AI Product Engineer

Siddartha Posam

I have spent 10+ years at PayPal moving between engineering, product, GTM, and customer insight work. These days I am focused on AI products: using LLMs, retrieval, agents, and automation to make complex workflows easier for teams and customers to act on.

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Siddartha Posam Siddartha Posam
~40%
Planning time saved
LLM workflow assistant
90%
Research time cut
Sales enablement tooling
99.99%
Platform availability
Credit API gateway
2 days
Merchant mapping
Down from 3 months
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Experience

AI Product Engineer Current
PayPal Austin, TX
Jan 2025 - Present
  • Helping BNPL product teams make releases easier to reason about, with clearer quality goals, release-readiness signals, and less last-minute ambiguity.
  • Built an LLM-powered workflow assistant that turns PRDs into planning and testing artifacts, giving 8 product teams a faster starting point for delivery conversations.
  • Led practical GenAI enablement for product and engineering peers, focused on prompts, context, tools, and the day-to-day use cases that actually save time.
Product Manager, Technology Leadership Program
PayPal Global · London, UK
Jan 2023 - Jan 2025
  • Rotated through business development, enterprise sales, product marketing, and customer insights, which gave me a broader view of how products actually win in market.
  • Used AI-assisted analysis and automation to speed up merchant research, identify recurring payment issues, and shorten campaign setup work.
  • Partnered across sales, product, marketing, and integration teams on enterprise merchant work including Michael Kors, Honey, Venmo, and PayPal products.
BD

Business Development

Worked on bank-linking friction and merchant payment performance.

  • Add-bank conversion
  • Merchant auth issues
  • AI-assisted pattern finding
BD
ES

Enterprise Sales

Helped enterprise teams move faster with better research and coordination.

  • Michael Kors integration
  • Merchant proof points
  • 90% faster research
ES
PM

Product Marketing

Turned messy merchant identity work into repeatable campaign operations.

  • 2x ad revenue
  • Honey-PayPal mapping
  • 3 months to 2 days
PM
CI

Customer Insights

Used customer research to help product teams make clearer roadmap calls.

  • Venmo and PayPal research
  • KPI-backed recommendations
  • Customer pain points
CI
← Swipe or click arrows to explore rotations →
Product Manager
PayPal Austin, TX
Jul 2020 - Dec 2022
  • Owned credit product roadmap work tied to engagement and revenue, including launches that helped drive a 15% lift in product performance.
  • Partnered with engineering to ship a high-availability API gateway for PayPal Credit in 6 months, giving the platform a cleaner single entry point.
  • Balanced product goals with platform reliability, early failure detection, and the realities of shipping financial products at scale.
Software Engineer
PayPal Baltimore, MD
May 2014 - Jun 2020
  • Built backend systems and automation for PayPal Credit, with a focus on release confidence in high-volume financial workflows.
  • Created reusable test frameworks that improved coverage by more than 20% and cut manual QA effort by over 50%.
  • Mentored engineers through architecture reviews, code reviews, test plans, and shared engineering practices.

Projects & Recognition

2nd Place · NVIDIA DGX Spark Frontier Hackathon

Real Estate Vision Editor

Fine-tuned a vision model for real estate imagery and pushed the result into a mobile editing flow for fast edge inference.

1st Place · AkashML AI Agent Build Night

Ghostwriter

Built an autonomous coding agent that triages GitHub issues, writes fixes, runs tests, opens pull requests, and scores confidence.

2nd Place · Decentralized Endgame Hackathon

WhatsApp Trading Workflow

Prototyped a WhatsApp-based trading assistant that combined MCP, social signals, and live market context for real-time analysis.

Applied ML

Recommendation System

Built a collaborative-filtering book recommender to explore personalization, ranking, and preference patterns.

Research

HTM Image Classification

Implemented a Hierarchical Temporal Memory model on MNIST while exploring biologically inspired approaches to pattern recognition.

Skills

AI Product
LLM appsRAGAgentic workflowsPrompt designContext engineeringEvals
Product Strategy
RoadmapsCustomer discoveryGTMExperimentationStakeholder alignment
Engineering
PythonJavaTypeScriptNode.jsREST APIsSQL
Systems
AWSGCPDockerCI/CDMicroservicesObservability
Leadership
Executive communicationMentorshipChange managementAI adoption

Education

2017
HBX CORe
Harvard Business School Online
Passed with honors · Business Analytics, Economics, Financial Accounting
2011 - 2013
MS Computer Engineering
University of Memphis Memphis, TN
Computer Intelligence Lab · Machine Learning minor · AI, Neural Networks, Pattern Recognition
2007 - 2011
BTech Electronics & Computer Engineering
JNTU Hyderabad Hyderabad, India
In-plant training certificate from Hindustan Aeronautics Limited

Let's Connect

I am interested in roles where AI, product judgment, and hands-on engineering come together to solve messy business workflows.

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