Jessica Ng

At any given moment, the CEO of Imply is thinking about roadmap. The CFO is watching burn. The CRO is closing pipeline. The CPO is reading user research. The CCO is fielding a customer escalation. And Jessica Ng is the one person who has a clear view of all five tracks at once.

Since May 2020, she has served as Senior Executive Business Partner to Imply's entire C-suite - a title that undersells the actual scope. In a company of 180 people building some of the most demanding data infrastructure in the cloud market, executive operations isn't administrative overhead. It's a load-bearing function. Decisions move fast. Context evaporates. The difference between a well-run executive team and a chaotic one often comes down to a single person who holds the thread across every conversation.

Jessica is that person at Imply.

Imply isn't a typical enterprise software shop. It was founded by the original creators of Apache Druid - one of the most widely deployed open-source analytics databases in the world, running under the hood at Netflix (2 million events per second), Confluent (5 million+), and thousands of other data-intensive organizations. The company's flagship product, Imply Polaris, is a fully managed, cloud-native analytics platform built for sub-second queries on real-time streaming data. The engineering bar is unusually high. The customer base is unusually demanding.

In that environment, the executive team isn't just busy - it's busy doing things most companies haven't tried yet. Coordinating across that leadership table requires someone who understands the rhythm of a high-growth Series D startup, the technical vocabulary of data infrastructure, and the interpersonal dynamics of a team navigating rapid scale. Jessica has been doing exactly that since the company was still building its Series C momentum.

Her LinkedIn URL - jessicaheo - is a small artifact worth noting. It's a previous surname, unchanged since she registered the account, preserved in the URL while her professional identity moved forward. A quiet reminder that professional histories are rarely as linear as a title suggests. Before Imply, she brought executive operations experience from Walmart, Aconex, and Hyland Stephens Partners, plus early-career foundations in real estate operations with Coldwell Banker and the Women's Council of Realtors SF Chapter. Each stop added a different texture: enterprise scale, construction software, boutique professional services, Bay Area real estate.

San Francisco State University is where she built her academic foundation - a campus known for producing graduates who go straight into the fog and noise of the Bay Area's real industries rather than spending years in graduate theory. That seems to fit: Jessica's career is defined by proximity to the actual work, not distance from it.

The scale of what she manages daily is worth sitting with. At Imply, the CEO (Fangjin Yang), CFO (Tony Russo), CRO, CPO (Jennifer Palecki), and CCO (Pranav Parekh) are each running substantial organizations inside a company that has raised $215.3 million and is operating at $63 million in annual revenue. These aren't executives doing one thing. Each has a full team, a full agenda, and full external commitments. The coordination surface area is enormous.

The $100M Series D closed in May 2022 - exactly two years into Jessica's tenure. That round, led by significant institutional investors, came during a particularly intense period for data infrastructure companies, when the market was simultaneously expanding and contracting. Navigating that moment required an executive team that could move quickly and coherently. Someone had to make sure the five people at the top of that team could actually do that.

What makes the Senior Executive Business Partner role at a company like this different from a more traditional EA or chief of staff function is the technical context it requires. When the CPO is presenting a roadmap change, or the CFO is modeling a new revenue scenario, or the CRO is reviewing a major account, the person coordinating those conversations needs to follow the substance, not just the calendar. Jessica navigates all of it.

Career paths in executive operations don't always get the same narrative attention as the founders or engineers they support. The person running logistics for a major jazz performance rarely gets reviewed alongside the musicians. But the performance depends on them. Jessica's career is a version of that: consistent, precise, multi-industry, and oriented toward being indispensable to the people doing the visible work.

She's based in Burlingame, California - the peninsula town between San Francisco and the airport, which has a quiet logic for someone coordinating executives who travel frequently and need someone reachable at odd hours. The Bay Area geography here is as functional as it is incidental.

The story of Imply's growth - from the Apache Druid thesis to a fully commercialized platform with deep enterprise traction - has many authors. The technical ones get the headlines. Jessica Ng is one of the operational authors: less visible, equally present, and working at a scale that most professionals in her field never reach.

It's worth noting what this kind of role looks like from the outside versus the inside. From the outside: a title that spans five executives sounds like it might involve scheduling and travel. From the inside: it involves being the person who knows more about the state of the company's leadership at any given moment than almost anyone else in the building. That's not a scheduling job. That's a strategic nerve center role that happens to require extraordinary organizational precision.

She graduated from San Francisco State - a school with a campus overlooking the Pacific, a strong tradition of first-generation students, and an alumni network that runs deep into the Bay Area's professional fabric. From there to real estate operations, to enterprise software support, to Walmart, to Imply's Series D C-suite: the thread isn't obvious from a single vantage point. But it's consistent when read in sequence. Every stop required adapting to a different industry's pace and vocabulary while doing the same core thing: making sure the people at the top could do their jobs without their support function becoming a liability.

At Imply, with Apache Druid processing millions of events per second and the company scaling toward its next chapter, that function has never mattered more.