Stack AV
Stack AV
Stack AV izstrādā ar mākslīgo intelektu darbināmas autonomas kravu pārvadājumu sistēmas transporta un loģistikas nozarēm. Uzņēmuma darbība apvieno mākslīgo intelektu, mašīnmācīšanos un mākoņtehnoloģijas, lai veicinātu drošākus, uzticamākus un efektīvākus kravu pārvadājumus. Izmantojot autonomo transportlīdzekļu tehnoloģijas, uzņēmums koncentrējas uz piegādes ķēžu pārvaldības, piegāžu veiktspējas un uzņēmējdarbības rezultātu uzlabošanu, savā inženiertehniskajā pieejā par prioritāti izvirzot drošību. Daudznozaru komanda darbojas loģistikas, ražošanas un ar konsultācijām saistītās jomās, attīstot viedus risinājumus mūsdienu kravu transportam.

Head of Data Operations - Autonomous Vehicles (Remote, Pennsylvania)

Lead Stack AV’s Data Operations function across mapping, labeling, and triage teams supporting autonomous trucking technology. Shape vendor strategy, operational automation, analytics, and data-quality programs at scale.

Apraksts

  • Lead Product Development’s Data Operations organization across Mapping, Labeling, Triage, and future operational functions
  • Define and continuously improve data ontologies, operator policies, and data specifications with cross-functional stakeholders
  • Build workflows and policies that support high-volume delivery of accurate labels, maps, and triage annotations
  • Manage strategic vendors and partner organizations handling ground-truth labeling, map production, and related operational work
  • Oversee vendor contracts, budgets, training programs, and compliance with operating policies
  • Work with tooling and infrastructure teams to establish requirements for next-generation tools and automation
  • Apply data analytics to improve workflows, throughput, and quality-control processes
  • Partner with Product, Autonomy, and Systems Engineering teams on autonomous-system development, validation, and deployment

Prasības

  • Bring 10+ years of operations management or related experience, including leadership of data-focused organizations
  • Have substantial experience leading multidisciplinary teams responsible for data annotation, mapping operations, triage, or comparable functions
  • Demonstrate expertise managing globally distributed workforce vendors and developing effective BPO strategies
  • Show a track record of designing, implementing, and scaling complex, data-intensive operational workflows
  • Demonstrate strong data-analysis skills, including defining, building, and reporting organization-wide business metrics
  • Experience in autonomous vehicles or robotics is strongly preferred but not required
  • Understand ML training for perception models, HD mapping, data infrastructure, and data-visualization tools
  • Be prepared to verify residence, U.S. person status, and/or citizenship status as required by national-security and export-control rules
  • Be able to satisfy applicable U.S. export-licensing requirements

Priekšrocības

  • Work for an equal-opportunity employer committed to inclusion, entrepreneurship, and innovation across gender, race, age, sexual orientation, religion, disability, and identity

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