Who We Are
Moveworks is the copilot platform for automating employee support, empowering our customer’s workforce to converse with all of their business systems through natural language. Powered by the world’s most advanced LLMs and our proprietary MoveLM models, our copilot enables users to search information, automate tasks, and create content with generative AI.
Brands such as Databricks, Broadcom, DocuSign, and Palo Alto Networks leverage Moveworks to automate support, enhance employee experience and productivity, and navigate critical business initiatives.
Founded in 2016, Moveworks has raised a total of $315 million in funding, and was most recently at $2.1 billion, thanks to our award-winning product and team. In 2023, we were included in the Forbes Cloud 100 list as well as the Forbes AI 50 for the fifth consecutive year. We were also recognized by the 2023 Edison Awards for AI Optimized Productivity, and were included on Fast Company's Most Innovative Companies list for 2024!
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
- Take on exciting and difficult engineering challenges (see areas listed above) to build and evolve AI capable agent systems that are reliable in every sense of the word
- Define roadmap and own the evolution of engineering areas of increasing scope and impact and create lasting value for all our customers
- Implement frontier AI algorithms and architectures and productionize them at scale
- Use the latest advances in machine learning, LLMs, and AI agents to enhance our products and create delightful user experiences
- Continue to hone your craft in writing robust, extensible, readable, and performant code
- Partner with subject matter experts across the company including security, product, user experience, and customer success
- Mentor other engineers on the team in how to build, maintain, and evolve great software
- Collaborate with machine learning engineers, learn from each other, and build the best AI systems the world has ever seen
What You Bring To The Table
- 4+ years experience designing, building and improving scaled production systems
- Ability to think and communicate clearly about complex engineering problems and systems
- Comfort giving and receiving feedback, and in holding yourself and fellow Movesters accountable to a high standard of operational excellence
- Readiness to hit the ground running in a Mac development environment, programming in Python and/or Golang
- Desire to work at a startup pace in a medium-sized company with a high degree of ownership
- Attention to detail
- Drive to ship product improvements with production-grade code
- Strong appetite for continuous incremental wins and completing challenging projects fast
- High level of curiosity about engineering outside of immediate discipline and ongoing desire to learn and stay at the cutting edge of applied AI
Nice To Have
- Experience building with LLMs, particularly in iterating on prompts, on model selection, on cognitive architecture design, and on latency/correctness tradeoffs in a data-driven way
- Hands-on experience driving one or more stages of a machine learning problem-solving lifecycle, such as experiment setup, dataset curation, model training, offline evaluation and error analysis, deployment, and online evaluation
- Experience in AI fairness, privacy, permission controls, safety, and/or security
Compensation Range: $200,000 - $257,000
*Our compensation package includes a market competitive salary, equity for all full time roles, exceptional benefits, and, for applicable roles, commissions or bonus plans.
Ultimately, in determining pay, final offers may vary from the amount listed based on geography, the role’s scope and complexity, the candidate’s experience and expertise, and other factors.
Moveworks Is An Equal Opportunity Employer
*Moveworks is proud to be an equal opportunity employer. We provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other characteristics protected by law.