Jobs at Raydar

Own full-stack engineering work from scoping through release and refinement. Automate manual application processes, build AI components that analyze complex data, and deliver user-facing interfaces and internal utilities across frontend and backend systems. Investigate relevant rules and standards, incorporate user feedback, and collaborate across the company. The role requires experience shipping features for live products and managing ideas through production, with bonus experience in AI pipelines, task runners, model evaluation, GIS, and geospatial data.

Owns cloud infrastructure and deployment pipelines as the sole infrastructure engineer for a small product team. Responsibilities include CI/CD, AWS architecture, security controls, infrastructure as code, monitoring, incident readiness, networking, cost optimization, vulnerability management, and customer security reviews. The role requires independently building and operating reliable production systems across development, staging, and production environments.

Lead AI agent quality measurement, evaluation design, error analysis, and reliability improvements. Build backend infrastructure and services that run, evaluate, and monitor agents at scale. Investigate agent failures, implement platform-level fixes, shape the AI platform quality roadmap, and mentor engineers on evaluation rigor and error analysis.

Build, maintain, and release features across JavaScript and TypeScript frontends, backend services, databases, and cloud infrastructure. The role involves fixing defects, owning critical live services, developing APIs and data pipelines, improving automated test coverage, and translating ambiguous requirements into production software. The developer will also create workflows for processing engineering drawings and design files while collaborating closely with a small founding team.

Own full-cycle sales for a technology product targeting mid-market prospects, from initial conversations through closing. Build relationships with key accounts, understand buyer challenges, communicate product value to technical and non-technical stakeholders, and coordinate with product, design, and leadership teams. Maintain product roadmap knowledge to align customer solutions with future development. The role requires success selling B2B software or technology products, preferably within high-growth software or fintech startups.

Leads client engagements from scoping through completion, managing scope, timelines, quality, contributors, and deliverable specifications. Supports commercial outcomes and internal operational initiatives involving analysis, coordination, building, and execution. Requires hands-on engineering experience in chemical, biomedical, or life-sciences fields, strong evidence-based reasoning, and on-site work in San Francisco.

Serve as the primary contact for over 100 B2B technology accounts, resolving customer questions and technical issues through phone, email, and chat. Coordinate escalations with account, product, and engineering teams; maintain customer satisfaction; manage knowledge base updates; develop platform expertise; and relay customer feedback to improve products.

Conduct outbound prospecting through email, phone, and professional networking platforms; engage prospective buyers, understand their challenges, and demonstrate the value of technology solutions. Collaborate with product, design, and leadership teams to align offerings with customer needs, maintain key account relationships, and communicate effectively with technical and non-technical audiences.

Leads commercial third-party data acquisition, including sourcing strategy, supplier outreach, complex contract negotiations, licensing terms, renewals, compliance, budget oversight, executive reporting, and associate team management. Collaborates with legal, engineering, operations, and research teams to ensure purchased data is valuable, technically suitable, and compliant with copyright, privacy, and governance requirements.

Lead end-to-end delivery of customer projects, including system design, rollout, configuration, tuning, and hands-on support. Partner with senior leaders and operational teams to discover needs, translate them into technical solutions, and deepen product adoption. Build small workflow tools using Python and JavaScript, share customer insights with product leadership, and help shape the platform roadmap. The role requires strong communication, client-facing engineering experience, and adaptability in a fast-changing environment.

Own and build core backend services and infrastructure for sandboxed workloads, gateways, and task orchestration. Design production systems from zero to one, scale services, ship customer-facing features quickly, and make autonomous technical decisions. The engineer will gradually assume backend ownership from a senior engineer while collaborating closely with customers and the team.

Own product features end to end across backend services and user interfaces. Build automated matching and scheduling systems, predictive analytics for workforce retention, and operational data pipelines. Translate user needs into working releases, establish reusable coding patterns, and use AI-assisted development tools. The role requires strong full-stack engineering, product judgment, interface design, independent execution, and frequent in-person collaboration in a demanding onsite environment.

Build the outbound sales pipeline as the first go-to-market hire at an early-stage AI software company. Generate qualified leads and booked meetings through cold email, LinkedIn, and social direct messaging. Test and refine outreach approaches, identify high-performing methods, and potentially build and lead a sales team as the company grows.

Design and build realistic simulated workplace environments, evaluation tasks, benchmarks, graders, and scoring systems for training and assessing AI models. Generate synthetic records, files, and communications; prevent models from exploiting evaluation systems; align benchmarks with real-world performance; and convert user feedback into new test cases. The role is early-career and emphasizes reinforcement learning or model post-training experience.

Build the execution layer of an AI-driven product, including persistent context, autonomous operation, evaluation systems, infrastructure, and user experiences across documents, messaging, and mobile. The role requires end-to-end architectural ownership, product and interface design instincts, familiarity with AI assistants, daily use of AI tooling, and experience creating measurement methods that influence team decisions.

Leads and expands a senior investigations practice, independently managing complex workplace, education, public-sector, executive conduct, compliance, culture, and governance inquiries. Advises organizations on investigation methods, conducts interviews, prepares findings and legal reports, handles sensitive matters, and develops client relationships, revenue, and new business.

Build and own high-volume backend services for automated jobs, including scheduling, queues, retries, and third-party integrations. Design scalable infrastructure, maintain data integrity and uptime, manage production performance, and deliver features from scoping through deployment. The role involves shaping platform architecture, handling heavy traffic, and collaborating closely with the technical lead. Candidates need startup experience, large-scale background processing expertise, Effect or functional TypeScript experience, and the ability to work hybrid in San Francisco.

Lead growth marketing for a B2B legal services company by building audiences, managing social and content channels, developing community and referral programs, improving search visibility, and creating events. Own the CRM and conversion tracking through booked sales meetings, establish creative direction, test campaigns, and use AI and automation tools to drive efficient growth independently.

Own post-sale customer onboarding and software customization for legal teams. Translate lawyers’ needs into workflows, documents, specifications, and developer tickets; manage delivery, testing, and quality from start to finish. Use AI tooling to tailor solutions, communicate effectively with developers, and convert repeated customization work into scalable processes. The role requires legal experience, product thinking, technical fluency, strong customer discovery skills, and the ability to work across legal, customer, and engineering stakeholders.

Support company founders by owning high-priority initiatives across fundraising, hiring, operations, and go-to-market. Run planning cycles, goals, metrics, meetings, and reviews; prepare presentations and validate internal data. Lead cross-functional projects spanning product operations, finance, partnerships, and recruiting while connecting product, engineering, and go-to-market teams. Identify problems early, develop recommendations, and build repeatable systems that ensure critical work reaches completion.