Jobs at Raydar

About the company

Our client is an AI-native data platform for paid customer acquisition. It helps marketing and growth leaders understand how they acquire customers (server-side conversion tracking, multi-touch attribution and marketing analytics) and optimize where their spend goes, with an ag...

• Build full-stack features and backend services for underwriting, pricing and policy workflows
• Translate actuarial and underwriting logic into production-grade services

• Own end-to-end product development for AI capabilities in a social commerce platform, from discovery to launch
• Work closely with engineering, design and customer-facing teams to build generative prompting workflows and improve AI models

• Set the security vision for an AI-native platform and build it yourself
• Own cloud, Kubernetes, IAM and secure SDLC for an agentic platform

• Own the evaluation framework from scratch, defining what good engineering design looks like when there is no single right answer
• Work with engineering SMEs, customers, partners and internal teams to learn where the system succeeds or fails

• Prospect through email, cold calls, LinkedIn and other channels
• Talk with prospective customers, understand their business challenges and explain how the product can help

• Design, implement and tune MPC and PID control for autonomous haul trucks across varying payloads and grades
• Build state estimation and localization pipelines fusing GPS/RTK, IMU and other sensors, including handling GPS dropouts

• Build pipelines that ingest and quality-check terabytes of robot data a day
• Post-train models and set up fast, reliable training pipelines

• Build secure-by-default libraries, guardrails and internal tools that make the secure path the easy path
• Review architecture, designs and production code for authentication, authorization, tenant isolation, secrets handling and data exposure

• Design and build scalable systems: RL environments, APIs and human-in-the-loop platforms
• Build core infrastructure powering data and evaluation for leading AI labs

• Book qualified meetings with CEOs, COOs and VPs of Operations at manufacturing and distribution companies
• Run high-volume outbound across phone, email and LinkedIn to generate pipeline for account executives

• Own large-scope projects end to end, working through requirements, architecture, implementation, and iteration.
• Build user-facing workflows and backend services across a modern full-stack application.

• Lead complex, multi-stakeholder customer implementations across new specialties, products, and multi-site deployments.
• Own strategic customer relationships from kickoff through launch, coordinating stakeholders from office managers to senior clinical and executive leaders.

• Shape one coherent product strategy across consumer experiences, subscriptions, enterprise tools, and APIs.
• Own consumer product loops, including activation, retention, daily engagement, pricing, packaging, and upgrades.

• Build and ship full-stack product features for voice and conversational AI experiences.
• Integrate speech recognition, text-to-speech, and language-model capabilities into production systems.

• Build and scale reinforcement learning environments and evaluation frameworks for creative domains such as design.
• Design tasks and grading rubrics that measure quality in subjective domains.

• Build and maintain production pipelines for PACER, NYSCEF, state court systems, published opinions, and other legal records.
• Turn PDFs, scanned filings, XML, and HTML into clean, queryable data.

• Lead a zero-to-one product area from discovery through launch and continuous iteration.
• Define product strategy and roadmap for a complex, multi-surface platform.

• Own and improve CI/CD pipelines, including caching, architecture, developer self-service, and deployment workflows.
• Build developer tools and platform capabilities that reduce toil and help engineering teams ship faster.

About the company

Our client is a Sequoia-backed AI company building an autonomous market-research platform for major global brands. Its product handles study design, participant recruitment, interviews, and analysis, helping customers turn business questions into actionable insights in hours in...