Own the AI use-case backlog and prioritize agent-assist scale-out. Translate business intent into Epics, Features, and User Stories with explicit acceptance criteria in Azure DevOps. Run sprint planning, refinement, reviews, and demos on a fast-paced AI-infused agile cadence. Leverage AI tooling to draft requirements, generate stories, and author acceptance criteria. Coordinate with stakeholders and transformation advisors to meet call reduction, AHT, and deflection targets.
- Own the AI use-case backlog for the pod, starting with the servicing agent-assist scale-out and prioritizing additional items from the backlog of AI pilots.
- Partner with internal Product Owner and PSL leadership team to define call reduction, AHT (average handle time), and deflection targets — cited the early benchmark of "90 seconds to 14 seconds" agent lookup time and signaled this is where ROI must be proven.
- Translate business intent into Epics, Features, and User Stories in Azure DevOps (ADO), the SOW-mandated system of record, with explicit Acceptance Criteria.
- Run sprint planning, refinement, sprint reviews, and demos in line with Photon's AI-infused agile cadence (1–2 week sprints, working toward 2-day sprints as the team matures).
- Operate as a "Vibe PO" — leveraging AI tooling for requirements drafting, story generation, and acceptance criteria authoring.
- Coordinate with the transformation advisor on ways-of-working alignment.
Compensation, Benefits and Duration
Minimum Compensation: USD 60,000
Maximum Compensation: USD 210,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
This position is available for independent contractors
No applications will be considered if received more than 120 days after the date of this post
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Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
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