ai product manager

Landmark Group

<div>
 <p>
  <strong>
   About Landmark Digital:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Landmark Group, a renowned retail and hospitality conglomerate in the Middle East, North Africa and India.
  <strong>
   Landmark Digital is the dynamic digital arm of Landmark Retail,
  </strong>
  serving as the cornerstone for the omnichannel business strategy.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Role Summary
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are looking for a
  <strong>
   Product Manager &ndash; Martech &amp; AI
  </strong>
  to lead the development of next-generation marketing technology products powered by artificial intelligence. The role will be responsible for driving the full product lifecycle&mdash;from strategy and vision to execution and delivery&mdash;ensuring that AI-driven solutions create measurable impact for the business.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Define and own the vision, strategy, and roadmap for AI-enabled Martech products.
  </li>
  <li>
   Translate business objectives into clear product requirements and delivery plans.
  </li>
  <li>
   Collaborate closely with engineering, data science and marketing teams to build and scale solutions.
  </li>
  <li>
   Monitor emerging trends in AI and Martech to ensure our products remain innovative and market-leading.
  </li>
 </ul>
 <p>
  <strong>
   Key Competencies &amp; Behaviors
  </strong>
 </p>
 <ul>
  <li>
   Demonstrated expertise in Martech and AI-driven technologies.
  </li>
  <li>
   Strong product management skills across roadmap planning, prioritization and lifecycle execution.
  </li>
  <li>
   Enterprise-first mindset with resilience, ownership and accountability.
  </li>
  <li>
   Ability to influence, align and inspire cross-functional stakeholders.
  </li>
 </ul>
 <p>
 </p>
</div>


AI Product Manager – Martech

Discover Dollar

<div><div><b>About Discover Dollar</b></div><div>
Discover Dollar is an AI-driven recovery audit platform used by large enterprises to identify and capture overpayments and revenue leakages across Source-to-Pay. We blend domain expertise (procurement, AP, contracts) with modern AI (LLMs, NLP, anomaly detection) to surface opportunities measured in real dollars. We have worked with enterprises like Target, Lowe&rsquo;s, AbInbev, Carrier, Neiman Marcus, Saks, Advance Auto Parts etc and have saved over $1 Billion in real dollars for customers.</div><div></div><div><b><br>
Why this role exists?</b></div><div>
We&rsquo;re scaling our AI product suite - invoice &amp; contract and terms extraction, anomaly and overpayment detection, and analyst workflows for both internal and client users. We need a product leader who can turn ambiguous customer pain into shipped, secure, and measurable AI features that enterprise customers love and finance leaders trust.</div><div></div><div><b><br>
What you&rsquo;ll own?</b></div><div><b>
Strategy &amp; Outcomes</b></div><ul><li>
Define and own the AI product strategy and measurable outcomes for recovery, accuracy, and time-to-value across enterprise accounts.</li><li>
Translate market and customer signals (Procurement, AP, Audit, Infosec, Legal) into a prioritized roadmap with clear trade-offs.</li></ul><div><b>
Product Discovery</b></div><ul><li>
Run deep discovery with Fortune 1000 stakeholders and Discover Dollar analysts to map jobs-to-be-done, decision points, and data realities (SAP/Oracle/Coupa/Ariba exports, data lake, data warehouse extracts, contracts, invoices, emails, credit notes).</li><li>
Validate problems and solutions with prototypes (AI tools like Lovable, Replit, Figma, Low-code tools etc) and pilot metrics before committing engineering.</li></ul><div></div><div><b><br>
Product Delivery</b></div><ul><li>
Lead cross-functional squads (ML/DS, Backend, Frontend, Design, Data Platform, Security) to ship high-quality increments on a predictable cadence.</li><li>
Write crisp PRDs, acceptance criteria, and instrument the product for analytics/telemetry (events, funnels, precision/recall dashboards).</li><li>
Drive integrations and partner workflows (e.g., SAP S/4HANA, Oracle, Coupa/Ariba, RMS) with clear APIs and data contracts.</li></ul><div><b>
AI/ML Product Craft</b></div><ul><li>
Shape AI features such as document extraction (OCR + NLP), contract terms understanding, Complex Agentic AI workflows, LLM/RAG assistants for analysts, anomaly/risk scoring, and human-in-the-loop review.</li><li>
Partner with DS/ML on evaluation frameworks (offline/online), data labeling strategy, prompt &amp; model versioning, and cost/performance tuning (latency, tokens, GPU/CPU budgets).</li><li>
Establish monitoring/guardrails: drift, bias, hallucination containment, red-teaming, feedback loops.</li></ul><div><b>
Governance, Privacy &amp; Security</b></div><ul><li>
Embed privacy-by-design and enterprise controls (role-based access, audit logs, retention, encryption).</li><li>
Coordinate with customers&rsquo; InfoSec/Legal on DPAs, SOC 2/ISO 27001 alignment, data residency, and model risk documentation (model cards, DPIAs where needed).</li></ul><div><b>
Customer &amp; GTM</b></div><ul><li>
Own product pilots, success criteria, and value realization (business cases, ROI).</li><li>
Enable Sales/CS with narratives, demos, pricing/packaging inputs, and win/loss insights.</li><li>
Collect structured feedback and convert it into backlog and experiments.</li></ul><div></div><div><b><br>
What success looks like?</b></div><div>
30 days: Understand domain and data flows; publish product health baseline; ship a small improvement (e.g., analyst UX, cost reduction).</div><div>
60 days: Deliver a validated AI feature MVP (e.g., improved clause extraction or anomaly ranking) to a pilot customer with a signed success plan.</div><div>
90 days: Hit agreed accuracy + adoption targets; publish a 2-quarter roadmap tied to revenue and recovery dollars; formalize AI evaluation &amp; monitoring dashboards.</div><div></div><div><b><br>
Key KPIs/metrics you&rsquo;ll move</b></div><ul><li>
Business impact: Verified recovery dollars, time-to-detect, time-to-close.</li><li>
Model quality: Precision/recall/F1 by use case; false positive rate; drift indicators.</li><li>
Efficiency: Cost per decision (tokens/compute), latency, analyst throughput.</li><li>
Adoption: Active users, task completion rate, retention, NPS/CSAT.</li><li>
Reliability &amp; risk: Incident rate, hallucination guardrail triggers, SLA/SLO adherence.</li></ul><div></div><div><b><br>
Must-have qualifications</b></div><ul><li>
5+ years in product management with at least 1 year of shipping AI/ML-powered features in production (LLMs/RAG/NLP/vision/ML detection).</li><li>
Track record in B2B enterprise SaaS with complex data and security needs; comfortable working with Procurement/AP/Finance stakeholders.</li><li>
Strong discovery and storytelling skills: can turn messy datasets and ops realities into a clear product narrative and roadmap.</li><li>
Technical depth to partner with DS/ML/Engineering understands evaluation metrics, A/B testing, data pipelines, API design, and basics of SQL/Python.</li><li>
Analytics-first: habit of instrumenting funnels, defining guardrails, and making decisions from dashboards and user studies.</li><li>
Excellent written communication (PRDs, RFCs, customer docs) and stakeholder management across Sales, CS, Legal, and Infosec.</li><li>
Bachelor&rsquo;s in Engineering/CS/Math/Statistics or equivalent experience.</li></ul><div></div><div><b><br>
Nice-to-have</b></div><ul><li>
Domain exposure to Source-to-Pay, AP automation, recovery audit, contract analytics, or financial controls.</li><li>
Experience with SAP/Oracle/Workday/Coupa/Ariba data models and enterprise integrations.</li><li>
Familiarity with MLOps (MLflow/W&amp;B), vector databases (FAISS/Pinecone), and eval frameworks for LLMs.</li><li>
Understanding of model risk management, secure AI patterns, and enterprise compliance expectations.</li><li>
Prior startup or zero-to-one product experience.</li></ul><div></div><div><b><br>
Our current tech context (for information)</b></div><ul><li>
AI Stack: LLMs (commercial &amp; open-source Open AI, Llama, Claude), RAG pipelines, OCR + NLP for documents,
</li><li>Data stack: cloud object storage, relational DBs, event pipelines, analytics stack like Databricks, Elastic Search,
</li><li>Cloud Stack: Primarily Azure but build cloud agnostic product to make it deployable in AWS, GCP etc.</li><li>
Dev Stack: Python, Javascript, React</li><li>
Product tooling: Clickup (Jira equivalent), Postman, Figma</li></ul><div></div><div><b><br>
How we work</b></div><ul><li>
Bangalore-based hybrid team with collaboration across India and North America</li><li>
Pragmatic agile: weekly planning, monthly business reviews, quarterly product reviews tied to revenue and recovery outcomes.</li></ul><div></div><div><b><br>
What you&rsquo;ll get to do</b></div><ul><li>
Ship AI that recovers real money for global enterprises. (Already saved over $1B+ with current product, need to 10X the impact)</li><li>
Build analyst-in-the-loop systems that blend human judgment with AI scale.</li><li>
Influence pricing/packaging and help define the category for AI-assisted recovery audit.</li></ul><div></div><div><b><br>
Compensation &amp; benefits</b></div><div>
Competitive with Bangalore market for Product Manager talent, plus benefits and performance incentives.</div></div><div></div>

AI Product Manager (Enterprise SaaS – Finance/Procurement)

JPMorganChase

<div><p>Be a leader committed to understanding customer needs with your advanced knowledge of product development, design, and data analytics
</p><p>You enjoy shaping the future of product innovation as a core leader, driving value for customers, guiding successful launches, and exceeding expectations. Join our dynamic team and make a meaningful impact by delivering high-quality products that resonate with clients.<br>
</p><p><br>
As a Product Manager in the Machine Learning and Optimization team within Chase Digital, you are an integral part of the team that innovates new product offerings and leads the end-to-end product life cycle. As a core leader, you are responsible for acting as the voice of the customer and developing profitable products that provide customer value. You are a NLP/ML expert with hands-on knowledge of deep learning and traditional NLP approaches, sound experimentation and have built state-of-the-art scalable systems.
</p><p>Utilizing your deep understanding of how to get a product off the ground, you guide the successful launch of products, gather crucial feedback, and ensure top-tier client experiences. With a strong commitment to scalability, resiliency, and stability, you collaborate closely with cross-functional teams to deliver high-quality products that exceed customer expectations.<br>
</p><p></p><p><b>Job responsibilities
</b></p><ul><li>Develops a conversational AI product strategy and product vision that delivers value to customers
</li><li>Leads AI/ML/NLP projects from concept to delivery, by bringing together ML engineers, software developers, data scientists and designers
</li><li>Leads AI innovation by incorporating the latest advances in Gen AI, agentic systems, LLMs, Deep learning and NLP into the conversational AI product
</li><li>Creates and tracks conversational AI metrics in close collaboration with data science teams
</li><li>Collaborates closely with computational linguists and data annotation teams to create and validate high quality conversational data for training and evaluating ML system
</li><li>Manages discovery efforts and market research to uncover customer solutions and integrate them into the product roadmap
</li><li>Owns, maintains, and develops a product backlog that enables development
</li><li>Executes on the product roadmap by creating epics on Jira, leading agile scrum teams, following agile methodology maintaining clean agility metrics
</li><li>Builds the framework and tracks the product's key success metrics such as cost, feature and functionality, risk posture, and reliability and communicates the same to key stakeholders.
</li></ul><p><b>Required qualifications, capabilities, and skills
</b></p><ul><li>2+ years of experience or equivalent expertise in product management or a relevant domain area
</li><li>Hands-on NLP and Machine learning experience, specifically in deep learning, LLMs and machine learning
</li><li>Experience in building large-scale AI systems
</li><li>Experience in leading cross-functional teams to deliver results to stakeholders
</li><li>MS or PhD in Computer Science
</li><li>Advanced knowledge of the product development life cycle, design, and data analytics
</li><li>Proven ability to lead product life cycle activities including discovery, ideation, strategic development, requirements definition, and value management
</li>Excellent communication skills and stakeholder management skills<br>
<li>
</li></ul><p></p><p><b>Preferred qualifications, capabilities, and skills
</b></p><ul><li>Experience with Agile methodologies, and leading agile scrum teams; Jira experience including epic creation, sprint planning, and other sprint ceremonies
</li><li>Experience with system design, scaling, and deployment
</li><li>Publications in AI/ML/NLP conferences and/or patents; Experience with responsible AI; Experience with Python, Java, Pytorch, LLM prompting
</li><li>Demonstrated prior experience working in a highly matrixed, complex organization</li></ul></div>

Product Manager

<div><b>JOB DESCRIPTION</b><p><br>
Be a leader committed to understanding customer needs with your advanced knowledge of product development, design, and data analytics</p><p>
You enjoy shaping the future of product innovation as a core leader, driving value for customers, guiding successful launches, and exceeding expectations. Join our dynamic team and make a meaningful impact by delivering high-quality products that resonate with clients.</p><p><br>
As a Product Manager in the Machine Learning and Optimization team within Chase Digital, you are an integral part of the team that innovates new product offerings and leads the end-to-end product life cycle. As a core leader, you are responsible for acting as the voice of the customer and developing profitable products that provide customer value. You are a NLP/ML expert with hands-on knowledge of deep learning and traditional NLP approaches, sound experimentation and have built state-of-the-art scalable systems.
</p><p>Utilizing your deep understanding of how to get a product off the ground, you guide the successful launch of products, gather crucial feedback, and ensure top-tier client experiences. With a strong commitment to scalability, resiliency, and stability, you collaborate closely with cross-functional teams to deliver high-quality products that exceed customer expectations.
</p><p></p><p><b>Job responsibilities</b></p><ul><li>
Develops a conversational AI product strategy and product vision that delivers value to customers</li><li>
Leads AI/ML/NLP projects from concept to delivery, by bringing together ML engineers, software developers, data scientists and designers</li><li>
Leads AI innovation by incorporating the latest advances in Gen AI, agentic systems, LLMs, Deep learning and NLP into the conversational AI product</li><li>
Creates and tracks conversational AI metrics in close collaboration with data science teams</li><li>
Collaborates closely with computational linguists and data annotation teams to create and validate high quality conversational data for training and evaluating ML system</li><li>
Manages discovery efforts and market research to uncover customer solutions and integrate them into the product roadmap</li><li>
Owns, maintains, and develops a product backlog that enables development</li><li>
Executes on the product roadmap by creating epics on Jira, leading agile scrum teams, following agile methodology maintaining clean agility metrics</li><li>
Builds the framework and tracks the product's key success metrics such as cost, feature and functionality, risk posture, and reliability and communicates the same to key stakeholders.</li></ul><p><b>
Required qualifications, capabilities, and skills</b></p><ul><li>
2+ years of experience or equivalent expertise in product management or a relevant domain area</li><li>
Hands-on NLP and Machine learning experience, specifically in deep learning, LLMs and machine learning</li><li>
Experience in building large-scale AI systems
</li><li>Experience in leading cross-functional teams to deliver results to stakeholders</li><li>
MS or PhD in Computer Science</li><li>
Advanced knowledge of the product development life cycle, design, and data analytics</li><li>
Proven ability to lead product life cycle activities including discovery, ideation, strategic development, requirements definition, and value management</li><li>
Excellent communication skills and stakeholder management skills</li></ul><p>
</p><p><b>Preferred qualifications, capabilities, and skills</b></p><ul><li>
Experience with Agile methodologies, and leading agile scrum teams; Jira experience including epic creation, sprint planning, and other sprint ceremonies</li><li>
Experience with system design, scaling, and deployment</li><li>
Publications in AI/ML/NLP conferences and/or patents; Experience with responsible AI; Experience with Python, Java, Pytorch, LLM prompting</li><li>
Demonstrated prior experience working in a highly matrixed, complex organization</li></ul>
<b>ABOUT US</b><div><br>
<p>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.<br>
<br>
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</p></div><br>
<br>
<br>
<b>ABOUT THE TEAM</b><br>
<div>
Our Consumer &amp; Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We&rsquo;re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions &ndash; all while ranking first in customer satisfaction.</div><div><br>
<br>
</div><div>The Digital team is dedicated to creating innovative, industry-leading products and experiences that help customers access, share and control their financial data so they can make smart decisions with their money. Teams enable innovation while adhering to the firm&rsquo;s data sharing principles of security, customer control and convenience, and privacy.</div></div>

Snap Inc.

<div><div><div>Snap Inc</div> is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company&rsquo;s three core products are <div>Snapchat</div>, a visual messaging app that enhances your relationships with friends, family, and the world; <div>Lens Studio</div>, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, <div>Spectacles</div>.</div><div></div><div>
The Product team uses creativity, insights, and operational excellence to steer our product vision across Snap Inc. This team of Designers, Scientists, and Product Managers work in a highly collaborative environment to build the products and experiences that bring our community together in new and special ways.</div><div></div><div>
We&rsquo;re looking for a Product Manager to join the Product Team at Snap!</div><div></div><div>
What you&rsquo;ll do:</div><ul><li><div>
Be a product leader for Snap&rsquo;s Generative AI Creative Tools by deeply understanding the needs of our users and developing a compelling product vision and strategy.</div></li><li><div>
Spearhead the future of visual self-expression through Generative AI at Snap, working at the intersection of camera technology, augmented reality, and cutting-edge AI to build products that will be used by hundreds of millions of people every day.</div></li><li><div>
Partner with designers, engineers, and data scientists to build technology, systems, and products that redefine how our community expresses themselves through the use of Generative AI.</div></li><li><div>
Identify trends in data, plan short- and long-term roadmaps.</div></li><li><div>
Execute throughout the product development process by gathering and defining requirements, writing specs, creating wireframes and workflows, running user studies, conducting AB tests, and coordinating marketing and other launch plans.</div></li><li><div>
Build alignment across the company on your vision, including with leadership and executives.</div></li></ul><div></div><div>
Knowledge, Skills &amp; Abilities:</div><ul><li><div>
Ability to collaborate and build trust with engineers, designers, data science and other cross-functional teammates</div></li><li><div>
Ability to think creatively and approach problems with system-level thinking</div></li><li><div>
Ability to independently initiate and drive projects to completion with minimal guidance and speed of execution</div></li><li><div>
Excellent analytical skills and experience with AB testing</div></li><li><div>
Ability to communicate concisely and influence outcomes</div></li><li><div>
Skilled in the creation of delightful, polished and performant products for customers in every market and on any device</div></li><li><div>
Experience performing product-oriented quantitative analysis</div></li></ul><div></div><div>
Minimum Qualifications</div><ul><li><div>
BS/BA degree or equivalent years of experience</div></li><li><div><div>
4+ years of experience building and shipping products at a consumer or enterprise technology company</div></div></li></ul><div></div><div>
Preferred Qualifications:</div><ul><li><div>
Experience building and shipping scaled products at a consumer technology company</div></li><li><div>
Experience working on Image and video Generative AI models and building AI creation products</div></li><li><div>
Experience working with XFN stakeholders in Gen AI Safety and Gen AI research to provide feedback on creative quality and safety improvements to Gen AI models</div></li><li><div>
Experience with conducting evals and fine tuning models for product use cases in collaboration with ML engineering</div></li><li><div>
Experience working on Camera or Creation Tools that leverage Generative AI, AR tools or video editing tools for creators</div></li><li><div>
Experience with software development, product design, or interaction design</div></li></ul><div></div><div>
If you have a disability or special need that requires accommodation, please don&rsquo;t be shy and provide us some <div>information</div>.</div><div></div><div>
&quot;Default Together&quot; Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a &ldquo;default together&rdquo; approach and expect our team members to work in an office 4+ days per week.</div><div></div><div>
At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.</div><div></div><div>
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, where applicable).</div><div></div><div><div>
Our Benefits</div>: Snap Inc. is its own community, so we&rsquo;ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap&rsquo;s long-term success!</div><div></div><div>
Compensation</div><div>
In the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate&rsquo;s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future.</div><div></div><div><div>
Zone A (CA, WA, NYC)</div>:</div>
The base salary range for this position is $173,000-$259,000 annually.<div></div><div><div><br>
Zone B</div>:</div>
The base salary range for this position is $164,000-$246,000 annually.<div></div><div><div>
Zone C</div>:</div>
The base salary range for this position is $147,000-$220,000 annually.<div></div><div>
This position is eligible for equity in the form of RSUs.</div></div><div></div>

Product Manager, Generative AI

Nagarro

<div>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 Must have Skills : Generative AI Fundamentals (Capable),
 <br/>
 <br/>
 Job Description : Define and prioritize the product roadmap for the genAI solutions, ensuring alignment with strategic business goals. - Gather requirements from users across departments to ensure the tool addresses real-world use cases. - Prioritize features, manage the backlog, and coordinate cross-functional delivery teams. - Gather and analyze customer feedback to inform product decisions. - Monitor product performance and iterate on features to improve user experience. - Stay current with advancements in AI/ML technologies and market trends. Skills: - Strong understanding of AI/ML concepts and technologies. - Experience with product management tools and methodologies. - Excellent communication and collaboration skills. - Ability to analyze data and make data-driven decisions. - Strong problem-solving skills and attention to detail. Qualifications: - Bachelor's degree in Computer Science, Business, or a related field
</div>


PRODUCT-OWNER

Hrsimpli

<p><b>Job Title: Product Manager &ndash; AI Agents</b></p><p><b>Location: Hyderabad or Remote</b></p><p><b>Type: Full-time | AI-first Startup Environment</b></p><p><b>Experience: 4+ years in product management, 2+ years in AI/ML products preferred</b></p><p>As the Product Manager, you'll define and drive the roadmap for AI-native workflows,</p><p>working closely with the AI Tech Lead and a high-caliber engineering team.</p><p>Your goal: deliver modular, autonomous solutions that automate decision-making, reduce</p><p>cost, and accelerate outcomes.</p><p><b>Responsibilities</b></p><p>&#9679; Own product vision, roadmap, and execution for agentic AI products</p><p>&#9679; Deeply understand user needs across enterprise operations and translate them into</p><p>agentic workflows.</p><p>&#9679; Define and prioritize product requirements, user stories, and success metrics.</p><p>&#9679; Collaborate daily with AI Tech Lead / Engineering Manager to shape features, model</p><p>capabilities, data flows, and agentic behaviors.</p><p>&#9679; Work closely with internal SMEs, customers, and partners to validate and iterate fast.</p><p>&#9679; Ensure compliance, data security, and governance are baked into product features.</p><p>&#9679; Guide UI/UX for explainability, user control, and seamless human-AI handoffs.</p><p>&#9679; Manage cross-functional delivery (engineering, design, QA, marketing, sales</p><p>enablement).</p><p>&#9679; Track market trends in AI agents, enterprise SaaS, and automation tools.</p><p><b>Requirements</b></p><p>&#9679; Proven experience launching B2B or enterprise SaaS products</p><p>&#9679; Strong understanding of AI/ML, automation platforms, or intelligent agents.</p><p>&#9679; Experience working in agile product teams with engineers, designers, and data</p><p>scientists.</p><p>&#9679; Analytical mindset with a data-driven approach to prioritization and decisions.</p><p>&#9679; Excellent communication, stakeholder management, and leadership skills.</p><p><b>Why Join Us</b></p><p>&#9679; Work at the cutting edge of AI with real enterprise impact.</p><p>&#9679; Shape foundational agentic AI solutions used across industries.</p><p>&#9679; High ownership, fast iterations, and room to experiment.</p><ul><li>&#9679; Collaborate with a passionate team of AI builders and business innovators.</li></ul><p>Job Types: Full-time, Permanent</p><p>Pay: &#8377;3,000,000.00 - &#8377;3,500,000.00 per year</p><p>Benefits:</p><ul><li>Leave encashment</li><li>Life insurance</li><li>Paid sick time</li><li>Paid time off</li><li>Work from home</li></ul><p>Experience:</p><ul><li>Product management: 4 years (Preferred)</li><li>Artificial Intelligence : 4 years (Preferred)</li><li>SaaS: 4 years (Preferred)</li></ul><p>Work Location: In person</p>

Product Manager : AI Agent

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