Publié il y a 3 mois
Member of Technical Staff
@ Mundo AI
Vancouver, Colombie-Britannique
En bref
Mundo AI is hiring a Member of Technical Staff to define and build custom multimodal data projects for frontier research labs and Fortune 100 companies. The role covers the full project lifecycle, from discovery through delivery, and feeds learnings back into Mundo's core data platform. Full-time.
Salaire :
140 000 $–210 000 $ par année
Responsabilités :
- Turn unclear client goals into a clear, practical plan
- Lead projects from discovery through delivery
- Set quality standards and review real work
- Coordinate people, tools and dependencies
- Communicate with clients and internal teams
Résumé des exigences :
- Experience leading complex, ambiguous systems design work
- Strong hands-on execution and strategic thinking
- Clear communication with external and internal teams
- Ability to decide with incomplete information
- Fast learner of new domains and technical tools
Outils et compétences
Avantages mentionnés
Source et dates
Site carrière / système de candidatures · ashby
- Date publiée par l’employeur
- 2026-08-22
- 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
| Niveau | Intermédiaire |
| Domaine | Développement logiciel |
| Heures par semaine | 40 (estimé) |
| Milieu de travail | Bureau |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
| Avantages mentionnés | Congés payés généreux, Mieux-être, Repas gratuits ou à rabais |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
Mundo AI
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.
The data layer for perceptual intelligence
Description complète de l’entreprise
Mundo develops data, evaluations, and applied research to advance perceptual intelligence across audio, video, and emerging modalities.
- Personnes associées sur LinkedIn
- 23
- Autres noms enregistrés
- Mundo AI
- Mundo AI (YC W25)
- Le profil indique une agence de recrutement
- Non
Mundo develops data, evaluations, and applied research to advance perceptual intelligence across audio, video, and emerging modalities.
| Champ | Valeur |
|---|---|
| Secteur | Data Infrastructure and Analytics |
| Taille | 11-50 employees |
| Type d’organisation | Privately Held |
| Fondée en | 2024 |
| Offres sur Jobsy | 3 |
| Voir la page |
About Mundo AI
Mundo AI builds multimodal data infrastructure for frontier research labs and Fortune 100 companies. Our work covers audio, video, and other new data types that advance perceptual intelligence. We are hiring Members of Technical Staff to create new data infrastructure as well as improve upon existing infrastructure.
The Role
As a Member of Technical Staff - Software, you will work closely with a project team to define and create what is possible for a custom data project, as well as bring learnings back to the core Mundo data infrastructure platform.
What You Will Own
Understand what clients need and turn unclear goals into a clear, practical plan.
Lead work from discovery through delivery, with clear scope, priorities, milestones, decisions, and owners.
Set the standard for quality, review real work, and create simple processes that help teams deliver consistent results.
Coordinate the people, tools, and work required to deliver, while managing risks, changes, and dependencies.
Communicate clearly with clients and internal teams, make practical trade-offs, and keep work moving when plans change.
Use project learning to improve future work, strengthen company systems, and identify new opportunities.
You Might Be a Fit If
You have led complex, ambiguous systems design work from the initial problem to a completed outcome.
You combine clear thinking with hands-on execution and can work at both strategic and detailed levels.
You communicate well with external and internal teams and can make sound decisions with incomplete information.
You learn new domains quickly, are comfortable with technical tools and data, and adapt when priorities change.
You have high agency, low ego, good commercial judgment, and a strong sense of ownership.
Nice to Haves
Experience in an early-stage company.
Experience working with research teams, enterprise clients, or other demanding customers.
Experience with AI, data operations, evaluation, media, or other technical work.
Experience designing quality systems, repeatable processes, or standards for complex work.
Benefits
Medical, dental, vision, and mental health coverage
Short- and long-term disability coverage
Health and Lifestyle Spending Accounts
Generous paid time off
Weekly team lunches and wide variety of office snacks and drinks
Regular team events and socials
Journal
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