What are the responsibilities and job description for the Engineering Manager position at forethought?
Launched in 2018, Forethought offers the world’s most advanced AI agents for CX — enterprise-ready and built for every customer moment. Handling billions of monthly interactions for leading companies like Upwork, Grammarly, Airtable, and Datadog, Forethought’s AI agents think, act, and improve — delivering better customer experiences and scalable business impact.
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.