Headline

Staff Product Manager at Addepar | Financial Infrastructure, Trading Systems & Agentic AI Workflows

About

I am a Product Leader with 8 years of experience across fintech, SaaS, and analytics, specializing in turning deeply complex systems into highly scalable, user-centric solutions. Throughout my career, I’ve found my sweet spot in managing chaos: whether it’s driving zero-to-one product development, guiding global cross-functional teams through major organizational flux (like post-acquisition integrations), or untangling legacy technical debt to build unified enterprise platforms. Most recently at Addepar, I spearheaded a massive architectural pivot—halting development on a siloed legacy application to build a "Unified Trading" platform from scratch. To do this, I acted as the primary product owner for a globally distributed team of 20+ engineers and designers across the US, UK, and India. I am also deeply passionate about modernizing the product lifecycle. I actively leverage AI tools (like Gemini Enterprise and Claude Code) to accelerate market research, write hyper-focused PRDs, and establish rapid-prototyping dev environments. This AI-augmented approach has consistently reduced cross-functional friction and allowed my engineering teams to execute with predictable velocity. I thrive in environments where I can build both exceptional products and exceptional teams, and I have a strong track record of coaching and mentoring junior talent to achieve high performance. I am always open to connecting with fellow product leaders and discussing fintech innovation, AI in product management, or the challenges of scaling enterprise systems.

Location

Pune City

AI stack

antigravity

codex

Work experience

Staff Product Manager at Addepar, Apr 2026 - Present · 5 mos, Pune City, Maharashtra, India · Hybrid, I lead product development for Addepar's Trading suite, driving global cross-functional collaboration to deliver scalable, reliable investment workflows for wealth managers: • Spearheaded the strategic pivot from a legacy trading application to a "Unified Trading" model, securing executive buy-in to rebuild within the core platform. • Maintained product stability and support for flagship institutional clients, retaining over $1.2M in recurring revenue despite platform shifts. • Leveraging a custom LLM to transition manual financial workflows into automated, agentic operations, including maker-checker workflows, portfolio drift correction, and bulk liquidations. • Directed a globally distributed, cross-functional team of 22+ (US/UK/India) through the 0-1 product lifecycle. Orchestrated delivery and maintained velocity despite high strategic uncertainty. • Optimized product discovery by integrating AI-driven synthesis, reducing PRD creation time, minimizing cross-functional ambiguity, and increasing delivery predictability. • Leveraged advanced LLM-based workflows to prototype, automate documentation, and proactively identify execution gaps, significantly reducing time-to-market.

Product Manager at Addepar, Oct 2023 - Mar 2026 · 2 yrs 6 mos, Pune City, Maharashtra, India · Hybrid, • Successfully drove the conversion of 15+ institutional firms, unlocking $2.0M in combined ARR by delivering the critical trading capabilities in the legacy trading platform. • Designed and implemented the data foundation for start-of-day trading, integrating securities, positions, tax lots, and transactions through Databricks-powered data pipelines, enabling downstream features like tax-loss harvesting, and trade reconciliation. • Unified 4+ external data sources for pricing, reference, and custodial data, ensuring consistency and reliability across the platform.

Product Manager at Sentieo, an AlphaSense company, May 2023 - Oct 2023 · 6 mos, Pune District, Maharashtra, India, AlphaSense is an AI-powered market intelligence platform. I led core product initiatives during the post-acquisition integration of Sentieo, focusing on collaboration tools and enterprise scalability. • Guided a dedicated engineering team in Finland through the organizational flux of the Sentieo acquisition, driving cross-functional alignment to migrate legacy workflows and ensure continuity. • Migrated and rebuilt legacy Sentieo features to ensure enterprise continuity post-acquisition.

Associate Product Manager at Sentieo, an AlphaSense company, Jun 2021 - Apr 2023 · 1 yr 11 mos, Delhi, India, As an APM I owned workflow functionalities of the Notebook product in Sentieo prior to its acquisition by AlphaSense. • Managed the end-to-end product lifecycle for the self-serve custom reporting engine and data export workflows • Collaborated with UX designers to completely revamp the in-house Notebook RMS interface. • Drove operational excellence across the engineering organization by implementing structured product delivery frameworks, resulting in a 40% increase in sprint velocity.

Senior Business Associate at Gartner, Jul 2019 - May 2021 · 1 yr 11 mos, Gurugram, Haryana, India, Selected for Gartner’s LEADIT leadership program. I led product and analytics initiatives to drive retention strategy and improve analyst workflows. • Spearheaded discussions with service leaders to review business metrics and shape retention strategies. • Collaborated with cross-functional teams to drive retention strategies with actionable recommendations and uncover insights. • Developed a PowerBI-based integrated dashboard to derive retention metrics and surface-level insights, improving analyst productivity by 90%. • Evangelized the dashboard and built trust among high-level stakeholders around the globe by focusing on data accuracy and transparency.

Quantitative Analyst at Gartner, Jun 2018 - Jun 2019 · 1 yr 1 mo, Gurugram, Haryana, India, I led a data science initiative focused on optimizing client service operations. • Developed an NLP algorithm to summarise documents and websites, extracting forward-looking critical priorities of Gartner's clients. • Productized the solution into an internal tool for Client Service Associates, reducing manual effort by 75% and generating $1.8M in annual cost savings.

Data Science Intern at AXA Business Services, May 2017 - Jul 2017 · 3 mos, Bengaluru, Karnataka, India, Analyzed the factors affecting the pricing of flight tickets. • Collected data from Online Travel Aggregation websites by screen scraping. • Carried out multivariate analysis on factors affecting flight prices and applied predictive models, achieving an accuracy of 0.89.

Summer Intern at Edelweiss Securities Limited, May 2016 - Jun 2016 · 2 mos, Mumbai, I developed an in-house Transaction Cost Analysis Engine to visualise transaction costs incurred by traders and generate insights.

Education

Bachelor of Technology (B.Tech.), Electrical, Electronics and Communications Engineering, Indian Institute of Technology, Kharagpur