Pranjal P.

Co-Founder

Noida, Uttar Pradesh, India5 yrs 6 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Led the launch of industry-first GenAI features.
Secured 11 patents in AI SaaS.
Developed a privacy-first AI assistant recognized for social impact.

Stackforce AI infers this person is a Product Manager specializing in AI-driven SaaS solutions.

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Skills

Core Skills

Product ManagementGenerative AiProduct StrategyMarket ResearchAlgorithm DevelopmentCloud ComputingProduct DevelopmentAi Development

Other Skills

Algorithm DesignAlgorithmsAnalytical SkillsArtificial Intelligence (AI)Artificial Neural NetworksBusiness InsightsBusiness StrategyBusiness-to-Business (B2B)Causal MLCompetitive AnalysisComputer ScienceCore JavaDeep LearningEngineeringEnterprise JavaBeans (EJB)

About

I’m a Product Manager at Adobe, driving innovation at the intersection of AI and Enterprise SaaS. Currently leading strategic modules for Adobe Real-Time CDP (RTCDP), I’ve previously shaped the GenAI product strategy across Adobe Experience Cloud, shipping industry-first features for Marketo Engage and Experience Manager Assets. With experience spanning AEM, AEP, AJO, and Marketo, I’ve built 0→1 AI capabilities martech space. I hold 10 patents (3 granted) in AI SaaS and have a proven track record of high-impact product delivery. Outside of product, I enjoy hackathons and geeking out over tech.

Experience

5 yrs 6 mos

Total Experience

2 yrs 9 mos

Average Tenure

5 yrs

Current Experience

Adobe

2 roles

Product Manager

May 2021 – Present · 5 yrs

As a Product Manager at Adobe, I drive strategy, development, and go-to-market for RTCDP, a $XXXM+ ARR product in the Adobe Experience Cloud portfolio.
On the platform side, I lead pricing revamps, usage and observability improvements, and edge-side platform enhancements to deliver sub-millisecond personalization at global scale, along with overseeing key modules handling petabytes of data.
On the AI side, I have spearheaded the launch of three industry-first GenAI features—including Adobe Experience Cloud’s most-used AI capability—by commercializing cutting-edge research in NLP, computer vision, and reinforcement learning. My AI work has resulted in 11 patents (3 granted, 8 filed) and multiple global product rollouts.

PlatformUser Experience (UX)Product Lifecycle ManagementGenerative AIProduct StrategySoftware as a Service (SaaS)+4

Product Management Intern

Apr 2020 – Jun 2020 · 2 mos

As a Product Manager Intern at Adobe, I worked in the MDSR Lab to transform an early-stage Causal ML research concept into a production-ready feature for Adobe Journey Optimizer. I co-developed a model capable of simulating buyer behavior with record accuracy, conducted market and financial analysis to establish product–market fit, and created the go-to-market and rollout plan.
I joined full time to continue building this feature. The feature was one of only six releases showcased in the Adobe Summit Keynote in Las Vegas in 2023.

Market AnalysisProduct ManagementCausal MLMarket Research

Capital one

Software Engineering Intern

May 2018 – Jul 2018 · 2 mos

As a Data Engineer Intern at Capital One, I was part of the Transpiler team responsible for automating the migration of legacy SQL code to modern cloud-based systems.
I developed an algorithm that translated 5,000+ lines of SQL queries to Snowflake 3x faster while reducing costs by 40%. This work helped accelerate the shift from legacy infrastructure to cloud, improving scalability and performance.

Algorithm DevelopmentSQLCloud Computing

Project asha

Co-Founder and Chief Product Officer

Sep 2017 – Mar 2018 · 6 mos · India · On-site

Led the end-to-end journey of building a privacy-first AI assistant designed to identify and flag misinformation on messaging platforms like WhatsApp. In just six months, we developed and deployed a functional pilot on AWS, leveraging advanced NLP techniques to enable in-context, guided user actions within chats—envisioning agent-like capabilities well before the GenAI era. The project secured 1st Runner-Up at the Facebook Digital Challenge 2017, received in-kind AWS credits from Facebook for its social-impact potential, and was successfully transferred to a public-sector partner for deployment in nationwide digital safety programs (NDA signed).

Natural Language Processing (NLP)AI DevelopmentProduct Development