Technical Project Manager

Responsibilities

• Define product vision, strategy, and roadmap for AI-driven products in alignment with company goals.
• Design and guide product architectures with scalability, performance, and security in mind (preferably cloud-based).
• Translate market research, client feedback, and business needs into technical documentation including BRDs, PRDs, product features, and user stories.
• Own the full product lifecycle: concept → design → development → launch → iteration.
• Collaborate with engineering and data science teams to scope projects, set timelines, and manage deliverables.
• Drive execution of multiple AI/ML initiatives in parallel, ensuring timely delivery and product quality.
• Identify risks, dependencies, and constraints while providing proactive solutions.
• Act as a liaison between business stakeholders and technical teams to maintain clarity and alignment.
• Stay ahead of emerging AI/ML trends and integrate them into product strategy and roadmap.

Qualifications

• 6+ years of combined experience in Technical Project Management, Product Management, or Product Ownership.
• Proven track record of defining and launching scalable AI or SaaS products.
• Strong expertise in product roadmap development, technical architecture design, and end-to-end delivery.
• Ability to create clear and detailed BRDs, PRDs, and technical requirements.
• Solid understanding of AI/ML concepts, LLMs, and modern data/engineering workflows.
• Excellent communication and stakeholder management skills.
• Technical background (Computer Science, Engineering, or related field preferred).
• Bonus: Experience scaling or building AI functions in a greenfield environment.
• Cloud experience (AWS, Azure, or GCP) is highly desirable.

Job Type: Full-time

Application Question(s):

• How many years of experience do you have in Product Management or Technical Project Management?
• Have you previously worked on AI/ML or SaaS product development?
• Are you experienced in writing BRDs, PRDs, and technical documentation?
• Which cloud platforms (AWS, Azure, GCP) have you worked with?
• Do you have hands-on exposure to AI/ML concepts or LLM-based solutions?
• Current salary
• Desired Salary

Work Location: Remote