Design and build scalable risk detection systems to protect Airbnb's payments platform.
Collaborate with data scientists and product managers to respond to fraud and risk issues.
Build integrations with payment partners and processors to enhance risk systems.
Airbnb is an online marketplace for lodging and travel experiences, connecting hosts with guests globally. The company has grown to over 5 million hosts and 2 billion guest arrivals, fostering a culture of inclusion and belonging.
Work with large scale back end systems to detect fraudsters using rules and productionalized machine learning models.
Collaborate cross-functionally with product managers, data scientists, and operations to identify and prioritize fraud detection opportunities.
Build tooling and automation for operations to more effectively reduce fraud and prevent fraudulent listings.
Airbnb provides a platform for hosts to offer unique stays and experiences, enabling guests to connect with communities authentically. The company has over 5 million hosts and has welcomed over 2 billion guest arrivals globally, fostering a culture of inclusion and belonging.
Develop scalable solutions for reliable marketing data ingestion and transformation.
Architect integrations with third-party platforms for standardized data pipelines.
Collaborate with product managers and engineering teams to define requirements and ensure best practices.
DV is a leader in digital performance solutions, providing unbiased third-party data and analytics to verify, optimize, and prove the effectiveness of digital advertising campaigns. The company has worked with hundreds of Fortune 500 companies since 2008, fostering a culture of innovation and collaboration.
Design and build scalable backend services and distributed systems for IoT data processing and risk management.
Develop event-driven pipelines and predictive capabilities for on-time, in-full logistics performance.
Architect APIs and integrations using REST/gRPC, and champion engineering best practices in a lean startup environment.
This company builds an AI-enabled, device-agnostic risk-management platform for cold-chain logistics, protecting pharmaceutical and perishable shipments. It is a well-funded, high-growth startup with a lean engineering team.
Architect and build web applications across Ruby on Rails, Sinatra/Padrino, and Django that directly support our mission.
Make consequential technical decisions on infrastructure, data modeling, API design, and emerging technologies with full ownership of the tradeoffs.
Mentor other engineers and raise the technical ceiling of the team.
CodePath is the largest educator of college computer science students, having trained over 40,000 students from 1,000+ universities. They partner with Amazon, Google, and other leading companies, and recently launched a $150M initiative with Anthropic, building one of the most ambitious AI workforce programs in the world.
Design and build backend services powering the logistics orchestration and decision-intelligence platform.
Own data-heavy distributed systems that contextualize IoT monitoring data and quantify shipment risk in real time.
Build predictive systems for OTIF performance and automate exception-handling workflows, championing best practices in testing, CI/CD, monitoring, and observability.
A Series A startup building an AI-enabled, device-agnostic risk-management platform for cold-chain logistics. The lean, high-velocity team of ~27 protects high-value shipments with real-time decision intelligence.
Set technical direction for backend development, designing scalable web application systems alongside AI coding agents, while mentoring and elevating team programming maturity.
Contribute to new product development of complex in-browser applications, balancing customer-facing features with technical debt cleanup for sustainability.
Architect and implement applications applying ML techniques to large data volumes, designing systems for good performance and reliability with structured human oversight.
Machinify is a leading healthcare intelligence company with expertise across the payment continuum, delivering value and efficiency to health plan clients. Deployed by over 85 health plans representing more than 270 million lives, the company fosters a culture of curiosity and engineering excellence.
Design, develop, deploy, and operate scalable services supporting high-volume digital marketplace workflows and customer-facing experiences.
Build APIs and backend services within a modern, cloud-native and AI-enabled technology environment.
Partner with Product, Data, Infrastructure, and SRE teams to deliver reliable platform capabilities.
Our partner is an AI-first engineering company that builds and operates high-value digital marketplace systems at significant scale. They are a modern organization with a global, collaborative culture and offer competitive compensation and opportunities for professional advancement.
Design and build scalable systems for AI training data and evaluation.
Own projects end-to-end, from technical design to deployment.
Build human-in-the-loop platforms and annotator workflows.
An early-stage AI infrastructure company building training data and evaluation systems for frontier AI labs. A post-Series A organization with a small engineering team, offering significant individual ownership and influence.
Ship complex, detail-focused projects with engineers, product managers, designers, data scientists, and support/finance teams.
Build robust platforms that process millions of transactions, using monitoring and data analytics to ensure system health.
Grow through mentorship, collaboration, and learning while helping shape Lime's engineering culture.
Lime is the largest global shared micromobility company, building a future where transportation is shared, affordable, and carbon-free. A Time Magazine 100 Most Influential Company, Lime has powered over one billion rides in 30 countries across five continents.
Lead ads fraud detection strategy by defining taxonomies, labels, metrics, and evaluation frameworks.
Analyze large datasets to uncover fraud patterns and translate findings into scalable detection and enforcement pipelines.
Build and maintain statistical, ML, and GenAI models to improve fraud detection, risk identification, and enforcement quality.
Reddit is a community of communities, built on shared interests and authentic conversations. With 100,000+ active communities and approximately 130 million daily active users, it is one of the internet's largest sources of information, fostering an open and inclusive culture.
Design, develop, and maintain scalable web applications, APIs, and backend services for client engagements.
Work across a variety of languages and frameworks, including Ruby on Rails, React, Node.js, Rust, Python, Java, and Go.
Architect pragmatic solutions, lead client demos, and contribute to internal best practices and thought leadership.
NextLink Labs is a fast-growing technology firm helping companies build, scale, and secure software applications. As a remote-first company with team members across the country, they maintain a collaborative and inclusive work environment.
Lead a backend engineering team focused on building and scaling microservices, data pipelines, and APIs for a critical cybersecurity platform.
Mentor engineers and champion technical vision, ensuring reliability, scalability, and production-grade development.
Collaborate cross-functionally with product and engineering leadership to translate objectives into scalable solutions.
This position is listed on behalf of a partner company, which manages all applications and next steps. The environment is remote-first, mission-driven, and highly collaborative, with teams working across multiple regions.
Design and build highly reliable, performant and secure platform building blocks
Influence the platform team roadmap and own the evolution of multiple platform areas
Partner within and across engineering teams to provide cross cutting solutions
ServiceNow is the AI control tower for business reinvention, helping 85% of the Fortune 500 work smarter, faster, and better. They are building an AI-native culture where technology and talent are unstoppable together.
Design and build integrations, APIs, and data exchange systems connecting Wrapbook to accounting and ERP systems.
Own integration pipelines and SLAs end-to-end, ensuring reliable data movement with clear metrics.
Provide technical direction through design reviews and pair programming, and participate in on-call rotation.
Wrapbook is the AI platform for production finance, building a system of action for finance teams. With backing from Andreessen Horowitz and others, the company has 350+ employees and uses AI to empower finance teams.
Own and deliver quarterly goals, leading engineers through ambiguity to solve open-ended problems.
Collaborate with product management, design, and analytics to make decisions considering risks and trade-offs.
Foster a culture of quality and ownership by setting code review standards and mentoring teammates.
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. We directly improve the financial lives of over 20 million people, with an agile and fast-paced culture focused on ownership and collaboration.
Provide hands-on technical leadership for a high-scale content platform powering customer-facing marketing experiences.
Architect and build an AI-driven, agentic platform to transform marketing briefs into campaigns.
Collaborate across engineering, product, marketing, and design teams to solve complex technical challenges.
The partner company is a technology firm developing AI-powered marketing platforms. The team is collaborative and remote-first, with a strong emphasis on engineering excellence and innovation.
Resolve customer-reported issues quickly and thoroughly, from investigation through to a durable fix.
Diagnose complex, ambiguous problems across services and data pipelines, tracing them to root cause.
Deliver high-quality engineering work that improves the platform and directly addresses customer needs.
VulnCheck delivers structured exploit intelligence on what is actively weaponized in the wild, purpose-built for data lakes, ETL pipelines, automation, and AI workflows. Founded in 2021, the company has a transparent, collaborative, and supportive culture with a team of cybersecurity experts.
Own the end-to-end pipeline that powers pricing recommendations, from data ingestion through ML models to customer-facing outputs.
Rebuild data reconciliation from property management systems, tackling hard data and orchestration challenges.
Build observability, alerts, and infrastructure as code across Python, Terraform, and Ruby.
We're a profitable, growth-stage company building AI and data SaaS products for the PropTech space, including ApartmentIQ and MavenAI. We're a fully remote team of 100+ with a strict no a**holes policy and a high-performance culture.
Develop and maintain fraud detection models through the full model development lifecycle, from data acquisition to monitoring.
Research new types of fraud and build products around identity verification using Python and AWS infrastructure.
Write production-ready code and present analyses to inform data acquisition, product development, and marketing efforts.
SentiLink provides innovative identity and risk solutions, empowering institutions and individuals to transact with confidence. Backed by world-class investors including Craft Ventures and Andreessen Horowitz, the company has grown rapidly, verifying hundreds of millions of identities and earning recognition from Forbes and CNBC.