• Build and deploy engagement marketing campaigns end to end across email, in-product banners, push notifications, SMS, landing pages, and forms/surveys • Partner with stakeholders to understand business requirements, scope work, and propose feasible technical solutions before build begins • Define and build target audiences using platform filters, custom logic, and lifecycle attributes, then validate them with SQL before deployment • Write and edit SQL to pull lists, validate data, QA segment counts, and answer ad hoc data questions mid-build • Develop logic-based, event-triggered customer journeys and multi-step automations in enterprise marketing automation tools • Manage and maintain campaign-related data sources and integrations so campaigns pull and push the right data • Develop and troubleshoot forms used for lead capture, sign-ups, and survey routing • Execute against tight deployment timelines while upholding a rigorous quality assurance process, including self-review and peer review • Self-manage a diverse production queue, prioritizing across stakeholders, flagging conflicts early, and escalating only when needed • Support stakeholders with training, documentation, and tool access

• Lead a team of engineers focused on observability platform engineering, driving build-out of a unified observability stack used by all engineering teams at Smartsheet. • Own and evolve the platform's technical roadmap, consolidating multiple tooling platforms, and AI observability tooling into a coherent, scalable capability. • Define platform standards, contribute to architectural direction, and ensure the team operates with engineering rigor and strong operational habits. • Build and scale the team, hiring senior engineers and establishing effective global practices across distributed stakeholders. • Lead design and delivery of centralized observability infrastructure covering metrics pipelines, distributed tracing, alerting frameworks, and log analytics across Smartsheet services. • Drive SLO/SLA definition and tooling for platform-wide reliability visibility, partnering closely with infrastructure, platform engineering, and on-call teams. • Own governance including instrumentation standards, cost optimization, and rollout of advanced capabilities such as APM, RUM, and custom dashboards. • Lead architecture, scaling, and operational practices for log analytics across high-throughput production workloads. • Establish shared observability libraries, agents, and SDKs that reduce instrumentation burden for application engineering teams. • Build and maintain AI/ML observability integrations in partnership with the AI Platform team. • Partner with the Data & AI Platform team to integrate MLflow tracing, Inference Tables, and LLM-as-judge evaluation pipelines into the observability stack. • Develop dashboards and alerting for agentic AI workloads, including latency, token consumption, error rates, and evaluation metric drift. • Contribute to the AI governance and cost observability program, providing telemetry for model usage, cost attribution, and compliance reporting. • Serve as the primary engineering partner for platform consumers across Data & AI, Commerce, Infrastructure, and Security teams, ensuring observability needs are met across workstreams. • Lead complex, cross-functional observability projects with high ambiguity, managing delivery risk, communicating clearly to senior stakeholders, and building alignment across teams. • Partner with delivery partners to coordinate instrumentation across platform modernization and migration workstreams • Contribute to quarterly and annual platform goals, reporting on key reliability and observability metrics to engineering leadership. • Communicate platform status, risks, and roadmap progress to Engineering leadership and above audiences in a clear, executive-ready format. • Embed on-call culture and incident management discipline into the team, ensuring clear runbooks, fast MTTR, and post-incident learning loops. • Drive cost governance for observability tooling, including spend optimization and efficient resource management. • Champion AI-assisted engineering practices within the team, applying tooling and automation to reduce toil and accelerate delivery.

• Develop new features, improvements, and fixes for Android and iOS mobile applications using Flutter. • Participate in defining project architecture and technical solutions. • Translate business requirements into efficient and secure technical solutions. • Ensure the quality, maintainability, and performance of developed code. • Integrate with APIs, services, and corporate systems. • Participate in source code management and versioning for applications. • Ensure the application of best security practices in mobile apps. • Perform code reviews focused on vulnerabilities and security risks. • Support security testing, vulnerability analysis, and preventive fixes. • Implement data protection mechanisms for data at rest and in transit. • Contribute to the creation and maintenance of secure development standards and guidelines for Android and iOS. • Follow the full development lifecycle, from acceptance testing to production deployment. • Handle tickets, incidents, and evolutionary change requests. • Support audits and governance processes related to the projects under your responsibility. • Work collaboratively with Product Owners, Business Analysts, Architects, Developers, and partner teams. • Act as a technical reference and mentor for less experienced developers. • Share knowledge about secure development and mobile best practices.

• Develop and implement features using React Native, ensuring code quality, performance, and reusability. • Collaborate with architects and technical teams to define and apply architectural patterns and mobile development best practices. • Integrate applications with RESTful and GraphQL APIs, ensuring efficient, secure, and scalable communication. • Continuously optimize app performance, including reducing bundle size, improving startup time, optimizing memory usage, navigation, and animations. • Ensure compatibility and consistent behavior across iOS and Android devices. • Actively participate in code reviews, contributing to the team’s technical growth. • Develop and execute unit, integration, and functional tests to ensure robustness and reliability of deliveries. • Support the definition of technical solutions and the evolution of application architecture. • Investigate and resolve complex performance and stability issues. • Keep up-to-date with trends and developments in the React Native ecosystem, proposing continuous improvements and technological innovations.