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Publié il y a 2 mois

Senior Product Manager

@ LanceDB

Toutes ses offres Site Web

Canada

Temps plein10+ ans d’expérience
Postuler
SIGNAUX

En bref

LanceDB is hiring a Senior Product Manager for its AI-native Multimodal Lakehouse platform, used by customers such as Runway, Midjourney and Netflix. The role shapes the roadmap with the CTO and engineering leadership, talks to users constantly, and turns insight into product changes.

Responsabilités :

  • Shape roadmap with CTO and engineering leadership
  • Conduct deep dives into competitors, users and adjacent technology
  • Talk to users constantly and turn insight into product changes
  • Drive cross-team decisions on priorities

Résumé des exigences :

  • 10+ years in a highly technical role
  • 5+ years of product work
  • Shipped and iterated on products end-to-end
  • Experience with large-scale data platforms
  • Understanding of the AI researcher persona
  • Experience with open source communities

Outils et compétences

LeadershipMLPrioritizationCommunication skills
Source et dates

Site carrière / système de candidatures · ashby

Date publiée par l’employeur
2026-09-01
Première détection par notre source
2026-10-08
Mise à jour du dossier source
2026-10-09

Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.

Détails du poste

NiveauSenior
DomaineGestion de projet
Expérience10 an(s) et plus
Heures par semaine40 (estimé)
Milieu de travailBureau
PositionSurtout assis
Exigences physiquesphysique faible · ordinateur élevé
LanguesEnglish

Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.

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LanceDB

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.

Developer-friendly, open source database for multi-modal AI

Description complète de l’entreprise

LanceDB is a developer-friendly, open source database for multimodal AI. From hyper scalable vector search to advanced retrieval for RAG, from streaming training data to interactive exploration of large scale AI datasets, LanceDB is the best foundation for your AI application.

Abonnés LinkedIn
11 585
Personnes associées sur LinkedIn
49
Bureaux déclarés
  • San Francisco, California, US
Catégories d’activité
  • Information Services
  • Artificial Intelligence (AI)
  • Machine Learning
Autres noms enregistrés
  • LanceDB
Le profil indique une agence de recrutement
Non
Investissement total déclaré
41 000 000

La devise et la date d’observation ne sont pas fournies; ce n’est ni une valorisation actuelle ni une ronde de financement.

Toutes ses offres Site Web

LanceDB is a developer-friendly, open source database for multimodal AI. From hyper scalable vector search to advanced retrieval for RAG, from streaming training data to interactive exploration of large scale AI datasets, LanceDB is the best foundation for your AI application.

ChampValeur
SecteurInformation Services
Taille11-50 employees
Siège socialSan Francisco, California
Type d’organisationPrivately Held
Fondée en2022
Offres sur Jobsy5
LinkedInVoir la page
Description

About LanceDB

AI advances at the speed of its research, and research moves at the speed of its data. LanceDB is the AI-native Multimodal Lakehouse: one system where a researcher curates petabytes of video, audio, and every signal derived from them with a few lines of Python, and the next training run starts as fast as the next idea. Customers like Runway, Midjourney, and Netflix build the future of AI on LanceDB, from frontier and world models to robots and autonomous vehicles.

About the Role

  • Takes high-level direction (e.g., “analyze X”) and drives to results across the company

  • Success looks like a LanceDB platform that is even more tightly focused on our ICP, and providing clarity on what engineering builds

What You'll Do

  • Shape roadmap with CTO + eng leadership

  • Deep dives into competitors, users, and adjacent tech

  • Talk to users constantly; turn insight into product changes

  • Drive cross-team decisions on priorities (eng, field, support)

  • Work with engineering directly as a technically-respected peer

What We're Looking For

  • 10+ years in a highly technical role

  • 5+ years of product work

  • Shipped and iterated on products end-to-end

  • Experience working on large-scale data platforms (e.g., databases, data infra, ML/AI systems)

  • Understanding of AI researcher persona - what success looks like for them, what are their pain points, what increases their happiness

  • Regularly engaged with users (interviews, support, design partners, or community)

  • Demonstrated ownership of ambiguous projects with minimal guidance

  • Experience influencing or driving roadmap / prioritization decisions

  • Strong written and verbal communication (can drive alignment across teams)

  • Comfortable using data (metrics, experiments, usage) to guide decisions

  • Experience contributing to or working with open source communities

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Lieux et modes de travail

Lieux

Tout le CanadaTélétravail · Hybride · Sur place · Sur le terrain

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