Security Lead

About Sunset

At its core, Sunset 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.

Why Join Sunset Now

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

The Role

Sunset 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 Sunset 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.

Problems You Might Own

Keep sensitive data inside explicit boundaries

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.

Give people and AI systems only the authority they need

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.

Secure how the company and its people operate

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.

Make the secure path the easiest path

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.

What You'll Do

Establish Sunset'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

What Success Looks Like

Sunset'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 Might Thrive Here If

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, pro