Product Analyst — Growth & GTM

Team: Analytics

Location: Toronto, ON

Commitment: Full Time - Permanent

Workplace Type: hybrid

What you will be doing:

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 

What you will bring:

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