Jobs at Raydar

Designs, builds, secures, and operates portable production infrastructure for AI-driven software across public clouds. Owns cloud environments, Kubernetes orchestration, Terraform-based infrastructure, CI/CD pipelines, monitoring, reliability, and deployment automation. Develops internal self-service tooling to eliminate repetitive operational work and coordinates with application and platform teams. Requires cloud or AI infrastructure experience, high-performance computing knowledge, major cloud platform experience, and ArgoCD or FluxCD deployment expertise.

Conduct applied machine learning research on language models, translating client workflows and model limitations into research questions, datasets, evaluations, experiments, and production-ready models. Develop reward functions and automated checkers, run fine-tuning and reinforcement learning experiments, analyze failures through ablation and held-out testing, and collaborate with researchers and infrastructure engineers to deploy successful models. The role also involves client collaboration, technical judgment, and potentially mentoring junior team members.

Develop and manage the company’s content strategy across social, newsletters, blogs, websites, case studies, thought leadership, announcements, video scripts, and sales enablement. Translate leadership insights into accessible technical content, create customer stories, improve search visibility, and establish AI-assisted workflows for research, drafting, repurposing, and reporting.

Lead customer acquisition across paid, email, referral, event, and community channels. Manage a substantial marketing budget, optimize campaign performance, build professional communities, and plan in-person events. Partner with senior leadership on growth strategy, test new acquisition channels, strengthen brand credibility, and operate independently in a fast-growing startup environment.

Chief of Staff responsible for scaling a software company’s non-engineering operations. Duties include managing sales pipelines and customer calls, overseeing financial close and runway reporting, handling commercial agreements, coordinating people and premises administration, leading pricing and market-entry projects, and supporting fundraising. The role partners closely with the CEO and CTO and requires startup operating experience, revenue-side knowledge, machine learning familiarity, and on-site availability in New York City.

Lead the architecture, security, scalability, and reliability of a central data platform. Build high-concurrency services in Go and Python, data ingestion and persistence components, graph and vector search capabilities, cloud infrastructure, CI/CD, observability, and developer tooling. Establish security controls, engineering standards, and reliability practices while mentoring engineers and supporting hiring and team growth.

Build and optimize infrastructure for training and serving specialized language models in production. Improve inference speed, throughput, hardware utilization, memory efficiency, and cost through batching, caching, reduced precision, and accelerated decoding. Own dependable deployment, monitoring, evaluation, synthetic data generation, and reinforcement learning pipelines. Collaborate with researchers and leadership to allocate accelerator capacity and deploy post-trained models to client environments.

Build and scale server-side infrastructure for usage tracking, invoicing, and reporting. Responsibilities include ensuring exactly-once usage counting despite delayed or duplicated records, maintaining responsive services across interactive and offline workloads, validating invoice accuracy, optimizing usage dashboards, and contributing to backend infrastructure. The role requires Python, relational or cache data-store experience, frontend familiarity with Next.js or React, and experience operating high-volume systems.

Build and deploy AI automation tools for accounting firms, including document processing, bank transaction matching, transaction classification, browser-based agents, and integrations with legacy software. Work on-site with accounting staff to map workflows, launch tools on live records, monitor adoption, and refine products. Contribute reusable platform components and support acquisition due diligence by evaluating systems, data, and automation opportunities.

Own the full sales cycle for a software product, including prospecting, demonstrations, proposals, negotiations, and closing. Build relationships with senior decision-makers, close sizable annual contracts, and hand off new customers for pilots and training. Represent the company at conferences, develop new buyer segments, and refine the sales playbook as the company targets larger customers.

Designs evaluation frameworks, scoring tools, data workflows, and simulated environments for machine learning models. Runs training and evaluation experiments, improves model quality, cost, and latency, replicates research, debugs systems, and converts successful experiments into reliable platform components. The role collaborates closely with founders and requires strong coding, machine learning fundamentals, independent execution, and on-site work five days per week.

Owns the full enterprise sales cycle for a financial services company, from prospecting and product demonstrations through negotiations, contracts, onboarding, and early customer usage. Builds outbound and inbound sales processes, qualification criteria, pricing, pipeline reporting, and repeatable playbooks. Partners with legal, compliance, banking, technical, and leadership teams, develops a self-serve path, and eventually hires sales development and account management staff.

Write production software for outdoor robotic machines, including sensing, trajectory planning, and control. Build integration and testing practices for hardware-software systems, transfer completed hardware into software development, and validate equipment with hardware engineers. The role requires hands-on work in a San Leandro office, occasional field-site travel, and collaboration across hardware and software teams.

Lead full-cycle recruiting for multiple roles at a fast-growing software company, initially focusing on go-to-market hires. Source passive candidates, build talent pipelines, persuade candidates to join, manage recruiting operations, and develop scalable hiring processes, evaluation practices, and recruiting tools. The role requires proactive sourcing expertise, early go-to-market recruiting experience, and the ability to work onsite in San Francisco five days per week.

Build and ship end-to-end software spanning backend systems and user interfaces. Work directly with customers onsite to understand workflows and translate insights into product direction. Own core systems, independently drive initiatives, and integrate reliable large language model capabilities into production, including structured outputs, tool use, agent workflows, retrieval, evaluation, and human review. Travel to customer locations across the United States approximately twice per quarter.

Build and lead the customer success function for a software company. Own client relationships across onboarding, retention, expansion, and feedback; help customers achieve platform value; identify at-risk accounts; support renewals and growth; collaborate with sales, product, and engineering; and contribute to marketing, positioning, content, events, and launches.

Build and maintain connectors between Windows desktop applications, legacy enterprise software, cloud business platforms, and backend services. Own server-side systems through design, deployment, production support, and release. Develop a shared integration layer that separates connector code from core application logic. Use screen automation, database queries, file transfers, and reverse-engineering techniques to connect older systems. The role is hybrid in San Mateo, with on-site work three days weekly.

Leads client deployments by understanding operational needs, identifying software-agent opportunities, scoping requirements, and coordinating integrations, prototypes, implementation, adoption, and measurable outcomes. Partners with engineers, company leadership, founders, and commercial teams to guide deployment decisions, influence product priorities, and develop customer deployment practices. The role requires technical fluency, client-facing autonomy, and full-time onsite work in New York.

Design, build, and operate reliable backend infrastructure for long-running automated software processes. Develop execution, state tracking, recovery, data modeling, review, access control, monitoring, and debugging systems. Own projects from architecture through production deployment, diagnose failures across system boundaries, and help shape the company’s technical direction and potential developer tools.

Conduct hands-on research on neural networks and learning methods, build data preparation and evaluation systems, design repeatable experiments, investigate failed training runs, and validate improvements on extended tasks. The role owns research from initial question through implementation and collaborates with infrastructure engineers to move successful methods into production systems.