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About Savvy Wealth: 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 i…
Skills: Application Security, Vulnerability Management, Software Engineering, CI/CD Security, SaaS Security
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New York, New York, United States · Hybrid
About Maximor At Maximor, we’re building AI agents purpose-built for accounting teams at high-growth and enterprise companies. We automate and orchestrate high-effort accounting & financial reporting – helping teams get …
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Own end-to-end vulnerability management and build AppSec tooling pipelines across product and cloud infrastructure. Establish security hygiene standards and guardrails for AI-assisted development to ensure speed and security move together.
Requires 5+ years of hands-on security engineering experience with strong software engineering fundamentals and expertise in modern AppSec toolchains. Must have practical experience securing SaaS environments and cloud platforms like AWS, GCP, and Cloudflare.
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.
We're a Series B company hitting our stride, with roughly 150 employees and over 500% year-over-year growth, backed by $105M from Thrive Capital, Index Ventures, Canvas Ventures, and Mark Casady (former CEO of LPL Financial). Come help us scale!
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), Small & Medium Companies
Great Place to Work Certified™
We are seeking a Senior Application Security Engineer to join Savvy Wealth at our NYC headquarters. This is a hands-on, in-the-weeds engineering role. You will execute the security strategy set by our Director of IT & Information Security and our CTO, with day-to-day work centered on identifying vulnerabilities, remediating them, and closing the longer-term gaps that make us exposed, both in our product and in the SaaS tools our teams use every day.
Savvy is an AI-forward company. Most of our engineering is AI-assisted, and we enable people across the business, including non-technical roles, to build with AI coding tools. That enablement is a core part of how we work, and we intend to keep it. Your job is to make it safe: setting security hygiene standards in our codebases, building guardrails around AI-assisted development, and partnering closely with our internal AI team so that speed and security move together. You will make the secure path the easy path.
This role is deliberately not a compliance or GRC position. There are no audits to run, no certifications to chase, and no questionnaires to fill out. This is purely technical security work: finding and eliminating the vectors that make us vulnerable.
Responsibilities:
Own vulnerability management end to end: identify, triage, prioritize by real-world risk, and drive remediation to closure across our product, codebases, and cloud infrastructure (AWS, GCP, Cloudflare)
Build and operate our AppSec tooling pipeline: secrets scanning in CI and at the git layer, SCA/dependency scanning with triage SLAs, and SAST rollout on our most sensitive repos, tuned for signal over noise
Set and enforce security hygiene standards within our codebases, including code review standards that explicitly account for AI-generated code (authorship transparency, mandatory human review on security-sensitive paths)
Partner with our internal AI team to design guardrails that keep AI-assisted development, including vibe coding by non-technical builders, safe by default: sanctioned tooling, data handling boundaries, dependency vetting, and secure defaults for AI-built integrations
Secure the SaaS stack: harden configurations, review OAuth grants and third-party integrations, reduce misconfiguration risk across platforms like Google Workspace, GitHub, Rippling, and Slack
Help establish conditional access and identity-layer controls in partnership with IT (SSO, phishing-resistant MFA, managed-device posture)
Define cloud and SaaS configuration baselines for the infrastructure footprint we operate
Contribute to detection and response readiness: high-signal detections (new OAuth grants, mass code-host downloads, credential anomalies) and participate in incident response when needed
Work cross-functionally with Engineering, IT, and the internal AI team; clearly articulate risk, remediation paths, and tradeoffs to both technical and non-technical stakeholders
5+ years of hands-on security engineering experience, with significant time in application security or product security
Strong software engineering fundamentals; comfortable reading, writing, and remediating code, not just filing findings
Deep experience with the modern AppSec toolchain: secrets scanning, SCA/dependency scanning, SAST, and CI/CD security integration (GitHub-centric)
Practical experience securing SaaS environments: OAuth and third-party app review, configuration hardening, and least-privilege access design
Working knowledge of cloud security across AWS and/or GCP, and edge/CDN security (Cloudflare)
A pragmatic, risk-based mindset: you prioritize by what actually gets exploited, ship iteratively, and avoid drowning teams in noise
Strong perspective on AI-assisted development security: you understand how AI coding tools change the shape of AppSec risk (hallucinated dependencies, leaked secrets, insecure patterns at scale) and how to build guardrails without killing velocity
Track record of partnering with engineering teams as an enabler, embedding security into existing workflows rather than bolting it on
Excellent communication skills and ability to work independently in a fast-paced environment
Strong writing skills; Savvy is a written culture
Experience building security programs at an early-to-mid stage company, taking a function from reactive to systematic
Experience with SaaS security posture management, CSPM, or identity threat detection
Familiarity with securing LLM-based tooling, agentic workflows, or internal AI platforms
Detection engineering experience (SIEM/MDR, high-signal alerting)
Fintech or financial services environment experience
Offensive security background (pentesting, bug bounty, red team) that informs how you defend
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), vision related benefits (XP 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)
Technology-enabled RIA and wealth management platform.
Savvy Wealth is the trusted partner for independent financial advisors, combining infrastructure, service, and intelligent tools to make great advice easier to deliver. Disclosure: Savvy Wealth, Inc. is a tech company and the parent company of Savvy Advisors, Inc. All advisory services are offered through Savvy Advisors, Inc., an investment advisor registered with the Securities and Exchange Commission (“SEC”). The AI used on Savvy Wealth’s advisor platform is not intended to replace human advice. The AI technology efficiently automates and streamlines processes like new account onboarding, ongoing financial planning and personalized communications across multiple marketing channels. The AI is not intended to interact with retail clients of Savvy Advisors, nor does the AI provide client-facing investment advice or investment decisions.
Offices: New York, New York 10001, US · Remote, US
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