Role Overview :

We are looking for an experienced Project Manager with traditional project management skills, deep technical knowledge of AI/ML, and a strong understanding of the fast-paced, scaling environment of a startup.

You will be the crucial link ensuring our ambitious AI roadmap translates into scalable, high-quality, shippable SaaS products. You will own the end-to-end delivery of complex, cross-functional projects involving Data Scientists, ML Engineers, Software Developers, and Product Managers.

Responsibilities :

- Lead the delivery across Engineering, AI/ML, DevOps, QA, and Product teams.

- Define project scope, goals, and deliverables, translating complex business needs into structured technical requirements.

- Oversee the entire lifecycle, including managing data pipelines, model development, testing, and deployment.

- Ensure projects adhere to AI ethics, compliance, and data security standards.

- Develop detailed project plans, including timelines, milestones, and resource allocation.

- Own deadlines, dependencies, risks, and escalation across all project facets.

- Monitor progress, track budgets, and ensure resource availability.

- Lead and mentor teams, enforcing accountability.

- Facilitate strong stakeholder and executive communication.

Requirements :

- Bachelor's degree in Computer Science, Engineering, or IT; Master's degree preferred.

- 5+ years of experience managing complex SaaS or cloud-native platforms, with specific experience in AI, machine learning, or data science projects.

- Excellent skills in project management methodologies (Agile, Scrum). Jira experience preferred.

- Strong understanding of core AI concepts (Deep Learning, NLP) and development lifecycles.

- Familiarity with AI development tools (TensorFlow, PyTorch) and cloud AI platforms (Azure AI, AWS AI).

- Scale-up mindset : thriving in high-growth, ambiguous environments.

- Familiarity with IT governance standards like SOC, ISO 27001.

Preferred Qualifications :

- Ability to evaluate data quality and work effectively with datasets.

- PMP or Agile certifications (PMI-ACP, CSM).

- Experience in travel, hospitality, or global company environments.

- Exposure to rapid-growth SaaS startups.