Outtake
Software Engineer, Frontend
New York City
Sponsorship not specifiedDetected 102 days ago
TypeScriptReactNext.jsRESTAgentic AIDesign SystemsCollaborationMentoring
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odds of building a lasting career here
37Risky
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.
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from this employer's Department of Labor filings
Files H-1B transfers
3 transfer filings in the last year, covering 3 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- We're looking for a Frontend Engineer to define how customers experience Outtake.
- Our product turns a noisy, messy, fast-moving threat landscape into clarity:
- surfaced risks, evidence, workflows, decisions, and automated action.
Responsibilities
- Build the agentic coding harness that allows non-frontend devs to ship polished, reliable, and consistent UI
- Refine and maintain our design system and design language
- Own the core componentry and abstractions that enforce consistency across our workflows, while accelerating other devs and coding agents building new workflows
- Own our UI testing framework and ensure we're shipping reliably
- Maintain a high quality bar for FE code by providing thoughtful reviews and coaching backend-leaning devs
- Flex as a Product Engineer and build end-to-end products alongside as necessary or desired
- Excellent product taste and design sensibilities, ideally with experience building design systems
- Experience building complex systems with coding agents, and the judgement to know when they are wrong
- At a high level, this person will build the FE Software Factory that enables the rest of the team (humans and agents) to ship beautiful, reliable, and consistent user experiences seamlessly.
- We trust adults to manage energy, not clock time.
Requirements
- Comfort operating in ambiguity, making tradeoffs, and shipping without waiting for perfect specs
Nice to have
- experience with shadcn, trpc, react-hook-form, Vercel AI SDK
- prior startup experience or a track record of thriving in high-ownership environments
- Collaboration, speed, and clarity matter.
- Outtake is an equal opportunity employer.
- familiarity with NextJS preferred
- Proficiency with React and Typescript
- Nice to have: experience with shadcn, trpc, react-hook-form, Vercel AI SDK
Compensation
- Culture & Team: Annual company retreats and regular in-person events.
Benefits
- Health: 100% company-paid medical, dental, and vision for employees.
- Time Away: Flexible PTO.
Company info
- Outtake exists to empower and facilitate trust for a digital-first world.
- Today, impersonation, fraud, AI-driven scams, and identity abuse spread faster than any security team can respond to.
- So we built something different:
- an agentic AI platform that proactively detects, monitors, and takes down impersonators, automating protection in hours, not weeks.
- Built by ex-Palantir, ex-CTO/founders, and ex-Notion engineers, Outtake is designed for clarity, autonomy, and velocity.
- Our goal is ambitious:
- become the trust layer of the modern internet.
- And we intend to do it with a lean, dense, exceptionally talented team.
- Outtake is backed by top-tier investors and operators who believe in our mission and our model.
- With strong financial footing and a long runway, we prioritize creating an environment where people can do the best work of their careers.
- Annual company retreats and regular in-person events.
Equal opportunity
- equal opportunity employer.
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This listing is sourced directly from Outtake's careers page and normalized into a canonical job model.