Legion Technologies, Inc.
Director of Engineering – Planning & Forecasting Products San Francisco Bay Area
Legion Technologies, Inc., San Francisco, California, United States, 94199
Director of Engineering – Planning & Forecasting Products
About the Job:
This position will play a pivotal role in Legion’s mission – turning hourly jobs into good jobs – and is passionate about bringing advanced data science to solve data-to-day problems that impact the largest segment of the workforce in the world. This role is a full-time position with the option to work fully remotely or in our Redwood City, California office.
RESPONSIBILITIES
Product and technology leader for Legion’s AI/ML technologies. Develop AI/ML roadmap and educate both internal and external stakeholders at all levels to drive implementation and measurement.
Directly own all efforts in ML-based demand forecasting as well as other ML projects
Develop innovative applied data science solutions that utilize machine learning and deep learning algorithms to support business initiatives.
Build and lead a world‑class team of ML and AI scientists and engineers.
Be a hands‑on leader to mentor the team in the latest machine learning and deep learning approaches, and to introduce new technologies and processes.
Work with ML engineers to design solution architecture and develop a scalable machine learning system to accelerate the learning cycle.
Work with enterprise customers to ensure proper understanding and adoption of Legion’s data‑driven technologies
Evangelize Legion’s innovative approach to solving some very large challenges.
SKILLS AND EXPERIENCES
Ph.D. in Computer Science, Mathematics, Physics, Engineering, Statistics, Operations Research, or other equivalent quantitative fields
8 + years of work experience in Machine Learning, AI, and Data Science with a proven track record to drive innovation and business impacts
3+ years of managing a team of applied scientists and ML engineers
Experience building and deploying ML platform with explainability and model governance.
Strong machine learning, deep learning, and experience in deploying machine learning algorithms and advanced modeling solutions
Proficiency in machine learning and deep learning languages and platforms
Experience in developing featurization and ML infrastructure and system
Self‑starter and self‑motivated with the proven ability to deliver results in a fast‑paced, high‑energy environment
Strong communication skills and the ability to explain complex analysis and algorithms to a non‑technical audience • Works effectively with cross‑functional teams to build a trusted partnership
Experience with enterprise SaaS solutions strongly preferred
PERSONAL ATTRIBUTES AND VALUES
A self‑starter and strong team player who loves collaboration and is open to feedback, comfortable working independently with a focus on high‑priority issues, and influencing cross‑functional teams
A “get stuff done person” that can juggle programs and initiatives
Analytical and curious; like to understand exactly how the product works and how to best communicate its value
Personal passion and enthusiasm for industry‑leading, next‑generation technology
Resourceful and creative. Figures out how to make the most of any asset
A problem solver looking to help us continually improve and grow
Our mission of turning hourly jobs into good jobs resonates and is intriguing
COMPENSATION & BENEFITS
Salary Range: Base Salary Range $200,000 - $250,000 + Bonus (if applicable) + Stock Equity
At Legion, we offer competitive compensation and benefits packages to all employees. As a fully remote employer, pay for positions is determined using local, national, and industry‑specific survey data.
Our posted salary range is done so in good faith based on national data and may be refined for a candidate's region/town/cost of living. We strive to make competitive offers allowing employees room for future growth. Salaries will be based on the applicant’s location, level of experience, education, and specialized knowledge and skills. Additionally, we consider the external market rate, the amount we have budgeted internally, and internal equity within the company for the same position.
Benefits include, but are not limited to:
$0 monthly premium and other flexible medical, dental, and vision plans effective on the first day of employment
401k plan
Discretionary Paid Time Off and Paid Holidays
Equity
Monthly Wellness Reimbursement
Monthly Lunch on Legion
BACKGROUND AND OPPORTUNITY
The hourly workforce currently constitutes almost 60% of the overall labor market in the United States and these nearly 80 million hourly workers are the driving force behind many of our largest domestic industries like food/beverage, retail, and hospitality. Management of this workforce has historically been difficult due to high churn (average of 60%), high cost of replacement (average of $3,200 per employee in retail), and now new challenges are developing as millennials enter this market. The retail vertical alone spends $62 billion dollars a year on replacing workers and over 50% of hourly workers leave their jobs because of flexibility reasons.
In our modern, Uber‑ized times, younger folks seek gig‑like flexibility, modern mobile‑first technology, and compelling work options. They want to use an app on their phone to schedule work, not haggle with the manager over their schedule on a week‑to‑week basis. Likewise, employers are increasingly in need of a flexible and efficient labor model that supports the innovations (think pop‑up stores, home delivery, mobile ordering, service options, etc) needed, and frankly demanded, by today’s modern customers. Mid‑market organizations have never had a technology platform to manage their hourly workers and the enterprise is mired in decades‑old technology that’s both user‑unfriendly and wildly ineffective for managing today’s modern hourly workforce. There is a huge opportunity to modernize and upgrade how hourly workers interact with their employers and while enabling employers to be elastic, efficient, and innovative, and that is the focus of Legion.
Legion is an equal opportunity employer. All applicants will be considered for employment without attention to race, religion, color, sex, sexual orientation, gender identity, age, national origin, veteran, disability status, or any other basis covered by appropriate law.
How We Determine What We Pay As a global employer, Legion determines pay for positions using local, national, and industry‑specific survey data. We evaluate external equity and the cost of labor/prevailing wage index in the relative marketplace for jobs directly comparable to jobs within our company. Our posted salary range is based on national data and may be refined for a candidate's region/town/cost of living. For new hires, we strive to make competitive offers allowing the new employee room for future growth. Salaries will be based on the applicant’s location, level of experience, education, and specialized knowledge and skills. Additionally, we consider the external market rate, the amount we have budgeted internally, and internal equity within the company for the same position. An employee/candidate with a stronger skill set will receive higher pay.
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RESPONSIBILITIES
Product and technology leader for Legion’s AI/ML technologies. Develop AI/ML roadmap and educate both internal and external stakeholders at all levels to drive implementation and measurement.
Directly own all efforts in ML-based demand forecasting as well as other ML projects
Develop innovative applied data science solutions that utilize machine learning and deep learning algorithms to support business initiatives.
Build and lead a world‑class team of ML and AI scientists and engineers.
Be a hands‑on leader to mentor the team in the latest machine learning and deep learning approaches, and to introduce new technologies and processes.
Work with ML engineers to design solution architecture and develop a scalable machine learning system to accelerate the learning cycle.
Work with enterprise customers to ensure proper understanding and adoption of Legion’s data‑driven technologies
Evangelize Legion’s innovative approach to solving some very large challenges.
SKILLS AND EXPERIENCES
Ph.D. in Computer Science, Mathematics, Physics, Engineering, Statistics, Operations Research, or other equivalent quantitative fields
8 + years of work experience in Machine Learning, AI, and Data Science with a proven track record to drive innovation and business impacts
3+ years of managing a team of applied scientists and ML engineers
Experience building and deploying ML platform with explainability and model governance.
Strong machine learning, deep learning, and experience in deploying machine learning algorithms and advanced modeling solutions
Proficiency in machine learning and deep learning languages and platforms
Experience in developing featurization and ML infrastructure and system
Self‑starter and self‑motivated with the proven ability to deliver results in a fast‑paced, high‑energy environment
Strong communication skills and the ability to explain complex analysis and algorithms to a non‑technical audience • Works effectively with cross‑functional teams to build a trusted partnership
Experience with enterprise SaaS solutions strongly preferred
PERSONAL ATTRIBUTES AND VALUES
A self‑starter and strong team player who loves collaboration and is open to feedback, comfortable working independently with a focus on high‑priority issues, and influencing cross‑functional teams
A “get stuff done person” that can juggle programs and initiatives
Analytical and curious; like to understand exactly how the product works and how to best communicate its value
Personal passion and enthusiasm for industry‑leading, next‑generation technology
Resourceful and creative. Figures out how to make the most of any asset
A problem solver looking to help us continually improve and grow
Our mission of turning hourly jobs into good jobs resonates and is intriguing
COMPENSATION & BENEFITS
Salary Range: Base Salary Range $200,000 - $250,000 + Bonus (if applicable) + Stock Equity
At Legion, we offer competitive compensation and benefits packages to all employees. As a fully remote employer, pay for positions is determined using local, national, and industry‑specific survey data.
Our posted salary range is done so in good faith based on national data and may be refined for a candidate's region/town/cost of living. We strive to make competitive offers allowing employees room for future growth. Salaries will be based on the applicant’s location, level of experience, education, and specialized knowledge and skills. Additionally, we consider the external market rate, the amount we have budgeted internally, and internal equity within the company for the same position.
Benefits include, but are not limited to:
$0 monthly premium and other flexible medical, dental, and vision plans effective on the first day of employment
401k plan
Discretionary Paid Time Off and Paid Holidays
Equity
Monthly Wellness Reimbursement
Monthly Lunch on Legion
BACKGROUND AND OPPORTUNITY
The hourly workforce currently constitutes almost 60% of the overall labor market in the United States and these nearly 80 million hourly workers are the driving force behind many of our largest domestic industries like food/beverage, retail, and hospitality. Management of this workforce has historically been difficult due to high churn (average of 60%), high cost of replacement (average of $3,200 per employee in retail), and now new challenges are developing as millennials enter this market. The retail vertical alone spends $62 billion dollars a year on replacing workers and over 50% of hourly workers leave their jobs because of flexibility reasons.
In our modern, Uber‑ized times, younger folks seek gig‑like flexibility, modern mobile‑first technology, and compelling work options. They want to use an app on their phone to schedule work, not haggle with the manager over their schedule on a week‑to‑week basis. Likewise, employers are increasingly in need of a flexible and efficient labor model that supports the innovations (think pop‑up stores, home delivery, mobile ordering, service options, etc) needed, and frankly demanded, by today’s modern customers. Mid‑market organizations have never had a technology platform to manage their hourly workers and the enterprise is mired in decades‑old technology that’s both user‑unfriendly and wildly ineffective for managing today’s modern hourly workforce. There is a huge opportunity to modernize and upgrade how hourly workers interact with their employers and while enabling employers to be elastic, efficient, and innovative, and that is the focus of Legion.
Legion is an equal opportunity employer. All applicants will be considered for employment without attention to race, religion, color, sex, sexual orientation, gender identity, age, national origin, veteran, disability status, or any other basis covered by appropriate law.
How We Determine What We Pay As a global employer, Legion determines pay for positions using local, national, and industry‑specific survey data. We evaluate external equity and the cost of labor/prevailing wage index in the relative marketplace for jobs directly comparable to jobs within our company. Our posted salary range is based on national data and may be refined for a candidate's region/town/cost of living. For new hires, we strive to make competitive offers allowing the new employee room for future growth. Salaries will be based on the applicant’s location, level of experience, education, and specialized knowledge and skills. Additionally, we consider the external market rate, the amount we have budgeted internally, and internal equity within the company for the same position. An employee/candidate with a stronger skill set will receive higher pay.
#J-18808-Ljbffr