Product Manager
TeamifiedThis Product Manager role focuses on an enterprise SaaS platform for volunteer engagement. You will bridge the gap between direct customer feedback and scalable product features across web and mobile platforms.
What you’d own
- Translating individual customer pain points into scalable platform solutions
- Ensuring feature parity and compliance across web and mobile
- Conducting gap analyses to identify platform shortcomings
- Driving product briefs in collaboration with Engineering, UX, and Support
Who it’s for
A fit if you…
- ✓3-5 years of experience translating customer needs into shipped features
- ✓Experience working within a Product/Engineering/UX triad model
- ✓Ability to communicate clearly with both technical teams and customers
- ✓Strong sense of UX to ensure features are usable, not just functional
Not for you if…
- ✗You prefer building purely internal tools without direct customer interaction
- ✗You prefer working on a single platform (web-only or mobile-only)
- ✗You prefer making decisions based on intuition rather than evidence and stakeholder consultation
Reading between the lines
- The focus on 'compliance' and 'gap analysis' suggests a high degree of regulatory complexity in the enterprise space.
- The requirement to turn 'individual asks into solutions that scale' implies you will need to push back on customers who want custom features that don't fit the roadmap.
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Benefits
Full job description
About Teamified
See all roles →Teamified is an agentic AI hiring platform where named AI agents handle each stage of a hire: sourcing, resume screening, reference and claim verification, and a recorded video interview scored against one rubric, with a human making the final call. It sells to growing businesses, largely in Australia and other Western markets, and pairs the platform with offshore team building, payroll and compliance, claiming shortlists at least 50% faster and up to 70% lower people costs. Customers include Deputy, Tyro and Hitachi. Founded in 2021 and headquartered in Melbourne, the company also runs a bias-auditing agent over its own scoring, which is an unusually concrete product problem for a PM working on AI evaluation.
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