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Savvy is a Series C fintech company reinventing wealth management for independent financial advisors. The company provides a modern, AI-native platform that handles back-office operations, investment management, and client services, allowing advisors to focus on growth. Savvy has raised $200M, employs 170+ people, and is on track for $100M ARR in 2026. Inc. ranked Savvy the No. 1 fastest-growing financial services company in America.
You will be Savvy's first dedicated developer experience engineer, owning how developers and coding agents interact with systems across the engineering organization. This is a hands-on platform engineering role focused on treating developer productivity and agent output quality as engineering problems.
Key responsibilities:
- Own the developer and agent experience roadmap: Set standards for how engineers and coding agents navigate the codebase, use internal tools, run tests, review changes, and ship software.
- Build cloud coding infrastructure: Create the developer-facing layer around existing compute foundations, including task intake, environment setup, context, tools, permissions, observability, review, and delivery.
- Improve agent output quality: Change repository structure, interfaces, documentation, instructions, and feedback loops so agents produce correct code and sound architecture more consistently.
- Engineer context systems: Design what agents receive up front, discover progressively, persist, compact, hand off, or discard. Choose models and reasoning effort based on evidence.
- Own internal skills and instructions: Raise quality through contribution standards, evaluation, discoverability, progressive disclosure, maintenance, and pruning.
- Fix developer friction: Improve CI speed and reliability, local setup, testing, debugging, deploy workflows, and other bottlenecks.
- Measure impact: Combine developer research and satisfaction data with DORA or SPACE measures and task-level agent evaluations. Establish baselines and test whether changes improve correctness, reviewability, cost, latency, and human intervention.
- Drive adoption: Work directly with engineers, teach effective practices, and turn successful experiments into defaults.
- Partner on safe autonomy: Work with infrastructure and security engineers on sandboxing, credentials, approvals, auditability, and controls for cloud agents.
You will join the infrastructure and harness team and partner closely with infrastructure, security, data, and product engineers.
Requirements:
- Exceptional with coding agents: Substantial hands-on experience using Claude Code, Codex, Cursor, or similar tools. Demonstrated ability to decompose tasks, manage context, choose models, inspect failures, and produce maintainable software. Speed alone is not sufficient.
- Internal tools and platform experience: Built developer tooling or platforms that engineers beyond your immediate team relied on. Evidence of learning from user behavior and support burden, not just stated preferences.
- CI or large-codebase experience: Made meaningful improvements to CI, testing, repository workflows, or developer productivity in substantial, long-lived codebases.
- Product judgment for internal systems: Can interview developers, separate symptoms from root causes, turn evidence into roadmaps, and prioritize effectively.
- Strong software engineering: Built and operated substantial production software. Language and framework agnostic, but must be able to move from diagnosis to durable implementation independently.
- Evaluation over intuition: Understand that agent behavior is nondeterministic and changing quickly. Compare prompts, context, tools, models, and workflows against representative tasks rather than relying on demos.
- Cross-team influence: Set standards and change defaults across teams without becoming a gatekeeper. Explain evidence, earn trust, and remain accountable.
- Pragmatic range: Comfortable moving between platform code, repository conventions, evaluation data, developer interviews, documentation, and hands-on enablement. This is not a prompt-writing, DevRel, or framework-only role.
Nice to have:
- Experience building cloud or remote development environments, coding-agent control planes, or secure execution sandboxes.
- Experience building or operating agentic code review systems.
- Experience designing agent tools, skills, context systems, memory, orchestration, or model-routing infrastructure.
- Experience using DORA, SPACE, or similar frameworks without reducing developer productivity to a single metric.
- Experience in financial services or security- and compliance-sensitive environments.
