The Opportunity: Architecting the Future of UI Development

This is not a typical engineering role. You are a product-minded builder, a systems thinker, and a passionate advocate for quality and consistency. You understand that a mature design system is the single most important lever to pull to unlock massive gains in productivity, improve user experience, and create a predictable, machine-readable environment where AI tools like Claude Code and Cursor can thrive.

You will have the autonomy and resources to own our design system from the ground up. Your work will directly empower our product teams to build higher-quality features faster and will be the critical enabler for our strategy of leveraging AI to instantly translate design specs into pixel-perfect, production-ready code.

What You'll Do

• Architect & Build: Design, build, and maintain a robust, scalable, and accessible library of reusable front-end components in React/TypeScript.
• Establish a "Token Economy": Implement and govern a comprehensive system of design tokens (colors, typography, spacing, etc.) that ensures consistency across all platforms (web, mobile).
• Full-Stack Integration: Develop backend APIs, services, and tooling necessary to support the design system, such as asset pipelines, documentation servers, and versioning management.
• Govern & Evangelize: Create crystal-clear documentation, contribution guidelines, and decision-making frameworks. Act as the primary advocate for the design system, driving adoption across all engineering, design, and product teams.
• Optimize for AI Consumption: Structure component APIs, props, and documentation with the explicit goal of making them easily understandable and usable by AI code generation tools. You will define the "language" our AI assistants speak.
• Tooling & Automation: Own the entire lifecycle of the design system's infrastructure, including our Storybook instance, automated testing, and CI/CD pipelines for publishing and versioning components.
• Collaborate & Lead: Partner closely with senior leadership in Product Design and Engineering to define the roadmap for the design system and ensure it aligns with the company's strategic goals. Mentor other engineers on best practices for component design and system thinking.

Who You Are

• A Seasoned Engineer: You have 4+ years of professional software development experience, with a strong focus on front-end architecture and full-stack capabilities.
• A Design System Expert: You have proven, hands-on experience leading the development of a design system from concept to production at scale. You can point to a library of components you have built and are proud of.
• Technically Fluent: You possess expert-level knowledge of modern web technologies, including React, TypeScript, CSS-in-JS (or similar), Storybook, and Figma. You are also proficient with backend technologies like Node.js, GraphQL, or Python.
• Passionate About Quality: You have an incredible eye for detail and a deep commitment to accessibility (WCAG), performance, and writing clean, maintainable code.
• A Systems Thinker: You excel at abstracting complexity into simple, elegant, and reusable patterns. You think in terms of systems, not one-off solutions.
• An Excellent Communicator: You can articulate complex technical concepts to both technical and non-technical audiences. You build consensus and inspire others to adopt new standards.
• Forward-Thinking: You are genuinely excited about the potential of AI in software development and are eager to build the foundational systems that will unlock its power.

Senior Software Engineer II, Fullstack

As a Senior Fullstack Engineer on the web team, you will play a lead role in creating the next generation of the Moveworks Agentic Assistant ecosystem. The ability to leverage ML and Generative AI intelligence for the fullstack makes it innovative and fun! Join us, and you'll find yourself in a unique playground, working on web applications that directly impact every Moveworks customer. In other words, we needed you here yesterday!

We're crafting an enterprise-focused GAI ecosystem. You'll shape diverse functionalities, cater to various user personas, and forge a solution that meets enterprise needs. Your role spans designing AI powered agent builder experiences and creating robust UI frameworks with scalable, reliable building blocks.

What you will do:

• Design and implement AI powered agent builder product features using cutting-edge technical approaches to deliver business value. 
• Expand the product's reach to more customers, domains, and global markets, ensuring high quality engineering implementation. 
• Architect and build out Moveworks web technology stacks such as authentication, event tracking, application platform, and design systems.
• Promote best practices and standards to build modular and scalable web apps and APIs between backend services.
• Work closely with the product, ML and engineering teams to augment user experience, find creative solutions to fill in gaps in technology, and increase customer adoption.
• Work at a startup pace in a small company with a high degree of ownership 

What you bring to the table:

• BS or higher degree in computer science or a related field, or equivalent relevant experience 
• 5+ years of professional development experience in building complex web applications
• Experience with major modern Web UI framework (e.g. ReactJS) and experience building UI at scale
• Strong product sense and a passion for building scalable web or conversational UI products
• Excellent cross-functional collaboration skills
• A constant thirst for learning and a willingness to get out of your comfort zone

Nice to Have

• Experience working with AI Agent products 

What You Will Do

We are looking for senior/staff engineers to join our GenAI Search Platform team to improve our search-based question answering systems, utilizing both traditional machine learning and cutting-edge generative AI technologies. At Moveworks, we build conversational search systems to provide instant answers to enterprise users’ questions. We deliver business intelligence support by combining modern information retrieval with the latest advancement in natural language understanding, including LLMs (large language models). By accurately retrieving, matching, ranking, and summarizing text snippets grounded in heterogeneous knowledge sources, our search products are reshaping the enterprise search experience for millions of our customers’ employees.

For the Search Platform, we are looking for passionate leaders who can provide technical direction and thoughtful coaching to our team of search and machine-learning engineers. The search platform team works closely with the ranking, product, design, infrastructure and data science teams to drive our agentic search products to the next generation of capabilities focusing on performance and enterprise readiness.

We’re building a team that thrives on moving fast, solving challenging product and engineering problems, and providing value to our customers. To be successful, you'll be partnering with product, user experience, customer success and other engineering teams to identify, define and build elegant solutions. 

• Architect powerful, elegant abstractions to enable ranking and product teams to contribute safely and easily to the codebase.
• Develop algorithm frameworks to support diverse conversational search applications such as multi-turn multi-hop question answering systems.
• Drive the development of our search platform with new LLM-enabled generative AI features in a fast-paced environment. This platform would enable product teams to build new applications and features quickly, ship new prototypes to customers at scale, evaluate and iterate on ranking improvements in a systematic manner, and enforce guarantees on quality, security, privacy and scalability.
• Develop systematic evaluation metrics and methodology for our search models, leveraging LLMs to address unique challenges in the enterprise such as security and privacy.
• As a technical leader, you will help build a high-performing team with an inclusive and positive team culture.
• As a technical leader, you will iterate on our interview processes, and close candidates to help grow the team. You will also coach and mentor engineers at different levels to achieve their career goals.

What You Bring To The Table

• 5+ years of engineering with 2+ years of experience as a senior engineer (technical lead) leading a team of software engineers.
• Passionate about helping product and ranking teams move faster and scale their solutions better in an environment where everyone cares deeply about customer impact and success.
• First-hand experience relevant to search platforms such as traditional information retrieval, search ranking and relevance, recommendation systems, or question answering systems.
• Background in text processing, information retrieval, natural language understanding, or machine learning.

Nice to Have

• Experience with (or desire to learn) large language models, retrieval augmented generation (RAG), and agents.
• Experience in Python. Contributing to mature python libraries or platform code, including open-source repositories is a nice to have.
• Experience in Golang (not required).

What You Will Do

We are looking for a search relevance engineer to work with a team to improve a search based question answering platform. At Moveworks, we build search technology to answer enterprise users’ tech questions instantly, by combining modern information retrieval methodology with the latest advancement in natural language understanding. Our core Search product value is achieved through the capability of accurately retrieving, matching and ranking text snippets extracted from heterogeneous knowledge sources, as direct answers to users’ requests. You will play a critical role in boosting answer quality by meeting the challenges such as lexical gap, semantic text understanding, and data sparsity.

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 product, user experience, customer success and other engineering teams to identify, define and build elegant solutions.

• Craft new ranking features and optimizing existing ones to enhance relevance metrics
• Develop algorithm framework to support diversified ranking features
• Design platform and tooling to enable parallel ranking experiments
• Develop metrics to evaluate ranking performance

What You Bring To The Table

• First-hand experience in traditional information retrieval techniques, or machine learning based ranking models
• Capable of deriving insights from query logs analysis and identifying areas of improvement for search quality
• Background in text processing, information retrieval, natural language understanding, or machine learning

Nice to Have

• Experience in Golang

As the leader of a team of talented search relevance engineers, your objective will be to measure and improve the ranking and relevance of our  AI-powered enterprise search applications. Since these applications also leverage large language models (LLMs), you will also be responsible for measuring and improving RAG-based objectives such as summarization, groundedness of responses, and citation correctness and completeness. You will guide the team to drive end-to-end development of machine-learning models, including data synthesis, feature engineering, experiment design, evaluation and more. Your team will play a pivotal role in improving our search relevance in a systematic and methodical manner as we scale to new customers, new types of data and use-cases, and will ultimately be accountable for the ranking quality of all our enterprise search products. 

Your team's ownership of search quality is crucial to the company's search product lines, with success measured by its enablement capabilities. You will enable your team members by facilitating  rapid iteration on model enhancements, allowing them to improve ML metrics with a clear understanding of performance tradeoffs and generalizability.

You will be responsible for guiding the team's technical direction, managing project timelines, and ensuring the robustness, efficiency, and innovation of our machine learning based search systems. Your team will collaborate closely with search infrastructure and platform engineers, and partner with product, design, and customer success teams to jointly achieve business objectives.

What You Will Do:

• Team Leadership:
• Recruit, hire, and mentor a high-performing team of machine learning engineers.
• Maintain a “ranking and relevance” mindset in your team, developing a thought leadership on our long-term relevance roadmap.
• Foster a collaborative and inclusive team culture, promoting knowledge sharing and continuous learning.
• Set clear goals, provide regular feedback, and promote professional growth and development of team members.
• Project Management:
• Develop and manage project plans, timelines, and budgets for machine learning initiatives.
• Ensure the successful execution of projects, from ideation and prototyping to production deployment.
• Collaborate with cross-functional teams to define project requirements and priorities.
• Technical Leadership:
• Drive the technical vision and strategy.
• Guide the integration and application of large language models (LLMs) and retrieval-augmented generation (RAG) techniques to enable modern, intelligent search experiences.
• Oversee the research, development, and deployment of machine learning models and algorithms.
• Stay current with the latest advancements in the field and ensure that our projects leverage cutting-edge technologies.
• Quality and Performance:
• Implement best practices for model development, data pipelines, and model evaluation.
• Monitor and optimize the performance, scalability, and reliability of machine learning systems.
• Ensure that our AI solutions meet high standards of accuracy and efficiency.
• Stakeholder Communication:
• Collaborate with leadership, product managers, customer success staff, and other teams to align machine learning initiatives with business goals.
• Provide regular updates and reports on project status, challenges, and successes to stakeholders.
• Communicate, collaborate, and build relationships with partner teams and peer teams to facilitate cross-functional projects

What you bring to the table:

• Master's degree in Computer Science specializing in Machine Learning  or a related field. A Ph.D. is a plus.
• 8+ years of experience in applied machine learning preferably in the ranking/relevance domain, including 3+ years in technical leadership or management roles. 
• Proven technical expertise that has been recognized at Staff Engineer (comparable to Google/Meta L6) or above level.
• Proven experience managing high-performing teams, including mentoring and supporting Staff-level (I6) or higher engineers, with a strong track record of delivering technically ambitious, production-grade projects.
• Proficiency in programming languages such as Python, Golang, C++.
• Excellent problem-solving and analytical skills.
• Strong communication skills.
• Knowledge of software engineering best practices and experience with deploying machine learning models in production environments.

The Role

Are you a software engineer who has honed your craft, partnership, and execution over years building and improving production systems, and are looking to apply your skills at the cutting edge of AI agents? This may be the role for you.

As a senior software engineer on our “agent lab” Natural Language Understanding team, you will play a central part in our mission: to advance the frontier of work that can be entrusted to agents to perform reliably at scale. You will have the opportunity to shape the evolution of the Moveworks AI Assistant platform in several of the following areas: agent orchestration, sandboxed file systems and code execution, latency optimization, agent memory, LLM self-reflection and improvement, execution environment simulation, enterprise knowledge graphs, and multimodal I/O. You will have all the tools of modern enterprise AI at your disposal, including best-in-class LLMs from providers like OpenAI.

Our team indexes on moving fast on scalable infrastructure, solving challenging product and engineering challenges, and pushing the envelope of value provided to customers. 

If you are looking to do the best work of your career with a bright, dedicated, and impact-driven team alongside you, we’d love to have a conversation.

What You Will Do:

• Take on exciting and difficult engineering challenges (see areas listed above) to build and evolve capable AI agent systems that are reliable in every sense of the word
• 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
• Influence roadmap and drive the evolution of engineering areas of increasing scope and impact to create lasting value for all our customers
• Hone your craft in writing robust, extensible, readable, and performant code
• Partner with subject matter experts across the company including in machine learning, security, product, user experience, and customer success, to learn from each other and build the best enterprise AI product the world has ever seen
• 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 world-class AI systems

What You Bring To The Table:

• ​​4+ years experience designing, building and improving production systems, ideally at scale
• Ability to think and communicate clearly about complex engineering problems and systems
• Comfort giving and receiving feedback, and in holding yourself and your coworkers accountable to a high standard of operational excellence
• Readiness to hit the ground running in a Mac development environment, programming in Python, Golang, and/or Java
• Desire to ship at a startup pace 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

The Role

Are you a software engineer who has honed your craft, partnership, and execution over years building and improving production systems, and are looking to apply your skills at the cutting edge of AI agents? This may be the role for you.

As a senior software engineer on our “agent lab” Natural Language Understanding team, you will play a central part in our mission: to advance the frontier of work that can be entrusted to agents to perform reliably at scale. You will have the opportunity to shape the evolution of the Moveworks AI Assistant platform in several of the following areas: agent orchestration, sandboxed file systems and code execution, latency optimization, agent memory, LLM self-reflection and improvement, execution environment simulation, enterprise knowledge graphs, and multimodal I/O. You will have all the tools of modern enterprise AI at your disposal, including best-in-class LLMs from providers like OpenAI.

Our team indexes on moving fast on scalable infrastructure, solving challenging product and engineering challenges, and pushing the envelope of value provided to customers. 

If you are looking to do the best work of your career with a bright, dedicated, and impact-driven team alongside you, we’d love to have a conversation.

What You Will Do:

• Take on exciting and difficult engineering challenges (see areas listed above) to build and evolve capable AI agent systems that are reliable in every sense of the word
• 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
• Influence roadmap and drive the evolution of engineering areas of increasing scope and impact to create lasting value for all our customers
• Hone your craft in writing robust, extensible, readable, and performant code
• Partner with subject matter experts across the company including in machine learning, security, product, user experience, and customer success, to learn from each other and build the best enterprise AI product the world has ever seen
• 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 world-class AI systems

What You Bring To The Table:

• ​​4+ years experience designing, building and improving production systems, ideally at scale
• Ability to think and communicate clearly about complex engineering problems and systems
• Comfort giving and receiving feedback, and in holding yourself and your coworkers accountable to a high standard of operational excellence
• Readiness to hit the ground running in a Mac development environment, programming in Python, Golang, and/or Java
• Desire to ship at a startup pace 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

What You Will Do

• Build out core infrastructure services and microservices that impact our machine learning, frontend, and platform teams.
• Build out core infrastructure for various functionalities such as: distributed configuration management, rate limiting, feature flag, A/B testing, and traffic capture and replay.
• Improve the performance, scalability and observability of the Moveworks cloud infrastructure.
• Deliver deadline sensitive work regularly that is interdependent with other engineering teams.
• Own features end-to-end, and regularly influence the infrastructure roadmap.
• This is a highly collaborative, in-person role, working cross functionally with Core and ML engineering teams, and more.

What You Bring To The Table

• 7+ years of experience designing, building, shipping, and maintaining 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, Vector DB, etc. at scale.
• Desire to work at a startup pace with a high degree of ownership.
• Experience solving for performance, optimization, scalability, latency, and monitoring.
• Strong motivation, gumption, and an appetite for continuous, incremental changes and completing challenging projects quickly.
• 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: $140,000 - $240,000

What You Will Do:

As a member of the DevOps team, you will be responsible for building and scaling the Moveworks AI cloud infrastructure and developer platform. 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.

• Closely work with platform, machine learning, search, data, and frontend teams, understand their DevOps and infrastructure needs, influence DevOps roadmap, and lead as well as execute on various projects
• Design, build, and manage the Moveworks cloud infrastructure across many regions / clouds ensuring security, scalability, performance, observability, resilience, and cost optimization
• Build and manage CI/CD pipelines with infrastructure as code and full automation to provision and manage Moveworks application stack across different environments
• Work with Moveworks’ security team on enhancing the security posture of the infrastructure

What you bring to the table:

• Hands on technical member with a strong sense of ownership - proactively leading complex platform and infrastructure initiatives from conception through delivery and measurement
• 7+ years of experience in DevOps engineering
• Strong technical expertise in designing and building AWS (or other) cloud infrastructure with extensive experience in managing AWS security groups, IAM roles, Elastic Load Balancers, Cloud Formation, and other cloud services
• Strong knowledge of VPN, AWS VPC, DNS, etc. and experience in troubleshooting network issues
• Experience with deploying and managing Kubernetes clusters, Istio, etc.
• Working knowledge of disaster recovery process and security areas such as data backup and recovery, replication, AWS KMS, certificate management, encryption, penetration testing, vulnerability scanning, security tools, etc.
• Comfortability with tools such as Jenkins, Terraform, Ansible, Helm, etc.
• An appetite for working at a startup pace on challenging problems with a high degree of ownership

Compensation Range: $143,200-243,400

As the Engineering Manager for the Machine Learning Infrastructure team, you will spearhead the development of the cutting-edge platform that powers Moveworks' conversational AI. This role is absolutely critical to the long-term scalability of our core AI product and, ultimately, the company.

Your primary mission is to lead a team of talented engineers in building, optimizing, and scaling the end-to-end systems for the entire ML/LLM lifecycle. This includes our infrastructure for distributed training and inference, model evaluation frameworks, and LLM latency optimization. You will guide the team's technical vision, balancing the operational demands of our core ML infrastructure with forward-looking research to build the next generation of LLMs using cutting-edge generative AI.

The frameworks your team builds serve as the foundation for all ML models in production, serving hundreds of millions of enterprise employees. Your contributions will be instrumental in shaping the Moveworks Enterprise Copilot platform and defining the future of AI-driven employee services.

What You Will Do:

• Lead, Mentor, and Grow a world-class team of ML and Systems Engineers, fostering a culture of innovation, ownership, and operational excellence that aligns with Moveworks' core principles.
• Own the Technical Vision and roadmap for the end-to-end ML platform that powers the entire lifecycle—from data synthesis and distributed training to ultra-low-latency inference and serving—for hundreds of production models, including our proprietary MoveLM series.
• Drive the Strategy for model performance and efficiency, making critical architectural decisions to optimize our GPU infrastructure for latency, throughput, and cost at massive scale.
• Partner with Leaders across agentic platform, search platform, product engineering, and core infrastructure teams to define and deliver the foundational infrastructure that will power the next generation of agentic AI experiences.
• Champion a Product Mindset for your platform, building powerful abstractions and tools that accelerate the velocity of machine learning engineers and researchers across the organization.

What you bring to the table:

• A Master's or Ph.D. in Computer Science, Machine Learning, or a related field.
• 5+ years of industry experience with a proven track record of leading or managing high-performing machine learning or infrastructure teams.
• Deep technical expertise in designing, building, and scaling end-to-end machine learning systems in production environments.
• Strong command of Python and experience with performant languages such as C++ or GoLang.
• Extensive experience with deep learning frameworks like PyTorch or Hugging Face.
• Hands-on experience with modern LLM infrastructure, including distributed training frameworks (e.g., Deepspeed) and inference/serving frameworks (e.g., vLLM, TensorRT-LLM, Kubernetes).
• A strategic mindset with experience balancing the demands of operating robust, scalable infrastructure with the need for forward-looking research and development.
• Excellent communication and collaboration skills, with experience working cross-functionally to deliver complex projects.

Nice to have:

• Experience working with Machine Learning products 

What You Will Do

As a senior member of the Core Infrastructure team, you will be responsible for architecting the next generation of 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.

• 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, etc.
• Improve observability and reliability of Moveworks systems by building and enhancing distributed logging, tracing, monitoring, and alerting infrastructure
• Define methodologies and metrics to measure performance of microservices and product functionalities, identify and fix bottlenecks, as well as improve overall performance and scalability of Moveworks applications
• Regularly deliver deadline sensitive work that is interdependent with other engineering teams

What You Bring To The Table

• 2+ years of experience designing, building, shipping, and maintaining 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. 
• 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 
• Strong motivation, gumption, and an appetite for continuous, incremental changes and completing challenging projects fast
• 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: $123,000 - $190,000

What You Will Do

As a member of the Core Infrastructure team, you will be responsible for architecting the next generation of 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.

• 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, etc.
• Improve observability and reliability of Moveworks systems by building and enhancing distributed logging, tracing, monitoring, and alerting infrastructure
• Define methodologies and metrics to measure performance of microservices and product functionalities, identify and fix bottlenecks, as well as improve overall performance and scalability of Moveworks applications
• Regularly deliver deadline sensitive work that is interdependent with other engineering teams

What You Bring To The Table

• Experience designing, building, shipping, and maintaining 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. 
• 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 
• Strong motivation, gumption, and an appetite for continuous, incremental changes and completing challenging projects fast
• 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: $105,000 - $155,000

What You Will Do

• Build out core infrastructure services and microservices that impact our machine learning, frontend, and platform teams.
• Build out core infrastructure for various functionalities such as: distributed configuration management, rate limiting, feature flag, A/B testing, and traffic capture and replay.
• Improve the performance, scalability and observability of the Moveworks cloud infrastructure.
• Deliver deadline sensitive work regularly that is interdependent with other engineering teams.
• Own features end-to-end, and regularly influence the infrastructure roadmap.
• This is a highly collaborative, in-person role, working cross functionally with Core and ML engineering teams, and more.

What You Bring To The Table

• 8+ years of experience designing, building, shipping, and maintaining 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, Vector DB, etc. at scale.
• Desire to work at a startup pace with a high degree of ownership.
• Experience solving for performance, optimization, scalability, latency, and monitoring.
• Strong motivation, gumption, and an appetite for continuous, incremental changes and completing challenging projects quickly.
• 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: $163,000-286,000

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, Vector DB, 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

The Role

Software Engineer, Agentic AI Systems (New Grad)

Are you a software engineer who has honed your craft through internships, research, and/or academic projects, and are looking to apply your skills at the cutting edge of AI agents? This may be the role for you.

As a software engineer on our “agent lab” Natural Language Understanding team, you will play an important part in our mission: to advance the frontier of work that can be entrusted to agents to perform reliably at scale. You will have the opportunity to contribute to the evolution of the Moveworks AI Assistant platform in several of the following areas: agent orchestration, sandboxed file systems and code execution, latency optimization, agent memory, LLM self-reflection and improvement, execution environment simulation, enterprise knowledge graphs, and multimodal I/O.

You will have all the tools of modern enterprise AI at your disposal, including best-in-class LLMs from providers like OpenAI. Our team indexes on moving fast on scalable infrastructure, solving challenging product and engineering problems, and pushing the envelope of value provided to customers. If you are looking to do impactful work with a bright, dedicated, and impact-driven team alongside you, we’d love to have a conversation.

What You Will Do:

• Take on exciting engineering challenges (see areas listed above) to build and evolve capable AI agent systems that are reliable in every sense of the word
• Implement frontier AI algorithms and architectures and help productionize them at scale, with support from senior engineers
• Use the latest advances in machine learning, LLMs, and AI agents to enhance our products and create delightful user experiences
• Execute on projects to create lasting value for all our customers
• Hone your craft in writing robust, extensible, readable, and performant code
• Partner with subject matter experts across the company including in machine learning, security, product, user experience, and customer success, to learn from each other and build the best enterprise AI product the world has ever seen
• Learn from and collaborate with senior engineers and machine learning engineers to build world-class AI systems

What You Bring To The Table:

• Strong programming fundamentals and experience building software through coursework, projects, internships, and/or research
• Ability to think and communicate clearly about engineering problems and systems
• Eagerness to learn, give and receive feedback, and hold yourself to a high standard of operational excellence
• Readiness to hit the ground running in a Mac development environment, programming in Python, Golang, and/or Java
• Desire to ship at a startup pace with a high degree of ownership
• Attention to detail
• Drive to ship product improvements with production-grade code (with guidance and iterative development)
• 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:

• Internship or research experience building production-quality software
• 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 with 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

The Role

Software Engineer, Agentic AI Systems (New Grad)

Are you a software engineer who has honed your craft through internships, research, and/or academic projects, and are looking to apply your skills at the cutting edge of AI agents? This may be the role for you.

As a software engineer on our “agent lab” Natural Language Understanding team, you will play an important part in our mission: to advance the frontier of work that can be entrusted to agents to perform reliably at scale. You will have the opportunity to contribute to the evolution of the Moveworks AI Assistant platform in several of the following areas: agent orchestration, sandboxed file systems and code execution, latency optimization, agent memory, LLM self-reflection and improvement, execution environment simulation, enterprise knowledge graphs, and multimodal I/O.

You will have all the tools of modern enterprise AI at your disposal, including best-in-class LLMs from providers like OpenAI. Our team indexes on moving fast on scalable infrastructure, solving challenging product and engineering problems, and pushing the envelope of value provided to customers. If you are looking to do impactful work with a bright, dedicated, and impact-driven team alongside you, we’d love to have a conversation.

What You Will Do:

• Take on exciting engineering challenges (see areas listed above) to build and evolve capable AI agent systems that are reliable in every sense of the word
• Implement frontier AI algorithms and architectures and help productionize them at scale, with support from senior engineers
• Use the latest advances in machine learning, LLMs, and AI agents to enhance our products and create delightful user experiences
• Execute on projects to create lasting value for all our customers
• Hone your craft in writing robust, extensible, readable, and performant code
• Partner with subject matter experts across the company including in machine learning, security, product, user experience, and customer success, to learn from each other and build the best enterprise AI product the world has ever seen
• Learn from and collaborate with senior engineers and machine learning engineers to build world-class AI systems

What You Bring To The Table:

• Strong programming fundamentals and experience building software through coursework, projects, internships, and/or research
• Ability to think and communicate clearly about engineering problems and systems
• Eagerness to learn, give and receive feedback, and hold yourself to a high standard of operational excellence
• Readiness to hit the ground running in a Mac development environment, programming in Python, Golang, and/or Java
• Desire to ship at a startup pace with a high degree of ownership
• Attention to detail
• Drive to ship product improvements with production-grade code (with guidance and iterative development)
• 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:

• Internship or research experience building production-quality software
• 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 with 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

The Role

Are you a software engineer who has honed your craft, partnership, and execution over years building and improving production systems, and are looking to apply your skills at the cutting edge of AI agents? This may be the role for you.

As a senior software engineer on our “agent lab” Natural Language Understanding team, you will play an important part in our mission: to advance the frontier of work that can be entrusted to agents to perform reliably at scale. You will have the opportunity to contribute to the evolution of the Moveworks AI Assistant platform in several of the following areas: agent orchestration, sandboxed file systems and code execution, latency optimization, agent memory, LLM self-reflection and improvement, execution environment simulation, enterprise knowledge graphs, and multimodal I/O.

You will have all the tools of modern enterprise AI at your disposal, including best-in-class LLMs from providers like OpenAI. Our team indexes on moving fast on scalable infrastructure, solving challenging product and engineering problems, and pushing the envelope of value provided to customers. If you are looking to do impactful work with a bright, dedicated, and impact-driven team alongside you, we’d love to have a conversation.

What You Will Do:

• Take on exciting and difficult engineering challenges (see areas listed above) to build and evolve capable AI agent systems that are reliable in every sense of the word
• Implement frontier AI algorithms and architectures and help productionize them at scale
• Use the latest advances in machine learning, LLMs, and AI agents to enhance our products and create delightful user experiences
• Contribute to roadmap and help drive the evolution of engineering areas of growing scope and impact to create lasting value for all our customers
• Hone your craft in writing robust, extensible, readable, and performant code
• Partner with subject matter experts across the company including in machine learning, security, product, user experience, and customer success, to learn from each other and build the best enterprise AI product the world has ever seen
• 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 world-class AI systems

What You Bring To The Table:

• 2+ years experience designing, building, and improving production systems, ideally at scale
• Ability to think and communicate clearly about complex engineering problems and systems
• Comfort giving and receiving feedback, and in holding yourself and your coworkers accountable to a high standard of operational excellence
• Readiness to hit the ground running in a Mac development environment, programming in Python, Golang, and/or Java
• Desire to ship at a startup pace 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

The Role

Are you a software engineer who has honed your craft, partnership, and execution over years building and improving production systems, and are looking to apply your skills at the cutting edge of AI agents? This may be the role for you.

As a senior software engineer on our “agent lab” Natural Language Understanding team, you will play an important part in our mission: to advance the frontier of work that can be entrusted to agents to perform reliably at scale. You will have the opportunity to contribute to the evolution of the Moveworks AI Assistant platform in several of the following areas: agent orchestration, sandboxed file systems and code execution, latency optimization, agent memory, LLM self-reflection and improvement, execution environment simulation, enterprise knowledge graphs, and multimodal I/O.

You will have all the tools of modern enterprise AI at your disposal, including best-in-class LLMs from providers like OpenAI. Our team indexes on moving fast on scalable infrastructure, solving challenging product and engineering problems, and pushing the envelope of value provided to customers. If you are looking to do impactful work with a bright, dedicated, and impact-driven team alongside you, we’d love to have a conversation.

What You Will Do:

• Take on exciting and difficult engineering challenges (see areas listed above) to build and evolve capable AI agent systems that are reliable in every sense of the word
• Implement frontier AI algorithms and architectures and help productionize them at scale
• Use the latest advances in machine learning, LLMs, and AI agents to enhance our products and create delightful user experiences
• Contribute to roadmap and help drive the evolution of engineering areas of growing scope and impact to create lasting value for all our customers
• Hone your craft in writing robust, extensible, readable, and performant code
• Partner with subject matter experts across the company including in machine learning, security, product, user experience, and customer success, to learn from each other and build the best enterprise AI product the world has ever seen
• 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 world-class AI systems

What You Bring To The Table:

• 2+ years experience designing, building, and improving production systems, ideally at scale
• Ability to think and communicate clearly about complex engineering problems and systems
• Comfort giving and receiving feedback, and in holding yourself and your coworkers accountable to a high standard of operational excellence
• Readiness to hit the ground running in a Mac development environment, programming in Python, Golang, and/or Java
• Desire to ship at a startup pace 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

The Role

Are you a software engineer who has honed your craft, technical leadership, and execution over years building and improving production systems, and are looking to apply your skills at the cutting edge of AI agents? This may be the role for you.

As a staff software engineer on our “agent lab” Natural Language Understanding team, you will play a central role in our mission: to advance the frontier of work that can be entrusted to agents to perform reliably at scale. You will have the opportunity to lead the evolution of the Moveworks AI Assistant platform in several of the following areas: agent orchestration, sandboxed file systems and code execution, latency optimization, agent memory, LLM self-reflection and improvement, execution environment simulation, enterprise knowledge graphs, and multimodal I/O.

You will have all the tools of modern enterprise AI at your disposal, including best-in-class LLMs from providers like OpenAI. Our team indexes on moving fast on scalable infrastructure, solving challenging product and engineering challenges, and pushing the envelope of value provided to customers. If you are looking to do the best work of your career with a bright, dedicated, and impact-driven team alongside you, we’d love to have a conversation.

What You Will Do:

• Lead and take on exciting and difficult engineering challenges (see areas listed above) to build and evolve capable AI agent systems that are reliable in every sense of the word
• Define, drive, and deliver frontier AI distributed systems and ensure they are productionized at scale, or use the latest advances in machine learning, LLMs, and AI agents to enhance our products and create delightful user experiences
• Set technical direction, influence roadmap, and drive the evolution of engineering areas of broad scope and impact to create lasting value for all our customers
• Set a high bar for writing robust, extensible, readable, and performant code, and raise the engineering standard for the team
• Partner with senior subject matter experts across the company including in machine learning, security, product, user experience, and customer success, to align teams and build the best enterprise AI products the world has ever seen
• Mentor and develop engineers on the team, including coaching on technical design, execution, and engineering excellence
• Collaborate deeply with machine learning engineers to define end-to-end system architecture and help build world-class AI systems

What You Bring To The Table:

• 6+ years experience designing, building, and improving production systems, ideally at scale
• Demonstrated ability to lead technical design and execution across multiple projects and stakeholders
• Ability to think and communicate clearly about complex engineering problems and systems, and to drive alignment across teams
• Comfort giving and receiving feedback, and in holding yourself and your coworkers accountable to a high standard of operational excellence
• Readiness to hit the ground running in a Mac development environment, programming in Python, Golang, and/or Java
• Desire to ship at a startup pace with a high degree of ownership
• Strong attention to detail and a track record of shipping high-quality, production-grade systems
• 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
• Experience designing and operating large-scale, high-reliability systems with strong observability, SLOs, and on-call excellence

The Role

Are you a software engineer who has honed your craft, technical leadership, and execution over years building and improving production systems, and are looking to apply your skills at the cutting edge of AI agents? This may be the role for you.

As a staff software engineer on our “agent lab” Natural Language Understanding team, you will play a central role in our mission: to advance the frontier of work that can be entrusted to agents to perform reliably at scale. You will have the opportunity to lead the evolution of the Moveworks AI Assistant platform in several of the following areas: agent orchestration, sandboxed file systems and code execution, latency optimization, agent memory, LLM self-reflection and improvement, execution environment simulation, enterprise knowledge graphs, and multimodal I/O.

You will have all the tools of modern enterprise AI at your disposal, including best-in-class LLMs from providers like OpenAI. Our team indexes on moving fast on scalable infrastructure, solving challenging product and engineering challenges, and pushing the envelope of value provided to customers. If you are looking to do the best work of your career with a bright, dedicated, and impact-driven team alongside you, we’d love to have a conversation.

What You Will Do:

• Lead and take on exciting and difficult engineering challenges (see areas listed above) to build and evolve capable AI agent systems that are reliable in every sense of the word
• Define, drive, and deliver frontier AI distributed systems and ensure they are productionized at scale, or use the latest advances in machine learning, LLMs, and AI agents to enhance our products and create delightful user experiences
• Set technical direction, influence roadmap, and drive the evolution of engineering areas of broad scope and impact to create lasting value for all our customers
• Set a high bar for writing robust, extensible, readable, and performant code, and raise the engineering standard for the team
• Partner with senior subject matter experts across the company including in machine learning, security, product, user experience, and customer success, to align teams and build the best enterprise AI products the world has ever seen
• Mentor and develop engineers on the team, including coaching on technical design, execution, and engineering excellence
• Collaborate deeply with machine learning engineers to define end-to-end system architecture and help build world-class AI systems

What You Bring To The Table:

• 6+ years experience designing, building, and improving production systems, ideally at scale
• Demonstrated ability to lead technical design and execution across multiple projects and stakeholders
• Ability to think and communicate clearly about complex engineering problems and systems, and to drive alignment across teams
• Comfort giving and receiving feedback, and in holding yourself and your coworkers accountable to a high standard of operational excellence
• Readiness to hit the ground running in a Mac development environment, programming in Python, Golang, and/or Java
• Desire to ship at a startup pace with a high degree of ownership
• Strong attention to detail and a track record of shipping high-quality, production-grade systems
• 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
• Experience designing and operating large-scale, high-reliability systems with strong observability, SLOs, and on-call excellence

What You Will Do:

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. 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. 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. Take a look at our recent posts (Moveworks Live, Creator Studio) on Moveworks’s groundbreaking solutions for enterprise AI. 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.

What you bring to the table:

• 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.
• 2+ years of professional development experience, specifically in building systems at scale.
  
  

Nice To Have

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

What You Will Do

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. 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. 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. Take a look at our recent posts (Moveworks Live, Creator Studio) on Moveworks’s groundbreaking solutions for enterprise AI. 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.

What You Bring To The Table

• 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.

Nice To Have

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

Mountain View, CA (Onsite)

What You Will Do:

As a Staff 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:

• 8+ years of experience designing, building, shipping, and maintaining backend distributed systems
• 8+ years of 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++
• Experience with cloud infrastructure like AWS/GCP/Azure
• Experience solving for performance, optimization, scalability, latency, and monitoring.
• 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: $163,000-286,000

What You Will Do

We are looking for a Machine Learning Engineer to help build cutting edge ML infrastructure for building and serving LLM’s  at Moveworks. This role will be critical in building, optimizing and scaling end-to-end machine learning systems. The ML infra team covers a variety of responsibilities including distributed training and inference pipeline for large language models(LLM), model evaluation and monitoring framework, LLM latency optimization, etc. These frameworks serve as a strong foundation for our hundreds of ML and NLP models in production serving hundreds of millions of enterprise employees. We are solving many challenges on scalability of services as well as optimization of core algorithms. 

In this role you will work closely with our machine learning team, data infrastructure team and every core skill. Above all, your work will impact the way our customers experience AI. Put another way, this role is absolutely critical to the long term scalability of our core AI product and ultimately the company. You will be responsible for building and productionizing ML infrastructure that runs state of the art models. If you are looking for a high-impact, fast-moving role to take your work to the next level, we should have a conversation.  

• Design, build and optimize scalable machine learning infrastructure to support training, evaluation, and deployment of large language models.
• Build abstractions to automate various steps in different ML workflows
• Collaborate with cross functional teams of engineers, data analytics, machine learning experts, and product to build new features
• Leverage your experience to drive best practices in ML and data engineering

What You Bring To The Table 

• 2+ years of industry experience in Machine Learning, Infrastructure or related fields
• Experience with deep learning framework such as Pytorch or Huggingface or LLM serving frameworks such as vLLM or TensorRT-LLM.
• Experience with building and scaling end-to-end machine learning systems
• Experience building scalable micro services and ETL pipelines
• Expertise in Python and experience with performant language such as C++ or GoLang
• Bachelor's in Computer Science, Computer Engineering, Mathematics, or equivalent field.
• A love of research publications in the machine learning and software engineering communities
• Effective communicator with experience collaborating cross-functionally with other teams

Nice To Haves

• Experience with ML Inference optimization using TensorRT. 
• Experience with distributed training  frameworks such as Deepspeed.
• Experience in managing and scaling GPU Inference services via Kubernetes

The Role

We are looking for an experienced software engineer with machine learning expertise to join us in expanding Moveworks NLU (natural language understanding) and agentic AI capabilities, enabling increasingly magical user experiences and improving Moveworks generative and conversational AI capabilities platform-wide.

As a member of the NLU team, you will have all the tools of modern NLP and NLG at your disposal, from best-in-class LLMs, multimodal foundation models, and hybrid vector databases to all the infrastructure needed to fine-tune, evaluate, and serve your own models in production. We are a data-centric team, and you will have the assistance of a world-class annotation team to build error-free, inclusive, and privacy-preserving datasets for model training and evaluation. 

You will also go beyond model training to achieve state-of-the-art AI performance in production, in every meaning of the word “performance”: not just accuracy and quality of outputs, but also latency, reliability, and capability of the end-to-end user-facing system as a whole. Successful machine learning engineers on the team are just as motivated to design and evolve great compound AI systems and their components as they are to train great models.

Our team indexes on increasing our ability to move fast, solving challenging product and engineering challenges, and pushing the envelope of value provided to customers. Your work will impact our team’s core objectives to understand every enterprise issue and build the most reliable copilot the world has ever seen, in deep collaboration with other functions within Moveworks.

What You Will Do

• Apply software engineering, machine learning, and compound AI system engineering to create lasting value for all our customers
• Take on exciting and difficult challenges in conversational agent domains, such as agent cognitive architecture iteration, multimodal agents, multilingual agents, conversational memory management, reasoning strategies (eg Tree of Thoughts / Graph of Thoughts), fine-tuning LLMs for tool use and enterprise reasoning (including preference alignment with RLHF/RLAIF/DPO), agent evaluation, active learning of exemplars for few-shot text classification, abstractive summarization, and grounding & verifiability for generated text.
• Push the envelope of Moveworks commitments to responsible AI, expanding our infrastructure for ensuring models work equally well for all people, red-teaming models to ensure they behave safely and as intended, and keeping our ML at the cutting edge of data privacy and security
• Use your knowledge of machine learning fundamentals and LLMs to design new algorithms and architectures, evaluate them with small scale experiments and productionize your solutions at scale
• Research and develop innovative, scalable and dynamic solutions to hard problems
• Use the latest advances in machine learning and LLMs to enhance our products and create delightful user experiences
• Spend time weekly reading, discussing, and potentially building models out of the latest ML research and open-source code

What You Bring To The Table

• Drive to ship product improvements with production-quality, fully unit-tested code and rigorously-evaluated updates to models, prompts, or other tunable system components
• Ability to solve problems end-to-end with machine learning
• Solid grasp of model evaluation fundamentals, especially for text generation, text classification, and non-uniform sampling regimes
• Attention to detail and high standard of data quality for training and especially evaluation datasets
• Readiness to hit the ground running in a Mac development environment, programming in Python and/or Golang
• Knowledge of deep learning architectures and algorithms and leading large language models
• Desire to work at a startup pace in a medium-sized company with a high degree of ownership
• 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 NLU & AI

Nice To Have

• Experience productionizing ML models at scale
• Experience in AI fairness, privacy, permission controls, safety, and/or security
• Working familiarity with machine learning frameworks such as PyTorch and LightGBM
• Experience with NLP libraries such as HuggingFace Transformers, PEFT, and SpaCy 3
• Experience iterating on prompts for large language models in a data-driven way

What You Will Do

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. 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. 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. Take a look at our recent posts (Moveworks Live, Creator Studio) on Moveworks’s groundbreaking solutions for enterprise AI. 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.

What You Bring To The Table

• 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.
• 7+ years of professional development experience, specifically in building systems at scale.

Nice To Have

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

As a key member of the Product Design Team, you will be responsible for delivering business-critical visual and branding experiences to empower our Enterprise Stakeholders and end-users. Your work will enable companies to leverage the Moveworks AI Platform to support their employees in many creative ways.

You are a self-driven designer who constantly thinks about how experiences and brands are perceived, as much as how they should look. You enjoy turning complex technical workflows and tasks into delightful, magical experiences.

This role will constantly challenge you to identify the biggest lever to infuse brand identity into a suite of our Enterprise AI products. You will work alongside best-in-class product designers and engineering teams. This is a great opportunity to play an integral role at the fastest-growing AI startup in its space, if you are looking for a well-rounded visual designer role.

What You Will Do

• Work in a cross-functional team to inspire, define and build delightful brand and visual designs and enrich established design systems for product experiences
• Rapidly produce strong conceptual and expressive design that is engaging and reflect a cohesive visual style and tone
• Vibe code design prototypes to produce compelling demos
• Execute on product experiences from developers and admins to all end users, with implications across product boundaries of other platforms
• Contribute to evolving design systems and processes to scale production efforts

What You Bring To The Table

• A proven ability to imagine innovative visual experiences based on branding guidelines
• Experience designing visual UI systems as well as creating graphic design elements from illustrations to iconography
• Knowledge in digital product design, spec design, and asset production, proficiency with design tools like Figma with design systems experience
• Experience with vibe coding tools and turning static designs into interactive demo
• Experience with time management, task prioritization, and identifying problems and work towards solutions
• Above all, insatiable curiosity and a growth mindset.

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.

The Role

We are looking for an experienced software engineer with machine learning expertise to join us in expanding Moveworks NLU (natural language understanding) and agentic AI capabilities, enabling increasingly magical user experiences and improving Moveworks generative and conversational AI capabilities platform-wide.

As a member of the NLU team, you will have all the tools of modern NLP and NLG at your disposal, from best-in-class LLMs, multimodal foundation models, and hybrid vector databases to all the infrastructure needed to fine-tune, evaluate, and serve your own models in production. We are a data-centric team, and you will have the assistance of a world-class annotation team to build error-free, inclusive, and privacy-preserving datasets for model training and evaluation. 

You will also go beyond model training to achieve state-of-the-art AI performance in production, in every meaning of the word “performance”: not just accuracy and quality of outputs, but also latency, reliability, and capability of the end-to-end user-facing system as a whole. Successful machine learning engineers on the team are just as motivated to design and evolve great compound AI systems and their components as they are to train great models.

Our team indexes on increasing our ability to move fast, solving challenging product and engineering challenges, and pushing the envelope of value provided to customers. Your work will impact our team’s core objectives to understand every enterprise issue and build the most reliable copilot the world has ever seen, in deep collaboration with other functions within Moveworks.

What You Will Do

• Apply software engineering, machine learning, and compound AI system engineering to create lasting value for all our customers
• Take on exciting and difficult challenges in conversational agent domains, such as agent cognitive architecture iteration, multimodal agents, multilingual agents, conversational memory management, reasoning strategies (eg Tree of Thoughts / Graph of Thoughts), fine-tuning LLMs for tool use and enterprise reasoning (including preference alignment with RLHF/RLAIF/DPO), agent evaluation, active learning of exemplars for few-shot text classification, abstractive summarization, and grounding & verifiability for generated text.
• Push the envelope of Moveworks commitments to responsible AI, expanding our infrastructure for ensuring models work equally well for all people, red-teaming models to ensure they behave safely and as intended, and keeping our ML at the cutting edge of data privacy and security
• Use your knowledge of machine learning fundamentals and LLMs to design new algorithms and architectures, evaluate them with small scale experiments and productionize your solutions at scale
• Research and develop innovative, scalable and dynamic solutions to hard problems
• Use the latest advances in machine learning and LLMs to enhance our products and create delightful user experiences
• Spend time weekly reading, discussing, and potentially building models out of the latest ML research and open-source code

What You Bring To The Table

• Drive to ship product improvements with production-quality, fully unit-tested code and rigorously-evaluated updates to models, prompts, or other tunable system components
• Ability to solve problems end-to-end with machine learning
• Solid grasp of model evaluation fundamentals, especially for text generation, text classification, and non-uniform sampling regimes
• Attention to detail and high standard of data quality for training and especially evaluation datasets
• Readiness to hit the ground running in a Mac development environment, programming in Python and/or Golang
• Knowledge of deep learning architectures and algorithms and leading large language models
• Desire to work at a startup pace in a medium-sized company with a high degree of ownership
• 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 NLU & AI

Nice To Have

• Experience productionizing ML models at scale
• Experience in AI fairness, privacy, permission controls, safety, and/or security
• Working familiarity with machine learning frameworks such as PyTorch and LightGBM
• Experience with NLP libraries such as HuggingFace Transformers, PEFT, and SpaCy 3
• Experience iterating on prompts for large language models in a data-driven way
  
  

What You Will Do

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. 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. 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. Take a look at our recent posts (Moveworks Live, Creator Studio) on Moveworks’s groundbreaking solutions for enterprise AI. 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.

What You Bring To The Table

• 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.

Nice To Have

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

Principal Product Manager, Search Platform

Location: In Office - Mountain View, CA

At Moveworks, we’re building the most advanced enterprise AI platform in the world — combining generative LLMs, agentic reasoning, enterprise search, and natural conversation into one cohesive product experience. As a Principal Product Manager, you’ll play a key role in shaping the future of our Enterprise Search product and search platform.
This is a high-impact role for a technical and strategic product manager who can partner cross-functionally to build foundational capabilities that solve real business problems with AI.

What You Will Do:

• Lead the development of search platform and infrastructure that enables Moveworks Search to scale to billions of documents, while building advanced capabilities for evaluating product performance and search quality.
• Partner closely with other PMs,  ML, engineering, and UX to identify critical platform needs to ship delightful and performant AI-powered products.
• Translate ambiguous problems and user feedback into clear product specs and success metrics  that guide engineering execution.
• Stay ahead of the curve on AI trends and research, turning cutting-edge developments into strategic product bets and differentiated features.
• Develop scalable platform capabilities to power internal teams and customer-facing applications alike.
• Build alignment across cross-functional partners by clearly communicating product vision, roadmaps, and outcomes.

What You Bring to the Table:

• End-to-end product management experience (5+ years) owning technically complex, high-impact products — ideally with building platforms for machine learning or generative AI products. Bonus points for having launched features that delivered measurable impact by solving real user problems with AI.
• Deep familiarity with machine learning concepts and a track record of working closely with ML engineers, particularly in areas such as natural language understanding, semantic search, conversational AI, agentic workflows, and speech technologies.
• Understanding of real-time ML performance requirements (e.g., latency, accuracy, relevance) and the ability to make informed tradeoffs to optimize for user experience and business goals.
• Strong technical acumen, including previous experience as a software or ML engineer, or a technical degree (B.S. or M.S. in CS or related field), enabling you to dive deep on system architecture, APIs, and infrastructure-level decisions.
• Proven success shipping enterprise-grade products to large user bases — including developing rollout strategies, customer feedback loops, and go-to-market coordination for features that scale to hundreds of thousands or millions of users.
• Exceptional written and verbal communication skills — from clear and structured PRDs to compelling product narratives. Bonus points for communicating vision and outcomes through blog posts, talks, or webinars.
• Sharp analytical and problem-solving abilities, with a demonstrated ability to simplify complexity, make decisions amid ambiguity, and use available data to drive clarity and outcomes.
• Demonstrated strength in cross-functional collaboration — aligning engineering, design, data science, marketing, and customer teams around a shared product vision.
• A balanced approach to strategy and execution: able to think long-term while consistently delivering high-impact work in the near term. You lead with both empathy and urgency.
• Startup DNA — you thrive in fast-paced environments, are energized by ambiguity, and naturally bring structure, prioritization, and momentum to everything you touch.

What You Will Do:

As a technical lead and manager of the Core Platform team, you will be responsible for leading the team in building the core platforms. As Moveworks grows fast, the platform team is tasked with designing and operating reliable and resilient platforms and frameworks that enable multiple products and our engineering teams to build customer facing capabilities 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 core platform building blocks and frameworks with focus on developer productivity, reliability, scalability, performance, and security.
• Closely work with machine learning, search, product, data, and frontend teams, understand their platform needs, influence roadmap, lead and execute on various projects.
• Architect and build out the core platforms such as content ingestion platform, crawler framework, permissions enforcement platform, identity platform, content retrieval platform etc.
• Define methodologies and metrics to measure performance of core 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 initiatives from conception through delivery and operations.
• 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 cloud infrastructure like AWS/GCP.
• Experience working with and operating technologies like Kafka, Opensearch, Redis, Postgres, Temporal etc. at scale.
• Experience with building ML products is plus.
• Excellent verbal and written communication skills, with the ability to influence all levels of the organization and translate complex product needs into clear platform abstractions.
• 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