У роли четкий фокус на управлении людьми, прямая связь с AI и обозначенные возможности для роста; подробно описанные границы ответственности помогают понять, чего ждать от работы.
Сфера искусственного интеллекта
Четкие границы роли
Поддержка развития
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Manager, Coder Fellows (AI): Managing and developing a portfolio of Coding Fellows who create and review technical content for training and evaluating AI systems with an accent on cross-project performance management, technical quality, and people support. Focus on synthesizing feedback across assignments, coaching growth, resolving delivery-team coordination challenges, and improving quality, collaboration, and retention.
Location: United States (Remote)
Salary: $175,000–$250,000 USD base salary, plus equity
Company
Snorkel AI is an AI data lab developing datasets, benchmarks, evaluations, and custom solutions for real-world AI systems.
What you will do
Directly manage a portfolio of Coding Fellows across multiple projects through regular one-on-ones, communication, onboarding, support, and administration.
Set performance expectations and consolidate evidence from multiple projects while accounting for assignment complexity, project context, ramp time, and changing responsibilities.
Review representative code, pull requests, reviews, annotations, documentation, and commentary to assess quality and development needs.
Partner with project managers, technical leads, reviewers, People Operations, and quality leads to establish expectations, preserve context, identify blockers, and resolve conflicts.
Coach career growth, improve feedback and calibration processes, monitor contextualized quality and retention metrics, and contribute to hiring and workforce planning.
Requirements
3+ years of experience in software engineering, technical leadership, or a related environment, including direct management of programmers or software engineers.
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.
Nice to have
Experience with AI/ML development, model evaluation, annotation, data quality, or technical-content production.
Experience in a consultancy, software agency, contract engineering shop, professional-services organization, staff-augmentation model, or similar distributed environment.
A computer-science degree is not required.
Culture & Benefits
Full-time employment with base salary determined by location and level, plus equity.
Opportunities to shape priorities, influence strategic decisions, and contribute to a rapidly scaling organization.
Support for career growth, technical development, leadership opportunities, and learning across functions.
Equal employment opportunities and reasonable accommodations for applicants and employees with disabilities.
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