Hi, I'm Noah Weinstein. I'm seeking a role in Product or Engineering — where I can work hard and make a meaningful impact.

I cofounded frontstep.ai, wore multiple hats as a TPM intern at SiPhox Health, and am currently a SWE intern at Flexcar.

Connect with me:

/beyond-work /lessons-learned

"Noah has an excellent work ethic and needs little to no external motivation. He finds himself compelled to think in terms of the broader picture, always considering the needs of the customer and the business. Rare among engineers, Noah is very charismatic. Looking forward to seeing where Noah will go in his career. "

Jordan Moradian

Growth Lead, SiPhox Health

Experience

Evenings + Weekends

Frontstep.ai

Co-founder

March 2025 - Present

Architected full-stack AI-powered lead qualification platform using Next.js 15, TypeScript, Prisma ORM with MongoDB, and layered service architecture, enabling property managers to automate 24/7 lead qualification workflows, regardless of lead source.
Integrated agentic flows with LangChain, OpenAI, Resend, and Twilio APIs for intelligent lead qualification, implementing WebSocket real-time notifications and automated SMS/email responses with custom prompt engineering for property management use cases.
Led product validation and pre-launch strategy through 20+ interviews, Apollo.io outreach campaigns, and a custom prospect scraper targeting potential users.
During private beta, frontstep delivered 4x higher lead qualification rate compared to manual workflows across 140+ leads

Next.js

React

PostHog

Apollo

LangChain

OpenAI

Flexcar

Software Engineering Co-op

July 2025 - Present

Not much yet...

Ruby on Rails

React

React Native

SiPhox Health

Technical Product Management Intern

May 2025 - June 2025

When tasked by Co-founder to investigate company ICP to optimize growth strategy and reduce churn, I built a customer analytics platform processing analyzing data across records across 8+ MongoDB collections, implementing cohort retention analysis tracking 30+ months of user behavior. Built interactive Streamlit dashboard with retention heatmaps and HTML export. Identified optimal customer profile and delivered actionable insights, used during Series B fundraise, board meetings, and growth strategy.
Built v0 of 'Try Sai' public demo page to convert non-customers and showcase AI capabilities before main product launch. Developed React frontend enabling users to test blood analysis interpretation without account creation. Shipped functional demo within 72hr deadline, driving acquisition funnel expansion.
Built comprehensive COGS analysis for 3PL renegotiation: Analyzed supplier agreement costs against operational data to build business case for reducing supplier agreements. Analysis directly informed price renegotiation strategy with third-party logistics providers, demonstrating impact on company margins.
Refactored growth metrics reporting system reducing runtime by 92% (60min → 5min): Built end-to-end automated analytics platform processing 60 days of data across 8+ sources (MongoDB, PostHog, Stripe, Impact.com, Meta Ads, Google Ads), with dynamic affiliate partner tracking and sophisticated attribution engine for 1000+ monthly new customers across 10+ marketing channels.
I also spent lunch breaks going door-to-door to potential B2B clients, delivering several warm leads to B2B Manager.

Python

MongoDB

Streamlit

React

Node.js

SiPhox Health

Technical Product Management Co-op

July 2024 - December 2024

Built automated growth reporting system reducing manual analysis time from hours to minutes: Developed end-to-end platform processing data across multiple sources (MongoDB, PostHog, Stripe, Google Ads, Meta Ads, Impact.com) to measure UTM-specific CAC, ROAS, AOV, and funnel performance across all marketing channels using Python, Pandas, and Streamlit. Enabled management to monitor growth metrics and optimize marketing spend from the conviencence of their phone.
Created growth analytics dashboard correlating user quiz data with AOV, conversion rate, and product choice to identify high-interest user segments. Analysis enabled marketing team to run targeted ad campaigns that reduced CAC by 15%, demonstrating direct impact on acquisition efficiency and marketing spend optimization.
Led comprehensive market analysis of 105 competitors, developing interactive Streamlit dashboard that transformed raw Pitchbook data into actionable insights. Delivered weekly strategic analyses to Chief of Staff on key players, industry dynamics, and market opportunities. Used to inform company strategy and investment decisions.
Designed and launched targeted email flows segmented by user behavior, utilizing A/B testing to refine messaging and performance. Achieved 2.3% improvement in email conversion rates through data-driven optimization.

Python

MongoDB

Streamlit

React

Node.js