Maya Chen hello@mayachen.work

Product Marketing · B2B SaaS · New York

I turn complex products
into clear buyer decisions.

I'm a product marketer who lives at the intersection of buyer psychology and business strategy. Over six years at B2B SaaS companies -- from a 30-person startup to a 250-person Series C -- I've learned that the best marketing doesn't persuade. It clarifies.

Maya Chen

Berkeley '18 · Haas School of Business

Pragmatic Certified PMC III

Reforge Growth Series alum

Most companies have a product problem they think is a marketing problem. My job is figuring out which one it actually is -- then fixing the right thing.

What I do

Positioning & narrative

I figure out what makes your product meaningfully different -- not through brainstorming sessions, but through buyer interviews, competitive analysis, and honest assessment of where you actually win.

Go-to-market strategy

Launches, segment expansions, pricing changes -- I plan the rollout, build the assets, train the team, and measure what happened. Repeatable playbooks, not heroic one-offs.

Sales & competitive intelligence

Battlecards, win/loss programs, enablement libraries. I make sure your reps know what they're selling, who they're selling against, and why they should win.

Stories from the work

Meridian AI · 2023

The enterprise pivot nobody believed in

Meridian had built its business on mid-market speed-to-value. When leadership said "we're going enterprise," the existing messaging fell flat. Enterprise buyers wanted to hear about governance, compliance, and integration depth -- things we'd never talked about publicly.

I started with 12 prospect interviews and 5 conversations with churned enterprise trials. The pattern was clear: we weren't losing on product -- we were losing on narrative. I rebuilt the positioning from the ground up. New pitch deck, new website hero, new battlecard, two enablement sessions. The sales team said the new deck "completely changed the first-call dynamic."

$3.8M

pipeline in 9 months

+28%

demo conversion

2

Gartner/Forrester inclusions

Vantage Cloud · 2021

The pricing model everyone was afraid to touch

Vantage Cloud was on per-seat pricing and it was killing deals from both directions. Large security teams couldn't justify the total cost. Small teams felt they were subsidizing features they didn't use. The sales cycle had ballooned to 68 days.

I spent three weeks in the data -- 18 months of usage patterns, 6 competitor pricing audits, and a financial model that showed usage-based billing would actually expand revenue. The tricky part was migration: 180 existing customers needed to feel good about the change, not ambushed by it. I designed a 60-day parallel period and wrote every piece of migration communication myself.

+18%

average deal size

-11 days

sales cycle

2 of 180

customers downgraded

Meridian AI · 2025

Getting marketing to actually row in one direction

Content, demand gen, and product marketing were all running campaigns independently. Performance was inconsistent because nobody was coordinating. I mapped the workflow, found 4 breakdown points where teams diverged, and built a campaign playbook that required shared KPIs, unified messaging, and a coordinated timeline.

The pilot was the Q3 "Data Intelligence Maturity" campaign. I wrote the anchor whitepaper, planned the webinar series, created nurture sequences, and ran weekly cross-functional standups for 8 weeks. The CMO said it "finally got the team rowing in one direction." Now it's the standard for every campaign.

1,200+

MQLs generated

$38

CPL (42% below target)

$1.4M

pipeline attributed

Beacon Analytics · 2018

First hire, first everything

I was Beacon's first marketing hire. The founders had been doing their own positioning -- inconsistent messaging, no buyer personas, website copy from the seed round that hadn't been updated. Everything needed to be built.

I started with 40+ customer and prospect interviews to understand who actually cared about this product and why. Built the buyer personas, rewrote the website, created the first pitch deck, set up HubSpot, and launched a content program that eventually became the company's #2 lead source. The messaging framework I wrote in those first three weeks was still being used when I left.

300+

signups in 60 days

443%

organic traffic growth

$180K

first-year revenue

Where I've been

2023 -- present

Meridian AI · Senior PMM

Series C AI data platform. Enterprise GTM, competitive intelligence, campaign strategy.

2020 -- 2022

Vantage Cloud · PMM

Series B cloud security. Product launches, pricing strategy, sales enablement, advocacy.

2018 -- 2020

Beacon Analytics · Associate PMM

Seed-stage analytics for e-commerce. First marketing hire. Built everything from scratch.

What I'm thinking about

Reading

Currently re-reading April Dunford's Obviously Awesome and thinking about how category design applies to AI infrastructure products. Most of them are positioning against each other instead of defining a new frame. The ones that win will be the ones that name the problem differently.

Writing

Collecting notes for a piece on why most competitive intel programs fail at distribution, not collection. Everyone builds the battlecard. Nobody builds the system that gets reps to actually open it at the right moment in the deal cycle.

Get in touch

I'm exploring what's next -- ideally a senior PMM or Head of Product Marketing role at a B2B company that has a genuinely differentiated product and wants to get its story right. Open to NYC, SF, Seattle, or remote.

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