Product Growth Manager

Mega is an AI-powered growth engine built to replace the traditional marketing agency for small and mid-sized businesses. Instead of selling software that owners have to learn and operate, Mega deploys a network of specialized AI agents — SEO & GEO, Paid Ads, Website, Conversion — that do the actual work: keyword research, content production, campaign management, technical fixes, and reporting. Customers feel like they've hired a high-quality growth team, but it runs as software.

Founded by a team that built the underlying AI tooling to supercharge their own growth (after starting out building a video game company), Mega pivoted hard once that internal tooling started outperforming anything on the market. The bet paid off: Mega is now trusted by 1,000+ SMBs, has been featured in Forbes, The Wall Street Journal, Fortune, Business Insider, and Axios, and closed an $11.5M Series A in March 2026 led by Goodwater Capital, with participation from Andreessen Horowitz, Atreides, SignalFire, and Kearny Jackson.

The commercial team is scaling fast to match — Mega is targeting roughly 50 new hires over the next six months, and this hire is part of that push.

Highlights

• HQ in Brooklyn, NY with a growing office in Montreal, QC

• $11.5M Series A (March 2026) led by Goodwater Capital, with a16z, Atreides, SignalFire, Kearny Jackson and Valor Equity participating

• Board includes Andrew Chen (a16z), Vivek Subramanian (Goodwater) and Gavin Baker (Atreides)

• Angel roster includes Dharmesh Shah (HubSpot co-founder), Claire Hughes Johnson (Stripe), and WNBA/NBA investors including Diana Taurasi, Breanna Stewart, Kelsey Plum, Nneka Ogwumike and JaVale McGee

• Series A capital is going directly into product and GTM — including a sales ops agent for lead qualification and appointment setting

• Featured in Forbes, WSJ, Fortune, Business Insider, and Axios

• Trusted by 1,000+ small and medium-sized businesses

• Nearly the entire team to date has been built through referrals — this is one of the company's first pushes into external hiring channels

• On average, customers grow 20% faster with Mega

About the Role

Mega is replacing traditional account management with something new. AI already answers 90% of customer emails and will soon handle half of customer calls, leaving the work that needs a smart human.

As a Product Growth Manager, you own a book of ~200 customers. You’re their main point of contact, the person who solves their problems and helps them get full value from Mega. Half your time is spent with customers. The other half is spent solving problems, working with the product team, and often building the fix yourself with tools like Claude Code and Codex.

The problems are usually new, so we’re not looking for ticket managers. We want systems thinkers who get to the root of an issue and fix it for good.

Be the customer’s main point of contact:

• Own a book of ~200 customers and be their go-to human at Mega

• Get to know their business well enough to spot problems before they raise them

• Run regular check-ins and keep customers confident in the product and the relationship

• Pick up customers from the moment they sign (founders are CC’d on every intro; customer closeness is part of the culture)

Solve customer problems, often yourself:

• Take problems all the way to the root rather than patching symptoms

• Build solutions directly using AI coding tools. Example: a customer wants a new metric in their dashboard, so you build it

• Work with the product team when a problem needs a bigger fix

• Handle problems no one at Mega has seen before, which is most of them

Find the patterns across your book:

• Spot recurring issues and needs across your 200 customers

• Turn those patterns into bigger solutions that help many customers at once

• Feed what you’re seeing directly into Mega’s product roadmap

Grow your accounts

• Help customers adopt Mega’s full suite of products

• Own net revenue retention for your book: keep customers, grow them, prove value

• Upsell by solving real problems, not by pitching

Automate your own job:

• Anything repetitive or low-value, automate it

• Continuously reduce the manual work in your book so you can spend time where it matters

• Help shape how Mega’s customer function scales with AI

Build toward product:

• Contribute to the product as part of your day-to-day

• Be first in line when Mega launches new agents. Lucas’s example: two PGMs given an accounting agent to build and launch from scratch

• Grow into a full-time product and engineering role over time

What a typical week looks like:

• ~50% customer time: calls, check-ins, onboarding, expansion conversations

• ~50% problem solving: building fixes, scoping product requests, automating workflows

• Constant context-switching between customer conversations and hands-on building

• Close collaboration with product and engineering

• High ownership, low hand-holding

About You

This role suits someone who sees a customer’s problem as a puzzle worth solving properly. You’re sharp, you pick things up fast without a playbook, and you’d rather fix the cause than patch the symptom. Long term, you want to build product.

• Background in management or strategy consulting, investment banking, or a generalist role at a fast-growing startup (BizOps, strategy and ops, chief of staff, founder’s associate)

• Systems and first-principles thinker who solves problems at the root so they stay solved

• Clear communicator who earns customer trust quickly and can be the main point of contact for ~200 accounts

• Strong work ethic and genuinely up for the customer-facing grind: about half your week is calls, check-ins, and expansion conversations

• Comfortable owning a lot at once, prioritizing well, and switching between customers and hands-on building

• Genuinely wants to move into product over time

• Montreal-based

• Fluent in English

Bonus:

• Already comfortable with AI coding tools like Claude Code, Codex, or Cursor

• Has built something on your own: a side project, an internal tool, an automation

• Experience growing accounts by solving real problems rather than pitching

The Extras that Matter

• Comprehensive health coverage

• Real career trajectory: this is the first seat in line to join the future product team.

• Direct access to founders and sales leadership — no layers, fast feedback, weekly wins

• A product with defensible ROI, backed by a16z, Goodwater and Valor, in a market that's genuinely underserved

• Full-time, in-office culture in Montreal — fast-paced, high-energy, built for hustle

• Quarterly bonus of $5,000 tied to net revenue retention (NRR)

Compensation:

• Base Salary: $120,000 -$130,000

• On-Target Earnings (OTE): $140,000 - $150,000