AI Product Manager (Pune)

AI Product Manager (Pune)

01 Sep
|
Aziro
|
Pune

01 Sep

Aziro

Pune

Aziro is looking for a Senior Product Manager with strong product judgment, meaningful AI fluency, and experience building products in financial services or a closely related domain.

You will own a product area end-to-end, from market and customer discovery through roadmap planning, delivery, launch, and performance measurement. You will work closely with engineering, design, customer success, go-to-market teams, and client stakeholders to ensure that products solve real customer problems and deliver measurable business value.

This role is designed for a product manager who uses AI as a core part of their daily workflow to accelerate research, improve decisions, create prototypes, and raise the quality of product execution.

This is a remote, India-based position supporting a US-based product organization. The role reports to Aziros product or delivery leadership and works closely with the client’s Director of Product Management.

Key Responsibilities

Product Management

- Develop a deep understanding of the market, competitors, users, buyers, and emerging trends through customer interviews, data analysis, and structured feedback loops.
- Own and evolve a 6-12 month product roadmap, including priorities, dependencies, delivery progress, and changing customer or business needs.
- Translate customer needs, stakeholder input, and market insights into transparent product initiatives, epics, requirements, and user stories.
- Define and track product KPIs related to customer adoption, retention, engagement, revenue, and overall product health.
- Measure whether released features deliver the intended customer and business value, and use those findings to guide future product decisions.
- Lead products and major features from discovery and validation through launch, adoption, and ongoing improvement.
- Bring clear analysis, recommendations, and a defensible point of view to roadmap, planning, and stakeholder discussions.
- Partner with Engineering, Design, Sales, Marketing, Customer Success, and senior leadership to align product vision, positioning, priorities, and execution.
- Identify opportunities for product differentiation and run focused experiments to validate new ideas quickly.
- Guide Product Owners, Business Analysts, and junior Product Managers on prioritization, backlog management, user-story quality, and product execution.
- Step into Product Owner responsibilities when needed to maintain delivery momentum.

AI-Native Product Execution

- Use AI tools as core components of the product management workflow rather than as occasional productivity tools.
- Use AI to accelerate:Customer and market research
- Competitive analysis
- Interview and feedback synthesis
- Data analysis
- Product requirements and specifications
- User stories and acceptance criteria




- Executive and stakeholder communication
- Build or guide the creation of working prototypes using tools such as Claude, Cursor, ChatGPT, GitHub Copilot, Lovable, Replit, or similar platforms.
- Use prototypes to test product direction with customers and stakeholders before committing significant engineering resources.
- Apply strong product judgment to validate AI-generated outputs, identify limitations, and determine where human analysis and decision-making remain essential.
- Share effective AI workflows and practices with the broader product and delivery teams.

Financial Services Domain

- Develop a strong understanding of the client’s financial products, customer journeys, operating environment, and business model.
- Translate financial-services customer needs into product priorities with measurable business outcomes.
- Understand how product decisions may affect areas such as:Customer onboarding
- Payments and transactions
- Account servicing
- Risk and compliance
- Data security and privacy
- Revenue and pricing
- Customer retention
- Operational efficiency
- Work effectively with financial-services subject matter experts, business stakeholders, compliance teams, and technical teams.
- Identify churn risks, deal blockers, customer pain points, and expansion opportunities and convert them into actionable product priorities.

Qualifications

- Bachelor’s degree or equivalent work experience.
- 5+ years of experience in software, SaaS, product engineering, or technology services, including at least 4 years in product management.
- Proven experience owning a product or major product area from discovery through launch and ongoing performance measurement.
- Experience building and managing a 6–12 month product roadmap.
- Demonstrated success delivering measurable customer and business outcomes, including adoption, retention, revenue, efficiency, or customer satisfaction.
- Meaningful experience using AI tools in product management. Candidates should be able to explain:How AI has changed their workflow
- Which activities it has accelerated or replaced
- Examples of prototypes or analyses they have created
- Where AI tools have produced weak or unreliable results
- Where human product judgment remains essential
- Experience with AI-assisted prototyping or development tools such as Claude, Cursor, ChatGPT, GitHub Copilot, Lovable, Replit,



or similar platforms.
- Experience in financial services, fintech, banking, payments, insurance, lending, wealth management, financial software, or a related industry.
- Candidates without direct financial-services experience must demonstrate strong subject-matter expertise or substantial experience building products for regulated or transaction-intensive industries.
- Strong understanding of customer discovery, market analysis, product positioning, packaging, pricing, and go-to-market strategy.
- Strong business and revenue fluency, including the ability to connect product priorities to:Customer adoption
- Churn risk
- Deal blockers
- Retention
- Expansion opportunities
- Revenue growth
- Experience mentoring or guiding Product Owners, Business Analysts, junior Product Managers, or similar team members.
- Strong experience working in Agile environments, including backlog management, delivery planning, and process improvement.
- Ability to present product recommendations, trade-offs, and decisions to executives, clients, and cross-functional teams.
- Strong working understanding of APIs, databases, cloud infrastructure, networks, software architecture, and data flows.
- Strong experience with Jira and product documentation practices.
- Experience working with US-based stakeholders and distributed engineering teams is strongly preferred.
- Experience in a technology services or client-facing consulting environment is preferred.

Ideal Candidate Attributes

Strong Product Manager

Demonstrates clear product judgment, understands customers and markets, makes effective prioritization decisions, and connects roadmap choices to measurable outcomes.

AI-Native

Uses AI daily for research, synthesis, analysis, prototyping, documentation, and communication. Can demonstrate how AI has materially improved the speed and quality of their work.

Financial Services-Oriented

Understands financial-services products, customer journeys, commercial models, risk considerations, and the importance of accuracy, trust, security, and compliance.

Customer-Focused

Engages directly with users and buyers, identifies meaningful problems, and prioritizes work based on customer value rather than stakeholder volume.

Strategic and Hands-On

Can define product direction while also working through discovery, requirements, backlog refinement, prototyping, launch, and performance analysis.

Outcome-Oriented

Connects product decisions to adoption, retention, revenue, operational improvement, and customer success. Treats launch as the beginning of accountability.

Influential Leader

Builds trust across teams, communicates clearly with senior stakeholders, and drives progress across functions, organizations, and time zones.

📌 AI Product Manager (Pune)
🏢 Aziro
📍 Pune

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