Top Tech Jobs & Startup Jobs

Manage and deliver high‑impact dataset and data‑solution projects for frontier AI labs. Scope, coordinate expert contributors, design dataset specifications, write production Python code, and drive projects end‑to‑end to influence foundation model training and product outcomes.

Join the core engineering team to build and scale high-throughput data capture workflows (web and desktop), architect low-latency data pipelines, ship production features, and establish engineering best practices while owning end-to-end projects.

Define and execute go-to-market and brand strategy for technical and enterprise audiences. Launch and optimize multi-channel campaigns, create technical content (case studies, whitepapers, press), measure campaign performance, and represent the company at industry events while collaborating with founders and technical teams.

Manage end-to-end interview scheduling and candidate logistics, maintain ATS records, coordinate interviewers and feedback, support recruiting operations, and improve hiring workflows and documentation to deliver a high-touch candidate experience.

Own full-cycle technical recruiting for engineering and applied-AI roles: source, screen, coordinate interviews, manage offers, and build recruiting systems, pipelines, and metrics while partnering directly with founders and hiring managers.

Design and build full‑stack data capture workflows (Next.js web, Python desktop), architect high‑throughput data pipelines with low latency, collaborate on product strategy, ship features rapidly, and establish engineering best practices for team growth.

Design and scale expert acquisition pipelines combining manual and automated sourcing. Recruit professionals via LinkedIn and campus partnerships, run GTM experiments, manage purchasing, expand conference presence, collaborate with engineering and marketing to optimize product and brand, and represent the company at events.

Design and run controlled SFT and RL post-training experiments to measure dataset impact on model capability, generalization, and alignment. Build public evaluations, publish research and reports, and iterate on data quality with internal teams and partner labs.

Lead client-facing, end-to-end strategic projects with frontier AI labs: scope, design dataset specifications, coordinate expert cross-functional teams, drive delivery and revenue, and support high-impact operational initiatives across engineering, AI, and business functions.

Design, build, and own core infrastructure for large-scale data generation, evaluation, and human-in-the-loop systems. Architect distributed, high-throughput pipelines, shared developer platforms, and reliable production services. Ensure scalability, observability, and fault tolerance while collaborating with research and engineering teams to support AI experimentation and platform capabilities.