Senior Product Manager, AI

SiteMinder

. Own in-product AI agents end to end, including customer jobs to be done, conversational journeys, prototype testing, rollout, and adoption .

Posted 11/11/2026full-timeSydney • AustraliaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and leading AI-driven products, focusing on customer engagement and iterative improvement based on production evidence. Proficient in prototyping AI interactions and evaluating product success through customer feedback and analytical insights.

Highest-signal resume keywords

AI Product DevelopmentPrototyping AI InteractionsCustomer DiscoveryB2B SaaS ExperienceGenerative AI Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Product BuildingPrototype TestingTask-Level Success EvaluationAnalytical OwnershipConversational Product Design

Soft Skills

Clear CommunicationJudgment in Customer InteractionCollaboration with Technical Partners

Industry Keywords

Customer-Facing AI ExperienceHospitality WorkflowsProduction EvidenceEngagement MetricsCommercial Contribution

About the role

Key responsibilities & impact

Own in-product AI agents end to end, including customer jobs to be done, conversational journeys, prototype testing, rollout, and adoption
Define the agent roadmap, task-level success, and quality evaluations using production evidence
Improve the product experience based on production evidence
Connect customer value to engagement and commercial contribution
Provide clear explanations and permission requests
Design graceful handoffs
Prototype and test experiences that move beyond answers to useful action
Discover where customers trust an agent to help
Turn strong ideas into products customers want to use again

Requirements

What you’ll need

Hands-on product builder and leader who personally uses AI to create working prototypes, experiments, or usable product artefacts
Experience taking a customer-facing AI experience from prototype into real-user use
Ability to explain adoption, failure, and iteration evidence
Ability to prototype AI interactions independently
Fluency working with technical partners
Ability to define useful evaluations beyond whether an answer sounds plausible
Strong customer discovery and interaction judgement
Analytical ownership of repeat usage and task success
Conversational products, B2B SaaS, hospitality workflows, and production generative AI experience at scale are valuable
Hospitality experience is optional

Benefits

Comp & perks

Mental health and well-being initiatives
Generous parental (including secondary) leave policy
Flexibility to work in a Hybrid model (3 days in-office)
Paid birthday, study and volunteering leave every year
Sponsored social clubs, team events, and celebrations
Employee Resource Groups (ERG) to help you connect and get involved
Investment in your personal growth offering training for your advancement