We’re looking for talented Engineering Manager with a growth mindset; managers who thrive on solving complex challenges and want to help shape the future of AI-driven customer support.

As a manager on the team, you’ll play a critical role in managing the team of engineers, helping with technical architecture, mentoring, while still being able to jump in and support on core development. Our product has over 1 billion monthly interactions so the work you and your team will do has a big impact for our customers. You will have an opportunity to lead a team building a  product that is a leader in our space using the latest models and techniques in AI. Our tech stack leverages modern technologies, including Docker, Kubernetes, Redis, MongoDB, and ElasticSearch

What You'll Be Doing (Responsibilities):

• Manage a team of product engineers (Full-Stack, Frontend, and Backend engineers) 
• Design engineering services that power Forethought’s core AI features, directly impacting the customer experience across our platform.
• Collaborate with product and design teams to translate user needs into scalable solutions that enhance customer support automation.
• Scale and optimize our product to handle over 1 billion monthly interactions, ensuring high performance, reliability, and efficiency across all customer touchpoints.
• Partner with AI/ML engineers to integrate LLM-based capabilities into production workflows, with a focus on reliability, observability, and speed.
• Drive technical excellence by owning projects end-to-end—from architecture and implementation to deployment and monitoring.

Who You Are (Requirements): 

• A Bachelor’s or Master’s degree in Computer Science, Statistics, Informatics, Information Systems, or a related field is preferred.
• Demonstrated 7+ years of experience in a software engineering role is required.
• Experience managing a team of engineers. 
• Expertise in Python is essential with proficiency in one of the mainstream Python frameworks (FastAPI/Django/Flask)
• Proven experience in constructing large-scale distributed systems is necessary.
• Ability to craft high quality, well-tested code to address customer requirements.
• Experience with MongoDB, Redis, and Elasticsearch is preferred.
• Experience working with generative AI frameworks (e.g., LangChain, RAG pipelines, multi-agent systems) is a plus.
• Familiarity with integrating and building applications on top of large language models (e.g., OpenAI, Anthropic, open-source LLMs) is highly valued.