Jobs at Pear

About WexlerWexler is building the best AI system for litigation on the planet. We work with some of the world’s largest law firms, helping them to solve their most complex cases, find the winning strategy in each matter, and create clarity from the chaos of documents and facts in each case. We are a rapidly growing, legal AI company based in London. Clifford Chance, HSFKramer, Goodwin, Addle...

We’re looking for a hands-on designer to lead key pieces of our product.This role is in person, 5 days/week in San Francisco with the potential of contract to full-time hire.Rate: $50–$100/hrAll levels of experience are encouraged to apply.What you’ll work onProduct UI/UX — wireframes → prototypes → polished UILanding page — clear story, strong visualsUser dashboard — simple, data-friendly la...

About the roleYou’ll own the foundation of Known’s product infrastructure across mobile, web, and agentic AI systems. From data pipelines to cloud infra, you’ll design, build, and scale the platform that powers matching, voice, and scheduling features.ResponsibilitiesDesign and manage AWS-based infrastructure, codified in Terraform.Build and maintain data ingestion/orchestration pipelines (Ai...

About the roleYou’ll develop and deploy the ML systems that make Known work - from compatibility scoring and recommendations to natural language/voice interaction. You’ll work closely with platform engineers to shape the data foundation and with product engineers to deliver delightful user experiences.ResponsibilitiesDesign and implement profile matching algorithms (recommendations, search, p...

About the roleYou’ll work across the Known product surface: mobile features, web backend, and API integrations. You’ll ship quickly, leverage AI coding tools (e.g. Cursor, Copilot), and help us deliver a polished, consumer-grade experience.ResponsibilitiesBuild and iterate on mobile features with React Native.Extend and maintain backend APIs in Node.js/TypeScript.Integrate with third-party AP...

🚀 Infra / Platform EngineerAbout the roleYou’ll own the foundation of Known’s product infrastructure across mobile, web, and agentic AI systems. From data pipelines to cloud infra, you’ll design, build, and scale the platform that powers matching, voice, and scheduling features.ResponsibilitiesDesign and manage AWS-based infrastructure, codified in Terraform.Build and maintain data ingestion/...

About the roleYou’ll develop and deploy the ML systems that make Known work - from compatibility scoring and recommendations to natural language/voice interaction. You’ll work closely with platform engineers to shape the data foundation and with product engineers to deliver delightful user experiences.ResponsibilitiesDesign and implement profile matching algorithms (recommendations, search, p...

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Founding Product Engineer (Full-Stack) – Phaselab 🚀Location: New York, London, Chapel Hill, RemoteType: Full-timeSalary: Competitive, with equity optionsAbout PhaselabPhaselab is rebuilding the legacy eDiscovery industry from the ground up, empowering in-house legal teams with tools for document production that bypass the existing services-heavy approach. We're Seed stage but are already work...

Founding Backend Engineer (Full-Stack) – Phaselab 🚀Location: New York, London, Chapel Hill, RemoteType: Full-timeSalary: Competitive, with equity optionsAbout PhaselabPhaselab is rebuilding the legacy eDiscovery industry from the ground up, empowering in-house legal teams with tools for document production that bypass the existing services-heavy approach. We're Seed stage but are already work...

About UpDocAt UpDoc, we are building the world's first clinically validated, physician-supervised conversational agent that manages chronic diseases; the first step towards a true "AI doctor". With partners including Stanford, Mayo Clinic, Eli Lilly, UCSF Health, and Microsoft, UpDoc is working to build a future where all patients can access high-quality, high-touch care. Learn more about us ...

About Socratix AISocratix AI builds AI coworkers for fraud and risk teams—agents that investigate alerts in real time and replace manual workflows with fast, explainable decisions. Our agents integrate seamlessly into existing workflows and reason across signals like human analysts, helping teams cut fraud losses, reduce false positives, and scale operations without increasing headcount.Since...