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 accurate 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 strong 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 (New South Wales)
🏢 Jobtailor
📍 New South Wales