Location: Yerevan, Armenia
JetBrains has 10 offices around the world, and all of them are connected via dedicated channels, have video conferencing, telecommunication systems, and server rooms. That is 1000 workstations (Windows, Linux & macOS), 1000 virtual machines in a private VMware Cloud, and 300 virtual machines in public AWS and Azure Clouds. The JetBrains IT department is made up of 30 people who daily support the whole IT infrastructure of the company.
The team is currently looking for an IT Support Specialist.
We'll be happy to have you on our team if you:
Can take apart and repair any computer.
Can fix errors in the operating system in different ways (not only by reinstalling the OS).
Will communicate patiently and politely with users who experience issues.
Know how local networks and the Internet work.
Enjoy disassembling all kinds of devices to learn more about them.
Don't mind soldering a damaged wire.
Have strong teamwork skills: are open to diverse opinions and can support your point with sound reasoning.
Want to grow as a professional, to master and apply new approaches and technologies.
Take pride in the work you do.
Have previous IT Helpdesk Support experience.
Speak fluent English.
We'll be super excited if you:
Are eager to share your knowledge with your peers.
Can quickly come up with solutions when communicating with users remotely.
What tasks we have in store:
Providing technical support to all JetBrains employees.
Setting up new computers, fixing and modernizing the old ones.
Deciding what hardware will be a better choice for a particular case.
Advising JetBrainers on any hardware or software-related issues.
Maintaining all the IT equipment in the office: computers, monitors, laptops, printers, copy machines, phones, and video conferencing systems.
Why join JetBrains?
Strong base salary. We offer competitive pay that reflects your skills and experience.
Extra time off. More days to relax, recharge, and do the things you love.
Medical insurance allowance. Enjoy peace of mind for you and your family.
Learning and development opportunities. Access to conferences, courses, and language classes.
Relocation support. We help make your move as smooth and stress-free as possible.
Language classes. Pick up the local language or sharpen your English skills.
Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays.
Mental health support. To help you feel your best, we provide easy access to professional mental health services.
Sports benefit. Enjoy an on-site gym or sports club stipend.
Internal events. Join company-wide celebrations and team gatherings.
*Some benefits may vary depending on location.
#LI-EP1
We are an equal opportunity employer
We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.
We process the data provided in your job application in accordance with the
Recruitment Privacy Policy.
Location: New York; Massachusetts; Washington DC-Baltimore Area; Pennsylvania
Workplace: remote
About the role:
We’re an
Anthropic and AWS Partner
with 150+ certified architects. That means the newest models, real budgets, and problems that matter — without the layers, politics, and years-to-impact of a hundred-thousand-person firm. 350+ builders, 100+ customers in production, founder-led since 2010, offices across North America, LATAM, and EMEA.
Why Provectus
Frontier access
— Anthropic Preferred Partner: newest Claude models, real budgets, real problems
Real tasks (not scope), real deployment.
You go where the operating problem is and ship production code to real users, not slide decks that sit in a drive
Embedded, not engaged.
You are part of the customer’s team and inside their process — not a vendor running a project alongside it. Embedded is not staff-augmented
Autonomous.
You own the work from framing through to production, visible to clients and founders. You own the method; nobody hands you a ticket
Your experience stays portable.
Every engagement is a new problem, often in a new industry, so your skills compound instead of narrowing to one product. No legacy-maintenance grind, not a single stack
Craft & growth
— build beside senior FDEs on a Claude-certified team; a real platform (talks, OSS) to grow your name
We give you a stage:
Claude certification, conference talks, open-source contributions, published work under your own name
What You’ll Do:
Spend the first weeks of each engagement in the operator’s seat, learning the constraints from the inside, then rebuild the function from first principles alongside the client and a Forward Deployed Executive — and you are the one who builds it
Be part of the customer’s team, inside their process; work on real tasks, not scoped deliverables, and own the method autonomously
You won’t start from zero. Provectus builds industry Blueprints — working systems that have already shipped for a customer in your industry. Your engagement starts from that baseline, and what you learn in the field goes back into it
Deliver across Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare
Help shape how leading enterprises adopt AI, from strategy through first deployment; help build the tooling and frameworks of a growing AI delivery practice
What We Look For:
Typically 7+ years building software, a substantial share of it writing production code you were accountable for. You are hands-on today and intend to stay that way
Genuinely willing to spend time understanding someone else’s job before writing code; demonstrated ability to become conversant in an unfamiliar business function quickly
Shipped GenAI/LLM systems to production — not demos, not notebooks. You’ve handled the parts that get hard after the prototype works
You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured and why
Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack
Cloud-native delivery on AWS (GCP/Azure a plus), including the operational reality of a system someone else inherits
Pre-sales experience. Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO without losing either room
Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job
Hands-on experience with Claude, Claude Code, and Cowork (skills, workflows, MCP, integrations, connectors, custom harnesses)
Nice to have:
Containers and orchestration (Kubernetes/ECS) and CI/CD in production
IaC depth: AWS CDK, CloudFormation, Terraform
Open-source contributions or public writing on applied AI
What We Offer:
Full-time employment
On-site visits to clients’ facilities and our office in NYC 1/week
Unlimited Vacation policy
Generous health, vision, and dental insurance
401(K) matching plan
Base salary $180k–$200k + bonuses; OTE up to $250k. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, and abilities of the applicant, and alignment with market data
No Visa sponsorship
How we hire:
Recruitment interview.
Tech interview with our FDE (30 min).
A live engineering building session (1.5 hours). We hand you a business function and the constraints. You have to understand the job and rebuild it — then say what you’d build and how you’d know it worked.
Use AI the way you normally would; we expect AI-generated code. What we look at is how you used AI, the judgment behind your choices, and what you researched beyond what any LLM already knows.
4. Soft skills interview.
5. Offer discussion.
We’re real:
A person reads your application.
We filter out AI-generated and fraudulent submissions automatically. Every application that clears that filter is read by someone on our team
We may ask for a quick ID verification.
Fraudulent applications are common, and this protects real candidates
You’ll meet the people you’d work with.
We host AI engineering events in New York and San Francisco. We'd be happy to talk in person. Your interviews are with Pavel Borobov, Solutions Architect, and Stepan Pushkarev, Co-Founder & CEO
Location: United States; Phoenix; Seattle; California; Denver
Workplace: Remote
WHO ARE WE?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
Why this role?
As an Account Executive at Cohere you will have ownership of the full sales cycle - from identifying leads to closing deals, with State, Local and Higher Education customers in the Western region of the United States.
In this role you will be focussed on business development activity within the government departments and agencies at the state and local level, as well as within higher education within your territory..
We’re looking for an approachable and compelling communicator who loves working with SLED customers to uncover their needs and feels comfortable developing tailored value propositions around how Cohere’s platform can help them drive better citizen outcomes. You’ll lay the foundation for Cohere’s growth by owning your territory and collaborating with teammates across Customer Success, Sales Development, Marketing, and Sales Engineering. You’ll be the voice of the field and help our Product and Engineering teams prioritize the Cohere roadmap with customer-centric care. In this highly self-directed role, you will thrive in a quickly evolving environment.
As an Account Executive, you will:
- Drive net-new customer acquisition through targeted outbound activity, senior leader engagement, and relationship building across SLED organizations.
- Develop and execute a sales plan and prioritization for the SLED market in your territory, identifying pathways and partners to scale growth regionally.
- Act as a trusted advisor and thought partner to SLED customers and prospects by understanding their goals and shaping AI solutions that deliver measurable value
- Work closely with channel and local partners, particularly Distributors and VARs as well as major system integrators to scale outreach, accelerate adoption, and maximize customer success
- Leverage senior-level relationships with executives and government decision-makers to drive strategic opportunities and long-term partnerships
- Collaborate with Product and Engineering teams on strategic efforts to deliver enterprise and public-sector solutions
- Partner with SDRs and Marketing to drive top-of-funnel activity and overall territory growth
- Own the full sales cycle; including discovery, technical and business validation, proof-of-concept, procurement, and deal close within a team-selling environment
You may be a good fit if you have:
- 5+ years of direct public sector sales experience in the SLED Market, with a proven track record of closing $2M+ annual quotas.
- Deep knowledge of SLED procurement cycles and decision-making processes, how to work with resellers, VARs and distributors.
- Established regional network, including state and local departments and agencies, prime contractors, and industry associations.
- Experience selling SaaS, AI/ML, or enterprise software solutions to government clients.
- High tolerance for ambiguity, you are both a strategist and a hands-on operator capable of building a market from the ground up
- Strong organizational skills, with the ability to manage multiple internal and external stakeholders across fast-moving deals
- Creativity and strong technical acumen to structure unique, mutually beneficial partnerships
- Excellent communication skills, you listen deeply, understand what matters to senior decision-makers, and confidently present to both technical and non-technical audiences
- Preference given to candidates within California, Texas, Washington, Arizona and Colorado with willingness to travel (25-35%).
Cohere is committed to fair and transparent pay practices. The salary range listed for this role reflects the expected base compensation. Actual compensation offered will be determined by factors such as location, level, job-related knowledge, skills, education, and experience.
FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS:
- A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
- Full health and dental benefits, including a separate budget for mental health.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top-up for up to 6 months, for either parent.
- Annual enrichment benefits:
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
Education & learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days!)
- Budget for traveling to other offices if you are remote, plus an annual company offsite.
HOW AND WHERE WE WORK:
- Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
- For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
- For those not near an office: a co-working benefit so you can work alongside others in your city.
- Everyone receives a $500 home office stipend to set up your workspace properly.
If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.
We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.
We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
Location: Tallinn, Estonia
Are you looking for the next professional opportunity, that will challenge you and advance your career?
Join our team now!
Tickmill is looking to hire a
Data Analyst
to mainly c
ollaborate with stakeholders and Product Owners/Analysts to understand their data needs and provide actionable insights based on data analysis.
About Tickmill.
Tickmill is an award-winning, multi-regulated broker offering access to a broad range of asset classes, including CFDs on Forex, Stocks, Indices, Commodities, Cryptocurrencies, and Bonds, as well as Exchange Traded Derivatives like Futures & Options).
Founded in 2014, the Tickmill Group employs over 330 professionals across offices in London, Cyprus, Poland, Estonia, Seychelles and several other locations worldwide.
Our culture is built on trust, transparency, and high standards. We bring together ambitious professionals who are looking for an environment that supports them to dominate in their fields.
Our diverse, multilingual teams are focused on innovation, delivering bold excellence, and raising the bar wherever we can.
We offer competitive benefits packages, frequent team initiatives, and opportunities for professional growth.
Join the Tigers!
What does the role look like?
The
Data Analyst
will have the chance to:
• Collaborate with stakeholders and Product Owners/Analysts to understand business requirements and support data-driven decision-making.
• Analyze large and complex datasets to identify trends, patterns, and actionable insights.
• Develop and maintain dashboards, reports, and visualizations to effectively communicate findings to stakeholders.
• Support the implementation of data-driven solutions that improve business performance and operational efficiency.
• Contribute to analytics projects related to product performance, client behavior, acquisition funnels, and client lifecycle analysis.
• Ensure data accuracy and consistency through validation and quality checks.
• Work closely with BI team members to improve reporting processes and analytical capabilities.
• Stay up to date with industry trends, analytical techniques, and data visualization best practices.
What do you need to succeed in this role?
• Bachelor's degree in a quantitative field such as Mathematics, Statistics, Computer Science, Information Systems, or a related discipline.
• Minimum 2–4 years of experience as a Data Analyst or in a similar analytical role, preferably within the Finance/FX industry.
• Strong analytical and problem-solving skills with the ability to collect, organize, analyze, and interpret data accurately.
• Excellent communication skills with the ability to present analytical findings to both technical and non-technical stakeholders.
• Experience gathering business requirements and translating them into reporting and analytical solutions.
• Experience performing cohort analysis, funnel analysis, segmentation, retention analysis, and KPI performance monitoring.
• Hands-on experience with data visualization tools (Power BI preferred).
• Strong SQL skills and understanding of dimensional modeling concepts, semantic models, and how to consume data from existing star schemas.
• Working knowledge of DAX and Power BI data modelling principles.
• Demonstrated ability to independently translate ambiguous business questions into structured analytical approaches and actionable recommendations.
• Attention to detail, curiosity, and a proactive approach to solving business problems.
• Excellent command of English, both written and spoken.
• Strong teamwork and collaboration skills.
Will be considered as a plus:
• Experience with statistical analysis and A/B testing concepts.
• Basic knowledge of machine learning concepts and their business applications.
• Proficiency in Python or R for data analysis and automation.
• Experience working with financial services, trading, or FX data.
• Familiarity with data governance and data quality best practices.
• Knowledge of Agile methodologies and DataOps principles.
• Familiarity with Databricks or similar cloud platforms.
• Experience conducting market, competitor, or benchmarking analysis.
By joining us, you can expect:
• A Unique Opportunity for a career in a global, fast-growing company.
• Attractive
remuneration package
based on qualifications and experience.
• Opportunities to learn and grow through our “
Employee Training & Development program”.
• Stebby Sports Compensation or Confido Health Compensation.
• Multiple
events
to bond with the team and the group.
• Birthday and Loyalty
benefits
.
What to expect from our recruitment process:
Interview with HR
Assessment task
Interview with hiring managers
Final interview with top management
Make your next Career step and apply NOW!
*Due to the great number of applications, we receive for each of our open vacancies, we are unable to respond on an individual basis.
Location: Warsaw, Poland
Are you looking for the next professional opportunity, that will challenge you and advance your career?
Join our team now!
Tickmill is looking to hire a
Data Analyst
to mainly c
ollaborate with stakeholders and Product Owners/Analysts to understand their data needs and provide actionable insights based on data analysis.
About Tickmill.
Tickmill is an award-winning, multi-regulated broker offering access to a broad range of asset classes, including CFDs on Forex, Stocks, Indices, Commodities, Cryptocurrencies, and Bonds, as well as Exchange Traded Derivatives like Futures & Options).
Founded in 2014, the Tickmill Group employs over 330 professionals across offices in London, Cyprus, Poland, Estonia, Seychelles and several other locations worldwide.
Our culture is built on trust, transparency, and high standards. We bring together ambitious professionals who are looking for an environment that supports them to dominate in their fields.
Our diverse, multilingual teams are focused on innovation, delivering bold excellence, and raising the bar wherever we can.
We offer competitive benefits packages, frequent team initiatives, and opportunities for professional growth.
Join the Tigers!
What does the role look like?
The
Data Analyst
will have the chance to:
• Collaborate with stakeholders and Product Owners/Analysts to understand business requirements and support data-driven decision-making.
• Analyze large and complex datasets to identify trends, patterns, and actionable insights.
• Develop and maintain dashboards, reports, and visualizations to effectively communicate findings to stakeholders.
• Support the implementation of data-driven solutions that improve business performance and operational efficiency.
• Contribute to analytics projects related to product performance, client behavior, acquisition funnels, and client lifecycle analysis.
• Ensure data accuracy and consistency through validation and quality checks.
• Work closely with BI team members to improve reporting processes and analytical capabilities.
• Stay up to date with industry trends, analytical techniques, and data visualization best practices.
What do you need to succeed in this role?
• Bachelor's degree in a quantitative field such as Mathematics, Statistics, Computer Science, Information Systems, or a related discipline.
• Minimum 2–4 years of experience as a Data Analyst or in a similar analytical role, preferably within the Finance/FX industry.
• Strong analytical and problem-solving skills with the ability to collect, organize, analyze, and interpret data accurately.
• Excellent communication skills with the ability to present analytical findings to both technical and non-technical stakeholders.
• Experience gathering business requirements and translating them into reporting and analytical solutions.
• Experience performing cohort analysis, funnel analysis, segmentation, retention analysis, and KPI performance monitoring.
• Hands-on experience with data visualization tools (Power BI preferred).
• Strong SQL skills and understanding of dimensional modeling concepts, semantic models, and how to consume data from existing star schemas.
• Working knowledge of DAX and Power BI data modelling principles.
• Demonstrated ability to independently translate ambiguous business questions into structured analytical approaches and actionable recommendations.
• Attention to detail, curiosity, and a proactive approach to solving business problems.
• Excellent command of English, both written and spoken.
• Strong teamwork and collaboration skills.
Will be considered as a plus:
• Experience with statistical analysis and A/B testing concepts.
• Basic knowledge of machine learning concepts and their business applications.
• Proficiency in Python or R for data analysis and automation.
• Experience working with financial services, trading, or FX data.
• Familiarity with data governance and data quality best practices.
• Knowledge of Agile methodologies and DataOps principles.
• Familiarity with Databricks or similar cloud platforms.
• Experience conducting market, competitor, or benchmarking analysis.
By joining us, you can expect:
• A Unique Opportunity for a career in a global, fast-growing company.
• Attractive
remuneration package
based on qualifications and experience.
• Opportunities to learn and grow through our “
Employee Training & Development program”.
• Hybrid Work Flexibility.
• Multiple
events
to bond with the team and the group.
• Birthday and Loyalty
benefits
.
What to expect from our recruitment process:
First interview with hiring managers or an HR call
Psychometric test
Final interview with top management
Make your next Career step and apply NOW!
*Due to the great number of applications, we receive for each of our open vacancies, we are unable to respond on an individual basis.
Location: Limassol, Cyprus
Are you looking for the next professional opportunity, that will challenge you and advance your career?
Join our team now!
Tickmill is looking to hire a
Data Analyst
to mainly c
ollaborate with stakeholders and Product Owners/Analysts to understand their data needs and provide actionable insights based on data analysis.
About Tickmill.
Tickmill is an award-winning, multi-regulated broker offering access to a broad range of asset classes, including CFDs on Forex, Stocks, Indices, Commodities, Cryptocurrencies, and Bonds, as well as Exchange Traded Derivatives like Futures & Options).
Founded in 2014, the Tickmill Group employs over 330 professionals across offices in London, Cyprus, Poland, Estonia, Seychelles and several other locations worldwide.
Our culture is built on trust, transparency, and high standards. We bring together ambitious professionals who are looking for an environment that supports them to dominate in their fields.
Our diverse, multilingual teams are focused on innovation, delivering bold excellence, and raising the bar wherever we can.
We offer competitive benefits packages, frequent team initiatives, and opportunities for professional growth.
Join the Tigers!
What does the role look like?
The
Data Analyst
will have the chance to:
• Collaborate with stakeholders and Product Owners/Analysts to understand business requirements and support data-driven decision-making.
• Analyze large and complex datasets to identify trends, patterns, and actionable insights.
• Develop and maintain dashboards, reports, and visualizations to effectively communicate findings to stakeholders.
• Support the implementation of data-driven solutions that improve business performance and operational efficiency.
• Contribute to analytics projects related to product performance, client behavior, acquisition funnels, and client lifecycle analysis.
• Ensure data accuracy and consistency through validation and quality checks.
• Work closely with BI team members to improve reporting processes and analytical capabilities.
• Stay up to date with industry trends, analytical techniques, and data visualization best practices.
What do you need to succeed in this role?
• Bachelor's degree in a quantitative field such as Mathematics, Statistics, Computer Science, Information Systems, or a related discipline.
• Minimum 2–4 years of experience as a Data Analyst or in a similar analytical role, preferably within the Finance/FX industry.
• Strong analytical and problem-solving skills with the ability to collect, organize, analyze, and interpret data accurately.
• Excellent communication skills with the ability to present analytical findings to both technical and non-technical stakeholders.
• Experience gathering business requirements and translating them into reporting and analytical solutions.
• Experience performing cohort analysis, funnel analysis, segmentation, retention analysis, and KPI performance monitoring.
• Hands-on experience with data visualization tools (Power BI preferred).
• Strong SQL skills and understanding of dimensional modeling concepts, semantic models, and how to consume data from existing star schemas.
• Working knowledge of DAX and Power BI data modelling principles.
• Demonstrated ability to independently translate ambiguous business questions into structured analytical approaches and actionable recommendations.
• Attention to detail, curiosity, and a proactive approach to solving business problems.
• Excellent command of English, both written and spoken.
• Strong teamwork and collaboration skills.
Will be considered as a plus:
• Experience with statistical analysis and A/B testing concepts.
• Basic knowledge of machine learning concepts and their business applications.
• Proficiency in Python or R for data analysis and automation.
• Experience working with financial services, trading, or FX data.
• Familiarity with data governance and data quality best practices.
• Knowledge of Agile methodologies and DataOps principles.
• Familiarity with Databricks or similar cloud platforms.
• Experience conducting market, competitor, or benchmarking analysis.
By joining us, you can expect:
• Unique Opportunity for a career in a global, fast-growing company.
• Attractive remuneration package based on qualifications and experience (including 13th salary and Discretionary Bonuses to reward exceptional performance).
• Opportunities to learn and grow through our “Employee Training & Development program”.
• Medical Insurance Cover, which includes Outpatient, Inpatient, and Dental Care.
• Multiple events to bond with the team and the group through Quarterly/Semestrial Team Activities for all the Company.
• Participation in our welfare investment and savings plan through our Provident Fund Scheme.
• Birthday and Loyalty benefits.
• Collaboration with SportBenefit.
What to expect from our recruitment process:
First interview HR call
Task Assessment
Technical interview
Final interview with top management
Make your next Career step and apply NOW!
*Due to the great number of applications, we receive for each of our open vacancies, we are unable to respond on an individual basis.
Location: Singapore
About the Company
Our client is a stealth AI startup backed by one of Southeast Asia's leading technology companies and is currently building its global founding team.
The company is developing an AI-native communication platform designed to simplify everyday tasks by integrating AI directly into conversations. Instead of switching between multiple applications, users can plan, organize, compare, research, and complete tasks within a single intelligent assistant.
Serving a market of billions of users still relying on traditional productivity tools, the platform focuses on delivering reliable AI workflows, persistent context, multi-step reasoning, and seamless task execution. The mission is to create an AI assistant that significantly improves productivity while making everyday work simpler and more intuitive.
About the Role
Our client is seeking a AI Backend Engineer to build and operate the backend infrastructure that powers AI-driven experiences across its products. The role focuses on owning the inference and orchestration layer that sits between AI models and end users, ensuring every interaction is fast, reliable, scalable, and cost-efficient.
Working closely with engineering and AI teams, this position will play a key role in designing production-grade backend services, optimizing system performance, and delivering robust AI-powered features across mobile and desktop platforms.
Key Responsibilities
Build, maintain, and operate backend systems that power AI-enabled features in production.
Design and implement AI inference pipelines, orchestration layers, and service architectures around AI models.
Develop scalable, high-performance APIs that integrate seamlessly with frontend applications and machine learning systems.
Optimize system performance by improving inference latency, throughput, caching, batching, and streaming capabilities.
Own production operations, including monitoring, logging, alerting, and incident response.
Troubleshoot and resolve issues within distributed systems to ensure service reliability and stability.
Continuously improve backend architecture and production systems based on operational insights and real-world usage.
Collaborate with cross-functional teams to deliver reliable, scalable, and high-quality AI-powered solutions.
Requirements
Strong backend engineering experience in production environments.
Proven experience building and operating high-throughput, low-latency backend services.
Experience designing scalable APIs and distributed systems.
Familiarity with AI inference patterns, including Large Language Models (LLMs), embeddings, and multimodal AI systems.
Strong debugging and troubleshooting skills within distributed production environments.
Demonstrated ability to deliver production-ready solutions while iterating based on real-world system performance.
Excellent analytical, problem-solving, and collaboration skills.
Technical Skills
Experience with the following technologies is preferred:
Python
Node.js
PyTorch
OpenAI, Anthropic, or open-source Large Language Models (LLMs)
SQL and NoSQL databases
Kubernetes
Docker
Location: Lagos, Nigeria
Who We Are
We're a passionate team determined to challenge the status quo and make financial inclusion count for the millions of under-banked individuals and small business owners in Nigeria. We provide loans, savings, and fixed deposit solutions to our customers. Our vision is to be the most convenient lending company, delivering outstanding service experience.
The Role
The Senior Risk Analyst (Portfolio Risk) is responsible for driving portfolio risk analytics, credit performance monitoring, Expected Credit Loss (ECL) modeling, impairment analysis, and value-added risk initiatives that optimize portfolio performance and profitability.
The role partners closely with Risk, Finance, Product, Collections, and Technology teams to deliver actionable portfolio insights, automate reporting, improve decision-making, and support strategic initiatives such as Risk-Based Pricing (RBP), digitalization, and portfolio optimization.
This role is ideal for someone with strong analytical capabilities, deep knowledge of retail lending portfolios, IFRS 9/ECL methodologies, and the ability to translate complex data into business recommendations within a fast-paced financial services environment.
What You Will Do
Monitor and analyze portfolio performance across all lending products, identifying emerging risks, trends, and business opportunities.
Develop, automate, and maintain portfolio risk dashboards, management reports, and executive reporting.
Lead value-added portfolio initiatives including Risk-Based Pricing (RBP), digitalization, and portfolio optimization projects.
Deliver timely, accurate, and insightful reporting to support strategic and operational decision-making.
Own the portfolio Expected Credit Loss (ECL) and impairment analysis in accordance with IFRS 9 requirements.
Provide profitability analysis by evaluating impairment costs, portfolio performance, and P&L contribution across each lending product.
Support forecasting of credit losses, provisions, and portfolio performance under different economic scenarios.
Design and enhance portfolio monitoring frameworks, early warning indicators, and risk performance metrics.
Collaborate with Data, Finance, Product, Collections, and Technology teams to improve data quality and reporting automation.
Build automated reporting solutions and improve data infrastructure to reduce manual processes.
Conduct deep-dive analyses into portfolio trends, customer behavior, segmentation, and credit performance.
Perform portfolio stress testing, sensitivity analysis, and scenario modeling.
Support regulatory reporting, internal audits, and governance requirements relating to portfolio risk.
Recommend risk policy enhancements based on portfolio performance and analytical findings.
Maintain documentation for portfolio methodologies, reporting processes, and analytical models.
Drive continuous improvement initiatives across portfolio analytics and reporting capabilities.
Requirements
What You Bring
Educational Qualification
Bachelor's degree in Statistics, Mathematics, Economics, Finance, Accounting, Computer Science, Engineering, or a related quantitative discipline.
Master's degree is an added advantage.
Professional Certifications
FRM (Financial Risk Manager) – preferred.
CFA (Chartered Financial Analyst) – an advantage.
ACCA, ACA, or equivalent accounting qualification is beneficial.
IFRS 9 or Credit Risk certifications are an added advantage.
Microsoft Power BI, SQL, Python, SAS, or Data Analytics certifications are desirable.
Experience
Minimum of 5–7 years of experience in Portfolio Risk, Credit Risk Analytics, Risk Modelling, or Financial Risk.
Experience within banking, fintech, consumer lending, digital lending, or financial services.
Demonstrated experience with IFRS 9, Expected Credit Loss (ECL), impairment analysis, and portfolio monitoring.
Experience building automated reporting and portfolio dashboards.
Experience supporting senior management with portfolio performance insights and strategic recommendations.
Professional Competencies
Strong knowledge of portfolio risk management principles and retail lending products.
Deep understanding of IFRS 9, ECL methodologies, impairment calculations, and provisioning.
Strong analytical skills with experience interpreting large datasets and translating insights into business actions.
Advanced proficiency in SQL, Excel, Power BI, Tableau, Python, SAS, R, or similar analytical tools.
Strong understanding of P&L drivers, portfolio profitability, and financial performance analysis.
Experience designing portfolio monitoring frameworks and early warning indicators.
Ability to automate reporting processes and improve reporting efficiency.
Strong knowledge of credit risk metrics including PAR, Roll Rates, Vintage Analysis, Loss Rates, Recoveries, and Collections performance.
Excellent presentation, communication, and stakeholder management skills.
Strong attention to detail with the ability to influence strategic decision-making through data.
Ability to manage multiple priorities within a fast-paced environment.
This Role Is Ideal For You If:
You enjoy transforming complex portfolio data into strategic business insights.
You are passionate about credit risk analytics, portfolio optimization, and automation.
You enjoy improving reporting efficiency through digitalization and data-driven solutions.
You thrive in solving complex business problems using analytics.
You enjoy collaborating across Risk, Finance, Technology, and Product teams.
You want to influence credit strategy and portfolio performance at scale.
You May Not Enjoy This Role If:
You prefer operational roles over analytical and strategic work.
You are uncomfortable working with large datasets and complex financial models.
You dislike automation, reporting, or continuous process improvement.
You prefer highly repetitive work with limited opportunities for innovation.
You are not interested in financial performance, impairment, or portfolio optimization.
Benefits
What's In It For You
Opportunity to shape portfolio strategy within a leading fintech organization.
Direct ownership of portfolio analytics, IFRS 9 reporting, and risk insights that influence executive decision-making.
Exposure to large-scale digital transformation, Risk-Based Pricing (RBP), and advanced analytics initiatives.
Opportunity to collaborate with Risk, Finance, Product, Data, Engineering, and Executive Leadership teams.
Continuous learning, professional certification sponsorship, and career development opportunities.
Competitive compensation and the opportunity to solve complex, high-impact credit risk challenges.
Location: Lagos, Nigeria
Who We Are
We're a passionate team determined to challenge the status quo and make financial inclusion count for the millions of under-banked individuals and small business owners in Nigeria. We provide loans, savings, and fixed deposit solutions to our customers. Our vision is to be the most convenient lending company, delivering outstanding service experience.
The Role
The Senior Anti-Fraud & Credit Policy Manager leads the Bank's Credit Policy and Fraud Prevention function, ensuring robust controls across customer onboarding, loan origination, and portfolio management. The role is responsible for developing and optimizing fraud prevention strategies, KYC controls, credit policy rules, and fraud detection models while safeguarding the business against financial crime and operational losses.
The successful candidate will oversee anti-fraud systems, external risk data providers, blacklist management, and continuous monitoring of fraud attacks. Working closely with Risk, Credit, Product, Operations, Technology, Compliance, and Data Science teams, this role will drive automation, enhance decisioning frameworks, and strengthen fraud prevention capabilities across the lending lifecycle.
This role is ideal for someone with extensive experience in fraud risk management, credit policy, digital lending, and data-driven decisioning within banking or fintech.
What You Will Do
Lead the design, implementation, and continuous improvement of credit policies and anti-fraud strategies across all lending products.
Develop, monitor, and optimize KYC, customer verification, and fraud prevention controls throughout the customer lifecycle.
Design, implement, and fine-tune fraud detection rules, cross-match models, and decision engines to improve fraud detection while minimizing false positives.
Manage fraud prevention platforms and decisioning systems to enhance approval quality and customer experience.
Oversee relationships with external risk data providers, including credit bureaus, identity verification providers, device intelligence, and fraud intelligence vendors.
Evaluate the effectiveness of third-party fraud and identity solutions and recommend enhancements where necessary.
Own and maintain customer, device, identity, and merchant blacklists, ensuring timely updates and governance.
Monitor fraud trends, emerging threats, attack patterns, and suspicious activities across digital channels.
Lead daily fraud monitoring, investigate fraud incidents, and coordinate rapid response actions to mitigate losses.
Develop fraud dashboards, KPIs, and management reports to support executive decision-making.
Conduct root cause analysis of fraud events and implement preventive controls.
Collaborate with Product, Engineering, Data Science, and Operations teams to implement new fraud controls and policy enhancements.
Review lending policies and recommend updates based on portfolio performance, fraud trends, regulatory changes, and business strategy.
Support internal and external audits, regulatory examinations, and compliance activities relating to fraud prevention and credit policy.
Ensure all fraud prevention activities comply with regulatory requirements and internal governance standards.
Lead continuous improvement initiatives through automation, analytics, and advanced fraud detection techniques.
Requirements
What You Bring
Educational Qualification
Bachelor's degree in Computer Science, Information Technology, Mathematics, Statistics, Economics, Finance, Accounting, Engineering, or a related discipline.
Master's degree is an added advantage.
Professional Certifications
Certified Fraud Examiner (CFE) – preferred.
Certified Anti-Money Laundering Specialist (CAMS) – an advantage.
Certified Risk Management Professional (CRMP), FRM, or equivalent certifications are desirable.
Professional certifications in Data Analytics, SQL, Python, SAS, or Power BI are an added advantage.
Experience
Minimum of 6–8 years of experience in Fraud Risk Management, Credit Policy, Financial Crime, Credit Risk, or Digital Lending.
At least 3 years in a leadership or senior specialist role.
Experience within banking, fintech, consumer lending, or financial services.
Hands-on experience managing fraud prevention systems, KYC platforms, and rule-based decision engines.
Experience working with external fraud intelligence, identity verification, and credit bureau providers.
Professional Competencies
Strong knowledge of digital fraud prevention, financial crime, and credit policy management.
Deep understanding of KYC, Customer Due Diligence (CDD), identity verification, and fraud risk controls.
Experience designing and optimizing fraud rules, scorecards, cross-match models, and decision engines.
Strong understanding of fraud attack vectors, synthetic identity fraud, account takeover, device fraud, application fraud, and first-party fraud.
Experience managing external risk data providers and integrating third-party fraud solutions.
Strong knowledge of blacklist management, fraud monitoring, and fraud investigation processes.
Proficiency in SQL, Excel, Power BI, Python, SAS, or similar analytical tools.
Strong analytical and problem-solving skills with the ability to identify emerging fraud patterns.
Excellent stakeholder management, communication, and leadership skills.
Strong understanding of regulatory requirements relating to fraud prevention, AML, KYC, and consumer lending.
Ability to balance fraud prevention with customer experience and business growth.
This Role Is Ideal For You If:
You enjoy building robust fraud prevention and credit policy frameworks.
You are passionate about protecting customers and the business from financial crime.
You enjoy analyzing fraud patterns and improving decision engines through data.
You thrive in fast-paced, technology-driven lending environments.
You enjoy collaborating across Risk, Compliance, Product, Engineering, and Operations teams.
You are motivated by solving complex fraud challenges using analytics and technology.
You May Not Enjoy This Role If:
You prefer operational processing over strategic risk management.
You are uncomfortable making high-impact risk decisions.
You dislike working with fraud analytics, rule optimization, and large datasets.
You prefer environments with limited change and innovation.
You are not interested in regulatory compliance, fraud prevention, or credit governance.
Benefits
What's In It For You
Opportunity to lead fraud prevention and credit policy for a fast-growing fintech organization.
Ownership of fraud strategy, KYC controls, and credit decisioning frameworks that directly influence portfolio quality and customer trust.
Exposure to advanced fraud technologies, digital identity solutions, and analytics-driven decisioning.
Opportunity to collaborate with Risk, Product, Engineering, Data Science, Compliance, and Executive Leadership teams.
Continuous learning, professional certification support, and career development opportunities.
Competitive compensation and the opportunity to solve complex, high-impact fraud and credit risk challenges.
Location: Lagos, Nigeria
Who We Are:
We're a passionate team determined to challenge the status quo and make financial inclusion count for the millions of under-banked individuals and small business owners in Nigeria. We provide loans, savings, and fixed deposit solutions to our customers. Our vision is to be the most convenient lending company, delivering outstanding service experience.
The Role:
The Portfolio Manager is responsible for developing, implementing, and managing credit portfolio strategies that support the Bank's expansion into new markets and regions. The role ensures sustainable portfolio growth by balancing risk, profitability, and customer acquisition while adapting credit strategies to local market dynamics and regulatory environments.
This role will lead portfolio performance monitoring, market analysis, credit strategy optimization, and expansion initiatives across multiple geographies. Working closely with Credit Risk, Product, Finance, Data, Collections, and Business teams, the Portfolio Manager will drive data-driven decisions that maximize portfolio quality and business performance.
This role is ideal for someone with strong expertise in portfolio management, retail lending, credit analytics, and expansion strategy within banking or fintech.
What You Will Do:
Develop and execute portfolio strategies to support expansion into new markets and regions.
Design localized credit strategies based on customer behaviour, market conditions, regulatory requirements, and portfolio performance.
Monitor portfolio quality, profitability, and growth across multiple regions using key credit risk metrics.
Analyse portfolio trends, customer segments, and product performance to identify growth opportunities and emerging risks.
Perform portfolio forecasting, scenario analysis, stress testing, and profitability assessments.
Recommend enhancements to underwriting policies, pricing strategies, and portfolio limits to optimise business performance.
Partner with Product and Business teams to support the launch of new lending products and market expansion initiatives.
Monitor key portfolio indicators including delinquency, default rates, recoveries, vintage performance, roll rates, and loss trends.
Conduct deep-dive analysis on regional portfolio performance and provide actionable recommendations to senior management.
Collaborate with Finance on Expected Credit Loss (ECL), impairment analysis, and portfolio provisioning.
Develop automated dashboards and portfolio reporting to support executive decision-making.
Drive continuous improvement initiatives across portfolio analytics, reporting automation, and risk management processes.
Ensure compliance with internal credit policies, regulatory requirements, and governance standards.
Work closely with Risk, Data Science, Technology, Collections, and Operations teams to improve portfolio performance and customer outcomes.
Requirements
What You Bring
Educational Qualification:
Bachelor's degree or Higher National Diploma in Finance, Economics, Statistics, Mathematics, Business Administration, Engineering, Computer Science, or a related quantitative discipline.
A Master's degree is an added advantage.
Professional Certifications:
Financial Risk Manager (FRM) or Chartered Financial Analyst (CFA) certification is preferred.
Professional certifications in Credit Risk Management or Portfolio Management are an added advantage.
Microsoft Power BI, SQL, Python, SAS, or equivalent data analytics certifications are desirable.
Experience:
Minimum of 5–7 years of experience in Portfolio Management, Credit Risk, Credit Analytics, or Retail Lending.
Hands-on experience managing consumer lending portfolios within banking, fintech, or other financial institutions.
Experience supporting regional expansion, multi-market portfolios, or new market launches is an added advantage.
Professional Competencies:
Strong understanding of retail lending, portfolio management, and credit risk principles.
Experience analysing portfolio performance using key risk and financial metrics.
Knowledge of IFRS 9, Expected Credit Loss (ECL), impairment analysis, and portfolio profitability.
Strong analytical skills with experience using SQL, Excel, Power BI, Python, SAS, or similar analytical tools.
Experience with portfolio segmentation, vintage analysis, roll rates, delinquency monitoring, and stress testing.
Strong understanding of lending products, customer behaviour, and market dynamics.
Excellent communication, stakeholder management, and presentation skills.
Strong commercial acumen with the ability to balance business growth and portfolio quality.
Ability to work effectively in a fast-paced, data-driven environment while managing multiple priorities.
This Role Is Ideal For You If:
You enjoy building and optimising lending portfolios across new markets.
You are passionate about using data to drive strategic business decisions.
You thrive in high-growth, fast-paced financial services environments.
You enjoy collaborating with cross-functional teams to deliver business outcomes.
You are motivated by solving complex portfolio and credit risk challenges.
You May Not Enjoy This Role If:
You prefer operational or administrative work over strategic portfolio management.
You are uncomfortable working with large datasets and financial analysis.
You dislike balancing commercial growth with risk management.
You prefer highly repetitive work with limited opportunities for innovation and strategic thinking.
Benefits
What's In It For You:
Opportunity to lead portfolio strategy for regional expansion within a fast-growing fintech organisation.
Exposure to large-scale lending portfolios, market expansion, and strategic growth initiatives.
Opportunity to collaborate with Credit Risk, Product, Finance, Data, Engineering, and Executive Leadership teams.
Continuous learning, professional certifications, and career development opportunities.
Competitive compensation and the opportunity to influence business growth while managing portfolio performance across multiple markets.
Location: Lagos, Nigeria
Who We Are:
We're a passionate team determined to challenge the status quo and make financial inclusion count for the millions of under-banked individuals and small business owners in Nigeria. We provide loans, savings, and fixed deposit solutions to our customers. Our vision is to be the most convenient lending company, delivering outstanding service experience.
The Role:
The Credit Policy Analyst is responsible for designing, implementing, and continuously improving credit policies and underwriting strategies for new lending products, including Credit Cards, Credit Lines, Buy Now Pay Later (BNPL), Merchant Financing, and other emerging digital credit solutions.
The role partners closely with Credit Risk, Product, Data Science, Fraud, Technology, Finance, and Operations teams to ensure new products are launched with robust credit decisioning frameworks that balance portfolio growth, customer experience, profitability, and risk management.
This role is ideal for someone with strong expertise in credit policy development, consumer lending, and data-driven decision-making within a fast-paced banking or fintech environment.
What You Will Do:
Design and develop credit policies for new lending products, including Credit Cards, Credit Lines, BNPL, Merchant Financing, and other digital lending solutions.
Define customer eligibility criteria, underwriting standards, credit limits, pricing strategies, and approval rules for new products.
Develop, test, and optimize credit decision rules, scorecards, and policy frameworks to improve portfolio quality and customer acquisition.
Monitor the performance of newly launched products and recommend policy enhancements based on portfolio analytics and business performance.
Conduct policy simulations, scenario analysis, and impact assessments before implementing credit policy changes.
Collaborate with Product, Data Science, Fraud, Engineering, Collections, and Finance teams throughout the product development lifecycle.
Analyse customer behaviour, repayment trends, portfolio performance, and profitability to support policy improvements.
Recommend changes to approval strategies, credit limits, pricing, and risk controls based on portfolio performance and market trends.
Develop automated dashboards, portfolio monitoring reports, and policy performance metrics for management reporting.
Support A/B testing and champion/challenger strategies to continuously improve credit decisioning.
Ensure all credit policies comply with regulatory requirements, internal governance standards, and the Bank's risk appetite.
Maintain comprehensive documentation of credit policies, governance approvals, decision rules, and implementation procedures.
Support audits, regulatory reviews, and compliance activities relating to credit policy management.
Requirements
What You Bring
Educational Qualification:
Bachelor's degree or Higher National Diploma in Finance, Economics, Statistics, Mathematics, Computer Science, Engineering, Business Administration, or a related quantitative discipline.
A Master's degree is an added advantage.
Professional Certifications:
Financial Risk Manager (FRM), Chartered Financial Analyst (CFA), or equivalent risk management certification is preferred.
Credit Risk or Consumer Lending certifications are an added advantage.
Professional certifications in SQL, Python, SAS, Power BI, or Data Analytics are desirable.
Experience:
Minimum of 4–6 years of experience in Credit Policy, Credit Risk, Portfolio Analytics, Consumer Lending, or Lending Strategy.
Hands-on experience designing or managing credit policies for retail or digital lending products.
Experience within banking, fintech, consumer finance, or other regulated financial institutions.
Experience supporting the launch of new lending products is an added advantage.
Professional Competencies:
Strong understanding of consumer lending, underwriting principles, and credit policy management.
Experience developing credit strategies for products such as Credit Cards, Credit Lines, BNPL, Merchant Financing, or unsecured lending products.
Knowledge of scorecards, decision engines, credit bureau data, affordability assessments, and risk-based pricing.
Strong analytical skills with experience using SQL, Excel, Power BI, Python, SAS, or similar analytical tools.
Understanding of portfolio monitoring, IFRS 9, Expected Credit Loss (ECL), and portfolio performance metrics.
Experience conducting policy performance analysis, segmentation, champion/challenger testing, and portfolio optimisation.
Excellent analytical, communication, and stakeholder management skills.
Strong attention to detail with the ability to balance business growth, customer experience, and credit risk.
This Role Is Ideal For You If:
You enjoy designing credit strategies for innovative lending products.
You are passionate about balancing business growth with prudent risk management.
You enjoy using data and analytics to improve customer decisioning.
You thrive in collaborative, cross-functional product development environments.
You enjoy solving complex lending and credit policy challenges.
You May Not Enjoy This Role If:
You prefer operational or administrative work over analytical and strategic roles.
You are uncomfortable making data-driven credit policy recommendations.
You dislike working with large datasets, policy optimisation, and performance analytics.
You prefer highly repetitive work with limited opportunities for innovation.
Benefits
What's In It For You:
Opportunity to shape the credit strategy for innovative lending products within a leading fintech organisation.
Hands-on experience launching and optimising products such as Credit Cards, Credit Lines, BNPL, and Merchant Financing.
Exposure to Product, Data Science, Risk, Engineering, Finance, and Executive Leadership teams.
Continuous learning, professional certification support, and career development opportunities.
Competitive compensation and the opportunity to solve complex, real-world lending and credit risk challenges.
Location: Tabuk, Saudi Arabia; Jeddah, Saudi Arabia; Riyadh, Saudi Arabia; Yanbu, Saudi Arabia
The Operations Engineer will be responsible for monitoring and controlling the operation of all facility systems and coordinating maintenance-related activities at the Primary Nursery Facility in NEOM. The role will also oversee the delivery of support services, including Janitorial, Horticulture, Pest Control, Waste Management, and Office Services.
The Operations Engineer will ensure the safe, efficient, and reliable operation of electro-mechanical systems, monitor service provider performance, ensure compliance with operational KPIs, resolve customer complaints, and continuously identify opportunities to improve facility performance, energy efficiency, and end-user satisfaction.
Key Responsibilities
Supervise and coordinate the daily operation of all MEP and electro-mechanical systems at the Primary Nursery Facility.
Monitor and control equipment including MCCs, pumps, VFDs, fans, instrumentation, emergency generators, AHUs, chillers, and related systems.
Plan operational activities, establish priorities, and coordinate maintenance and project-related works.
Conduct regular inspections and monitor system performance to ensure facility readiness, reliability, and compliance with operational requirements.
Analyze system performance, operating parameters, alarms, and set points, and implement corrective actions and improvement initiatives.
Respond promptly to emergencies, major faults, equipment failures, and operational interruptions.
Support Root Cause Analysis (RCA), incident investigations, commissioning activities, and the implementation of corrective actions.
Manage and monitor contractors and service providers delivering Janitorial, Horticulture, Pest Control, Waste Management, and Office Services.
Ensure customer satisfaction by resolving complaints, high-priority tickets, and recurring operational issues while monitoring service delivery against KPIs.
Requirements
Bachelor’s degree in Electrical, Mechanical, Electro-Mechanical Engineering, or a related field.
4–6 years of experience in Facility Management, Facility Operations, or a similar role.
Proven experience in the operation and monitoring of MEP and electro-mechanical systems.
Good knowledge of facility systems and equipment, including MCCs, pumps, VFDs, generators, AHUs, chillers, fans, and instrumentation.
Ability to read and interpret technical drawings and understand MEP commissioning procedures.
Experience in contractor management, service provider coordination, and KPI monitoring.
Strong knowledge of troubleshooting, problem-solving, Root Cause Analysis (RCA), and corrective action processes.
Good communication, leadership, coordination, analytical, and customer service skills.
Good command of written and spoken English, with the ability to work effectively under pressure and respond to operational emergencies.
Location: Cairo, Egypt; Algiers, Algeria; Lusail, Qatar; Kuwait City, Kuwait; Jamnagar, India; Dubai, United Arab Emirates
The Rig Liaisonman acts as the primary link between the drilling rig site, the Drilling & Technical Department (DTD), Saudi Aramco representatives, and the contractor. The position is responsible for coordinating rig activities, monitoring operational performance, ensuring compliance with approved drilling programs and Saudi Aramco requirements, and facilitating timely communication and resolution of operational issues.
Key Responsibilities
Serve as the main liaison between the rig site, DTD, Saudi Aramco representatives, and drilling contractors.
Coordinate daily drilling and rig-related activities with relevant departments and stakeholders.
Monitor rig operations to ensure compliance with approved drilling programs, procedures, safety standards, and client requirements.
Review and communicate daily drilling reports, operational updates, equipment status, and performance information.
Follow up on rig activities, operational challenges, equipment issues, and required corrective actions.
Coordinate with drilling engineers, rig management, wellsite supervisors, service companies, and other stakeholders.
Escalate operational, technical, safety, and schedule-related issues to the appropriate DTD personnel.
Assist in ensuring that drilling operations remain aligned with the approved program and project schedule.
Track the status of rig moves, rig readiness, equipment availability, maintenance requirements, and operational priorities.
Support coordination of logistics, materials, personnel, services, and other resources required for rig operations.
Participate in meetings, operational reviews, coordination meetings, and incident investigations when required.
Maintain accurate records and provide regular updates to DTD management.
Requirements
Bachelor’s degree or diploma in
Drilling Engineering, Petroleum Engineering, Mechanical Engineering, or a related discipline
; or equivalent relevant experience.
Typically
8–15 years of experience in drilling and rig operations
, preferably in the oil and gas industry.
Previous experience working with
Saudi Aramco operations or Saudi Aramco-approved contractors
is highly preferred.
Strong knowledge of land rig operations, drilling activities, wellsite coordination, and oilfield services.
Experience liaising with drilling contractors, service companies, client representatives, and technical departments.
Familiarity with Saudi Aramco safety, operational, and reporting requirements.
Cairo, Egypt; Algiers, Algeria; Lusail, Qatar; Kuwait City, Kuwait; Jamnagar, India; Dubai, United Arab Emirates
Требования:
— Наличие степени бакалавра (требуется фото диплома при подаче заявки);
— Проживание вне территории России и Беларуси;
— Опыт управления командой, проведения PR-ревью и наставничества;
— Опыт работы с Java и Spring Framework не менее 8 лет;
— Опыт работы с AWS компонентами (Relational Database Service, Dynamo DB, Lambda, S3 storage, Kinesis, SNS, SQS) не менее 2 лет;
— Знание Agile-фреймворка, предпочтительно Scrum;
— Опыт работы с AWS Docker;
— Знание принципов REST;
— Опыт работы с VSTS/Azure DevOps;
— Владение английским языком на уровне B2+ (устный и письменный).
Условия:
— Удалённая работа;
— Контракт B2C;
— Полная занятость;
— Минимальный срок контракта 9 месяцев;
— Рабочий день 8 часов с 5-часовым пересечением с командой в Чикаго (8:00 - 13:00 CDT).
Location: Henderson, Australia
We are?
We are EnerMech, a specialist service company that delivers safe, integrated solutions for complex energy projects.
For over 50 years, we’ve been energizing our clients across the world with unrivalled expertise, equipment, and technology that supports the entire asset life-cycle – offshore and on land. We enable progress through our three global business lines: Energy Solutions, Infrastructure & Industrial Solutions, and Lifting Solutions. Within these areas, we offer a wide range of services, including cranes, lifting, fluid power, training, equipment rental, pipeline and subsea, process, and valves – all designed to help our clients optimize performance, enhance reliability, and improve efficiency.
With a focus on operational excellence, we deliver value through our customized integrated solutions. This approach reduces risk and enhances efficiencies making us a leading and trusted partner every step of the way.
Western Australia | August - November 2026 | Major Shutdown Program
EnerMech is seeking experienced
Supervisors
with a strong background in Nitrogen Process operations, utilsing Nitrogen Membrane Units, HP Air Compressors and Dryers to support a major shutdown campaign across Western Australia.
This is an exciting opportunity to join a high-performing team delivering critical maintenance and shutdown activities on a large-scale industrial project from
August through November 2026
.
About the Role
As a Supervisor, you will be responsible for leading crews involved in Nitrogen purging operations during the LNG Plant shutdown, ensuring all work is delivered safely, efficiently, and in accordance with project requirements.
Key Responsibilities
Completion of operational activities following procedure and direction of the Project Engineer.
Assist in generation of operational records in a clear and concise manner.
Ensure that quality, health, safety and environmental systems are implemented and adhered to.
Supervision of technicians/ operators on-site.
Provision of daily report information to Project Engineer.
Control of operating location establishment and ensuring equipment and plant are fit for purpose.
Requirements
About You
To be successful, you will ideally possess:
Proven experience as a Supervisor on shutdowns, maintenance, or turnaround projects.
Demonstrated experience working with Nitrogen Processes, particularly Nitrogen Generation Units.
Strong leadership and team management capabilities.
Excellent understanding of industrial safety standards and permit systems.
Current Australian Driver's Licence.
Strong communication and stakeholder management skills.
Australian Working Rights.
Benefits
What's on Offer?
Major shutdown campaign running
August – November 2026
.
Competitive remuneration.
Opportunity to work with a leading specialist industrial services provider.
Supportive team environment with a strong safety culture.
Potential for ongoing project opportunities following campaign completion.
Apply Now
If you have experience supervising teams in cryogenic fluid operations and are seeking your next shutdown opportunity in Western Australia, we would like to hear from you.
Submit your application today and register your interest for this significant shutdown campaign with EnerMech.
Why EnerMech?
When you join EnerMech, you're joining a company that values expertise, encourages innovation, and supports its people. You’ll be part of a collaborative team that’s focused on delivering results – safely, efficiently, and with integrity.
Ready to energize your career? Apply now and be part of something bigger.
EnerMech is dedicated to fostering a diverse and inclusive organisation. We believe that diversity enriches our team, and we welcome applications from candidates of all backgrounds, cultures, and identities.
Location: United States (Remote)
Workplace: Remote
ABOUT ONEPAY
OnePay is the consumer fintech trusted by millions of Americans to make money better.
Our financial system is broken. High fees, low rates, and too few ways to actually grow your money. We’re fixing it. And we’re moving fast.
We’re an all-in-one financial services platform that brings together banking, high-yield savings, credit cards, point-of-sale lending, investing, and crypto in one place. We also partner with employers, HCM providers, gig platforms, and others to deliver embedded financial services to millions of employees and frontline workers.
We’re backed by Walmart, the world’s largest retailer, and Ribbit Capital, one of fintech’s most respected investors, giving us rare scale, distribution, and the opportunity to build something truly category-defining.
But what really sets OnePay apart is how we move. Our customers don’t have time to wait… and neither do we. This place moves fast, and we’re looking for people who are:
- Ready to run
- Hungry and driven by urgency
- Exceptional at what they do, with low ego
- Comfortable operating in motion
THE ROLE
As a Platform Engineer on the Builder Experience Team at OnePay, you will build the core platform services and developer frameworks that power large-scale, distributed systems and enable the next generation of intelligent, agent-driven applications.
WHAT YOU’LL DO
- Design and operate platform-oriented core services that support high-scale distributed systems across OnePay’s product ecosystem
- Develop internal developer tooling and shared infrastructure that improve velocity, reliability, and observability across engineering teams
- Build and evolve frameworks that support the construction and orchestration of agentic applications, enabling intelligent, automated workflows across products
- Drive enhancements in CI/CD pipelines, automation, and developer workflows to increase deployment speed, reliability, and confidence across teams
YOU BRING
- 2-9 years of experience in software engineering within fintech, cloud infrastructure, or large-scale distributed systems environments
- Experience building developer platforms, internal tooling, or frameworks that enable other engineers to move faster
- Deep expertise in distributed systems, asynchronous processing, and high-availability platform services
- Production experience in AWS cloud environments and building cloud-native infrastructure
- Demonstrated experience designing and building agentic developer tools that empower automation, collaboration, or intelligent workflows
- Strong experience working with CI/CD pipelines and driving continuous integration and delivery improvements
- Drive and proactivity – everyone here is a builder and executor
TOOLS WE USE
We use Typescript front to back, with node and NestJS frameworks for server code and React Native for our iOS, Android, and Web clients. We run on a highly distributed cloud-native stack with Kubernetes and AWS, and scale and resiliency are at the heart of everything we build. We also embrace agentic development, so engineers have their choice of a variety of models and agent harnesses, including Claude Code, Cursor, Codex, and more to fit their workflow. While you don't need experience with our exact stack, familiarity with modern software engineering practices will help you ramp up quickly.
WHAT WE OFFER
- Competitive base salary, stock options, and health benefits from Day 1
- 401(k) plan with company match
- Remote-friendly (US), flexible time off (FTO), and opportunities for growth
- A high-growth, mission-driven, inclusive culture where your work has real impact
STANDARD INTERVIEW PROCESS
Our process varies by role. Most candidates go through:
- AI-assisted initial screen
- Interview with Talent Partner
- Technical or Hiring Manager Interview
- Team Interview
- Executive Interview
- Offer!
EQUAL EMPLOYMENT OPPORTUNITY
To build technology and products that are used and loved by people and solve real-world problems, we need to build a team with many different perspectives and experiences. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at talent@onepay.com.
Location: Remote - US
Who we are
At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to
hundreds of thousands of businesses
and empower millions of developers worldwide to craft personalized customer experiences.
Our dedication to
remote-first work
, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands.
.
Hiring and how we work
We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions!
Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings.
.
See yourself at Twilio
Join the team as Twilio’s next Sr AI Architect - Conversation AI.
About the job
This position is critical to leveraging Twilio’s massive data ecosystem and unmatched communication scale to build our customer facing AI capabilities, such as Twilio Conversational Memory, Enterprise Knowledge, Behavioral Data Intelligence and many more to power the future of our customer engagement platform.
As a Sr. AI Architect for Twilio Platform, you will also influence the design and evolution of our company-wide ML/AI Ops foundation. You will set the long-term technical vision, establish architectural guardrails, and ensure strict adherence to responsible AI principles. You will drive cross-organizational initiatives, solve complex technical challenges, and elevate the technical standards across all of Twilio. Transitioning AI/ML concepts from cutting-edge research to resilient, compliant, and cost-effective production systems will be your core mission.
As a Sr AI Architect, you will lead the company as the Distinguished Engineer and AI Contextual Engineering SME, serving as the guiding authority to our Architects, driving company-wide impact, and steering Twilio's overarching technical direction for conversational AI. In this pivotal leadership role, you will also influence the design and evolution of our company-wide ML/AI Ops foundation. You will set the long-term technical vision, establish architectural guardrails, and ensure strict adherence to responsible AI principles. By driving cross-organizational initiatives and solving complex technical challenges, you will elevate the technical standards across all of Twilio. Transitioning AI/ML concepts from cutting-edge research to resilient, compliant, and cost-effective production systems will be your core mission.
Responsibilities
In this role, you’ll:
Define and drive a long-term AI/ML architectural vision that aligns with Twilio’s business goals, specifically focusing on how data and memory power the next generation of customer engagement.
Own the strategic roadmap for Twilio’s ML/AI Ops platform and tooling, ensuring a unified approach to model development, deployment, and lifecycle management across all platform capabilities.
Evaluate and implement modern LLM architectures, RAG systems, MCP/tooling frameworks, and inference optimization techniques.
Lead architecture for agentic AI systems including orchestration, reasoning, tool usage, and contextual grounding.
Stay current with rapidly evolving advancements in LLMs, agent frameworks, reasoning systems, and AI infrastructure.
Transition seamlessly from high-level strategic communication with executives to deep-dive code reviews and pair programming with engineers.
Partner closely with Product Management to turn a roadmap into a sequence of technical milestones, ensuring that technical investments always map to customer value.
Have a 'player-coach' mentality, and contribute hands-on technical expertise while providing strategic direction and mentorship to the team.
Qualifications
Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!
Required:
15+ years of experience in software engineering, with at least 6+ years specifically focused on building and scaling production-grade ML systems at a platform level.
Extensive experience with ML Ops and LLM Ops patterns, including designing and implementing rigorous evaluation metrics, automated retraining loops, and monitoring for non-deterministic AI features at scale.
Deep expertise in the design, architecture, and deployment of production-grade ML/AI systems, including deep knowledge of transformer models, LLM orchestration, embedding models, inference optimization and vector stores.
Deep understanding of the Context Engineering lifecycle, including semantic retrieval, contextual compression, state management across multi-turn conversations.
Strong background in building cloud-based services using AWS, GCP, or Azure, with experience managing high-volume data and various data stores.
Exceptional communication and collaboration skills, with a proven ability to mentor engineers, influence company wide technical strategy, product direction, and drive results across the company.
A Master's or Ph.D. in Computer Science, Machine Learning, Data Science, Statistics, or a closely related quantitative field.
Desired
A track record of relevant publications at top ML conferences or significant open-source contributions.
Experience designing evaluation frameworks that specifically measure context quality
Track record of designing and implementing enterprise-scale ML/AI Ops platforms
Experience working in a geographically distributed environment.
Location
This role will be remote and based in the United States.
Travel
We prioritize connection and opportunities to build relationships with our customers and each other. For this role, approximately 5% travel is anticipated to help you connect in-person in a meaningful way.
What We Offer
Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.
Compensation
Please note this role is open to candidates outside of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State. The information below is provided for candidates hired in those locations only.
The estimated pay ranges for this role are as follows:
Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $275,840.00 - 344,800.00.
Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $292,080.00 - 365,100.00.
Based in the San Francisco Bay area, California: $324,480.00 - 405,600.00.
This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave.
The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location.
Application deadline information
Applications for this role are intended to be accepted until October 30, 2026 but may change based on business needs.
Twilio thinks big. Do you?
We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call
Twilio Magic
. Additionally, we empower employees to build
positive change in their communities
by supporting their volunteering and donation efforts.
So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for,
please consider other open positions.
.
Stay alert to recruitment fraud
We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @
twilio.com
email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps.
.
Twilio is proud to be an equal opportunity employer.
We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.
Location: San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
We're standing up a dedicated executive support function within IT, and we're hiring the IT Support Engineer who will build it. IT Support is the front door for every employee technology need at Anthropic, and this role creates its most visible lane: white-glove support for our executives, their administrative business partners (ABPs), and our board.
You'll define what that service looks like: the support model for execs, board, and ABPs, the runbooks behind it, the intake and escalation paths, and the trusted relationships with ABPs and exec staff that make it work. You'll set the bar for discretion and polish as you go. You'll also be the person our leadership reaches when technology gets in the way. The requests that land in this lane range from routine to highly sensitive, and many arrive urgent: an executive locked out minutes before a meeting, an AV issue in a room full of leadership, a board member who needs setup handled quietly and correctly the first time. You own the request end to end and pull in specialist functions or IT Engineering pods as needed.
Responsibilities
Stand up the executive support intake channels and run it: monitor, respond, and follow through on every request from executives, ABPs, and board members
Define the white-glove service model for discretion-sensitive asks and deliver to it, holding confidentiality under pressure
Design the board-meeting AV support playbook with the AV pod, and provide AV support for executive rooms and board meetings, from setup and pre-checks through live triage
Create exec-support runbooks and SLAs that keep the service consistent as it grows
Build trusted relationships with ABPs and executive staff, and establish clear intake paths so leadership knows exactly where to go
Handle ABP escalations and exec-urgent issues calmly, and route into specialist lanes or IT Engineering pods when a request needs them
Establish the board member device, account, and access setup process with our Onboarding lane
Work the shared ticket queue with the SF Core team: walk-ups, desk-side help, hardware swaps, it-assist overflow, and AV T1 triage
Participate in the Core on-call rotation and contribute to the knowledge base and runbooks
Maintain a regular on-site presence in San Francisco
You may be a good fit if you have
7+ years of experience in IT support and 3+ years in executive support
Experience standing up a service or program from scratch, such as an executive support desk, a VIP support function, or a white-glove service
Experience supporting executives, their assistants, or a board to a white-glove standard
A track record of handling sensitive requests with discretion, and the judgment to know what stays confidential without being told
Strong hands-on IT support fundamentals: macOS-primary fleets, identity and access, SaaS troubleshooting, hardware lifecycle
AV fluency for executive rooms and board meetings: you can set up, verify, and fix a room under time pressure
Composure when an urgent escalation lands, and the judgment to know when to pull in help
High polish and low ego: you take pride in service quality and still pick up whatever the team needs, including the ordinary queue work
A security-first mindset and excellent judgment about when user experience yields to security requirements
Comfort with ambiguity: you can make progress before the process exists, and you enjoy shaping how things should work
The instinct to write things down: runbooks, KB articles, and status updates that keep people informed
Nice to have
Experience supporting a C-suite or board of directors at a company with significant security or compliance requirements
AV depth beyond first response, such as broadcast, live events, or room design input
Experience building runbooks, self-service content, or support automation
Experience supporting AI/ML research environments or highly technical user bases
Deadline to apply: None. Applications will be received on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$180,000
—
$265,000 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.
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