Growth Product Manager

Hybrid NYC ( 3 days a week in office) $160k – $190k base + 10% bonus + equity We are building the first AI visualization platform for aesthetic and wellness care, a place where people can see a credible, achievable version of themselves before ever stepping into a practice. Out of our proprietary platform which powers 4,000+ practices, 2M+ users, and over $3B in client revenue, we are now building the consumer side: the product that turns curiosity into a booked consultation, and a booked consultation into a lifelong patient. You will be part of our early startup team. Mission To own the scan-to-booking conversion engine for our product and make our partner practices demonstrably more successful, measured by the rate at which consumers complete an AI assessment and book a paid consultation with their local practice. This role exists because practice retention depends on practice ROI, and practice ROI depends on one number moving up and to the right: bookings per scan. Success Metrics Lift scan-to-booking conversion rate by 30% within 12 months (baseline to be established in week 2), through a continuous experimentation cadence of no fewer than 4 shipped A/B tests per month in GrowthBook. Reduce scan abandonment by 20% within 9 months by instrumenting the full funnel, identifying the top three drop‑off points in the first 30 days, and shipping targeted interventions against each. Stand up and operate the product’s lifecycle program in Customer.io within the first 90 days, launching at minimum: a scan‑abandonment recovery series, a post‑scan booking nurture, and a lapsed‑user re‑engagement flow. Target: recover 15% of abandoned scans within 6 months of launch. Build one compounding growth loop by month 6: referral, re‑scan, or post‑booking that generates measurable second‑order scans at a cost below paid acquisition benchmarks. Establish the practice‑retention leading‑indicator dashboard within the first 60 days, covering bookings per scan, time to first booking, consumer re‑engagement rate, and a churn‑risk signal. Dashboard must be self‑served by the product and CS teams without analyst support. Translate experimental learnings into the product roadmap quarterly. By end of Q2 in‑seat, at least two shipped product features should trace directly back to insights from your experiments. Role Competencies SQL fluency. Writes production‑grade queries without support. Does not wait on a data team. Experimentation discipline. Hands‑on with GrowthBook or equivalent (LaunchDarkly, Optimizely). Understands sample sizing, guardrail metrics, and when not to ship. Lifecycle execution. Has personally built and shipped flows in Customer.io, Braze, Iterable, or Klaviyo, not just briefed them. Copywriting instinct. Writes the SMS, the subject line, the push. Ships words, not specs. Systems thinking. Reasons in loops and flywheels, not just funnels. Can articulate where compounding comes from in a given product. B2B2C product sense. Has optimized for both an end consumer and a business customer simultaneously and understands the tension between the two. Light engineering literacy. Python, .NET, or similar for scripting and analysis. Comfortable working directly with engineers to instrument events and validate data. Cultural Competencies Self‑directed. Does not need to be told what to work on next. Finds the next experiment on their own. Low ego, high ownership. Kills their own ideas when the data says so. Credits the team when things work. Bias toward shipping. Prefers a shipped test to a perfect plan. Respects restraint when the test isn’t ready. Calm under ambiguity. This is an early‑stage product inside a larger company. Comfort with unresolved problems is required. Respect for the brand. This product is a quiet brand in a loud category. Growth work must honor that — no dark patterns, no urgency manufacturing, no hype. Nice to Have Healthcare, wellness, aesthetics, or medspa tech background. SMS/messaging compliance familiarity (TCPA, CTIA, A2P 10DLC). Prior experience with AI/M‑L consumer products. Referral program design experience. #J-18808-Ljbffr