Top Tech Jobs & Startup Jobs

Own customer accounts in a hands-on engineering capacity, serving as the primary technical contact from diagnosis through delivery. Configure, prompt, monitor, and optimize AI agents within complex business software and customer workflows. Collaborate with product and engineering teams, relay customer feedback, support account growth, and contribute to prototypes and document data extraction pipelines.

Own and resolve complex secured lending and real estate disputes with minimal supervision. Prepare court filings, discovery, and appellate papers; represent clients in hearings and mediations; negotiate with opposing parties; conduct loan and mortgage asset due diligence; and coach junior lawyers. The role requires significant real estate dispute experience, New York bar admission, strong advocacy and drafting skills, and familiarity with insolvency law.

Lead a high-value software product from concept through production. Build dependable Java backend services, workflow automation, and user-facing interfaces; run experiments, define success metrics, improve platform reliability, and reduce downtime. Partner with product, data, operations, and support teams to translate customer feedback into technical improvements.

Build and launch production AI services, including agent-style workflows and retrieval pipelines, for external business customers. Design data models and scalable pipelines, own products from concept through launch, and collaborate with commercial teams and customers. Use customer feedback to improve the platform rapidly. The role requires production LLM experience, startup or zero-to-one ownership, strong Python or equivalent programming skills, database design knowledge, and understanding of distributed systems.

Drive new enterprise software business through outbound prospecting and full-cycle sales, from initial outreach to signature. Sell complex operational software to engineers, operators, and senior executives; explain technical and business value; meet annual new-business quotas; and relay customer and market insights to product and engineering teams. The role is based in Los Angeles and requires working onsite three to four days weekly.

Own high-priority cross-functional projects spanning hiring, growth, customer rollout, pricing, and sales operations. Build AI-driven workflows, configure customer workflows on the software platform, define and report core business metrics, and support senior leadership with urgent initiatives. The role requires a flexible generalist mindset, strong execution, comfort with automation and AI tools, and working knowledge of CRM systems, SQL, and spreadsheets.

Own full-stack product features from customer discovery through delivery and iteration. Work directly with technical customers, build frontend and backend solutions, support proofs of concept and post-sales success, and convert feedback into reusable platform capabilities. Use AI coding tools daily while operating with strong product judgment, end-to-end ownership, and concise communication in a fast-moving startup environment.

Own the end-to-end design of a consumer-facing web product, identifying usability issues, designing user flows and interfaces, prototyping, testing, and shipping improvements. Collaborate closely with founders and engineers, maintain a shared interface pattern library, implement frontend changes using AI coding tools, and iterate through user observation and experimentation. The role requires strong product design craft, frontend familiarity, startup experience, and on-site work in San Francisco.

Lead and grow an engineering team while remaining hands-on in coding, design reviews, and debugging. Deliver customer-facing AI products, mentor senior engineers, manage recruiting and onboarding, and partner with business and customer-facing teams on product decisions. The role requires strong backend expertise, engineering management experience, and familiarity with machine learning or AI-driven systems.

Build and maintain scalable third-party API integrations, orchestrated data workflows, and production pipelines. Investigate incidents, improve system resilience, and develop backend projects through requirements, implementation, testing, deployment, and monitoring. Collaborate with senior and customer-facing engineers to convert field feedback into reliable product capabilities.