Senior Software Engineer

About Discovery

The Discovery team sits at the core of Harmonic’s product and data engine. We ingest data from hundreds of fragmented and unstructured sources - ranging from APIs and raw HTML to legal filings and documents - and turn them into structured insights on startups, people, and investors.

We’re responsible not just for the quality, coverage, and freshness of this data, but also for how it’s served and surfaced to users across Harmonic.

That means building the pipelines that reconcile data at massive scale and powering the full-stack search experience that helps investors discover breakout companies before anyone else. From advanced LLM-based extraction to scalable search indexing and responsive APIs, our work directly fuels Harmonic’s most critical product surfaces - from grid-based search to AI research copilots.

To learn more about the team:

• Explore Working with Sang
• Check out your teammates Jimmy, Akshaya, Apoorva, Gavin, TJ, and Joe.
• Explore the Team Page. We’re a mix of ex-founders and seasoned engineers from top engineering institutions like Google, LinkedIn, Microsoft and Meta.

The role

In this role, you will:

• Architect and implement large-scale Python-based data pipelines that power Harmonic’s structured understanding of startups, people, and investments.
• Continue evolving our data extraction and reconciliation processes with dynamic agents
• Own data quality benchmarks across coverage, freshness, and accuracy, and identify new data sources and ingestion techniques that optimize for performance and quality.
• Work across the backend stack (databases, search indices and graphql APIs) to bring data to life in the product.
• Partner closely with AI/ML, Data Ops, and Product to hit quality and performance OKRs and ship new data products that directly drive revenue and user value.

Background we’re looking for:

• 6+ years of experience as a software engineer, with flexibility for exceptional candidates.
• Proven track record of building and maintaining large-scale data infrastructure, ideally in high-growth or startup environments.
• Strong product sense: the ability to reason about what data is valuable to extract, how it should be structured and served, and how end users will interact with it.
• Systems-level thinking: you’ve designed data models, chosen indexing strategies, and built serving paths optimized for both performance and user experience.

Experience we’d be particularly excited about:

• Background as a data engineer or full-stack engineer who’s spent time in the weeds wrangling raw, messy, real-world data into structured, useful, and reliable outputs.
• Experience with LLM-powered data extraction, search systems, or agentic workflows.
• Exposure to venture capital, private markets, or company intelligence data.

Pay

$180k-$220k Salary + Equity depending on the level

Our stack

The Process

Here’s our interview process:

1. Recruiter Screening: 20-30 mins
2. Technical Screening (System Design): 45 mins
3. Technical Screening (Coding): 2 hrs & behavioral interview with Head of Eng: 30 mins 
4. Chat with our CEO: 30 mins
5. References