Location: New Delhi, India; Mumbai, India; Pune, India; Warsaw, Poland; Tbilisi, Georgia
Top 3 Reasons To Join Us
Competitive Salary
100% Remote
Working on the latest tech for the Insurtech Market Leader
About Us
At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone.
We are a leading global no-code insurance platform for health, life, and P&C
We’re the winner of the Insurtech of the Year in all of Asia and other awards globally
We work with insurance enterprise clients such as AXA, Bupa, MSIG, Dai-ichi, Bank of China Group Insurance, and many more
We're an international, diverse team of over 120 people with 30 nationalities and team members working remotely from all over the world
We are fully funded and backed by reputable VC funds and strategic institutional investors
We have a global presence in Asia, EMEA and the Americas
We’ve grown our annualized revenue by over 30x since January 2021
We’re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world
What You Will Do:
Work with clients and technical resources to identify their business problems and develop the right approach and analytical solution
Plan and design simple to semi-complex business processes and system modifications
Make recommendations to improve and support business activities
Gather business requirements through a variety of techniques such as work sessions and interviews then analyze and document client complex business requirements and processes; communicate these requirements to appropriate parties
Create complex test case scenarios to be used in testing; monitor/oversee the testing of business applications to verify that all client requirements are incorporated into the system design
Develop business requirements documents/user stories to support the required modifications
May plan, allocate and monitor work of other business analysts
Understand simple to complex systems and related data to surface actionable insights, demonstrate sound judgment and decision-making skills
Assist in providing time estimates for project related tasks
Aid in updating process and procedural documentation
Develop basic understanding of technical development cycle of mobile application or web portals
Support QA, UAT and Release phases of the project via defect analysis, change maintenance, etc.
Any other task that may be assigned
What We Need:
Minimum 5 years of experience as Business Analyst
Minimum 1 year of experience in AI projects in the insurance domain
A degree in Business, IT or any relevant field
Previous experience working in the health insurance industry is required
Insurtech experience is preferred
Health Insurance-related domain certification from INS/LOMA or III is an added advantage
Knowledge of business analysis concepts of defining requirements, translating to technical solutions, and Agile approach to prioritizing work to epics, sprints
Business analysis skills including facilitation, process documentation, requirements gathering and user acceptance testing
Good organizational/time management skills to prioritize work and meet deadlines within defined timeframes
Experience in an Agile and/or Scrum environment is a must
Basic knowledge in generating process documentation, and document system functionality, data integration, and workflow
Excellent written and verbal communication skills in English
Technical writing skills is a plus
Why You'll Love Working Here
Fully Remote
Flexible Leave
International Environment
Competitive renumeration package
Performance Bonus
Company activities and events
Learning and development plan
Remote work allowance
CoverGo Company
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Location: New York, New York, United States
About the Role
iCapital is looking to hire a Assistant Vice President or Vice President to join the new m+ ETF Distribution team responsible for growing assets under management (AUM) by promoting and distributing the firm’s new ETF lineup to financial advisors, RIAs, Broker Dealers, and TAMP platforms. This role sits at the intersection of capital markets, portfolio construction, and relationship management. This high-performing leader will report to the m+ funds Division Manager and will work on a team of professionals who are making an impact at iCapital. This individual is strategic, entrepreneurial, hands-on, and able to manage multiple clients, while developing new relationships.
Responsibilities
Leverage a consultative sales process to acquire new relationships, expand existing client relationships, and service existing clients.
Onboard new clients, through existing wealth management home office relationships, to iCapital’s best-in-class network.
Work with other Sales teams within iCapital to expand the reach of m+ ETFs within the iCapital ecosystem.
Educate advisors on the merits of m+ ETFs as part of client portfolios.
Travel regularly in the market to meet with advisors and clients to support new and existing business.
Utilize contact management system to capture information, schedule follow up activities and manage pipeline.
Collaborate with the Marketing team on email campaigns, webinars, industry events, etc.
Collect and maintain competitor analysis.
Qualifications
7+ years of experience working within the investment industry in a client facing capacity (i.e. external wholesaler, internal wholesaler, relationship manager, product specialist),ETF Sales experience is highly preferred, capital markets or derivatives experience is a plus
Bachelor’s degree in a related field
Demonstrated ability to work in a fast-paced entrepreneurial environment and follow a rigorous sales process
Strong understanding of ETFs (structure, tax treatment, liquidity), portfolio construction, and creation/redemption mechanics
Self-sufficient and able to explain complex concepts simply
Proven sales or relationship-management experience
Comfortable with market volatility and performance conversations
Able to sell and provide support across multiple m+ ETF strategies
Series 7 and 63 licenses are required
Experience covering RIA aggregators, larger RIAs, and independent broker-dealers and strong relationships with these client segments is preferred
Willing to travel 50% of the work schedule
Benefits
The base salary range for this role is $130,000 to $185,000. iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).
We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.
For additional information on iCapital, please visit
https://www.icapitalnetwork.com/about-us
Twitter: @icapitalnetwork | LinkedIn:
https://www.linkedin.com/company/icapital-network-inc
| Awards Disclaimer:
https://www.icapitalnetwork.com/about-us/recognition/
iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Location: New York, New York, United States
About the Role
iCapital is looking to hire an Associate or Assistant Vice President to join the Structured Investments m+ ETF Distribution team to focus on sales in the Western region. This high-performing leader will oversee all aspects of selling the ETF strategies to financial professionals, primarily in the RIA and IBD space. This role will report to the m+ funds Division Leader and will work on a team of professionals who are making an impact at iCapital. This individual is strategic, entrepreneurial, hands-on, and able to manage multiple clients, while developing new relationships.
Responsibilities
Leverage a consultative sales process to acquire new relationships, expand existing client relationships, and service existing clients.
Work with other Sales teams within iCapital to expand the reach of m+ ETFs within the iCapital ecosystem.
Educate advisors on the merits of m+ ETFs as part of client portfolios.
Onboard new clients to iCapital’s best-in-class network to support business growth.
Travel regularly in the market to meet with advisors and clients to support new and existing business.
Utilize contact management systems to capture information, schedule follow up activities and manage pipeline.
Collaborate with the Marketing team on email campaigns, webinars, and industry events.
Collect and maintain competitor analysis.
Qualifications
2-5+ years of experience working within the investment industry in a client facing capacity (i.e. external wholesaler, internal wholesaler, relationship manager, product specialist), asset management or ETF sales experience is highly preferred, structured investments experience a plus
Bachelor’s degree in a related field
Demonstrated ability to work in a fast-paced entrepreneurial environment and follow a rigorous sales process
Self-sufficient and a self-starter
Able to sell and provide support across multiple m+ ETF strategies
Series 7 and 63 licenses are required
Experience covering RIA aggregators, larger RIAs, and independent broker-dealers and strong relationships with these client segments is preferred
Willing to travel 25% of the work schedule
Benefits
The base salary range for this role is $85,000 to $125,000. iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).
We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.
For additional information on iCapital, please visit
https://www.icapitalnetwork.com/about-us
Twitter: @icapitalnetwork | LinkedIn:
https://www.linkedin.com/company/icapital-network-inc
| Awards Disclaimer:
https://www.icapitalnetwork.com/about-us/recognition/
iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Location: Limassol, Cyprus
Workplace: remote
Our team is developing a payment gateway for accepting funds from users on behalf of merchants, as well as sending funds from merchants to users. The system involves storing user payment data and is subject to PCI DSS compliance. It contains multiple integrations with payment systems, providers, and other gateways and processors, including 3DS.
Job Responsibilities
Performing quality control of a high-load web project at all stages of development, from requirements analysis to production release;
Automating API testing using Kotlin/Java and developing auxiliary utilities;
Automating UI testing using Playwright and developing auxiliary utilities;
Code reviewing of automated tests;
Conducting manual testing;
Building releases, deploying to environments, verifying tasks in production, and ensuring system stability and operability;
Processing and resolving requests from technical support and users as part of daily duties;
Monitoring and improving metrics and dashboards (Grafana);
Analyzing bugs and incidents in production (Kibana);
Writing detailed and clear bug and incident reports in Jira;
Creating and maintaining Postman collections;
Regularly updating and enhancing the overall test plan in Allure TestOps;
Assisting in onboarding new QA engineers and ensuring test quality;
Defining technical epics, preparing tasks, and conducting estimations.
You’ll thrive here if you have
3+ years of experience as a QA Engineer;
Practical experience in test automation using one of the popular programming languages (preferably Kotlin or Java, possibly JavaScript);
Practical experience in UI test automation using a popular framework (preferably Playwright);
Practical experience in manual testing;
Experience testing integrations with external systems;
Practical experience using AI-assisted coding tools (Copilot, ChatGPT, Codeium, etc.) to improve speed and quality of development;
Ability to critically review AI-generated code, ensuring production-ready quality and compliance with company standards;
Knowledge and ability to apply various test design techniques;
Knowledge of HTTP protocol methods, features, and semantics;
Knowledge of SQL at the level of writing queries with various JOIN operations and using indexes;
Ability to work with test management systems (e.g., Allure TestOps);
Experience with GitLab;
Experience with Postman;
Experience analyzing bugs and incidents in production (Kibana);
Experience working with metrics and dashboards (Grafana);;
English proficiency at B1 level or higher.
It can be a plus
Experience with payment gateways;
Practical skills with high-load web projects;
Experience with Jira and Allure TestOps.
Conditions
We know that great talent deserves great conditions, so here's what you can expect when joining us:
Full remote work.
Competitive compensation with a service contract.
Transparent performance reviews twice a year, with bonus opportunities and salary adjustments.
An annual allowance that you can use for home office improvements, sports activities, equipment upgrades, and more—tailor it to what benefits you most.
Investment in your development: paid language courses, access to various learning platforms, and a mindfulness benefit, including psychological support with 50% coverage.
Career growth in a fast-scaling project with opportunities to influence technical decisions.
A culture of recognition: our peer reward program celebrates contributions from across the team.
This opportunity is also available for those who already live in
Limassol,
Cyprus.
EU-based employment contract and a 3-year Cyprus work visa.
Private medical insurance for you and your family, a corporate mobile plan (unlimited in Cyprus with roaming included), and interest-free support for car purchases.
50% coverage of school and kindergarten fees for your children.
Fully covered sports benefits, and also access to in-house electric scooters and bike rentals.
A fully equipped office in Limassol’s city center, with everything you need for deep work and collaboration.
Free catering in the office and an in-house coffee bar with high-quality drinks and a health bar stocked with nutritious snacks.
Benefits are provided in accordance with the company’s policies and eligibility criteria.
Recruitment process
HR interview (40 min);
Technical interview (1.5 hour);
Test task;
Recommendations check;
Job Offer.
Location: Belfast, Northern Ireland, Remote
Workplace: remote
Olo is a leading SaaS platform accelerating digital transformation in the restaurant industry, by helping customers deliver more personalised and profitable guest experiences. As a result, our digital ordering, payment, and guest engagement solutions enable brands to do more with less and make every guest feel like a regular.
While our roots are in NYC, we’re intentionally investing in Belfast and Northern Ireland as a key hub, with an established leadership presence, a local team, and community for the long term. This role is fully remote, offering you flexibility to work from anywhere within NI.
Your new role
In this role, you’ll join as a Software Engineer II on the ‘In-Store’ team, which is part of the wider ‘Order’ engineering group.
The ‘In-Store’ squad is focused on building and improving the integrations with new and existing POS (Point of Sale) partners and systems. They ensure that customers orders successfully flow through the Olo ecosystem by driving critical SLA’s, uptime and overall performance when it comes to integrations with external partners.
This position is perfect for someone who has experience in the POS domain or who has been building systems that integrate with external partner platforms. You’ll have the support of a highly experienced engineering team consisting of 8 engineers in one squad. On a management level, the team is led by a dedicated Engineering Manager.
How you’ll make an impact
Deliver small-to-medium features independently, with some initial guidance, contributing across much of the team’s domain and components.
Collaborate with Product, Design, and other stakeholders to drive requirements for the work in front of you, and make well-reasoned design decisions at a component level, understanding the trade-offs involved.
Write code with testability, readability, and maintainability in mind.
Troubleshooting and incident management efforts, helping Senior Engineers to resolve critical production issues and improving system reliability.
Actively seek to learn about new technologies and trends, and how they might apply to what we’re building.
Use Claude Code and GitHub Copilot extensively as part of your daily workflow, and grow your skills through hands-on AI training designed to help you become highly effective with modern AI coding agents and IDEs.
Consistently contribute to team documentation, sharing what you learn with the squad, and providing useful feedback during estimation and in retrospectives.
Active participation in on-call duties is required, with specific responsibilities determined by your assigned team and area of expertise.
What will set you up for success
Bachelor’s Degree in Computer Science, Software Engineering or equivalent practical experience.
3+ years of experience in software engineering post graduation.
Good experience in the .Net and C# ecosystem.
Working knowledge of architectural patterns for distributed systems (e.g., microservices, event-driven architecture using Kafka), and the judgement to weigh design trade-offs at a component level.
Experience working with cloud infrastructure and services (e.g., AWS, Kubernetes/EKS) and implementing DevOps best practices using CI/CD tools like GitHub Actions, Octopus Deploy, and Terraform.
About Olo
Olo is a leading restaurant technology provider with ordering, payment, and guest engagement solutions that help brands increase orders, streamline operations, and improve the guest experience. Each day, Olo processes millions of orders on its open SaaS platform, gathering the right data from each touchpoint into a single source—so restaurants can better understand and better serve every guest on every channel, every time. Over 800 restaurant brands trust Olo and its network of more than 400 integration partners to innovate on behalf of the restaurant community, accelerating technology’s positive impact and creating a world where every restaurant guest feels like a regular. Learn more at olo.com.
Applicant Privacy Notice (United Kingdom)
Location: Istanbul
Workplace: OnSite
ABOUT VOODOO
Voodoo is a consumer tech company founded in Paris in 2013, with one mission: entertain the world. Today we are 1,000 people, generating $1b+ in annual revenue, profitably. Our games and apps have passed 7 billion downloads and reach 200 million+ active users every month, making Voodoo the #3 mobile publisher worldwide in downloads, after Google and Meta. We were backed by Goldman Sachs, Tencent and GBL along the way.
TEAM
Our Publishing team plays a strategic role in the company’s growth and serves as a launchpad for Voodoo’s future leaders. The team brings together top performers from consulting, finance, and tech with a passion for product, creativity, and execution.
As part of Voodoo Gaming, we partner with studios to build games from initial concept to global launch, aiming to create the next wave of iconic, chart-topping hybrid-casual hits. With over eight billion downloads and counting, Voodoo is the world’s largest and most successful hybrid-casual publisher.
You will join a small and high-performing team, and your main responsibilities will include:
ROLE
- Building and nurturing Voodoo’s presence in Türkiye by developing strong relationships across the local gaming ecosystem(s)
- Building and managing a portfolio of high-potential studios through outreach, industry events, and partnerships
- Guiding studios on product strategy and creative direction to build strong, marketable prototypes
- Leading launches as a product director by forming the product vision, roadmap, and execution to scale successful titles
- Owning the full P&L of your games, with a sharp focus on growth and profitability
- Driving deep market and competitive analysis to identify trends and define what we should build next
PROFILE
- Master’s degree from a top-tier business or engineering school
- 3+ years in a fast-paced, analytical environment (e.g. consulting, banking, tech, or startups)
- Strong strategic thinking, product sense, and analytical skills
- Passionate about gaming and consumer products
- Comfortable owning complex projects and working autonomously
- Excellent communication and interpersonal skills
- Fluent in English; Turkish
- Personal passion or creative interest outside of work
BENEFITS
- Competitive salary upon experience
- Multinet Lunch voucher
- Premium healthcare coverage for you and your family
- Gym reimbursement
Location: Shanghai, China
About the company:
Our client is a fast-growing tech start-up founded in 2018 that is revolutionizing the way travelers stay connected to the internet abroad. With a diverse team of over 500 professionals globally, they are helping millions of travelers stay connected across more than 180 destinations worldwide.
About the team:
Our client is a global eSIM provider structured with functional teams that drives growth across all countries. The International Growth team sets and drives the strategy behind our client's expansion into new and current geographies, ensuring cross-functional alignment and local market success.
About the Role:
You will be responsible for leading the entire product development lifecycle for the Chinese market. This includes overseeing the technical readiness and comprehensive localization across our core platforms: Web, iOS, and Android.
A primary responsibility will be the successful integration with key super-apps and the development of associated Mini Programs. Crucially, you will ensure that all product development meets the necessary technical compliance and regulatory standards for operation in China.
You will develop a deep understanding of Chinese users and business needs. You will translate those insights into real product localization decisions, guiding Engineering, Global Product, and local vendors toward the right priorities and execution.
This is a product strategy and hands-on role. You will work directly with Engineering, Global Product, and local vendors to implement China-specific infrastructure and tooling (analytics/tracking, integrations, performance constraints), coordinate local payment methods, and drive Mini Programs implementations and super-app distribution. You are not just defining strategy, you are driving implementation and ensuring delivery.
China is a priority growth market, and this role offers a unique opportunity to build the China product from the ground up, high visibility, real leadership, and a steep learning curve that will accelerate your professional growth, while shaping a category-leading experience and helping establish our client as a market leader in one of the world’s most competitive digital ecosystems.
Key Responsibilities:
Local Tech Stack Readiness (China)
Define and guide implementation of China-specific tech stack requirements (e.g., hosting approach, analytics/tracking, attribution, integrations, performance constraints).
Partner with Engineering and local vendors to coordinate technical readiness plans, timelines, and delivery.
Ensure data flows, measurement, and monitoring are reliable within China constraints (including troubleshooting and iteration post-launch).
Identify delivery risks early, unblock execution, and escalate trade-offs impacting launch quality or timeline.
Product Localization (Web + iOS + Android)
Lead China product localization end-to-end across Web, iOS, and Android, translating deep user understanding into requirements that improve trust, usability, and conversion.
Drive UX/UI and journey adaptations (language nuance, onboarding, checkout, post-purchase, support flows, trust signals) aligned with Chinese user behaviors and ecosystem expectations.
Partner with Global Product and Design to prioritize China-specific requirements and ensure high-quality delivery with Engineering.
Run lightweight discovery and iteration cycles using data, user insights, and experimentation to continuously optimize the localized experience.
Define and track product performance KPIs for China (e.g., conversion, activation, retention, payment success), ensuring measurable business impact.
Experiment.
Local Payments Integration
Lead integration and optimization of local payment methods (WeChat Pay, Alipay, UnionPay where relevant).
Ensure a seamless, high-conversion checkout experience and strong payment success rates.
Coordinate with Finance and Ops on payment operations (reconciliation, refunds, chargebacks/disputes where applicable) and ensure issues are resolved quickly.
Mini Program & Super-App Integrations
Own product requirements and delivery coordination for WeChat Mini Program development, ensuring parity with core journeys and conversion-quality UX.
Enable integrations with super-apps and travel platforms, translating partner requirements into internal specs and delivery plans.
Ensure integrations are measurable (tracking/attribution), scalable, and maintained with clear ownership and release processes.
Ecosystem & Support Readiness
Ensure product workflows and tooling support China customer service needs (handoffs, FAQs, refunds, troubleshooting flows) in partnership with Support.
Align localized product journeys with support processes and quality standards to protect customer experience at scale.
Monitor post-launch signals (CSAT, complaints, reviews, refund drivers) and drive improvements with Product/Support/Engineering.
Requirements
Must-Have:
6+ years of Product Management experience in B2C digital products, with hands-on ownership of China localization or market launch initiatives.
Proven experience localizing and optimizing product experiences for Chinese users across Web + iOS + Android (UX/UI, language nuance, trust signals, onboarding, checkout, post-purchase and support flows).
Strong working knowledge of China’s local tech stack and ecosystem constraints, including hosting considerations (e.g., ICP implications / Great Firewall constraints), codes, analytics/tracking and attribution tooling used in China, and common integration patterns.
Demonstrated delivery experience building and scaling China-specific capabilities end-to-end, including: WeChat Mini Program launch or scaling from scratch; Local payment integration and checkout performance optimization; super-app / travel platform integrations.
Strong data and KPI fluency to define success metrics and drive iteration (conversion, activation, retention, payment success rate, attribution accuracy, funnel drop-offs).
Technical fluency to work effectively with Engineering and vendors on APIs, data flows, integrations, and performance trade-offs; able to translate partner/market requirements into clear product specs.
Experience operating in a global, cross-border environment, aligning China-specific needs with global product and engineering teams and driving delivery through collaboration.
Agile leadership skills, with the ability to operate autonomously and lead cross-functional delivery teams.
Experience collaborating cross-functionally with Product, Engineering, Finance, Ops, and Support teams.
Fluent Mandarin and English.
Nice-to-Haves:
Background in travel, telecom, fintech, cross-border e-commerce, or consumer apps in China.
Experience working with local vendors or development agencies in China.
Technical background or prior experience in Engineering.
Location: Al Jubail, Saudi Arabia
Eram Talent is inviting applications for the role of Mechanical Maintenance Technician. This position is essential for maintaining and optimizing the operational efficiency of mechanical systems within industrial environments. As a Mechanical Maintenance Technician at Eram Talent, you will be responsible for executing maintenance tasks, troubleshooting mechanical issues, and ensuring compliance with safety regulations.
Join us at Eram Talent, where we prioritize connecting skilled professionals with leading employers in the Oil & Gas, Engineering, and Technology sectors. This role offers the opportunity to showcase your skills and grow in a dynamic work environment.
Key Responsibilities
Conduct routine mechanical maintenance and repairs on plant machinery and equipment.
Diagnose mechanical failures and perform necessary repairs to minimize downtime.
Perform preventive maintenance tasks according to established schedules and procedures.
Collaborate with engineering teams to optimize equipment performance and longevity.
Maintain clear and accurate records of all maintenance work performed.
Ensure compliance with health and safety standards in all maintenance activities.
Participate in continuous improvement initiatives to enhance operational efficiency.
Requirements
Technical diploma in Mechanical Engineering or a related field.
At least 3 years of experience as a Mechanical Maintenance Technician in an industrial setting.
Strong understanding of mechanical systems and maintenance best practices.
Proficient in troubleshooting and repairing mechanical equipment.
Familiarity with hydraulic and pneumatic systems is a plus.
Excellent problem-solving skills and attention to detail.
Good communication skills and ability to work as part of a team.
Commitment to safety and compliance with regulations.
Location: Bengaluru, India; Al Khobar, Saudi Arabia; Riyadh, Saudi Arabia
Eram Talent is actively searching for a
Master Data Management (MDM) Administration Analyst
to join our growing team. In this role, you will play a vital part in ensuring data accuracy and consistency across the organization by managing MDM processes and tools. Your responsibilities will include the administration of MDM systems, as well as supporting data governance initiatives to improve data quality and compliance.
The MDM Administration Analyst will work closely with various stakeholders to facilitate data entry, maintenance, and retrieval, while also providing analysis and reporting on master data issues. You will be key in developing and enforcing MDM policies and procedures to streamline master data management practices across the organization.
If selected, the work location would be onsite at
Saudi Arabia.
Key Responsibilities
Implement solutions developed for issues related to physical servers, virtual servers, and data storage centres.
Contact vendors to obtain proposals, evaluate proposal, and prepare reports on technical feasibility to support the selection process.
Conduct installation, configuration, and operation of new systems.
Monitor the operation of the systems, and carry out the necessary maintenance for the systems and the backup systems.
Create email accounts for non-automated process including contractor and staff emails.
Add users, deletes users, creates groups, and disables account on separation.
Search solutions for internet security, antivirus’ software, and firewalls.
Prepares technical reports to support management with selecting the right data solutions.
Configure firewalls, implement the system polices and password policy, update antiviruses to ensure that user data is protected.
Recommend training and development interventions for team members to build their capabilities.
Contribute to the identification of opportunities for the continuous improvement of systems, processes and practices to increase productivity and operational efficiency.
Implement all relevant Department’s policies, processes, procedures and instructions so that work is carried out in a controlled and consistent manner.
Contribute to the preparation of timely and accurate reports to meet departmental requirements, policies and standards.
Requirements
Bachelor’s degree in Information Technology, or equivalent from a recognized and accredited university is required
Certified Data Privacy Solutions Engineer (CDPSE) preferred
5 years experience in the same Field
Experience in Information Technology / Data Solutions / Networking / Cybersecurity preferred
Experience with MDM tools and platforms like Informatica, SAP, or Oracle.
Strong analytical skills with the ability to manage and analyze large data sets.
Familiarity with data governance concepts and practices.
Excellent communication and collaboration skills to work effectively with stakeholders.
Proficiency in SQL and data manipulation tools.
Detail-oriented with a strong focus on data quality and integrity.
Ability to work independently and handle multiple priorities simultaneously.
Location: Al Khobar, Saudi Arabia; Dammam, Saudi Arabia
Eram Talent is seeking a meticulous and skilled Data Control Analyst to join our esteemed consultancy team. As a key player in our efforts to maintain data integrity and compliance, the Data Control Analyst will be responsible for developing and managing data control frameworks that ensure data accuracy and security across the organization.
Key Responsibilities
Contribute to the maintenance of data dictionaries, data classification, and data lifecycle management practices.
Maintain the physical security and system security including physical security of servers and data user security
Support data stewardship activities, including data standardization, metadata management, and data quality improvement initiatives.
Utilise identity and access management (IAM) systems to verify user identity and control data access.
Make sure data is consistent with the common data models
Perform data validation and auditing using standard technical processes resolving data quality issues.
Identify the most suitable data storage system ensuring that versions of the data with a history of changes are stored alongside the latest version.
Employ the necessary technologies and processes to safeguard data, both physically and digitally.
Stay updated on KSA data protection laws, regulations, and industry best practices to ensure compliance.
Assist in data extraction, transformation, and loading (ETL) processes for business intelligence and reporting purposes.
Collaborate with business users to understand their data requirements and provide data insights as needed.
Recommend training and development interventions for team members to build their capabilities.
Contribute to the identification of opportunities for the continuous improvement of systems, processes and practices to increase productivity and operational efficiency.
Implement all relevant Department’s policies, processes, procedures and instructions so that work is carried out in a controlled and consistent manner.
Contribute to the preparation of timely and accurate reports to meet departmental requirements, policies and standards.
Requirements
Bachelor’s degree in Information Technology, or equivalent from a recognized and accredited university is required
5 years experience in the same Field
Certified Data Privacy Solutions Engineer (CDPSE) preferred
Demonstrated proficiency in oral and written English
Experience in Information Technology / Data Solutions / Networking / Cybersecurity preferred
Proficiency in data analysis tools and software (SQL, Excel, etc.).
Excellent analytical and problem-solving skills.
Strong attention to detail and organizational skills.
Effective communication skills with the ability to collaborate across teams.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As a Senior Data Center Capacity Delivery Manager at Anthropic, you'll embed with project teams responsible for delivery of leased and partnered data center capacity. Your primary role will be to lead these partners to deliver on the fastest possible schedule while maintaining a safe construction site and protecting the finished quality of the data center.
Additionally, you'll validate deal readiness, coordinate complex stakeholder relationships, maintain regular reporting and status tracking, and ensure seamless transitions from project inception through operational readiness.
This role offers a unique opportunity to shape how Anthropic secures and activates the compute infrastructure needed to train and deploy frontier AI systems, working at the intersection of real estate, construction, and cutting-edge AI infrastructure.
Responsibilities
Lead. This is a role where leadership trumps management and process. You will be at one or more project sites 60% of the time or more and expected to shape the culture, approach, and aggressiveness that define those extended site teams. The goal is to impact outcomes in a favorable manner.
You are expected to be a force multiplier that develops and enhances the skillset that development partners, general contractors, and key trades bring to the project(s) you are overseeing. That means being a subject matter expert in the various cross functional elements of data center delivery and increasing the team's performance with that knowledge and commitment to alignment.
Confirm deal readiness and serve as the gatekeeper to validate transaction viability from Letter of Intent (LOI) through lease execution, ensuring all predevelopment, planning, technical and business requirements are met before commitment
Partner with landlords and developers post-deal to serve as Anthropic's primary point of contact, coordinating across internal stakeholders, tracking construction progress, and facilitating critical information exchange between development partners and Anthropic stakeholders
Represent Anthropic in key technical and operational decisions required by partners during the development process, ensuring our infrastructure requirements are met while maintaining strong partnerships
Drive seamless handoffs to operational state with heavy focus on engagement across networking and deployment teams, enabling rapid workload turn-ups and minimizing time-to-production
Prepare and present regular executive reporting on progress versus plan for facility development, supporting forward capacity planning and strategic decision-making
Identify and mitigate risks throughout the delivery lifecycle, proactively addressing blockers that could impact timeline, cost, or technical requirements
Develop and refine standardized processes and playbooks for facility delivery, driving continuous improvement as Anthropic scales its infrastructure footprint
You may be a good fit if you
Have 10+ years of experience in the highest level of site leadership managing data center delivery, construction projects, or infrastructure deployment at scale. You won’t have a big direct team to delegate too but will instead be able to treat the entire cross functional organizations at a jobsite as your team.
Have a strong understanding of the end to end (dirt to delivery) data center development process to include entitlements and permitting, planning and supply chain, execution, commissioning, and handover. You are not an administrator but an active player in the arena comfortable making decisions and guiding delivery execution without the need to consult across multiple external parties.
You should understand data center design and construction as a simple and repeatable process that allows you to build and optimize delivery without a playbook and with minimal processes and tools handed to you. If you can think about building a data center the way kids might build a tree fort or construct a lego set, we want to talk.
In this role you will often be on an island and responsible for your own destiny. You will have free reign to develop your own approaches with the mission guidance being your only bounds. No one will be there to empower your efforts; you will create your own influence by building relationships at the site and diving in at all phases to deliver success.
You must thrive operating with ambiguity and have a willingness to own project outcomes, knowing that the buck stops with you.
In this role, it is imperative that you are as comfortable in boots on a job site working to solve productivity issues with a group of blue collar trades as you are working across executives at development and contractor partners to optimize contract and commercial structures that incentivize delivery speed.
It's a bonus if you
Understand AI/ML infrastructure requirements, including high-density power and advanced cooling systems
Have had leadership positions (General Superintendent, Project Manager) within a GC or EPC on hyperscale data center projects or in self performance of hyperscale data center development projects.
Prioritize extreme ownership and have the ability to create winning cultures across diverse job sites.
Are deeply familiar with lease negotiations, construction contracts, or real estate development processes and have strategies to move those arrangements from traditionally transaction and risk managed arrangements to collaborative efforts that align incentives around accelerated delivery of facilities
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$365,000
—
$435,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
The Account Abuse team is tasked with ensuring Anthropic’s computing capacity is allocated fairly, minimizing resources available to bad actors and preventing them from coming back. As a software engineer on this team, you will build systems that gather and analyze signals at scale, balancing tradeoffs and coordinating closely with stakeholder teams throughout the company. The ideal candidate can see things from opponents’ perspectives, understand their means and motives, and anticipate their responses to countermeasures.
Responsibilities:
Ability to think and respond quickly in a rapidly-changing greenfield environment
Jumping into other teams’ code to identify key points to gather signals or introduce interventions with minimal impact on their systems’ stability, complexity, or overall architecture
Integration with third-party data-enrichment vendors
Creating monitoring dashboards, alerts, and internal admin UX
Working closely with our data scientists to maintain situational awareness of our current usage patterns and trends, and with our Policy & Enforcement team to maximize the impact of their human-review availability
Building robust and reliable multi-layered defenses
Lead root cause analyses and deep-dive investigations into account activity to identify abuse patterns, uncover emerging attack vectors, and inform both immediate enforcement actions and longer-term systemic defenses
You may be a good fit if you have:
A Bachelor’s degree in Computer Science, Software Engineering or comparable experience
Proficiency in Python, SQL, and data analysis tools.
Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders
Strong candidates may also:
8+ years of industry software engineering experience (not including internships and co-ops), preferably with a focus on integrity, spam, fraud, or abuse detection.
Have experience building trust and safety mechanisms for and using AI/ML systems, such as fraud-detection models or security monitoring tools or the infrastructure to support these systems at scale
Have worked closely with operational teams to build custom internal tooling
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Cairo, Egypt
Müller's Solutions is actively searching for a knowledgeable Software Testing Trainer to join our team. In this role, you will be responsible for
1. Adapt training methods to different learner needs and skill level
2. Design and deliver training programs aligned with learning objectives
3. Facilitate learner engagement and interactive training sessions
4. Assess learning outcomes and provide constructive feedback
5. Evaluate training effectiveness and continuously improve content
6. Deliver testing training for neuro-diverse candidates
Technical Skills & Areas of Expertise:
· The instructor must be able to deliver high-quality instruction in the following areas:
· Testing Types: Functional vs. Non-functional, Regression, Smoke, Sanity, and UAT.
· Methodologies: Waterfall, V-Model, Agile/Scrum
· Test and Design Black-box (Equivalence Partitioning, Boundary Value Analysis), White-box, and Experience-based testing.
Requirements
Requirements:
. A Bachelor in Computer Science or Software Engineering
· ISTQB certified
· A minimum of 5 years of experience in Software Testing
· A minimum of 5 years of experience in professional training
· Knowledge of inclusive employment practices and workplace accommodations.
· Prior experience as an instructor, trainer, mentor, or teaching assistant
· Ability to explain technical concepts clearly and patiently
· Comfortable teaching beginners with little or no data background
· Strong written and verbal communication skills
· Experience delivering long-running or cohort-based programs
· Industry experience translating theory into practice
Benefits
Why Join Us:
Opportunity to work with a talented and passionate team.
Competitive salary and benefits package.
Exciting projects and innovative work environment.
Location: San Francisco; Toronto; New York; Montreal; Seattle
Workplace: Hybrid
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
At Baseten, we are building the global operating system for distributed, heterogeneous AI hardware. We believe that as LLM and multi-modal workloads scale, the network is the computer. We are looking for foundational engineers to lead our GPU Networking efforts, making RDMA a first-class building block in our infrastructure and unlocking the next generation of distributed inference optimizations.
Networking and compute are no longer separate disciplines; they are converging. The massive throughput of H100, B200, and NVL72 architectures enables and demands a new approach where communication is co-optimized alongside computation. We are entering an era where the network is an active accelerator, leveraging smart hardware offloads and direct interconnects to ensure that data movement operates at wire-speed.
In this role, you will go beyond network configuration to architect the software fabric that unifies thousands of GPUs into a cohesive operating system. While you will leverage the best of the open-source ecosystem, you won't be limited by it. Where off-the-shelf solutions stop, you will build from scratch, engineering the primitives required to co-optimize communication and compute for Disaggregated Serving, Wide Expert Parallelism (WideEP), and lightening cold starts.
RESPONSIBILITIES
- Make RDMA First-Class: You will work on integrating RDMA/RoCE/InfiniBand capabilities directly into our inference stack, helping us move beyond TCP/IP to unlock order-of-magnitude improvements in bandwidth and latency.
- Optimize Distributed Inference: You will implement and tune the networking layers necessary for efficient Disaggregated KV Cache Offload and WideEP, ensuring seamless communication across NVLink and InfiniBand for our MoE models.
- Enable Serverless-Grade Startup Speeds for LLMs: You will work deeply with checkpointing and storage mechanisms to enable sub-10-second startup for trillion-parameter models.
- Deep-Dive into Hardware: You will characterize and validate networking performance on bleeding-edge clusters (H100/H200, B200/B300, GB200/300 NVL72), writing the acceptance tests that ensure our hardware delivers peak achievable throughput and minimal latency.
- Build Observability: You will design the tools that let us visualize packet flow, congestion, and effective bandwidth across the GPU interconnects, helping us diagnose complex distributed system behaviors.
- Optimize Kernels: You will work with communication libraries (NCCL, NVSHMEM) and potentially write custom communication kernels to overlap compute and data transfer.
REQUIREMENTS
- You have deep experience with high-performance networking protocols (InfiniBand, RoCE v2) and understand the physics of data movement.
- You are fluent in C++ or Python, with the ability to bridge the gap between high-level logic and hardware. You have a deep understanding of the memory hierarchy in modern NVIDIA architectures (H100/Blackwell) and know how to optimize for it.
- You like going deep. You aren't afraid to dive into TensorRT-LLM source code, write custom C++ / Python bindings, or debug NVLink topology issues.
- You know when to use an off-the-shelf solution and when we need to build a custom solution because the upstream tools (like standard Kubernetes networking) are too slow for our needs.
NICE TO HAVE
- Deep knowledge of NCCL, NVSHMEM, and UCX.
- Experience with Rust for systems-level or performance-critical networking code is a strong plus
- Experience with GPUDirect Storage (GDS) or high-performance filesystems like Weka or 3FS.
- Familiarity with TensorRT-LLM, vLLM, or SGLang.
- Experience running low-level benchmarks to "qualify" new hardware clusters.
THE TEAM
- Bleeding Edge Hardware: We are preparing to bring Blackwell (B200/B300) and then Rubin architectures online. You will be one of the first engineers in the industry optimizing networking for NVL72/GB300 racks.
- We go deep: We operate at every depth. Whether it’s tuning hardware interconnects, writing custom communication kernels, or designing distributed inference strategies, we work across the entire stack to deliver performance that goes far and beyond.
- High Impact: The networking optimizations you build will directly enable features that no one else in the industry has fully mastered yet, like seamless multi-node WideEP and instant model hydration.
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Location: New York; San Francisco; London
Workplace: OnSite
ABOUT US:
AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL.
Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now.
Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale.
We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation.
Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.
THE ROLE:
We’re looking for Forward Deployed ML Engineers who want to work at the intersection of deep technical work and direct customer impact. As an ML FDE, you’ll partner with leading AI companies and foundation model labs to help them achieve state-of-the-art performance on their most demanding workloads: LLM serving, model training (SFT, RLHF), audio pipelines, scientific computing, and more. You’ll help teams reach outcomes most engineers can’t on their own.
The FDE team today includes world-class software engineers, computational scientists, ML engineers, and former founders. We’re looking for people with strong engineering fundamentals, deep curiosity across the AI stack, and energy for working directly with customers on hard problems.
WHAT YOU’LL WORK ON:
- Work hands-on with companies like Suno, Cognition, and Meta to architect and optimize production AI workloads on Modal
- Contribute to open-source projects (members of the team are active contributors to SGLang) and publish technical content that demonstrates Modal’s capabilities across the AI stack
- Collaborate with Modal’s product and sales teams, contributing to the platform as both an engineer and a product stakeholder
- Build trusted relationships with technical leaders (CTOs, VPs of Engineering, ML leads) at companies doing frontier AI work
- Conduct technical demos, experiments, and proofs of concept that make Modal’s performance advantages tangible
YOU MAY BE A FIT IF:
- You have 2+ years of professional ML engineering experience, ideally with hands-on work in inference optimization, model training, GPU programming, or ML infrastructure
- You’re familiar with the serving (e.g., vLLM, SGLang) and training (e.g., slime, verl, TRL) toolchains and can go deep on at least one (you don’t need all of them)
- You’re a strong communicator who can go deep on technical architecture with an engineering team and clearly articulate tradeoffs to technical leadership
- You have a genuine interest in working directly with customers: you find it energizing to understand someone else’s problem and help them solve it
- You’re willing to work in person in New York City, San Francisco, or Stockholm
NICE-TO-HAVE:
- Side projects, open-source contributions, or published work you’re proud of in ML or systems performance
Location: Home based - EMEA
Canonical is a leading provider of open-source software and operating systems for 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 more than 80 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 Director
, who strives for taking ownership of the development and operations of internal software products serving Canonical business and a popular security solution Livepatch. A successful candidate has a track record of delivering full-stack software services, adheres to high engineering quality standards, and continuously develops their skills as well as skills of their direct reports. This is an exciting opportunity to work with highly enthusiastic people on exciting innovative engineering solutions supporting Canonical's growth and learn a lot about engineering for the business.
The engineering director will lead the Commercial Systems unit that is conceived as three engineering teams that closely collaborate with other engineering and business teams at Canonical. Services designed, developed, and operated by the Commercial Systems unit are at the heart of Canonical business. We are looking for a software engineering director to oversee the three software teams led by software engineering managers.
The
Billing
team designs, develops, and operates a Golang service that provides a standardized and scalable capability to turn metrics into billable amounts, enable customers to see their current spend with Canonical at any time, and ensure accurate, reliable, and timely billing. The service further integrates with other engineering, business and payment systems.
The
Contracts
team designs, develops, and operates a Golang service that will become the single source of truth for all contracts with all customers. The service provides a standardized CPQ capability and stores signed contracts in a structured format. The service further integrates with other engineering and business systems including a CRM system and an accounting system.
The
Livepatch
team designs and develops a service for the delivery of Linux kernel patches to shrink the exploit window for critical and high severity Linux kernel vulnerabilities, by patching the Linux kernel between security maintenance windows, while the system runs. The engineering team behind this product develops Golang based client and backend components, while another Canonical team, the Kernel team, develops the security patches.
Location
: This role will be based remotely in the EMEA region.
The role entails
Leading multiple teams of engineers, ranging from graduates to seniors
Developing your engineering managers to maintain Canonical culture in their teams
Developing and evangelize great engineering practices and processes in the teams
Setting and implementing solid performance management with performance goals and objectives with your direct reports and teams
Identifying and measuring indicators of team health, and take action where needed
Being accountable for the product development roadmaps in the teams
Being an active part of the Commercial Systems leadership team, collaborating with other leaders
Expanding your teams by hiring great talent
Collaborating with stakeholders and product users
What we are looking for in you
Exceptional academic track record from both high school and university
Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path
Proven ability to drive multiple teams or large teams of software engineers to deliver outstanding results
Engineering experience in at least one of the following areas: Golang, Python, Java, or distributed integrations
Track record of going above-and-beyond expectations to achieve outstanding results
Professional written and spoken English with excellent presentation skills
Result-oriented, with a personal drive to meet commitments
Ability to travel internationally twice a year, for company events up to two weeks long
Nice-to-have skills
Performance engineering and DevOps/SRE experience
Experience with accounting, sales, sales operations, or other business roles
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
Employee Assistance Program
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 its 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
