Headline

Product Manager II at Paytm | ML-driven Workforce Intelligence · Onboarding & Lifecycle Platforms | 0→1 and 1→10 | GrowthX

About

I build platforms that turn operationally complex, people-heavy systems into something clean and repeatable. At Paytm, that's meant taking a pan-India field sales operation (sourcing, onboarding, compliance, productivity) and turning it into system-driven workflows: a 50% reduction in onboarding time, conversion improving from 18% to 38%, and meaningful cuts to acquisition cost and early attrition. My background is in systems engineering, which shapes how I think about product: how it handles scale, where dependencies hide, and whether the architecture holds six months later. I'm now spending most of my time on the data layer, building ML-driven models that help a large field workforce operate more efficiently. Outside of work, I built Lumina, an AI thinking environment that orchestrates across multiple models depending on the depth of the question. Always happy to exchange notes on system design, ML in product, or product strategy.

Location

Bengaluru

AI stack

antigravity

codex

claudecode

Work experience

Product Manager II at Paytm, Apr 2026 - Present · 5 mos, • Building and scaling ML-driven systems for Paytm's field operations, spanning fraud detection, performance scoring, and churn prediction for a workforce of 36,000+ field agents across India. Work includes defining feature inputs, evaluation criteria, and automation guardrails for predictive models in partnership with data science and engineering teams. • Continuing to own the hiring and onboarding platform (0→1, now scaling)- driving improvements in funnel conversion, time-to-hire, and early retention through product-led automation and compliance workflows.

Associate Product Manager at Paytm, Dec 2024 - Mar 2026 · 1 yr 4 mos, • Led 0→1 development of Paytm's hiring and onboarding platform for Field Sales Executives, replacing fragmented offline processes with a scalable digital workflow • Drove measurable improvements in acquisition costs, onboarding time, and early attrition through platform-led design spanning identity verification, compliance automation, and multi-channel engagement across the FSE acquisition funnel

Member of Technical Staff, Systems Engineering at Rambus, Apr 2024 - Dec 2024 · 9 mos, Bengaluru, Karnataka, India, Owned the electrical characterisation activities for the latest generation of the Registered Clock driver

Scrum Master at Tektronix, Dec 2021 - Feb 2022 · 3 mos, Bengaluru, Karnataka, India, • Led daily scrums, sprint activities, and retrospectives for streamlined team collaboration and progress tracking. • Assigned tasks based on priorities, customer expectations, and business decisions, enhancing team efficiency and project alignment. • Implemented thorough PRTI logging and rigorous developer testing, resulting in single-digit defect counts within the assigned period.

Software Design Engineer II at Tektronix, Sep 2021 - Sep 2023 · 2 yrs 1 mo, Bengaluru, • Engineered a patented method for PCIe Gen6 receiver calibration, slashing processing time 16 hrs to 15 mins with <5% error. • Conducted engaging customer demos, bolstering confidence and satisfaction. • Led end-to-end project lifecycle, collaborating with Marketing for feature requirements, design, and implementation. • Authored method of implementation , crafted persuasive pitch decks, and informative help docs for enhanced product communication.

Software Design Engineer I at Tektronix, Jul 2020 - Aug 2021 · 1 yr 2 mos, Greater Bengaluru Area, • Partnered with brand manager to enhance solution UX, earning praise across the organization and from multiple esteemed customers who lauded it as "one of the most intuitive solutions." • Designed algorithms and executed USB4 physical layer calibration and testing procedures to ensure product reliability and performance. • Resolved over 10 critical S1 and S2 defects throughout the release cycle, demonstrating adept problem-solving skills and commitment to product excellence.

Computer Vision Engineer at Spookfish Innovations, Jan 2020 - Feb 2020 · 2 mos, Bengaluru, • Built a pharmaceutical seal defect-detection pipeline on infrared images using Kalman filtering, texture and thermal gradient feature extraction, and Random Forest classification, achieving 87% accuracy

Education

Growth marketing - acquisition, onboarding, engagement and retention, and monetisation, GrowthX®

Master of Science, Technical University of Munich

Public links

guptasakshi.in: https://www.guptasakshi.in/