Director of Engineering – Planning & Forecasting Products

Legion

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profile Job Location:

San Francisco, CA - USA

profile Monthly Salary: $ 200000 - 250000
Posted on: 2 days ago
Vacancies: 1 Vacancy

Job Summary

About the Job:

This position will play a pivotal role in Legions 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

  1. Product and technology leader for Legions AI/ML technologies. Develop AI/ML roadmap and educate both internal and external stakeholders at all levels to drive implementation and measurement.
  2. Directly own all efforts in ML-based demand forecasting as well as other ML projects
  3. Develop innovative applied data science solutions that utilize machine learning and deep learning algorithms to support business initiatives.
  4. Build and lead a world-class team of ML and AI scientists and engineers.
  5. 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.
  6. Work with ML engineers to design solution architecture and develop a scalable machine learning system to accelerate the learning cycle.
  7. Work with enterprise customers to ensure proper understanding and adoption of Legions data-driven technologies
  8. Evangelize Legions innovative approach to solving some very large challenges.

SKILLS AND EXPERIENCES

  1. Ph.D. in Computer Science Mathematics Physics Engineering Statistics Operations Research or other equivalent quantitative fields
  2. 8 years of work experience in Machine Learning AI and Data Science with a proven track record to drive innovation and business impacts
  3. 3 years of managing a team of applied scientists and ML engineers
  4. Experience building and deploying ML platform with explainability and model governance.
  5. Strong machine learning deep learning and experience in deploying machine learning algorithms and advanced modeling solutions
  6. Proficiency in machine learning and deep learning languages and platforms
  7. Experience in developing featurization and ML infrastructure and system
  8. Self-starter and self-motivated with the proven ability to deliver results in a fast-paced high-energy environment
  9. 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
  10. 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 $200000 - $250000 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 candidates region/town/cost of living. We strive to make competitive offers allowing employees room for future growth. Salaries will be based on the applicants 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
  • Parental Leave
  • 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 $3200 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 todays 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 thats both user-unfriendly and wildly ineffective for managing todays 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 candidates 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 applicants 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.

Job Applicant Privacy Policy

This Job Applicant Privacy Policy (Policy) describes how Legion Technologies Inc. (Legion we us and our) collects uses and discloses personal information as defined under California law from and about job applicants who are residents of California.

This Policy does not apply to our handling of data gathered about you in your role as a user of our consumer-facing services. When you interact with us as in that role theLegion Privacy Policyapplies.

  1. Types of Personal Information We Handle

    We collect store and use various types of personal information through the application and recruitment process. We collect such information either directly from you or (where applicable) from another person or entity such as an employment agency or consultancy background check provider or other referral sources. This information includes:

    • Identification and contact information and related identifierssuch as full name date and place of birth citizenship and permanent residence home and business addresses telephone numbers email addresses and such information about your beneficiaries or emergency contacts.
    • Professional or employment-related informationincluding:
      • Recruitment employment or engagement informationsuch as application forms and information included in a resume cover letter or otherwise provided through any application or engagement process; and copies of identification documents such as drivers licenses passports and visas; and background screening results and references.
      • Career informationsuch as job titles; work history; work dates and work locations; information about skills qualifications experience publications speaking engagements and preferences; and professional memberships
    • Education Informationsuch as institutions attended degrees certifications training courses publications and transcript information.
    • Legally protected classification informationsuch as race sex/gender religious/ philosophical beliefs gender identity/expression sexual orientation marital status military service nationality ethnicity request for family care leave political opinions and criminal history.
    • Other informationsuch as any information you voluntarily choose to provide in connection with your job application.
  2. How We Use Personal Information

    We collect use share and store personal information from job applicants for our and our service providers business and operational purposes in the recruitment process such as: processing your application tracking your application through the recruitment process contacting references with your authorization conducting background checks you authorize and making hiring decisions. We will also use job applicant information for internal analysis purposes to understand the applicants who apply and to improve our recruitment process. We may sometimes need to use applicant information for legal purposes such as in connection with any challenges made to our hiring decisions.

  3. With Whom We Share Personal Information

    We will disclose job applicant personal information to the following types of entities or in the following circumstances (where applicable):

    • Internally: to other Legion personnel involved in the recruiting and hiring process.
    • Vendors: such as technology service providers travel management providers human resources suppliers background check companies and employment agencies or recruiters where applicable.
    • Legal Compliance: when required to do so by law regulation or court order or in response to a request for assistance by the police or other law enforcement agency.
    • Litigation Purposes: to seek legal advice from our external lawyers or in connection with litigation with a third party.
    • Business Transaction Purposes: in connection with the sale purchase or merger.
  4. How to Contact Us About this Policy If you have any questions about this Policy please contact .

Required Experience:

Director

About the Job:This position will play a pivotal role in Legions 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 ...
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Key Skills

  • Go
  • Lean
  • Management Experience
  • React
  • Node.js
  • Operations Management
  • Project Management
  • Research & Development
  • Software Development
  • Team Management
  • GraphQL
  • Leadership Experience

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Legion’s industry-leading workforce management platform maximizes labor efficiency and employee engagement simultaneously

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