What You’ll Need We’re looking for a Product Manager with experience owning complex software products or workflows from discovery through delivery and adoption. Enterprise SaaS experience is valuable, but for this role we are particularly interested in candidates who bring meaningful knowledge of policing, public safety, criminal justice, or adjacent government workflows in the UK. You should be able to translate deep domain knowledge into great product decisions rather than simply recreating ex
- If you were part of our product team, here are some things you might have done last week:
- Mark43 Logo
- Mark43 Logo
- Mark43 Logo
- Buying Guide: What to Look for in a Modern RMS
- The Multi-Discipline CAD Buyer Guide
- The Practical Buying Guide to Citation Modernization
- Callum featured in Mark43 Make a Mark series
- Callum featured in Mark43 Make a Mark series
- Making Your Mark: A Conversation with Callum Gray
- Buying Guide: What to Look for in a Modern RMS
- The Multi-Discipline CAD Buyer Guide
- The Practical Buying Guide to Citation Modernization
- Callum featured in Mark43 Make a Mark series
- Callum featured in Mark43 Make a Mark series
- Making Your Mark: A Conversation with Callum Gray
- Product Manager
- Location: Manchester
- Type: Full Time
Courses relevant to this posting
Relevance is based on skills and concepts, not a guarantee that you qualify.
Covered skills: Product management User research
Skills to close: None listed
Build the skills for this job
Coming-soon courses matched to this posting: outline, waitlist, and skill path.
1. Mapping the AI-Augmented Creation Workflow
Identify where generative AI creates leverage in your existing creation pipeline and where human judgment remains essential.
2. Designing Quality Gates and Evaluation Systems
Build structured evaluation frameworks that ensure AI-generated outputs meet quality, safety, and brand standards before publication.
3. Building Platform Feedback Loops
Connect creation outputs to user behavior, ranking signals, and performance data to improve both prompts and platform algorithms.
4. Governing AI-Augmented Creator Ecosystems
Design policies, guardrails, and moderation systems that scale with increased content velocity while maintaining trust.
5. Calculating Economics and Resource Planning
Model the costs, capacity, and ROI of AI-augmented workflows including compute, storage, moderation, and support.
6. Optimizing Prompt Interfaces and Creator Experience
Design user-facing tools that help creators express intent clearly and iterate quickly on AI-generated drafts.
7. Continuous Improvement and System Evolution
Establish processes for learning from production data, updating models, and evolving workflows as capabilities and needs change.
Want the full course when it launches? Join the waitlist and we will notify you.
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