Fathima Saleem — Product Manager

I am a Product Manager with deep interest and experience in building products using AI and automation with a focus on translating complex technologies into intuitive, customer-centric experiences. I have led AI based product initiatives across multiple domains, using technologies like machine learning, NLP, and intelligent automation to streamline workflows, personalize experiences, and unlock new value for users. I understand how to balance innovation with usability and how to make data-driven decisions that prioritizes both the end-user and the business. What sets me apart is the ability to collaborate seamlessly across engineering, data science, UX, and business teams, ensuring that products are not just technically feasible, but deeply aligned with customer needs and company goals. What I bring to the table: AI Product Knowledge: Practical understanding of AI/ML concepts, including how to evaluate model performance, partner with data teams, and scope ethical, scalable use cases. Customer Empathy First: I work to uncover true user pain points through research and data Cross-Functional Execution: I have led product development across disciplines and time zones by aligning teams from idea to launch. Data-Informed Decision Making: Comfortable with product analytics, experimentation, and hypothesis testing. Continuous Learning: I actively stay updated on emerging AI trends, product best practices, and evolving user behaviors. I am drawn to mission-driven teams where design, and data come together to create elegant, high-impact experiences at scale. Let’s connect if you’re looking for a product manager who can speak with engineers and customers in equal measure and help bring intelligent, user-focused products to life.

Stackforce AI infers this person is a Product Manager specializing in AI-driven solutions across Fintech and SaaS industries.

Location: Bengaluru, Karnataka, India

Experience: 6 yrs 3 mos

Skills

Product Management
Technical Leadership
Data-driven Decision Making
Customer-centric Innovation

Career Highlights

Led AI product initiatives achieving zero regulatory incidents.
Increased user adoption by 23% through self-service reporting.
Drove 150% increase in bookings with AI recommendations.

Work Experience

PayPal

Technical Product Manager (5 mos)

IBM

Product Manager - Data & AI (8 mos)

Innovation Incubator Advisory

Product Manager (5 yrs 1 mo)

Product Analyst (11 mos)

AI Intern (3 mos)

Education

Master of Science at National University of Singapore

Bachelor of Engineering - BE at Anna University Chennai

Fathima Saleem

Product Manager

Bengaluru, Karnataka, India6 yrs 3 mos experience

Highly StableAI Enabled

Key Highlights

Led AI product initiatives achieving zero regulatory incidents.
Increased user adoption by 23% through self-service reporting.
Drove 150% increase in bookings with AI recommendations.

Stackforce AI infers this person is a Product Manager specializing in AI-driven solutions across Fintech and SaaS industries.

Contact

Skills

Core Skills

Product ManagementTechnical LeadershipData-driven Decision MakingCustomer-centric Innovation

Other Skills

AIAI/ML & Generative AI IntegrationAgile LeadershipAgile MethodologiesApplied AIAutomationBusiness StrategyBusiness-to-Business (B2B)Client RelationsCommunicationCompetitive AnalysisCompetitive IntelligenceComputer ScienceConsumer ProductsCreative Ideation

About

Experience

Paypal

Technical Product Manager

Mar 2024 – Aug 2024 · 5 mos

I led product initiatives focused on automation, data integrity, and global compliance within a high-stakes reporting platform designing trust-centric platforms.
I drove cross-functional collaboration across engineering, compliance, and legal teams to implement automated risk detection and reporting workflows, achieving zero regulatory incidents and maintaining 100% compliance across global payment operations.
I authored 8+ PRDs for automation features, enabling seamless platform transitions and ensuring on-time regulatory deliverables across APAC.
I also led root cause investigations into data pipelines, introducing validation frameworks that boosted data accuracy to 99.7% and mitigated over $500K+ in potential regulatory risk, directly supporting platform resilience, customer trust, and operational scale.

AutomationData IntegrityGlobal ComplianceCross-Functional CollaborationRisk DetectionRegulatory Compliance+3

Ibm

Product Manager - Data & AI

Jul 2023 – Mar 2024 · 8 mos

At IBM Cognos Analytics, I led product growth initiatives grounded in competitive intelligence and customer behavior analysis, with a sharp focus on improving retention and driving product-led growth.
Through market research and user feedback, I identified three high-impact unmet needs and helped launch self-service reporting capabilities that expanded adoption to over 50,000 weekly active users, resulting in a 23% increase in feature usage.
I also contributed to the product roadmap by analyzing emerging BI trends and identifying strategic opportunities, leading to a 5% rise in enterprise customer acquisition and an 18% quarter-over-quarter improvement in platform adoption.
I developed and executed a retention strategy that introduced enhanced data visualization features, addressing 15% YoY churn

Product Growth InitiativesCompetitive IntelligenceCustomer Behavior AnalysisMarket ResearchUser FeedbackData Visualization+2

Innovation incubator advisory

3 roles

Product Manager

Promoted

Jun 2018 – Jul 2023 · 5 yrs 1 mo

At Innovation Incubator, I led multiple product initiatives across AI, SaaS, and enterprise domains combining customer-centric thinking with data-driven decision-making to drive adoption, revenue, and user value.
I drove the end-to-end development of platforms and tools that resulted in significant business impact: improving dealership lead conversions by 42%, reducing customer acquisition costs by 35%, and contributing over $750K in ARR within a year.
I built a centralized document management system used by 1,000+ users across 8 business units, achieving 99% regulatory adherence and saving over $200K annually.
I defined product roadmaps, conducted 50+ user interviews, and collaborated with data science teams to deliver use cases across insurtech, fashion tech, and healthcare.
These included launching an AI outfit recommendation platform (150% increase in bookings), building an ML-based insurance matchmaker for elderly care (85% accuracy, 40% conversion boost), and developing a knowledge graph-powered recommender system that improved retention by 16%.

AISaaSCustomer-Centric ThinkingData-Driven Decision MakingProduct RoadmapsUser Interviews+2

Product Analyst

May 2018 – Apr 2019 · 11 mos

Conducted product usage analysis using cohort studies and funnel tracking to identify high-churn segments, informing future feature roadmap
Implemented Analytics in products leveraging tools such as Google Analytics, Hotjar and Sentry to understand user behaviour and log monitoring
Maintained Jira Board to prioritise production issues and software bugs based on insights obtained from Sentry logs which helped improve productivity and greatly enhanced visibility across stakeholders

Product ManagementData-Driven Decision Making