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Partiful

Platform Engineer, Trust and Safety

New York, NYHybrid · United States
FullTime · Engineering
POSTED 21 AUGVERIFIED 5H AGO
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Open for
74d
since 21 Aug
H-1B · FY26
2
certified LCAs
Hiring · 30d
10
+1 net · open roles
TypeScriptJavaScriptReactNode.jsReact NativeRedisGCP

Partiful's mission is to cultivate friendships through social events.

We believe events are the most effective way to meet new people and make friends. Our product helps you throw incredible events, starting with memorable party pages that make it easy to plan & communicate with guests — download the app to see how it works!

We're building new ways to streamline planning, connect meaningfully in the real world, and make connections between friends-of-friends. Our ultimate vision is to power everything you do in-person with your friends, eliminating the friction of bringing your most memorable experiences to life. You can read more about our mission in The Washington Post, The New York Times, The Wall Street Journal, The Atlantic, Wirecutter, and USA Today. Partiful was named Google’s Best App of 2024, a Finalist for Apple’s App Store Awards, and Apple’s App of the Day (awarded 4x). In 2025, we were named one of TIME's 100 Most Influential Companies, one of Fast Company's Most Innovative Companies, and named to Inc. Magazine's Best in Business List.

Our company is backed by top-tier investors including Andreessen Horowitz and Google Ventures, and advised by the founders of some of the most successful consumer social products ever made.

The Role

At Partiful, Trust & Safety is a shared responsibility. We have always worked hard to protect our users and our platform, and now we're looking for an expert to deepen and accelerate that work across the entire company.

This role is a good fit for an backend-leaning engineer who has developed a specialization in trust and safety, or a T&S engineer who thinks and builds like an platform engineer. It’s a fast-paced, high-ownership role in an environment where we move quickly, set ambitious goals, and hold a high bar for speed and technical excellence. You’ll spend most of your time on T&S, including detecting, investigating, and mitigating risks including phishing, spam, objectionable content, scraping, and other forms of fraud and abuse, and some time on product infrastructure, reliability, performance, and developer velocity.

Our stack is React (web app), React Native (mobile app), Node.js, and Typescript, running on GCP with a serverless architecture.

What You'll Do

Architect and implement AI-powered systems for real-time decision-making and policy enforcement at scale, including the scaffolding to improve those systems over time

Build observability tooling so the team can monitor abuse trends and respond to novel attack patterns quickly

Balance risk and user experience: proactively monitor the impact of protective systems on trusted users, ensuring interventions deliver more value than friction

Collaborate deeply across functions:

Partner with Operations to define policy, translating ambiguous high-judgement calls into rules that are enforceable at scale

Empower Support to handle enforcement — build out tooling, escalation paths, and appeal workflows the team and users can rely on

Work with Data Science to build sophisticated, trustworthy threat and anomaly detection

Join forces with Product Engineering and Design to keep privacy and safety considerations at the core of our product

Participate in an on-call rotation for Trust & Safety incidents and close the loop to prevent the next one

Design, build, and maintain scalable, secure infrastructure across GCP's ecosystem (Cloud Functions, Firestore, Cloud Tasks, Redis, Pub/Sub, etc.)

Collaborate with other engineers to design performant APIs, databases, and backend systems

Drive the Trust & Safety roadmap, balancing safety investment against the broader needs of the business

Join an ambitious team that moves fast, works hard, and loves what we build — and help shape the foundations and culture of T&S at Partiful!

What You'll Bring

3–11 years of full-stack, infrastructure engineering, or applied machine learning experience in a fast-paced or high-growth environment

2+ years of experience in trust & safety; experience in consumer social is preferred but not required

Source · Partiful · AshbyFirst seen 2 NovOriginal ↗Method