Shreya Jain

Product Manager

United Arab Emirates5 yrs 9 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Led Agile transformation across multiple teams.
Improved delivery predictability from 55% to 95%.
Built AI-powered features with measurable impact.

Stackforce AI infers this person is a SaaS Product Manager with strong AI and data analytics expertise.

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Skills

Core Skills

Product DevelopmentAi Feature DeliveryData Analysis

Other Skills

AI PromptingAgile TransformationAutomationDORA MetricsData VisualizationDeep LearningExploratory Data AnalysisMachine LearningMetaBaseMicrosoft ExcelMicrosoft Power BIMicrosoft PowerPointMicrosoft WordMixpanelPL/SQL

About

I work at the intersection of AI, data, and product delivery. Over the past five years, I’ve supported multi-brand roadmaps, improved delivery throughput with DORA-based insights, and shaped AI-powered features through structured evaluation, prompt design, and expert-in-loop testing. My strengths sit in translating complex requirements into clear product decisions, improving reliability and velocity across engineering teams, and building workflows that scale across brands and time zones. Earlier roles in analytics and ML give me a strong technical foundation, and I use that context to make product decisions with clarity. I value customer experience, thoughtful problem-solving, sustained momentum, and the underlying systems that turn AI-led decisions into real product impact.

Experience

Travelopia

Product Owner – AI & Operations

Apr 2023 – Present · 2 yrs 11 mos · Bengaluru, Karnataka, India · Remote

Formerly Business Analyst; expanded scope into Product Ownership, AI feature delivery, and Ops transformation for multiple brands.
≫ AI Call Compass - Sales intelligence tool analyzing all inbound and outgoing sales calls/day for private jet trips | Built scoring engine | Leading prompt engineering + evals with domain experts | UX prototyping & design | 25% booking uplift expected
≫ Led the Agile transformation across UK/India/US squads: sprint rituals, story-writing standards, and delivery governance.
≫ Drove end-to-end flow improvement: Raw requirements → refined tickets → shipped product increments.
≫ Cycle time: reduced from 100 → 20 days.
≫ Release predictability: improved from 55% → 95%.
≫ On-time delivery: sustained 98% across 40+ stories/quarter.
≫ Backlog health: improved from 1 year → 2 weeks.
≫ Served as DORA metrics owner, sprint-planning lead, and cross-functional liaison between business, design, and engineering.

AI PromptingPrompt EngineeringProduct DevelopmentAgile TransformationDORA MetricsAI Feature Delivery

Signeasy

Business Analyst

Dec 2021 – Apr 2023 · 1 yr 4 mos · Bengaluru, Karnataka, India

Drove data-led decisioning for a globally adopted SaaS e-signing platform through predictive analytics, unified dashboards, and behavioral insights.
≫ Built churn-prediction models, recovering ~15 key accounts per quarter.
≫ Unified seven data sources into Mixpanel dashboards used by 40+ stakeholders; improved visibility ~10×.
≫ Delivered quarterly insights to leadership, informing roadmap priorities and resource allocation.
≫ Ran analytics enablement sessions that doubled self-serve usage across CS and Marketing.

Data AnalysisMixpanelPerformance DashboardsPredictive AnalyticsProduct Development

Fusion practices

Data Analyst

Nov 2020 – Dec 2021 · 1 yr 1 mo · Pune, Maharashtra, India

Built workflows and pipelines for large enterprise pension and financial clients, strengthening accuracy, automation, and delivery consistency.
≫ Built Power BI + PowerApps workflows tied to Azure pipelines, mentored four analysts and implemented QC workflows, reducing data load errors ~30%.
≫ Contributed to feature improvement for PreAwards by refining data models and validating requirements.

Data AnalysisPower BIPowerApps

Transabel

Data Science Intern

Jun 2020 – Nov 2020 · 5 mos · Hybrid

Contributed to benchmarking and training workflows for autonomous-driving vision models in an ML startup focused on large-scale computer-vision systems.
≫ Improved detection and segmentation KPIs using YOLOv5, EfficientDet, and Mask R-CNN.
≫ Built data QC and preprocessing pipelines to elevate dataset reliability for downstream training.