Home › Companies › Ejgk Fa Em2 Oraclecloud Com CX 1 › Digital Next :: Manager - Gen AI - Product Manager
Digital Next :: Manager - Gen AI - Product Manager
Ejgk Fa Em2 Oraclecloud Com CX 1 · Mumbai - Nesco-KPMG, Mumbai, Maharashtra, IN · Active · Oracle Recruiting Cloud / Fusion HCM
Job facts
| Field | Value |
|---|---|
| Company | Ejgk Fa Em2 Oraclecloud Com CX 1 |
| Title | Digital Next :: Manager - Gen AI - Product Manager |
| Normalized title | - |
| Department / team | - |
| Location | Maharashtra, IN, United States |
| Work model | - |
| Employment type | - |
| Salary | - |
| Status | active |
| ATS provider | Oracle Recruiting Cloud / Fusion HCM |
| Posted / first seen | 2026-06-04 / 2026-06-06 |
| Changed / last seen | 2026-06-06 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Ejgk Fa Em2 Oraclecloud Com CX 1. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Oracle Recruiting Cloud / Fusion HCM. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in Maharashtra. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Ejgk Fa Em2 Oraclecloud Com CX 1 |
| Source | 04604479-ffad-425f-8b74-43356cf489e1 |
| ATS provider | Oracle Recruiting Cloud / Fusion HCM |
Description
Description
About KPMG in India
KPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada.
KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment.
Responsibilities
Product Manager – Generative AI Role Summary:
We are looking for a Product Manager – Generative AI to lead the development and delivery of AI-driven products, leveraging LLMs and advanced AI capabilities to drive business value and innovation.
Key Responsibilities: Define and own the product roadmap for GenAI solutions. Collaborate with engineering, data science, and business teams to deliver AI-powered features. Identify and prioritize use cases for LLMs (Chatbots, automation, copilots) . Translate business requirements into product specifications and user stories . Drive end-to-end product lifecycle from ideation to launch. Ensure responsible AI practices , governance, and compliance. Required Skills & Experience: 5–10 years of experience in product management / digital products Strong understanding of Generative AI, LLMs, NLP, and AI ecosystems Experience with AI/ML product delivery or data-driven platforms Ability to work with cross-functional teams and stakeholders Preferred: Exposure to OpenAI / Azure AI / Google AI tools Experience in AI ethics, governance, and prompt engineering
Qualifications
Education : ME/MTech/BE/BTech/MCA/BCA/MSC/BSC with min of 6+ Years of relevant experience.
Equal employment opportunity information
KPMG India has a policy of providing equal opportunity for all applicants and employees regardless of their color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability or other legally protected status. KPMG India values diversity and we request you to submit the details below to support us in our endeavor for diversity. Providing the below information is voluntary and refusal to submit such information will not be prejudicial to you.
Full job record
| Job ID | 83b09e2983ecde2a7a11ff30f1d4e09dc6200b22 |
| Org ID | edf1bf1c-6cfc-4465-a6ed-807f52bb1e56 |
| Source ID | 04604479-ffad-425f-8b74-43356cf489e1 |
| Board ID | 04604479-ffad-425f-8b74-43356cf489e1 |
| Provider | oracle_hcm |
| Provider Job Key | INTG10045180 |
| Title | Digital Next :: Manager - Gen AI - Product Manager |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Mumbai - Nesco-KPMG, Mumbai, Maharashtra, IN |
| Department | — |
| Team | — |
| Employment Type | — |
| Workplace Type | — |
| Remote Policy | — |
| Country | United States |
| Region | IN |
| City | Maharashtra |
| Salary Raw | Description About KPMG in India KPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada. KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment. Responsibilities Product Manager – Generative AI Role Summary: We are looking for a Product Manager – Generative AI to lead the development and delivery of AI-driven products, leveraging LLMs and advanced AI capabilities to drive business value and innovation. Key Responsibilities: Define and own the product roadmap for GenAI solutions. Collaborate with engineering, data science, and business teams to deliver AI-powered features. Identify and prioritize use cases for LLMs (Chatbots, automation, copilots) . Translate business requirements into product specifications and user stories . Drive end-to-end product lifecycle from ideation to launch. Ensure responsible AI practices , governance, and compliance. Required Skills & Experience: 5–10 years of experience in product management / digital products Strong understanding of Generative AI, LLMs, NLP, and AI ecosystems Experience with AI/ML product delivery or data-driven platforms Ability to work with cross-functional teams and stakeholders Preferred: Exposure to OpenAI / Azure AI / Google AI tools Experience in AI ethics, governance, and prompt engineering Qualifications Education : ME/MTech/BE/BTech/MCA/BCA/MSC/BSC with min of 6+ Years of relevant experience. Equal employment opportunity information KPMG India has a policy of providing equal opportunity for all applicants and employees regardless of their color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability or other legally protected status. KPMG India values diversity and we request you to submit the details below to support us in our endeavor for diversity. Providing the below information is voluntary and refusal to submit such information will not be prejudicial to you. |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://ejgk.fa.em2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/INTG10045180 |
| Apply URL | https://ejgk.fa.em2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/INTG10045180 |
| First Seen At | 2026-06-06 10:58:11Z |
| Last Seen At | 2026-06-06 18:50:42Z |
| Last Checked At | 2026-06-06 18:50:42Z |
| Last Changed At | 2026-06-06 10:58:11Z |
| Inactive At | — |
| Source Posted At | 2026-06-04 10:32:33Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=oracle_hcm/board=ejgk.fa.em2.oraclecloud.com|CX_1/date=2026-06-06/2026-06-06T18-49-50-864Z-40e2e4b22b2814ceda086fbc2e47b6240137a7635d38c15d7a672cc2d634f573.json |
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