Jobs at Raydar

Own technical sourcing strategy for AI, machine learning, research, software engineering, product, and related roles. Build market maps and talent pipelines, engage passive candidates through recruiting platforms and technical communities, personalize outreach, assess candidate fit, track sourcing analytics, and improve recruiting tools and workflows. Partner with recruiters and hiring managers while establishing the company’s first dedicated technical sourcing function.

Design and own mechanical robotic subsystems from concept through prototyping, testing, iteration, and production. Responsibilities include CAD modeling, material and tolerance selection, design for manufacturability, hands-on prototype fabrication using 3D printing and CNC machining, and integration of motors, sensors, electronics, and actuators into robotic arms and mobile bases. The role requires close collaboration with hardware teams to develop reliable systems for data center operations.

Lead complex enterprise AI engagements from discovery through deployment, adoption, and expansion. Partner with C-suite stakeholders to define problems, build ROI-driven business cases, and create customer roadmaps. Own strategic and commercial outcomes while collaborating with forward-deployed engineers on technical delivery. Translate customer insights to product and engineering teams, and build repeatable deployment playbooks for a new Applied AI function.

Own strategic OEM relationships through complex hardware product-development cycles from technical qualification to production. Coordinate engineering, product, operations, manufacturing, and supply-chain teams; lead design reviews, milestones, manufacturing readiness, and risk management. Translate partner priorities into internal actions, communicate technical tradeoffs, advocate for customer needs, and help establish processes for a new account-management function.

Founding Engineer responsible for owning a core product domain, making product decisions with founders and customers, and shipping production features end to end. The role involves building multimodal voice, SMS, and email agents, agent memory and state systems, evaluation and guardrail infrastructure, and full-stack applications using React, Next.js, Node.js, and Python. The engineer will work directly with customers, make roadmap tradeoffs, and contribute in a fast-paced, in-person startup environment.

Own the agentic product portfolio’s strategy, vision, roadmap, discovery, and execution. Partner with founders, engineering, commercial leaders, and enterprise customers to align product direction with revenue goals and technical feasibility. Prioritize market opportunities, pricing, specifications, and delivery; lead expansion into healthcare and retail; and prototype concepts using AI coding agents. The role requires substantial customer engagement and hands-on leadership in an early-stage startup.

Build and operate production API integrations, data pipelines, and backend systems using Python and workflow orchestration tools. Own projects from requirements through testing, rollout, and monitoring; investigate production issues and improve reliability. Collaborate with senior and forward-deployed engineers to turn customer insights into product capabilities. The role is hybrid, requiring three days weekly in the Midtown Manhattan office.

Build and own the backend platform for creating, monitoring, optimizing, deploying, and operating autonomous AI agents. Develop production agent implementations, design product features, package software for customer-controlled environments, and make architecture decisions across infrastructure, workflow orchestration, and reliability. The role requires hands-on enterprise deployments, independent problem solving, and onsite work in San Francisco five to six days weekly.

Build the fintech company’s MVP end to end across web, mobile, backend, data, infrastructure, and AI agents. Own architecture, cloud, security, observability, regulated money movement integrations, and compliance guardrails. Establish engineering standards, coordinate contract engineers, and ship reliable production systems quickly. The role begins as the first technical hire with a path toward technical leadership.

Own customer-facing computer vision deployments from proof of concept through production adoption and maintenance. Build data pipelines, edge-device systems, models, and infrastructure using Python, Docker, Kubernetes, Linux, NVIDIA Jetson, and MLOps. Troubleshoot physical-environment challenges such as lighting, calibration, model drift, networking, and hardware constraints. Work onsite with customers, communicate with technical and executive stakeholders, document architectures, and relay field insights to Product and Engineering. The role requires 40%–50% travel.

Own an end-to-end B2B SaaS product area, from customer discovery and strategy through roadmap, delivery, launch, and iteration. Partner with mortgage lenders, engineers, designers, Sales, and Customer Success to identify problems, define specifications, influence architecture, integrate third-party APIs, prototype with AI tools, and use metrics to guide decisions. This is an individual-contributor role requiring technical fluency and zero-to-one product launch experience.

Work directly with both founders to execute strategic initiatives across go-to-market, product, recruiting, and operations. Build and scale outbound and GTM systems, translate founder and customer insights into action, lead cross-functional special projects, create repeatable processes, and use AI tools and automation to increase team leverage.

Research Product Manager focused on AI model capabilities, evaluations, experiments, and synthetic-data programs. The role partners with frontier AI researchers to identify capability gaps, design benchmarks, conduct literature reviews, implement state-of-the-art research, and manage short-term projects through weekly data releases. Candidates will translate ambiguous technical requests into research plans, coordinate researchers and external contributors, and deliver end-to-end technical projects in an on-site, early-stage environment.

Lead discovery, design, launch, and expansion of AI agent deployments for enterprise customers. Manage 1–3 strategic accounts, translate operational workflows into AI agent designs, coordinate with delivery engineers, support go-live, and build executive relationships. The role requires enterprise software implementation experience, technical comfort with LLM APIs and data tools, strong communication, 30% travel, and a five-day onsite schedule.

Own and grow strategic OEM relationships through complex hardware product-development cycles from technical qualification through production. Serve as the primary bridge between customers and engineering, product, operations, legal, and supply-chain teams. Coordinate milestones, design tradeoffs, commercial changes, negotiations, and executive communication while building account-management processes for a new function. This senior individual-contributor role requires technical credibility, strategic account ownership, and approximately 50% international travel.

Build and own the company’s demand generation engine across enterprise account-based marketing and scalable in-house finance campaigns. Responsibilities include full-funnel campaign strategy and execution, paid and outbound programs, conversion optimization, lead routing, attribution, pipeline reporting, and collaboration with Sales, BDR, and Revenue Operations. The role establishes scalable playbooks and infrastructure while driving qualified pipeline and marketing-qualified leads as the first dedicated demand generation hire.

Partner with the CEO to scale claims operations by designing processes, workflows, hiring systems, and data-driven operating models. Lead strategic initiatives and cross-functional problem solving across product, engineering, claims, and business teams. The role requires independently structuring ambiguous problems, improving operational performance, and driving high-impact initiatives through implementation in a fast-growing AI-native insurance company.

Coordinates candidates across recruiters, hiring managers, and search firms while maintaining accurate ATS records and feedback. Reviews inbound applicants, supports scheduling and in-office candidate experiences, and assists with office coordination. Builds repeatable recruiting processes and documentation for a rapidly scaling company. The role requires strong organization, polished communication, discretion, adaptability, and experience in recruiting coordination, recruiting operations, or people operations.

Build and evolve AWS platform infrastructure, Terraform and Pulumi automation, internal developer tooling, TypeScript libraries, CI/CD pipelines, and ephemeral environments. Improve reliability through SLOs, error budgets, observability, autoscaling, and incident response while addressing performance challenges across Aurora PostgreSQL and distributed services. Partner with product engineers, document complex systems, and raise engineering standards.

Build and lead the company’s compliance program across SOC 2, HIPAA, ISO 27001, PCI DSS, and related frameworks. Manage enterprise security reviews and vendor questionnaires, automate compliance and operational workflows with AI and LLM tools, coordinate security, finance, GTM, and cross-functional workstreams, and establish operating processes for a rapidly growing startup.