Senior Software Engineer - Backend

Harmonic; New York (NY); On-site; USD 180,000 - 220,000; Full time

Job summary

Harmonic, a startup discovery engine in New York, is seeking a senior software engineer to design and scale data infrastructure that powers how we map startups, people, and investments. You will own end-to-end data pipelines, ensure data quality, and push forward LLM-powered extraction and agentic workflows.

Work closely with backend, databases, and product teams to ship new data products that improve signal for investors and GTM teams alike. This is a high-impact role at a fast-growing company.

Qualifications

• 6+ years of experience as a software engineer with data infra experience.
• Ability to design scalable data models and serving paths.
• Strong sense of product value from data and a customer focus.

Responsibilities

• Architect and run large-scale pipelines powering Harmonic's data understanding.
• Own data quality, coverage, freshness, and ingestion techniques.
• Advance dynamic, LLM-powered agentic workflows and evaluations.
• Collaborate across backend, databases, search indices, and APIs to surface data.
• Partner with GTM, Product, Design, and other teams to ship data products.

Skills

Data engineering

Data pipelines

Systems design

Product thinking

LLM-powered extraction

Tools

GraphQL

SQL

Databases

Job description

About Us

Harmonic is the startup discovery engine.

Harmonic is the startup discovery engine.

It pains us to see great startup opportunities consistently go unfunded not because of lack of talent, but lack of signal.

We're fixing that by mapping the entire startup landscape and building the tools that put the right companies in front of the right people at the right time. Investors, corporate development, and GTM teams use us to find breakout companies before they're obvious and turn that discovery into action. Whether that's a check, an acquisition, partnership or won business.

We're growing revenue at a rate of 100%+ annually, backed by $30M from Craft, Floodgate, and Sozo Ventures. We're committed to ensuring hundreds of billions of dollars find the right founders, so the innovations that matters most flourish. If that resonates, let's talk.

About The Team

This team sits at the epicenter of everything Harmonic builds. We ingest, reconcile, and continuously improve the data that underpins how we understand startups, people, and investors: funding activity, company data, and people data, three areas the business depends on more with every new market we enter.

We're not just pipeline builders. When new data needs a home in the product, whether that's a new field in the console or an entirely new surface, this team builds it. Real ownership over both the data and the product it becomes: that's what makes this team exciting.

Who You Are

• You have 6+ years of experience as a software engineer and a track record of building data infrastructure at scale, ideally somewhere that was growing fast enough to break things.
• You have real product sense. You can reason about what data is actually worth extracting, how it should be structured and served, and how someone will use it once it's in front of them.
• You think in systems. You've designed data models, picked indexing strategies, and built serving paths that hold up under both load and a user's patience.
• You want to build product, not just plumbing. Shipping a feature should excite you as much as the infrastructure underneath it, and you think about the customer first, not the schema.
• You've spent real time wrangling raw, messy, real-world data into something structured and reliable, whether you came up through data engineering or full-stack.
• Bonus points if you've worked with LLM-powered extraction, search systems, or agentic workflows, or spent time around venture capital, private markets, or company intelligence data.

What You'll Do

• Architect and run the large-scale pipelines that power how Harmonic understands startups, people, and investments.
• Own our data quality bar (coverage, freshness, accuracy) and go find the new sources and ingestion techniques that raise it.
• Keep pushing our extraction and reconciliation work toward dynamic, LLM-powered agentic workflows, and build the evals that prove they're working.
• Work across the backend, databases, search indices, GraphQL APIs, to bring data to life in the product, and build new features or surfaces when the data calls for them.
• Partner with GTM, Product, Design, and other teams as we ship new data products for customers.

Compensation Range: $180K - $220K