S

Savvy

AI-native platform automating advisor workflows

Senior Developer Experience Engineer

Platform EngineeringConfirmed live in the last 24 hours
Full-timeNew York, NY, USA

About the Job

Requirements

  • Use coding agents such as Claude Code, Codex, Cursor, or similar tools for substantial work, including decomposing tasks, managing context, choosing models, inspecting failures, and producing maintainable software.
  • Have built developer tooling or a platform relied on by engineers beyond the immediate team, learning from user behavior and support burden.
  • Have experience meaningfully improving CI, testing, repository workflows, or developer productivity in a substantial, long-lived codebase.
  • Be able to interview developers, identify root causes, turn evidence into a roadmap, and prioritize work that improves internal systems.
  • Have built and operated substantial production software, with the ability to independently implement durable solutions; the language and framework are open.
  • Compare prompts, context, tools, models, and workflows against representative tasks to evaluate nondeterministic agent behavior.
  • Set standards and change defaults across teams through evidence and trust, while remaining accountable for the developer experience.
  • Work across platform code, repository conventions, evaluation data, developer interviews, documentation, and hands-on enablement.

Responsibilities

  • Set the roadmap for how engineers and coding agents navigate the codebase, use internal tools, run tests, review changes, and ship software.
  • Build the developer-facing layer around existing compute foundations, including task intake, environment setup, context, tools, permissions, observability, review, and delivery.
  • Improve agent code quality and architectural decisions by changing repository structure, interfaces, documentation, instructions, and feedback loops.
  • Design what agents receive upfront, discover progressively, persist, compact, hand off, or discard; choose models and reasoning effort based on evidence from real work.
  • Improve shared internal skills and instructions through contribution standards, evaluation, discoverability, progressive disclosure, maintenance, and pruning.
  • Improve CI speed and reliability, local setup, testing, debugging, deployment workflows, and other sources of developer friction.
  • Measure developer research and satisfaction alongside DORA or SPACE measures and task-level agent evaluations; inspect traces, establish baselines, and test impacts on correctness, reviewability, cost, latency, and human intervention.
  • Work directly with engineers, teach effective practices, and turn successful experiments into defaults; make the case for and help fix root problems in the codebase or engineering process.
  • Partner with infrastructure and security engineers on sandboxing, credentials, approvals, auditability, and controls for granting cloud agents useful but bounded access.

Desired Qualifications

  • Experience building cloud or remote development environments, coding-agent control planes, or secure execution sandboxes.
  • Experience building or operating an agentic code review system.
  • 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 another security- and compliance-sensitive environment.

About the Company

Savvy

AI-native platform automating advisor workflows

Savvy Wealth provides an AI-native, all-in-one platform for independent financial advisors, merging proprietary software with back-office support (compliance, operations, marketing) via a dual-structure: Savvy Wealth, Inc. as the tech platform and Savvy Advisors, Inc. as the affiliated SEC-registered investment adviser. The platform automates onboarding, financial planning modeling, tax analysis, and personalized client communications, plus centralized investment management, tax-aware portfolios, and access to alternatives. It differentiates by integrating technology with full back-office services to help advisors scale, rather than providing direct client advice. Its goal is to help independent advisory teams run larger, more efficient practices by unifying technology, operations, and investment capabilities in one ecosystem, supported by strong fundraising and growing assets under management.

Company size
201-500
Company stage
Series C
Total funding
$212.8M
Headquarters
New York City, New York
Founded
2021

Recently Posted Jobs

Explore more opportunities at Savvy

See more jobs