Compensation Overview

About the Discovery team

The discovery team is focused on making it delightfully easy for users to find the startups they’re looking for. We source, transform and index terabytes of data, build models to make sense of the data, and build product experience to facilitate users actively and passively discovering startups at the right time. To learn more about the team:

• Explore Working with Sang to understand decision-making processes related to the engineering function.
• Check our your teammates Jimmy, Akshaya, Simant, and Gavin!
• Explore the Team Page to get acquainted with the rest of the company. 

The role

What you’ll do:

• Own our insights layer: build models and algorithms to generate first-party data. This will include using statistical and machine learning techniques, including LLMs, to generate derived insights as well as determine accurate values from error-prone sources (e.g. headcount information).
• Develop data products that improve the discoverability of startups in our database. Create and continually improve the similarity, relevance, and tagging algorithms that power our search engine.
• Use your knowledge and creativity to extract as much value out of our data as possible.
• Oversee general maintenance and health of data pipelines to ensure accurate and efficient transformations of our data.
• Collaborate with the team to devise product goals, outline milestones, and execute plans - achieving this with minimal guidance.

Role requirements:

• 7+ years in Data Science or Data Engineering, or 5+ years industry experience + PhD.
• Fluency in Python and SQL.
• Experience with backend libraries and tools like dbt and dagster, familiarity with web servers, and comfort with large data sets.
• Ability to work 3 times/week in our Brooklyn (Williamsburg) office.
• Proven track record of shipping major projects for a data-centric startup.

Compensation:

$185K - $250K Salary + Equity (flexible depending on the level)

Our stack

The Process

Here’s our interview process:

• (30 mins) Introduction Chat: Let’s discuss whether Harmonic is the right place for you. We’ll review your experience and allocate time for any questions you may have.
• (30 mins) Initial Technical Screen: A technical discussion where we deep dive into how you’d approach a few different problems. Don’t worry, this won’t be a LeetCode-style interview :)
• (~5 hours) Take-Home Exercise: We will send you a description of a challenge akin to ones you would face at Harmonic and ask you to come up with a creative solution. Understanding that schedules can be tight, you’ll have a 48-hour window to complete this at your convenience.
• Interview Day: To streamline the process and respect your time, we try to consolidate the following into one day:
  • (45 minutes each) Team interview: Meet with a member of our Product team to see how you would collaborate and Sang, our Head of Engineering, to make sure there is mutual culture fit.
  • (2.5 hours) Engineering Jam Session: Detailed discussion of the take-home to measure technical skills. This will involve coding with 2-3 engineers on our team.
• (45 min) Get to know Max, our CEO!
• (Async) Reference Checks.