AI Tech Lead Manager

About Enterpret

Enterpret is at the forefront of AI-native applications, unlocking the power of customer feedback for businesses. We centralize feedback from various sources, providing actionable insights to drive customer-centric decisions. Our customers include leading companies like Canva, Descript, and Notion. Backed by top-tier investors like Kleiner Perkins and Sequoia India, we are committed to transforming how businesses understand and act on customer feedback.

Read more about our team, core values, and operating principles - here .

Role Overview

As the Tech Lead Manager of Applied AI Engineering at Enterpret, you will lead a team of talented engineers and researchers to develop and deploy state-of-the-art AI solutions that drive our products. You will play a critical role in bridging the gap between cutting-edge AI research and practical, scalable applications, ensuring that Enterpret stays ahead in leveraging AI for customer feedback analysis.

Key Responsibilities

1. Build Cost-Efficient, High-Performance Models
   • Lead the development of AI models that are both cost-effective and highly performant.
   • Ensure models are thoroughly evaluated and meet the highest standards of accuracy and reliability.
2. Foster a Culture of Rapid Experimentation
   • Establish and promote processes that encourage quick iterations and experimentation.
   • Encourage team members to test innovative ideas and learn from outcomes swiftly.
3. Champion Customer Obsession
   • Embed a customer-first approach in all AI initiatives.
   • Collaborate closely with customer success teams to gather feedback and tailor AI solutions to real customer needs.
4. Drive the Feedback Flywheel
   • Implement mechanisms to collect data that tracks model performance effectively.
   • Utilize feedback loops to continuously improve AI models based on real-world usage.
5. Cross-Team Collaboration for AI Innovations
   • Work collaboratively with annotation, GTM (Go-To-Market), and product teams.
   • Build AI applications leveraging advancements in LLMs, such as enhanced reasoning capabilities and agentic systems.

About You

• Startup Experience: Previous experience working in early-stage startups, thriving in dynamic and fast-paced environments.
• LLM Expertise: Proven track record of building and shipping successful applications powered by Large Language Models.
• Leadership Skills: Demonstrated ability to lead and inspire engineering teams, fostering a culture of excellence and innovation.
• Innovative Mindset: Deep awareness of the latest advancements in AI and a passion for applying them to solve real-world problems.
• Customer-Centric Approach: Strong commitment to understanding and addressing customer needs through AI-driven solutions.
• Collaborative: Excellent communication skills with the ability to work cross-functionally across teams.

Benefits and Perks

• Autonomy and Ownership: Influence and shape the future of an early-stage startup.
• Competitive Compensation: Highly competitive salary and early-stage startup equity.
• Cab to and from Office, Food at Office: Enterpret sponsors travel to and from the office and provide meals so you can focus on doing your best work.