Shivanshu Singh

I talk to customers and build AI agents to solve their pain-points in a product builder and leadership role.

Building production AI agents across customer retention, revenue generation, and operational workflows.
Led multiple new product lines for the company, and those launches over the past year helped drive 2x company revenue growth while significantly reducing churn.

Focused on building long

Built a human-like Smart Memory layer for AI apps before ChatGPT had memory: an API that helped developers inject persistent user context, personalization, and agentic behavior into their products without building memory infrastructure from scratch. Improved UX, increased model utility, reduced repetitive prompting, and lowered LLM costs for product and GTM teams.

Launched an early AI executive-

Head of Global Risk & Fraud / ML Products, responsible for the Product, Commercialization, GTM Strategy, revenue and margin goals and more.
Conceived and launched the RiskControl product portfolio for Marqeta, globally with a remarkable transition from negative to +$$MM revenue within 2 years and growing 3x YoY, which helped fintechs, businesses, brands and FIs supercharge growth.

Transformed a s

Worked as Group Product Manager at Marqeta.

[Acquired by CleverTap]

Product Lead for Customer Data Platform, API and End-User Engagement teams. I owned the engagement platform for a mobile-first marketing cloud, driving growth, engagement, and retention across all channels for a product that had more MAUs than Twitter worldwide. Responsible for engaging almost 350M MAUs through omnichannel campaigns, sending around 3Bn messages/day across

Predictive Analytics in 3 Clicks - Making machine learning accessible to everyday end-user and helping them predict the future in minutes.
Helped with Product Strategy and GTM. Previously helped with initial MRR and guided the team in finding the right product-market fit and in making the product defensible.

YCombinator S'19
https://www.intersectlabs.io/

SaaS financial modeling and forecasting made simple. Developed a GTM strategy and guided the product launch. Helped the company validate the product-market fit, build distribution, find customers and fundraise.

YCombinator W'16

Led by customer empathy, significantly improved conversion (>25%): applied JTBD and value proposition design to implement a strategy based on understanding customer motivations, needs and aspirations. Built out the design sprint and in-person user testing program. This brought much-needed focus to the team and refined the product-market fit while significantly reducing required f

Product managed the data science platform for building data enriched applications. Collaborated with stakeholders and identified, prioritized and then executed on features.
Led goals planning (quarterly, long term), OKRs, iteration planning, closing meetings.
Developed strong external technology partnerships for the company.

Led the server-side engineering and data infrastructure teams. Hired, Tr

Directed projects, Built teams, Mentored and helped the professional growth of engineers.
Managed the data team including technical and people management, mentorship, planning and stabilized and transformed it into a first-class citizen in the company.

Vastly reduced the turnaround time for incident resolution, increased visibility and fulfilled aggressive SLAs with major US and International wir

Special Issue on: 'Pattern Languages - Addressing the Challenges', Volume 43, Issue 7, July 2013.

Enhanced the user interface and the overall navigational experience, Developed new functionality for the learning management suite of the enterprise product: My Success Plan - a fusion of the learning and performance management suites of the product, while working as a part of a large team distributed across the globe.

School of Computer Science, Institute for Software Research
*(Attended, Ph.D. Candidacy, did not finish).*

The Donald Beall-Rockwell Award for Engineering Accomplishment