
Location: Dubai, United Arab Emirates
Müller's Solutions is seeking a skilled Privileged Access Management (PAM) Engineer to design, implement, and manage PAM solutions, ensuring secure access to critical systems and compliance with policies. The ideal candidate has hands-on experience with Delinea products such as Secret Server, Privilege Manager (EPM), Remote Access Service (PRA), and capabilities in password management, session monitoring, and privileged account governance. They will collaborate with infrastructure, security, application, and operations teams to maintain PAM controls aligned with cybersecurity best practices.
Key Responsibilities:
Design, deploy, and maintain Delinea PAM solutions to secure privileged accounts across the enterprise.
Develop and enforce privileged access policies ensuring compliance with security standards.
Monitor access activities, analyze logs, and respond to security incidents.
Collaborate with IT, security, and audit teams to implement access controls and workflows.
Perform regular audits of privileged accounts to identify and mitigate risks.
Provide technical support, training, and documentation for PAM tools and best practices.
Integrate Delinea PAM with Microsoft Active Directory, Entra ID, LDAP, MFA, SIEM, and ITSM platforms.
Automate account onboarding, configure APIs, connectors, and support scripting for PAM administration.
Conduct discovery, onboarding, and migration of privileged accounts from legacy systems.
Implement PAM controls aligned with cybersecurity frameworks; support audit and compliance efforts.
Provide Level 2/3 support, troubleshoot issues, monitor platform performance, and participate in on-call duties.
Develop HLD/LLD documentation, implementation guides, SOPs, and conduct knowledge transfer sessions.
Requirements
Requirements:
Mandatory
• Minimum 5-8 years of IT/Cybersecurity experience.
• Minimum 3 years hands-on experience with Delinea PAM solutions.
• Experience implementing PAM solutions in large enterprise environments.
• Experience with Active Directory, MFA, and Identity integrations.
• Experience onboarding privileged accounts across Windows, Linux, databases, network devices, and
applications.
Education
• Bachelor's Degree in Computer Science, Information Technology, Cyber Security, or related field.
Certifications (Preferred)
At least one of the following:
• Delinea Certified Administrator (Preferred)
• Delinea Secret Server Certification
• Delinea Privilege Manager Certification
• Microsoft Certified Certifications
• CISSP (Preferred)
• CISM (Preferred)
• Security+ (Preferred)
Benefits
1- Attractive Package.
2- Family Benefits.
3- Visa.
4-Air Tickets.
Location: United States; United Kingdom; Canada
About Huzzle
At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and EdTech. Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team.
Role Type: Full-time
Engagement: Independent Contractor
About the company
Our client is a results-driven growth partner and consultancy specializing in scaling high-performance firms within the home services and insulation industry. By leveraging a proprietary AI-powered expansion engine, the team transforms business operations through sophisticated paid acquisition, sales process optimization, and automated infrastructure. They go beyond traditional lead generation to focus on high-intent customer acquisition and talent recruitment, helping businesses transition from local operations to dominant market players.
Operating as a fast-growing scale-up, the company is built on a culture of efficiency, transparency, and direct communication. The team is passionate about removing operational friction and creating "packed pipelines" that allow their partners to focus on excellence in delivery. This is an ideal environment for innovative professionals who value measurable impact, high-level strategy, and the opportunity to build scalable systems that drive significant revenue growth in a specialized, recession-proof niche.
Job Summary
We are seeking a high-performance Senior Media Buyer to spearhead growth for a portfolio of rapidly scaling insulation businesses. This is not a "maintenance" role—it is a high-ownership position for a strategic thinker who excels at Meta ads and high-ticket lead generation. You will be responsible for driving qualified applications and booked inspections for clients currently generating $400k–$3M in yearly revenue. This is a client-facing role with a clear career trajectory into management as the agency grows.
Key Responsibilities
Full ownership of Meta ad performance across roughly 10 active client accounts.
Build, test, and iterate on sophisticated lead gen funnels, VSLs, and booked-call systems.
Own the client relationship directly, leading weekly strategy calls and reporting on performance with clarity and confidence.
Monitor budgets, pacing, and delivery to ensure optimal funnel economics and ROI.
Collaborate with the founder to develop high-converting ad creative, hooks, and messaging.
Systematize and document internal processes to facilitate the onboarding of junior support.
Proactively identify and resolve underperformance issues before they are flagged by leadership.
Requirements
Proven track record managing $30k–$100k+ in monthly Meta ad spend across multiple accounts.
Deep experience in the home services, home improvement, or contractor verticals.
Mastery of high-ticket, considered-purchase sales cycles and lead quality optimization.
Experienced in mentoring junior media buyers or reviewing account work.
Strong communication skills with the ability to lead client calls independently without hand-holding.
A structured testing methodology (no ad-hoc experimentation).
Extreme ownership mentality: you are tenacious about getting results and proactive in your strategy.
Nice-to-Haves
Experience specifically within the insulation or HVAC niche.
Advanced knowledge of VSL funnel architecture and optimization.
Ability to turn complex data sets into simple, actionable narratives for clients.
Proficiency in staying ahead of Meta platform changes and implementing iOS-resilient tracking strategies.
Benefits
💻 Fully Remote: Work from anywhere with international teams
🤝 Peer Community: Connect with high-performing sales professionals in our network
🧭 Ongoing Support: Receive guidance from Huzzle before and after placement
💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals
Location: Berlin, Germany
Via nutzt innovative Technologien, um den Transport weltweit zu revolutionieren. Von der Veränderung des täglichen Pendelns einer einzelnen Person bis zur Reduzierung des kollektiven ökologischen Fußabdrucks der Menschheit – wir haben große Ziele.
Als
Werkstudent:in im Bereich Recht
wirst du ein wichtiger Teil unseres dynamischen, globalen Rechtsteams und arbeitest eng mit einem Team hoch engagierter Anwält:innen in Europa, Israel und New York zusammen. Dabei hilfst du uns, unser Geschäft in Europa weiter auszubauen und neue Projekte auf den Weg zu bringen. Mit Unterstützung eines Mentors lernst du die vielschichtigen Aufgaben eines Syndikusanwalts kennen und erhältst gleichzeitig einzigartige Einblicke in die Rechtsabteilung eines schnell wachsenden Scale-ups.
Dies ist eine Station im Rahmen des Rechtsreferendariats mit einer Mindestdauer von 6 Monaten, idealerweise mit Start im September 2026. Die Stelle ist in Berlin angesiedelt, im hybriden Arbeitsmodell.
Deine Aufgaben:
Unterstützung bei geschäftskritischen Vertragsangelegenheiten:
Prüfung und Koordination des Vertragsabschlusses (z. B. NDAs, SaaS-Verträge, Lieferantenverträge, Mietverträge), unter Sicherstellung der Genauigkeit und Identifizierung zentraler Risiken
Unterstützung bei der Pflege und Organisation von Vertragsdatenbanken und -vorlagen
Unterstützung beim Management wichtiger regulatorischer und Compliance-Themen:
Durchführung rechtlicher und regulatorischer Recherchen in für Via relevanten Bereichen, u. a. Transportnetzwerkdienste, Gig Economy, Versicherungen, Open-Source-Daten und Datenschutzrecht
Überwachung der Einhaltung der DSGVO und anderer Datenschutzgesetze durch die Kontrolle von Auftragsverarbeitungsverträgen (DPAs) mit Lieferanten und Partnern
Unterstützung der internen Compliance und Corporate Governance von Via
Vorantreiben von Effizienz- und Prozessverbesserungen:
Aufbau von Kenntnissen interner Datenbanken und Systeme, um aus Daten Erkenntnisse für Geschäftsentscheidungen zu gewinnen
Entwicklung und Umsetzung von Maßnahmen zur Effizienzsteigerung des Rechtsteams durch Ticketing-Systeme, Dokumentenmanagement- und Ablagesysteme sowie KPI-Tracking
Führende Unterstützung bei der kontinuierlichen Pflege und Verbesserung von Formularen, Prozessen und Systemen
Unterstützung bei der Weiterentwicklung rechtlicher Prozesse zur Steigerung von Skalierbarkeit und Effizienz
Administrative Unterstützung sowie Mitarbeit an Sonderprojekten nach Bedarf
Dein Profil:
Du befindest dich aktuell im Rechtsreferendariat und bist berechtigt, eine Station bei einer internen Rechtsabteilung zu absolvieren
Erste Erfahrung mit oder Interesse an Tech-, Datenschutz- oder Regulierungsrecht; Kenntnisse der DSGVO von Vorteil
Sicherer Umgang mit internen Systemen und Daten - du kannst aus Datenbanken Erkenntnisse für Geschäftsentscheidungen ableiten
Klare und präzise Kommunikation, schriftlich wie mündlich, mit der Fähigkeit, komplexe rechtliche Konzepte für fachfremde Stakeholder verständlich zu machen
Organisiert und detailorientiert, mit der Fähigkeit, mehrere Arbeitsstränge gleichzeitig zu managen
Proaktiv und lernbereit - du übernimmst Eigeninitiative und schöpfst Energie aus der Vielseitigkeit einer internen Rechtsrolle in einem schnell wachsenden Unternehmen
Fließend in Englisch und Deutsch; weitere Sprachkenntnisse von Vorteil
Was wir bieten:
Eine Rolle mit echtem Impact: Via's Technologie bewegt täglich Millionen von Menschen weltweit - und du sorgst dafür, dass das Team dahinter reibungslos funktioniert.
Gehalt: 20 € pro Stunde
Hybrides Arbeiten in einem schönen Büro im Herzen Berlins an der Chausseestraße, wöchentliche Team-Lunches und gemeinsames Frühstück -und
ein Team, das du kennenlernen solltest
Urban Sports Club-Mitgliedschaft
Bei Via entwickeln wir Technologien, die die Mobilität auf der ganzen Welt zum Besseren verändern. Unser Fokus liegt auf dem Bereich Transit-Tech, denn wir sind überzeugt, dass die Zukunft des Transports in der geteilten, dynamischen und öffentlichen Mobilität liegt. Unser Ansatz reduziert Kohlenstoffemissionen in überlasteten Städten, verringert die Abhängigkeit von privaten Autos und ermöglicht allen Menschen den Zugang zu effizienten und erschwinglichen Möglichkeiten der Fortbewegung.
Bereit für die Fahrt?
Wir wertschätzen Vielfalt und begrüßen alle Bewerbungen unabhängig von Geschlecht, Nationalität, ethnischer und sozialer Herkunft, Religion/Weltanschauung, Behinderung, Alter sowie sexueller Orientierung und Identität
#LI-RB1 #LI-Hybrid
#LI-RB1
Location: Berlin, Germany
Via is on a mission to create public transportation systems that provide far greater access to jobs, healthcare, and education. Our platform serves as the technology backbone for modern transit networks, transforming antiquated and siloed public transportation systems into smart, data-driven, and efficient digital networks. With hundreds of agency partners around the world, Via is recognized as the leading transportation technology and service provider globally.
As a
Working Student, Legal
(Legal Trainee or Rechtsreferendar:in) you will be a critical member of our dynamic and global legal team, working closely with a team of highly dedicated lawyers in Europe, Israel, and New York. You will help us grow our business in Europe and continue to launch new projects. Supported by a mentor, you will get to know the multi-layered tasks of an in-house lawyer, as well as gain a unique insight into the legal department at a high-growth scale-up.
For the Legal Trainee (Rechtsreferendar) track, this is a minimum 6-month "Rechtsreferendariat-Station," ideally starting in September 2026. The role is based in Berlin in a hybrid setup.
About the role:
Support business-critical contracting:
Review and coordinate completion of contracts (e.g. NDAs, SaaS agreements, vendor contracts, lease agreements), ensuring accuracy and flagging key risks
Help maintain and organise contract databases and templates
Assist with managing key regulatory and compliance matters:
Conduct legal and regulatory research across areas relevant to Via's business, including transportation network services, gig economy, insurance, open source data, and data privacy laws
Track compliance with GDPR and other data privacy laws through oversight of Data Protection Agreements (DPAs) with vendors and partners
Support Via's internal compliance and corporate governance
Drive improvements in efficiency and process:
Develop a working knowledge of internal databases and systems in order to pull insights from data in making business decisions
Develop and implement ways of improving the efficiency of the legal team through ticketing systems, document management and filing systems, and KPI tracking
Lead and support the continuous maintenance and improvement of forms, processes, and systems
Assist with the development of legal processes to enhance scalability and efficiency
Provide administrative support and assist with special projects, as needed
About You:
Currently completing your legal study or Rechtsreferendariat (eligible to undertake a station placement with an in-house legal team)
Some exposure to or interest in tech, data privacy, or regulatory law; familiarity with GDPR is a plus
Comfortable working with internal systems and data — you're able to pull insights from databases to support business decisions
A clear and precise communicator, both written and verbal, who can translate complex legal concepts for non-legal stakeholders
Organised and detail-oriented, with the ability to manage multiple workstreams at once
Proactive and eager to learn — you take initiative and are energised by the variety of an in-house legal role at a fast-moving company
Fluent in English and German; additional languages are a plus
What we offer:
Becoming part of a company that was awarded for its commitment to social good
Salary range: €20 an hour
Hybrid work in a lovely office in the heart of Berlin on Chausseestraße, weekly team lunches and shared breakfasts — and a
team you should get to know
Urban Sports Club membership
There has never been a more exciting time to be on the cutting edge of public mobility. Ready to join the ride?
Via is an equal opportunity employer.
#LI-RB1 #LI-Hybrid
#LI-RB1
Location: Cairo, Egypt; Alexandria, Egypt
Insurance is one of the world's largest industries and one of the most painful to interact with
. Paper forms. Sluggish call centres. Three-week underwriting cycles. Claims that vanish into queues. We are rebuilding all of it on top of a modern platform and AI agents that actually do the work, not pretend to.
You will not be picking up tickets. You will be deciding what to build, prototyping it on Monday, shipping a draft to a real customer by Friday, and improving it from real usage. We expect you to push the product, the codebase, and the way we work.
Why This Role Exists
We are looking for someone who treats AI as a creative material, not a feature on a roadmap. The next year of insurance is being defined right now. What gets automated, what gets reimagined, what gets thrown out. We want builders who want to be in that room and ship the answer.
The team is small. The mandate is large. If your highest-energy work has historically come from solving real problems end to end, this is the seat.
What You Will Do
Own outcomes, not tickets.
Pick the biggest lever for our customers each sprint and drive it to live. Surface the next one yourself.
Build with AI as a primary tool, not a chatbot bolt-on.
OCR, document understanding, generation, agent loops, evaluation harnesses. You decide where each fits.
Ship prototypes fast, then make them production-grade.
A working demo on day three beats a perfect plan on day ten.
Work directly with customers.
You will see real claims, real underwriting screens, real broker workflows. You will watch users hit dead ends and decide what to fix.
Raise the bar on the codebase.
Reviews, refactors, testability, observability. Not as policy, as habit.
Push the team forward.
Skills, agents, internal tools, engineering standards. Propose them, build them, get them adopted.
Who You Are
You ship.
Ideas without execution do not count for you.
High agency.
You do not wait for a card to be assigned. You see what is worth doing and you start.
Strong opinions, loosely held.
You make calls with incomplete information and change your mind when the evidence shifts.
Curious about the domain.
Insurance is messy and full of weird incentives. That intrigues you, not annoys you.
Fluent with AI.
You have shipped something real with LLMs or agents. You know where the magic ends and where you have to engineer carefully.
Care about humans on the other end.
Insurance done right gives people peace of mind in their worst weeks. That is the point.
Your Toolbox
We use Node.js + TypeScript + Nest.js on the back end, Vue (and some React) on the front end, GraphQL, MongoDB, Docker, AWS. AI work spans OpenAI, Anthropic, Google, plus a growing set of in-house skills and agents. You do not need to have used every piece. You do need to be the kind of engineer who picks up a new tool and is shipping with it within the week.
What We Expect at This Level
6+ years building production systems.
Track record of complex, customer-facing software shipped, not just maintained.
Real AI experience.
You have built and shipped at least one substantive AI-driven feature. POCs that died in a notebook do not count here.
Strong fundamentals.
OO, design patterns, testing, web security, performance. You do not need a refresher.
Cloud comfort. AWS, Azure, or GCP.
At least one in depth, the rest enough to hold a conversation.
Communication.
You can explain a tradeoff to a non-technical stakeholder in two minutes and to an engineer in one.
Not Suitable for the Role If…
You prefer tickets assigned to you over choosing what to build.
You measure your work in lines of code, not outcomes.
You see AI as a buzzword to put on your CV rather than a tool you have actually used in anger.
You want a process-heavy environment with detailed specs handed down from product.
You are looking for a maintenance role on a finished platform.
Why CoverGo
Insurance is the rare industry where AI can save people hours of their worst weeks. We are already shipping AI-powered claims, underwriting, distribution, and document automation to enterprise carriers across five continents. The platform is real. The customers are real. The next chapter is yours to help write.
Why You'll Love Working Here
100% Remote Work
15 Days of Annual Leave
Annual Performance Bonus
Remote Work Allowance
Anniversary Bonus
Health Insurance
Company Activities and Events
Learning and Development Plan
CoverGo Company
Video
By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s
Privacy Notice
and you consent to the processing of your data as part of this application.
Location: Lisbon, Portugal; Porto, Portugal
Insurance is one of the world's largest industries and one of the most painful to interact with
. Paper forms. Sluggish call centres. Three-week underwriting cycles. Claims that vanish into queues. We are rebuilding all of it on top of a modern platform and AI agents that actually do the work, not pretend to.
You will not be picking up tickets. You will be deciding what to build, prototyping it on Monday, shipping a draft to a real customer by Friday, and improving it from real usage. We expect you to push the product, the codebase, and the way we work.
Why This Role Exists
We are looking for someone who treats AI as a creative material, not a feature on a roadmap. The next year of insurance is being defined right now. What gets automated, what gets reimagined, what gets thrown out. We want builders who want to be in that room and ship the answer.
The team is small. The mandate is large. If your highest-energy work has historically come from solving real problems end to end, this is the seat.
What You Will Do
Own outcomes, not tickets.
Pick the biggest lever for our customers each sprint and drive it to live. Surface the next one yourself.
Build with AI as a primary tool, not a chatbot bolt-on.
OCR, document understanding, generation, agent loops, evaluation harnesses. You decide where each fits.
Ship prototypes fast, then make them production-grade.
A working demo on day three beats a perfect plan on day ten.
Work directly with customers.
You will see real claims, real underwriting screens, real broker workflows. You will watch users hit dead ends and decide what to fix.
Raise the bar on the codebase.
Reviews, refactors, testability, observability. Not as policy, as habit.
Push the team forward.
Skills, agents, internal tools, engineering standards. Propose them, build them, get them adopted.
Who You Are
You ship.
Ideas without execution do not count for you.
High agency.
You do not wait for a card to be assigned. You see what is worth doing and you start.
Strong opinions, loosely held.
You make calls with incomplete information and change your mind when the evidence shifts.
Curious about the domain.
Insurance is messy and full of weird incentives. That intrigues you, not annoys you.
Fluent with AI.
You have shipped something real with LLMs or agents. You know where the magic ends and where you have to engineer carefully.
Care about humans on the other end.
Insurance done right gives people peace of mind in their worst weeks. That is the point.
Your Toolbox
We use Node.js + TypeScript + Nest.js on the back end, Vue (and some React) on the front end, GraphQL, MongoDB, Docker, AWS. AI work spans OpenAI, Anthropic, Google, plus a growing set of in-house skills and agents. You do not need to have used every piece. You do need to be the kind of engineer who picks up a new tool and is shipping with it within the week.
What We Expect at This Level
6+ years building production systems.
Track record of complex, customer-facing software shipped, not just maintained.
Real AI experience.
You have built and shipped at least one substantive AI-driven feature. POCs that died in a notebook do not count here.
Strong fundamentals.
OO, design patterns, testing, web security, performance. You do not need a refresher.
Cloud comfort. AWS, Azure, or GCP.
At least one in depth, the rest enough to hold a conversation.
Communication.
You can explain a tradeoff to a non-technical stakeholder in two minutes and to an engineer in one.
Not Suitable for the Role If…
You prefer tickets assigned to you over choosing what to build.
You measure your work in lines of code, not outcomes.
You see AI as a buzzword to put on your CV rather than a tool you have actually used in anger.
You want a process-heavy environment with detailed specs handed down from product.
You are looking for a maintenance role on a finished platform.
Why CoverGo
Insurance is the rare industry where AI can save people hours of their worst weeks. We are already shipping AI-powered claims, underwriting, distribution, and document automation to enterprise carriers across five continents. The platform is real. The customers are real. The next chapter is yours to help write.
Why You'll Love Working Here
100% Remote Work
15 Days of Annual Leave
Annual Performance Bonus
Remote Work Allowance
Anniversary Bonus
Health Insurance
Company Activities and Events
Learning and Development Plan
CoverGo Company
Video
By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s
Privacy Notice
and you consent to the processing of your data as part of this application.
Location: Warsaw, Poland; Kraków, Poland; Wrocław, Poland
Insurance is one of the world's largest industries and one of the most painful to interact with
. Paper forms. Sluggish call centres. Three-week underwriting cycles. Claims that vanish into queues. We are rebuilding all of it on top of a modern platform and AI agents that actually do the work, not pretend to.
You will not be picking up tickets. You will be deciding what to build, prototyping it on Monday, shipping a draft to a real customer by Friday, and improving it from real usage. We expect you to push the product, the codebase, and the way we work.
Why This Role Exists
We are looking for someone who treats AI as a creative material, not a feature on a roadmap. The next year of insurance is being defined right now. What gets automated, what gets reimagined, what gets thrown out. We want builders who want to be in that room and ship the answer.
The team is small. The mandate is large. If your highest-energy work has historically come from solving real problems end to end, this is the seat.
What You Will Do
Own outcomes, not tickets.
Pick the biggest lever for our customers each sprint and drive it to live. Surface the next one yourself.
Build with AI as a primary tool, not a chatbot bolt-on.
OCR, document understanding, generation, agent loops, evaluation harnesses. You decide where each fits.
Ship prototypes fast, then make them production-grade.
A working demo on day three beats a perfect plan on day ten.
Work directly with customers.
You will see real claims, real underwriting screens, real broker workflows. You will watch users hit dead ends and decide what to fix.
Raise the bar on the codebase.
Reviews, refactors, testability, observability. Not as policy, as habit.
Push the team forward.
Skills, agents, internal tools, engineering standards. Propose them, build them, get them adopted.
Who You Are
You ship.
Ideas without execution do not count for you.
High agency.
You do not wait for a card to be assigned. You see what is worth doing and you start.
Strong opinions, loosely held.
You make calls with incomplete information and change your mind when the evidence shifts.
Curious about the domain.
Insurance is messy and full of weird incentives. That intrigues you, not annoys you.
Fluent with AI.
You have shipped something real with LLMs or agents. You know where the magic ends and where you have to engineer carefully.
Care about humans on the other end.
Insurance done right gives people peace of mind in their worst weeks. That is the point.
Your Toolbox
We use Node.js + TypeScript + Nest.js on the back end, Vue (and some React) on the front end, GraphQL, MongoDB, Docker, AWS. AI work spans OpenAI, Anthropic, Google, plus a growing set of in-house skills and agents. You do not need to have used every piece. You do need to be the kind of engineer who picks up a new tool and is shipping with it within the week.
What We Expect at This Level
6+ years building production systems.
Track record of complex, customer-facing software shipped, not just maintained.
Real AI experience.
You have built and shipped at least one substantive AI-driven feature. POCs that died in a notebook do not count here.
Strong fundamentals.
OO, design patterns, testing, web security, performance. You do not need a refresher.
Cloud comfort. AWS, Azure, or GCP.
At least one in depth, the rest enough to hold a conversation.
Communication.
You can explain a tradeoff to a non-technical stakeholder in two minutes and to an engineer in one.
Not Suitable for the Role If…
You prefer tickets assigned to you over choosing what to build.
You measure your work in lines of code, not outcomes.
You see AI as a buzzword to put on your CV rather than a tool you have actually used in anger.
You want a process-heavy environment with detailed specs handed down from product.
You are looking for a maintenance role on a finished platform.
Why CoverGo
Insurance is the rare industry where AI can save people hours of their worst weeks. We are already shipping AI-powered claims, underwriting, distribution, and document automation to enterprise carriers across five continents. The platform is real. The customers are real. The next chapter is yours to help write.
Why You'll Love Working Here
100% Remote Work
15 Days of Annual Leave
Annual Performance Bonus
Remote Work Allowance
Anniversary Bonus
Health Insurance
Company Activities and Events
Learning and Development Plan
CoverGo Company
Video
By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s
Privacy Notice
and you consent to the processing of your data as part of this application.
УдалённоHave managed remote, globally distributed teams that work asynchronously across disparate time zones
География найма не уточнена
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
УдалённоseniorUnited States; United Kingdom; Canada
Canada - Remote; Germany - Remote; United Kingdom - Remote; United States - Remote; We are unable to provide visa sponsorship or relocation for this role
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