• Set engineering strategy, architecture direction and the bar for code, reliability, and security. • Lead and grow the engineering organization through Engineering Managers; install the pod operating model. • Ship the V2 REST API surface, the OpenAPI spec, and the agent-readiness layer. • Own engineering KPIs: delivery velocity, system reliability, defect density, hiring quality. • Partner on diligence-readiness — repo hygiene, IP assignment, security posture — for a strategic transaction.

• Enhance Zuora Billing capabilities using a hands-on approach to configure and maintain Zuora product catalog • Develop and maintain Zuora workflows and automations using standard platform features and best practices • Accelerate configuration, troubleshooting, and solution exploration using Zuora AI capabilities while validating outputs for accuracy, security, and compliance • Design, build, and support integrations with upstream/downstream systems using Zuora APIs • Deliver technical designs, estimates, and delivery plans, and collaborate with Solution Architects and cross-functional stakeholders • Promote engineering discipline across the team: testing, peer reviews, environment hygiene, and operational readiness • Troubleshoot complex billing issues across configuration, data, and integrations; perform root cause analysis and implement sustainable fixes • Produce and maintain high-quality technical documentation and use AI tools to improve draft quality, structure, and completeness • Implement and support data migration and cutover activities for changes impacting Zuora Billing

Role Description We’re looking for a Senior Software Engineer to join the Native team in building core technology which enables many of our key document capabilities. The team is directly responsible for the underlying layers of all our technologies and several public SDKs: - .NET SDK - Java SDK - Python SDK The same SDK we sell to our customers powers our solutions alongside internal ones which is also used in: - Web SDK - Document Engine - AI Document Processor - Document Web Services We’re an AI first company, which means using coding agents should be second nature. You should feel comfortable suggesting broader changes in the team's workflows if warranted - we want to optimize for impact. You own problems and tasks, not Jira issues. Jumping into TypeScript, Swift, Kotlin or Elixir shouldn’t scare you, but just be another opportunity to learn. What You'll Work On - Design and implement C++ and C# systems across the core Native layer, taking full ownership from architecture through to production. - Share ownership for architecture, tools and services, contribute to product development and customer success. - Ship features and improvements in a small, async-first team: debug hard problems, improve reliability, and keep the stack coherent across platforms. - Drive performance and correctness across multi-platform builds, compiler behaviour, and system-level concerns. Qualifications - 5+ years of production C++ experience, with solid knowledge of memory management, system programming, compilers, and multi-platform development. - Strong grasp of data structures and algorithms, with an understanding of how client-side SDKs fit into larger distributed systems. - Self-directed and collaborative: you can own a problem from scratch, communicate proactively, and give and receive honest feedback. - Bias towards shipping: you take ownership from design through to production and move fast. - Bonus: experience with PDF internals or other document formats is a plus. Who Thrives Here At Nutrient, we’re not just hiring for skills — we’re hiring for mindset. The people who thrive here are: - Collaborators: You collaborate openly, listen actively, and prioritize team success over ego. - Hungry Learners: Rapid learning fuels progress and career growth. - Curious Thinkers: You dig deep to uncover the “why,” valuing understanding over simply being right. - Self-Starters: You take action without waiting for direction, turning obstacles into opportunities with creativity and persistence. - Owners: You take responsibility for solutions and outcomes, always looking for ways to improve what’s within your control. - Doers: You’re energized by progress, motivated to create meaningful impact, and eager to tackle challenges. Benefits - Core layer impact: whatever you ship directly shapes every Nutrient product and reaches millions of end users across 15%+ of the Global 500. - Real ownership and freedom: in the Core team you identify problems and go fix them, with minimal process and high trust. - Fully remote and async-first: minimal meetings, strong writing culture, and the independence to manage your own work. - Mission-critical product: Nutrient's platform is trusted by 15%+ of the Global 500 across 80+ countries. - Strong growth trajectory: having more than doubled revenue over the past three years, backed by Insight Partners. Company Description Nutrient believes in equal opportunity. We employ people from many cultures and countries, celebrate diversity, and are committed to building a team that represents a variety of backgrounds, skill sets, and perspectives. We do not discriminate on the basis of race, color, religion, age, marital status, national origin, ancestry, physical or mental disability, medical condition, sexual orientation, gender identity or expression, or any other non-merit factor.

Role Description Join our DevelSoper Experience team to design and ship AI-native tooling and agentic workflows that meaningfully accelerate the way EarnIn engineers build, ship, and operate software, and help set a new bar for what engineering productivity looks like. This is a remote position, though it could also be a hybrid role from our Mexico City office as part of our expanding site. What You'll Do - Draw on firsthand experience with the friction, toil, and frustrations that slow engineering teams down and use that empathy to build tools and automation that actually solve the right problems. - Drive the design, development, and implementation of tools, systems, and processes that accelerate engineering velocity, reduce manual effort, and raise the quality bar for software delivery. - Use the latest AI capabilities LLM APIs, agentic workflows, MCP patterns, and AI-assisted development environments to fundamentally rethink what a high-productivity engineering team looks like. - Architect and operate multi-step agentic systems with well-defined inputs, outputs, validation checkpoints, and human-in-the-loop guardrails that run reliably at scale. - Embed AI-assisted capabilities into CI/CD pipelines and GitHub Actions workflows to improve build reliability, code quality feedback loops, and developer toil reduction. - Guide and advise product engineering teams on best practices for building observable, scalable systems acting as a force multiplier across the org, not just within DevX. - Partner directly with engineering teams to identify high-friction workflows, translate them into structured AI-assisted automation, and measure impact against defined success metrics. - Instrument AI-powered features with end-to-end logging, monitoring, evaluation, and their lifecycle from pilot through iteration or retirement. - Document patterns, usage guidance, and best practices so proven workflows can be consistently adopted and extended across the org. Qualifications - 4+ years of professional software engineering experience, including 3+ years building infrastructure or internal tooling for developer teams; fluency in Python or Go. - Firsthand experience with the tools, workflows, and pain points of software engineering teams; you've felt the friction yourself and know how to fix it. - Hands-on experience building and deploying agentic or LLM-powered systems in production, including practical familiarity with MCP patterns, tool-augmented workflows, or multi-step agent architectures. - Some experience integrating with LLM APIs (Anthropic Claude, OpenAI, or equivalent) and an understanding of tradeoffs around context management, latency, cost, and safety. - Experience with GitHub Actions or similar CI/CD platforms, including building custom workflows, reusable actions, or automation that operates on code or pull requests. - Daily use of AI-assisted development tools (Cursor, Claude Code, Copilot, or equivalent); treat these as core to how you work, not a nice-to-have. - Ability to define meaningful metrics for AI-assisted tooling and run time-bound experiments to validate impact. - Clear written and verbal communication skills, comfortable advising and influencing partner engineering teams in a distributed environment. - Experience using AI-assisted development tools (e.g., Copilot, Cursor, LLMs). Benefits - Excellent benefits for employees, including healthcare, internet and cell phone reimbursement, a learning and development stipend, and potential opportunities to travel to our Mountain View headquarters. - Salary ranges determined by role, level, and location.