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Hien P.
AI, Data, and Infrastructure Marketing Leader| Building Timescale Product Marketing | Postgres FOR EVERYTHING | ex-Amplitude, ex-Pinecone
Hien P. is an experienced product marketing professional based in the Bay Area, known for leading groundbreaking initiatives in various tech organizations.
During Hien's tenure at Pinecone, they spearheaded the launch of a game-changing serverless architecture and introduced the Pinecone Assistant, elevating the company's product offerings significantly.
At Amplitude, Hien excelled in empowering product and marketing teams for product-led growth, establishing the brand as a pivotal tool in product experimentation and analytics.
With a background in International Economics and Classics from UC San Diego and UC Santa Barbara, Hien leverages a diverse skill set in their marketing roles.
Hien has held key positions at renowned companies like Timescale, Pinecone, and Amplitude, showcasing a strong ability to drive growth through strategic marketing initiatives.
Outside of work, Hien enjoys residing in the Bay Area with their two dogs and has a talent for cooking a delicious roasted chicken.
Highlights
Politics aside. Not a post that supports any party.
But damn, the current messaging by Democrats is a masterclass in counter positioning.
Over the past decade, we have witnessed a significant shift in developers' database preferences. What was once an explosion of diverse databases has now given way to a quest for simplicity. Developers now seek a handful of databases that can handle most of their workloads rather than managing many.
One aspect that has always impressed me about Postgres is its commitment to innovation, particularly through its extension library. Some may question its performance, but as the founder of DuckDB rightly pointed out, performance is an area where most databases will improve/converge over time. Therefore, the key is to pick a database at the forefront of innovation or, as he called it, the "fastest rate of change/innovation" that delivers the best dev experience.
Postgres-based dbs are those databases. Exact quote from Jordan at DuckDB:
"The broader point is that when you choose a database, the database is not frozen at that point in time. You’ll likely end up sticking with your decision for several years. The performance and features of your database are going to change a lot between now and next year, and even more so between now and five years from now.
A very important variable, then, is not just what the database can do now, but what it will be able to do a year in the future. If a bug in a database causes you to choose a competitor, that’s going to seem like a silly reason in just a few weeks if that bug has been fixed. This holds true with performance; if two different databases are improving at different rates, you’re most likely better off choosing the faster moving one. Your future self will thank you." (read here https://lnkd.in/g2QhD_VG)
That leads to a quick life update: I've been impressed by the team at Timescale, which started as a time series database built on Postgres and is now moving towards general relational database and AI workloads. In the last year alone, they pushed out two new Postgres extensions for AI: pgvectorscale and pgai on top of pgvector to help developers with scale and performance using a vector store built on top of Postgres. Again, pick the db that moves the fastest in innovation. That's why I have joined Timescale to lead product marketing.
Aside from their pace of innovation, I have known 🐯 Ajay Kulkarni and 🐯 Michael Freedman for over eight years and have been impressed by their leadership. Their servant leadership style is what has drawn me to Timescale.
So stay tuned for more amazing things from the Timescale DB team, which now includes me.
cc. Ramon Guiu, Todd Gracon, and Emily Kim
