4 days ago

Group Product Manager, AI

Nuix

Sydney

4 days ago

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Nuix is seeking a Group Product Manager to lead its AI product portfolio, setting product direction for AI value creation across NLP, data enrichment, MCP, API, and partner ecosystems. The role involves leading a team of Product Managers, driving AI strategy, and ensuring AI is explainable, defensible, and auditable for enterprise customers. Based in Sydney with a minimum of 3 days per week in office.

Core AIHybridFull-timeLeadProduct ManagementAI/ML

Group Product Manager, AI

Apply

Core AIHybridFull-timeLeadProduct Management

Salary

Not specified

Work Location

Sydney, New South Wales, Australia, AU

Work Model

On-site: minimum 3 days per week in Sydney office, optional remote for remaining 2 days

Employment Type

Full-time

Experience Level

Group PM, Principal, Lead level

Core Qualifications

Technical (Must-have)

Product ManagementAI/MLNLPData EnrichmentAPIDeveloper ExperiencePartner IntegrationsMCPAgent FrameworksLLM OrchestrationGraph VisualizationAI GovernanceEU AI ActEnterprise SearchCybersecurity

Soft Skills

CommunicationStakeholder ManagementInfluenceLeadershipCoachingCustomer CentricityOwnershipExperimentationPsychological SafetyCommercial Acumen

Preferred Qualifications

Technical (Nice-to-have)

MCP serversAgent frameworksLLM orchestrationGraph visualizationAI governanceEU AI Act

Key Responsibilities

•Identify market opportunities, build clarity on ideal customer profiles, and shape the platform's value proposition to win in target segments.
•Shape and drive the product strategy for Nuix's AI and ML capabilities — enrichment, NLP, agents, MCP integrations and the API — aligned to the vision set with the General Manager of Product.
•Own the API and developer platform strategy: developer experience, partner integrations, and the commercial mechanics of programmatic access to the platform.
•Translate market signals, customer data, and technical capabilities into a roadmap that drives acquisition, activation, and monetization and compounds over time.
•Track the evolving AI landscape (foundation models, agentic workflows, MCP and open protocols, RAG, AI governance regulation) and turn market signal into strategy.
•Build, coach, and scale a team of Product Managers across the AI capability areas, fostering a culture of customer centricity, ownership, experimentation, and psychological safety.
•Embed modern product management practices (data-driven discovery, continuous delivery, user-centric design, and AI-augmented workflows) across your team.
•Own and grow Nuix's core AI capability - setting the model strategy with Data Science and Engineering and building on the owned models that make Nuix AI explainable and defensible.
•Partner closely with the Data Platform product group to ensure enrichment, AI agents and other intelligence capabilities are built as a native part of the platform.
•Stay across the evolving landscape of AI-native development practices and bring an informed view of what good looks like, from how product teams work to how work flows through the PDLC.
•Ensure AI thinking is woven into day-to-day product and development decisions and ways of working.
•Bridge Product and Go-To-Market teams, ensuring smooth commercial launches, clear packaging inputs, and effective product enablement.
•Engage deeply with key enterprise customers, advisory boards, and partners to gather signal and evangelize the Nuix product vision.
•Own the go-to-market strategy, including priority use cases that anchor the value proposition, and how to enter the market as part of the broader platform.
•Own pricing and packaging strategy, translating platform value into commercial models that drive adoption, expansion, and monetization.
•Grow the partner and technology ecosystem, building out partner enablement and the developer community.
•Define and track portfolio-level metrics (adoption, engagement, accuracy, API usage, ecosystem growth, monetization) and hold the group accountable to outcomes.
•Use data to continuously evaluate product performance, inform prioritization, and justify investment decisions to senior stakeholders.
•Define evaluation frameworks and monitoring for AI quality — accuracy, precision/recall and explainability benchmarks.

Product ManagementAIMachine LearningNLPAPIEnterprise SoftwareSydneyFull-timeOn-siteLeadership

Core Qualifications

Technical (Must-have)

Product ManagementAI/MLNLPData EnrichmentAPIDeveloper ExperiencePartner IntegrationsMCPAgent FrameworksLLM OrchestrationGraph VisualizationAI GovernanceEU AI ActEnterprise SearchCybersecurity

Soft Skills

CommunicationStakeholder ManagementInfluenceLeadershipCoachingCustomer CentricityOwnershipExperimentationPsychological SafetyCommercial Acumen

Key Responsibilities

•Identify market opportunities, build clarity on ideal customer profiles, and shape the platform's value proposition to win in target segments.

•Shape and drive the product strategy for Nuix's AI and ML capabilities — enrichment, NLP, agents, MCP integrations and the API — aligned to the vision set with the General Manager of Product.

•Own the API and developer platform strategy: developer experience, partner integrations, and the commercial mechanics of programmatic access to the platform.

•Translate market signals, customer data, and technical capabilities into a roadmap that drives acquisition, activation, and monetization and compounds over time.

•Track the evolving AI landscape (foundation models, agentic workflows, MCP and open protocols, RAG, AI governance regulation) and turn market signal into strategy.

•Build, coach, and scale a team of Product Managers across the AI capability areas, fostering a culture of customer centricity, ownership, experimentation, and psychological safety.

•Embed modern product management practices (data-driven discovery, continuous delivery, user-centric design, and AI-augmented workflows) across your team.

•Own and grow Nuix's core AI capability - setting the model strategy with Data Science and Engineering and building on the owned models that make Nuix AI explainable and defensible.

•Partner closely with the Data Platform product group to ensure enrichment, AI agents and other intelligence capabilities are built as a native part of the platform.

•Stay across the evolving landscape of AI-native development practices and bring an informed view of what good looks like, from how product teams work to how work flows through the PDLC.

•Ensure AI thinking is woven into day-to-day product and development decisions and ways of working.

•Bridge Product and Go-To-Market teams, ensuring smooth commercial launches, clear packaging inputs, and effective product enablement.

•Engage deeply with key enterprise customers, advisory boards, and partners to gather signal and evangelize the Nuix product vision.

•Own the go-to-market strategy, including priority use cases that anchor the value proposition, and how to enter the market as part of the broader platform.

•Own pricing and packaging strategy, translating platform value into commercial models that drive adoption, expansion, and monetization.

•Grow the partner and technology ecosystem, building out partner enablement and the developer community.

•Define and track portfolio-level metrics (adoption, engagement, accuracy, API usage, ecosystem growth, monetization) and hold the group accountable to outcomes.

•Use data to continuously evaluate product performance, inform prioritization, and justify investment decisions to senior stakeholders.

•Define evaluation frameworks and monitoring for AI quality — accuracy, precision/recall and explainability benchmarks.