Anoop Nair

Product Manager

Washington, DC, United States19 yrs 2 mos experience
AI ML PractitionerAI Enabled

Key Highlights

  • Led successful AI product strategy in FinTech.
  • Achieved significant cost reductions in cloud infrastructure.
  • Built scalable platforms serving millions of users.
Stackforce AI infers this person is a FinTech and SaaS product management expert with a focus on AI integration.

Contact

Skills

Core Skills

Ai Product ManagementAi Product StrategyCloud Cost OptimizationProduct DevelopmentProduct StrategyOperations ManagementProject ManagementSystem Analysis

Other Skills

Customer ResearchSLA / MTTR / MTTIMLOpsCross-functional Team LeadershipLarge Language Models (LLM)Distributed Team ManagementSaaS / B2B SaaSObjectives and Key Results (OKRs)Continuous Integration and Continuous Delivery (CI/CD)Backlog PrioritizationData-driven Decision MakingProduct DiscoveryCustomer Satisfaction (CSAT)Risk ManagementPrompt Engineering

About

I am a Senior AI Product Manager with 19 years of experience building and scaling AI-powered, cloud-native platforms in FinTech and consumer technology. I operate at the intersection of product vision, platform strategy, and production-grade AI, taking products from 0→1 and from experimentation to measurable business impact. My core strength is translating complex customer needs and operational signals into clear product roadmaps, prioritized backlogs, and shipped outcomes. At H&R Block, I led the 0→1 build of a mobile banking platform serving 1M+ users, embedded Azure ML and Hugging Face models into production workflows, and drove a 55% reduction in cloud spend, 40% reduction in Sev1/Sev2 defects, and 90% release predictability. At Fiserv, I own enterprise FinTech platform modernization, delivering a 30% reduction in cloud infrastructure costs and 40% sprint velocity improvement within a single quarter. I bring hands-on experience with: • AI product strategy and roadmap ownership across GenAI, LLM, and Agentic AI applications • Prompt engineering and LLM integration (OpenAI, Azure ML, Hugging Face) • API-first, multi-tenant SaaS platform design and cloud-native architecture on Azure • Product discovery, customer research, A/B testing, and data-driven backlog prioritization • Regulatory-grade FinTech delivery covering compliance, security-by-design, and audit readiness • Reliability engineering, SLA, MTTR, observability, and incident management frameworks • Executive stakeholder communication and cross-functional leadership across distributed global teams I believe great product management is about systems thinking, building resilient, intelligent platforms that make complexity invisible to the customer. If you are scaling AI products in FinTech, cloud infrastructure, or developer platforms, let us connect.

Experience

19 yrs 2 mos
Total Experience
3 yrs 9 mos
Average Tenure
--
Current Experience

Fiserv

AI Product Manager

Jul 2025Present · 10 mos · Lincoln, NE · On-site

  • Led AI-driven product strategy and enterprise platform modernization for customer-facing FinTech applications at Fiserv, one of the world's largest financial technology providers. Own the full product lifecycle of roadmap, backlog prioritization, release governance, and KPI accountability for a distributed U.S.–India engineering organization delivering B2B SaaS solutions at enterprise scale.
  • Defined and owned the AI product roadmap for cloud-native FinTech application frameworks, aligning product strategy with business objectives, multi-tenant SaaS platform requirements, regulatory SLA standards, and compliance constraints.
  • Embedded OpenAI-driven GenAI and Agentic AI capabilities as production-grade platform features including RAG-powered workflows and reporting automation and established LLMOps and AI observability practices to monitor model quality and reliability in production. Delivered a measurable 40% improvement in engineering productivity.
  • Drove Azure cloud-native adoption and CI/CD pipeline maturity via Azure DevOps, improving developer experience (DX) and developer productivity delivering a 30% reduction in cloud infrastructure costs and 40% increase in sprint velocity within a single quarter.
  • Defined and tracked product KPIs and release governance mechanisms using SQL-driven analytics to surface operational signals, improve release predictability, and drive cross-functional execution alignment across distributed teams.
  • Modernized incident management and reliability frameworks aligned with Service Reliability Engineering (SRE)principles embedding MTTI, MTTR, service telemetry and observability into the product operating model.
  • Managed competing requirements across a multi-tenant B2B SaaS platform, defining success metrics including availability, CSAT, and adoption, delivering measurable improvements to service health and developer experience for internal engineering teams.
Customer ResearchSLA / MTTR / MTTIMLOpsCross-functional Team LeadershipLarge Language Models (LLM)Distributed Team Management+34

H&r block

Product Development Manager

Sep 2018Jul 2025 · 6 yrs 10 mos · United States · On-site

  • Led the 0→1 build and scale of a mobile banking platform serving 1M+ users and generating multimillion-dollar revenue, defining both the product and engineering roadmap from MVP to full-market release.
  • Owned the strategic direction across architecture, cloud economics, performance optimization, security, regulatory compliance, resiliency, and observability, ensuring enterprise-grade scalability on Azure Cloud while aligning technology investments with business growth objectives.
  • Partnered cross-functionally to establish a modern product-engineering operating model, delivering:
  • 55% reduction in operational cloud spend
  • 80% reduction in vendor API spending
  • 35% improvement QoQ in software quality
  • 40% reduction QoQ in Sev1/Sev2 defect leakage
  • 90% release predictability with sustained 75–80% sprint velocity
  • Led the 0→1 build and scale of a mobile banking platform serving 1M+ users, generating multimillion-dollar revenue. Owned the full product roadmap and engineering strategy from MVP to full market release, spanning AI integration, cloud economics, security-by-design, regulatory compliance, and reliability engineering on Azure.
  • Owned end-to-end AI product strategy from product-market fit validation and MVP definition through go-to-market launch, translating customer discovery and SQL-driven operational data into a prioritized backlog and measurable release outcomes.
  • Integrated Azure ML and Hugging Face models into production delivering NLP-powered user sentiment analysis, budget summarization, and intelligent downtime detection and established early LLMOps practices for AI-assisted user story generation, embedding data intelligence into engineering workflows.
  • Led beta programs and user research feedback loops to validate product direction conducting A/B testing and SQL-based cohort analysis to surface actionable insights and drive rapid iteration. Maintained 75–80% sustained sprint velocity.
Customer ResearchSLA / MTTR / MTTICross-functional Team LeadershipLarge Language Models (LLM)Distributed Team ManagementSaaS / B2B SaaS+32

Enlighted

Product Development Manager

May 2017Jul 2018 · 1 yr 2 mos · Greater Chennai Area · On-site

  • Owned product strategy and technical execution for large-scale IoT smart energy deployments across global enterprise portfolios at the intersection of hardware, software, cloud analytics, and data intelligence.
  • Defined product roadmap and go-to-market strategy for IoT platform deployments across global enterprise B2B portfolios, validating product-market fit through direct enterprise customer engagement and iterating on positioning based on field feedback.
  • Translated enterprise objectives into scalable product architectures, aligning API-first, cloud-native analytics platforms with edge device integration and digital dashboards into cohesive production-grade solutions.
  • Leveraged IoT telemetry and data analytics to drive product optimization decisions, delivering 60% revenue uplift and enabling 50% reduction in client energy costs through data-driven platform improvements.
  • Served as primary technical product advisor and cross-functional stakeholder lead to enterprise customers globally, managing requirements, mitigating delivery risk, and ensuring regulatory and safety compliance.
Customer ResearchSLA / MTTR / MTTICross-functional Team LeadershipDistributed Team ManagementSaaS / B2B SaaSObjectives and Key Results (OKRs)+22

Amazon

Operations Manager Level 5

Mar 2016May 2017 · 1 yr 2 mos · Greater Chennai Area · On-site

  • I led global product execution strategy across the Echo, Kindle, FireOS, and Home Automation portfolios, partnering closely with product and engineering leadership to translate roadmap ambition into scalable, predictable global delivery. Supporting both U.S. and India regions, I built and guided a 15–20 member cross-functional organization responsible for 3–4 major launches annually serving Amazon’s global customer base.
  • My focus extended beyond launch coordination to strengthening the operating model behind product delivery. By introducing structured release governance and clearer cross-functional decision frameworks, we accelerated time-to-delivery by 40%, enabling faster realization of product value. We reduced post-launch defect rates by 60% per quarter by embedding systemic quality controls and root-cause-driven engineering discipline, elevating customer experience and platform reliability. SLA adherence improved by 80%, increasing execution predictability and reinforcing stakeholder trust across regions.
  • During peak seasonal cycles, I led cross-functional war-room operations to safeguard launch integrity and customer experience, reducing incident response time by 30% and strengthening operational resilience during high-demand windows. At the organizational level, I prioritized leadership development and succession depth, mentoring and promoting three engineers within two years to ensure long-term capability growth.
  • At its core, my mandate was to align product vision, engineering systems, and operational scale, ensuring that innovation did not outpace execution, and that execution consistently translated into customer and business impact.
Customer ResearchCross-functional Team LeadershipDistributed Team ManagementSaaS / B2B SaaSObjectives and Key Results (OKRs)Data-driven Decision Making+14

Rr donnelley

Project Manager

Jan 2014Mar 2016 · 2 yrs 2 mos · Greater Chennai Area · On-site

  • Led cross-functional product and engineering teams delivering scalable web and mobile platforms, aligning technology strategy with business objectives and long-term growth priorities. Owned end-to-end delivery governance across the SDLC, instituting execution frameworks that strengthened quality, automation maturity, and performance optimization at scale. Designed operating rhythms and performance dashboards that improved predictability, reduced delivery risk, and enhanced stakeholder confidence.
  • Partnered with senior leadership to translate business goals into actionable technology roadmaps, balancing speed, cost discipline, and system resilience. Built and mentored high-performing engineering teams, led strategic hiring initiatives, and fostered a culture of accountability, innovation, and continuous improvement that elevated both technical capability and organizational maturity.
Cross-functional Team LeadershipDistributed Team ManagementObjectives and Key Results (OKRs)Data-driven Decision MakingRisk ManagementSQL+7

Accenture services private limited

Senior System Analyst

Feb 2006Dec 2013 · 7 yrs 10 mos · India, Australia, Finland · On-site

  • Advanced from software engineer to technical lead roles while contributing to large-scale, distributed enterprise systems across global teams in India, Finland, and Australia. Designed and delivered scalable, performance-optimized applications for Fortune 500 clients in banking, telecommunications, and product industries, operating within complex, multi-tier architectures and high-availability environments.
  • Advanced from software engineer to technical lead across large-scale, distributed enterprise systems in India, Finland, and Australia. Delivered scalable applications for Fortune 500 clients in banking, telecom, and product industries.
  • Designed and delivered API integrations and enterprise platform foundations for Fortune 500 banking and telecom clients, building scalable backend services using Java, Python, .NET, and C++ on high-availability architectures.
  • Contributed to solution architecture and CI/CD and deployment governance frameworks, establishing engineering standards in quality, test automation, and regulatory/compliance-aligned delivery across global teams.
  • Built SQL-driven data processing workflows and system integration layers aligned with enterprise performance, security, and scalability requirements.
  • Collaborated closely with business analysts, architects, and infrastructure teams to translate evolving requirements into resilient technical solutions, reinforcing engineering standards and establishing best practices in quality, testing automation, and deployment governance.
Cross-functional Team LeadershipDistributed Team ManagementData-driven Decision MakingRisk ManagementSQLAgile Methodologies+4

Education

Mahatma Gandhi University

Bachelor of Technology (BTech) — Computer Science and Engineering

Jan 2001Jan 2005

Kendriya Vidyalaya

12th Standard — Mathematics and Computer Science

Jan 1992Jan 2001

Stackforce found 100+ more professionals with Ai Product Management & Ai Product Strategy

Explore similar profiles based on matching skills and experience