Swati Jain

Product Manager

Bengaluru, Karnataka, India5 yrs 2 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Led successful launch of gamification feature increasing user engagement.
Expert in transforming user problems into effective SaaS solutions.
Strong foundation in analytics driving business outcomes.

Stackforce AI infers this person is a Product Manager in the SaaS industry with strong analytical and user experience skills.

Contact

Skills

Core Skills

Product Strategy & Roadmap PlanningGo-to-market (gtm) StrategyProduct Execution & DeliveryUser Research & User Experience

Other Skills

WireframingPrototypingAnalytical SkillsProduct LaunchProduct RoadmapAPI design3rd Party IntegrationsUser Experience (UX)Go-to-Market StrategyTechnical DocumentationCustomer DemosSales EnablementMicrosoft ExcelSQLDatabricks

About

As a Product Manager with over 5 years of experience, I am passionate about transforming complex user problems into simple, elegant SaaS solutions. For me, the most satisfying part of the job is digging deep into a customer's problem, beyond what they're saying to what they truly need, and then leading a team to build the solution that makes their life easier. My journey began in analytics, which gave me a strong foundation in using data to understand customer behavior and drive business outcomes. Today, I lead the end-to-end product lifecycle, from initial user research, prototyping and strategy to go-to-market execution. At Capillary Technologies, I've own the roadmap for our core loyalty, rewards and incentives modules and launch new products from 0 to 1, like the 'Badges' feature, which directly increased user engagement with the loyalty programs. I thrive on collaborating with cross-functional teams to build products that not only meet user needs but also create tangible business value. Key Areas of Expertise: • Product Strategy & Roadmap Planning • Product Execution & Delivery • Go-to-Market (GTM) Strategy • User Research & User Experience • API Product Management & Third-Party Integrations • Product Analytics • Stakeholder Management & Team Leadership

Experience

5 yrs 2 mos

Total Experience

1 yr 9 mos

Average Tenure

3 yrs 4 mos

Current Experience

Capillary technologies

2 roles

Product Manager

Promoted

Dec 2022 – Present · 3 yrs 4 mos · Bengaluru, Karnataka, India

As the Product Manager for the core Loyalty, Rewards, and Incentives products, I own the product strategy and roadmap, translating business goals into high-impact features that drive revenue and user engagement. I led the 0-to-1 launch of our "Badges" gamification feature, from initial customer research and prototyping to GTM execution, resulting in an 8% transaction increase for our pilot client. I also drive significant platform enhancements, including a global UI/UX revamp of the Rewards Catalog that improved NPS and accelerated client go-lives, and have managed third-party API integrations to expand our engagement capabilities. By leading GTM strategy for new monetization features and creating robust enablement kits, I have helped increase sales effectiveness while improving overall product quality and user experience.

WireframingPrototypingAnalytical SkillsProduct LaunchProduct RoadmapAPI design+11

Associate Product Manager

Dec 2022 – Sep 2024 · 1 yr 9 mos · Bengaluru, Karnataka, India

Nextleap

Product Management Fellow

Nov 2022 – Dec 2022 · 1 mo

Learning WHAT, HOW and WHY of Product Management in this course with Nextleap.

Livspace

3 roles

Manager-Business Analytics

Apr 2022 – Dec 2022 · 8 mos

1. Leading the Analytics of Cx communication, Escalations, Cancellations and People Feedback
2. Led the Operations Analytics team : Data management, leading weekly meetings, tracking performance, identifying challenges and resolving issues

Senior Business Analyst

Promoted

Jan 2022 – Mar 2022 · 2 mos

Designed the incentive and variable model of the entire sales team based on simulations which led to increase in non zero payouts by 30-35% and retention of employees , making the process more transparent

Business Analyst

Jan 2021 – Dec 2021 · 11 mos

1. Optimized and automated the lead allocation process by increasing the quality of leads and decreasing the volume of leads based on utilization by the sales team and other factors thereby decreasing the overall lead cost and increasing the conversion%
2. Predicting the monthly revenue (confirmed GMV) based on project timeline feature which is shared with Cx for transparency and mitigate risks in achieving the targets with accuracy ~90%
3. Analyzed the historical waterfall distribution from BGMV to CGMV mitigating the cancellations & SOP adherence

Tredence inc.

Analyst

Oct 2020 – Jan 2021 · 3 mos

Responsible for analyzing and crunching data according to business needs. Led a team of 8 members in a training project to analyze a Google PlayStore dataset using ADF, Azure SQL DB and Power BI

Microsoft AzureMicrosoft ExcelMicrosoft Power BISQL

Indian institute of technology gandhinagar

Intern

May 2019 – Jul 2019 · 2 mos · Gandhinagar

Worked on a project titled ”Significance of predicted and experimentally established transcription factor binding site motifs and their genome-wide co-occurrence” with the aim to find whether in silico motifs are concurrent with the experimentally determined ChIP-seq peaks and to analyze the predicted In silico data and its significance under the supervision of Dr. Umashankar Singh

Indian institute of technology, gandhinagar

2 roles

Winter Research Intern

Dec 2018 – Dec 2018 · 0 mo · Gandhinagar

Next-Generation sequencing Analysis on a project titled "Significance of predicted and experimentally established transcription factor binding site motifs and their genome-wide co-occurrence" under the supervision of Dr. Umashankar Singh.

Summer Research Student

May 2018 – Jul 2018 · 2 mos · Gandhinagar

Worked on a project titled "Significance of predicted and experimentally established transcription factor binding site motifs and their genome-wide co-occurrence" with the aim to find whether in silico motifs are concurrent with the experimentally determined CHIP-seq peaks and to analyse the predicted in silico data and its significance. This project has been done under the supervision of Dr. Umashankar Singh.