Headline

Driving operational strategy and team development at Pocket FM.

About

Perpetually figuring things out. Problem Solver at heart. Loves tinkering with things. Team Player. Willing to learn anything that feeds the curiosity. 50% Thinker, 50% Doer.

Location

Bengaluru

AI stack

claude

deepseek

gemini

grok

ChatGPT

Work experience

Program Manager (Growth), Pocket FM at Pocket FM, Nov 2024 - Present · 2 yrs, 1. Writer's Benefit Program contract management. 2. Drove throughput consistency across top WBP shows that scaled from 58 to 112 (Oct '25–Mar '26) — reducing the share of shows missing monthly publish-day targets from 37.93% to 18.75%, and throughput failure rate from 17.24% to 10.71%, despite the portfolio nearly doubling. This directly impacted Monthly Throughput Bonus, a source of author earnings. 3. Accelerated how fast shows hit word-count milestones — cutting median time-to-milestone ~56% to 400K and ~65% to 600K across 2026, even as the cohort nearly doubled. Driven through milestone transparency, writer motivation, structured earnings/plays expectation-setting, and writer-specific problem resolution. 4. Drove community initiatives — Author Support Channel (1:1 WhatsApp groups bridging authors with teams); Writers Listening Room (cohort authors engaging product and tech teams to surface pain points); and a Monthly Newsletter. 5. Launched "Next 100 Hours" calls — authors and editors mapping the next 100 hours of content, giving writers an approved idea bank and editors early visibility into story direction; improved MTB consistency MoM. 6. Lifted overall author NPS 17.73% → 24.71% and WBP author NPS 27.78% → 44.86% — a 17-point jump in 6 months. 7. Program-managed the editorial review pipeline for underperforming shows — coordinated editor-author calls, tracked re-editing deliverables, and shipped revised shows for AB and Performance Marketing testing on weekly/monthly cycles. 8. Built the platform's plagiarism detection process from scratch — an AI-assisted review workflow paired with human verification, serving as the IP clearance step that determined commercial terms, deal structure, and incentive eligibility for each show. 9. Owned cross-functional author operations across 7 internal teams — Finance, Legal, Design, PR, Product, Tech, and Editorial — the primary bridge between the author community and the organisation.

Program Manager, Pocket Novel at Pocket FM, Jun 2024 - Nov 2024 · 6 mos, Bengaluru, 1. Managed the end-to-end Writer Benefit Program (WBP) contracting funnel for novels — prioritised fast closure, low pending cases, and seamless author experience from offer to signed contract 2. Compiled and edited a full storytelling course for first-time WBP authors — conducted regular Zoom training sessions focused on writing shows that perform on the platform. Tracked session attendance, iterated on course content with the team to ensure training translated into stronger story quality and higher contracting readiness 3. Maintained CS ticket closures SLA targets for key account top authors at 90% ticket closure within 7 days 4. Identification of shows the fail retention benchmarks and lose monetory incentives. Coordinated re-editing of underperforming chapters and drove the program along with editors, authors and community team members to keep the editing inflow regular and running AB testing until retention benchmarks are crossed. Achieved 13% incentive re-enablement — a meaningful result given these were rescue cases, not fresh content. 5. Adhoc tasks including shows migration from Pocket Novel to Pocket FM, cover image pipeline, etc

Caregiving at Career Break, Mar 2024 - May 2024 · 3 mos, Sabbatical due to medical emergency.

Head - IP Acquisition Operations at Pratilipi, Apr 2022 - Feb 2024 · 1 yr 11 mos, Bengaluru, Karnataka, India, 1. Scaled IP ops to Tamil, Telugu, Kannada, Malayalam and English language departments. 2. Hired, trained and managed a team of 12 people to foster smooth and timely acquisitions of stories. 3. In total acquired 20 lakh+ minutes of stories from 1.5k+ authors across 9 languages in a record low of price point of Rs 18/minute 4. The acquired stories served to be major revenue earners for licencing teams and production teams like PratilipiFM (audio), Pratilipi Comics (Comics), Pratilipi Films (Motion Comics), Westland (Print) and Pratilipi Premium Team. 5. Further reduced the Acquisition TAT from <7 days to <2 days and some cases even <1 day.

IP Acquisition Manager at Pratilipi, Nov 2020 - Apr 2022 · 1 yr 6 mos, Bengaluru, Karnataka, India, 1. Set-up infrastructures like due diligence ops, DBs, automations, etc. to acquire Full, Partial and Option rights for IPs in Hindi language department. 2. Scaled it to Marathi, Bengali, Gujarati departments. 3. Reduced the Acquisition TAT from 20+ days to <7 days 4. Partnered with relevant vendors, law firms and businesses to fascilitate drafting of agreements, due diligence and signing.

Communities at Pratilipi, May 2019 - Nov 2020 · 1 yr 7 mos, 1. Experimented social media campaigns to enable community outreach and engagement initiatives in order to strengthen the relation with the readers and writers community in general through Pratilipi's Facebook pages. 2. Set-up Pratilipi Clubs, a geography wise local offline meetup groups to enable offline engagements. 3. Planned Pratilipi's mega offline meetup event at Delhi, failed due to Covid. 4. Setup Pratilipi Pen Friends FB group to engage with top writers to foster more engagement and priority community support. 5. Set-up UGC voice over artists community for PratilipiFM to generate UGC content

Community Manager at Clip, Feb 2018 - Apr 2019 · 1 yr 3 mos, Bangalore, Being an early employee, the 13th hire of the team, built two diverse communities (Bengali and Urdu) from scratch, setting up relevant ops to facilitate a seamless content quality experience for the users. -Clip Tv- Set up content moderation and tagging team for the project. Conducted content curation based on data analysis and community feedback. Clip Tv received 10-12% of the language's total DAU with an engagement time ranging from 5-6 mins and D1Ret% 22-27% -Content Moderation Setup- Set up a moderation team to remove NSFW content. Layers of moderation were structured according to the needs arising from time to time. Uninstall rate fell from an alarming 30% to as low as 4% -Feed Video Seeding Algorithm- Experiments to gauge different content types and their respective relationship and elasticity of R (likes+comments+shares+downloads) with V (views). This further helped in recognizing highly shareable, downloadable and watchable content. Furthermore, different weight allocations to R and V were tested. In conclusion, .7R+.3V was understood to be the best-performing formula which was eventually forwarded to the product team for further relevant execution. -Daily Notifications Curation and Analysis- Curated daily notifications (5-8/day) and gained detailed insights from them. Detailed insights include, the performance of notification copy, thumbnail, type, content type, and timings, gauged with the help of metrics like Show Notifs, Click Notifs and CTR%. This knowledge was used to understand the relevance of timings, copy, content and notif type. Notifications had a direct impact on the total DAU of the company. -Growth and Marketing- Was responsible to bring community-specific knowledge which was leveraged to conduct relevant ads. Major sources of this knowledge include learning from notification performances and ClipTV.

Education

Master’s Degree, Economics, University of Calcutta

Business Analytics, Data Analytics, Ivy Professional School