Qureos Mentor

Volga Partners

Volga Partners is a global leader in generative AI (GenAI) innovation, specializing in building and deploying advanced AI solutions that drive real-world business transformation. The company designs intelligent systems, custom large language model (LLM) applications, and next-generation automation to help organizations operate more efficiently. With a mission to make GenAI practical and impactful, Volga Partners focuses on refining LLMs for high-value sectors such as finance, healthcare, legal, and technology, enabling measurable outcomes and growth opportunities.

<div>Senior Financial Analyst &ndash; Accounting &amp; Operations
Location: Islamabad, Pakistan &mdash; Hybrid 
Office Address: 571, Street #35, E-11/3, Islamabad 
Employment Type: Full-Time 
Probation: 90 Days 
Department: Finance
Work Schedule &mdash; Required
This position supports global operations and requires regular collaboration with international teams across multiple time zones.
Hybrid Schedule
Three days in-office remote:<ul><li>
2:00 PM&ndash;5:00 PM PKT &mdash; in office</li><li>
7:00 PM&ndash;3:00 AM PKT &mdash; remote from home</li></ul>
Two days fully remote:<ul><li>
6:00 PM&ndash;3:00 AM PKT</li></ul>
Applicants must be comfortable working an evening/night schedule aligned with international business operations.
What You&rsquo;ll Be DoingTechnical Accounting and Financial Reporting<ul><li>
Support and manage month-end and year-end closing activities.</li><li>
Prepare and review financial statements, financial schedules, reconciliations, and management reports.</li><li>
Maintain General Ledger accuracy and investigate account discrepancies.</li><li>
Prepare and review journal entries, accruals, prepayments, and supporting documentation.</li><li>
Ensure financial records are complete, accurate, and supported by appropriate audit trails.</li><li>
Apply sound accounting principles and support compliance with IFRS, US GAAP, UK accounting practices, or other applicable standards.</li><li>
Support audit preparation, internal controls, compliance reviews, and financial governance initiatives.</li></ul>
Financial Analysis, Budgeting, and Forecasting<ul><li>
Support annual budgeting, recurring forecasts, and financial planning activities.</li><li>
Analyze actual financial performance against budgets and forecasts.</li><li>
Perform variance, trend, profitability, and cost analysis.</li><li>
Prepare recurring and ad hoc financial reports for senior leadership and operational teams.</li><li>
Identify financial risks, inconsistencies, and improvement opportunities.</li><li>
Translate financial data into clear insights and practical recommendations.</li><li>
Track performance across projects, departments, clients, and business units.</li><li>
Build, maintain, or utilize financial dashboards and reporting tools using Excel, Power BI, or similar business intelligence platforms to support leadership decision-making.</li></ul>
Operational Finance<ul><li>
Support day-to-day finance operations across multiple client accounts and business functions.</li><li>
Review and validate invoices, billing records, contracts, approvals, payment terms, and supporting documentation.</li><li>
Monitor client billing, vendor payments, accruals, aging reports, and transaction activity.</li><li>
Investigate billing, payment, and reconciliation discrepancies and coordinate timely resolution.</li><li>
Support project accounting, cost tracking, utilization reporting, and financial performance monitoring.</li><li>
Maintain strong financial documentation and operational controls.</li><li>
Recommend improvements to finance workflows, reporting processes, and internal systems.</li></ul>
Cross-Functional Business Partnership<ul><li>
Partner closely with Payroll, HR, Operations, Project Management, Global Delivery, and senior leadership.</li><li>
Communicate financial results, risks, and operational concerns clearly to finance and non-finance stakeholders.</li><li>
Support leadership with financial information required for business decisions.</li><li>
Coordinate across departments to ensure financial and operational alignment.</li><li>
Contribute to finance-related projects, system implementations, process improvements, and organizational initiatives.</li><li>
Explain technical financial concepts in a clear, practical, and business-focused manner.</li></ul> 

Requirements 

Required Qualifications<ul><li>
Bachelor&rsquo;s degree in Accounting, Finance, Economics, Business Administration, or a related discipline.</li><li>
Minimum five years of progressive experience in accounting, financial reporting, operational finance, corporate finance, or a related function.</li><li>
Strong technical accounting foundation.</li><li>
Hands-on experience with month-end close, financial statements, General Ledger activity, reconciliations, accruals, and journal entries.</li><li>
Experience supporting budgeting, forecasting, variance analysis, and management reporting.</li><li>
Experience with operational finance activities such as billing, invoice validation, payment controls, project accounting, or cost tracking.</li><li>
Ability to interpret financial information and explain its business impact.</li><li>
Strong analytical, problem-solving, and investigative skills.</li><li>
Advanced Microsoft Excel and spreadsheet-management skills.</li><li>
Experience with accounting or ERP systems such as QuickBooks, Xero, Sage, IRIS, NetSuite, SAP, Oracle, or similar platforms.</li><li>
Strong written and verbal English communication skills.</li><li>
Ability to manage multiple deadlines and priorities in a fast-paced environment.</li><li>
Ability to work independently while collaborating effectively across departments.</li></ul>
Highly Preferred Qualifications<ul><li>
ACCA, CA, ACA, CPA, CMA, or equivalent qualification, whether qualified or actively progressing toward completion.</li><li>
Experience supporting US, UK, or international finance operations.</li><li>
Experience with IFRS, US GAAP, or UK accounting practices.</li><li>
Public accounting, audit, financial reporting, or controllership experience.</li><li>
Experience working across multiple entities, clients, projects, or business units.</li><li>
Experience supporting global consulting, professional services, staffing, technology, or project-based organizations.</li><li>
Experience improving financial systems, reporting processes, or internal controls.</li><li>
Experience presenting financial findings to senior leadership.</li></ul>
The Ideal Candidate
The ideal candidate is not limited to bookkeeping, Accounts Payable, audit, or traditional FP&amp;A alone.
The successful candidate will:<ul><li>
Possess strong accounting fundamentals and operational finance experience.</li><li>
Understand how financial transactions flow through the General Ledger and financial statements.</li><li>
Be able to support both detailed accounting work and broader financial analysis.</li><li>
Confidently discuss month-end close, reconciliations, financial reporting, budgeting, forecasting, and operational performance.</li><li>
Communicate technical financial concepts clearly to non-finance stakeholders.</li><li>
Take ownership of financial issues and follow them through to resolution.</li><li>
Work effectively across departments in a fast-moving global environment.</li><li>
Identify problems, investigate root causes, and recommend practical solutions.</li><li>
Have exposure to Power BI or similar reporting tools, with the ability to quickly learn and expand reporting capabilities.</li></ul> 

Benefits 

What We Offer<ul><li>
Competitive compensation package.</li><li>
Exposure to international finance operations and global clients.</li><li>
Opportunity to work closely with senior leadership and cross-functional teams.</li><li>
Involvement in strategic finance, accounting, and operational improvement initiatives.</li><li>
Career-growth opportunities within a rapidly expanding global organization.</li><li>
Hybrid work structure.</li><li>
Collaborative and high-performance work environment.</li></ul>
Compensation
PKR 150,000&ndash;200,000 per month
Compensation will be based on experience, technical qualifications, communication skills, and overall alignment with the position.
About Volga Partners
Volga Partners is a global technology and consulting company supporting artificial intelligence, software development, data operations, and international workforce solutions across multiple industries and regions.
As our global operations continue to expand, we are seeking an experienced Senior Financial Analyst &ndash; Accounting &amp; Operations who combines strong technical accounting knowledge with hands-on operational finance experience.
This role will support financial reporting, month-end close, reconciliations, budgeting, forecasting, invoice and billing controls, project financial tracking, and cross-functional business operations across multiple business units and client accounts.
The ideal candidate can confidently discuss technical accounting and financial concepts while also working closely with Operations, Payroll, HR, Project Management, and senior leadership to improve financial accuracy, visibility, and decision-making.</div>

Senior Financial Analyst - Accounting & Operations

<div>Location 
Islamabad, Pakistan 
House #571, Street #35, E-11/3, Islamabad
Employment Type 
Full-time
Work Setup: Hybrid
 
3 days in office 
2 days remote
Compensation 
PKR 600,000 &ndash; 850,000 per month 
(Compensation will be determined based on experience, software and AI background, technical expertise, AI product experience, and overall alignment with the role). 
About Volga Partners
Volga Partners is a global technology and AI solutions company focused on building innovative products, platforms, and intelligent systems that solve real-world business challenges. Our teams work across AI, software development, automation, data operations, and enterprise technology solutions supporting clients and products on a global scale.
We are building the next generation of AI-powered products and platform experiences and are seeking a Principal Software &amp; AI Engineer who thrives in fast-paced environments, enjoys solving complex problems, and can connect customer needs, business goals, and technology into a clear product vision.
About the Role
We are seeking a highly experienced Senior Software &amp; AI Engineer to join our growing engineering team. The ideal candidate will possess extensive experience in full-stack software development, system architecture, cloud technologies, artificial intelligence, and modern software engineering practices.
This role requires a hands-on technical leader capable of designing, developing, and deploying scalable enterprise applications while leveraging AI technologies to build innovative solutions. The candidate should be comfortable working across multiple programming languages, frameworks, and cloud environments.
Key Responsibilities<ul><li>
Design, architect, and develop scalable enterprise-grade software applications.</li><li>
Lead the development of AI-powered products and features utilizing modern AI/ML technologies.</li><li>
Build and maintain high-performance backend services, APIs, and distributed systems.</li><li>
Develop modern web applications and user interfaces using current frontend frameworks.</li><li>
Design database architectures and optimize application performance.</li><li>
Integrate third-party services, APIs, payment gateways, and cloud-based solutions.</li><li>
Collaborate with product managers, designers, and stakeholders to define technical requirements.</li><li>
Implement security best practices and ensure compliance with industry standards.</li><li>
Mentor junior and mid-level engineers and conduct technical reviews.</li><li>
Drive architectural decisions and establish engineering best practices.</li><li>
Participate in Agile development processes and technical planning.</li></ul> 
Required Qualifications
Experience<ul><li>
Minimum 8 years of professional Software/AI engineering experience.</li><li>
Proven experience delivering large-scale production applications.</li><li>
Strong experience working with international teams and remote environments.</li><li>
Experience leading technical projects and mentoring engineering teams.</li></ul>
Programming Languages
Candidates should have strong experience with most of the following technologies:<ul><li>
JavaScript</li><li>
TypeScript</li><li>
Python</li><li>
Java</li><li>
C#</li><li>
Go (Golang)</li><li>
PHP</li><li>
C++</li><li>
Rust</li><li>
SQL</li></ul>
Frontend Technologies<ul><li>
React.js</li><li>
Next.js</li><li>
Angular</li><li>
Vue.js</li><li>
HTML5</li><li>
CSS3</li><li>
Tailwind CSS</li><li>
Redux</li></ul>
Backend Technologies<ul><li>
Node.js</li><li>
Express.js</li><li>
NestJS</li><li>
Django</li><li>
FastAPI</li><li>
ASP.NET Core</li><li>
Spring Boot</li><li>
GraphQL</li><li>
REST APIs</li><li>
Microservices Architecture</li></ul>
Artificial Intelligence &amp; Machine Learning<ul><li>
OpenAI API</li><li>
Large Language Models (LLMs)</li><li>
Prompt Engineering</li><li>
AI Agent Development</li><li>
Retrieval-Augmented Generation (RAG)</li><li>
Vector Databases</li><li>
LangChain / LlamaIndex</li><li>
Machine Learning Fundamentals</li><li>
AI Workflow Automation</li></ul>
Databases<ul><li>
PostgreSQL</li><li>
MySQL</li><li>
MongoDB</li><li>
Redis</li><li>
SQL Server</li></ul>
Cloud &amp; DevOps<ul><li>
AWS</li><li>
Azure</li><li>
Google Cloud Platform (GCP)</li><li>
Docker</li><li>
Kubernetes</li><li>
CI/CD Pipelines</li><li>
GitHub Actions</li><li>
Terraform</li><li>
Linux Administration</li></ul>
Security &amp; Architecture<ul><li>
OAuth</li><li>
JWT Authentication</li><li>
RBAC</li><li>
Secure Coding Practices</li><li>
Distributed Systems</li><li>
Event-Driven Architecture</li><li>
System Design</li><li>
Performance Optimization</li></ul> 
Preferred Qualifications<ul><li>
Experience building SaaS products.</li><li>
Experience working with healthcare, fintech, or enterprise applications.</li><li>
Knowledge of data engineering and analytics platforms.</li><li>
Experience with AI-powered automation systems.</li><li>
Experience with real-time communication systems and WebSockets.</li><li>
Master's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field.</li></ul> 
Compensation &amp; Benefits<ul><li>
Monthly compensation ranging from PKR 600,000 &ndash; PKR 850,000</li><li>
90-day probationary period.</li><li>
Eligible for company-sponsored medical insurance upon successful completion of probation.</li><li>
Eligible for holiday pay for designated company-observed holidays after 90 days of employment, subject to company policy.</li><li>
Eligible for Paid Time Off (PTO) in accordance with the company's service-based accrual model and eligibility requirements.</li><li>
Opportunity for career growth, product ownership, and direct impact on company strategy.</li></ul> 
Application Process
Qualified candidates are encouraged to submit their updated resume along with details of relevant projects, technical expertise, and availability.
Only shortlisted candidates will be contacted for interviews.</div>

Principal Software & AI Engineer - Pakistan

<div>Location 
Islamabad, Islamabad Capital Territory, Pakistan
Office Location 
House #571, Street #35, E-11/3, Islamabad, Pakistan
Monthly Salary 
PKR 250,000 - PKR 400,000 per month (commensurate with experience and technical expertise)
Work Setup: Hybrid<ul><li>
3 days in office</li><li>
2 days remote</li></ul>
Working Hours 
07:00 PM to 04:00 AM PKT 
About Volga Partners
Volga Partners is a global leader in Generative AI (GenAI) innovation, building intelligent systems, custom LLM applications, and advanced automation solutions for organizations worldwide. We design, develop, and deploy AI-powered technologies that help organizations solve complex business challenges across industries including finance, healthcare, legal, and technology.
With a global workforce of 3,000+ professionals across multiple countries, Volga Partners combines diverse expertise, innovation, and technical excellence to deliver impactful AI solutions at scale.
We are seeking an experienced AI &amp; Backend Engineer to help build and scale production-grade AI applications used by global clients. This role is ideal for engineers who have already worked on AI-powered solutions and are comfortable taking ownership of technical initiatives from architecture through deployment.
You will work directly with leadership, product teams, and engineering stakeholders to develop scalable backend systems, Retrieval-Augmented Generation (RAG) pipelines, LLM-powered applications, and intelligent automation solutions.
This role is designed for experienced engineers who can contribute independently and are seeking long-term growth, ownership, and exposure to cutting-edge AI technologies. 
Why Join Volga Partners<ul><li>
Build real-world AI applications used by global organizations.</li><li>
Work with modern LLM technologies and AI orchestration frameworks.</li><li>
Own projects from design through production deployment.</li><li>
Influence technical architecture and product direction.</li><li>
Collaborate directly with leadership and engineering teams.</li><li>
Join a growing organization focused on the future of Generative AI.</li></ul>
Key Responsibilities<ul><li>
Design and implement scalable backend services and microservices using Python and/or Node.js.</li><li>
Build and deploy production-ready AI solutions, including copilots, chatbots, and workflow automation systems.</li><li>
Develop and optimize Retrieval-Augmented Generation (RAG) pipelines.</li><li>
Integrate and manage large language models, including OpenAI, Anthropic, and open-source models.</li><li>
Design secure, performant APIs and backend infrastructure.</li><li>
Process and structure enterprise data for AI workflows.</li><li>
Improve reliability, performance, latency, and cost efficiency of AI systems.</li><li>
Collaborate with product and engineering stakeholders to deliver quality solutions.</li></ul>
Qualifications
Required<ul><li>
4+ years of professional software engineering experience, with a documented track record of building and managing scalable backend architectures.</li><li>
At least 3 years of hands-on experience building AI or LLM-powered solutions into production environments.</li><li>
Demonstrated experience building and supporting scalable backend applications.</li><li>
Experience deploying AI or LLM-powered solutions into production environments.</li><li>
Strong proficiency in Python and/or JavaScript/TypeScript.</li><li>
Experience with RAG architectures, vector databases, embeddings, or AI orchestration frameworks.</li><li>
Experience working with APIs, cloud environments, and modern development practices.</li><li>
Ability to work independently and take ownership of technical solutions from design through deployment.</li></ul>
Preferred<ul><li>
Experience with OpenAI, Anthropic, LangChain, or LlamaIndex.</li><li>
Experience with Pinecone, Chroma, or other vector databases.</li><li>
AWS experience.</li><li>
Experience building agentic AI workflows or automation systems.</li><li>
Experience working with complex enterprise data environments.</li></ul>
Important
This is not an entry-level AI role. We are seeking engineers who have prior experience building AI-powered solutions and can contribute independently in a fast-paced environment with minimal supervision. 
What We Offer<ul><li>
Monthly salary of PKR 250,000 - PKR 400,000 based on experience and technical expertise.</li><li>
Opportunity to build and own production of AI applications used by global clients.</li><li>
Direct exposure to Generative AI, LLM systems, RAG frameworks, and intelligent automation solutions.</li><li>
High-impact role with visibility to leadership and influence over technical decisions.</li><li>
A collaborative and fast-paced environment focused on execution and innovation.</li><li>
90-day probationary period.</li></ul>
Benefits Eligibility
Upon successful completion of the statutory probationary period, employees become eligible for:<ul><li>
Company-sponsored medical insurance, subject to company policy.</li><li>
Paid Time Off (PTO) in accordance with the company's service-based PTO policy.</li><li>
Holiday pay for designated company-observed holidays, subject to company policy.</li><li>
Career growth opportunities, increased ownership, and continued professional development within a rapidly growing AI-focused organization.</li></ul></div>

AI & Backend Engineer - Production AI & LLM Systems | Pakistan

<div>Company: Volga Partners 
Location: Fully Remote (Occasional office visits 1&ndash;2 times per year) 
Compensation: ₹23&ndash;₹30 LPA (based on experience) 
Job Type: Full-time, Project-Based 
Project Duration: Until the end of September 2026 
Start Date: Urgently hiring &mdash; must be available to start within 1&ndash;2 weeks 
Work Hours: 8:00 AM &ndash; 5:00 PM IST or 9:00 AM &ndash; 6:00 PM IST 
(Collaboration with USA Pacific Time teams) 
About the Role
Volga Partners is looking for a skilled Software Development Engineer with strong expertise in Python backend systems and AI/LLM applications.
In this role, you will build and maintain production-grade AI-powered systems, integrating large language models into real-world workflows. You will work across backend services, orchestration layers, and data pipelines&mdash;ensuring that AI features are reliable, scalable, and performant.
This is a hands-on engineering role requiring strong problem-solving, system design, and the ability to operate in fast-evolving AI environments. 
Key Responsibilities<ul><li>
Build and maintain backend services and internal tools in Python for AI-powered applications.
</li><li>Integrate LLM APIs into production workflows, including prompt handling, response processing, validation, and retries.
</li><li>Design and implement scalable REST APIs, async workflows, and background job systems.
</li><li>Maintain and enhance components of a multi-language codebase (C#/C++, Python, web technologies) where applicable.
</li><li>Work with structured and unstructured data to prepare inputs, transform outputs, and support downstream systems.
</li><li>Develop systems for prompt management, model routing, response validation, and failure handling.
</li><li>Debug complex issues across backend logic, API integrations, and distributed services.
</li><li>Monitor system performance using telemetry tools and proactively identify and resolve bottlenecks.
</li><li>Automate recurring workflows related to data processing, evaluation, and reporting.
</li><li>Collaborate with cross-functional teams to turn ambiguous product ideas into production-ready features.
</li><li>Contribute to architecture decisions around scalability, performance, and safe use of AI systems.
</li><li>Write clean, testable, and maintainable code while helping establish engineering best practices for AI systems.</li></ul> 
What You Bring
Education<ul><li>
Bachelor&rsquo;s degree in Computer Science or a related field.
</li></ul>Experience<ul><li>
3+ years of professional experience in backend or systems engineering.
</li><li>Strong experience in Python development for production systems.
</li><li>Experience integrating LLM APIs or AI-driven services into real applications.
</li><li>Proven ability to work within large codebases and collaborative environments.</li></ul> 
Technical Skillset
Core Skills<ul><li>
Python (strong), backend system design, API development
</li><li>Async workflows, job queues, and service orchestration
</li><li>Debugging across APIs, services, and data pipelines
</li></ul>Languages<ul><li>
Python, C#, C/C++, JavaScript/TypeScript, SQL
</li></ul>Frameworks &amp; Libraries<ul><li>
.NET Web API, ASP.NET (MVC &amp; WebForms), Entity Framework
</li><li>React, Bootstrap, Ajax
</li><li>Testing frameworks (xUnit or similar)
</li></ul>AI / LLM Systems<ul><li>
Prompt design, response parsing, and guardrails
</li><li>Model integration patterns and failure handling
</li><li>Understanding of LLM limitations and production constraints
</li></ul>Tools &amp; Platforms<ul><li>
Azure DevOps, Git, Docker, Terraform
</li><li>SQL Server or similar databases
</li><li>Elastic Stack, Postman, Swagger
</li><li>AWS or Azure cloud environments
</li></ul>Architecture<ul><li>
Microservices, distributed systems, modular architectures
</li></ul>Operating Systems<ul><li>
Windows, Linux
</li></ul>Build Tools<ul><li>
Make, Ninja (preferred)</li></ul> 
Nice to Have<ul><li>
Experience with RAG, embeddings, vector databases, or retrieval systems
</li><li>Familiarity with agent workflows or multi-step orchestration
</li><li>Experience with model monitoring, prompt versioning, or evaluation systems
</li><li>Understanding of AI safety, privacy, and secure data handling
</li><li>Exposure to cloud-native deployments and scalable infrastructure</li></ul> 
Why Join Us<ul><li>
 Remote-first culture with minimal in-person requirements
 </li><li>Work with global teams on cutting-edge AI systems
 </li><li>Opportunity to build real-world LLM applications at scale
 </li><li>High ownership, fast-moving environment with strong growth potential</li></ul></div>

Software Development Engineer - AI / LLM Systems (Python Backend)

<div>About Volga Partners
Volga Partners is a global consulting firm supporting technology, data, and AI-driven initiatives for clients around the world. While we have operational teams based in the United States and Pakistan, our workforce supports projects in over 115+ countries.
We partner with fast-growing startups and established enterprises to build high-impact teams that power innovation at scale.
Role Overview
We are seeking a skilled, curious, and adaptable Global Talent Sourcer to support both U.S. and international hiring needs.
This is not a trainee-level role. You will play a critical role in identifying, engaging, and screening top talent across technical and non-technical functions, helping shape the quality of teams we deliver to our clients.
Approximately 1&ndash;2 years of hands-on sourcing experience is sufficient, provided you demonstrate strong sourcing fundamentals, sound judgment, and a proactive mindset.
This role is ideal for someone who thrives in fast-paced environments, enjoys global hiring challenges, and is confident engaging candidates across diverse markets and time zones.
Key Responsibilities<ul><li>
Source, identify, and engage top-tier talent for U.S. and global roles (technical and non-technical)</li><li>
Conduct initial screening interviews to assess qualifications, experience, and cultural fit</li><li>
Prepare and submit comprehensive candidate packages, including:</li><li>
Screening notes</li><li>
Reference checks (if applicable)</li><li>
Written recommendation explaining candidate fit</li><li>
Build and maintain global talent pipelines</li><li>
Utilize sourcing tools such as LinkedIn Recruiter, Boolean search, job boards, referrals, and networking</li><li>
Collaborate with recruiters and hiring managers to align sourcing strategies</li><li>
Stay informed on regional hiring trends and market challenges</li><li>
Maintain clear and professional communication with candidates throughout the hiring process</li></ul>
What You Bring<ul><li>
Proven experience in global and U.S. talent sourcing</li><li>
Ability to adapt sourcing strategies across different markets</li><li>
Experience sourcing both technical and non-technical roles</li><li>
Strong command of sourcing tools (LinkedIn Recruiter, Boolean search, ATS, job boards)</li><li>
Confidence conducting virtual interviews (Zoom, Google Meet, etc.)</li><li>
Strong organizational and time-management skills</li><li>
Excellent communication and stakeholder management skills</li><li>
Must currently reside in Pakistan</li></ul>
Schedule &amp; Work Expectations<ul><li>
Employment Type: Contract (40+ hours per week)</li><li>
For this role, the workweek will follow U.S. Monday&ndash;Friday business days. Team members based in Pakistan must align to the U.S. workweek (Monday through Friday), even though local weekend days may differ.</li></ul>
Compensation (PKR):<ul><li>
During 90-day probation period: 70,000 PKR per month</li><li>
Upon successful completion of probation (after 90 days): 80,000 PKR per month</li></ul>
Shifts Available (Pacific Standard Time):<ul><li>
Monday &amp; Wednesday: 8PM-5AM Pacific Standard Time</li><li>
Tuesday, Thursday &amp; Friday: 4PM-1AM Pacific Standard Time</li></ul>
Mandatory Virtual Meetings (Pacific Standard Time)
All team members must attend:<ul><li>
Monday, Wednesday, Friday: 7:00 AM &ndash; 8:00 AM Pacific Standard Time
</li><li>Tuesday and Thursday: 7:30 AM &ndash; 8:30 AM Pacific Standard Time</li></ul>
Non-Negotiables<ul><li>
90-day probationary period with five (5) days per week in-office attendance required</li><li>
Office Location: House #571, Street #35, E-11/3, Islamabad, Pakistan</li><li>
During probation, training may require additional Pacific Standard Time alignment</li><li>
After 90 days, the HR Lead will assess feasibility of transitioning to a hybrid schedule (minimum 3 days per week in-office). Hybrid is not guaranteed or permanent and will depend on performance and business needs.</li></ul>
Why This Role Is Exciting<ul><li>
Exposure to global recruiting across dozens of markets</li><li>
Opportunity to work on a variety of industries and roles</li><li>
Direct impact on hiring outcomes</li><li>
High visibility within a growing global organization</li><li>
Strong foundation-building opportunity in global talent acquisition</li><li>
PTO Eligibility</li></ul>
If you thrive in global recruitment, can seamlessly shift between U.S. and international sourcing, and confidently prepare high-quality candidate recommendations &mdash; we want to hear from you.</div>

Global Talent Sourcer (Pakistan)