Product Manager, AI Native

Jobtailor

Ryde

On-site

AUD 120,000 - 180,000

Full time

8 days ago

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Job summary

Jobtailor is seeking a senior product manager to lead AI-native workflows for our SaaS platform. You will own agent-based pipelines, design critique, and prototype interfaces while collaborating with engineers and customers across multiple regions.

You will drive roadmap prioritization and product adoption, delivering clear specifications and release automation. The role requires hands-on experience with modern AI tools, Figma/Linear/GitHub, and a proven track record in B2B SaaS.

Qualifications

AI-native operation: write production-grade prompts, author reusable agent skills, set up scheduled jobs, and judge what should be automated versus kept human
Deep working knowledge of agents, agentic software, AI-native workflows, and the changing product craft
Ability to verify AI output against ground truth and identify incorrect model output
Demonstrated agent workflows or automations designed and run
Strong UI design judgment regarding spacing, hierarchy, copy, and interaction
Ability to sketch, wireframe, or prototype interfaces
Accountability for shipped interface quality
Ability to give and receive design critique
Technical background through CS/engineering education or demonstrable self-taught experience
Comfortable answering data questions independently
Ability to read and reason about APIs, integrations, and system architecture
Proven ability to manage time across competing priorities autonomously
Experience running multiple concurrent projects or product areas
Bias to action and ability to unblock work independently
Outstanding written English
Ability to communicate with customers, engineers, and executives and translate between technical and business contexts
Completed written exercise and verbal discussion
Approximately 4 years owning product outcomes is a guide; 4–6 years of solid product management experience in SaaS desired
Excellent product judgment and discovery skills
Strong track record shipping products customers use
Hands-on experience with modern AI tools and self-built agentic workflows
Exposure to B2B SaaS valuable
Bonus: care/health/disability/workforce management domain experience
Bonus: Hands-on with Figma, Linear, GitHub, LaunchDarkly, or HubSpot

Responsibilities

Run the AI operating system and own agent workflows across the product pipeline from customer request through release
Write prompts, reusable skills, and scheduled cron jobs; review agent output; decide automation vs human ownership; improve weekly
Set the UI design quality bar and partner with design on interaction and visual detail
Sketch, wireframe, or prototype ideas and lead design critique
Read APIs, query data, understand the data model, and reason about trade-offs with engineers
Write clear specifications for engineering
Prioritise the roadmap using revenue, churn, at-risk deals, support volume, and regional/global factors
Write product blurbs, announcements, and help-article drafts in plain language
Own product adoption as well as delivery
Own and groom the Linear backlog with user stories, acceptance criteria, and requirements
Run refinement, planning, and reviews; keep work unblocked; make real-time scoping decisions
Gather and synthesise customer feedback via support conversations, testing, and direct contact
Track adoption, engagement, retention, and feature-flag rollout state across regions
Use measurement to decide what to build, improve, or retire
Rapidly prototype in Cursor and Claude Code; generate PRDs and Linear tickets; support QA with AI; automate release workflows

Skills

AI-native workflow

Agent workflow design

Prompt writing

Data querying

Prototyping

UI design judgment

Design critique

Requirements writing

Roadmap prioritization

Tools

Figma

Linear

GitHub

LaunchDarkly

HubSpot

Cursor

Claude Code

Job description

Run the AI operating system and own agent workflows across the product pipeline, from customer request through prioritisation, specification, engineering handoff, and release
Write prompts, reusable skills, and scheduled cron jobs; review agent output; decide what is automated versus human-owned; improve the system weekly
Set the UI design quality bar and partner with design on interaction and visual detail
Sketch, wireframe, or prototype ideas and lead design critique
Read APIs, query data, understand the data model, and reason about technical trade-offs with engineers
Write clear specifications for engineering
Prioritise the roadmap using revenue, churn, at-risk deals, support volume, customer/logo/staff volume, strategic fit, and competitive position across AU, US, CA, UK, and global regions
Write product blurbs, announcements, and help-article drafts in plain language
Own product adoption as well as delivery
Own and groom the Linear backlog with user stories, acceptance criteria, and requirements
Run refinement, planning, and reviews; keep work unblocked; make real-time 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 across regions
Use measurement to decide what to build, improve, or retire
Rapidly prototype in Cursor and Claude Code, generate PRDs and Linear tickets via agents, support QA with AI, and automate release workflows

Requirements

AI-native operation: write production-grade prompts, author reusable agent skills, set up scheduled jobs, and judge what should be automated versus kept human
Deep working knowledge of agents, agentic software, AI-native workflows, and the changing product craft
Ability to verify AI output against ground truth and identify incorrect model output
Demonstrated agent workflows or automations designed and run
Strong UI design judgment regarding spacing, hierarchy, copy, and interaction
Ability to sketch, wireframe, or prototype interfaces
Accountability for shipped interface quality
Ability to give and receive design critique
Technical background through computer science or engineering education, developer/QA/data analyst/solutions engineer/technical BA experience, or demonstrable self-taught experience
Comfortable answering data questions independently
Ability to read and reason about APIs, integrations, and system architecture
Proven ability to manage time across competing priorities autonomously
Experience running multiple concurrent projects or product areas
Bias to action and ability to unblock work independently
Outstanding written English
Ability to communicate verbally with customers, engineers, and executives and translate between technical and business contexts
Successful completion of a written exercise and verbal discussion
Approximately 4 years owning product outcomes is a guide, not a gate
4-6 years of solid product management experience, ideally in SaaS
Excellent product judgment and discovery skills
Strong track record shipping products customers use
Hands-on experience with modern AI tools and self-built agentic workflows
Exposure to B2B SaaS valuable
Care, health, disability, or workforce management domain experience is a bonus
Hands-on experience with Figma, Linear, GitHub, LaunchDarkly, or HubSpot is a bonus

Core Competencies

Demonstrates expertise in AI-native workflows, product management, and UI design, with a strong ability to communicate technical concepts to diverse stakeholders. Proven track record in managing product outcomes and enhancing user experience through effective design and automation.

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