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Engineering Manager

Engineering Manager

ForethoughtSan Francisco, CA, United States
3 days ago
Job type
  • Full-time
Job description

Launched in 2018, Forethought is the first AI-native platform for enterprise customer support, built on a multi-agent architecture for omnichannel resolution. Trusted by leading companies like Upwork, Grammarly, Airtable, and Datadog, Forethought’s AI agents resolve billions of monthly support issues. The company has raised $115M+ in venture funding from top investors, including Blue Cloud Ventures, NEA, Village Global, and Sound Ventures, G2 has recognized Forethought as a High Performer in 2024 and Mid-Market Leader, Best Est. ROI, and Easiest to Do Business With in Customer Support for 2025.

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.
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