About the role
Responsibilities:
- Vision and Strategy: Spearhead the development and implementation of cutting-edge AI solutions by crafting the vision, strategy, roadmap, and execution plan.
- Product Development: Build detailed product requirements, narratives, and technical specifications.
- These should be driven by customer feedback and intuitive product thinking.
- Re-Imagine User Experience: You'll take the lead in re-imagining the end-to-end User Experience of our product, optimising for an AI-first world.
- You will do this across our Web and Mobile applications.
- Data-Driven Insights: Utilise data to deeply understand user needs and guide future product development.
- Build the necessary Analytics layer to enable data-driven decision-making.
- Cross-Functional Collaboration: Work closely with engineering, product design, cross-track product management and GTM teams to bring new capabilities to life.
- Drive Engineering Design and Excellence: Stay ahead of the technology curve.
- Leverage Agentic AI, Generative AI, Predictive AI and Analytics to optimise dealership and enterprise workflows.
- Drive Internal AI adoption: Facilitate AI adoption within Tekion by assessing partnerships and driving POCs with innovative AI startups, data providers, and cloud vendors.
- The objective is to enhance the productivity of all Tekion teams through tailored AI solutions
Requirements:
- 7+ years of experience in Product Management in B2B2C, B2B or B2C space.
- 3+ years in AI-focused product management in B2B2C, B2B or B2C space.
- Experience working closely and driving product requirements for Data Engineering, ML Engineering and Data Science teams.
- Experience working in a SaaS offering in one or many of the following: Accounting, Payroll, CRM, ERP, DMS, eCommerce/Digital Retail, and Analytics.
- Proven track record of launching AI-driven enterprise SaaS solutions at scale.
- Experience building teams and growing organisations.
- Deep understanding of LLMs, AI Agentic Platform, Generative AI and Predictive AI models
- Ability to navigate and lead cross-functional teams through complex AI product development lifecycles.
- Formal degree in a technical field such as Machine Learning, Statistics or Computer Science.
- 7+ years of product management experience, ideally building SaaS platforms.
- Familiarity with core AI platform elements such as Kubeflow, Pinecone, LangChain, etc.
- Knowledge of AI tooling stack across one/many public clouds and Data vendors such as AWS SageMaker, Azure ML, Google Vertex AI, Databricks, etc.
- Familiarity with LLM-based applications and AI-enhanced customer engagement tools.
- Strong technical acumen in cloud-based AI infrastructures and data pipelines.
- Experience in automotive, supply chain, or enterprise AI SaaS solutions.
- Experience managing large, technically complex engineering programs spanning multiple teams.
- A high degree of independent drive.