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New York, New York, United States
Hybrid
Wealth management is a $545 billion industry that still runs on manual work. 75% of advisors offer no digital communication beyond email, and most still build financial plans by hand in Excel. Savvy is reinventing what it looks like to be a financial advisor. Founder Ritik Malhotra saw the fragmentation firsthand after seeking out his own advisor, and started Savvy to give independent advisors a modern, AI-native home.
Savvy is a registered investment advisor (RIA), and we partner with experienced financial advisors who want to grow without running the back office themselves. Advisors bring their book and join Savvy, running under their own brand (or ours), and Savvy earns a percentage of the assets they manage. In return, they get a true business-in-a-box: a proprietary tech platform and client portal, an in-house marketing team that helps them grow, a world-class investment management team, and a dedicated client services team that runs day-to-day operations and support. Advisors at Savvy service up to 50% more households and save 19 hours a week.
AI runs through everything we do. On the product side, Savvy Intelligence (released April 2026) is the only AI built for wealth managers that can see a client's complete financial picture. Internally, everyone at Savvy uses Claude and is encouraged to experiment with it, backed by a dedicated AI enablement team and a RevOps org building agents in-house.
The trajectory is steep and it's still early. We're a Series C company with 170+ people, $200M raised, and $100M ARR in sight this year. Inc. ranked us the No. 1 fastest-growing financial services company in America in 2026. Come build the next stage with us!
Recognition:
We're a Certified Great Place to Work and have been honored for our culture and our growth:
Newsweek's America's Greatest Startup Workplaces (2026)
Fortune Best Workplaces in New York™ (2026)
Great Place to Work Certified™
Savvy is hiring our first dedicated developer experience engineer. Coding agents are already part of how our engineers work, but adoption has moved faster than our ability to make their output consistently good. Wrong code and weak architectural decisions still create review burden. We are hiring someone to treat that as an engineering problem, not solve it with a longer prompt.
You will own how developers across EPD interact with coding agents and with the systems around them. That includes the codebase itself, our internal skills and instructions, cloud coding workflows, agentic code review, CI, local development, testing, debugging, and delivery. You will have substantial autonomy to make cross-cutting decisions, change defaults, and set standards across the organization.
This is a hands-on platform engineering role. Most of your time will be spent building software and improving the environment in which developers and agents work. You will also talk directly with engineers, study where time and quality are being lost, test your ideas against real work, and help teams adopt better ways of operating. You will join our infrastructure and harness team and partner closely with infrastructure, security, data, and product engineers.
Own developer and agent experience: Set the roadmap for how our engineers and coding agents navigate the codebase, use internal tools, run tests, review changes, and ship software.
Build the cloud coding experience: Build the developer-facing layer around our existing compute foundations, including task intake, environment setup, context, tools, permissions, observability, review, and delivery.
Improve agent output at the source: Change repository structure, interfaces, documentation, instructions, and feedback loops so agents produce correct code and sound architecture more consistently.
Engineer context deliberately: Design what agents receive up front, discover progressively, persist, compact, hand off, or discard. Choose models and reasoning effort based on evidence from the job, not habit.
Own our internal skills system: Raise the quality of our shared skills and instructions through clear contribution standards, evaluation, discoverability, progressive disclosure, maintenance, and pruning.
Fix everyday developer friction: Improve CI speed and reliability, local setup, testing, debugging, deploy workflows, and the other bottlenecks that cost engineers time.
Measure what works: Combine developer research and satisfaction data with DORA or SPACE measures and task-level agent evaluations. Inspect traces, 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. When the root problem is the codebase or engineering process, make that case and help fix it.
Partner on safe autonomy: Work with our infrastructure and security engineers on sandboxing, credentials, approvals, auditability, and the controls needed to give cloud agents useful access without giving them unlimited access.
Exceptional with coding agents: You use Claude Code, Codex, Cursor, or similar tools for substantial work and can show how you decompose tasks, manage context, choose models, inspect failures, and consistently produce maintainable software. Faster output alone is not the bar.
Internal tools with real users: You have built developer tooling or a platform that engineers beyond your immediate team relied on. You learned from their behavior and support burden, not only from what they said they wanted.
CI or large-codebase experience: You have made a meaningful improvement to CI, testing, repository workflows, or developer productivity in a substantial, long-lived codebase.
Product judgment for internal systems: You can interview developers, separate symptoms from root causes, turn evidence into a roadmap, and say no to attractive work that will not improve the system.
Strong software engineering: You have built and operated substantial production software. We are open on language and framework, but you must be able to move from diagnosis to a durable implementation yourself.
Evaluation over intuition: You know that agent behavior is nondeterministic and changing quickly. You compare prompts, context, tools, models, and workflows against representative tasks rather than declaring success from a demo.
Cross-team influence: You can set standards and change defaults across teams without becoming a gatekeeper. You explain the evidence, earn trust, and remain accountable for the experience you create.
Pragmatic range: You are 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.
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.
Competitive salary and equity package
Unlimited PTO + paid company holidays
Access to holistic medical, dental, and vision plans
Company 401(k), Commuter, and HSA/FSA plans
NYC office in the heart of Manhattan
Lunch and snacks provided in the office
Access to virtual mental health care (Spring Health) and health concierge (Rightway) to help you find the right care
Access to counseling for stress management, dependent care, nutrition, fitness, legal, and financial issues (Guardian WorkLifeMatters EAP)