ApplySarthiProduct Manager
Pearl
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This role on the market
9,703 open product roles across 1,260 companies are on ApplySarthi right now, most of them in Bengaluru (354), Hyderabad (101), Delhi NCR (70).
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What product roles keep asking for: Product management (49%), Stakeholder management (17%), SaaS (13%), Agile (13%) — counted across their open postings here.
Remote Product Manager jobs · Generative AI jobs · Machine learning jobs · Product management jobs
Pearl has 16 open roles listed here.
- Senior Analyst
- Middle Full-Stack Engineer (.NET/React)
- Senior Software Engineer
- General Counsel
- Senior Manager, Growth Marketing
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for product roles keep coming back to Product management, Stakeholder management, SaaS, Agile. Practise those questions before you sit with Pearl.
Questions you are likely to be asked
- Why do you want to join Pearl?
- What is your experience with Machine learning? Tell me one thing you learned the hard way.
- Walk me through a feature you shipped. How did you know it worked?
- Tell me about a time engineering and business wanted different things.
- How would you improve a product you use every day?
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Practise the Product Manager at Pearl interview free →About Us
Pearl is AI for professional services at global scale, combining advanced AI with verified human expertise to deliver help that is accurate, accountable, and fast. Since 2003, our network has connected millions of customers with licensed professionals across 196 countries, making real expertise available anytime, anywhere.
Our Values
- Data driven: Start with truth, measure what matters.
- Courageous: Bias to action; run toward hard problems.
- Innovative: Seek novel, elegant solutions.
- Lean: Do more with less. Build, ship, learn fast.
- Humble: Strong opinions, lightly held.
About the Role
As a hands-on technical Product Manager on our Machine Learning team, you will help transform AI/ML platform capabilities into practical solutions that deliver measurable business value. Working with the engineering team and business partners across Brand, Pearl Enterprise, and B2P, you will identify valuable business opportunities, shape product strategy, manage roadmaps, and drive the development and adoption of AI-powered solutions. Your work will span initiatives such as generative video, model benchmarking, data labeling, and our company-wide GenAI API, with a focus on driving revenue growth, reducing operating costs, and improving business outcomes. This role combines product discovery, data-driven decision-making, experimentation, building working AI prototypes, and close engineering collaboration, with a strong emphasis on curiosity, initiative, and a hands-on AI builder mindset.
What You’ll Do
- Identify and evaluate business opportunities where AI/ML capabilities can solve meaningful problems and deliver measurable value
- Partner with stakeholders across Brand, Pearl Enterprise, and B2P to understand business goals, challenges, and opportunities
- Define product strategy, priorities, and roadmaps for assigned ML platform capabilities, balancing new business initiatives with ongoing platform needs
- Lead product discovery, translate business problems into clear product requirements, and define solutions in collaboration with engineering teams
- Build and iterate on working AI prototypes to test product ideas, validate assumptions, and explore technical feasibility
- Collaborate closely with ML engineers and technical leads to navigate technical trade-offs and deliver effective solutions
- Drive the development, testing, launch, and continuous improvement of AI/ML-powered products and features
- Define and analyze product metrics to guide decision-making, measure adoption, and evaluate business impact
- Communicate product priorities, decisions, and progress effectively across technical and non-technical stakeholders
What We’re Looking For
- 3+ years of product management experience, preferably with technical products, platforms, or data-driven solutions
- Hands-on experience personally building and iterating on an AI-powered application, tool, or workflow, whether through professional work, personal projects, or open-source contributions
- Strong problem-solving skills, with the ability to understand business needs, identify opportunities, and translate them into practical product solutions
- Proven experience managing product roadmaps, prioritizing initiatives, and making informed trade-offs
- Technical fluency with APIs, data flows, and AI/ML systems, with the ability to connect tools or services in a prototype and discuss trade-offs around quality, reliability, latency, cost, and business impact
- Strong analytical skills and experience with A/B testing, experimentation, and data-driven product decision-making
- Experience collaborating with cross-functional stakeholders and translating business objectives into actionable product requirements
- A proactive, curious, and resourceful mindset, with a willingness to experiment, learn quickly, and navigate ambiguity
- Advanced English proficiency
Nice To Have
- Experience working with AI/ML products or machine learning platforms
- Background in software engineering or another technical discipline
Our Commitment to an Inclusive Workplace
We welcome people from all backgrounds who seek the opportunity to help build a future where professional services are readily available to all. If you have curiosity, passion, and a collaborative spirit, come work with us. Pearl is committed to an inclusive workplace. Pearl is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status.
AI Disclosure & Informed Consent
Artificial intelligence (AI) technology may be used during the hiring process to record, transcribe, analyze, and rank interview responses. By submitting your application and participating in the interview process, you acknowledge and consent to the use of AI technology in the hiring process. For more information see our AI Disclosure and Consent Policy.
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Listed on greenhouse · posted 2026-11-10. ApplySarthi collects openings and links to application pages; the role is advertised by Pearl, not by us.