• Design, code, and maintain large-scale data collection and processing systems • Discover, analyze, and validate new data sets to add value for our customers • Creative problem solving to necessarily complex systems • Research, prove and employ cutting edge techniques & technologies • Provide code reviews, design feedback, demos, technical requirements & documentation • Provide accurate, scope, estimates for time, capacity & costs of projects • Improve the lives of your coworkers by accelerating engineering productivity, reducing operational toil and increasing consistency • Provide technical leadership, assist in on-boarding & mentoring of junior engineers

• Own complex technical projects end-to-end, from architecture through delivery • Partner closely with an existing tech lead, design and build across the full stack • Drive technical decisions with minimal oversight in a distributed, async-first environment • Spend most of time writing code and designing systems, not managing people • Core product features across the advisor and investor portal experiences • Financial data integrations: Apex AscendOS, Plaid, Stripe, and future custodial partners • Serverless backend services across a distributed Lambda and PostgreSQL environment • Agentic AI financial planning layer: architecture, reliability, and LLM integration patterns • CI/CD pipeline standardization across 28+ repositories, co-owned with the existing tech lead • Code quality, observability, security hygiene, and release discipline across the stack

• Become a 3D service and ArcGIS Enterprise technology expert and use your expertise to help software users successfully create and maintain 3D services and layer items • Collaborate with development programmers and product engineers to build and test functionality for current and future 3D layers • Work closely with other teams to assure integration of scene layers into the platform • Design, write, and maintain test that validate ArcGIS 3D layers technology • Analyze testing results to determine pass/fail status, and report results in a timely and consistent manner • Document REST API and Online help documentation for scene layers and 3D tiles layers • Create compelling supplemental material that educates users on the capabilities built by the team, including blogs, tutorials, and videos

• Build AI–powered automation systems as needed across the full customer journey: developer sign-up engagement, account research, contact discovery, opportunity management, customer health monitoring, and more. • Embed with sales, marketing, and technical services teams to observe how work actually happens — conducting process audits, shadowing deal reviews, and mapping handoffs end-to-end — then build the systems that eliminate friction. • Ship code on Temporal Cloud, setting up workflows to orchestrate interactions across a broad range of distributed data stores and tools. • Collaborate closely with Security, Data, and Business Systems teams to define data sources and destinations while maintaining the highest standards of data security and integrity.  • Partner with the GTM Systems to make “build vs. buy” decisions and maximize the impact of Temporal’s revenue technology stack. • Educate other members of the Revenue Operations and GTM teams on best practices for using AI in their day-to-day roles, collaborating with GTM Enablement on scaling best practices across the organization  • Establish and measure success metrics for every system you build, share learnings with stakeholders, and iterate relentlessly based on what the data shows.