Senior Engineering Manager, Core Infrastructure

Who We Are

Moveworks is on a mission to make language the universal UI. We give enterprises a conversational interface that works across every system — from Microsoft to Workday to Salesforce. Powered by GPT-class machine learning models, the Moveworks platform learns the unique language of each organization to solve thousands of use cases. Brands like Databricks, Broadcom, DocuSign, and Palo Alto Networks leverage Moveworks’ proprietary enterprise data, out-of-the-box solutions, and intuitive developer tools to bring conversational automation to all aspects of their business.

Founded in 2016, Moveworks has raised $315 million in funding, at a valuation of $2.1 billion. We’ve been named to the Forbes AI 50 list for five consecutive years while earning recognition as the winner of the 2023 Edison Awards for AI Optimized Productivity, and as the Best Bot Solution at the 2022 AI Breakthrough Awards. 

Moveworks has over 500 employees in six offices around the world, and is backed by some of the world's most prominent investors, including Kleiner Perkins, Lightspeed, Bain Capital Ventures, Sapphire Ventures, Iconiq, and more.

Come join one of the most innovative teams on the planet!

What You Will Do

As a technical lead and manager of the core infrastructure team, you will be responsible for leading the team in building the Moveworks AI infrastructure. As Moveworks grows fast, the infrastructure team is tasked with designing and operating reliable and resilient foundational services as well as frameworks that allow our product to scale seamlessly and our engineering teams to build customer facing features very rapidly.
We’re building a team that indexes on moving fast, solving challenging product/engineering problems and providing value to our customers. To be successful, you'll be partnering with machine learning, search, product, data, and full stack teams to identify, define and build elegant solutions. This is an opportunity to play an integral role at the fastest-growing AI startup in its space.

• Oversee and evolve Moveworks infrastructure architecture and foundation services such with extremely high reliability, scalability, performance, and security.
• Closely work with machine learning, search, product, data, and frontend teams, understand their infrastructure needs, influence infrastructure roadmap, and lead as well as execute on various projects.
• Architect and build out the core infrastructure and foundational functionalities such as distributed key value store, schema-less data store, authentication and authorization, event streaming, distributed configuration management and hot reloading, rate limiting and circuit breaking, system for feature flags and A/B testing, traffic capture and replay, search infrastructure, etc.
• Define methodologies and metrics to measure performance of Moveworks infrastructure services, identify and fix bottlenecks, as well as improve overall performance and scalability of Moveworks stack.
• Hire and mentor engineers in the team and foster a culture of technical excellence, collaboration and continuous improvement.

What You Bring To The Table

• Hands on technical leader with a strong sense of ownership - proactively leading complex platform and infrastructure initiatives from conception through delivery and measurement.
• 3+ years of experience growing and managing team with 5+ engineers including senior engineers.
• 7+ years of hands on experience designing, building, shipping, and maintaining highly scalable and fault tolerant backend distributed systems.
• Familiarity with Python/Golang/Java/C++.
• Experience with containers/Docker, and with cloud infrastructure like AWS/GCP/Azure.
• Experience working with and operating open source technologies like Kafka, Elasticsearch or Opensearch, Istio, etc. at scale.
• Experience with search and ML infrastructure is plus.
• Excellent verbal and written communication skills, with the ability to influence all levels of the organization and translate complex platform concepts into clear business value.
• Desire to work at a startup pace in a small company with a high degree of ownership.
• Experience solving for performance, optimization, scalability, latency, and monitoring.
• BS+ in computer science or a related field.
• High level of curiosity about engineering outside of your immediate discipline and an incessant desire to learn.

Compensation Range: $187,000-328,000