Want to know if this job is worth applying to?
New York, New York, United States
Remote only
At its core, Replay was founded to help founders. We started by supporting startups through shutting down, but we have since expanded into unlocking a new revenue stream for all types of businesses.
In 2025, we had a unique insight: the data every company generates each day through collaboration, communication, and building is some of the most valuable training data in the world. Public and synthetic data can only get frontier models so far, so the next generation of model progress depends on real, proprietary data grounded in how actual businesses operate. We are a primary source of it, partnering directly with the frontier AI labs building what comes next.
We have scaled from $0 to a multi-eight-figure run rate in a matter of months
We have raised from top-tier investors, including Floodgate, Afore, Ludlow, and Hustle Fund
We are small enough that you will carry outsized responsibility and grow as quickly as the company does
You will partner with and build for some of the fastest and most important companies in the world
You will help build a massive, category-defining business from the ground floor
Replay handles internal enterprise data from collaboration tools, documents, files, and business systems, then transforms it into de-identified datasets that remain useful. We also build software that can retrieve information, guide workflows, and take carefully bounded actions. Security is part of whether these products can exist, not a review added after they are built.
You will lead security across the company. The scope includes our products and cloud systems, the enterprise data we acquire and deliver, employee and contractor access, vendors, AI tool authority, incident readiness, and the human workflows through which consequential Dissolution work gets done. You will find the risks that could genuinely limit Replay and turn them into technical, operational, and organizational controls that work in practice.
This is a hands-on individual-contributor role. You will write code, review architecture, test technical and human systems, lead exercises and incidents, and create secure defaults other teams can operate. You own the company-wide security program, but the people who run each product, system, and operation remain responsible for implementing and following its controls. You are not a one-person IT, legal, compliance, or operations department.
Trace how customer data, credentials, derived artifacts, and delivery outputs move through SaaS applications, workers, data pipelines, review tools, logs, storage, and third parties. Build controls that make tenant isolation, access, retention, deletion, quarantine, and delivery decisions enforceable and auditable rather than dependent on convention.
Design identity, authorization, and credential systems for employees, contractors, customers, services, and AI-assisted workflows. You might build just-in-time access, scoped tool contracts, approval boundaries, safe execution environments, or protections against prompt injection, confused-deputy behavior, and data exfiltration.
Design security into employee onboarding and offboarding, devices, accounts, contractors, vendors, support access, and sensitive human workflows. On the Dissolution side, that includes identity verification, approval boundaries, segregation of duties, document and credential handling, consequential actions, exception paths, and an audit trail that shows who did what and why.
Build paved roads that catch important problems early without creating a security queue. This could include high-signal code and architecture review, secrets and sensitive-data detection, reusable authorization patterns, dependency and cloud controls, release checks, incident tooling, or automated evidence that serves both engineers and customer trust.
Establish Replay's company-wide security program, current attack surface, highest-consequence risks, and prioritized roadmap
Threat-model product, data, AI, cloud, workforce, vendor, delivery, and human operational workflows, then stay involved through implementation and verification
Build and improve controls for identity, authorization, tenancy, sensitive data, credentials, logging, secure execution, and customer delivery
Define and verify workforce-security requirements for accounts, endpoints, onboarding, offboarding, contractors, vendors, training, and access reviews
Work with Dissolution Operations to secure identity checks, approvals, segregation of duties, documents, money or asset-related actions, exceptions, and evidence of human decisions
Find vulnerabilities through code review, architecture review, testing, production evidence, and attacker-minded investigation
Lead the security side of incidents and exercises, including containment, recovery, learning, and durable remediation
Create secure defaults, tooling, and review triggers that let product, machine learning, data, and platform teams move independently
Maintain the security control framework and evidence for customer reviews and SOC 2, while keeping each control with an accountable operating owner
Work with leadership on risk acceptance and with legal, compliance, and privacy partners on decisions outside the engineering function
Use AI tools deeply for security analysis and engineering while treating generated findings, code, and conclusions as evidence to verify
Replay's most consequential security risks are visible, owned, and being reduced in a deliberate order
At least one high-risk technical or human-operational boundary is materially safer because of a control you designed, implemented with its owner, and verified
Engineers adopt reusable security capabilities that reduce dependence on case-by-case review
Employees, contractors, and operational teams have clear access, approval, escalation, and evidence requirements for consequential work
Access, vulnerabilities, incidents, sensitive-data handling, vendor risk, and control evidence become easier to understand and act on
Product and AI capabilities expand within explicit authority, isolation, monitoring, and recovery boundaries
Customer trust evidence becomes faster to produce because it reflects real, current controls
You have at least three years of professional security or software engineering experience, including hands-on work securing production systems
You are a strong software engineer with security as a core specialty, and you are comfortable building controls rather than only recommending them
You have worked in a startup and can prioritize a few consequential risks across a much larger set of possible improvements
You have owned security outcomes across several of product engineering, infrastructure, workforce, vendors, compliance, or business operations
You can reason deeply about application security, identity and authorization, multi-tenant systems, cloud infrastructure, sensitive data, secrets, and incident response
You think like both a builder and an attacker and can explain the actual abuse path, affected asset, likely impact, and useful mitigation
You create low-friction defaults and clear decision boundaries instead of making Security the approval step for routine work
You can secure human workflows with approvals, separation of duties, training, evidence, and monitoring without pretending every risk has a software-only solution
You can communicate risk honestly to engineers, executives, customers, and auditors without using certainty you do not have
You use modern AI engineering tools fluently and understand their authority, data, dependency, prompt-injection, and verification risks
You want a compliance-only role centered on collecting evidence and administering frameworks
You prefer producing findings or policies to implementing and verifying durable controls
You treat every possible vulnerability as equally urgent or use Security as an unconditional veto without explaining the tradeoff
You want a narrow specialty with established teams to own every adjacent system and decision
You do not want AI tools to be part of your daily security and engineering workflow
Experience securing data-intensive, privacy-sensitive, or multi-tenant SaaS products
Experience with information extraction, de-identification, data pipelines, secure delivery, or privacy-preserving systems
Experience securing AI agents, tool-using systems, retrieval, model workflows, or MCP-style integrations
Experience building least-privilege, just-in-time access, policy enforcement, secrets detection, data-loss prevention, or audit systems
Experience with SOC 2, customer security reviews, vulnerability management, incident response, penetration testing, or security partners
Experience as an early security hire who created leverage without centralizing all security work
Experience securing operational, financial, legal, support, or other consequential human workflows