Engineering Manager, Growth
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- Stated location
- San Francisco, California
- Listing updated on our site
- 14 Nov 2026, 08:01 EAT
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| Employer | Verified Direct Employer (Protected) |
|---|---|
| Location | San Francisco, California |
| Remote type | Remote |
| Posted | 2mo ago |
| Application Status | Pro Membership & Free Pass Access |
About this role (Direct Employer Details Protected)
About [Employer]
Software runs the world and the pace is faster than ever. [Employer] helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building.
Trusted by 200,000+ organizations, [Employer] is today’s application monitoring standard and our team is building its AI-native future.
About the role
[Employer] is looking for an Engineering Manager to lead our Growth team (internally called "Value Discovery") and help expand our product-led business by helping customers discover and get the most out of our platform.
At [Employer], we do growth with an explicit bias for customer value. Our experiments are rooted in strong product sense and empathy for developers, not conversion pressure. We never surprise developers with new charges or push features they don't need. In a binary tradeoff between doing good by the customer or good by the business, the customer always wins.
You'll collaborate closely with several areas of the business including Product, BizOps, Data, Design, and GTM to identify the moments in a developer's workflow where [Employer] can deliver more value, make that value easier to find, and support that your approach works with data.
In this role you will
You'll lead a team of engineers, set its priorities, and be accountable for the metrics it moves. This is a new role, and the roadmap is yours to define and execute in partnership with design and data teams.
- Lead work across [Employer]'s self-serve funnel — signup and onboarding, first-run activation moments in-product, trial and upgrade paths, and pricing and billing surfaces in partnership with the Billing team — largely in our Python/Django and TypeScript/React codebase
- Evolve our experimentation foundations, in close partnership with our Data team — flagging, instrumentation, and readouts are real but far from finished
- Run a fast, disciplined experimentation loop where hypotheses are argued before they're built
- Hold conversion and activation alongside churn, support volume, and 90-day retention, and report all of them — including the experiments that come back flat
- Grow the engineers on your team, including the underrated skill of doing excellent work on something that might be deleted next week
You’ll love this job if you
- Believe Growth done well is a form of customer service, not a conversion engine
- Would rather ship one well-argued hypothesis than five cheap tests, and can tell the difference before the results come in
- Love digging into data to find insights but form your best hypotheses from empathizing with customers
- Enjoy the challenge of understanding developer workflows deeply enough to know where and when a change creates value
- Want to build the measurement foundation rather than inherit one, and have opinions about what a team should/shouldn't bother instrumenting
- Are comfortable being the person who says the result doesn't hold up
Qualifications
- 3+ years managing engineers, including time owning a metric-driven team, on top of a strong engineering background
- Technically credible with senior engineers — our EMs engage substantively in architecture and technical decisions, and every EM passes a technical assessment at a senior IC bar
- Strong product sense — you identify where a change will create the most value, not just where a metric can be moved
- Experience helping users get the most out of a complex product
- Working fluency with experimentation frameworks, feature flags, A/B testing, and analytics instrumentation
- Able to talk to users credibly about their workflows, tooling, and pain points, with genuine opinions about the developer tools you've used
- Bonus: you've worked on growth at a developer tools company, built experimentation infrastructure from a low starting point, or run experiments at volumes where significance wasn't guaranteed
The base salary range (or hourly wage range, if applicable) that [Employer] reasonably expects to pay for this position is $220,000 to $450,000. A successful candidate’s actual base salary (or hourly wage) amount will be determined by a variety of relevant factors including, without limitation, the candidate’s work location, education, work and other relevant experience, skills, and job-related knowledge. A successful candidate will be eligible to participate in [Employer]’s employee benefit plans/programs applicable to the candidate’s position (including incentive compensation, equity grants, paid time off, and group health insurance coverage). See [Employer] Benefits for more details about the Company’s benefit plans/programs.
Equal Opportunity at [Employer]
[Employer] is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with [Employer]. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. [Employer] is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible.
If you need assistance or an accommodation due to a disability, you may contact us at [email removed].
Want to learn more about how [Employer] handles applicant data? Get the details in our Applicant Privacy Policy.
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