Neysa
Website:
neysa.ai
Job details:
Product Manager – AI & Information Security
Location: Mumbai Department: Product
Our Purpose
India is in the middle of an extraordinary AI revolution, powered by a young, tech-savvy generation and visionary leaders who see the future in code and creativity. Across industries—from healthcare to finance to education—AI adoption is accelerating rapidly, creating new opportunities for organizations to transform how they work, operate, and serve their customers.
At the heart of this movement stands Neysa, India’s trusted AI Acceleration Cloud Provider.
Neysa exists to democratize AI. Built in India for the world, Neysa combines deep expertise in AI infrastructure, cloud, and cybersecurity to help organizations confidently adopt, accelerate, govern, secure, and scale AI.
The Future of AI, Built on Trust and Expertise. Neysa is building the Home for Your AI.
Who We Are
Co-founded by industry pioneers Sharad Sanghi and Anindya Das, Neysa brings together deep expertise across AI, cloud infrastructure, and cybersecurity to build products for the next generation of technology adoption.
Its flagship product, Neysa Velocis, is a full-stack AI acceleration platform built for modern AI workloads—from training and fine-tuning to inference. It brings together compute, orchestration, security, and observability to help organizations adopt and scale AI faster, safer, and more efficiently.
The Opportunity: Build AI Products with Security at the Core
As a Product Manager – AI & Information Security, you will own and drive product initiatives at the intersection of AI, cloud, and cybersecurity.
You will work closely with engineering, security, design, sales, customer success, and other stakeholders to identify customer problems, define product requirements, prioritize the roadmap, and take products from concept to launch.
This is a hands-on product management role for someone who understands both the opportunities created by AI and the security challenges that come with deploying AI and cloud technologies at scale.
You will be expected to bring strong product thinking along with enough technical depth to work effectively with engineering and security teams, understand complex technology concepts, and translate them into scalable enterprise products.
What You’ll Do
Own the product lifecycle from problem discovery and ideation through roadmap, development, launch, and continuous improvement.
Define and maintain the product roadmap, prioritizing initiatives based on customer needs, business impact, technical feasibility, and market opportunity.
Work closely with engineering and security teams to define product requirements, user stories, workflows, use cases, and acceptance criteria.
Translate complex AI, cloud, and information security concepts into clear product requirements and user experiences.
Develop a strong understanding of enterprise AI and security use cases through customer conversations, market research, user feedback, and competitive analysis.
Identify opportunities to build products that address challenges around AI security, cloud security, data protection, identity, access, governance, monitoring, risk, and compliance.
Partner with engineering throughout the development lifecycle to ensure products are built against the defined customer and business requirements.
Work with design and engineering teams to create simple, intuitive experiences for complex technical products.
Collaborate with Sales, Solutions, and Customer Success teams to understand customer requirements and support product adoption.
Define product positioning, value propositions, and launch requirements in collaboration with GTM teams.
Track product adoption, usage, customer feedback, and key product metrics to identify opportunities for improvement.
Conduct competitive analysis across AI platforms, cloud providers, cybersecurity products, and emerging AI security solutions.
Stay current with developments in GenAI, AI infrastructure, AI security, cloud security, cybersecurity, and enterprise technology and translate relevant trends into product opportunities.
Work cross-functionally to drive product initiatives from concept to execution, while balancing customer needs, technical constraints, and business priorities.
What You Bring to the Table
4–10 years of experience in Product Management, with demonstrated ownership of technology products.
Strong experience managing the end-to-end product lifecycle, including discovery, requirements, prioritization, roadmap, development, launch, and iteration.
Experience working closely with engineering teams on technical or platform products.
Strong understanding of product discovery, customer research, prioritization frameworks, product metrics, and roadmap management.
Ability to convert complex customer and business problems into clear product requirements and actionable product roadmaps.
Strong professional experience working on AI and/or Information Security products is essential.
Hands-on understanding of AI/ML, GenAI, LLM applications, AI infrastructure, or AI platforms.
Strong understanding of information security and cybersecurity concepts, with experience translating security requirements into product capabilities.
Experience with one or more areas such as cloud security, application security, data security, identity and access management, security monitoring, threat detection, governance, risk, compliance, or AI security.
Understanding of the security challenges associated with AI workloads, cloud environments, APIs, data, models, and enterprise AI adoption.
Ability to work effectively with engineering, security, and technical teams and understand architectural discussions at a product level.
Enterprise & Platform Products
Experience building or managing B2B, enterprise, SaaS, cloud, cybersecurity, AI, or platform products.
Exposure to products serving technical users, developers, IT teams, security teams, or enterprise customers.
Experience gathering requirements directly from customers and translating them into product improvements.
Understanding of enterprise buying journeys, adoption challenges, and technical evaluation processes is preferred.
Core Competencies
AI & GenAI Product Management
Information Security / Cybersecurity Product Management
Cloud & Platform Products
Product Discovery & Customer Research
Product Strategy & Roadmapping
Technical Product Management
Requirements Definition & Prioritization
Cross-functional Execution
Customer & Market Understanding
Product Analytics & Metrics
Competitive Intelligence
Enterprise Product Development
Strategic & Analytical Competencies:
Product Thinking: Ability to identify meaningful customer problems, assess opportunities, define the right product solution, and prioritize effectively.
Technical Depth: Ability to understand AI, cloud, cybersecurity, and platform technologies and collaborate effectively with engineering and security teams.
Customer-Centricity: Strong ability to engage with customers and internal stakeholders to understand pain points and translate them into actionable product opportunities.
Execution Excellence: Ability to move products from idea → requirements → development → launch → iteration, while maintaining clarity on priorities and outcomes.
Data-Driven Decision Making: Use product usage, customer feedback, market intelligence, and business metrics to inform product decisions.
Market & Competitive Understanding: Stay informed about developments across AI, cloud, cybersecurity, AI security, and enterprise technology and identify opportunities for differentiation.
Education & Experience
Bachelor’s or Master’s degree in Computer Science, Engineering, Information Technology, Cybersecurity, or a related field.
4–10 years of professional experience in Product Management or closely related product roles.
Strong experience in AI, cybersecurity / information security, cloud, or related technology products.
Demonstrated experience taking technology products from concept through development and launch.
Experience working with engineering and technical teams in an agile product development environment.
Experience with B2B / enterprise products is preferred.
Experience in AI security, cloud security, cybersecurity platforms, AI infrastructure, or enterprise AI products will be highly relevant.
Your Mindset
Builder mindset with a genuine interest in AI, cybersecurity, and emerging technology
Comfortable getting into technical details without losing sight of the customer problem.
Strong ownership and bias toward execution.
Curious and comfortable working in a fast-moving, evolving technology environment.
Able to operate effectively in ambiguity and bring structure to complex problems.
Strong communicator who can influence engineering, security, business, and customer-facing teams.
Comfortable challenging assumptions and using data and customer insights to make product decisions.
Team Culture & Inclusion
Dynamic, fast-paced, and highly collaborative environment.
Culture of ownership, transparency, experimentation, and continuous learning.
Opportunity to work on products at the intersection of AI, cloud, and cybersecurity.
Diverse and inclusive workplace where every voice is valued.
Love what this role has to offer? Discover the world of Neysa.
Website: https://neysa.ai/
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