UX Conversion Specialist - Staff

Overview:
Data. Yep, you read that right.
We're looking for someone who geeks out about analyzing user behavior, dissecting sign-up flows, and uncovering why users buy (or don't). You're obsessed with numbers-conversion rates, drop-off points, and purchase funnels are your playground. You understand how the human brain works (you've probably read at least three books on it), and you use data to figure out what makes users click "Buy Now" without feeling like they're being sold something.
We want a Behavioral UX Analyst who's part detective, part psychologist, part growth strategist. Someone who knows that one insight from a data set can mean the difference between 10 users and 10,000.
This role sits at the heart of our product experience, where new users meet our stuff for the first time and decide whether to sign up or buy. No pressure.
You will be a traditional company employee. This is a remote position, but if you're near one of our local offices, you're welcome to come hangout with us in-office as well. Our main offices are in Post Falls, ID, and Spokane, WA; we also have satellite offices in Austin, TX, and Salt Lake City, UT.
Wage:
$150,000/year
Benefits:

• 100% employer-paid medical, dental and vision for employees
• Annual review with raise option
• 22 days Paid Time Off accrued annually, and 4 holidays
  • After 3 years, PTO increases to 29 days. Employees transition to flexible time off after 5 years with the company-not accrued, not capped, take time off when you want
  • The 4 holidays are: New Year's Day, Fourth of July, Thanksgiving, and Christmas Day
• Paid Maternity and Paternity Leave
• Up to 6% company matching 401(k) with no vesting period
• Quarterly allowance
  • Use to make your remote work set up more comfortable, for continuing education classes, a plant for your desk, coffee for your coworker, a massage for yourself... really, whatever
• Open concept office with friendly coworkers
• Creative environment where you can make a difference
• No dumb benefits like free dog walking on the weekends that snobby hipster places have to make you feel cool, but mathematically won't cost the company much money because you won't use it
• Trail Mix Bar --- oh yeah

Responsibilities:

• Analyze user behavior data to identify friction points in account creation, sign-up, and product purchase flows.
• Use behavioral psychology, cognitive load theory, and data insights to recommend changes that drive conversions.
• Design and run A/B tests, multivariate tests, and experiments to optimize sign-up and purchase funnels.
• Dive deep into analytics tools (e.g., Google Analytics, Mixpanel, or Amplitude) to track metrics like conversion rates, bounce rates, churn, and customer lifetime value.
• Collaborate with product managers, engineers, and marketers to translate data insights into actionable improvements across web and mobile.
• Identify high-level patterns in user behavior to inform scalable strategies for improving sign-ups and purchases.
• Delegate visual design tasks to UI/UX designers while focusing on data-driven recommendations for flow optimization.
• Ensure recommendations prioritize accessibility, speed, and simplicity to reduce user friction.
• Relentlessly find steps to simplify, optimize, or eliminate in user flows. We love deleting stuff.

Requirements:

• 5+ years of experience in UX analysis, product analytics, or a related role with a focus on conversion optimization.
• Deep understanding of why users abandon carts, quit sign-ups, or hesitate at checkout (and at least one strong opinion about CAPTCHA).
• Proven track record of using data to improve conversion rates, with a portfolio or case studies showing measurable impact.
• Proficiency in analytics tools (e.g., Google Analytics, Mixpanel, Amplitude, or similar) and A/B testing platforms (e.g., Optimizely, VWO).
• Low ego, high curiosity, and a willingness to test bold ideas to see what drives results.
• Ability to communicate data insights clearly to developers, marketers, and stakeholders without jargon overload.
• (Bonus) You've read Thinking, Fast and Slow and actually understood it.
• (Bonus-er) You've worked in fintech, health tech, or industries where users hate friction and love seamless experiences.