Top Tech Jobs & Startup Jobs

Lead end-to-end strategic finance analyses for pricing, market entry, capital allocation, and fundraising. Build and maintain unit-economics and ROI models, support investor and board materials, conduct market research and competitive intelligence, and partner cross-functionally to inform product and go-to-market decisions. Drive high-impact initiatives with minimal direction and translate complex analysis into executive-ready recommendations.

Lead and scale internal IT operations including endpoint and identity management, network and vendor management, security and compliance (SOC 2/ISO27001), help desk support, IT policy and budgeting, and build a small IT team. Partner cross-functionally to align tooling, improve efficiency, and execute a 6–12 month IT roadmap.

Design, build, and own scalable batch and streaming data pipelines and data models for analytics and ML. Collaborate with data science, engineering, and product to deliver data products and dashboards, enforce data quality and testing, mentor engineers, and set technical direction for the data platform.

The Systems Engineer will manage system-level features from ideation to customer release, collaborate with cross-functional teams, analyze data, and ensure high-quality delivery.

Lead the development and delivery of fleetwide RFID solutions, managing software programs through the entire development lifecycle, optimizing workflows, and ensuring rigorous testing and validation.

The Senior RFID Systems Engineer will model and improve PHY and MAC systems, addressing RF impairments and collaborating on algorithm implementation in C++.

The VP of People will lead and build RADAR's people function, enhancing people strategy, operations, talent acquisition, and employee relations in a high growth startup environment.

The Senior Associate oversees the planning and execution of RADAR's deployment program by managing scheduling, resource allocation, and ensuring cross-functional coordination for multiple sites.

Lead the General Platform team owning tenant and store onboarding and the core front-end experience. Hands-on engineering manager: set technical direction, participate in architecture and code reviews, mentor engineers, manage agile execution, partner with Product/UX, drive operational quality, and support hiring and cross-functional integration.

The Machine Learning Engineer will build and scale ML infrastructure, drive model performance, and ensure reliability while collaborating with various teams to optimize feature engineering pipelines and champion best practices.