AI-powered timekeeping and billing for law firms
PointOne builds AI software that passively captures billable time from lawyers' activities across apps like email and documents, generates compliant time entries, automates bill review, enforces compliance, and provides revenue intelligence. It serves law firms to reduce revenue leakage from missed hours and improve operational efficiency. The platform turns unstructured work data into structured insights for pricing, staffing, and profitability.
Builds and optimizes AI-powered outbound campaign infrastructure, GTM stack integrations, and experimentation systems to drive pipeline generation for law firm SaaS. Requires 3+ years GTM engineering experience, Python/SQL coding, and hands-on tool expertise.
Owns end-to-end system reliability, incident response, observability, and proactive stability improvements in a serverless AWS environment. Requires 2+ years software engineering with production-facing experience, strong debugging, and hands-on AWS/Go/TypeScript skills.
Prospects law firms via email, LinkedIn, and phone to generate qualified meetings for SaaS legal tech product. Requires 1-3 years sales or customer-facing experience, strong communication, and proactive attitude in fast-paced startup.
Rotational fellowship for recent grads building revenue pipelines through sales development and talent pipelines through recruiting. Transitions to full-time sales, recruiting, or GTM operations role after 6 months based on performance.
Hands-on engineer owning security, scalability, and cost optimization of AWS infrastructure. Hardens IAM, networking, secrets management; leads threat modeling, incident response, and architecture reviews for high-sensitivity legal systems. Requires 5+ years AWS production experience.
Serve as the primary contact for law firm customers, managing relationships, onboarding, support, and driving adoption/upsell in an early-stage AI startup. Build CS processes from scratch with 0-3 years customer-facing experience.
Account Executive owns full sales cycle for AI timekeeping SaaS to law firms, from prospecting to expansion. Requires 3+ years enterprise SaaS sales experience, closing complex deals in professional services.
Founding Customer Success Lead owning the full lifecycle from onboarding to adoption for AI-powered legal SaaS. Builds relationships with B2B customers, drives retention/upsell, influences product roadmap, and scales CS function in early-stage startup. Requires 5+ years client-facing experience in high-growth tech.
New grad software engineer building AI-powered products for law firms, developing novel workflows, prototyping AI pipelines, and working directly with customers onsite in New York. Requires CS degree from top university and strong internships.
Forward Deployed Engineer drives strategic customer success for law firms by developing and prototyping novel AI products, integrating pipelines like RAG, and directly collaborating with customers to deliver new workflows. Requires 2-8 years at hyper-growth startups, CS degree, and strong ownership.
Builds AI-powered timekeeping and billing infrastructure for law firms using serverless Go backend and React/TypeScript clients. Owns end-to-end product development, customer interactions, and AI pipeline prototyping. Requires 5+ years experience, CS degree, and strong product sense.