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Case Studies

Commerce Studio

AI Innovation

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Case Studies

Commerce Studio

AI Innovation

Tech Services

Company

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AI Product Manager

Shape AI-Native Commerce Experiences that Deliver Real Business Outcomes

AI Product Manager

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Mindstix is looking for an AI Product Manager to lead next‑gen AI initiatives across intelligent commerce, personalization, and automation. You will work at the intersection of strategy, data, design, and engineering to turn vague AI ideas into shipped products that move metrics like conversion, AOV, CLTV, and operational efficiency. This role is ideal for product leaders who are fluent in both business outcomes and AI capabilities and are excited to build AI-native products for global retail, CPG, and SaaS brands.

Roles and Responsibilities

Own the vision and roadmap for AI-powered features across conversational commerce, personalization, recommendations, search, forecasting, and internal productivity tools.
Own the vision and roadmap for AI-powered features across conversational commerce, personalization, recommendations, search, forecasting, and internal productivity tools.
Own the vision and roadmap for AI-powered features across conversational commerce, personalization, recommendations, search, forecasting, and internal productivity tools.
Own the vision and roadmap for AI-powered features across conversational commerce, personalization, recommendations, search, forecasting, and internal productivity tools.
Own the vision and roadmap for AI-powered features across conversational commerce, personalization, recommendations, search, forecasting, and internal productivity tools.
Partner with customers and internal stakeholders to identify high‑value AI use cases, frame problem statements, and define success metrics (business, user, and model-level).
Partner with customers and internal stakeholders to identify high‑value AI use cases, frame problem statements, and define success metrics (business, user, and model-level).
Partner with customers and internal stakeholders to identify high‑value AI use cases, frame problem statements, and define success metrics (business, user, and model-level).
Partner with customers and internal stakeholders to identify high‑value AI use cases, frame problem statements, and define success metrics (business, user, and model-level).
Partner with customers and internal stakeholders to identify high‑value AI use cases, frame problem statements, and define success metrics (business, user, and model-level).
Translate complex workflows into AI-driven journeys and agentic flows, including triggers, context, human-in-the-loop interventions, and guardrails.
Translate complex workflows into AI-driven journeys and agentic flows, including triggers, context, human-in-the-loop interventions, and guardrails.
Translate complex workflows into AI-driven journeys and agentic flows, including triggers, context, human-in-the-loop interventions, and guardrails.
Translate complex workflows into AI-driven journeys and agentic flows, including triggers, context, human-in-the-loop interventions, and guardrails.
Translate complex workflows into AI-driven journeys and agentic flows, including triggers, context, human-in-the-loop interventions, and guardrails.
Work closely with Data/ML Engineers and AI Engineers to define data contracts, evaluation frameworks, offline/online metrics, and feedback loops.
Work closely with Data/ML Engineers and AI Engineers to define data contracts, evaluation frameworks, offline/online metrics, and feedback loops.
Work closely with Data/ML Engineers and AI Engineers to define data contracts, evaluation frameworks, offline/online metrics, and feedback loops.
Work closely with Data/ML Engineers and AI Engineers to define data contracts, evaluation frameworks, offline/online metrics, and feedback loops.
Work closely with Data/ML Engineers and AI Engineers to define data contracts, evaluation frameworks, offline/online metrics, and feedback loops.
Drive discovery and experimentation: A/B tests, prompt experiments, evaluation datasets, and UX experiments for AI features.
Drive discovery and experimentation: A/B tests, prompt experiments, evaluation datasets, and UX experiments for AI features.
Drive discovery and experimentation: A/B tests, prompt experiments, evaluation datasets, and UX experiments for AI features.
Drive discovery and experimentation: A/B tests, prompt experiments, evaluation datasets, and UX experiments for AI features.
Drive discovery and experimentation: A/B tests, prompt experiments, evaluation datasets, and UX experiments for AI features.
Prioritize the roadmap using impact vs. effort, technical feasibility, and risk trade-offs while maintaining a sharp focus on customer value.
Prioritize the roadmap using impact vs. effort, technical feasibility, and risk trade-offs while maintaining a sharp focus on customer value.
Prioritize the roadmap using impact vs. effort, technical feasibility, and risk trade-offs while maintaining a sharp focus on customer value.
Prioritize the roadmap using impact vs. effort, technical feasibility, and risk trade-offs while maintaining a sharp focus on customer value.
Prioritize the roadmap using impact vs. effort, technical feasibility, and risk trade-offs while maintaining a sharp focus on customer value.
Ensure AI experiences are trustworthy and safe: address explainability, failure modes, bias, hallucinations, privacy, and compliance considerations.
Ensure AI experiences are trustworthy and safe: address explainability, failure modes, bias, hallucinations, privacy, and compliance considerations.
Ensure AI experiences are trustworthy and safe: address explainability, failure modes, bias, hallucinations, privacy, and compliance considerations.
Ensure AI experiences are trustworthy and safe: address explainability, failure modes, bias, hallucinations, privacy, and compliance considerations.
Ensure AI experiences are trustworthy and safe: address explainability, failure modes, bias, hallucinations, privacy, and compliance considerations.
Collaborate with Product Designers to craft clear, interpretable AI UX (clarity on uncertainty, controls, overrides, rationale).
Collaborate with Product Designers to craft clear, interpretable AI UX (clarity on uncertainty, controls, overrides, rationale).
Collaborate with Product Designers to craft clear, interpretable AI UX (clarity on uncertainty, controls, overrides, rationale).
Collaborate with Product Designers to craft clear, interpretable AI UX (clarity on uncertainty, controls, overrides, rationale).
Collaborate with Product Designers to craft clear, interpretable AI UX (clarity on uncertainty, controls, overrides, rationale).
Work with GTM teams to position AI capabilities, define pricing/packaging options, and enable sales with clear value stories and demos.
Work with GTM teams to position AI capabilities, define pricing/packaging options, and enable sales with clear value stories and demos.
Work with GTM teams to position AI capabilities, define pricing/packaging options, and enable sales with clear value stories and demos.
Work with GTM teams to position AI capabilities, define pricing/packaging options, and enable sales with clear value stories and demos.
Work with GTM teams to position AI capabilities, define pricing/packaging options, and enable sales with clear value stories and demos.
Stay on top of the AI landscape (LLMs, RAG, agents, evaluation, LLMOps) and translate emerging capabilities into concrete opportunities for Mindstix and its customers.
Stay on top of the AI landscape (LLMs, RAG, agents, evaluation, LLMOps) and translate emerging capabilities into concrete opportunities for Mindstix and its customers.
Stay on top of the AI landscape (LLMs, RAG, agents, evaluation, LLMOps) and translate emerging capabilities into concrete opportunities for Mindstix and its customers.
Stay on top of the AI landscape (LLMs, RAG, agents, evaluation, LLMOps) and translate emerging capabilities into concrete opportunities for Mindstix and its customers.
Stay on top of the AI landscape (LLMs, RAG, agents, evaluation, LLMOps) and translate emerging capabilities into concrete opportunities for Mindstix and its customers.

Who Fits Best?

You are equally excited about business outcomes and model capabilities-you can speak the language of both CEOs and engineers.
You are comfortable with ambiguity and non-deterministic systems; you know that AI products are probabilistic and require continuous iteration.
You thrive in a customer-centric environment, listening deeply, probing for the “real” problem, and co‑creating solutions.
You are a systems thinker-able to connect UX, data, models, and operations into a coherent product.
You value craftsmanship: high-quality problem statements, clean documentation, and thoughtful decision logs.
You are curious, hands-on with AI tools/playgrounds, and constantly exploring what new models and frameworks can unlock.
You are curious, hands-on with AI tools/playgrounds, and constantly exploring what new models and frameworks can unlock.
You are curious, hands-on with AI tools/playgrounds, and constantly exploring what new models and frameworks can unlock.
You are curious, hands-on with AI tools/playgrounds, and constantly exploring what new models and frameworks can unlock.
You are curious, hands-on with AI tools/playgrounds, and constantly exploring what new models and frameworks can unlock.

AI & Data Stack (You May Work With)

You do not need to know everything here. Depth in a few areas and curiosity to learn the rest matters more.
You do not need to know everything here. Depth in a few areas and curiosity to learn the rest matters more.
You do not need to know everything here. Depth in a few areas and curiosity to learn the rest matters more.
You do not need to know everything here. Depth in a few areas and curiosity to learn the rest matters more.
You do not need to know everything here. Depth in a few areas and curiosity to learn the rest matters more.
Cloud & LLM Platforms
Cloud & LLM Platforms
Cloud & LLM Platforms
Cloud & LLM Platforms
Cloud & LLM Platforms
Azure OpenAI / Azure AI, AWS Bedrock, Google Vertex AI
Azure OpenAI / Azure AI, AWS Bedrock, Google Vertex AI
Azure OpenAI / Azure AI, AWS Bedrock, Google Vertex AI
Azure OpenAI / Azure AI, AWS Bedrock, Google Vertex AI
Azure OpenAI / Azure AI, AWS Bedrock, Google Vertex AI
OpenAI, Anthropic, Cohere, and enterprise deployments of open‑source LLMs (Llama, Mistral, etc.)
OpenAI, Anthropic, Cohere, and enterprise deployments of open‑source LLMs (Llama, Mistral, etc.)
OpenAI, Anthropic, Cohere, and enterprise deployments of open‑source LLMs (Llama, Mistral, etc.)
OpenAI, Anthropic, Cohere, and enterprise deployments of open‑source LLMs (Llama, Mistral, etc.)
OpenAI, Anthropic, Cohere, and enterprise deployments of open‑source LLMs (Llama, Mistral, etc.)
AI Application & Orchestration
AI Application & Orchestration
AI Application & Orchestration
AI Application & Orchestration
AI Application & Orchestration
LangChain / LlamaIndex or similar orchestration frameworks
LangChain / LlamaIndex or similar orchestration frameworks
LangChain / LlamaIndex or similar orchestration frameworks
LangChain / LlamaIndex or similar orchestration frameworks
LangChain / LlamaIndex or similar orchestration frameworks
RAG pipelines: document ingestion, chunking, embeddings, vector stores, retrieval strategies
RAG pipelines: document ingestion, chunking, embeddings, vector stores, retrieval strategies
RAG pipelines: document ingestion, chunking, embeddings, vector stores, retrieval strategies
RAG pipelines: document ingestion, chunking, embeddings, vector stores, retrieval strategies
RAG pipelines: document ingestion, chunking, embeddings, vector stores, retrieval strategies
Agentic workflows: tool/function calling, multi‑step agents, copilots for internal and customer-facing use cases
Agentic workflows: tool/function calling, multi‑step agents, copilots for internal and customer-facing use cases
Agentic workflows: tool/function calling, multi‑step agents, copilots for internal and customer-facing use cases
Agentic workflows: tool/function calling, multi‑step agents, copilots for internal and customer-facing use cases
Agentic workflows: tool/function calling, multi‑step agents, copilots for internal and customer-facing use cases
Data & Analytics
Data & Analytics
Data & Analytics
Data & Analytics
Data & Analytics
Modern data stacks on Azure / GCP / AWS (data lakes, warehouses, CDP)
Modern data stacks on Azure / GCP / AWS (data lakes, warehouses, CDP)
Modern data stacks on Azure / GCP / AWS (data lakes, warehouses, CDP)
Modern data stacks on Azure / GCP / AWS (data lakes, warehouses, CDP)
Modern data stacks on Azure / GCP / AWS (data lakes, warehouses, CDP)
BI, experimentation and product analytics tools to track impact and model performance
BI, experimentation and product analytics tools to track impact and model performance
BI, experimentation and product analytics tools to track impact and model performance
BI, experimentation and product analytics tools to track impact and model performance
BI, experimentation and product analytics tools to track impact and model performance
Your role is to understand what is possible, ask the right questions, and make the right trade-offs, not to code models yourself.

Qualifications and Skills

3-7 years of experience in Product Management, with at least 1–2 years owning data/AI/ML‑driven products or features.
Proven track record of shipping successful products or features that use ML/AI, recommendations, search, ranking, prediction, or automation.
Strong product discovery skills: customer interviews, problem framing, hypothesis-driven experimentation, and analytics‑driven iteration.
Working understanding of core AI/ML concepts: supervised learning vs. generative AI, LLMs, RAG, precision/recall, evaluation datasets, A/B testing.
Ability to write clear PRDs, user stories, and acceptance criteria for AI-powered features (including data, UX, and evaluation requirements).
Experience working in domains like eCommerce, retail, CPG, D2C, or SaaS is a plus.
Excellent communication and storytelling skills-able to explain AI trade-offs to executives, engineers, and non-technical stakeholders.
Comfortable working in agile teams with designers, engineers, and data/ML specialists.

Benefits

Flexible working environment.
Competitive compensation and perks.
Health Insurance Coverage.
Rewards and Recognition.
Accelarated Career Paths.
Sponsored certifications.
Global customers.
Mentorship by industry leaders.

Location

Pune (India) headquarters
Reasonable flexi-timing
Hybrid options

Equal Opportunity Employer

Mindstix is committed to an inclusive and diverse work environment. We do not discriminate based on race, colour, ethnicity, ancestry, national origin, religion, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any other legally protected status.

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Mindstix is an AI-native engineering studio for ambitious enterprises. We help brands reinvent commerce experiences, embed AI into products and operations, and modernize cloud-native platforms end to end - from strategy and architecture through UX, full‑stack development, data engineering, and DevOps.

connect@mindstix.com

AI Innovation. Engineered. Accelerated.

© 2026 Mindstix Software Labs.
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Mindstix is an AI-native engineering studio for ambitious enterprises. We help brands reinvent commerce experiences, embed AI into products and operations, and modernize cloud-native platforms end to end - from strategy and architecture through UX, full‑stack development, data engineering, and DevOps.

connect@mindstix.com

AI Innovation. Engineered. Accelerated.

© 2026 Mindstix Software Labs.
All Rights Reserved.

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Working at Mindstix

ABOUT US

Mindstix is an AI-native engineering studio for ambitious enterprises. We help brands reinvent commerce experiences, embed AI into products and operations, and modernize cloud-native platforms end to end - from strategy and architecture through UX, full‑stack development, data engineering, and DevOps.

connect@mindstix.com

AI Innovation. Engineered. Accelerated.

© 2026 Mindstix Software Labs.
All Rights Reserved.

Got more questions?

Case Studies

Our Expertise

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Working at Mindstix

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Case Studies

Commerce Studio

Tech Services

Cloud Services

AI Innovation

Company

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Cookie Policy

FOLLOW US

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Medium

ABOUT US

Mindstix is an AI-native engineering studio for ambitious enterprises. We help brands reinvent commerce experiences, embed AI into products and operations, and modernize cloud-native platforms end to end - from strategy and architecture through UX, full‑stack development, data engineering, and DevOps.

connect@mindstix.com

AI Innovation. Engineered. Accelerated.

© 2026 Mindstix Software Labs.
All Rights Reserved.