About the Role

As an Analyst, Digital Marketing, you will manage and optimize Google Ads campaigns, analyze performance data, and collaborate with cross-functional teams to drive better ROAS/CPA while maintaining robust tracking and reporting practices.

What You’ll Do

• Build and optimize Google Ads campaigns, including structure, keyword research, targeting, and ad creatives.
• Conduct experiments, analyze segmented performance data, and drive improvements in CTR, conversion rate, ROAS, and CPA.
• Monitor daily metrics, identify anomalies, and address performance or tracking issues proactively.
• Use Excel and SQL to analyze large datasets and support bid/budget optimization decisions.
• Collaborate with Analytics, Product, Engineering, and market teams while ensuring strong tracking, tagging, and measurement hygiene (UTMs, GA4, conversion tracking).

What We’re Looking For 

• 5–8 years of experience in performance/search marketing, including 3+ years managing Google Ads campaigns end-to-end.
• Strong knowledge of Google Ads fundamentals, bidding strategies, auction dynamics, quality score, and search query analysis.
• Data-driven mindset with the ability to define KPIs, analyze trends, and make evidence-based recommendations.
• Advanced Excel/Sheets skills and working knowledge of SQL for handling large datasets.
• Familiarity with GA/GA4, conversion tracking, and attribution basics.
• Clear communicator, comfortable sharing insights with cross-functional teams.
• Flexible to attend planned evening IST meetings to overlap with US teams.
• Leverages AI for creatives, keyword clustering, anomaly detection, real-time insights, and automated reporting to enhance strategy and efficiency.

Good to have

• Google Ads Search certified or equivalent practical experience.
• Exposure to Microsoft Ads, Display/YouTube, or other paid channels.
• Experience with dashboarding tools (Looker Studio, Power BI, Tableau) and/or basic scripting (Python).
• Familiar with A/B testing, experimentation frameworks, and statistical fundamentals.
• Comfortable using LLM/prompting tools to enhance analysis and reporting productivity (as per policy).

About the Role

As a Senior Analyst at Pearl, you will be a Subject Matter Expert (SME) in professional services domain, driving long-term growth and leveraging the latest technologies and methodologies.
 
In this role, you will drive tangible business impact by delivering high-quality insights and recommendations that are grounded in your ability to combine strategic thinking and problem-solving with detailed analysis. This position offers a unique opportunity to collaborate closely with Product Managers and cross-functional teams, uncovering valuable business insights, devising optimization strategies, and validating them through experiments. 

What You’ll Do

• Collaborate with Product and Analytics leadership to conceive and structure analysis and deliver highly actionable insights from “deep dives” into specific areas of our business.
• Conduct analysis of a tremendous amount of internal & external data to find growth & optimization opportunities for the business.
• Package and communicate findings and recommendations to a broad audience (including senior leadership).
• Perform both Descriptive & Prescriptive Analytics including experimentations (AB, MAB), build Reporting for understanding trends.
• Implement and track business metrics that will help drive the business.
• Help determine growth strategy from a marketing and operations perspective.
• Opportunity to operate in an individual capacity as a lead analyst to understand the customer and guide informed strategic decisions & executions.  

What We’re Looking For

• 7+ years of experience in e-commerce/customer experience products
• Proficiency in analysis and business modeling using Excel
• Experience with Google Analytics, BigQuery, PowerBI, and Python / R would be a plus
• Experience with SQL with a strong ability to write complex queries to extract information and arrive at an answer
• Expertise in Descriptive Statistical Analysis, Inferential Statistical Analysis
• Strong experience in setting up and driving A/B Testing or Hypothesis Testing and analyzing the results
• Ability to translate analysis results into business recommendations, and excellent written and confident verbal communication skills
• Ability to communicate effectively with all levels of management and partners from a variety of business functions
• Advanced English level

About the Role

We are seeking an AI Prompt Engineer II who combines strategic thinking, scientific expertise, and hands-on building skills. You will join a dynamic, agile team dedicated to designing, testing, and scaling large language model (LLM) prompts that drive impactful user experiences. Leveraging your deep knowledge of Generative AI, you will enhance our AI-powered expert platform, unlocking meaningful business outcomes and shaping how AI understands customers and supports experts.

What You’ll Do

• Design, build, and develop AI agents
• Create complex multi-part prompting systems with parameter optimization and implement advanced prompting techniques
• Develop comprehensive evaluation frameworks to measure performance across multiple dimensions, comparing approaches such as retrieval-augmented generation (RAG), fine-tuning, and advanced prompting methodologies
• Analyze and optimize LLM performance using A/B testing, usage metrics, and strategic feedback loops
• Develop AI-driven workflows that improve user interactions and Customer Care support
• Design and refine expert playbooks to enhance knowledge sharing and operational efficiency
• Run experiments to validate ideas rapidly and iterate based on performance data and user insights
• Collaborate cross-functionally with product managers, engineers, and stakeholders to identify LLM opportunities and translate technical capabilities into business value
• Manage stakeholder expectations and communicate complex technical concepts effectively to both technical and non-technical audiences
• Implement LLMOps best practices including model governance, lifecycle management, and performance monitoring to ensure production-ready AI systems
• Educate and empower internal teams to build better prompts and leverage AI tools effectively

What We’re Looking For

• Master’s or PhD in Computer Science, Computational Linguistics, Machine Learning, or a related field preferred
• Strong proficiency in Python with hands-on experience building and testing complex prompting systems
• Deep understanding of LLMs and advanced frameworks, with expertise across multiple LLM vendors and model versions
• Proven experience developing and applying evaluation frameworks to test model outputs
• Production experience with RAG and fine-tuning models
• Demonstrated ability to automate large-scale API interactions and scripting for prompt testing, minimizing manual processes
• Experience with LLMOps practices, including model governance, version control, performance monitoring, and lifecycle management
• Strong stakeholder management skills and ability to collaborate effectively across technical and business teams
• Proven track record of translating complex technical concepts into actionable business insights for diverse audiences
• Analytical mindset with experience using Excel, Power BI, or Google Analytics
• Solid understanding of NLP techniques
• Excellent judgment with the ability to prioritize and independently drive projects forward while managing multiple stakeholder relationships
• Experience working in agile, sprint-based development environments; familiarity with tools such as Azure Boards or Asana

About the Role

We’re looking for an iOS engineer who loves building high-performance, scalable apps and knows Swift inside and out. You’ll design and ship polished UI/UX, own end-to-end delivery, and collaborate across product, Android, backend, and analytics to drive impact.

What You’ll Do

• Build, debug, and ship high-quality iOS features and apps end-to-end.
• Implement modern iOS UI with UIKit and SwiftUI, including animations, transitions, CALayer/CAAnimation.
• Apply and advocate for solid architectures (MVP, MVVM, VIPER), choosing the right approach for the job.
• Drive quality with automated tests (unit, integration, E2E) and CI/CD pipelines.
• Own multi-environment builds, config injection, and App Store releases.
• Implement push notifications, deep linking, and platform best practices.
• Boost development speed and quality using AI for coding, refactoring, debugging, test generation, and automating repetitive tasks.
• Strengthen collaboration and innovation with AI-driven requirement summaries, Android–iOS logic translation, and insights that enhance UX, analytics, and performance.
• Translate product UX mocks into performant, maintainable code; estimate and propose pragmatic solutions.
• Collaborate with Android to ensure feature parity and translate Android/Kotlin logic to iOS where needed.
• Participate in code reviews, mentor teammates, and improve engineering processes and tooling.
• Contribute to analytics and A/B testing in high-traffic production environments.

What We’re Looking For

• 3+ years of professional iOS development in Swift language.
• Deep knowledge of UIKit, SwiftUI, iOS UI architecture, animations, and performance tuning.
• Strong grasp of MVP/MVVM/VIPER and their tradeoffs.
• Proven experience with App Store releases, multi-environment builds, and config injection.
• Solid understanding of push notifications, deep linking, and modern iOS capabilities.
• Experience with automated testing across layers and CI/CD for iOS.
• Ability to solve algorithmic problems and analyze data to inform decisions.
• Experience with cross-functional teams, high-traffic apps, analytics, and A/B testing.
• Clear communicator who thrives in fast-paced, ambiguous environments; champion of TDD and code quality.
• Familiarity with full-stack concepts; experience mentoring; Android/Kotlin literacy.

Why You’ll Love It Here

At Pearl, you’ll build a high-impact iOS app used by millions, applying modern architecture, Swift expertise, and rigorous experimentation in a culture of continuous delivery and deep cross-functional collaboration.
You’ll harness AI to ship faster—auto-generate code/tests/docs, improve code reviews and CI/CD, translate Android↔iOS logic, and surface insights that elevate UX and performance.