Key Responsibilities

• End-to-End Project Ownership: Lead the delivery of complex AI software projects from discovery through to deployment. You will be responsible for maintaining momentum and removing blockers in a highly dynamic environment.
• Agile Leadership: Facilitate sprint planning, daily stand-ups, and retrospectives. You’ll tailor Agile methodologies (Scrum, Kanban, or hybrid) to fit the unique, often non-linear lifecycle of AI development.
• Stakeholder & Partner Management: Serve as the primary point of contact for external clients and strategic partners. You will manage expectations, provide transparent progress updates, and navigate technical discussions with non-technical stakeholders.
• Resource & Capacity Planning: Work closely with Engineering Leads and Product Managers to ensure the right talent is focused on the right priorities at the right time.
• Risk Mitigation: Identify potential bottlenecks in the AI pipeline—such as data availability or model training delays—and proactively develop contingency plans.
• Continuous Improvement: Standardize delivery processes to improve velocity and quality, ensuring we can scale our AI offerings without losing agility.

What We’re Looking For

1. Experience

• 5 – 10+ years in a Delivery Manager, Project Manager, or Program Manager role within a software-led organization.
• Proven experience delivering SaaS or AI/Machine Learning products.
• Expertise in Agile frameworks and proficiency with tools like Jira, Linear, or Monday.com.

2. Skills & Attributes

• Communication: Ability to translate "AI-speak" into business value for clients.
• Resilience: You thrive in "fast-paced" environments where priorities can shift quickly.
• Technical Literacy: While you don’t need to code, you should understand the basics of the software development life cycle (SDLC) and how AI models are deployed.
• Relationship Building: A natural ability to build trust with both engineers and business stakeholders.

Here is a presentation with extra information about the company:

Anonymised Presentation (1) (1).pdf