Total Rewards Manager

Posted 9 Days Ago
Be an Early Applicant
12 Locations
Remote
5-7 Years Experience
Artificial Intelligence • Machine Learning • Analytics
The Role
Develop and implement comprehensive compensation and benefits plans, conduct benchmarking analysis, manage salary review processes, collaborate with finance and recruitment, stay informed about legislative changes, and manage leadership team's compensation activities.
Summary Generated by Built In

Who We Are:

Factored was conceived in Palo Alto, California by Andrew Ng and a team of highly experienced AI researchers, educators, and engineers to help address the significant shortage of qualified AI & machine learning engineers globally. ​We know that exceptional technical aptitude, intelligence, communication skills, and passion are equally distributed around the world, and we are very committed to testing, vetting, and nurturing the most talented engineers for our program and on behalf of our clients.


We are searching for a highly motivated Total Rewards Manager to implement and lead the Compensation Strategy of Factored working as a key partner of the senior leadership of the company. #LI-Remote

Functional Responsibilities:

  • Develop and implement comprehensive compensation and benefits plans and programs that are competitive, equitable, and aligned with the Company’s strategy.
  • Conduct regular benchmarking and analysis of compensation and benefits packages to ensure competitiveness in the market and industry in key Latin American countries.
  • Manage annual salary review processes, propose and update bonus programs, and other incentive schemes. All this process includes planning, implementing, and communicating salary increases. 
  • Design and implement performance-based compensation and bonus structure, annual short and long term incentives for different departments of the organization.
  • Collaborate with finance to implement the Company’s job architecture aligned with market trends. 
  • Partner with recruitment and finance to provide guidance on compensation matters, including job evaluations and salary offers.
  • Collaborate with external vendors and consultants to negotiate contracts and manage relationships related to compensation and benefits services.
  • Prepare and present reports and recommendations to senior management on compensation trends, budget utilization, and cost projections.
  • Stay informed about legislative changes and market trends affecting compensation and benefits practices, recommending adjustments as necessary.
  • Manage the leadership team's compensation activities and payroll.

Qualifications:

  • Bachelor’s degree in Business, Human Resources, Finance or related fields is required.
  • 5+ years of experience in Total Rewards.
  • Highly proficient with MS Excel, PowerPoint, and Google Suite.
  • Self-directed with the ability to work autonomously on several projects concurrently.
  • Excellent communication and analytical skills.
  • High proficiency in written and spoken English.
  • Global experience is preferred.
  • Comfort with a fast-paced environment, leading transformations.
  •  Future-focused, thinking ahead and anticipating risks and opportunities.
  •  Excellent organizational skills with the ability to work on multiple projects simultaneously; must be able to manage time and workload effectively to meet deadlines.

At Factored, we believe that passionate, smart people expect honesty and transparency, as well as the freedom to do the best work of their lives while learning and growing as much as possible. Great people enjoy working with other passionate, smart people, so we believe in hiring right, and are very selective about who joins our team. Once we hire you, we will invest in you and support your career and professional growth in many meaningful ways. We hire people who are supremely intelligent and talented, but we recognize that intelligence is not enough. Perhaps more importantly, we look for those who are also passionate about our mission and are honest, diligent, collaborative, kind to others, 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 is available to everyone based on their merits, not just on stamps on their resume. As impressive as some of the stamps on our resumes are, we recognize that human talent and passion exist everywhere, and come from many backgrounds, so stamps matter much less than results. All of us are dedicated doers and are highly energetic, focusing vehemently on execution because we know that the best learning happens by doing. We recognize that we are creating OUR COMPANY TOGETHER, which is not only a high-performing fast-growing business, but is changing the way the world perceives the quality of technical talent in Latin America. We are fueled by the great positive impact we are making in the places where we do business, and are committed to accelerating careers and investing in hundreds (and hopefully thousands) of highly talented data science engineers and data analysts.

 

In short, our business is about people, so we hire the best people and invest as much as possible in making them fall in love with their work, their learning, and their mission. When not nerding out on data science, we love to make music together, play sports, play games, dance salsa, cook delicious food, brew the best coffee, throw the best parties, and generally have a great time with each other.


Top Skills

Google Suite
Excel
PowerPoint
The Company
Palo Alto, CA
166 Employees
On-site Workplace
Year Founded: 2019

What We Do

Factored (backed by Andrew Ng's AI Fund and deeplearning.ai) helps leading tech companies select, upskill, and build world-class data science, machine learning and AI engineering teams much faster and more cost effectively. Our engineers have been personally vetted, educated, and mentored by some of the most talented and recognized AI educators and engineers from Silicon Valley, Stanford University and deeplearning.ai.

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