Principal Software Engineer, Growth
Principal Software Engineer · Principal · Full Time
Opens UiPath's application page
Role
What you'll do.
Principal-level engineering role focused on user acquisition and activation growth at UiPath. Own the end-to-end experience from sign-up through first automation, combining full-stack engineering (TypeScript, React, backend services) with data-driven product thinking and AI-native development practices. Lead hypothesis-driven experiments across the entire codebase, measuring impact on key growth metrics while working autonomously on a high-visibility team reporting to senior engineering and product leadership.
Responsibilities
- Define and Own Growth Metrics: Establish and maintain the key performance indicators (KPIs) the growth team is accountable for, spanning the entire user funnel from initial sign-up and trial activation through premium upgrade conversion. Work with senior leadership and product teams to align metrics with business objectives and ensure they accurately reflect user value and engagement.
- Analyze User Behavior and Telemetry: Conduct deep dives into product telemetry, user behavior patterns, and external signals including community forums, social media, and video comments to identify friction points, adoption barriers, and drop-off moments. Transform raw data into actionable insights that inform engineering priorities and experiment hypotheses.
- Design and Execute A/B Tests: Formulate testable hypotheses based on user research findings, then independently design, build, ship, and analyze A/B tests that validate solutions. Measure statistical significance, interpret results, and iterate rapidly to optimize conversion funnels and user activation pathways across the platform.
- Develop Full-Stack Production Code: Own end-to-end implementation across the full technology stack from frontend landing pages and onboarding flows to backend services and APIs. Ship production code in TypeScript, React, and modern backend frameworks without handoffs, maintaining quality and performance standards across distributed systems.
- Leverage AI Coding Agents for Velocity: Utilize AI-powered coding agents as collaborative team members to accelerate development cycles from concept through production deployment. Maintain expertise in AI-native workflows, prompt engineering, and agentic architecture to maximize productivity and code quality while maintaining architectural integrity.
- Communicate Results to Cross-Functional Leadership: Present experiment design, hypotheses, outcomes, and learnings to engineering, product, design, and executive stakeholders through clear written reports and compelling presentations. Build data-driven narratives that contextualize technical implementation within broader business strategy and influence decision-making.
Qualifications
What we look for.
Technical
Full-Stack Production Development
Demonstrated mastery in shipping production-grade full-stack applications with recent, hands-on experience building scalable systems. Proficiency in modern frontend frameworks (React) and backend services architecture, with ability to move fluidly across the entire codebase to implement end-to-end solutions.
TypeScript and React Expertise
Advanced proficiency in TypeScript for type-safe, maintainable code and React for building complex, performant user interfaces. Solid understanding of component architectures, state management, performance optimization, and modern development tooling within these ecosystems.
Backend Services and Distributed Systems
Strong experience designing, building, and maintaining backend services and distributed systems that support high-scale applications. Familiarity with microservices architectures, API design, database optimization, and operational considerations for production systems.
AI-Native Development Practices
Daily hands-on experience using AI coding agents (GitHub Copilot, Claude, or similar) as collaborative development tools. Ability to articulate your specific workflow, discuss how AI agents augment your development process, and optimize prompts for code generation and architectural problem-solving.
Data Analysis and Experimentation
Practical expertise in designing and executing A/B tests, statistical significance testing, and data-driven decision making. Competency reading product telemetry, SQL querying analytics databases, and extracting actionable insights from user behavior data to drive product decisions.
Education
Bachelor's Degree or Equivalent Experience
Bachelor's degree in Computer Science, Engineering, Mathematics, or related discipline, or equivalent professional software engineering experience demonstrating strong foundational knowledge and problem-solving ability.
Experience
Principal-Level Engineering Leadership
5+ years of hands-on software engineering at progressively senior levels, with 2+ years in a principal, staff, or equivalent senior IC role shipping critical infrastructure or platform features. Track record of owning strategic technical initiatives, mentoring other engineers, and influencing architecture decisions.
Growth-Focused Product Development
Demonstrated impact in growth, activation, funnel optimization, or similar metrics-driven roles at product-led companies. Specific examples of personally moving key metrics (sign-up rates, activation, retention, conversion) through engineering solutions and data-driven experimentation.
Autonomous, High-Velocity Execution
Proven ability to deliver meaningful results independently with minimal team support, managing scope, prioritization, and execution autonomously. Track record of shipping features quickly without extensive coordination overhead, thriving in fast-paced, resource-constrained environments.
Product Thinking and Ownership
Experience operating as a technical product leader—identifying problems, proposing solutions, defining success criteria, and measuring outcomes without waiting for detailed product specifications. Demonstrated product intuition and ability to challenge assumptions with data.
Skills
Required
TypeScript
Advanced proficiency in TypeScript for building type-safe, scalable backend services and ensuring code reliability at scale.
React
Expert-level React development including component design, state management, performance optimization, and building delightful user experiences.
Full-Stack System Design
Ability to architect end-to-end solutions spanning frontend, backend, databases, and infrastructure, with consideration for scalability and reliability.
Data-Driven Decision Making
Proficiency in defining metrics, designing experiments, analyzing results, and making decisions based on quantitative evidence rather than intuition.
AI Coding Agents
Daily practical experience with modern AI coding assistants, including prompt engineering, workflow optimization, and code quality assurance when using AI-generated code.
Technical Communication
Exceptional ability to explain technical decisions, experiment design, and results to both technical and non-technical stakeholders including senior leadership.
Preferred
Enterprise Product-Led Growth
Nice to haveExperience in high-growth SaaS companies with product-led go-to-market models, particularly those where free/trial users convert to paying enterprise customers through self-service activation.
AI Agent Optimization
Nice to haveExperience designing products, APIs, documentation, and discovery flows optimized for AI agent consumption and autonomous workflows, understanding how agents interact with platforms differently than human users.
Developer Marketing and Community Engagement
Nice to haveTrack record of building public presence through technical speaking, high-quality written content, open-source contributions, or developer-focused posts that demonstrate thought leadership and community impact.
Automation and Workflow Platforms
Nice to haveBackground working with robotic process automation (RPA), workflow orchestration, developer platforms, or no-code/low-code automation tools, understanding the unique needs of automation-first users.
Experimentation Platform and Infrastructure
Nice to haveExperience building or working extensively with A/B testing platforms, feature flag systems, or experimentation infrastructure that enables rapid hypothesis testing at scale.
Tech stack
Languages
Frameworks
Databases
Tools
Other
Compensation
Pay and benefits.
Base·USD 200,000 – 280,000
Equity·Stock options
Benefits
Equity / Stock Options
Participate in company upside through stock options as part of the comprehensive compensation package, aligning personal success with long-term UiPath growth.
Flexible Work Arrangement
Flexibility in when and where work gets done based on role and business needs; many roles support hybrid, remote, and office-based arrangements with flexibility to balance personal needs and team collaboration.
Health and Wellness Benefits
Comprehensive health insurance coverage including medical, dental, and vision plans; wellness programs and mental health support resources.
Professional Development
Career development opportunities working with senior engineering and product leaders; exposure to cutting-edge automation and agentic AI technologies; opportunities for technical thought leadership.
Inclusive and Diverse Workplace
UiPath values diverse backgrounds, experiences, and perspectives; equal opportunity workplace providing reasonable accommodations and inclusive culture regardless of age, race, religion, gender identity, disability status, or other protected classes.
High-Visibility Impact
Work on metrics-driven initiatives with direct visibility to executive leadership and company-wide impact; results measured by company KPIs that the entire organization tracks.
Process
Interview steps.
- 01
Application Screening
Initial review of your background focusing on principal-level engineering experience, growth metrics track record, and demonstrated AI-native development practices. Portfolio of shipped work or case studies highlighting measurable impact on growth metrics is valuable.
- 02
Technical Phone Screen
Conversation with a senior engineer covering your full-stack production experience, specific examples of building across frontend and backend systems, and detailed discussion of your AI coding agent workflow. Be prepared to walk through how you use AI agents in your daily development.
- 03
Product Thinking Conversation
Discussion with product leadership exploring how you identify problems, propose solutions, and measure success. Expect case study questions about past growth initiatives: what metrics you moved, how you identified the opportunity, what you built, and what you learned from failures.
- 04
Growth Metrics Deep Dive
Hands-on discussion with the growth team lead about product telemetry analysis, experimentation design, and data interpretation. You may be asked to analyze a sample funnel, propose hypotheses for optimization, and outline how you would test them.
- 05
System Design and Architecture
Technical discussion of designing end-to-end systems spanning sign-up flows, onboarding experiences, and analytics infrastructure. Focus on scalability, maintainability, and how you would architect for rapid experimentation and iteration.
- 06
Executive Communication Round
Conversation with senior engineering or product leadership assessing your ability to communicate complex technical and product initiatives to senior stakeholders. Expect questions about challenging decisions, tradeoffs, and how you've influenced strategy with data and technical insight.
Full posting
Original listing.
Life at UiPath
The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power.
To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose.
Could that be you?
About the role
Millions of people meet UiPath for the first time through a sign-up page, a template or a first automation, and this role owns what happens next. Your job is to find out why people adopt, stick with or drop our products, then build and ship the changes that move those numbers.
This is an engineering role first. You'll write production code across our platform, from the first landing page to the moment someone publishes their first automation. You'll also do the product thinking: picking which problem to solve, defining what success looks like, and proving it with data.
What you'll do
Help define the growth metrics the team owns, from sign-up and trial activation through to upgrade.
Study product telemetry and public signals (community forums, social media, video comments) to find where users get stuck and why.
Turn each finding into a testable hypothesis, then build, ship and A/B test the fix yourself.
Work in any part of the codebase that a fix needs, rather than handing it off to another team.
Use AI coding agents as your team, taking ideas from concept to production quickly.
Explain each experiment clearly to engineering, product, design and leadership: why you ran it, what success meant, and what you learned.
What you bring
Principal-level engineering experience, with recent hands-on work shipping full-stack production code (TypeScript, React and backend services, or similar).
An AI-native way of building: you use coding agents every day and can describe your workflow in detail.
A track record in growth, activation or funnel work at a product-led company, with metrics you personally moved.
Strong product sense: you find the problem, propose the solution and decide how to measure it, without waiting for a spec.
The ability to move fast with a small footprint. You've delivered real results without a large team behind you.
Clear written and spoken communication, including making a case to senior leaders.
Nice to have
Growth experience at an enterprise product-led company where self-serve users turn into business customers.
Experience optimizing for AI agents as users, such as agent-friendly docs, APIs and discovery.
A public presence: talks, posts, open source or content that developers actually read.
Familiarity with automation, workflow or developer-platform products.
Why this role
You'll be a founding engineer on a high-visibility team, working directly with senior engineering and product leaders. You'll have the freedom to act as the mini CTO of your own ideas, building on the newest parts of UiPath's agentic automation platform and reshaping how people discover and adopt it. What you ship will show up quickly in the numbers the whole company watches.
#LI-MH1
Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned.
Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected.
We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy.
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