Full Stack Product Engineer (AI), Search

Harmonic
New YorkPosted 4 March 2026

Job Description

<div class="content-intro"><h2><strong>About us</strong></h2> <p>Harmonic is the startup discovery engine.</p> <p>It pains us to see great startup opportunities consistently go undiscovered. So, we dedicated ourselves to mapping out the startup landscape and building the tools that ensure the most promising founders get found and funded.</p> <p>The world's largest and most prolific venture capital firms (as well as the up-and-comers you haven’t heard of yet) rely on us to find and invest in the next Google, AirBnB, Uber, Stripe, and Anduril. We play a crucial part in ensuring hundreds of billions of dollars get routed efficiently and that the innovations the world would most benefit from materialize.</p> <p>We’re growing revenue at a rate of 100%+ annually and already power thousands of investors' workflow. Backed by $30M from investors like Craft, Floodgate, and Sozo Ventures, we want to power the entire investment workflow from discovery to term sheet. If you resonate with <a href="https://www.harmonic.ai/careers">our values</a> and want to fundamentally evolve how venture capital markets work, come join us.</p></div><h2>About Discovery Scout</h2> <p>The Discovery Scout (Search) team sits at the core of Harmonic’s product and data engine. We make it possible to search, research, analyze, compare, and evaluate across the entire universe of startups (we track tens of millions of companies, hundreds of millions of operators and, tens of thousands of investors along with their deal activity, and counting). We source and ingest data from first-, second- and third-party sources, including hundreds of fragmented and unstructured sources, and turn them into structured insights and searchable indices. Recently, we built the industry leading <a href="http://blog.langchain.com/customers-harmonic/">agentic layer for startup search and research</a>, that’s unlocking new paradigms for VCs to make sense of this vast amount of data on startups and automate critical tasks in their sourcing and diligence workflows.</p> <p>We’re in the middle of a massive platform shift where AI and LLMs are transforming what "software" is. Agentic product- and user-experience patterns will be spelled out in playbooks before long – and we’re building those playbooks, not waiting for them. This includes conversational interfaces, deep research, dynamic agentic frameworks purpose built for venture, and AI-first product workflows. We’re looking for folks that want to help redefine software and push on this frontier with deep curiosity, an insatiable growth mindset, and high agency.</p> <p>To learn more about the team:</p> <ul> <li>Explore <a href="https://www.notion.so/Working-with-Sang-60672c4041a04021b8539f8e1d4d43ef?pvs=21">Working with Sang</a></li> <li>Check out your Scout focused teammates <a href="https://www.linkedin.com/in/austinberke/">Austin</a>, <a href="https://www.linkedin.com/in/yesh-c/">Yesh</a>, and <a href="https://www.linkedin.com/in/knguyen1794/">Kelvin</a></li> <li>Explore the <a href="https://www.harmonic.ai/team">Team Page</a>. We’re a mix of ex-founders and seasoned engineers from top engineering institutions like Google, LinkedIn, Microsoft and Meta.</li> </ul> <h2>The role</h2> <p><strong>Scope of the role:</strong></p> <ul> <li><strong>Build AI-fueled products for VC:</strong> We have a tight-knit, fast-paced team working across the stack on the cutting edge of AI frameworks, LLM models, and the next-gen of AI-first product experiences. <ul> <li>You’ll build and ship end-to-end AI capabilities – from core features in our LangGraph backend, to critical user journeys in the frontend React UI.</li> </ul> </li> <li><strong>Agentic experimentation evaluation:</strong> The industry is rapidly evolving, and new models and frameworks emerge weekly. We’ve built systems and evaluation frameworks that enable us to quickly determine whether new models perform better in pockets of the product, and are relentless about experimenting with new framewor ... (truncated, view full listing at source)