Ownwell
Product Manager
Austin, TX. Posted 19 months ago
The role
The Product Manager will understand customers, design experiments, and develop judgment. You will own metrics, run end-to-end experiments, and work daily with engineers, operations, and other product managers.
What you will do
- Own assigned metrics like exemption flow completion rate, collections rate, unsubscribes, and onboarding activations.
- Diagnose, experiment on, and report metrics weekly.
- Own the customer feedback loop through weekly customer conversations or Care-ticket deep dives.
- Run experiments end to end from hypothesis to decision.
- Learn operations by sitting with ops, property tax consultants, and Care.
- Communicate cross-functionally and escalate ambiguity fast.
- Use AI daily for specs, data pulls, analysis, surveys, and dashboards.
Required qualifications
- 1-3 years of experience in a product, operations, analytics, or startup role
- Excellent communication skills, especially when engaging directly with customers
- Evidence of an AI-native working style
- Strong problem-solving skills
- Attention to detail
Nice to have
- Eagerness to learn from senior team members and contribute meaningfully from day one
- A collaborative mindset with the ability to work across teams and disciplines
- Comfortable in fast-moving environments with shifting priorities
- Passion for delivering great customer experiences and driving impact
- A bias to figure it out yourself before asking, paired with the judgment to escalate what genuinely needs it
Benefits
- Entrepreneurial culture
- Access to First Round Network
- Flexible PTO
- 11 company holidays
- The last week of the year to recharge and reset
- Competitive health benefits
- $1,000 annual stipend for learning support
- Up to 16 weeks of fully paid parental and bonding leave
- Complimentary real estate and tax consulting licensing and renewal as applicable
About the company
Ownwell has developed an end-to-end property tax solution for SFR and CRE investors, operators, and property managers. The company uses Data Science and Machine Learning to reduce expenses and increase Net Operating Income.