Overview
Factored was conceived in Palo Alto, California by Andrew Ng and a team of AI researchers, educators, and engineers to address the global shortage of qualified AI & Machine-Learning engineers. We are committed to testing, vetting, and nurturing talented engineers for our program and our clients.
Position
Senior Manager in Software Engineering (SWE) to lead, develop, and scale our growing SWE Center of Excellence (CoE) made up of an elite group of software engineers (back-end, front-end, full stack, DevOps) working on client applications and in-house product development initiatives.
Responsibilities
- Own the end-to-end strategic planning for the CoE, including growth strategy, defining key areas of focus, career paths, and establishing leadership roles and responsibilities within the team.
- Manage and execute company and team objectives in a dynamic, start-up–oriented, fast-paced engineering environment.
- Serve as a strategic counselor for clients, helping with Factored Talent and driving market discussions as thought leaders.
- Balance engineers' interests and Factored goals in conversations with stakeholders across the company (Sales, Marketing, Finance, Recruiting, Talent Operations, etc.).
- Maintain and enhance streamlined processes to boost efficiency and empower the SWE team.
- Embed Factored values and lead the Center of Excellence, driving confidence within the team.
- Collaborate with the People & Culture team to drive engagement across the SWE team.
- Foster a collaborative and innovative culture, encouraging professional growth and continuous learning by partnering with Factored’s training team.
- Maintain clear, timely updates to peers, executives, and clients on progress, blockers, and capacity forecasts.
- Communicate status and plans to leadership and clients to ensure alignment.
- Other duties as assigned within the scope of the role.
Qualifications
Extensive experience (5+ years) as a Manager / Director leading and building engineering teams in a fast-paced startup environment.Bachelor’s degree in Computer Science or related field; Master’s degree preferred.10+ years of experience with leading-edge data- and / or software-related technologies.Experience managing teams in high-growth, innovative technology environments with demonstrated leadership across planning / execution, people management, processes, and technical excellence.Experience in a professional services company is preferred.Proven ability to build, optimize, and scale high-performing software teams in distributed / remote settings.Excellent written and verbal communication skills with the ability to present complex technical information clearly. Proven ability to lead and inspire teams to meet objectives.Strong hands-on technical experience with a broad range of data analytics frameworks and tools.Familiarity with the complete software development lifecycle including Data Science / Machine Learning, Analytics, and Data Engineering.Ability to visually represent complex data patterns to business stakeholders is preferred.Enthusiasm for staying current with technology trends, experimentation, and participation in technology-focused communities.At Factored, we believe in honesty and transparency, and in giving talented people the freedom to do the best work of their lives while growing professionally. We hire people who are supremely intelligent and talented, and who are passionate about our mission, honest, diligent, collaborative, kind, and fun to be around. Life is too short to work with people who don’t inspire you.
We are a transparent workplace where EVERYBODY has a voice in building OUR company, and where learning and growth are available to everyone based on merit. We recognize that talent and passion exist worldwide, and stamps on resumes matter less than results. We are dedicated doers focused on execution and on accelerating careers in Latin America. We are creating OUR COMPANY TOGETHER, a high-performing, fast-growing business that changes how the world perceives technical talent.
In short, our business is about people. When not nerding out on data science, we enjoy music, sports, games, salsa dancing, cooking, coffee, and great teamwork.
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