Find Your Dream Product Manager Job in India

Location: Boise, ID or Remote: USA India

Company

Quantara AI is an AI-powered cybersecurity risk-intelligence platform that helps enterprises identify, quantify, prioritize, and manage cyber risks across cloud, on-premises, OT, and SaaS environments. The platform translates technical cyber exposure into financial and operational metrics, delivering tailored insights for Boards, CISOs, CFOs, and Risk Leaders.

Quantara AI enables organizations to focus on the highest-impact exposures, align mitigations with business outcomes, and realize measurable risk reduction and ROI. With unified visibility, continuous compliance, automated reporting, and real-time analytics.

Role Description

This is not a traditional Product Manager role. The Technical Product Manager / Product Delivery Lead is a full-time remote role responsible for driving end-to-end delivery of Quantara AI platform capabilities from concept through launch and iteration. While this role will contribute to product strategy and roadmap planning, the immediate priority is execution, delivery discipline, and hands-on technical contribution.

This role is expected to be approximately 50% product leadership and delivery management, and 50% hands-on technical execution. You will work directly with engineers to develop features where needed, review implementations, validate outcomes from the development team, perform testing, troubleshoot issues, and ensure every release meets enterprise quality standards.

The ideal candidate thrives in a fast-moving startup environment, takes ownership, removes blockers, drives accountability, and works effectively across distributed teams and multiple time zones, including offshore engineering teams.

Key Responsibilities

• Own end-to-end product delivery from concept through release and post-launch iteration.
• Drive sprint planning, backlog management, daily standups, retrospectives, release planning, and Agile execution.
• Serve as Product Owner and Scrum Master when needed.
• Translate customer, business, and technical requirements into clear user stories, acceptance criteria, and technical specifications.
• Drive engineering execution, delivery accountability, and release predictability.
• Work hands-on with the engineering team to develop features, review implementations, troubleshoot technical issues, and validate solutions.
• Perform functional testing, user acceptance testing, integration testing, and release validation.
• Review product quality before production deployment and ensure features meet customer and business expectations.
• Coordinate Engineering, AI/ML, QA, DevOps, UX, Customer Success, and Go-to-Market teams.
• Track delivery milestones, identify risks early, and proactively remove blockers.
• Engage directly with enterprise customers to gather feedback, validate product requirements, and support implementations.
• Analyze customer feedback, platform usage, and product metrics to continuously improve the roadmap.
• Work effectively across U.S. and offshore time zones to ensure continuous progress.
• Foster a culture of ownership, urgency, quality, collaboration, and continuous improvement.

Required Qualifications

• 7+ years of experience in Technical Product Management, Product Ownership, Engineering, or Product Delivery.
• Proven success delivering enterprise SaaS products from concept to production.
• Strong hands-on technical background with ability to contribute directly to development, testing, and release validation.
• Experience leading Agile/Scrum software development teams in startup or high-growth environments.
• Experience improving engineering execution, delivery velocity, and release quality.
• Excellent project management, sprint management, stakeholder management, and team coordination skills.
• Strong analytical, organizational, and problem-solving abilities.
• Excellent written and verbal communication skills.
• Ability to work independently with minimal supervision and manage multiple priorities.
• Comfortable working across distributed teams and multiple time zones.
• Bachelor's degree in Computer Science, Engineering, Information Systems, Business, or equivalent practical experience.

Technical Skills

Python, Django, Django REST Framework, PostgreSQL, React, TypeScript, JavaScript, REST APIs, GraphQL, Full-Stack Development, API Integration, AWS, Docker, Kubernetes, Git, GitHub, CI/CD, Linux, System Design, Cloud Architecture, Microservices, SQL, Unit Testing, Integration Testing, Functional Testing, Performance Testing, Debugging, Release Management.

AI / Machine Learning Skills

Large Language Models (LLMs), Custom LLM Development, Fine-Tuning, Retrieval-Augmented Generation (RAG), AI Agents, Agentic Workflows, Prompt Engineering, Embeddings, Vector Databases, Machine Learning, Deep Learning, Neural Networks, Natural Language Processing (NLP), MLOps, Model Evaluation, Predictive Analytics, AWS Bedrock, Hugging Face, LangChain, PyTorch, TensorFlow.

Preferred Experience & Ideal Candidate Profile

We are looking for someone who is highly execution-oriented, technically hands-on, self-motivated, accountable, customer-focused, and comfortable wearing multiple hats in a fast-moving startup environment.

Preferred experience includes enterprise B2B SaaS, cybersecurity, cyber risk, GRC, CTEM, exposure management, vulnerability management, compliance, security operations, enterprise integrations, API-first architectures, multi-tenant SaaS platforms, RBAC, SSO, SAML, OAuth, audit logging, data-intensive applications, analytics platforms, cloud-native architecture, distributed systems, product analytics, and customer usage metrics.

The ideal candidate can lead by example, thrive in ambiguity, work directly with founders and customers, and improve delivery velocity without compromising product quality.

Why Join Quantara AI

• High-impact leadership role in an early-stage enterprise AI company.
• Opportunity to directly influence product, architecture, and delivery.
• Work closely with founders, engineers, and enterprise customers.
• Build cutting-edge AI products in cybersecurity and risk quantification.
• Competitive compensation with equity upside.

Location: Boise, ID or Remote: USA India

Company

Quantara AI is an AI-powered cybersecurity risk-intelligence platform that helps enterprises identify, quantify, prioritize, and manage cyber risks across cloud, on-premises, OT, and SaaS environments. The platform translates technical cyber exposure into financial and operational metrics, delivering tailored insights for Boards, CISOs, CFOs, and Risk Leaders.

Quantara AI enables organizations to focus on the highest-impact exposures, align mitigations with business outcomes, and realize measurable risk reduction and ROI. With unified visibility, continuous compliance, automated reporting, and real-time analytics.

Role Description

This is not a traditional Product Manager role. The Technical Product Manager / Product Delivery Lead is a full-time remote role responsible for driving end-to-end delivery of Quantara AI platform capabilities from concept through launch and iteration. While this role will contribute to product strategy and roadmap planning, the immediate priority is execution, delivery discipline, and hands-on technical contribution.

This role is expected to be approximately 50% product leadership and delivery management, and 50% hands-on technical execution. You will work directly with engineers to develop features where needed, review implementations, validate outcomes from the development team, perform testing, troubleshoot issues, and ensure every release meets enterprise quality standards.

The ideal candidate thrives in a fast-moving startup environment, takes ownership, removes blockers, drives accountability, and works effectively across distributed teams and multiple time zones, including offshore engineering teams.

Key Responsibilities

• Own end-to-end product delivery from concept through release and post-launch iteration.
• Drive sprint planning, backlog management, daily standups, retrospectives, release planning, and Agile execution.
• Serve as Product Owner and Scrum Master when needed.
• Translate customer, business, and technical requirements into clear user stories, acceptance criteria, and technical specifications.
• Drive engineering execution, delivery accountability, and release predictability.
• Work hands-on with the engineering team to develop features, review implementations, troubleshoot technical issues, and validate solutions.
• Perform functional testing, user acceptance testing, integration testing, and release validation.
• Review product quality before production deployment and ensure features meet customer and business expectations.
• Coordinate Engineering, AI/ML, QA, DevOps, UX, Customer Success, and Go-to-Market teams.
• Track delivery milestones, identify risks early, and proactively remove blockers.
• Engage directly with enterprise customers to gather feedback, validate product requirements, and support implementations.
• Analyze customer feedback, platform usage, and product metrics to continuously improve the roadmap.
• Work effectively across U.S. and offshore time zones to ensure continuous progress.
• Foster a culture of ownership, urgency, quality, collaboration, and continuous improvement.

Required Qualifications

• 7+ years of experience in Technical Product Management, Product Ownership, Engineering, or Product Delivery.
• Proven success delivering enterprise SaaS products from concept to production.
• Strong hands-on technical background with ability to contribute directly to development, testing, and release validation.
• Experience leading Agile/Scrum software development teams in startup or high-growth environments.
• Experience improving engineering execution, delivery velocity, and release quality.
• Excellent project management, sprint management, stakeholder management, and team coordination skills.
• Strong analytical, organizational, and problem-solving abilities.
• Excellent written and verbal communication skills.
• Ability to work independently with minimal supervision and manage multiple priorities.
• Comfortable working across distributed teams and multiple time zones.
• Bachelor's degree in Computer Science, Engineering, Information Systems, Business, or equivalent practical experience.

Technical Skills

Python, Django, Django REST Framework, PostgreSQL, React, TypeScript, JavaScript, REST APIs, GraphQL, Full-Stack Development, API Integration, AWS, Docker, Kubernetes, Git, GitHub, CI/CD, Linux, System Design, Cloud Architecture, Microservices, SQL, Unit Testing, Integration Testing, Functional Testing, Performance Testing, Debugging, Release Management.

AI / Machine Learning Skills

Large Language Models (LLMs), Custom LLM Development, Fine-Tuning, Retrieval-Augmented Generation (RAG), AI Agents, Agentic Workflows, Prompt Engineering, Embeddings, Vector Databases, Machine Learning, Deep Learning, Neural Networks, Natural Language Processing (NLP), MLOps, Model Evaluation, Predictive Analytics, AWS Bedrock, Hugging Face, LangChain, PyTorch, TensorFlow.

Preferred Experience & Ideal Candidate Profile

We are looking for someone who is highly execution-oriented, technically hands-on, self-motivated, accountable, customer-focused, and comfortable wearing multiple hats in a fast-moving startup environment.

Preferred experience includes enterprise B2B SaaS, cybersecurity, cyber risk, GRC, CTEM, exposure management, vulnerability management, compliance, security operations, enterprise integrations, API-first architectures, multi-tenant SaaS platforms, RBAC, SSO, SAML, OAuth, audit logging, data-intensive applications, analytics platforms, cloud-native architecture, distributed systems, product analytics, and customer usage metrics.

The ideal candidate can lead by example, thrive in ambiguity, work directly with founders and customers, and improve delivery velocity without compromising product quality.

Why Join Quantara AI

• High-impact leadership role in an early-stage enterprise AI company.
• Opportunity to directly influence product, architecture, and delivery.
• Work closely with founders, engineers, and enterprise customers.
• Build cutting-edge AI products in cybersecurity and risk quantification.
• Competitive compensation with equity upside.

Location: Boise, ID or Remote: USA India

Company

Quantara AI is an AI-powered cybersecurity risk-intelligence platform that helps enterprises identify, quantify, prioritize, and manage cyber risks across cloud, on-premises, OT, and SaaS environments. The platform translates technical cyber exposure into financial and operational metrics, delivering tailored insights for Boards, CISOs, CFOs, and Risk Leaders.

Quantara AI enables organizations to focus on the highest-impact exposures, align mitigations with business outcomes, and realize measurable risk reduction and ROI. With unified visibility, continuous compliance, automated reporting, and real-time analytics.

Role Description

This is not a traditional Product Manager role. The Technical Product Manager / Product Delivery Lead is a full-time remote role responsible for driving end-to-end delivery of Quantara AI platform capabilities from concept through launch and iteration. While this role will contribute to product strategy and roadmap planning, the immediate priority is execution, delivery discipline, and hands-on technical contribution.

This role is expected to be approximately 50% product leadership and delivery management, and 50% hands-on technical execution. You will work directly with engineers to develop features where needed, review implementations, validate outcomes from the development team, perform testing, troubleshoot issues, and ensure every release meets enterprise quality standards.

The ideal candidate thrives in a fast-moving startup environment, takes ownership, removes blockers, drives accountability, and works effectively across distributed teams and multiple time zones, including offshore engineering teams.

Key Responsibilities

• Own end-to-end product delivery from concept through release and post-launch iteration.
• Drive sprint planning, backlog management, daily standups, retrospectives, release planning, and Agile execution.
• Serve as Product Owner and Scrum Master when needed.
• Translate customer, business, and technical requirements into clear user stories, acceptance criteria, and technical specifications.
• Drive engineering execution, delivery accountability, and release predictability.
• Work hands-on with the engineering team to develop features, review implementations, troubleshoot technical issues, and validate solutions.
• Perform functional testing, user acceptance testing, integration testing, and release validation.
• Review product quality before production deployment and ensure features meet customer and business expectations.
• Coordinate Engineering, AI/ML, QA, DevOps, UX, Customer Success, and Go-to-Market teams.
• Track delivery milestones, identify risks early, and proactively remove blockers.
• Engage directly with enterprise customers to gather feedback, validate product requirements, and support implementations.
• Analyze customer feedback, platform usage, and product metrics to continuously improve the roadmap.
• Work effectively across U.S. and offshore time zones to ensure continuous progress.
• Foster a culture of ownership, urgency, quality, collaboration, and continuous improvement.

Required Qualifications

• 7+ years of experience in Technical Product Management, Product Ownership, Engineering, or Product Delivery.
• Proven success delivering enterprise SaaS products from concept to production.
• Strong hands-on technical background with ability to contribute directly to development, testing, and release validation.
• Experience leading Agile/Scrum software development teams in startup or high-growth environments.
• Experience improving engineering execution, delivery velocity, and release quality.
• Excellent project management, sprint management, stakeholder management, and team coordination skills.
• Strong analytical, organizational, and problem-solving abilities.
• Excellent written and verbal communication skills.
• Ability to work independently with minimal supervision and manage multiple priorities.
• Comfortable working across distributed teams and multiple time zones.
• Bachelor's degree in Computer Science, Engineering, Information Systems, Business, or equivalent practical experience.

Technical Skills

Python, Django, Django REST Framework, PostgreSQL, React, TypeScript, JavaScript, REST APIs, GraphQL, Full-Stack Development, API Integration, AWS, Docker, Kubernetes, Git, GitHub, CI/CD, Linux, System Design, Cloud Architecture, Microservices, SQL, Unit Testing, Integration Testing, Functional Testing, Performance Testing, Debugging, Release Management.

AI / Machine Learning Skills

Large Language Models (LLMs), Custom LLM Development, Fine-Tuning, Retrieval-Augmented Generation (RAG), AI Agents, Agentic Workflows, Prompt Engineering, Embeddings, Vector Databases, Machine Learning, Deep Learning, Neural Networks, Natural Language Processing (NLP), MLOps, Model Evaluation, Predictive Analytics, AWS Bedrock, Hugging Face, LangChain, PyTorch, TensorFlow.

Preferred Experience & Ideal Candidate Profile

We are looking for someone who is highly execution-oriented, technically hands-on, self-motivated, accountable, customer-focused, and comfortable wearing multiple hats in a fast-moving startup environment.

Preferred experience includes enterprise B2B SaaS, cybersecurity, cyber risk, GRC, CTEM, exposure management, vulnerability management, compliance, security operations, enterprise integrations, API-first architectures, multi-tenant SaaS platforms, RBAC, SSO, SAML, OAuth, audit logging, data-intensive applications, analytics platforms, cloud-native architecture, distributed systems, product analytics, and customer usage metrics.

The ideal candidate can lead by example, thrive in ambiguity, work directly with founders and customers, and improve delivery velocity without compromising product quality.

Why Join Quantara AI

• High-impact leadership role in an early-stage enterprise AI company.
• Opportunity to directly influence product, architecture, and delivery.
• Work closely with founders, engineers, and enterprise customers.
• Build cutting-edge AI products in cybersecurity and risk quantification.
• Competitive compensation with equity upside.

Location: Boise, ID or Remote: USA India

Company

Quantara AI is an AI-powered cybersecurity risk-intelligence platform that helps enterprises identify, quantify, prioritize, and manage cyber risks across cloud, on-premises, OT, and SaaS environments. The platform translates technical cyber exposure into financial and operational metrics, delivering tailored insights for Boards, CISOs, CFOs, and Risk Leaders.

Quantara AI enables organizations to focus on the highest-impact exposures, align mitigations with business outcomes, and realize measurable risk reduction and ROI. With unified visibility, continuous compliance, automated reporting, and real-time analytics.

Role Description

This is not a traditional Product Manager role. The Technical Product Manager / Product Delivery Lead is a full-time remote role responsible for driving end-to-end delivery of Quantara AI platform capabilities from concept through launch and iteration. While this role will contribute to product strategy and roadmap planning, the immediate priority is execution, delivery discipline, and hands-on technical contribution.

This role is expected to be approximately 50% product leadership and delivery management, and 50% hands-on technical execution. You will work directly with engineers to develop features where needed, review implementations, validate outcomes from the development team, perform testing, troubleshoot issues, and ensure every release meets enterprise quality standards.

The ideal candidate thrives in a fast-moving startup environment, takes ownership, removes blockers, drives accountability, and works effectively across distributed teams and multiple time zones, including offshore engineering teams.

Key Responsibilities

• Own end-to-end product delivery from concept through release and post-launch iteration.
• Drive sprint planning, backlog management, daily standups, retrospectives, release planning, and Agile execution.
• Serve as Product Owner and Scrum Master when needed.
• Translate customer, business, and technical requirements into clear user stories, acceptance criteria, and technical specifications.
• Drive engineering execution, delivery accountability, and release predictability.
• Work hands-on with the engineering team to develop features, review implementations, troubleshoot technical issues, and validate solutions.
• Perform functional testing, user acceptance testing, integration testing, and release validation.
• Review product quality before production deployment and ensure features meet customer and business expectations.
• Coordinate Engineering, AI/ML, QA, DevOps, UX, Customer Success, and Go-to-Market teams.
• Track delivery milestones, identify risks early, and proactively remove blockers.
• Engage directly with enterprise customers to gather feedback, validate product requirements, and support implementations.
• Analyze customer feedback, platform usage, and product metrics to continuously improve the roadmap.
• Work effectively across U.S. and offshore time zones to ensure continuous progress.
• Foster a culture of ownership, urgency, quality, collaboration, and continuous improvement.

Required Qualifications

• 7+ years of experience in Technical Product Management, Product Ownership, Engineering, or Product Delivery.
• Proven success delivering enterprise SaaS products from concept to production.
• Strong hands-on technical background with ability to contribute directly to development, testing, and release validation.
• Experience leading Agile/Scrum software development teams in startup or high-growth environments.
• Experience improving engineering execution, delivery velocity, and release quality.
• Excellent project management, sprint management, stakeholder management, and team coordination skills.
• Strong analytical, organizational, and problem-solving abilities.
• Excellent written and verbal communication skills.
• Ability to work independently with minimal supervision and manage multiple priorities.
• Comfortable working across distributed teams and multiple time zones.
• Bachelor's degree in Computer Science, Engineering, Information Systems, Business, or equivalent practical experience.

Technical Skills

Python, Django, Django REST Framework, PostgreSQL, React, TypeScript, JavaScript, REST APIs, GraphQL, Full-Stack Development, API Integration, AWS, Docker, Kubernetes, Git, GitHub, CI/CD, Linux, System Design, Cloud Architecture, Microservices, SQL, Unit Testing, Integration Testing, Functional Testing, Performance Testing, Debugging, Release Management.

AI / Machine Learning Skills

Large Language Models (LLMs), Custom LLM Development, Fine-Tuning, Retrieval-Augmented Generation (RAG), AI Agents, Agentic Workflows, Prompt Engineering, Embeddings, Vector Databases, Machine Learning, Deep Learning, Neural Networks, Natural Language Processing (NLP), MLOps, Model Evaluation, Predictive Analytics, AWS Bedrock, Hugging Face, LangChain, PyTorch, TensorFlow.

Preferred Experience & Ideal Candidate Profile

We are looking for someone who is highly execution-oriented, technically hands-on, self-motivated, accountable, customer-focused, and comfortable wearing multiple hats in a fast-moving startup environment.

Preferred experience includes enterprise B2B SaaS, cybersecurity, cyber risk, GRC, CTEM, exposure management, vulnerability management, compliance, security operations, enterprise integrations, API-first architectures, multi-tenant SaaS platforms, RBAC, SSO, SAML, OAuth, audit logging, data-intensive applications, analytics platforms, cloud-native architecture, distributed systems, product analytics, and customer usage metrics.

The ideal candidate can lead by example, thrive in ambiguity, work directly with founders and customers, and improve delivery velocity without compromising product quality.

Why Join Quantara AI

• High-impact leadership role in an early-stage enterprise AI company.
• Opportunity to directly influence product, architecture, and delivery.
• Work closely with founders, engineers, and enterprise customers.
• Build cutting-edge AI products in cybersecurity and risk quantification.
• Competitive compensation with equity upside.

Location: Boise, ID or Remote: USA India

Company

Quantara AI is an AI-powered cybersecurity risk-intelligence platform that helps enterprises identify, quantify, prioritize, and manage cyber risks across cloud, on-premises, OT, and SaaS environments. The platform translates technical cyber exposure into financial and operational metrics, delivering tailored insights for Boards, CISOs, CFOs, and Risk Leaders.

Quantara AI enables organizations to focus on the highest-impact exposures, align mitigations with business outcomes, and realize measurable risk reduction and ROI. With unified visibility, continuous compliance, automated reporting, and real-time analytics.

Role Description

This is not a traditional Product Manager role. The Technical Product Manager / Product Delivery Lead is a full-time remote role responsible for driving end-to-end delivery of Quantara AI platform capabilities from concept through launch and iteration. While this role will contribute to product strategy and roadmap planning, the immediate priority is execution, delivery discipline, and hands-on technical contribution.

This role is expected to be approximately 50% product leadership and delivery management, and 50% hands-on technical execution. You will work directly with engineers to develop features where needed, review implementations, validate outcomes from the development team, perform testing, troubleshoot issues, and ensure every release meets enterprise quality standards.

The ideal candidate thrives in a fast-moving startup environment, takes ownership, removes blockers, drives accountability, and works effectively across distributed teams and multiple time zones, including offshore engineering teams.

Key Responsibilities

• Own end-to-end product delivery from concept through release and post-launch iteration.
• Drive sprint planning, backlog management, daily standups, retrospectives, release planning, and Agile execution.
• Serve as Product Owner and Scrum Master when needed.
• Translate customer, business, and technical requirements into clear user stories, acceptance criteria, and technical specifications.
• Drive engineering execution, delivery accountability, and release predictability.
• Work hands-on with the engineering team to develop features, review implementations, troubleshoot technical issues, and validate solutions.
• Perform functional testing, user acceptance testing, integration testing, and release validation.
• Review product quality before production deployment and ensure features meet customer and business expectations.
• Coordinate Engineering, AI/ML, QA, DevOps, UX, Customer Success, and Go-to-Market teams.
• Track delivery milestones, identify risks early, and proactively remove blockers.
• Engage directly with enterprise customers to gather feedback, validate product requirements, and support implementations.
• Analyze customer feedback, platform usage, and product metrics to continuously improve the roadmap.
• Work effectively across U.S. and offshore time zones to ensure continuous progress.
• Foster a culture of ownership, urgency, quality, collaboration, and continuous improvement.

Required Qualifications

• 7+ years of experience in Technical Product Management, Product Ownership, Engineering, or Product Delivery.
• Proven success delivering enterprise SaaS products from concept to production.
• Strong hands-on technical background with ability to contribute directly to development, testing, and release validation.
• Experience leading Agile/Scrum software development teams in startup or high-growth environments.
• Experience improving engineering execution, delivery velocity, and release quality.
• Excellent project management, sprint management, stakeholder management, and team coordination skills.
• Strong analytical, organizational, and problem-solving abilities.
• Excellent written and verbal communication skills.
• Ability to work independently with minimal supervision and manage multiple priorities.
• Comfortable working across distributed teams and multiple time zones.
• Bachelor's degree in Computer Science, Engineering, Information Systems, Business, or equivalent practical experience.

Technical Skills

Python, Django, Django REST Framework, PostgreSQL, React, TypeScript, JavaScript, REST APIs, GraphQL, Full-Stack Development, API Integration, AWS, Docker, Kubernetes, Git, GitHub, CI/CD, Linux, System Design, Cloud Architecture, Microservices, SQL, Unit Testing, Integration Testing, Functional Testing, Performance Testing, Debugging, Release Management.

AI / Machine Learning Skills

Large Language Models (LLMs), Custom LLM Development, Fine-Tuning, Retrieval-Augmented Generation (RAG), AI Agents, Agentic Workflows, Prompt Engineering, Embeddings, Vector Databases, Machine Learning, Deep Learning, Neural Networks, Natural Language Processing (NLP), MLOps, Model Evaluation, Predictive Analytics, AWS Bedrock, Hugging Face, LangChain, PyTorch, TensorFlow.

Preferred Experience & Ideal Candidate Profile

We are looking for someone who is highly execution-oriented, technically hands-on, self-motivated, accountable, customer-focused, and comfortable wearing multiple hats in a fast-moving startup environment.

Preferred experience includes enterprise B2B SaaS, cybersecurity, cyber risk, GRC, CTEM, exposure management, vulnerability management, compliance, security operations, enterprise integrations, API-first architectures, multi-tenant SaaS platforms, RBAC, SSO, SAML, OAuth, audit logging, data-intensive applications, analytics platforms, cloud-native architecture, distributed systems, product analytics, and customer usage metrics.

The ideal candidate can lead by example, thrive in ambiguity, work directly with founders and customers, and improve delivery velocity without compromising product quality.

Why Join Quantara AI

• High-impact leadership role in an early-stage enterprise AI company.
• Opportunity to directly influence product, architecture, and delivery.
• Work closely with founders, engineers, and enterprise customers.
• Build cutting-edge AI products in cybersecurity and risk quantification.
• Competitive compensation with equity upside.

Location: Boise, ID or Remote: USA India

Company

Quantara AI is an AI-powered cybersecurity risk-intelligence platform that helps enterprises identify, quantify, prioritize, and manage cyber risks across cloud, on-premises, OT, and SaaS environments. The platform translates technical cyber exposure into financial and operational metrics, delivering tailored insights for Boards, CISOs, CFOs, and Risk Leaders.

Quantara AI enables organizations to focus on the highest-impact exposures, align mitigations with business outcomes, and realize measurable risk reduction and ROI. With unified visibility, continuous compliance, automated reporting, and real-time analytics.

Role Description

This is not a traditional Product Manager role. The Technical Product Manager / Product Delivery Lead is a full-time remote role responsible for driving end-to-end delivery of Quantara AI platform capabilities from concept through launch and iteration. While this role will contribute to product strategy and roadmap planning, the immediate priority is execution, delivery discipline, and hands-on technical contribution.

This role is expected to be approximately 50% product leadership and delivery management, and 50% hands-on technical execution. You will work directly with engineers to develop features where needed, review implementations, validate outcomes from the development team, perform testing, troubleshoot issues, and ensure every release meets enterprise quality standards.

The ideal candidate thrives in a fast-moving startup environment, takes ownership, removes blockers, drives accountability, and works effectively across distributed teams and multiple time zones, including offshore engineering teams.

Key Responsibilities

• Own end-to-end product delivery from concept through release and post-launch iteration.
• Drive sprint planning, backlog management, daily standups, retrospectives, release planning, and Agile execution.
• Serve as Product Owner and Scrum Master when needed.
• Translate customer, business, and technical requirements into clear user stories, acceptance criteria, and technical specifications.
• Drive engineering execution, delivery accountability, and release predictability.
• Work hands-on with the engineering team to develop features, review implementations, troubleshoot technical issues, and validate solutions.
• Perform functional testing, user acceptance testing, integration testing, and release validation.
• Review product quality before production deployment and ensure features meet customer and business expectations.
• Coordinate Engineering, AI/ML, QA, DevOps, UX, Customer Success, and Go-to-Market teams.
• Track delivery milestones, identify risks early, and proactively remove blockers.
• Engage directly with enterprise customers to gather feedback, validate product requirements, and support implementations.
• Analyze customer feedback, platform usage, and product metrics to continuously improve the roadmap.
• Work effectively across U.S. and offshore time zones to ensure continuous progress.
• Foster a culture of ownership, urgency, quality, collaboration, and continuous improvement.

Required Qualifications

• 7+ years of experience in Technical Product Management, Product Ownership, Engineering, or Product Delivery.
• Proven success delivering enterprise SaaS products from concept to production.
• Strong hands-on technical background with ability to contribute directly to development, testing, and release validation.
• Experience leading Agile/Scrum software development teams in startup or high-growth environments.
• Experience improving engineering execution, delivery velocity, and release quality.
• Excellent project management, sprint management, stakeholder management, and team coordination skills.
• Strong analytical, organizational, and problem-solving abilities.
• Excellent written and verbal communication skills.
• Ability to work independently with minimal supervision and manage multiple priorities.
• Comfortable working across distributed teams and multiple time zones.
• Bachelor's degree in Computer Science, Engineering, Information Systems, Business, or equivalent practical experience.

Technical Skills

Python, Django, Django REST Framework, PostgreSQL, React, TypeScript, JavaScript, REST APIs, GraphQL, Full-Stack Development, API Integration, AWS, Docker, Kubernetes, Git, GitHub, CI/CD, Linux, System Design, Cloud Architecture, Microservices, SQL, Unit Testing, Integration Testing, Functional Testing, Performance Testing, Debugging, Release Management.

AI / Machine Learning Skills

Large Language Models (LLMs), Custom LLM Development, Fine-Tuning, Retrieval-Augmented Generation (RAG), AI Agents, Agentic Workflows, Prompt Engineering, Embeddings, Vector Databases, Machine Learning, Deep Learning, Neural Networks, Natural Language Processing (NLP), MLOps, Model Evaluation, Predictive Analytics, AWS Bedrock, Hugging Face, LangChain, PyTorch, TensorFlow.

Preferred Experience & Ideal Candidate Profile

We are looking for someone who is highly execution-oriented, technically hands-on, self-motivated, accountable, customer-focused, and comfortable wearing multiple hats in a fast-moving startup environment.

Preferred experience includes enterprise B2B SaaS, cybersecurity, cyber risk, GRC, CTEM, exposure management, vulnerability management, compliance, security operations, enterprise integrations, API-first architectures, multi-tenant SaaS platforms, RBAC, SSO, SAML, OAuth, audit logging, data-intensive applications, analytics platforms, cloud-native architecture, distributed systems, product analytics, and customer usage metrics.

The ideal candidate can lead by example, thrive in ambiguity, work directly with founders and customers, and improve delivery velocity without compromising product quality.

Why Join Quantara AI

• High-impact leadership role in an early-stage enterprise AI company.
• Opportunity to directly influence product, architecture, and delivery.
• Work closely with founders, engineers, and enterprise customers.
• Build cutting-edge AI products in cybersecurity and risk quantification.
• Competitive compensation with equity upside.

Location: Boise, ID or Remote: USA India

Company

Quantara AI is an AI-powered cybersecurity risk-intelligence platform that helps enterprises identify, quantify, prioritize, and manage cyber risks across cloud, on-premises, OT, and SaaS environments. The platform translates technical cyber exposure into financial and operational metrics, delivering tailored insights for Boards, CISOs, CFOs, and Risk Leaders.

Quantara AI enables organizations to focus on the highest-impact exposures, align mitigations with business outcomes, and realize measurable risk reduction and ROI. With unified visibility, continuous compliance, automated reporting, and real-time analytics.

Role Description

This is not a traditional Product Manager role. The Technical Product Manager / Product Delivery Lead is a full-time remote role responsible for driving end-to-end delivery of Quantara AI platform capabilities from concept through launch and iteration. While this role will contribute to product strategy and roadmap planning, the immediate priority is execution, delivery discipline, and hands-on technical contribution.

This role is expected to be approximately 50% product leadership and delivery management, and 50% hands-on technical execution. You will work directly with engineers to develop features where needed, review implementations, validate outcomes from the development team, perform testing, troubleshoot issues, and ensure every release meets enterprise quality standards.

The ideal candidate thrives in a fast-moving startup environment, takes ownership, removes blockers, drives accountability, and works effectively across distributed teams and multiple time zones, including offshore engineering teams.

Key Responsibilities

• Own end-to-end product delivery from concept through release and post-launch iteration.
• Drive sprint planning, backlog management, daily standups, retrospectives, release planning, and Agile execution.
• Serve as Product Owner and Scrum Master when needed.
• Translate customer, business, and technical requirements into clear user stories, acceptance criteria, and technical specifications.
• Drive engineering execution, delivery accountability, and release predictability.
• Work hands-on with the engineering team to develop features, review implementations, troubleshoot technical issues, and validate solutions.
• Perform functional testing, user acceptance testing, integration testing, and release validation.
• Review product quality before production deployment and ensure features meet customer and business expectations.
• Coordinate Engineering, AI/ML, QA, DevOps, UX, Customer Success, and Go-to-Market teams.
• Track delivery milestones, identify risks early, and proactively remove blockers.
• Engage directly with enterprise customers to gather feedback, validate product requirements, and support implementations.
• Analyze customer feedback, platform usage, and product metrics to continuously improve the roadmap.
• Work effectively across U.S. and offshore time zones to ensure continuous progress.
• Foster a culture of ownership, urgency, quality, collaboration, and continuous improvement.

Required Qualifications

• 7+ years of experience in Technical Product Management, Product Ownership, Engineering, or Product Delivery.
• Proven success delivering enterprise SaaS products from concept to production.
• Strong hands-on technical background with ability to contribute directly to development, testing, and release validation.
• Experience leading Agile/Scrum software development teams in startup or high-growth environments.
• Experience improving engineering execution, delivery velocity, and release quality.
• Excellent project management, sprint management, stakeholder management, and team coordination skills.
• Strong analytical, organizational, and problem-solving abilities.
• Excellent written and verbal communication skills.
• Ability to work independently with minimal supervision and manage multiple priorities.
• Comfortable working across distributed teams and multiple time zones.
• Bachelor's degree in Computer Science, Engineering, Information Systems, Business, or equivalent practical experience.

Technical Skills

Python, Django, Django REST Framework, PostgreSQL, React, TypeScript, JavaScript, REST APIs, GraphQL, Full-Stack Development, API Integration, AWS, Docker, Kubernetes, Git, GitHub, CI/CD, Linux, System Design, Cloud Architecture, Microservices, SQL, Unit Testing, Integration Testing, Functional Testing, Performance Testing, Debugging, Release Management.

AI / Machine Learning Skills

Large Language Models (LLMs), Custom LLM Development, Fine-Tuning, Retrieval-Augmented Generation (RAG), AI Agents, Agentic Workflows, Prompt Engineering, Embeddings, Vector Databases, Machine Learning, Deep Learning, Neural Networks, Natural Language Processing (NLP), MLOps, Model Evaluation, Predictive Analytics, AWS Bedrock, Hugging Face, LangChain, PyTorch, TensorFlow.

Preferred Experience & Ideal Candidate Profile

We are looking for someone who is highly execution-oriented, technically hands-on, self-motivated, accountable, customer-focused, and comfortable wearing multiple hats in a fast-moving startup environment.

Preferred experience includes enterprise B2B SaaS, cybersecurity, cyber risk, GRC, CTEM, exposure management, vulnerability management, compliance, security operations, enterprise integrations, API-first architectures, multi-tenant SaaS platforms, RBAC, SSO, SAML, OAuth, audit logging, data-intensive applications, analytics platforms, cloud-native architecture, distributed systems, product analytics, and customer usage metrics.

The ideal candidate can lead by example, thrive in ambiguity, work directly with founders and customers, and improve delivery velocity without compromising product quality.

Why Join Quantara AI

• High-impact leadership role in an early-stage enterprise AI company.
• Opportunity to directly influence product, architecture, and delivery.
• Work closely with founders, engineers, and enterprise customers.
• Build cutting-edge AI products in cybersecurity and risk quantification.
• Competitive compensation with equity upside.

Location: Boise, ID or Remote: USA India

Company

Quantara AI is an AI-powered cybersecurity risk-intelligence platform that helps enterprises identify, quantify, prioritize, and manage cyber risks across cloud, on-premises, OT, and SaaS environments. The platform translates technical cyber exposure into financial and operational metrics, delivering tailored insights for Boards, CISOs, CFOs, and Risk Leaders.

Quantara AI enables organizations to focus on the highest-impact exposures, align mitigations with business outcomes, and realize measurable risk reduction and ROI. With unified visibility, continuous compliance, automated reporting, and real-time analytics.

Role Description

This is not a traditional Product Manager role. The Technical Product Manager / Product Delivery Lead is a full-time remote role responsible for driving end-to-end delivery of Quantara AI platform capabilities from concept through launch and iteration. While this role will contribute to product strategy and roadmap planning, the immediate priority is execution, delivery discipline, and hands-on technical contribution.

This role is expected to be approximately 50% product leadership and delivery management, and 50% hands-on technical execution. You will work directly with engineers to develop features where needed, review implementations, validate outcomes from the development team, perform testing, troubleshoot issues, and ensure every release meets enterprise quality standards.

The ideal candidate thrives in a fast-moving startup environment, takes ownership, removes blockers, drives accountability, and works effectively across distributed teams and multiple time zones, including offshore engineering teams.

Key Responsibilities

• Own end-to-end product delivery from concept through release and post-launch iteration.
• Drive sprint planning, backlog management, daily standups, retrospectives, release planning, and Agile execution.
• Serve as Product Owner and Scrum Master when needed.
• Translate customer, business, and technical requirements into clear user stories, acceptance criteria, and technical specifications.
• Drive engineering execution, delivery accountability, and release predictability.
• Work hands-on with the engineering team to develop features, review implementations, troubleshoot technical issues, and validate solutions.
• Perform functional testing, user acceptance testing, integration testing, and release validation.
• Review product quality before production deployment and ensure features meet customer and business expectations.
• Coordinate Engineering, AI/ML, QA, DevOps, UX, Customer Success, and Go-to-Market teams.
• Track delivery milestones, identify risks early, and proactively remove blockers.
• Engage directly with enterprise customers to gather feedback, validate product requirements, and support implementations.
• Analyze customer feedback, platform usage, and product metrics to continuously improve the roadmap.
• Work effectively across U.S. and offshore time zones to ensure continuous progress.
• Foster a culture of ownership, urgency, quality, collaboration, and continuous improvement.

Required Qualifications

• 7+ years of experience in Technical Product Management, Product Ownership, Engineering, or Product Delivery.
• Proven success delivering enterprise SaaS products from concept to production.
• Strong hands-on technical background with ability to contribute directly to development, testing, and release validation.
• Experience leading Agile/Scrum software development teams in startup or high-growth environments.
• Experience improving engineering execution, delivery velocity, and release quality.
• Excellent project management, sprint management, stakeholder management, and team coordination skills.
• Strong analytical, organizational, and problem-solving abilities.
• Excellent written and verbal communication skills.
• Ability to work independently with minimal supervision and manage multiple priorities.
• Comfortable working across distributed teams and multiple time zones.
• Bachelor's degree in Computer Science, Engineering, Information Systems, Business, or equivalent practical experience.

Technical Skills

Python, Django, Django REST Framework, PostgreSQL, React, TypeScript, JavaScript, REST APIs, GraphQL, Full-Stack Development, API Integration, AWS, Docker, Kubernetes, Git, GitHub, CI/CD, Linux, System Design, Cloud Architecture, Microservices, SQL, Unit Testing, Integration Testing, Functional Testing, Performance Testing, Debugging, Release Management.

AI / Machine Learning Skills

Large Language Models (LLMs), Custom LLM Development, Fine-Tuning, Retrieval-Augmented Generation (RAG), AI Agents, Agentic Workflows, Prompt Engineering, Embeddings, Vector Databases, Machine Learning, Deep Learning, Neural Networks, Natural Language Processing (NLP), MLOps, Model Evaluation, Predictive Analytics, AWS Bedrock, Hugging Face, LangChain, PyTorch, TensorFlow.

Preferred Experience & Ideal Candidate Profile

We are looking for someone who is highly execution-oriented, technically hands-on, self-motivated, accountable, customer-focused, and comfortable wearing multiple hats in a fast-moving startup environment.

Preferred experience includes enterprise B2B SaaS, cybersecurity, cyber risk, GRC, CTEM, exposure management, vulnerability management, compliance, security operations, enterprise integrations, API-first architectures, multi-tenant SaaS platforms, RBAC, SSO, SAML, OAuth, audit logging, data-intensive applications, analytics platforms, cloud-native architecture, distributed systems, product analytics, and customer usage metrics.

The ideal candidate can lead by example, thrive in ambiguity, work directly with founders and customers, and improve delivery velocity without compromising product quality.

Why Join Quantara AI

• High-impact leadership role in an early-stage enterprise AI company.
• Opportunity to directly influence product, architecture, and delivery.
• Work closely with founders, engineers, and enterprise customers.
• Build cutting-edge AI products in cybersecurity and risk quantification.
• Competitive compensation with equity upside.

Location: Boise, ID or Remote: USA India

Company

Quantara AI is an AI-powered cybersecurity risk-intelligence platform that helps enterprises identify, quantify, prioritize, and manage cyber risks across cloud, on-premises, OT, and SaaS environments. The platform translates technical cyber exposure into financial and operational metrics, delivering tailored insights for Boards, CISOs, CFOs, and Risk Leaders.

Quantara AI enables organizations to focus on the highest-impact exposures, align mitigations with business outcomes, and realize measurable risk reduction and ROI. With unified visibility, continuous compliance, automated reporting, and real-time analytics.

Role Description

This is not a traditional Product Manager role. The Technical Product Manager / Product Delivery Lead is a full-time remote role responsible for driving end-to-end delivery of Quantara AI platform capabilities from concept through launch and iteration. While this role will contribute to product strategy and roadmap planning, the immediate priority is execution, delivery discipline, and hands-on technical contribution.

This role is expected to be approximately 50% product leadership and delivery management, and 50% hands-on technical execution. You will work directly with engineers to develop features where needed, review implementations, validate outcomes from the development team, perform testing, troubleshoot issues, and ensure every release meets enterprise quality standards.

The ideal candidate thrives in a fast-moving startup environment, takes ownership, removes blockers, drives accountability, and works effectively across distributed teams and multiple time zones, including offshore engineering teams.

Key Responsibilities

• Own end-to-end product delivery from concept through release and post-launch iteration.
• Drive sprint planning, backlog management, daily standups, retrospectives, release planning, and Agile execution.
• Serve as Product Owner and Scrum Master when needed.
• Translate customer, business, and technical requirements into clear user stories, acceptance criteria, and technical specifications.
• Drive engineering execution, delivery accountability, and release predictability.
• Work hands-on with the engineering team to develop features, review implementations, troubleshoot technical issues, and validate solutions.
• Perform functional testing, user acceptance testing, integration testing, and release validation.
• Review product quality before production deployment and ensure features meet customer and business expectations.
• Coordinate Engineering, AI/ML, QA, DevOps, UX, Customer Success, and Go-to-Market teams.
• Track delivery milestones, identify risks early, and proactively remove blockers.
• Engage directly with enterprise customers to gather feedback, validate product requirements, and support implementations.
• Analyze customer feedback, platform usage, and product metrics to continuously improve the roadmap.
• Work effectively across U.S. and offshore time zones to ensure continuous progress.
• Foster a culture of ownership, urgency, quality, collaboration, and continuous improvement.

Required Qualifications

• 7+ years of experience in Technical Product Management, Product Ownership, Engineering, or Product Delivery.
• Proven success delivering enterprise SaaS products from concept to production.
• Strong hands-on technical background with ability to contribute directly to development, testing, and release validation.
• Experience leading Agile/Scrum software development teams in startup or high-growth environments.
• Experience improving engineering execution, delivery velocity, and release quality.
• Excellent project management, sprint management, stakeholder management, and team coordination skills.
• Strong analytical, organizational, and problem-solving abilities.
• Excellent written and verbal communication skills.
• Ability to work independently with minimal supervision and manage multiple priorities.
• Comfortable working across distributed teams and multiple time zones.
• Bachelor's degree in Computer Science, Engineering, Information Systems, Business, or equivalent practical experience.

Technical Skills

Python, Django, Django REST Framework, PostgreSQL, React, TypeScript, JavaScript, REST APIs, GraphQL, Full-Stack Development, API Integration, AWS, Docker, Kubernetes, Git, GitHub, CI/CD, Linux, System Design, Cloud Architecture, Microservices, SQL, Unit Testing, Integration Testing, Functional Testing, Performance Testing, Debugging, Release Management.

AI / Machine Learning Skills

Large Language Models (LLMs), Custom LLM Development, Fine-Tuning, Retrieval-Augmented Generation (RAG), AI Agents, Agentic Workflows, Prompt Engineering, Embeddings, Vector Databases, Machine Learning, Deep Learning, Neural Networks, Natural Language Processing (NLP), MLOps, Model Evaluation, Predictive Analytics, AWS Bedrock, Hugging Face, LangChain, PyTorch, TensorFlow.

Preferred Experience & Ideal Candidate Profile

We are looking for someone who is highly execution-oriented, technically hands-on, self-motivated, accountable, customer-focused, and comfortable wearing multiple hats in a fast-moving startup environment.

Preferred experience includes enterprise B2B SaaS, cybersecurity, cyber risk, GRC, CTEM, exposure management, vulnerability management, compliance, security operations, enterprise integrations, API-first architectures, multi-tenant SaaS platforms, RBAC, SSO, SAML, OAuth, audit logging, data-intensive applications, analytics platforms, cloud-native architecture, distributed systems, product analytics, and customer usage metrics.

The ideal candidate can lead by example, thrive in ambiguity, work directly with founders and customers, and improve delivery velocity without compromising product quality.

Why Join Quantara AI

• High-impact leadership role in an early-stage enterprise AI company.
• Opportunity to directly influence product, architecture, and delivery.
• Work closely with founders, engineers, and enterprise customers.
• Build cutting-edge AI products in cybersecurity and risk quantification.
• Competitive compensation with equity upside.

Location: Boise, ID or Remote: USA India

Company

Quantara AI is an AI-powered cybersecurity risk-intelligence platform that helps enterprises identify, quantify, prioritize, and manage cyber risks across cloud, on-premises, OT, and SaaS environments. The platform translates technical cyber exposure into financial and operational metrics, delivering tailored insights for Boards, CISOs, CFOs, and Risk Leaders.

Quantara AI enables organizations to focus on the highest-impact exposures, align mitigations with business outcomes, and realize measurable risk reduction and ROI. With unified visibility, continuous compliance, automated reporting, and real-time analytics.

Role Description

This is not a traditional Product Manager role. The Technical Product Manager / Product Delivery Lead is a full-time remote role responsible for driving end-to-end delivery of Quantara AI platform capabilities from concept through launch and iteration. While this role will contribute to product strategy and roadmap planning, the immediate priority is execution, delivery discipline, and hands-on technical contribution.

This role is expected to be approximately 50% product leadership and delivery management, and 50% hands-on technical execution. You will work directly with engineers to develop features where needed, review implementations, validate outcomes from the development team, perform testing, troubleshoot issues, and ensure every release meets enterprise quality standards.

The ideal candidate thrives in a fast-moving startup environment, takes ownership, removes blockers, drives accountability, and works effectively across distributed teams and multiple time zones, including offshore engineering teams.

Key Responsibilities

• Own end-to-end product delivery from concept through release and post-launch iteration.
• Drive sprint planning, backlog management, daily standups, retrospectives, release planning, and Agile execution.
• Serve as Product Owner and Scrum Master when needed.
• Translate customer, business, and technical requirements into clear user stories, acceptance criteria, and technical specifications.
• Drive engineering execution, delivery accountability, and release predictability.
• Work hands-on with the engineering team to develop features, review implementations, troubleshoot technical issues, and validate solutions.
• Perform functional testing, user acceptance testing, integration testing, and release validation.
• Review product quality before production deployment and ensure features meet customer and business expectations.
• Coordinate Engineering, AI/ML, QA, DevOps, UX, Customer Success, and Go-to-Market teams.
• Track delivery milestones, identify risks early, and proactively remove blockers.
• Engage directly with enterprise customers to gather feedback, validate product requirements, and support implementations.
• Analyze customer feedback, platform usage, and product metrics to continuously improve the roadmap.
• Work effectively across U.S. and offshore time zones to ensure continuous progress.
• Foster a culture of ownership, urgency, quality, collaboration, and continuous improvement.

Required Qualifications

• 7+ years of experience in Technical Product Management, Product Ownership, Engineering, or Product Delivery.
• Proven success delivering enterprise SaaS products from concept to production.
• Strong hands-on technical background with ability to contribute directly to development, testing, and release validation.
• Experience leading Agile/Scrum software development teams in startup or high-growth environments.
• Experience improving engineering execution, delivery velocity, and release quality.
• Excellent project management, sprint management, stakeholder management, and team coordination skills.
• Strong analytical, organizational, and problem-solving abilities.
• Excellent written and verbal communication skills.
• Ability to work independently with minimal supervision and manage multiple priorities.
• Comfortable working across distributed teams and multiple time zones.
• Bachelor's degree in Computer Science, Engineering, Information Systems, Business, or equivalent practical experience.

Technical Skills

Python, Django, Django REST Framework, PostgreSQL, React, TypeScript, JavaScript, REST APIs, GraphQL, Full-Stack Development, API Integration, AWS, Docker, Kubernetes, Git, GitHub, CI/CD, Linux, System Design, Cloud Architecture, Microservices, SQL, Unit Testing, Integration Testing, Functional Testing, Performance Testing, Debugging, Release Management.

AI / Machine Learning Skills

Large Language Models (LLMs), Custom LLM Development, Fine-Tuning, Retrieval-Augmented Generation (RAG), AI Agents, Agentic Workflows, Prompt Engineering, Embeddings, Vector Databases, Machine Learning, Deep Learning, Neural Networks, Natural Language Processing (NLP), MLOps, Model Evaluation, Predictive Analytics, AWS Bedrock, Hugging Face, LangChain, PyTorch, TensorFlow.

Preferred Experience & Ideal Candidate Profile

We are looking for someone who is highly execution-oriented, technically hands-on, self-motivated, accountable, customer-focused, and comfortable wearing multiple hats in a fast-moving startup environment.

Preferred experience includes enterprise B2B SaaS, cybersecurity, cyber risk, GRC, CTEM, exposure management, vulnerability management, compliance, security operations, enterprise integrations, API-first architectures, multi-tenant SaaS platforms, RBAC, SSO, SAML, OAuth, audit logging, data-intensive applications, analytics platforms, cloud-native architecture, distributed systems, product analytics, and customer usage metrics.

The ideal candidate can lead by example, thrive in ambiguity, work directly with founders and customers, and improve delivery velocity without compromising product quality.

Why Join Quantara AI

• High-impact leadership role in an early-stage enterprise AI company.
• Opportunity to directly influence product, architecture, and delivery.
• Work closely with founders, engineers, and enterprise customers.
• Build cutting-edge AI products in cybersecurity and risk quantification.
• Competitive compensation with equity upside.

A bout Interactly.ai

Interactly.ai is transforming healthcare operations with AI-powered automation across scheduling, lab follow-ups, eligibility checks, prior authorization, and insurance verification. Our multimodal AI agents work across voice, email, chat, fax, and EHR integrations improving patient access, reducing staff burden, and accelerating care delivery.

We serve 2,000+ physicians and healthcare providers, delivering measurable outcomes, 20–30% fewer no-shows and thousands of staff hours saved. Now, we're scaling our AI platform and we want you to help lead that charge.

Role Overview

Own product strategy and roadmap for AI-powered healthcare products. Balance user needs, clinical realities, and AI capabilities. Drive product from discovery to launch, working across engineering, design, and clinical stakeholders.

Key Responsibilities

Product Strategy & Roadmap

• Define and drive product vision, strategy, and roadmap for AI healthcare products
• Own conversational AI and Voice AI product experiences across patient touchpoints
• Translate customer, clinical, and market needs into well-scoped product requirements

Discovery & Delivery

• Lead discovery, validation, and prioritization grounded in data and research
• Partner with engineering and design on high-impact, user-centric features
• Drive

Role Purpose

Owns the end-to-end mutual fund experience on both mobile app and website from discovery and first SIP to long-term portfolio growth and exits. This role is responsible for turning mutual funds into a flagship wealth product for the platform, with a clean, trustworthy, and habit-forming experience across every user journey.

Key Ownership Areas

The Product Manager – Mutual Funds will directly own the following product surfaces and journeys

across mobile app and web:

• Discovery & Research — Fund discovery, categorisation, ratings, comparisons, curated collections, and New Fund Offers (NFOs)

• Transaction Journeys — Lump-sum, SIP setup, SIP modifications, step-up SIP, STP, SWP, switch, and redemption flows

• Onboarding & Mandates — MF-specific KYC, FATCA declaration, nominee registration, and bank mandate / e-NACH setup

• Goals & Portfolios — Goal-based investing, recommended baskets, and model portfolios for long- term wealth creation

• Holdings & Reporting — MF holdings, XIRR, absolute and category-relative returns, capital-gains statements, and tax-loss harvesting insights

• Partner Integrations — RTA integrations with CAMS and KFintech, exchange MF platforms (BSE

StAR MF / NSE MFSS), and AMFI data feeds

Core Responsibilities:

Cross-Platform Product Ownership

• Own the MF roadmap across mobile (i

Location: Boise, ID or Remote: USA | India

Company

Quantara AI is an AI-powered cybersecurity risk-intelligence platform that helps enterprises identify, quantify, prioritize, and manage cyber risks across cloud, on-premises, OT, and SaaS environments. The platform translates technical cyber exposure into financial and operational metrics, delivering tailored insights for Boards, CISOs, CFOs, and Risk Leaders.

Quantara AI enables organizations to focus on the highest-impact exposures, align mitigations with business outcomes, and realize measurable risk reduction and ROI. With unified visibility, continuous compliance, automated reporting, and real-time analytics.

Role Description

This is not a traditional Product Manager role. The Technical Product Manager / Product Delivery Lead is a full-time remote role responsible for driving end-to-end delivery of Quantara AI platform capabilities from concept through launch and iteration. While this role will contribute to product strategy and roadmap planning, the immediate priority is execution, delivery discipline, and hands-on technical contribution.

This role is expected to be approximately 50% product leadership and delivery management, and 50% hands-on technical execution. You will work directly with engineers to develop features where needed, review implementations, validate outcomes from the development team, perform testing, troubleshoot issues, and ensure every

Location: Delhi NCR | Experience: 4–8 years | Comp: ₹17–30 LPA + ESOPs

About Inspektlabs

Inspektlabs is a fast-growing AI company transforming vehicle inspections using computer vision. Backed by Barclays, Techstars, Better Capital, and Titan Capital, we’ve powered 10M+ inspections across 50+ global enterprises.

We’re building AI products from India for the world, with teams across the US and Europe.

Why this role matters

At Inspektlabs, we’re building AI systems that are transforming how vehicle inspections are done globally—across insurance, leasing, and automotive companies.

As an AI Product Manager, you won’t just improve UX flows you’ll work at the intersection of AI models, real-world user behaviour, and product experience. Your work will directly influence how AI performs in the real world by improving the quality of inputs, user journeys, and system outcomes.

If you enjoy solving complex, messy problems where product decisions directly impact AI performance, this role will be a strong fit.

What you’ll own

• The end-to-end customer journey across onboarding, image/video capture, upload, and inspection success
• Core metrics like activation, inspection success rate, AI accuracy (via better inputs), conversion, and retention
• Improving how users interact with AI-driven inspection workflows

T

Job Description

Sowar Medical is looking for a dynamic and experienced Product Manager for Veterinary Diagnostic Products and Medical Devices. The candidate will act as a central point of contact for product, marketing, sales support, technical discussions, and customer engagement activities related to the assigned veterinary product portfolio.

↪️The role requires a strong combination of veterinary clinical understanding, product management capability, communication skills, business development support, and customer-facing confidence.

↪️ The ideal candidate should be able to manage product lifecycle activities, support sales growth, coordinate with internal teams, handle customer requirements, and contribute to strategic product positioning in the veterinary diagnostics market.

↪️Sowar Medical is looking for an experienced and knowledgeable Product Manager for Veterinary Diagnostic Products. The candidate should have strong clinical as well as technical understanding of veterinary diagnostics, laboratory workflow, and veterinary medical devices. The role involves product handling, technical support, training, product promotion, and coordination with sales and service teams.

↪️ The ideal candidate should be capable of understanding veterinary diagnostic equipment, especially hematology, biochemistry, immunodiagnostic, and point-of-care analyzers used in veterinary practice.

The candidate should possess any of

Senior Product Manager Healthcare

Experience: 12 to 20 years

Domain: Digital Health, Health Informatics, Consumer Health Platforms, Providers

Key Responsibilities

1. Product Requirements Discovery, Analysis & Documentation

• Lead discovery sessions to translate business needs into detailed epics
• Break down complex business needs into clear, testable requirements.
• Create BRD / FRDs, user stories, process maps, UX flows.
• Conduct competitive analysis based on business needs.
• Work with UX team to design Customer journeys
• Partner with Product Owner for backlog management, prioritization, and sprint planning.
• Ensure requirements meet Definition of Ready (DoR) and Definition of Done (DoD).
• Interact with Technical to ensure business needs are translated as discussed
• Support QA team to ensure functional test scenario coverage aligns with DoD:
• Drive Sprint Demos, UAT, defect triage and release validation

Required Skills & Experience

Experience

• 12 to 20 year's total, with minimum 10 years in Digital Health, Healthcare IT, or Health Informatics.
• Strong experience contributing to Agile product teams (SaaS/web/mobile).

Domain Expertise

• Consumer health platforms (WebMD-like models): content hubs, na