Publié il y a 9 mois
Director of Product , Data Flywheel
@ Serve Robotics
Montréal, QC · Vancouver, BC · Calgary, AB · Alberta · Toronto, ON +1
En bref
Serve Robotics is hiring a Director of Product to lead the Autonomy Data Flywheel, an internal data product that supports training and validation of its end-to-end AI models for sidewalk delivery robots. The role covers the full data lifecycle from edge and depot offloading to cloud training infrastructure, and is a full-time position open to remote candidates in the United States and Canada. Salary is CAD 175,000 to 215,000 for Canada.
Responsabilités :
- Build and drive the roadmap for the Autonomy Data Flywheel
- Draft requirements and ensure delivery for all data consumers
- Set and achieve quality and quantity KPI targets with engineering teams
- Define and maintain data diversity metrics for sidewalk ODD coverage
- Lead cross-functional depot and cloud infrastructure initiatives
Résumé des exigences :
- Product or engineering experience with AV, automotive or robotics data infrastructure
- Experience building production ML Ops pipelines
- Fluency with training datasets and AI model evals
- Experience with edge/depot data infrastructure such as NAS (preferred)
- Experience with ML Ops, targeted and active learning
Outils et compétences
Source et dates
Site carrière / système de candidatures · ashby
- Date publiée par l’employeur
- 2026-02-03
- Première détection par notre source
- 2026-10-11
- Mise à jour du dossier source
- 2026-11-07
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Directeur ou directrice |
| Domaine | Gestion de produit |
| Heures par semaine | 40 (estimé) |
| Milieu de travail | Bureau |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
Serve Robotics
Profil d’entreprise sauvegardé
Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.
Serve Robotics develops advanced, AI-powered, sidewalk delivery robots that make delivery sustainable and economical
Description complète de l’entreprise
Serve Robotics (NASDAQ:SERV) develops advanced, AI-powered, low-emissions sidewalk delivery robots that endeavor to make delivery sustainable and economical. Spun off from Uber in 2021 as an independent company, Serve has completed tens of thousands of deliveries for enterprise partners such as Uber Eats and 7-Eleven. The company has scalable multi-year contracts, including a signed agreement to deploy up to 2,000 delivery robots on the Uber Eats platform across multiple U.S. markets. Come join us, we are hiring!
- Abonnés LinkedIn
- 29 393
- Personnes associées sur LinkedIn
- 409
- Bureaux déclarés
- Los Angeles, CA 90046, US
- San Francisco, CA 94122, US
- Miami, Florida 33130, US
- Dallas, TX 75204, US
- Catégories d’activité
- Information Technology
- Robotics
- Food Delivery
- Logistics
- Artificial Intelligence (AI)
- Autres noms enregistrés
- Serve Robotics
- Le profil indique une agence de recrutement
- Non
- Investissement total déclaré
- 544 000 000
La devise et la date d’observation ne sont pas fournies; ce n’est ni une valorisation actuelle ni une ronde de financement.
Serve Robotics (NASDAQ:SERV) develops advanced, AI-powered, low-emissions sidewalk delivery robots that endeavor to make delivery sustainable and economical. Spun off from Uber in 2021 as an independent company, Serve has completed tens of thousands of deliveries for enterprise partners such as Uber Eats and 7-Eleven. The company has scalable multi-year contracts, including a signed agreement to deploy up to 2,000…
| Champ | Valeur |
|---|---|
| Secteur | Technology, Information and Internet |
| Taille | 51-200 employees |
| Siège social | Los Angeles, CA |
| Type d’organisation | Public Company |
| Fondée en | 2021 |
| Offres sur Jobsy | 5 |
| Voir la page |
At Serve Robotics, we’re reimagining how things move in cities. Our personable sidewalk robot is our vision for the future. It’s designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses.
The Serve fleet has been delighting merchants, customers, and pedestrians along the way in Los Angeles, Miami, Dallas, Atlanta and Chicago while doing commercial deliveries. We’re looking for talented individuals who will grow robotic deliveries from surprising novelty to efficient ubiquity.
Who We Are
We are tech industry veterans in software, hardware, and design who are pooling our skills to build the future we want to live in. We are solving real-world problems leveraging robotics, machine learning and computer vision, among other disciplines, with a mindful eye towards the end-to-end user experience. Our team is agile, diverse, and driven. We believe that the best way to solve complicated dynamic problems is collaboratively and respectfully.
Data is an integral part of Serve’s autonomy stack. As of EOY 2025, Serve has 2000 actively deployed robots making real world deliveries across numerous US cities. ‘Autonomy Data Flywheel’ is an internal Data product initiative that leverages on this large scale of real world robots and super-charges our End-End AI model development. It covers the entire data lifecycle starting with the data offloading infrastructure on edge, depots, and meeting the engineering needs of training, testing & validation.
Responsibilities
Build and drive roadmap for the Autonomy Data Flywheel
Draft requirements and ensure delivery for all consumers of the data including End-End AI, Perception, Safety and other teams.
Work with engineering teams to set and achieve targets for both quality and quantity KPIs
Define and maintain Data Diversity metrics for maximizing scenario coverage on Sidewalk ODD(Operational Design Domain)
Cross functional initiatives with Operations and IT teams to drive depot and cloud infrastructure work.
Support Data pipelines so that we are retaining the right data without impacting safety and day to day operations
Qualifications
Product/Engineering Experience for data infrastructure in AV/Automotive or Robotics/Edge AI industries
Experience building production level ML Ops pipelines
Fluent with training datasets and evals for AI models
Preferred: Experience with data infrastructure at Edge/Depot (E.g. NAS infra) and Cloud
Experience with ML Ops, targeted and active learning approaches
*Please note: The listed base salary range applies to candidates based in the San Francisco Bay Area. Compensation may vary depending on location, experience, and role alignment. We are open to qualified candidates working remotely within the United States and Canada
USA - ALL: $200k - $245k USD
Canada - ALL: $175k - $215k CAD
Journal
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