- Own and improve agent workflows powering the product pipeline from customer request through prioritisation, specification, engineering handoff and release
- Write prompts, reusable skills and scheduled jobs, review AI output against ground truth, and decide what remains automated versus human-led
- Partner with design to critique interfaces, sketch or prototype ideas, and maintain a high bar for interaction and visual quality
- Read APIs, query data, understand the data model, and reason about technical trade-offs with engineers
- Write precise specifications and maintain a prioritised Linear backlog with user stories, acceptance criteria and requirements
- Prioritise roadmap options using revenue, churn, at-risk deals, support volume, regional metrics, strategic fit and competitive position
- Write product blurbs, announcements and help articles that explain shipped capabilities in plain language
- Run refinement, planning and reviews; keep delivery unblocked and make in-the-moment scoping decisions
- Gather and synthesise customer feedback through support conversations, user testing and direct customer contact
- Track adoption, engagement, retention and feature-flag rollout state to guide future product decisions

Requirements

- Ability to write production-grade prompts, reusable agent skills and scheduled jobs
- Deep working knowledge of agents, agentic software, AI-native workflows and AI's impact on product craft
- Ability to verify AI output against ground truth and identify incorrect model results
- Demonstrated experience designing and running agent workflows or automations
- Strong, articulable opinions on UI spacing, hierarchy, copy and interaction
- Ability to sketch, wireframe or prototype product ideas
- Shipped interface work for which the candidate was personally accountable
- Ability to give and receive direct design critique
- Technical background, such as computer science or engineering education, development, QA engineering, data analysis,



solutions engineering, technical business analysis or demonstrable self-taught experience
- Ability to independently answer data questions
- Ability to read and reason about APIs, integrations and system architecture
- Proven ability to manage time across competing priorities autonomously
- Experience managing multiple concurrent projects or product areas
- Bias to action and ability to unblock work and close loops
- Outstanding written English
- Ability to communicate verbally with customers, engineers and executives and translate confidently in both directions
- Completion of a written exercise and verbal discussion, including designing an agent workflow, critiquing an interface and presenting a view on AI and product craft
- Roughly 2-4 years owning product outcomes is a guide, not a gate
- B2B SaaS exposure is valuable
- Bonus experience in care, health, disability or workforce management
- Bonus hands-on experience with Figma, Linear, GitHub, LaunchDarkly or HubSpot

Core Competencies

Demonstrates expertise in managing agent workflows and AI-native product development, with a robust focus on user experience and technical specifications. Capable of synthesizing customer feedback and making data-driven product decisions while effectively communicating with diverse stakeholders.

Highest-signal resume keywords

- Agent Workflow Management
- AI-Native Workflows
- UI Design Critique
- API Integration Understanding
- Product Specification Writing

ATS Optimization Keywords

Hard Skills

- Production-Grade Prompt Writing
- Reusable Agent Skills Development
- Scheduled Job Creation
- Data Analysis
- Technical Business Analysis

Soft Skills

- Time Management
- Communication
- Design Critique
- Customer Feedback Synthesis
- Bias to Action

Industry Keywords

- B2B SaaS
- Health Management
- Disability Management
- Workforce Management
- Product Craft

Tools & Technologies

- Figma
- Linear
- GitHub
- LaunchDarkly
- HubSpot

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📌 Product Owner – Technical, AI-Native Product Team (City of Sydney)
🏢 Jobtailor
📍 City of Sydney