Product Analyst — Growth & GTM

Know the User Before Anyone Else Does

• Dig into who a new capability is really for — which users, which behaviors, which unmet need — before the roadmap hardens around a guess

• Turn scattered signals (usage data, sales conversations, support tickets) into a sharp, specific point of view on the target user that the whole team can rally around

Shape How We Talk About It

• Define the positioning: what this is, why it matters, and why now — the story that has to be true before anyone can sell or explain it well

• Make it concrete enough that sales, support, and leadership all end up telling the same story, without needing a script

Price It Like You Mean It

• Work through the monetization question early: what's this worth, to whom, and how should it be packaged or priced

• Bring real analysis to that conversation — usage patterns, willingness-to-pay signals, comparable value — instead of “what feels right”

Run the Beta That Tells the Truth

• Design and run the beta program: pick the right users, define what success actually looks like up front, and resist the urge to declare victory early

• Turn beta feedback into a real go/no-go call, backed by data, not enthusiasm

Launch It, Then Actually Watch What Happens

• Own the launch and the metrics that tell you whether it's working — adoption, retention, revenue impact, whatever matters for this bet

• Build the reporting that makes this visible to leadership without anyone having to ask

Close the Loop

• Turn user feedback and post-launch data into a clear, prioritized set of changes for the product team — not just a pile of quotes

• Make sure what you learn on this launch makes the next one sharper

Table stakes

• 3–5 years of experience touching at least part of this arc already: user research, positioning, pricing, beta programs, or launches

• Strong analytical foundation — comfortable with SQL/Excel or equivalent, and genuinely good at turning data into a decision, not just a chart

• Excellent storytelling instincts — can turn “here's what the data shows” into a narrative people remember and repeat

What actually differentiates candidates

• Comfort owning the whole arc — from “who is this for” to “did it actually work” — instead of one slice of it

• A genuine dual fluency: rigorous enough that people trust your numbers, persuasive enough that people remember your story

• A bias to ship, test, and learn quickly, rather than wait for a certainty that never quite arrives

• Real passion for this kind of work, paired with the autonomy to run with it — you don't need someone checking in to know what's next

Nice-to-have

• Background in product management, growth, or product marketing

• Experience with monetization or pricing strategy

• B2B SaaS or enterprise software experience