• Build and ship features • Own features end-to-end: understand the problem, design a simple solution, build it (often with AI assistance), test it, and refine based on feedback. • Improve performance, reliability, release quality and developer ergonomics across our native SDKs and supporting services. • Debug tricky issues across SDKs and customer integrations – using logs, diagnostics and good hypotheses rather than guesswork. • Solve real customer problems • Work with Product and Delivery to understand real customer use-cases and constraints. • Propose simple, pragmatic solutions instead of over-engineering. • Help streamline the integration experience so partners can get to “first story live” quickly and safely. • Improve developer experience • Enhance documentation, code examples, and integration guides, often using AI to draft and then editing for clarity. • Identify friction points for integrators and proactively champion improvements. • Make small, continuous DX improvements (tooling, scripts, templates) rather than waiting for a big “clean-up project”. • Engineering excellence • Use AI tools by default for exploration, scaffolding and refactors – and then verify outputs with tests, types, and your own judgement. • Use first-principles thinking to cut through complexity: start from the goal and constraints, choose the simplest thing that works, and be willing to delete your own code when a better approach appears. • Participate in thoughtful code reviews: give clear, kind, direct feedback and be open to having your own ideas challenged. • Help improve CI pipelines, test suites and dev scripts so the whole team moves faster and more safely over time. • Maintain high ownership and follow-through from idea to release: surface blockers early, communicate clearly, and finish what you start.

• Build and ship features • Own features end-to-end: understand the problem, design a simple solution, build it (often with AI assistance), test it, and refine based on feedback. • Improve performance, reliability, release quality and developer ergonomics across our native SDKs and supporting services. • Debug tricky issues across SDKs and customer integrations – using logs, diagnostics and good hypotheses rather than guesswork. • Solve real customer problems • Work with Product and Delivery to understand real customer use-cases and constraints. • Propose simple, pragmatic solutions instead of over-engineering. • Help streamline the integration experience so partners can get to “first story live” quickly and safely. • Improve developer experience • Enhance documentation, code examples, and integration guides, often using AI to draft and then editing for clarity. • Identify friction points for integrators and proactively champion improvements. • Make small, continuous DX improvements (tooling, scripts, templates) rather than waiting for a big “clean-up project”. • Engineering excellence • Use AI tools by default for exploration, scaffolding and refactors – and then verify outputs with tests, types, and your own judgement. • Use first-principles thinking to cut through complexity: start from the goal and constraints, choose the simplest thing that works, and be willing to delete your own code when a better approach appears. • Participate in thoughtful code reviews: give clear, kind, direct feedback and be open to having your own ideas challenged. • Help improve CI pipelines, test suites and dev scripts so the whole team moves faster and more safely over time. • Maintain high ownership and follow-through from idea to release: surface blockers early, communicate clearly, and finish what you start.

• Build and ship features • Own features end-to-end: understand the problem, design a simple solution, build it (often with AI assistance), test it, and refine based on feedback. • Improve performance, reliability, release quality and developer ergonomics across our native SDKs and supporting services. • Debug tricky issues across SDKs and customer integrations – using logs, diagnostics and good hypotheses rather than guesswork. • Solve real customer problems • Work with Product and Delivery to understand real customer use-cases and constraints. • Propose simple, pragmatic solutions instead of over-engineering. • Help streamline the integration experience so partners can get to “first story live” quickly and safely. • Improve developer experience • Enhance documentation, code examples, and integration guides, often using AI to draft and then editing for clarity. • Identify friction points for integrators and proactively champion improvements. • Make small, continuous DX improvements (tooling, scripts, templates) rather than waiting for a big “clean-up project”. • Engineering excellence • Use AI tools by default for exploration, scaffolding and refactors – and then verify outputs with tests, types, and your own judgement. • Use first-principles thinking to cut through complexity: start from the goal and constraints, choose the simplest thing that works, and be willing to delete your own code when a better approach appears. • Participate in thoughtful code reviews: give clear, kind, direct feedback and be open to having your own ideas challenged. • Help improve CI pipelines, test suites and dev scripts so the whole team moves faster and more safely over time. • Maintain high ownership and follow-through from idea to release: surface blockers early, communicate clearly, and finish what you start.

• Build and ship features • Own features end-to-end: understand the problem, design a simple solution, build it (often with AI assistance), test it, and refine based on feedback. • Improve performance, reliability, release quality and developer ergonomics across our native SDKs and supporting services. • Debug tricky issues across SDKs and customer integrations – using logs, diagnostics and good hypotheses rather than guesswork. • Solve real customer problems • Work with Product and Delivery to understand real customer use-cases and constraints. • Propose simple, pragmatic solutions instead of over-engineering. • Help streamline the integration experience so partners can get to “first story live” quickly and safely. • Improve developer experience • Enhance documentation, code examples, and integration guides, often using AI to draft and then editing for clarity. • Identify friction points for integrators and proactively champion improvements. • Make small, continuous DX improvements (tooling, scripts, templates) rather than waiting for a big “clean-up project”. • Engineering excellence • Use AI tools by default for exploration, scaffolding and refactors – and then verify outputs with tests, types, and your own judgement. • Use first-principles thinking to cut through complexity: start from the goal and constraints, choose the simplest thing that works, and be willing to delete your own code when a better approach appears. • Participate in thoughtful code reviews: give clear, kind, direct feedback and be open to having your own ideas challenged. • Help improve CI pipelines, test suites and dev scripts so the whole team moves faster and more safely over time. • Maintain high ownership and follow-through from idea to release: surface blockers early, communicate clearly, and finish what you start.