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Greater London, England, United Kingdom
Onsite
At Goodnotes, we believe that every individual holds untapped potential waiting to be unleashed. By reimagining the way we interact with information, we’re merging human creativity with the breakthrough capabilities of AI. Our renewed vision and mission drive us to create the best medium for human and AI collaboration, empowering users to explore new dimensions of productivity, creativity, and learning. Join us on this journey as we transform digital note-taking into an inspiring and innovative experience.
Dream big
Build great things
Operate like an owner
Win like a sports team
Learn and grow fast
Share our passion
Be user obsessed
Think of this as a startup within Goodnotes. You'd be embedded in one of our 0-1 product bets -working directly with Steven, our founder, and a small, fast-moving team building something genuinely new inside Goodnotes' AI-native product line. No legacy roadmap, no established playbook. You're helping write the first one.
You'll be the analytical partner for that product: quantifying how features move the business, building the experimentation and instrumentation that lets the team measure impact from day one, and turning ambiguous, undefined problem spaces into clear questions and confident decisions. In a 0-1 environment, that clarity is the difference between shipping the right thing and guessing.
You'll combine analytical precision with product intuition - designing experiments, uncovering the behavioural drivers behind conversion, activation, and retention, and connecting product metric movements straight back to revenue.
Crucially, you won't just do the analysis. You'll build the frameworks, playbooks, and self-serve capability that let the product team answer their own questions — the kind that hold up when you're not in the room. Removing analytics as a bottleneck isn't a side goal here. It's part of the job.
Defining success metrics & sizing opportunities: Partner with GTM, Product, and Engineering to set success metrics, size opportunities, and connect product metrics to revenue — ensuring every team knows what "good" looks like.
Building the experimentation practice: Design and analyze experiments with statistical precision, standardize how experiments run across squads, and help the organization move from opinion-driven to evidence-driven decisions.
Owning instrumentation & measurement quality: Work with Engineering on tracking plans and event taxonomy so features are measurable before they ship, not retrofitted after.
Turning behavior into insight: Run deep-dive analyses on funnels, cohorts, activation, and retention, and translate findings into actionable recommendations that drive product and business outcomes.
Enabling teams to self-serve: Teach PMs and product leaders to read experiment results and governed reporting with confidence. Build frameworks others can adapt and extend — reducing the analytics team as a bottleneck.
Shaping the agenda: Proactively surface the questions the product organization should be asking before they're asked, and know when a finding is sufficiently reliable to drive action.
Defining good enough: knowing when a finding is sufficiently reliable to drive action, avoiding the trap of pursuing endless granular accuracy.
Goodnotes is committed to fostering a diverse, inclusive, and equitable workplace. We welcome applications from individuals of all backgrounds, identities, and experiences, making all employment decisions based strictly on merit, qualifications, and business needs.
Note: Employment is contingent upon successful completion of background checks, including verification of employment, education, and criminal records.