application engineer

engineering manager - ai applications Jobs in Noida

engineering manager - ai applications

engineering manager ai applications

ShyftLabs

<div>
 Position Overview:
 <br/>
 <br/>
 ShyftLabs is seeking an experienced Engineering Manager to lead the development of cutting-edge AI applications and drive the technical excellence of our engineering teams. You will manage a dynamic team of 7-12 engineers while maintaining hands-on technical involvement in architecting and building scalable AI-powered enterprise products. This role requires a unique blend of people leadership, technical expertise, and process optimization to deliver innovative agentic AI products that transform how enterprises interact with their data.
 <br/>
 <br/>
 ShyftLabs is a leading data and AI product company founded in early 2020 and works primarily with Fortune 500 companies. We deliver digital products built to help accelerate the growth of businesses in various industries, by focusing on creating value through innovation
 <br/>
 <br/>
 <strong>
  Job Responsibilities:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Drive architectural decisions for AI applications, enterprise integrations, and cloud-agnostic deployments across AWS, Azure, and GCP environments
  </li>
  <li>
   Collaborate with Technical Leads on system design, database optimization, API architecture, and scalable backend/frontend development
  </li>
  <li>
   Lead, mentor, and grow a team of 7-12 software engineers by providing technical guidance and structured career development
  </li>
  <li>
   Stay current with AI/ML technologies, agentic AI frameworks, and enterprise integration patterns
  </li>
  <li>
   Partner with Product Managers to translate business requirements into technical roadmaps and deliverable timelines
  </li>
  <li>
   Implement agile development processes, engineering best practices, and continuous improvement initiatives
  </li>
  <li>
   Coordinate with cross-functional teams including data, DevOps, and customer success teams
  </li>
  <li>
   Establish code quality standards, testing frameworks, and deployment pipelines
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Basic Qualifications:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's or Master's degree in Computer Science, Engineering, or related technical field
  </li>
  <li>
   10+ years of software engineering experience with strong system design and scalable architecture fundamentals
  </li>
  <li>
   Minimum 2-3 years of engineering management experience leading technical teams in product companies
  </li>
  <li>
   Broad technical expertise spanning databases (SQL/NoSQL), message queues, RESTful APIs, backend/frontend technologies, and microservices architecture
  </li>
  <li>
   Basic familiarity with AI/ML concepts and understanding of AI application integration with enterprise systems
  </li>
  <li>
   Experience with cloud platforms (AWS, Azure, GCP), containerization, and modern deployment practices
  </li>
  <li>
   Proven track record of scaling engineering teams, mentoring junior engineers, and establishing technical processes
  </li>
  <li>
   Strong communication skills with ability to coordinate effectively with Product Managers, Technical Leads, and cross-functional teams
  </li>
  <li>
   Problem-solving aptitude with experience debugging complex distributed systems and making data-driven technical decisions
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with LLMs, vector databases, RAG systems, and agentic systems in production environments
  </li>
  <li>
   Previous experience at AI/ML product companies or building enterprise AI applications
  </li>
  <li>
   Experience with API integrations and enterprise system integrations at scale
  </li>
  <li>
   Experience with real-time systems and event-driven architectures
  </li>
  <li>
   Background in enterprise data products or business intelligence platforms
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <em>
  We are proud to offer a competitive salary alongside a strong healthcare insurance and benefits package. The role is hybrid, with 3 days per week spent in our Noida office, and flexibility for project needs. We pride ourselves on the growth of our employees, offering extensive learning and development resources.
 </em>
</div>


Engineering Manager - AI Applications

Microsoft

<div>
 <strong>
  Overview
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Are you passionate about creating innovative solutions that empower users to achieve more with Office applications? Do you have a strong background in natural language processing, generative AI, and engineering? If so, we are looking for an Applied Scientist to join our team of data and applied science engineers working at the intersection of generative AI and engineering for Office. In this role, you will drive cutting-edge projects, contribute to the Copilot ecosystem, and help shape the Agentic future with one of the most widely used software products in the world.
   <br/>
   <br/>
  </li>
 </ul>
 Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Applied Research &amp; Development: Design and implement machine learning models and algorithms that improve search, summarization, and content understanding in Office applications. Stay current with advancements in NLP and generative AI to inform product innovation.
  </li>
  <li>
   Model Development &amp; Deployment: Build and optimize ML/DL models using frameworks like PyTorch or TensorFlow. Contribute to the deployment of models in production environments, ensuring scalability and performance.
  </li>
  <li>
   Cross-Functional Collaboration: Work closely with engineering, product, and research teams to define goals, align on priorities, and deliver impactful features. Translate business needs into technical solutions.
  </li>
  <li>
   Experimentation &amp; Evaluation: Conduct experiments to evaluate model performance, analyze results, and iterate on solutions. Use data-driven insights to improve precision, recall, and user satisfaction.
  </li>
  <li>
   Innovation &amp; Impact: Explore new signals, data sources, and modeling techniques to enhance intelligent systems. Contribute to the evolution of the Copilot ecosystem and agentic experiences in Office.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <strong>
  Required Qualifications:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND relevant internship experience (e.g., statistics, predictive analytics, research)
  </li>
  <ul>
   <li>
    OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
   </li>
   <li>
    OR equivalent experience.
    <br/>
   </li>
  </ul>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research)
  </li>
  <ul>
   <li>
    OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
   </li>
   <li>
    OR equivalent experience.
   </li>
  </ul>
  <li>
   Experience contributing to research publications, patents, or open-source projects.
  </li>
  <li>
   Hands-on experience deploying ML models in production environments.
  </li>
  <li>
   Familiarity with the full product lifecycle, from ideation to deployment and iteration.
   <br/>
  </li>
 </ul>
 This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
 <br/>
 <br/>
 Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about
 <strong>
  requesting accommodations.
 </strong>
</div>


Applied Scientist

<div>
 <strong>
  Overview
  <br/>
  <br/>
 </strong>
 Are you an
 <strong>
  Applied Scientist II
 </strong>
 passionate about building intelligent systems that enhance productivity in Office applications? Do you have a strong foundation in machine learning, natural language processing (NLP), and software engineering? Join our team of applied scientists and engineers working at the forefront of generative AI to shape the future of productivity tools.
 <br/>
 <br/>
 Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Applied Research &amp; Development: Contribute to the design and implementation of machine learning models and algorithms for search, summarization, and content understanding in Office applications.
  </li>
  <li>
   Model Development: Build and fine-tune ML/DL models using frameworks like PyTorch or TensorFlow. Collaborate on deploying models in production environments with a focus on scalability and performance.
  </li>
  <li>
   Cross-Functional Collaboration: Work closely with engineering, product, and research teams to translate business needs into technical solutions and deliver impactful features.
  </li>
  <li>
   Experimentation &amp; Evaluation: Conduct experiments, analyze results, and iterate on solutions to improve precision, recall, and user satisfaction.
  </li>
  <li>
   Innovation: Stay current with research trends in generative AI and NLP. Explore new signals, data sources, and modeling techniques to evolve intelligent systems and contribute to the Copilot ecosystem.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <strong>
  Required Qualifications:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research)
  </li>
  <ul>
   <li>
    OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
   </li>
   <li>
    OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
   </li>
   <li>
    OR equivalent experience.
   </li>
  </ul>
  <li>
   2+ years of industry experience in applied machine learning or data science roles.
  </li>
  <li>
   Proficiency in Python and ML libraries such as PyTorch or TensorFlow.
  </li>
  <li>
   Experience developing and evaluating generative AI models.
  </li>
  <li>
   Familiarity with NLP techniques and content understanding.
   <br/>
  </li>
 </ul>
 <strong>
  Other Requirements
  <br/>
  <br/>
 </strong>
 Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:
 <br/>
 <br/>
 <ul>
  <li>
   Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Solid verbal and written communication skills to explain complex technical concepts to diverse audiences.
  </li>
  <li>
   Ability to tackle open-ended problems and deliver practical, scalable solutions.
  </li>
  <li>
   Experience deploying ML models in production environments.
  </li>
  <li>
   Exposure to full product lifecycle from prototyping to deployment and iteration.
  </li>
  <li>
   Contributions to research publications, patents, or open-source projects.
   <br/>
   <br/>
  </li>
 </ul>
 This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
 <br/>
 <br/>
 Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about
 <strong>
  requesting accommodations.
 </strong>
</div>


Applied Scientist II

Paytm Payment Gateway

<div>
 <strong>
  Job Summary
  <br/>
  <br/>
 </strong>
 We are seeking a talented and driven Product Manager to lead our Payment Links/Payment Pages product area at Paytm. This role is critical in shaping the future of our payment solutions and driving innovation in how businesses collect payments. The ideal candidate will have a strong understanding of the payments landscape, excellent analytical skills, and the ability to work cross-functionally to bring impactful products to market.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Define and execute the product strategy and roadmap for Payment Links/Payment Pages, aligning with overall business objectives
  </li>
  <li>
   Conduct market research and competitive analysis to identify opportunities and inform product decisions
  </li>
  <li>
   Gather and prioritize product requirements, working closely with engineering, design, and other stakeholders
  </li>
  <li>
   Manage the product lifecycle from concept to launch, ensuring timely delivery and high quality
  </li>
  <li>
   Monitor and analyze product performance, identifying areas for improvement and optimization
  </li>
  <li>
   Develop and maintain product documentation, including user stories, specifications, and release notes
  </li>
  <li>
   Collaborate with marketing and sales teams to develop go-to-market strategies and support product launches
  </li>
  <li>
   Engage with customers and partners to gather feedback and understand their needs
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   2+ years of experience in the payments industry, preferably in product management
  </li>
  <li>
   Strong understanding of payment technologies and the payment ecosystem
  </li>
  <li>
   May have experience as software dev, QA, analyst, program manager etc. in payments ecosystem
  </li>
  <li>
   Excellent analytical and problem-solving skills
  </li>
  <li>
   Strong communication and interpersonal skills
  </li>
  <li>
   Ability to work effectively in a fast-paced and collaborative environment
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with payment gateways and APIs
  </li>
  <li>
   Knowledge of digital payments
  </li>
  <li>
   Product management experience
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Paytm Culture
  <br/>
  <br/>
 </strong>
 Paytm is committed to fostering an inclusive and dynamic work environment. We value innovation, teamwork, and a customer-centric approach. We offer opportunities for professional growth and development and encourage our employees to make a difference.
 <br/>
 <br/>
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>


Product Management - APM / PM - 554

Amity University

<div>
 <p>
  Amity University is a highly research-oriented, Innovation-driven and Inter-disciplinary University accredited by the NAAC with grade 'A+' and ranked #22 by NIRF. It has over 35,000 students at its campus in Noida (Delhi NCR)
  <strong>
   .
   <u>
    The University is ranked amongst the top 3% of universities globally and has the Highest US and UK accreditations
   </u>
   .
  </strong>
  The large National and Global network of Amity Universities and Institutions provides immense opportunities for joint research and mobility.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Amity University Uttar Pradesh, Noida invites applications for
  <strong>
   <u>
    Assistant Professor
   </u>
  </strong>
  position in the areas of Computer Science &amp; Engineering with the following specializations:
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <em>
    CSE, IT, AI, Machine Learning, Deep Learning, Cloud Computing, Blockchain, DevOps, Java, Data Science
   </em>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  The candidate should have a first-class degree:
  <strong>
   B.Tech/BE + M.Tech/ME/MS + Ph.D. (Mandatory at least Thesis submitted)
  </strong>
  from Premier Institutions in the above-mentioned areas. The candidate should also have a strong inclination toward research.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Experience: Minimum 2 years of teaching experience
 </p>
 <p>
  <br/>
 </p>
 <p>
  Interested candidates may apply at
  <strong>
   <u>
    nareshs@amity.edu
   </u>
  </strong>
  in 10 days.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Contact person:
   </u>
  </strong>
 </p>
 <p>
  Mr. Naresh Kumar
 </p>
 <p>
  GM-HR, Amity University Uttar Pradesh, Noida
 </p>
 <p>
  Contact: 0120-4392792
 </p>
</div>


Assistant Professor- Computer Science and Engineering

Paytm

<div><div><div>Role Summary</div><div>
As Assistant Manager &ndash; Contract Negotiations, you will manage a diverse portfolio of legal responsibilities including drafting and negotiating contracts, ensuring regulatory and compliance adherence, and handling dispute resolution. You will collaborate closely with multiple internal stakeholders &mdash; product, engineering, finance &mdash; to support business growth while safeguarding Paytm&rsquo;s legal and compliance interests. You will also work on creating and implementing standardized contract templates to improve efficiency and consistency across agreements.</div><div></div><div><br>
Key Responsibilities</div><div>
Draft, review, negotiate, and finalize a variety of contract types &mdash; including vendor agreements, partnership contracts, service agreements, licensing agreements, NDAs, and other business contracts.
</div><div>Develop and maintain standardized contract templates and frameworks to streamline contracting processes, reduce turnaround time, and ensure consistency across business units.</div><div>
Collaborate with cross-functional teams (product, engineering, operations, finance) to incorporate legal and compliance requirements &mdash; including intellectual property protections, data security, regulatory constraints &mdash; into product development and business contracts.</div><div>
Conduct regulatory compliance assessments and ensure that all contracts comply with applicable laws, internal company policies, and relevant regulations &mdash; especially given the regulatory environment in fintech/financial services.
</div><div>Manage the full contract lifecycle: from initiation, drafting, negotiation, execution, monitoring, amendments/renewals, to expiry / termination as needed.
</div><div>Maintain accurate contract records, manage documentation / contract repository, and track key milestones (renewals, obligations, deliverables, compliance checkpoints).
</div><div>Identify and assess potential legal and business risks associated with contractual agreements &mdash; propose mitigation strategies or alternative contract terms to protect company interests.
</div><div>Handle contract-related disputes or issues with counterparties, working to resolve disagreements or breaches amicably, in line with company policy.
</div><div>Act as a legal-business interface: communicate contract terms, implications, obligations to internal stakeholders (business teams, finance, operations) to ensure mutual understanding and smooth execution.
</div><div>Provide legal guidance and support for new business models, vendor partnerships, collaborations &mdash; ensuring all contractual agreements align with business objectives and compliance standards.</div><div></div><div><br>
Qualifications &amp; Skills</div><div>
Bachelor&rsquo;s degree in Law (LLB) / Business Law / or equivalent legal / corporate governance qualification. (Advanced degree or MBA + Legal exposure is a plus.)</div><div>
Minimum <b>3&ndash;5 years</b> of experience in contract drafting, negotiation, and legal/compliance work &mdash; preferably in fintech, financial services, technology, or other regulated industries.</div><div>
Strong understanding of contract law, regulatory compliance, data privacy / security norms (especially relevant to fintech), IP protection, and risk mitigation.</div><div>
Excellent contract drafting, negotiation, analytical, and risk-assessment skills.</div><div>
Strong communication and stakeholder-management capabilities &mdash; able to liaise with business, product, finance, engineering and legal teams to translate legal requirements into business-ready contracts.</div><div>
High attention to detail, discipline, integrity, and ability to handle confidential, sensitive information.</div><div>
Ability to manage multiple contracts simultaneously, prioritize workloads, meet deadlines &mdash; with strong documentation and record-keeping discipline.</div><div>
Comfortable working in a fast-paced, dynamic environment (like fintech) and adapting to evolving regulatory/business requirements.</div><div>
Familiarity with contract management tools / contract lifecycle management (CLM) software and standard office productivity tools (MS Office / Google Workspace).</div></div>
<div><div>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</div></div></div>

Contract Negotiations - Assistant Manager

One97 Communications Limited

<div>
 <p>
  <strong>
   About Paytm Group:
  </strong>
 </p>
 <p>
  Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm&rsquo;s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About the Role
  </strong>
 </p>
 <p>
  We are looking for a highly driven Technical Product Manager to join the Paytm Gold team and help build the next generation of digital gold products at scale. This role blends deep technical understanding with strong product thinking to deliver secure, compliant, high-performance systems that power one of India&rsquo;s largest digital gold businesses.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <p>
  - Lead the end-to-end product lifecycle for gold platform initiatives &mdash; from requirement gathering, technical feasibility, and design, to delivery, monitoring, and optimization.
 </p>
 <p>
  - Translate business goals into detailed technical product specifications, architecture discussions, and API contracts.
 </p>
 <p>
  - Work closely with engineering, design, data, compliance, finance, and external gold partners to ensure seamless, reliable operations.
 </p>
 <p>
  - Own and enhance core gold systems such as pricing engines, settlement flows, reconciliation pipelines, ledgers, and storage workflows
 </p>
 <p>
  - .Define product roadmaps balancing performance, scalability, compliance, and user experience.
 </p>
 <p>
  - Partner with engineering teams to drive high-quality execution: sprint planning, backlog prioritization, technical debt management, and release coordination.
 </p>
 <p>
  - Deep-dive into system issues, support incident resolution, and implement long-term stability improvements.
 </p>
 <p>
  - Build and optimize dashboards, monitoring, and alerts for critical gold operations.
 </p>
 <p>
  - Ensure regulatory, audit, and risk compliance across product features and backend systems.
 </p>
 <p>
  - Drive innovation through experimentation, competitive benchmarking, and customer insights.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Preferred Experience &amp; Skills
  </strong>
 </p>
 <p>
  - 4&ndash;8 years of product management experience, with at least 2+ years in technical or platform product roles.
 </p>
 <p>
  - Strong technical depth &mdash; ability to understand APIs, microservices, data flows, cloud infrastructure, and system design.
 </p>
 <p>
  - Proven experience driving complex backend products, financial systems, or real-time transactional platforms.
 </p>
 <p>
  - Familiarity with payments, fintech, commodities, or regulated products is a strong plus.
 </p>
 <p>
  - Excellent analytical skills with comfort in SQL, dashboards, metrics, and experimentation.
 </p>
 <p>
  - Ability to collaborate across engineering, compliance, legal, business, and operations teams.
 </p>
 <p>
  - Strong communication and documentation skills with a structured, detail-oriented approach.
 </p>
 <p>
  - User-obsessed mindset with a bias towards action, ownership, and delivering impact.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What Success Looks Like
  </strong>
 </p>
 <p>
  - Stable, scalable gold systems with high uptime and zero-error execution.
 </p>
 <p>
  - Shorter delivery cycles through clarity in technical requirements and better cross-functional alignment.
 </p>
 <p>
  - Enhanced product performance with faster pricing, smoother settlements, and reduced operational overhead.
 </p>
 <p>
  - Regulatory-compliant launches with audit-ready documentation and robust controls.
 </p>
 <p>
  - New features that unlock business growth and elevate customer trust.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Why Join Paytm Gold
  </strong>
 </p>
 <p>
  - Opportunity to build and scale one of India&rsquo;s largest digital gold platforms.
 </p>
 <p>
  - Work with high-ownership teams solving complex fintech problems.
 </p>
 <p>
  - Shape products that impact millions of users and billions in monthly transactions.
 </p>
 <p>
  - Fast-paced, innovative, and highly collaborative environment.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Compensation
  </strong>
  :&nbsp;
 </p>
 <p>
  If you are the right fit, we believe in creating wealth for you
 </p>
 <p>
  With enviable 500 mn+ registered users, 17 mn+ merchants and depth of data in our ecosystem, we are in a unique position to democratize credit for deserving consumers &amp; merchants &ndash; and we are committed to it.
 </p>
 <p>
  India&rsquo;s largest digital lending story is brewing here. It&rsquo;s your opportunity to be a part of the story!
 </p>
 <p>
 </p>
 <p>
  <br/>
 </p>
 <br/>
 <p>
  We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
 </p>
</div>


Product Management- Product Manager - Paytm Gold

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