Product Manager - Growth

Vertical Insure•Minneapolis, MN

6d•$100,000 - $130,000

About The Position

This is a high-impact, high-visibility role that owns the experiments roadmap and backlog for our core and growth verticals. You will be accountable for driving measurable improvements to conversion rate – from identifying growth levers and customer friction points, to coordinating rapid iteration and scaling what works. The ideal candidate is a hands-on builder with a rigorous approach to experimentation and a sharp point of view on buyer psychology – what motivates purchases, what creates hesitation, and what converts at scale. You’ll own the A/B test lifecycle end to end, move quickly, use AI tools to increase your output, and build repeatable systems for testing, learning, and scaling.

Requirements

3+ years of experience in growth, product, marketing, analytics, or another highly cross-functional role
A proven experimentation track record: you’ve run experiment programs and know how to design, call, and sequence tests for maximum learning, ideally running 5+ tests at any given time
Strong creative judgment and empathy – you turn customer pain points into compelling test ideas
Comfort with funnel analytics: you pull your own data, know your way around SQL and BI tools (Metabase, Tableau) and can distinguish signal from noise
Excellent communication and collaboration skills, with an ability to influence without authority
Experience working closely with engineering, sales, marketing, and customer-facing teams
Comfort operating within regulated environments – you understand (or can quickly learn) how insurance, risk, legal, or compliance constraints shape what can be tested and shipped

Nice To Haves

You’ve navigated complex stakeholder environments like Insurance, Risk, Legal, or Compliance, and know how to move fast within constraints.
Experience with our A/B testing platforms (GrowthBook) or similar (StatSig, Eppo, PostHog, or others)

Responsibilities

Prioritize and maintain the A/B and multivariate testing backlog, informed by funnel analytics, user research, and competitive analysis
Independently prototype offer layouts, design, and copy, then partner with engineering to bring test concepts to life
Design and analyze experiments with strong statistical rigor
Translate results – wins and losses alike – into clear product decisions, using post-launch data to shape the next round of iteration
Communicate strategy, insights, and trade-offs to senior leadership with a focus on business impact
Analyze and segment funnel performance – across offers, quotes, purchases, verticals, partners, and channels – to surface the highest-leverage optimization opportunities
Maintain reporting that makes funnel health and experiment results visible and actionable for cross-functional stakeholders
Conduct direct consumer research (interviews, surveys, usability testing, behavioral analysis) to uncover insights that drive product decisions
Partner with Sales and Implementation to shape how offers are placed and presented within partner platforms, serving as the internal source of truth on which placements and flows drive the strongest conversion outcomes
Partner with engineering to evolve the experimentation tech stack, improving efficiency across the experiment lifecycle from inception to analysis
Use AI to speed up test ideation, hypothesis generation, copy/variant drafting, and segment-level analysis – while pressure-testing AI-generated conclusions against rigorous evidence