Account Manager - Harmonic

Location: New York, NY

Work Model: In-person (5 days/week in office, 4 days considered)

Industry: Data / Signal Intelligence (B2B SaaS)

Compensation: $100K-$140K OTE (80/20 base/variable split)

About the Company

Our partner is a fast-growing data and signal intelligence platform serving investment and venture professionals. The company has scaled to roughly 60 people, with a high-performing account management team that has exceeded quota for the last six quarters. It is a rigorous, high-talent environment where the account management function emphasizes stable, relationship-driven growth.

The Opportunity

This is an early-career Account Manager role on a team of strong performers. You will manage and grow relationships with sophisticated customers, learning the product and the market deeply over time. The team values people who are sharp, hungry, and high-slope, with a track record of working hard and being outstanding in whatever they have done so far. Prior account management experience is not required; many strong candidates come from BDR roles or from associate positions at investment firms looking to move into account management. You will report to the head of the account management team.

Responsibilities

• Own and grow relationships with a portfolio of customers
• Drive retention and expansion across your accounts
• Learn the product and the data/investment landscape deeply to advise customers effectively
• Collaborate cross-functionally with product and operations teams
• Contribute to a team with a consistent record of exceeding quota

Requirements

• 1-3 years of professional experience, ideally at a startup or in the data/VC space
• Strong communicator who articulates themselves well
• At least three of the following: strong academic background, startup experience, athletic or competitive background, rigorous major, technical acumen
• Hungry, high-slope, and eager to grow into a top account manager
• Bonus: prior experience working with or alongside investment professionals or data products