Moveworks

About the Company

Moveworks unifies every business system with natural language, giving employees one place to go to find information, automate tasks, and be more productive, increasing employee efficiency and satisfaction by streamlining everyday tasks.

Powered by a pioneering agentic AI infrastructure that leverages the world's most advanced LLMs and our proprietary MoveLM models, Moveworks understands employee requests, devises intelligent plans, and executes actions to complete tasks across application boundaries in over 100 languages.

More than 350 leading brands, such as Toyota, Spotify, GitHub, Marriott, Snowflake, Unity, Databricks, Broadcom, Hearst, and Palo Alto Networks, trust Moveworks to automate tasks and power a universal search interface across business applications.

Learn more at moveworks.com.

Listed Jobs

Company Name

Moveworks

Job Title

Enterprise Account Executive- London, UK

Job Description

**Job Title** Enterprise Account Executive **Role Summary** Accountable for driving revenue growth with large enterprise customers (5,000 + employees). Manages the entire sales cycle—from prospecting new logos to negotiating and closing high‑value SaaS deals—while achieving quarterly and annual quotas. Owns territory planning, pipeline development, forecasting, and post‑sale expansion in partnership with customer success. **Expectations** - 5 + years closing complex software deals, with a track record of at least $1 M in quota and average deal size $150k+. - Proven success in new‑territory development and building a pipeline ≥ 4× quota. - Demonstrated expertise in value‑selling methodologies (MEDDPIC, Challenger, Force Management). - Consistently accurate forecasting and high win rates at the C‑suite level. - Ability to craft strong business cases and negotiate favorable terms for large commercial enterprises. **Key Responsibilities** 1. Prospect and acquire a defined set of enterprise accounts (5,000+ employees) within the region. 2. Build and sustain a quarterly pipeline that is at least 4× the quota. 3. Perform accurate forecasting and maintain consistent sales activity metrics. 4. Achieve and exceed quarterly and annual revenue targets. 5. Deeply understand customer business; develop and nurture champion relationships. 6. Negotiate and close deals, ensuring mutually beneficial terms. 7. Partner with Customer Success to drive adoption and upsell opportunities. 8. Create comprehensive business cases for new spend. 9. Maintain rigorous pipeline hygiene in Salesforce (MPAs, predictive analytics). **Required Skills** - Complex SaaS/IT infrastructure sales expertise. - Value‑selling methodologies (MEDDPIC, Challenger, Force Management). - C‑suite relationship building and negotiation. - Territory planning and execution. - Strong pipeline generation & forecasting accuracy. - Salesforce.com proficiency (pipeline tracking, MPA creation). - Excellent communication, presentation, and business‑case development. **Required Education & Certifications** - Bachelor’s degree in Business, Marketing, Computer Science, or related field. - Relevant certifications (e.g., MEDDIC, Challenger Certified, Certified Salesforce Sales Cloud) are preferred. ---

London, United kingdom

On site

Mid level

13-10-2025

Company Name

Moveworks

Job Title

Senior Growth Marketing Manager - Global Lifecycle

Job Description

**Job Title:** Senior Growth Marketing Manager – Global Lifecycle **Role Summary:** Lead the end‑to‑end lifecycle marketing strategy for a SaaS AI platform. Own the customer journey from discovery to retention, designing cross‑channel campaigns, segmentation, and personalization to drive acquisition, activation, upsell, and overall customer value. **Expectations:** - Deliver measurable growth and retention metrics globally. - Build and iterate data‑driven lifecycle programs using marketing automation. - Influence cross‑functional teams (Product, Sales, CS, Analytics, Ops, Creative). - Champion continuous experimentation with AI and behavioral data. **Key Responsibilities:** 1. Define, implement, and optimize a global lifecycle marketing strategy covering discovery, onboarding, engagement, retention, and upsell. 2. Plan, launch, and optimize integrated campaigns across email, in‑product messaging, web, community, and other touchpoints. 3. Develop sophisticated segmentation models and deliver highly personalized communications for diverse global audiences. 4. Establish KPIs, monitor dashboards, analyze performance, and iterate programs for business impact. 5. Collaborate with Product, Sales, Customer Success, Analytics, Operations, and Creative to align messaging and ensure cohesive customer experience. 6. Drive experimentation using AI, behavioral data, and advanced marketing technologies to improve optimization and personalization. 7. Manage campaign budgets, timelines, and resource allocation within the global go‑to‑market plan. 8. Mentor and coordinate cross‑functional workflow and knowledge sharing. **Required Skills:** - 8+ years in lifecycle/growth marketing within SaaS. - Proven record of designing and executing full‑cycle customer journey strategies that deliver measurable acquisition, activation, retention, and upsell results. - Strong analytical mindset: KPI definition, data interpretation, actionable insights. - Expertise in marketing automation & CRM platforms (e.g., Marketo, Salesforce). - Excellent storytelling and written communication for email series, newsletters, and other content. - Influential stakeholder management and leadership, comfortable at all levels in a global organization. - Customer‑centric mentality with a passion for delivering exceptional experiences. - Adaptability to fast‑paced, high‑growth environments. - Experience leveraging AI, behavioral data, and tech for program optimization. **Required Education & Certifications:** - Bachelor’s degree in Marketing, Business, Analytics, or a related field (Master’s preferred but not mandatory). - Certifications in marketing automation platforms (e.g., Marketo Certified Expert, Salesforce Marketing Cloud) or equivalent are highly desirable.

Mountain view, United states

On site

Senior

03-11-2025

Company Name

Moveworks

Job Title

Senior Software Engineer II, Frontend

Job Description

**Job Title** Senior Software Engineer II, Frontend **Role Summary** Lead the end‑to‑end design system for a large enterprise product suite. Build, maintain, and evolve a scalable, accessible library of reusable React/TypeScript components. Own supporting tooling, API services, and documentation to enable rapid, AI‑assisted code generation and consistent UI across web and mobile. **Expectations** - 4+ years of professional software development, primarily front‑end architecture. - Proven experience creating and scaling a real world design system. - Deep technical fluency in React, TypeScript, CSS‑in‑JS, Storybook, and Figma. - Backend skills with Node.js, GraphQL or Python is mandatory. - Commitment to accessibility (WCAG), performance, and maintainable code. - Strong communicator who can translate technical decisions for cross‑functional teams and evangelise adoption. - Passion for AI tooling and future‑proofing component APIs for AI consumption. **Key Responsibilities** - Architect and implement a comprehensive design token economy (colors, typography, spacing, etc.). - Design, develop, and maintain a reusable component library in React/TypeScript. - Build backend APIs, services, and tooling for asset pipelines, documentation servers, and versioning. - Create clear documentation, contribution guidelines, and governance processes. - Optimize component APIs for AI code generation; define the “language” used by AI assistants. - Own CI/CD pipelines, automated tests, and Storybook infrastructure. - Collaborate with product design and engineering leadership to align the design system roadmap with strategic goals. - Mentor junior engineers on component design, system thinking, and best practices. **Required Skills** - Advanced React and TypeScript development. - CSS‑in‑JS frameworks (e.g., styled-components, Emotion). - Storybook for component documentation and testing. - Design token management and cross‑platform consistency. - Backend development: Node.js, GraphQL, or Python. - CI/CD tooling (e.g., GitHub Actions, Jenkins). - Accessibility (WCAG) and performance optimization. - Version control (Git) and branching strategies. - Excellent written and verbal communication; ability to advocate and educate. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Software Engineering, or related field, or equivalent professional experience. - Certifications in front‑end development or design systems are a plus but not mandatory.

Mountain view, United states

Hybrid

Senior

21-11-2025

Company Name

Moveworks

Job Title

Senior Machine Learning Engineer II - LLM

Job Description

Job Title: Senior Machine Learning Engineer II – LLM Role Summary: Design, build, optimize, and scale end‑to‑end machine‑learning infrastructure for training, evaluation, and serving of large language models, delivering low‑latency, high‑reliability AI services. Expectations: Deliver production‑ready ML systems, collaborate across engineering, data, and product teams, and champion best practices in ML infrastructure and performance. Key Responsibilities: - Design and implement distributed training and inference pipelines for large language models. - Create reusable abstractions that automate steps across diverse ML workflows. - Engineer scalable micro‑services, ETL pipelines, and GPU inference services, including Kubernetes deployments. - Build metrics‑driven model evaluation and monitoring frameworks. - Collaborate with researchers, data engineers, and product stakeholders to roll out new features. - Conduct performance profiling, latency optimization, and resource tuning for serving stacks (e.g., vLLM, TensorRT‑LLM). - Write clean, modular code with comprehensive documentation and automated tests. Required Skills: - 2+ years industry experience in ML infrastructure, deep learning, or related fields. - Proficiency with PyTorch, Hugging Face, or LLM serving frameworks (vLLM, TensorRT‑LLM). - Hands‑on experience building and scaling end‑to‑end ML systems and micro‑services. - Strong Python programming; fluency in a systems language such as C++ or Go. - Familiarity with distributed training tools (e.g., DeepSpeed) and GPU inference scaling on Kubernetes. - Excellent written and verbal communication with cross‑functional collaboration. Required Education & Certifications: - Bachelor’s degree in Computer Science, Computer Engineering, Mathematics, or an equivalent technical field.

Mountain view, United states

Hybrid

Senior

24-11-2025