Manager, Coder Fellows

Emploi pas sur LinkedIn

🕒 il y a 7 jours

🏄 California – Distant

🏄 California – Remote

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

👔 Manager

🦅 Parrain de Visa H1B

Cette entreprise a parrainé des visas H1B par le passé.

👻 Score fantôme 11%

Ce que ça veut dire : la probabilité que cette offre reste ouverte sans recrutement actif.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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Snorkel AI

Site WebLinkedInTous les Emplois

51 - 200 employés

Fondée en 2019

💼 Conseil

🏥 Santé

📦 Logistique

Consulting • Healthcare • Logistics

Snorkel AI est une plateforme innovante spécialisée dans la fourniture de données de formation et d'évaluation de niveau expert adaptées aux modèles d'apprentissage automatique. Leur service, connu sous le nom de Données d'Expertise en tant que Service, permet aux organisations de créer des ensembles de données de haute qualité pour les applications d'IA, accélérant considérablement la livraison des modèles et améliorant leur précision. Fondée à partir de recherches menées à Stanford, Snorkel collabore avec des entreprises leaders en IA pour repousser les limites des capacités de l'IA dans divers secteurs, y compris la finance et la santé.

Description

• Directly manage a portfolio of Coding Fellows across multiple projects • Build trusted relationships through regular one-on-ones and ongoing communication • Understand each Fellow’s strengths, goals, challenges, and support needs • Set clear expectations and partner with People Operations and project leaders on onboarding and administrative matters • Own cross-project performance management, including expectations, consolidated feedback, performance reviews, coaching, development, and long-term success • Gather and synthesize feedback across projects while accounting for assignment complexity, project context, ramp time, and changing responsibilities • Recognize strong performance, provide candid feedback, and address concerns through focused improvement plans • Review representative code, pull requests, reviews, annotations, documentation, and commentary to understand quality and development needs • Partner with delivery and quality leads to identify recurring issues and distinguish individual performance concerns from requirements, context, or process gaps • Create feedback loops with project managers, technical leads, reviewers, and other delivery partners • Establish expectations when Fellows join projects, preserve context during transitions, surface assignment mismatches or blockers, and resolve conflicts fairly • Hold career conversations and help Fellows grow as individual contributors, reviewers, quality specialists, coaches, or mentors • Use contextualized metrics to monitor quality, throughput, reliability, team health, and retention • Improve feedback and calibration processes and contribute to hiring and workforce planning as the program scales

🎯 Exigences

• 3+ years of experience in software engineering, technical leadership, or a related environment, including direct management of programmers or software engineers • Experience hiring, onboarding, coaching, conducting performance reviews, delivering actionable feedback, and handling difficult conversations • Experience managing people across multiple projects, clients, teams, or changing assignments • Enough technical depth to read and discuss code and pull requests, assess engineering judgment, and understand core software-development practices • Ability to evaluate performance thoughtfully rather than relying on throughput, ticket volume, or other simple metrics • Strong written and verbal communication, sound judgment, discretion, empathy, and a collaborative, low-ego approach • Experience with AI/ML development, model evaluation, annotation, data quality, or technical-content production is helpful • Experience in a consultancy, software agency, contract engineering shop, professional-services organization, staff-augmentation model, or similar distributed environment is strongly preferred • A computer-science degree is not required

🏖️ Avantages

• Base salary offered • Meaningful opportunities to shape priorities and initiatives • Influence on key strategic decisions • Career development opportunities to deepen technical expertise, explore leadership opportunities, or learn new skills across multiple functions • Environment designed for growth, learning, and shared success • Reasonable accommodation for individuals with disabilities • Equal employment opportunities