Shivanshu Singh Email & Phone Number

California, United States

Oakland, Ca, Us

Built Human-like Smart Memory layer for AI - an API that helps you inject smart memory into your AI app to make it based in user's unique context, agentic and personalized, driving outstanding UX for users, improving model utility and massive savings for devs/ GTM.Launched an AI agent for people with ADHD, utilizing a constellation LLM architecture, Advanced RAG, Memory, Tool Calling and other state-of-the-art AI tech. Launched as mobile app with customers.Last but definitely not the least, passion projects: New dad in training to my awesome newborn daughter as the primary caregiver; 3 others in AI that got myself up-to-date and hands-on with the latest in AI tech.

Oakland, California, Us

Head of Global Risk & Fraud / ML Products, responsible for the Product, P&L, Commercialization, GTM Strategy, and Operations. 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.Led, managed and mentored a team of 8 senior of product leaders and senior managers of product, who executed on strategic roadmaps.Transformed a struggling product and team, turning it into the company's most lucrative and rapidly expanding product line in history. Built a flywheel of product, sales and growth for the business to rinse and repeat the formula for success. Built and maintained strong relationships with customers, partners, and industry influencers through regular communication and engagement. Continual thought leader and strategist, responsible for Core, Risk and ML product strategies.Built a high-caliber and thriving x-func team of top-tier product management, engineering, and operations leaders, elevating the craft and driving sustained success with precision, high ROI and happiness.Creatively solved data, market and ops challenges along the way, establishing defensible and differentiated Data and ML products. My team and our products powered trailblazers like Coinbase, Block(Square), Doordash, Instacart, Divvy, Klarna, Branch, Affirm, CapitalOnTap, Payfare, Twisto, Yonder, Fold, Mission Lane, Western Union, and so many more to innovate and drive growth, increase throughput, while taking on the right amount of risk for their business, AT SCALE.My work and profile were featured in many trade and other publications including WSJ, Pymnts, Money 20/20, Finextra, Businesswire, Seeking Alpha, This Week In Fintech, and more for leadership and innovation.

Oakland, California, Us

San Francisco, Ca, Us

[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 various channels.Strategically developed differentiated capability through partnerships, unlocking ~65% potential new ARR and elevated the company to the status of a coveted best-in-breed preferred partner. Spearheaded multi-team, multi-geo strategies, skillfully leading global cross-functional teams of engineers, designers, and PMs.Overhauled existing user engagement channels and built new OTT streaming media channels for the mobile MarTech platform while maintaining a marketer's ability to integrate user experiences with mobile devices and traditional media, driving a 20% messaging channel expansion that delivered 80% value.Secured strategic accounts by leading efforts for GDPR & ISO 27001.Leveraged the transformative Jobs-To-Be-Done methodology to intimately comprehend customer needs. Collaborated seamlessly across product, engineering, CS, marketing, sales teams, and the C-suite to drive product success.

San Diego, California, Us

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

Pleasant Hill, California, Us

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.

Worked on bringing data first analysis and evaluation to private company and startup financing. Took the idea from conception through iterative prototyping and customer discovery to validate the problem-solution and product-market fit. Conducted jobs-to-be-done investigation, built prototypes, conducted customer interviews, developed the product and signed on customers.As with any good customer discovery and validation process, we discovered that while this was brilliant and made the world a much better place, there wasn't a strong enough market fit at that time. I learned a lot and I hope to apply the learnings in future endeavors.

YCombinator W'16Led 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 features, costs and time-to-market by almost 50%! for the connected hardware-software-mobile product. Set vision, goals and built out a product and engineering strategy and roadmap. Synthesized customer feedback to identify and prioritize product features.Head of software product, design and engineering. Built and grew the product development team and aligned various functions in the company for high impact execution. Responsible for software product, design and engineering: hiring, goal setting, one on ones, performance reviews, etc. Architected a music data collecting system to first crawl and combine multiple sources of data to produce a unique dataset on sheet music playable in a karaoke style, then classified statistically and through user feedback for anomaly and error detection. Built in Python using AWS tech like Serverless Lambda, SNS, S3 etc.Built a system of microservices using Python, Flask, uWsgi, Nginx and a ployglot of data stores.Fostered a culture of learning and innovation.

Redwood City, Ca, Us

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, Trained and Mentored team members.Reduced the cycle time from months to minutes. Built the cloud platform for rapid iteration and delivery of software services and built out the necessary environments, deployment and configuration management to support continuous integration and engineering that worked across the organization.Oversaw, across multiple teams, the evolution from a makeshift, monolithic, unreliable backend system to a full fledged system of microservices, thereby increasing the observability, performance and quality of the backend services manifold and making the system as a whole much more scalable, reliable and deterministic.

Emeryville, Ca, Us

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 wireless carriers.Built a fast event-driven data pipeline, implemented a comprehensive Elastic and HDFS based multi-tenant log aggregation, search and monitoring solution supporting multiple large-scale production systems.Implemented a large scale Call Detail Record event processing system (hundreds of millions of events per day) crucial for an MDM product deployed through major US and International wireless carriers. Architected a scalability testing framework for the product. This included scale testing multiple webservices and other systems distributed over hundreds of machines. Built out the necessary environments to support continuous testing and delivery.Helped institute a learning culture as an effort to mitigate the effects of Conway's law at a rapidly growing company.I was recognized on multiple occasions for outstanding work and leadership.

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

Dublin, California, Us

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.

Doctor Of Philosophy (Ph.D.) [Candidate, Did Not Finish], Software Engineering

Master Of Science (M.S.), Software Engineering

Bachelor Of Technology (B.Tech.), Information & Communication Technology