Senior Software Engineer, Moveworks

Agentic AI platform

$200-257k

+ Equity

Senior level
San Francisco Bay Area

Office located in Mountain View, CA

Moveworks

Enterprise-built conversational AI platform

Open for applications

Moveworks

Enterprise-built conversational AI platform

501-1000 employees

B2BArtificial IntelligenceEnterpriseCommunicationAutomation

Open for applications

$200-257k

+ Equity

Senior level
San Francisco Bay Area

Office located in Mountain View, CA

501-1000 employees

B2BArtificial IntelligenceEnterpriseCommunicationAutomation

Company mission

To make getting instant help at work effortless for employees.

Role

Who you are

  • Ever wondered how to apply abstraction, scalability, and optimization to a dynamic, probabilistic, and generative conversational system? If so, we invite you to join our Conversation Engine team
  • A strong foundation in computer science and software engineering, coupled with expertise in building scalable systems
  • A deep understanding of clean, modular, and scalable API design. You have the ability to champion best coding practices and influence fellow engineers to uphold high standards of code quality and craftsmanship
  • A passion for optimizing systems and improving performance. You are well-versed in tracing, logging, and metrics frameworks, and possess a systematic approach to quickly identify and resolve latency bottlenecks, race conditions, and throughput limitations
  • The ability to independently research new requirements and develop innovative solutions. You thrive in an environment of fast-paced coding and execution, embracing rapid iterations to deliver results
  • Strong communication skills to effectively articulate rationales and design approaches. You have a cross-functional awareness that enables you to collaborate seamlessly with various teams
  • A bachelor's degree or higher in computer science or a related field, demonstrating your academic foundation in the field
  • 5+ years of professional development experience, specifically in building systems at scale

Desirable

  • Experience with scaling ML systems
  • Experience with Agentic AI product or LLMs

What the job involves

  • Are you up for an exciting challenge? Picture yourself scaling and optimizing a cutting-edge Generative AI product that offers instant assistance to enterprise users
  • At our company, you'll have the unique opportunity to work at the core of Moveworks Generative AI product
  • Your main focus will be scaling and optimizing it to meet the growing demands of the enterprise solution space
  • As pioneers in enterprise AI, we don't follow a set formula for building the next solution. Instead, we encourage you to bring your innovative ideas and imagination to solve unsolved problems
  • You'll collaborate closely with machine learning experts and cross-functional teams, rapidly iterating over new ideas, and leveraging user behavior data to make informed decisions
  • Your challenge will be to scale and optimize our conversation engine to support hundreds of millions of users, across multiple chat channels and use cases, and enhance our end-to-end product infrastructure with the utmost engineering quality and robustness
  • Construct an extensive product infrastructure, complete with user-friendly interfaces that empower engineers and configurators to effortlessly customize and optimize generative AI models
  • This includes collecting data and feedback, adapting to diverse enterprise use cases and business contexts, and delivering domain-specific conversational experiences
  • Design scalable API abstractions for our conversation platform, which supports all popular chat clients (for example, MSTeams, Slack, and Web) and offers a neutral API for developing other parts of the engineering system
  • Optimize the dialog engine to accommodate a wide range of conversational features, leveraging private domain knowledge unique to each enterprise customer in the cloud, and enable real-time multilingual translation
  • You will achieve this with minimal memory footprint, low latency, and streamlined development process for application engineers
  • Champion the best practices for coding patterns, API design, scalability, robustness, and optimization. Foster a culture of excellence and continuous improvements among fellow engineers
  • Provide comprehensive insights and visibility into the performance of our conversational AI product
  • This involves implementing a robust logging and tracing framework, user-friendly debugging and triaging tools, and automated metrics for efficient monitoring and analysis
  • Collaborate closely with ML engineers, application engineers, product teams, and customer support teams to drive the development of new features and scalability initiatives

Our take

Moveworks provides IT service and helpdesk support through an AI-driven chatbot. Its system utilizes information about an employee, such as their role and seniority level, to deliver the correct information or carry out processes. Moveworks claims to solve 30% of IT support tickets within weeks of implementation.

In 2024, Moveworks opened a data center in Australia and its service has seen strong uptake from large enterprise-level companies, where IT teams deal with hundreds of requests at a time, helping to minimize backlog and gain back employee time. As more and more workers move from office to home or hybrid, IT support requests have boomed, opening up the opportunity for Moveworks to expand its client pool and provide solutions to help with this change.

Competitors such as Electric offer similar automated IT support services, but Moveworks has invested heavily into creating an AI system that is conversational and easy to use. Automated solutions with machine learning capabilities can also identify cost-saving opportunities. When unused software licenses are estimated to cost companies billions of dollars a year, there is money to be made by identifying and removing these avoidable costs through AI.

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Steph

Company Specialist at Welcome to the Jungle

Insights

Top investors

Few candidates hear
back within 2 weeks

97% employee growth in 12 months

Company

Funding (last 2 of 3 rounds)

Jun 2021

$200m

SERIES C

Nov 2019

$75m

SERIES B

Total funding: $305m

Company benefits

  • Fully paid medical, dental, and vision coverage with no premiums
  • Fully paid short-term disability, long-term disability, and life insurance
  • Free daily meals
  • Unlimited PTO
  • Unlimited paid sick days
  • 16 weeks of 100% paid parental leave
  • Medical, family care, and military leave
  • Competitive salary — we’re one of the best-paying companies in the Bay Area
  • 401(k) with matching
  • Equity and stock options
  • Commuter and parking benefits

Company HQ

Mountain View, CA

Leadership

After an MA at Stanford, Bhavin worked as a Director at LeapFrog Enterprises before co-founding Gazillion after 5 years in 2005. They left their CEO role at Refresh to co-found Moveworks in June 2016.

Vaibhav started their career as a Stanford University Research Scientist before working for Aster Data as a Software Engineer. Having started ClearStory Data in 2011, they co-founded Moveworks in 2016.

Varun Singh

(President)

Varun worked for half a decade as SVP of Product at Sefaira before spending 2 years as Lead Product Manager at Facebook. They left in 2016 to co-found Moveworks.

Jiang Chen

(CTO of AI)

Jiang took a PhD at Yale in Computer Science before working as a Columbia Research Scientist and spending 7 years at Yahoo! and Google. After a year at Airbnb, they co-founded Moveworks.

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