Engineering Manager, Growth

Gamma is hiring an Engineering Manager, Growth in San Francisco, United States. Level rates it ; you can apply on Gamma.

Level's read on this job

On Level's scale, this role is Uses AI ●●○○: an ordinary role that requires AI tools.
Tools and skills the posting cites include team management, monetization and growth engineering.
Level classifies it as a lead role.
Level lists 19 other open roles at Gamma.

AI in this role

Lead engineering teams scaling monetization platforms, AI usage tracking, and self-serve growth experiences at Gamma.

team-managementmonetizationgrowth-engineeringpaymentsproduct-led-growth

About the role

The Growth team owns two areas that together determine how Gamma grows and how that growth turns into a business.

Monetization builds the shared systems that power how Gamma monetizes. The impact here is multiplicative: the platforms you build unlock growth everywhere. These systems turn AI innovation into repeatable, scalable growth.

Self-serve growth works directly on user-facing experiences: onboarding, activation, discovery, and lifecycle flows. This team's work directly shapes how users discover, adopt, stick with, and become Gamma champions.

Our team has a strong in-office culture and works in person 4–5 days per week in San Francisco. We love working together to stay creative and connected, with flexibility to work from home when focus matters most.

What you'll do

As the engineering leader across both areas, you'll:

Lead and scale the engineering team across both monetization infrastructure and product-led growth
Own the monetization platform: payment integrations, subscription management, billing, AI usage tracking and crediting, pricing systems
Own the growth surfaces: onboarding and activation flows, in-product education and discovery, lifecycle experiences, notifications, and messaging infrastructure
Collaborate cross-functionally across product, design, data, and other engineering teams. Partner on the full funnel: where users drop off, what the onboarding experience should look like, and where to focus next
Build and run a team that can move fast on experiments while also building durable shared systems
Mentor, coach, and develop engineers on the team
Contribute to broader engineering and EPD leadership by proactively identifying opportunities or misalignment and addressing them

What you'll bring

5+ years experience as a senior+ engineer, 2+ years managing and leading high performing teams
Experience leading growth engineering, with a track record of moving activation/retention/conversion metrics
Experience with monetization or payments infrastructure (subscriptions, billing, app store payments, pricing systems)
Thinks deeply about product experiences and can look at a funnel and form a point of view on what to change
High cross-functional fluency
Comfortable pushing into ambiguity to find and drive the next big growth bets, even when the path isn't fully defined
Hands-on and technical enough to evaluate architecture decisions, guide the team’s technical direction, and review code, build prototypes, or jump in as needed

Compensation range:

The base salary for this full-time position, which spans multiple internal levels depending on qualifications, ranges between $250K - $325K plus benefits & equity.

Final offer amounts are determined by multiple factors, including but not limited to experience and expertise in the requirements listed above.

If you're interested in this role but you don't meet every requirement, we encourage you to apply anyway! We're always excited about meeting great people.

How we rate this

Engineering Manager, Growth at Gamma rates 45 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.

Classification

Uses AI. An ordinary role that requires AI tools.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Engineering Manager, Growth is an open job at Gamma.
Level rates this role AI Level 2 of 4: Uses AI.
The role is based in San Francisco.
The job was posted on July 23, 2026.
Seniority: lead.
Applications are handled by Gamma. Apply on Gamma

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Team ManagementMonetizationGrowth EngineeringPaymentsProduct Led Growth

Questions you could be asked

Tell me about a project where team management was part of your work. What did you do?
Tell me about a project where monetization was part of your work. What did you do?
Tell me about a project where growth engineering was part of your work. What did you do?
Tell me about a project where payments was part of your work. What did you do?
Tell me about a project where product led growth was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Team Management, Monetization, Growth Engineering, Payments, and Product Led Growth. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.

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