Technical Project Manager at Threekit leading client - specific solutions and overseeing project delivery processes. Driving innovation in e - commerce with an AI - enabled visual commerce platform.
About the role
- Technical Project Manager leading the delivery of AI, data, and automation solutions for enterprise clients. Overseeing multi-disciplinary teams and driving measurable business impact in a complex environment.
Responsibilities
- Own end-to-end delivery of AI, data, and automation solutions for enterprise clients
- Lead cross-functional teams including:
- Data engineers
- ML engineers / data scientists
- Software engineers
- Product and UX
- Translate business problems into structured, sequenced delivery plans
- Manage:
- Scope, dependencies, risks, and trade-offs
- Delivery timelines and resourcing
- Quality, technical debt, and production readiness
- Run delivery across discovery, MVP, and scale phases
- Act as the day-to-day senior delivery lead for clients
- Lead:
- Steering committees
- Executive updates
- Planning and prioritisation sessions
- Set and manage expectations around:
- AI feasibility and limitations
- Iterative delivery and experimentation
- Data readiness and quality risks
- Build trusted relationships with senior business and technology leaders
- Lead delivery in environments involving:
- Data pipelines and data platforms
- ML models and LLM-based systems
- Evaluation, testing, and iteration cycles
- MLOps / deployment workflows
- Human-in-the-loop systems
- Governance, security, and compliance constraints
- Proactively manage the realities of AI delivery:
- Non-deterministic outputs
- Data quality and availability risks
- Model performance trade-offs (accuracy, latency, cost)
- Ongoing monitoring and iteration post-launch
- Own delivery financials including:
- Resourcing and phasing
- Margin and burn management
- Balance:
- Speed vs quality
- Scope vs impact
- Experimentation vs delivery certainty
- Drive solutions towards:
- Adoption
- Measurable business impact
- Scalable production outcomes
Requirements
- 8–12+ years in technical project, program, or delivery management
- Proven experience delivering complex digital, integration, data, or AI-enabled systems
- Experience leading multi-disciplinary technical teams
- Strong client-facing experience in consulting or enterprise environments
- Comfortable operating in environments with:
- Ambiguous scope
- Evolving requirements
- High technical complexity
- Data and platform dependencies
- Strongly Preferred
- Experience delivering one or more of:
- AI / ML products
- Data platforms
- Decisioning or automation systems
- LLM-powered or analytics-heavy systems
- Strong understanding of:
- Modern data architectures
- Cloud platforms (AWS, Azure, GCP)
- Boomi, webMethods, Workato, Mule or Azure system integrations and APIs.
- The ML / AI product lifecycle
- Background in consulting, product-led SaaS, or large-scale transformation programs.
Benefits
- Career growth via succession planning, internal mobility programs, and mentorship opportunities.
- Ongoing investment in professional development through industry certifications.
- Employee benefits, recognition, and wellbeing platform.
- Mental health support through our Employee Assistance Program.
- Support for family and caring responsibilities, including paid parental leave.
- Employee referral program, with monetary incentives offered.
- Commitment to supporting Australia’s veterans.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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