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Current · Project management, SaaS

PodCut: shipping an AI post-production platform.

Project management of a SaaS product in live pilot: running delivery between two engineers and senior management, onboarding podcasting studios, and holding the timeline in JIRA while the platform matures.

Project management SaaS delivery JIRA · Confluence · Miro Pilot onboarding
Post-production time, per episode
Manual baseline
4 days
Studio team, by hand
With PodCut, today
4 hours
Supervised output, in pilot
Target
4 min
Production video and clips ready as filming ends
What

Delivery ownership of PodCut, an AI post-production SaaS for podcast studios, through its pilot phase: sprint execution, pilot onboarding, and the communication line between the engineering pair and senior management.

How

A structured delivery stack: sprints, epics and feature sets planned and tracked in JIRA against a maintained project timeline; documentation and decisions in Confluence; user workflows mapped in Miro so the editing pipeline is specified from the studio's side before it is built.

Pilot studios are onboarded end to end: discovery calls to qualify the workflow fit, structured onboarding onto the platform, then standing pilot check-ins that feed observed friction straight back into the sprint backlog.

Results

Two podcasting studios onboarded and in weekly use, held deliberately at two while the platform matures. Post-production on a pilot episode has gone from four days of manual editing to four hours of supervised output; the engineering target is four minutes, with production video and clips ready as soon as filming ends.

Product
PodCut · AI post-production SaaS
Role
Project manager · delivery
Team
Two software engineers · senior management
Stack
JIRA · Confluence · Miro
Cadence
Sprints · discovery calls · pilot check-ins
Filed under
Product record · P·1
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