UiPath

The Forward Deployed Engineer II at UiPath is responsible for delivering scoped customer implementations of AI-powered automation solutions. This role involves designing, building, and integrating AI-driven workflows and agents using UiPath's platform, extending functionality with APIs and SDKs, and debugging across various systems including AI inference and data pipelines. The engineer will also contribute to internal libraries and proactively manage delivery risks.

Applied Scientist role focused on building, optimizing, and deploying machine learning models, with a strong emphasis on implementing models from academic papers and solving real-world problems in a production environment. The role involves research, model improvement, and making ML accessible.

Software Engineer II, Autopilot at UiPath. This role involves full-stack development for an AI assistant called Autopilot, which helps users create, edit, and publish automations through natural language, predicts user actions, and recommends them. Users can also interact with Autopilot via chat to improve automations. The role requires experience in TypeScript, Python, or C#, object-oriented programming, and architectural design patterns. Nice-to-haves include AI product experience and prompt engineering.

UiPath is seeking a Solution Engineer fluent in Italian to join their team, focusing on commercial accounts in the EMEA region. This role involves blending technical expertise with business acumen to support the sales process, identify customer pain points, and translate them into tailored, value-driven solutions. Responsibilities include participating in account strategy, leading presales activities, conducting demos, designing solutions, resolving technical concerns, and evangelizing UiPath solutions. The role also involves building solutions for industry verticals, supporting marketing initiatives, and collaborating with product teams. The ideal candidate will have a strong balance of technical, business, and sales skills, with experience in client-facing roles, process discovery, automation solutions, and AI technologies like LLMs and agents. Knowledge of the UiPath platform and cloud technologies is beneficial.

Develop and evolve a cloud offering for training, deploying, and consuming ML models at scale within the Document Understanding platform. Focus on creating and improving features for custom model training to split, classify, and extract data from documents, impacting platform scalability, quality, performance, and reliability.

UiPath is seeking an Advisory Program Manager for Global Sales Enablement to design, roll out, and optimize sales enablement initiatives. This role will translate go-to-market strategy into actionable field programs to drive pipeline and win rates, working closely with various teams like Product Marketing, Sales Engineering, and Customer Success. Responsibilities include developing playbooks, collaborating cross-functionally, activating programs through various channels, and reporting on KPIs to optimize effectiveness. The ideal candidate has 5+ years in enablement or GTM roles, a strong understanding of B2B sales cycles, and experience building enablement programs.

Sales Operations Intern at UiPath, focusing on supporting sales planning, reporting, and analysis. Responsibilities include data analysis, maintaining reports and dashboards, building Excel models, data hygiene, and contributing to presentations and process improvements. Requires analytical skills, Excel proficiency, and eagerness to learn.

Senior Software Engineer role focused on designing, building, and maintaining Kubernetes-based infrastructure for large-scale service deployment within UiPath's Kubefabric team. Requires strong software engineering fundamentals, cloud experience, and understanding of data structures and algorithms.

This role focuses on marketing analytics, BI development, data engineering, and Power BI dashboard creation to support marketing and GTM teams in a SaaS environment. The primary goal is to drive data-backed decision-making by building scalable data models and robust reporting infrastructure.