Location: Remote
Workplace: Remote
We are building AI to simulate the world through merging art and science.
We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world.
World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached.
Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you.
*Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers.
ABOUT THE ROLE
We're looking for an API engineer to join our core API team and help scale Runway's platform serving millions of users and handling thousands of requests per second. You'll work on the critical infrastructure that powers both our public API (used by external developers) and internal tools, managing user data, task orchestration, billing, permissions, and asset management.
This is a high-impact role on a mature, production system. You'll build enterprise features, optimize database performance, design async workflows, and ensure reliability at scale. If you're passionate about API development, love TypeScript, and want to own systems end-to-end, this is the role for you.
A PEEK AT OUR TECHNICAL STACK
Our API endpoints for real-time collaboration and media asset management is written in TypeScript, and runs in ECS containers on AWS Fargate. We leverage multiple AWS-native components, such as S3, CloudFront, Lambda, Kinesis, and SQS, as building blocks of our infrastructure.
Our inference backend is written in Python (PyTorch, TorchScript), and is deployed across multiple clusters / cloud providers. We use Kubernetes for container orchestration, and k8s-native components such as Flyte, Kueue, and Kyverno efficient job orchestration. We invest in prometheus and grafana for monitoring, and Terraform to manage our infrastructure.
WHAT YOU’LL DO
- Own the full API lifecycle from design and implementation to monitoring, optimization, and documentation for both public and internal APIs
- Design and implement async workflows for task orchestration, content moderation, prompt enhancement, and post-processing pipelines
- Optimize database queries and improve performance for a high-traffic Postgres database
- Build rate limiting, fraud detection, and credit management systems
- Implement comprehensive API security, rate limiting, authentication, and monitoring systems to ensure reliability at scale
- Improve the public API developer experience with better documentation, SDKs, and tooling
- Improve the performance, reliability, and code quality of our codebases
WHAT YOU’LL NEED
- 3+ years of industry experience building production APIs
- Strong TypeScript experience, so you can jump in and be productive immediately
- Experience owning systems end-to-end: infrastructure, monitoring, logging, metrics, incident response
- Understanding of API design patterns, REST principles, and async workflows
- Experience with relational databases (Postgres preferred) and query optimization
- Experience architecting production-ready systems at scale using cloud primitives from AWS, GCP, or Azure
- Ability to rapidly prototype solutions and iterate on them with tight product deadlines
- Humility and open mindedness; at Runway we love to learn from one another
Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide.
There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range.
Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates.
WORKING AT RUNWAY
Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you.
We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply.
More about Runway
- Universal World Simulator https://runwayml.com/world-simulator.html
- GWM-1 https://runwayml.com/research/introducing-runway-gwm-1
- Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5
- General World Models https://runwayml.com/research/introducing-general-world-models
- Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section
- Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section
- Runway Studios https://runwayml.com/studios
We're excited to be recognized as a best place to work:
Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024
УдалённоСША; Lastly, the provided range is the expected salary for candidates in the U.S
Location: Home Based - Americas; Home based - EMEA
Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.
The company is founder-led, profitable, and growing.
We are hiring an Engineering Manager to lead one of our teams that work closely with Amazon, Microsoft, Google and other world-class cloud partners to optimize Ubuntu for their infrastructure. Our team builds, tests, and publishes the base Ubuntu images used by millions to ensure optimal performance and security in their cloud estate. We aim to deliver the very best public cloud VM experience, as well as specialized images for specific purposes on each cloud. Our goal is to celebrate and enable their particular points of differentiation on their clouds, while also ensure a common operating experience for their users.
As an engineering manager you need to bring both technical and management skills to the leadership of your team. You will also need to represent the team in direct partner engagement. You’ll be responsible for the stability and functionality that our cloud users have come to expect. You will strive to automate the delivery of existing and new Ubuntu image products applied to all modern workloads from web servers to GPU-aided AI for servers, VM’s and containers.
As an engineering manager at Canonical your primary responsibility is to the people you support: ensuring that they are growing as engineers, doing valuable work, and generally having a great time at Canonical. As a lead for strong engineers, technical leadership and a solid background in software development is a must, so that you’re able to challenge and grow your team members. You will have the opportunity to influence the culture, facilitate technical delivery, and work with your team on strategy and execution.
We work in Python and Golang, and expect engineering managers to be fluent in the language, architecture and components that their team is building with. Code reviews and architectural leadership are part of the job. As manager, the commitment to healthy engineering practices, documentation, quality and performance optimisation are equally important technical responsibilities, as is the requirement for fair and clear management, and the obligation to ensure a high performing team.
The role entails
Build and lead a team of engineers in your and similar timezones
Develop talent through coaching, mentoring, feedback and hands-on career development
Demonstrate sound engineering principles and directly contribute toward your team’s goals
Set and manage expectations with other engineering teams, management, and external stakeholders
Lead modern, agile software development practices
Ensure a healthy, collaborative engineering culture in line with the company values
Be an active part of the leadership team and collaborate with other leaders in the organisation
Build automated, highly reliable image delivery, testing and publication pipelines
Engage with many other teams at Canonical, as well as the open source community and commercial partners
Work from home with global travel up to 15% for internal and external events
What we are looking for in you
You love to mentor, develop and grow people, and have a track record of doing it
You are knowledgeable and passionate about software development
You are focused on success and the delivery of timely, high quality software
You have experience and commitment to agile development methodologies
You have a Bachelor’s or equivalent in Computer Science, STEM or similar degree
Software development experience in Python or Golang
Effective written and verbal communication skills
Practical experience with at least one of Microsoft Azure, Google Cloud, or AWS
What we offer colleagues
We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.
Distributed work environment with twice-yearly team sprints in person
Personal learning and development budget of USD 2,000 per year
Annual compensation review
Recognition rewards
Annual holiday leave
Maternity and paternity leave
Team Member Assistance Program & Wellness Platform
Opportunity to travel to new locations to meet colleagues
Priority Pass and travel upgrades for long-haul company events
About Canonical
Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open-source projects and the platform for AI, IoT, and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence; in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since our inception in 2004. Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game.
Canonical is an equal opportunity employer
We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products.
Whatever your identity, we will give your application fair consideration.
#LI-remote
Location: Paris
Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.
Your future role within QRT:
You will join a
cross-functional
team at the intersection of trading, data, and technology, playing a key role in building and enhancing the firm’s next-generation trading analytics and
PnL
infrastructure.
Your responsibilities will include:
Acting as a trusted partner to traders and quantitative researchers, providing insights on PnL, positions, and strategy performance
Leading investigations into PnL discrepancies and trading anomalies
Designing and developing dashboards and analytical tools for portfolio monitoring and management
Contributing to the evolution of QRT’s reporting and analytics platforms through automation and data architecture improvements
Performing reconciliations between trading, valuation, and risk systems
Working closely with technology teams to build scalable data pipelines and tools
Your present skillset:
Strong academic background in Engineering, Computer Science, Mathematics, Quantitative Finance, or a related field
Strong Python and SQL skills, with an interest in building scalable solutions
Exposure to AWS cloud services is a plus
Familiarity with DevOps practices and Python packaging is a plus
Strong analytical and problem-solving skills
Interest in financial markets, trading systems, and data infrastructure
Ability to thrive in a fast-paced environment with high standards of accuracy and ownership
Strong communication skills and ability to work with front-office stakeholders
Collaborative mindset and intellectual curiosity
Your enhanced experience and learning opportunities at QRT:
Direct exposure to a front-office trading environment, working closely with traders and quantitative researchers
Hands-on involvement in the development of business-critical trading analytics and PnL platforms
Opportunity to contribute to large-scale data systems supporting systematic trading strategies
Mentorship from experienced professionals across trading, quantitative research, and technology
QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.
Workplace: remote
Location
:
Quantori is an international team: we have colleagues who work not only from office but also remotely from all over the world.
Responsibilities
:
Design, build, and maintain scalable data pipelines for acquiring, integrating, and managing data from diverse data generation sources and systems (e.g., lab systems, MES, clinical supply, quality systems, external partners).
Create and optimize data flows for structured and unstructured data using Python (PySpark), R, SQL, Databricks, Snowflake, and other modern engineering tools.
Develop and maintain specific data repositories, implementing enterprise‑level data models, and creating new models as needed.
Enable AI/ML readiness by ensuring data is well‑structured, versioned, traceable, and semantically aligned with enterprise data standards.
What we expect
:
Bachelor’s degree in Engineering, Data Science, Life Sciences, Computer Science, or related field; advanced degree preferred.
6+ years
of experience in data engineering, including data modeling and database design, preferably in a scientific, manufacturing, or healthcare environment.
Proficiency with Python, R, SQL, and cloud-based architectures (AWS services, Snowflake, Databricks, Redshift) along with Spark and dbt.
Proficiency in RDS
Expertise in ETL and DWH.
Experience with NoSQL and graph databases.
English language proficiency of B2+
Strong analytical, problem‑solving, and stakeholder‑management skills, with the ability to translate discussions into actionable requirements.
Ability to drive multiple exciting projects simultaneously with strong organizational skills and adaptability.
Nice to have
:
Experience working with the histopathology domain
Experience with regulated or standards‑driven data environments, such as CDISC, HL7, FHIR, OMOP, DICOM, or manufacturing/quality data standards.
Familiarity with high‑dimensional data (e.g., imaging, sensor data, etc).
Experience with principles connecting to or feeding MLOps and model deployment workflows.
Knowledge of manufacturing systems (MES), laboratory information systems, or industrial data systems.
Exposure to knowledge graph or ontology‑driven architectures.
We offer
:
Competitive compensation
Fully remote work
Flexible working hours
Continuous education, mentoring, and professional development programs
A team with an excellent tech expertise
УдалённоseniorQuantori is an international team: we have colleagues who work not only from office but also remotely from all over the world
Location: Warsaw, PL
Workplace: remote
We are seeking an experienced DevOps Engineer to make the path of code, from a developer’s mind to our customers, as fast, secure, and efficient as possible. You will be the architect of the “software delivery highway” for a project that deploys FE & BE code to Kubernetes, using Postgres and S3 resources hosted in AWS. The code repository is hosted in Bitbucket, where the existing (inadequate) CI/CD pipelines run. The application is currently hosted on Vercel, and we intend to migrate the runtime to Kubernetes.
Responsibilities
Understand how NextJS applications are typically configured and deployed to Kubernetes.
You can define a build process for dynamic environments such as for QA which partitions resources per Jira epic, including set up and tear down of Postgres DB, S3 bucket and sensible configuration management, deploying code from a specific git branch.
You will define a release process that promotes and rolls back code and manages database migrations while minimizing disruption. This includes promoting code from QA to staging, and from staging to production.
Manage and optimize Postgres and Object Storage infrastructure connected to NextJS deployments.
Ensure compliance with AWS security best practices and governance policies.
Experience defining and debugging Bitbucket CI/CD and scripting with Bash, Python, etc.
Participate in architectural decisions, providing the infrastructure’s point of view.
Help on writing and diagnosing issues with CI/CD pipelines, preferably with Argo CD.
Work closely with development teams to ensure smooth integration of tools.
Communicate technical information effectively to both technical and non-technical stakeholder
Must-have requirements for this position
At least 5 years of experience in SRE/DevOPS role or a related field.
Strong understanding of AWS or GCP services and infrastructure management.
Strong understanding of Bitbucket CI/CD build pipelines.
Understanding of NextJS deployed to Kubernetes (Vercel understanding desirable), defining QA, staging & production environments and configuration management.
Proven track record of managing complex environments and troubleshooting technical issues.
Excellent problem-solving and analytical skills.
Strong knowledge of IaC tools (Terraform, Ansible, etc) and git.
Experience with shell scripting, python and/or automation tools.
Knowledge of cloud security best practices and compliance frameworks.
Strong communication and collaboration skills
Ability to work effectively in a fast-paced environment
Bachelor’s degree in Computer Science or equivalent experience.
What we offer
Competitive compensation based on your experience and expertise
Long-term contract-based collaboration
A collaborative and open environment
Flexible collaboration arrangements
Location: Home Based - Americas; Home based - EMEA
Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.
The company is founder-led, profitable, and growing.
We are hiring a
Software Engineer for Distributed Systems Testing
with a passion for building and validating resilient distributed systems. You drive the success of those leveraging Canonical’s Ubuntu and Juju to build multi-cloud deployable applications.
We see quality engineering as a first class engineering practice and are looking for people who can bring deep engineering insights and a data driven approach to testing, test automation, reporting and data analytics.
The Distributed Systems testing team at Canonical is responsible for the high quality of Canonical’s Cloud solutions based on for example Juju, Terraform, OpenStack, or Kubernetes. Systems are tested and deployed under highly diverse conditions, from bare metal in customer data centers to public clouds such as AWS, GCE, Azure.
As a software engineer you will have the opportunity to develop CI pipelines which power Canonical’s cloud integration testing and reporting. You will help test our products on new clouds and advance our AI/ML pipelines for automatic analysis of test results. A successful candidate is interested in tackling these problems, as well as imagining and leading new initiatives within the team and across Canonical.
The role entails
Creating automated testing approaches and infrastructure for validating reliability, performance, and resilience of cloud orchestration tools and applications
Enabling engineering teams across Canonical to develop software with confidence by making distributed system testing tooling available across the company
Enhancing continuous integration pipelines for deploying and testing Canonical’s cloud native products such as Kubeflow
Deploying, managing, and debugging highly distributed systems on clouds and bare metal
Monitoring and reporting on automated testing efforts
Collaborating daily with a globally distributed team
What we are looking for in you
Solid background in modern test processes and strategies
Experience with Python or Go development
Strong object oriented development skills
Working knowledge of continuous integration tools such as Jenkins, CircleCI, GitHub Actions
Knowledge of networking technologies and fundamentals
Solid understanding of the Linux system architecture
Complex abstract thinking
2-4 weeks of international travel travel per year
Nice-to-have skills
Ability to develop and ship modern production grade web applications
Ability to operate data platforms: key-value stores, relational or document databases, event buses
Data collection and analytics skills for large multidimensional datasets
Experience with AI/ML pipelines
Experience with cloud technologies such as OpenStack, Kubernetes, Terraform and AWS
What we offer colleagues
We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.
Distributed work environment with twice-yearly team sprints in person
Personal learning and development budget of USD 2,000 per year
Annual compensation review
Recognition rewards
Annual holiday leave
Maternity and paternity leave
Team Member Assistance Program & Wellness Platform
Opportunity to travel to new locations to meet colleagues
Priority Pass and travel upgrades for long-haul company events
About Canonical
Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open-source projects and the platform for AI, IoT, and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence; in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since our inception in 2004. Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game.
Canonical is an equal opportunity employer
We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products.
Whatever your identity, we will give your application fair consideration.
Location: Office Based - London, UK
Canonical is a global software company that publishes Ubuntu and open-source enterprise solutions for cloud, developer, IoT and AI. Ubuntu is the fastest growing Linux distribution and ranks as the number #1 OS in the cloud.
In partnership with Google, Amazon, IBM and Microsoft, Canonical helps companies become more agile, productive and adopt new technologies faster. Examples of customer success include AI, Blockchain, IoT, Advanced Robotics and self-driving cars, where Ubuntu is the preferred development platform.
The role of a Sales Development Representative at Canonical
Canonical is profitable and growing. We consider our sales development organization to be the best technology sales academy in the market, and as such, we select exceptional and ambitious candidates to join our team. You will enjoy this role if you are organized, persistent, charismatic, and hard-working. You will need to be interested in tech and its business implications. In this role, you will collaborate with a regional sales and marketing team, and your primary objective is to find customer projects that fit our product lines and spread the good name of Canonical across multiple different industries and geographies.
Click
HERE
to watch our SDR team discuss their role in Canonical
What your day will look like
Handle inbound customer inquiries across email, phone and chat
Execute outbound sales & marketing campaigns
Travel to events and conferences worldwide, presenting on booths and driving face-to-face marketing and sales opportunities
Collaborate across multiple teams and senior stakeholders to drive results
Work directly with marketing on campaigns
Research information about prospective customers
Generate a multi-million pound pipeline
Identify prospects and market trends
Help define the processes and policies for the team
Liaise with new and existing customers, setting up and attending meetings whilst actively mapping accounts to identify new opportunities
Accurately create, update, maintain and nurture leads on global opportunities
What we are looking for in you
Excellent academic results at school and university
Passion for business and technology
Commitment to continuous learning and improvement - curious, flexible, scientific
Creative problem solving and cross team collaboration
Verbal and written communication skills
Result driven with an over-achiever spirit
Persistence & perseverance
What we offer you
Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits above, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilisation. Our compensation philosophy is to ensure equity right across our global workforce.
In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, please ask your Talent Partner.
Personal learning and development budget of 2,000USD per year
Annual compensation review
Recognition rewards
Annual holiday leave
Parental Leave
Employee Assistance Programme
Opportunity to travel to new locations to meet colleagues at ‘sprints’
Priority Pass for travel and travel upgrades for long haul company events
Canonical is an equal opportunity employer
We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products.
Whatever your identity, we will give your application fair consideration.
#LI-remote
Location: Limassol
Wisebits is an international IT holding company with a strong technical team.
Our key product is a high-load video hosting platform used daily by millions of people around the world. Over more than 15 years in the market, we have built a professional team where engagement and initiative are truly valued. If you want to work with a high-load product and have the opportunity to influence its development, join us!
We are looking for an
AI Automation Engineer
who will develop and implement applied AI solutions to automate the company’s internal processes. The main goal of this role is to identify routine, time-consuming, or poorly scalable processes across different teams and turn them into reliable AI tools and services.
What you'll be working on:
Develop AI tools for automating code review and analyzing code changes.
Build systems for automatically analyzing product and technical metrics, logs, and events, including anomaly detection.
Integrate Slack, task trackers, knowledge bases, and the company’s internal services.
Develop AI agents, for example, for creating tasks from Slack threads, searching for similar bugs, and preparing concise summaries.
Automate incident analysis, identify possible root causes of failures, and prepare draft post-mortems.
Create tools for automated checks of websites, domains, and SEO metrics.
Design and develop custom MCP servers, RAG systems, and pipelines for working with corporate data.
Evaluate the quality of AI solutions, reduce error rates, and control the cost and speed of their operation.
Work with both cloud-based models and local LLMs.
What we expect from you:
Practical experience in developing solutions using AI/ML.
Experience working with APIs of cloud AI platforms, such as OpenAI and Anthropic.
Experience launching, additional training, and fine-tuning local models.
Good understanding of how LLMs, Transformer models, embeddings, and vector search work.
Experience developing custom solutions based on MCP and RAG.
Experience integrating AI services with external APIs, databases, and corporate systems.
Strong development skills in Python, TypeScript, Go, or other backend or systems programming languages will be an advantage.
Understanding of different neural network architectures, including Transformers, NLP models, RNNs, and others.
Experience with Docker, Linux, Git, and basic CI/CD processes.
Ability to turn an informal business need into a working technical prototype and then into a stable production service.
Nice to have:
Experience with LangGraph, LlamaIndex, Haystack, Semantic Kernel, or similar frameworks.
Knowledge of PyTorch, Hugging Face Transformers, PEFT, LoRA, or QLoRA.
Experience with local inference using vLLM, Ollama, llama.cpp, TGI, or similar solutions.
Experience with vector databases and search systems: PostgreSQL/pgvector, Qdrant, Milvus, Weaviate, Elasticsearch, or OpenSearch.
Skills in building LLM quality evaluation systems: evaluation datasets, automated tests, human feedback, hallucination monitoring, and regression testing.
Understanding of information security, access control, and confidential data protection when working with AI.
Experience processing logs, metrics, and time series data, as well as detecting anomalies.
Experience developing AI agents and systems using tool calling.
Understanding of observability.
Experience with Kubernetes and cloud platforms.
We are not looking for an academic researcher, but rather a strong hands-on engineer who can quickly understand new AI technologies, build prototypes, validate their value, and bring successful solutions to production.
What we offer:
Work on an ML product with millions of users and real-life metrics.
A compact team where every engineer can influence the product and develop expertise across several areas.
Experienced colleagues to discuss ideas with, think together, and launch new projects and features.
A simple structure with minimal bureaucracy and maximum responsibility.
Annual salary review and bonuses.
Benefits: medical insurance, tax compensation, learning opportunities, equipment, and language courses.
Relocation to Cyprus: visa support, relocation coverage, flight tickets, and the first month of accommodation.
Flexible schedule, a comfortable atmosphere, and team support.
Work format:
Remote / On-site
Salary:
from €3,500 net per month. The final compensation level may be higher and depends on relevant experience, skills, and overall match with the role requirements.
Location: United States
Workplace: remote
About Welo Life Sciences
Welo Life Sciences, a Welo Global brand, is a specialized language and technology partner serving pharmaceutical, CRO, and medical device organizations operating in regulated global markets. We deliver regulator-ready translation, linguistic validation, and localization solutions that support clinical trials, pharmacovigilance, regulatory affairs, labeling, and global commercialization. Our approach combines subject matter expertise with ISO-certified quality processes and technology-enabled workflows designed to integrate seamlessly into life sciences operations. With extensive experience supporting global product development and post-market requirements, Welo Life Sciences helps organizations accelerate timelines, protect data integrity, and maintain compliance across languages and regions. All solutions are delivered within a secure, audit-ready framework supported by seven ISO certifications. welolifesciences.com
PURPOSE OF THE JOB
We’re seeking a driven, relationship-focused Business Development Director to accelerate growth for Welo Life Sciences, our specialized brand in Life Sciences localization. You’ll open doors, build influential relationships, and turn complex client needs into winning solutions,owning the sales cycle from prospecting through close.
Working with marketing, production, operations, and senior leadership, you’ll have the resources and freedom to make an impact. If you’re a natural networker with a hunter mentality, strong commercial instincts, and a proven enterprise sales record, this is your opportunity to help shape the future of one of the world’s leading localization companies
Main Duties
Making contact with clients to develop and maintain the healthy working relationship with Welocalize;
Working with the Program Directors, Enterprise Project Managers and/or Project Manager (PM) to create territory, account and opportunity plans, RFPs, SOWs, quotes and ensuring that administrative details are handled effectively and efficiently;
Working within and maintaining customer data in Salesforce, including but not limited to sales forecasts, plans, activities, opportunities, pipelines and related data;
Coordinating RFP/RFQ/RFI responses, as needed;
Ability to travel approximately 30%, including customer visits and attending industry events, as required;
Working in a global team defining the underlying value proposition and service offerings for existing clients and new client targets;
In conjunction with your manager, helping to generate a higher return on our sales and marketing efforts to produce a larger volume of target clients;
In conjunction with your manager and global team, moving opportunities along the sales process to help achieve closed sales above budget (up to and including closing);
Taking responsibility and accountability for designated clients, territories, verticals, horizontals, service offerings and projects;
Collaborating with the global team to define internal and external expectations, and aligning those to specific deliverables.
Job Requirements
3+ years of enterprise-level, business-to-business sales experience in professional services and technology solutions to Fortune 500 and mid-market customers.
Experience of enterprise-level sales experience in the localization industry, within Life Sciences sector/market (required).
A minimum of two consecutive years of total closed sales in new business of $2 million/year, within the company or externally in a like industry and position.
An understanding and proven track record working in a customer-centric sales methodology.
A track record of lead generation, key account targeting, qualifying and closing new business.
An understanding of working in a customer-centric sales methodology.
Demonstrated ability to create and execute on a successful business development strategy.
Demonstrated competence in working independently to structure, negotiate, and close multi-million dollar accounts with leading companies, particularly in the technology, manufacturing, consumer, travel/hospitality, and finance industries.
Strong analytical and quantitative skills; strong bias towards data-based decision making, and comfort with financial and operational analysis.
Excellent communication and persuasion skills; demonstrated success getting buy-in for innovative and bold projects.
Tenacity and sense of urgency; the ability to make things happen quickly with large, less nimble customers.
Key Competences
Can provide persuasive communication.
Shows good negotiation skills and situational awareness.
Focuses on building a credibility-based relationship.
Understands the importance of SMART objectives and is results-oriented.
Thinks commercially and can interact with commercial people.
Strong company & industry awareness.
List of Benefits:
- Medical Insurance
- Telemedicine Benefit
- Dental Insurance
- Vision Insurance
- FSA and HSA
- Life and Disability Insurance
- Vacation Time
- Sick Time: 6 days per year
- Paid Public Holidays: 10 days per year
- Employee Assistance Program
- 401 (k) Retirement Plan
- Paid Maternity Leave
- Paid Adoption Leave
Welocalize carefully considers a wide range of compensation variables including geographic location, job scope and complexity, skill level, experience, or industry-specific knowledge. Compensation will be mutually agreed upon at offer and may be above the posted range due to compensation variables.
Compensation:
Base Salary Range $100K - $120K
Job Reference: #LI-JC1
Location: Hong Kong
Workplace: remote
Who We Are
90 Seconds is the global video creation platform, allowing brands to create quality videos anywhere in the world. 90 Seconds revolutionizes the way video production is managed by simplifying the complexity of video production. This is done through our unique technology, including an end-to-end suite of collaboration tools, which helps brands connect and track offline video shoots back to an automated online workflow.
We provide brands access to more than 13,700 creators in over 160 countries and 900 cities across categories including videographers, directors, editors, animators, drone operators, photographers, and many more.
Today, with over 40,000 videos created for the world’s biggest Brands across multiple sectors - from Amazon to Unilever, Deloitte to Marriott – our vision to create the world’s leading cloud video production platform still remains at the heart of everything we do.
We’re a 10-year-old company at the Series B+/Pre-IPO phase, have been through self-funding, then 6 years of Venture capital partnering with Sequoia Capital, Airtree Ventures, SIG, and others. We’ve had years of high growth, a dip, and recovery and are now growing as a profitable company with good margins, strong balance sheet, and about 40% growth YoY.
Your Role, Collaboration & Team
As a Business Development Manager - Enterprise you’ll work as part of a global, highly motivated sales team focussed on new account acquisition. You will be a master of lead gen, enjoy attending events and networking opportunities and help enterprise brands utilise 90 Seconds suite of video products designed to solve the complexities associated with content creation at scale.
The Business Development Manager reports to the Head of Acquisition and requires a motivated self-starter to hit the ground running. The ideal candidate will have a winning attitude and know how to prospect and open doors deep within enterprise brands. A generous base package, tools of trade, employee benefits scheme and an exciting incentive program is on offer for the right candidate. This is a national role and will involve domestic travel from time to time.
What You'll Love Doing
Develop and execute sales strategies to acquire new businesses and winback churned accounts.
Grow our regional client base, drive new business, and build close and trusted relationships with Brands.
Establish and build business relationships, effectively communicating 90 Seconds’ value proposition to Brands.
Understand the customer and their video content requirements and represent 90 Seconds as a strategic partner to them.
Successfully meet sales revenue goals and maintain growth in sales activity month over month.
Proactively maintain account plans, systems, and tools with pipeline activity.
Attend industry events and networking sessions to generate leads and develop relationships.
You’ll love social selling and creating thought leadership content to educate new prospects.
Who you are
Strong experience in new business acquisition, advertising, content creation or media, and selling to enterprise brands.
Go-getter - once you have a goal, there’s no stopping you!
Passion for the field. For you to contribute significantly to our mission, you need to be passionate about your job. This is the right opportunity for you if you find the idea of unearthing and acquiring new Brands and building strong partnerships extremely exciting - and you’ll take that enthusiasm to every aspect of the job.
Someone with a strong sense of urgency, exceptional organizational skills, and natural relationship-building ability; this is a dynamic and fast-paced role!Strong knowledge of video content production and social video ecosystem.
A natural networker with strong industry relationships within the space.
Exceptional interpersonal and presentation skills.
Our values
Be the Customer. Know, listen and live the experience of the customer. Think, talk, see, and ask like the customer. Then create value and build trust with the customer.
We are live. Our team is nimble, focused, and ready to act together now to create value for the customer, that is live in over 100 countries.
Own it. We are all owners. We focus on the core problems and opportunities that drive sustained success. We agree on a path, own the outcome, and do whatever it takes together.
Focus on what matters. Know the goals, know the numbers, know what matters, and prioritize. Visualize it for everyone so that you can align the team and make it happen.
Be Courageous. Have the courage to drive change for the business and don’t be afraid to take a risk and feel the burn. .
Location: Home based - Worldwide
Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.
The company is founder-led, profitable, and growing.
We are hiring a
Site Reliability / Gitops Engineer
to our Information Systems (IS) team.
This role is an opportunity for an “automation-first” technologist
with a
passion for Linux to build a career with Canonical and drive the success with those leveraging Ubuntu and open source products.
If you have experience of IT operations automation, Infrastructure as Code and a passion for technology, then you will enjoy working with some of the best people in the industry at Canonical.
Job Summary
The IS team at Canonical supports and maintains all of Canonical’s IT production services. The team is in charge of running services used by over 60 million Ubuntu users.
As an SRE & Gitops engineer you’ll be in a unique position to drive operations automation to the next level, both in our own private clouds as well as in the public clouds. We do this by utilizing the best of open source infrastructure as code software, software development practices such as CI/CD pipelines, and Canonical’s leading products for software operation automation.
In addition to defining the infrastructure as code, you will improve Canonical products and the open-source technologies they’re based on by providing critical feedback to developers on how their products operate at scale. This is done by submitting bugs (and sometimes writing pull requests) and collaborating on design and implementations with other teams within the company.
You’ll be part of a global team of SREs that work together and support each other to provide the best possible services to our company, Canonical’s customers and the Ubuntu Community.
Location
: This role is available remotely in any timezone.
As a Site Reliability / Gitops Engineer engineer you will
Apply your experience of IaC to develop infrastructure as code practice within IS by constantly increasing automation and improving IaC processes
Automate software operations for re-usability and consistency across private and public clouds, taking into consideration the complexities of distributed systems
Develop new features and improve the resilience and scalability of the existing cloud and container portfolio at Canonical
Maintain operational responsibility for all of Canonical’s core services, networks, and infrastructure
Develop skills in troubleshooting, capacity planning, and performance investigation, Setting up, maintaining and using observability tools such as Prometheus, Grafana, and Elasticsearch; design, implement and maintain monitoring and alerting for various systems and services
Collaborate with development teams to design service architecture, documentation, playbooks, policies and operational procedures
Provide assistance and work with globally distributed engineering, operations, and support peers
Be given uninterrupted development time to focus on larger projects and automation of manual tasks
Share your experience, know-how and best practices with other team members in design sessions, mentorship and ‘doing work together’
Carry final responsibility for time-critical escalations
What we are looking for in you
A deep experience of, and knowledge to define operations in code, using version control, peer review and CI/CD to roll out changes both to applications and infrastructure
Strong modern engineering background (peer-review, unit testing, SCM, CI/CD, Agile)
Python software development experience, with large projects
Practical knowledge of Linux networking, routing, and firewalls
Affinity with various forms of Linux storage, from Ceph to Databases
Hands-on experience administering enterprise Linux servers
Extensive knowledge of cloud computing concepts and technologies
Bachelor's degree or greater, preferably in computer science or related engineering field
Able to communicate clearly and effectively in English over email, chat, video or voice calls and in-person
Motivated and able to troubleshoot from kernel to web, and willing to ask others when appropriate
A willingness to be flexible and able to learn new things quickly
Be inspired by the needs of fast-changing environments
Happy to work within distributed teams
Be passionate and familiarized about open-source, especially Ubuntu or Debian
About Canonical
Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open-source projects and the platform for AI, IoT, and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence; in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since our inception in 2004. Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game.
Canonical is an equal opportunity employer
We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products.
Whatever your identity, we will give your application fair consideration.
#LI-remote
Location: Warsaw, PL
We are looking for a Data Engineer to design, develop, and optimize our data infrastructure on Databricks. You will architect scalable pipelines using BigQuery, Google Cloud Storage, Apache Airflow, dbt, Dataflow, and Pub/Sub, ensuring high availability and performance across our ETL/ELT processes. You will leverage Great Expectations to enforce data quality standards. The role also involves building our Data Mart (Data Mach) environment and implementing CI/CD best practices. A successful candidate has extensive knowledge of cloud-native data solutions, strong proficiency with ETL/ELT frameworks (including dbt), and a passion for building robust, cost-effective pipelines.
Responsibilities
Data Architecture & Strategy – Define and implement the overall data architecture on GCP, including data warehousing in BigQuery/Databricks, data lake patterns in Google Cloud Storage, and Data Mart (Data Mach) solutions. Integrate Terraform for Infrastructure as Code to provision and manage cloud resources efficiently. Establish both batch and real-time data processing frameworks to ensure reliability, scalability, and cost efficiency.
Pipeline Development & Orchestration – Design, build, and optimize ETL/ELT pipelines using Apache Airflow for workflow orchestration. Implement dbt (Data Build Tool) transformations to maintain version-controlled data models in BigQuery, ensuring consistency and reliability across the data pipeline. Use Google Dataflow (based on Apache Beam) and Pub/Sub for large-scale streaming/batch data processing and ingestion. Automate job scheduling and data transformations to deliver timely insights for analytics, machine learning, and reporting.
Event-Driven & Microservices Architecture – Implement event-driven or asynchronous data workflows between microservices. Employ
Docker and Kubernetes (K8s)
for containerization and orchestration, enabling flexible and efficient microservices-based data workflows. Implement
CI/CD
pipelines for streamlined development, testing, and deployment of data engineering components.
Data Quality, Governance & Security – Enforce data quality standards using Great Expectations or similar frameworks, defining and validating expectations for critical datasets. Define and uphold metadata management, data lineage, and auditing standards to ensure trustworthy datasets. Implement security best practices, including encryption at rest and in transit, Identity and Access Management (IAM), and compliance with GDPR or CCPA where applicable.
Scientists & Analytics Enablement – Collaborate with Data Science, Analytics, and Product teams to ensure the data infrastructure supports advanced analytics, including machine learning initiatives. Maintain Data Mart (Data Mach) environments that cater to specific business domains, optimizing access and performance for key stakeholders.
Requirements
1. Experience
– 3+ years of professional experience in data engineering, with at least 1 year
in mobile data
2. Technical Expertise with GCP Stack
– Proven track record building and maintaining BigQuery environments and
Google Cloud Storage based data lakes.
– Deep knowledge of Apache Airflow for scheduling/orchestration and ETL/ELT
design.
– Experience implementing dbt for data transformations, RabbitMQ for
event-driven workflows, and Pub/Sub + Dataflow for streaming/batch data
pipelines.
– Familiarity with designing and implementing Data Mart (Data Mach) solutions,
as well as using Terraform for IaC.
3. Programming & Containerization
– Strong coding capabilities in Python, Java, or Scala, plus scripting for
automation.
– Experience with Docker and Kubernetes (K8s) for containerizing data-related
services.
– Hands-on with CI/CD pipelines and DevOps tools (e.g., Terraform, Ansible,
Jenkins, GitLab CI) to manage infrastructure and deployments.
4. Data Quality & Governance
– Proficiency in Great Expectations (or similar) to define and enforce data quality standards.
– Expertise in designing systems for data lineage, metadata management, and
compliance (GDPR, CCPA).
– Strong understanding of OLTP (Online Transaction Processing) and OLAP
(Online Analytical Processing) systems.
5. Communication
– Excellent communication skills for both technical and non-technical
audiences.
– High level of organization, self-motivation, and problem-solving aptitude.
What we offer
Competitive compensation based on your experience and expertise
Long-term contract-based collaboration
A collaborative and open environment
Flexible collaboration arrangements
Location: Warsaw, PL
We are looking for a talented
Quality Assurance Engineer
to design and shape unique, user-centric software for customers across the globe.
Requirements
Strong understanding of QA principles, testing strategies, and manual testing methodologies (functional, regression, exploratory, smoke, UAT).
Experience creating and maintaining test documentation (test cases, test plans, checklists).
Experience testing Web APIs in service-oriented or microservices-based architectures.
Solid understanding of REST APIs and HTTP protocol.
Hands-on experience with API testing tools such as Postman or Swagger.
Ability to work with JSON and XML data formats.
Ability to write and execute SQL queries to validate backend data and system behavior.
Understanding of CI/CD pipelines and experience working with build and deployment processes.
Strong analytical skills, attention to detail, and ability to collaborate effectively with cross-functional teams.
Ability to manage testing activities throughout the product lifecycle, from testing to release.
English level: Upper-Intermediate or higher.
Nice to have
Experience validating ETL processes and data pipelines.
Ability to analyze and validate data using BI tools (Power BI / Microsoft BI).
Basic experience with load and performance testing tools (e.g., JMeter).
What we offer
Competitive compensation based on your experience and expertise
Long-term contract-based collaboration
A collaborative and open environment
Flexible collaboration arrangements
Location: United States
Workplace: remote
Park IP, a Welo Global brand, is a global IP solutions partner built for modern intellectual property work. The company enables legal teams to protect intellectual assets with accuracy, clarity, and confidence across jurisdictions. Trusted by Am Law 200 firms and Fortune 500 corporate legal departments, Park IP combines deep IP expertise with AI-powered workflows that reduce risk, improve predictability, and deliver greater visibility and control across the IP lifecycle, from prosecution to litigation and compliance. Its Legal Studio platform strengthens portfolio management through jurisdiction-specific coordination and real-time oversight, while experienced IP professionals remain accountable for quality and judgment. Operating under ISO-aligned quality and security standards, Park IP advances a disciplined and transparent approach to managing intellectual property worldwide. parkip.com
OVERVIEW
The Business Development Director will work as a part of the global Sales Team and is responsible for generation of new leads, closing of new business and up-selling within the current client accounts. While often working on her/his own initiative, the role requires large degree of co-operation among all stakeholders involved in the sales cycle process. Some travelling will be necessary.
ESSENTIAL DUTIES AND RESPONSIBILITIES
- Development of an effective understanding of the Company’s business and services.
- Promotion of Welocalize’ s competitive value and expertise in the localization industry.
- Researching and analyzing industries in order to identify new business opportunities.
- Establishing and maintaining client relationships.
- Working knowledge of our contact database, invoicing system, and project management software.
- Working with the Program Directors, Enterprise Project Managers and/or Project Manager (PM) to create account plans, RFPs, SOWs, quotes and ensuring that administrative details are handled efficiently and effectively.
- Working effectively as a team with operations to exceed client expectations.
- Working in a global team defining the underlying value proposition and service offerings for your existing clients and new client targets.
- In conjunction with your manager, taking responsibility and accountability for designated clients and projects.
- Collaboration with your manager and global team to define internal and external expectations and align those to specific deliverables.
- Attending and participating in weekly department meetings.
- Identifying and resolving client concerns.
- Participation in industry conferences to network, acquire industry education, build new leads and sustain current client relationships. Generating profitable sales that meets territory objectives through meeting and/or exceeding established sales targets.
- Cultivating and building strong business relationships with key decision makers.
- Management of the complete sales cycle from prospecting through to closing.
- Prospecting via phone, e-mail and other mediums; follow-up calls, emails.
- Demonstrating and educating the value of the service to the buyer.
- Obtaining and provision of territory information regarding market intelligence and penetration.
- Accurate planning and reporting of all sales related metrics.
- Generation of a qualified pipeline for new business and existing clients.
- Completing of required sales reporting and ensures accurate 90-day, 60-day and 30-day forecast updated weekly.
QUALIFICATION AND REQUIRED SKILLS
Education:
Bachelor’s degree (BA), or equivalent work experience.
Required skills:
Must have Sales Experience in the legal sector (e-discovery, litigation, and IP are the primary areas) and able to demonstrate success in a like industry and position or similar.
Must have current experience working with a sales quota on a monthly / yearly basis.
Sales experience in the Legal Services sector or in the Translation / Localization space.
Must have an understanding and proven track record working with Salesforce or related CRM.
Has track record of procuring leads on his or her own while “owning” the business.
Has track record of finding, closing and maintaining business including new and existing accounts.
Strong computer skills.
Other relevant skills:
Excellent written and verbal communication skills.
Detail oriented.
Positive attitude.
Outstanding problem solving skills.
Ability to work well with others and independently in a multi-cultural atmosphere.
List of Benefits:
- Medical Insurance
- Telemedicine Benefit
- Dental Insurance
- Vision Insurance
- FSA and HSA
- Life and Disability Insurance
- Vacation Time: unlimited
- Sick Time: 6 days per year
- Paid Holidays: 8 days per year
- Employee Assistance Program
- 401 (k) Retirement Plan
- Paid Maternity Leave
- Paid Adoption Leave
Welocalize carefully considers a wide range of compensation variables including geographic location, job scope and complexity, skill level, experience, or industry-specific knowledge. Compensation will be mutually agreed upon at offer and may be above the posted range due to compensation variables.
Compensation:
Base Salary Range $95K - $120K
УдалённоBuild and lead a team of engineers in your and similar timezones; Home based - EMEA
Paris
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