How to Get a Job at Moveworks: Interview Process, Experience & Tips (2026)

Moveworks is an enterprise AI platform that automates employee support across IT, HR, finance, and operations. The product uses large language models to resolve employee requests instantly, without human intervention, and is used by large companies globally. Moveworks was building LLM-powered products well before the term became mainstream in the industry.

As of mid-2026, Moveworks has 6 open roles listed across job sites. These span engineering, AI research, go-to-market, and operations. Competition for these seats is real, but the process is structured and the expectations are clear. Candidates who understand the product, communicate well, and show strong fundamentals consistently make it through.

Moveworks' process typically runs across several stages, though the exact structure varies by role and team. The following is what candidates commonly report. Moveworks does not publish a fixed process publicly, so treat this as a general guide.

Recruiter screen
A brief introductory call to check your background, interest in Moveworks, notice period, and salary expectations. The recruiter will also give you an overview of the role. Prepare a concise summary of your experience and a clear answer to 'why Moveworks.'

Hiring manager or domain screen
A focused conversation with the hiring manager or a senior team member. For technical roles this may include a walkthrough of your past projects or a short live problem. For go-to-market roles, expect scenario questions about enterprise sales or customer success. Come with specific examples from your past work.

Technical or domain rounds
For engineering roles, expect coding problems and system design. For ML or AI roles, expect questions on NLP, retrieval systems, or LLM application design. For business roles, expect case-style analysis. There are typically a few rounds at this stage, each focused on a different area.

Cross-functional or values round
A conversation with someone outside your immediate team. Behavioural questions using the STAR format (Situation, Task, Action, Result) are standard. The focus is on how you work with others, handle ambiguity, and communicate across functions.

Final discussion or panel
Some candidates report a final conversation with a senior leader or small panel before an offer is made. This is usually high-level, focused on your long-term goals and strategic thinking.

The full process commonly takes a few weeks from first screen to offer. Keep in touch with your recruiter between stages so you stay visible in the pipeline.

Moveworks hires people who can operate at the intersection of enterprise software and modern AI. A few qualities that appear consistently across candidate reports:

Strong fundamentals. For engineering and AI roles, Moveworks values deep understanding over breadth of frameworks. Clean reasoning about systems, data, and code matters more than knowing every tool.

Genuine interest in enterprise AI use cases. The product solves real operational problems, so candidates who understand why enterprises adopt AI and what makes a deployment successful stand out from those who only know the theory.

Clear communication. Moveworks sells to large companies and works across complex organisations. Whether you are in engineering, sales, or customer success, the ability to explain hard ideas simply is valued.

Ownership and initiative. The company is growing and teams move fast. Candidates who take charge of problems without waiting for permission tend to do well in interviews and on the job.

Cross-functional collaboration. Most projects at Moveworks involve multiple teams. Interviewers look for evidence that you work well across boundaries, listen to others, and share credit.

Understand the product before your first call. Spend time on the Moveworks website and read their published case studies. Know what the product does, who uses it, and what problems it solves. Recruiters notice immediately when a candidate has not done this step.

For engineering roles, practise problem-solving and system design. Coding problems at a medium-to-hard level are commonly cited by candidates. For system design, focus on distributed systems, API design, and scalability. Be ready to talk through your reasoning out loud.

For AI and ML roles, be ready to discuss applied NLP and LLMs. Moveworks is deeply invested in language models. Review concepts like retrieval-augmented generation, intent classification, and embedding-based search. Be ready to discuss tradeoffs, not just definitions.

For go-to-market roles, prepare enterprise sales or CS scenarios. Think through examples of how you have sold to or supported large organisations. Be ready to discuss deal cycles, stakeholder management, and how you measure success.

Prepare your STAR stories. Pick several situations from your career that show ownership, cross-functional collaboration, handling failure, and impact. These will serve you in the behavioural rounds regardless of the role.

Have clear answers for the basics. 'Why Moveworks specifically,' 'what you are looking for in your next role,' and 'what you have accomplished in your current or last role.' Keep these concise and honest.

If you are applying to multiple companies at the same time, a tool like knok can help: it checks 150+ job sites nightly, applies to roles that match your resume, and messages HR on your behalf, so you spend your energy on interview prep rather than on applications.

Moveworks operates with a sense of urgency common to companies that are still scaling. The culture is collaborative but moves fast, and people are expected to be self-directed. A few things that define how the company works:

Mission-driven work. The team believes AI can genuinely improve how people work inside large organisations. That belief shows up in how people talk about the product. Candidates who share that conviction fit in more naturally than those who treat it as just another tech job.

High ownership, low hand-holding. Moveworks expects people to identify problems, propose solutions, and follow through without needing step-by-step guidance. This is true from individual contributors to managers.

Respect for depth. The team includes people with strong academic and research backgrounds alongside practitioners. Deep expertise is respected, and people are expected to keep learning as the AI space moves quickly.

Transparency. Internally, the company tries to share context broadly so people can make good decisions. Candidates who ask good questions in interviews, and who are honest about what they know and do not know, tend to leave a positive impression.

Diversity and inclusion. Moveworks has publicly stated commitments to building diverse teams. Indian candidates applying from India or from the diaspora are part of a talent pool the company actively recruits from, particularly for engineering and AI roles.