This role is for one of the Weekday's clients

As the AI Tech Lead Manager, you will act as a principal investigator, bridging advanced AI research with real-world applications. This role is ideal for someone passionate about cutting-edge AI technologies and eager to take on a leadership position while remaining hands-on. You will lead a team of talented engineers and researchers, tackling complex problems and driving innovation in customer feedback analysis.

Requirements

Key Responsibilities

1. Lead Advanced AI Research and Innovation

• Serve as the go-to expert for solving challenging technical problems.
• Conduct in-depth research to develop innovative AI solutions.
• Run Proof-of-Concept (PoC) projects to explore new technologies and validate approaches.
• Optimize and manage model deployment costs.

2. Collaborate with Cross-Functional Teams

• Work closely with product and engineering teams to align AI initiatives with business goals.
• Translate complex product requirements into clear technical tasks.
• Ensure smooth integration of AI solutions into existing systems.
• Oversee timely project delivery.

3. Mentor and Guide the AI Team

• Break down complex challenges into actionable tasks for team members.
• Mentor and guide engineers, fostering a culture of excellence and learning.
• Encourage autonomy, minimizing the need for micromanagement.

4. Drive Rapid Experimentation and Iteration

• Establish agile processes to enable quick iterations and experimentation.
• Foster a culture of innovation where ideas are tested, refined, and improved rapidly.

5. Champion Customer-Centric Solutions

• Instill a customer-first mindset in AI initiatives.
• Work with customer success teams to understand user needs and tailor AI solutions accordingly.

About You

✅ Research Expertise – Strong AI research background with experience in applying advanced techniques to real-world problems. Experience handling an annotation team is a plus.

✅ Leadership Ambition – Ready to take on a leadership role while continuing hands-on AI research and development.

✅ Problem Solver – Ability to tackle complex AI challenges and develop innovative solutions.

✅ Collaborative Mindset – Excellent communication skills, a humble attitude, and the ability to work cross-functionally.

✅ Startup Experience – Thrives in fast-paced, dynamic environments, preferably with early-stage startup exposure.

✅ LLM Expertise – Proven experience in building and deploying Large Language Model (LLM)-powered applications.

✅ Customer-Centric Approach – Deep commitment to understanding and addressing customer needs through AI-driven solutions.