Software Engineer, Core Platform

Reposted 8 Days Ago
Mountain View, CA
In-Office
100K-210K Annually
Mid level
Artificial Intelligence • Information Technology • Machine Learning • Natural Language Processing • Software
The AI copilot that takes the friction out of work.
The Role
As a Software Engineer on the core platform team, you'll design, build, and maintain enterprise products leveraging machine learning. Key responsibilities include developing reliable platform components, collaborating across teams, and improving existing systems.
Summary Generated by Built In
What You Will Do:

As a member of the core platform team, you will play a key role in shaping the evolution of moveworks conversational AI platform. You will have the opportunity to - build enterprise products that solve real world problems by leveraging our machine learning platform, build the foundational frameworks and services which abstract away the product needs and provide scalable and reliable building blocks, build the enterprise data platform for various product needs. You'll be partnering with product management, user experience, customer success, machine learning and other engineering teams to identify, define and build elegant solutions.

  • Design and build highly reliable, performant and secure platform building blocks
  • Influence the platform team roadmap and own the evolution of multiple platform areas
  • Partner within and across engineering teams to provide cross cutting solutions
  • Consistently deliver deadline sensitive work that is interdependent with other engineering teams
  • Challenge the status quo and be responsible for continuous improvement of the platform
  • Regularly participate in peer code and engineering design reviews
What you bring to the table:
  • Experience designing, building, shipping, and maintaining products or platforms
  • B.S./M.S. in Computer Science or an equivalent field
  • Experience building and integrating with API-based platforms and have a good understanding of REST and other RPC based systems
  • Experience building and maintaining microservices in Python/Golang/Java/C++
  • Desire to work at a startup pace with a high degree of ownership
  • Demonstrated ability to communicate complex engineering concepts concisely and clearly to product and other cross-functional stakeholders
  • Strong motivation, gumption, and an appetite for continuous, incremental changes and completing challenging projects fast
  • High level of curiosity about engineering outside of your immediate discipline and an incessant desire to learn
  • Willingness to learn and an openness to giving and receiving feedback
Nice to have:
  • Experience working with Machine Learning products 

Compensation Range: $100,000 - $210,000

*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.

Who We Are 

Moveworks is an AI Assistant that helps all employees find information, automate tasks, and be more productive. We give the entire workforce one interface to get answers and take action across every enterprise system. And for developers, we make it easy to build and deploy AI agents that bring the power of Moveworks to every business process or workflow.

It’s all powered by a pioneering Reasoning Engine paired with an Agentic Automation Engine that, together, are able to handle even the most complex requests by understanding queries, then building and executing intelligent plans to fulfill them — in seconds.

Founded in 2016, Moveworks has raised $315M in funding, and eclipsed $100M in ARR in 2024 thanks to our award-winning product and team. Along the way, we’ve earned recognition as a leader in the Forrester Wave for Conversational AI Platforms for Employee Services, as a member of the Forbes Cloud 100 and AI 50 lists, and as one of America’s Most Loved Workplaces according to Newsweek. 

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

Over 350 leading organizations like Marriott, Databricks, Toyota, CVS Health, and Honeywell trust Moveworks to increase operational efficiency, enhance the employee experience, and drive lasting AI transformation.

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

Top Skills

Python,Golang,Java,C++
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The Company
HQ: Mountain View, CA
485 Employees
Year Founded: 2016

What We Do

The Moveworks Copilot unifies every business system, giving employees one place to go to find information and automate tasks, increasing employee productivity by simplifying work. Powered by a genAI infrastructure that leverages the world’s most advanced LLMs and our proprietary MoveLM models, the Moveworks Copilot understands employee requests, devises intelligent plans, then executes actions to get work done across application boundaries.

The world’s most recognizable brands like Databricks, Broadcom, Hearst, and Palo Alto Networks trust Moveworks to automate repetitive support issues, to provide a universal search interface, and for common use cases across different applications. Learn more at Moveworks.com.

Why Work With Us

Company culture is difficult to distill. Sure, we could tell you about our 5-star rating on Glassdoor, or about how we were named to the Forbes AI 50 list. But the truth is that no talking point can capture what it’s like to work alongside this team every day, as we continue to push the boundaries of what’s possible with enterprise AI.

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