Full-time, remote, and open to candidates anywhere, this Growth Marketing Manager opening pays up to $92,000 a year. The company wants someone who treats the funnel as something to actively test against, not just report on.
Responsibilities
Day-to-day, the work centers on experiments that move real numbers. The role reports into a marketing lead but works most closely with product managers and engineers, since a meaningful chunk of what gets tested touches the product surface rather than an ad or a landing page.
- Design and run growth experiments aimed at acquisition, activation, and retention
- Analyze funnel data to find where users drop off and why
- Collaborate with product and engineering on growth initiatives that require changes to the product itself, not just the marketing around it
- Track experiment results against a hypothesis, and kill or scale tests based on what the data actually shows
- Report on which experiments moved the needle and which didn't, in language the rest of the team can act on
A good chunk of the job is deciding which experiments are worth running in the first place. Not every idea gets tested, and part of the role is saying no to the ones that would eat up a sprint with little chance of moving a real metric. Some weeks bring a clean result and a clear next step; other weeks bring a test that comes back inconclusive, and the manager has to decide whether to rerun it, tweak it, or move on entirely. Prioritization matters here as much as the testing itself, since engineering time is limited and not every hypothesis is worth spending it on.
Skills
Growth experimentation and funnel analysis sit at the center of this role.
- Designing and running growth experiments end to end
- Funnel analysis, including finding the specific step where drop-off concentrates
- A/B testing methodology, from setting up a valid test to interpreting the results without overreaching
- Comfort with analytics tools, whether that's a product analytics platform or a raw SQL query against the events table
- Cross-functional collaboration, particularly with product and engineering teams who own the changes an experiment might call for
Beyond that core list, experience with a specific experimentation platform such as Optimizely or a product analytics tool such as Amplitude or Mixpanel will help an application stand out, as will any background running SQL queries directly rather than relying entirely on pre-built dashboards. Some familiarity with basic statistics, enough to know when a sample size is too small to trust a result, is also a plus, even though it isn't listed as a formal requirement.
Education and experience
Education-wise, this one calls for a bachelor's degree at minimum, most commonly in marketing, business, or a related field, though the hiring team hasn't drawn a hard line around the exact major. On the experience side, candidates need at least 30 months of hands-on work running growth experiments across acquisition and retention channels. That experience should reflect actual ownership of a test, from writing the hypothesis through reading the result, not just involvement in someone else's. Time spent purely on strategy decks or campaign briefs, without hands-on experience with the actual testing process, doesn't really count toward this requirement, even if the job title on a resume suggests otherwise.
Candidates coming from a pure paid-acquisition background, with little exposure to activation or retention experiments, may find some of the funnel work unfamiliar at first. That gap is workable if the analytical foundation is strong, but it's worth knowing going in.
Compensation and benefits
Pay for this role goes up to $92,000 annually. Naukri Mitra has seen growth marketing manager compensation vary a fair amount depending on how experiment-heavy a company's culture is, and this figure lands on the stronger end for a fully remote, worldwide-eligible position at this experience level.
- Health insurance
- Paid time off
- 401(k) matching
- Performance bonuses
Larger employers hiring for roles like this one often add tuition reimbursement or a learning stipend to the core package, and that holds true here. It's a detail worth asking about directly during the interview process, since the exact terms tend to vary by team.
What makes someone a fit
Candidates who've run experiments that failed, and can talk through why without getting defensive about it, generally do better in this role than candidates who can only describe their wins. Growth work involves a lot of tests that don't pan out, and a manager who treats a null result as data rather than a personal setback keeps the team moving rather than stalling. Product-minded thinking helps too, since a good chunk of the job means proposing changes that engineering has to actually build, not just changes to an ad account.
People researching how to become a remote growth marketing manager often assume the role is mostly about running ads. It isn't, not primarily. The channel work matters, but the bulk of the job is the testing discipline behind it: forming a hypothesis, running a clean test, and reading the result honestly even when it contradicts what the team expected going in. Patience matters more than most candidates expect walking in, since a meaningful result can take weeks to surface depending on traffic volume.
Communication skills count for more than it might seem from the job title alone. A finding that never gets explained clearly to product and engineering rarely turns into an actual change, no matter how solid the underlying data is.
How to apply
Send a resume, and include one experiment you've run that you're genuinely proud of, along with what it actually changed. If the experiment didn't produce the outcome you hoped for, that's fine to include too; how someone reads a disappointing result often says more than a highlight reel of wins would. Reviews happen as applications come in rather than on a set schedule, so there's no fixed cutoff date to work around, and candidates who make it past the initial screen should expect the first conversation to dig into the mechanics of that experiment specifically.
