Savvy Senior Engineering Manager at Savvy leads three engineering teams building AI-powered fiduciary advice platform. This hands-on role manages remote and in-person teams to deliver high-impact product and platform work.
Responsibilities
Savvy is hiring a Senior Engineering Manager to lead three engineering teams building the platform where AI meets fiduciary advice. You'll inherit three established, high-performing teams, each anchored by a senior tech lead who owns day-to-day technical direction. Your job is to keep those teams shipping high-impact product and platform work, keep the engineers on them growing, and hold the technical and quality bar as we scale.
This is a hands-on management role. You're based in our NYC HQ, working in person alongside the Product Managers, Product Designers, and stakeholders who shape what we build, and you manage a fully remote engineering team across LATAM that works the same hours we do. You're the bridge between the two: translating product direction into clear technical execution, and bringing engineering reality back into how we plan. AI tooling has let our managers stay genuinely technical while they lead, and we expect the same here. You'll review the hard changes and make architectural calls, not from the sidelines.
Own delivery health across three teams: predictable shipping, sane scope, and unblocking engineers fast, in close partnership with Product and Design.
Grow and retain a strong team: coaching, career development, substantive feedback, and keeping your engineers engaged and leveling up.
Drive our hiring process for these teams: raising the bar on who we bring in and running a tight, fair loop.
Stay hands-on with the code: review complex changes, set and hold engineering patterns and standards across product and platform work, and make architectural calls with your tech leads.
Champion AI tooling across the team (Claude Code, Cursor, Codex, and whatever's next), modeling it in your own work and raising the team's velocity with it.
Partner with Product and Design at HQ to shape scope and de-risk execution on high-ambiguity problems, and carry that context clearly to a remote team.
Qualification
3+ years managing engineersStrong system-design judgmentStrong communicationFintech domain knowledgeExperience leading in an early-stage
Required
Experience managing remote or distributed engineering teams.
3+ years managing engineers, including owning delivery, performance, hiring, and growth for a team.
You use AI tools aggressively in your daily workflow: Claude Code, Cursor, Codex, and whatever else is useful. You're ahead of the curve on what's emerging, you stay technically proficient because of it, and you translate that into how your team builds.
A track record of shipping complex product and platform work end-to-end with measurable business impact, and holding the quality bar throughout.
Strong full-stack or platform engineering depth, enough to lead and review with credibility. We use Rails, React, Next.js, PostgreSQL, and GraphQL; you're comfortable across the stack or close gaps fast.
Strong system-design judgment: data models, service boundaries, failure modes, and how systems hold up at scale, applied to guiding architecture and raising the team's instincts.
Strong communication: you write clearly, give effective feedback, and collaborate well across functions in a startup environment, including with a remote team.
Based in or willing to relocate to NYC and work in person at our HQ.
Preferred
You've built AI-powered features customers rely on in production: LLM integrations, agentic workflows, intelligent automations, or similar, and you understand the real tradeoffs around reliability, latency, cost, and failure modes.
Fintech domain knowledge: financial services, wealth management, regulatory compliance, or financial data integrations.
Experience leading in an early-stage, high-ambiguity startup environment.
