Job Overview
Job ID: J36993
Specialized Area: Data Science
Job Title: VP of Data Science
Location: East Hanover, NJ
Duration: 11 Months
Employment Type: W-2 (Consultant must be on our company payroll. C2C is not allowed)
Minimum Required Skills:
Python, R, Quantitative Analysis, Statistics, Algorithms, Machine Learning, Analytics, Data Science, Clustering, Data Mining
What You Will Be Doing
A VP or Chief-level leader for our Data Science and Analytics team to further develop our analytics strategies.
-Mentor a team of data scientists and contribute to the bottom line, taking advantage a robust data environment that adds more than 100,000 records each day.
-Complement our process with a deep understanding of both statistical and machine learning technologies.
-Effectively communicate with both quantitative and qualitative arms of the business in order to understand business requirements and design innovative implementations of both statistical & machine learning methods.
-Focus on the bottom line and work efficiently from a business strategy perspective.
-Owning your own projects, while managing multiple projects in parallel by working closely with a team of data scientists.
-Develop strategic partnerships and managing relationships with third party consultants, data vendors, software providers in order to facilitate constant innovation and improvement.

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W-2 Open Positions Need to be Filled Immediately. Consultant must be on our company payroll, Corp-to-Corp (C2C) is not allowed.
Candidates encouraged to apply directly using this portal. We do not accept resumes from other company/ third-party recruiters. Job Overview
Job ID: J36993
Specialized Area: Data Science
Job Title: VP of Data Science
Location: East Hanover, NJ
Duration: 11 Months
Employment Type: W-2 (Consultant must be on our company payroll. C2C is not allowed)
Minimum Required Skills:
Python, R, Quantitative Analysis, Statistics, Algorithms, Machine Learning, Analytics, Data Science, Clustering, Data Mining
If you are a VP of Data Science with experience, please read on!
Top Reasons to Work with Us:
Exciting opportunity for immense career trajectory!
Unlimited PTO.
Highly competitive compensation and benefits package.
What You Will Be Doing:
A VP or Chief-level leader for our Data Science and Analytics team to further develop our analytics strategies.
Mentor a team of data scientists and contribute to the bottom line, taking advantage of a robust data environment that adds more than 100,000 records each day.
Complement our process with a deep understanding of both statistical and machine learning technologies.
Effectively communicate with both quantitative and qualitative arms of the business in order to understand business requirements and design innovative implementations of both statistical & machine learning methods.
Focus on the bottom line and work efficiently from a business strategy perspective.
Owning your own projects, while managing multiple projects in parallel by working closely with a team of data scientists.
Develop strategic partnerships and manage relationships with third party consultants, data vendors, and software providers in order to facilitate constant innovation and improvement.
ROBOTIC PROCESS AUTOMATION LLC is an equal opportunity employer inclusive of female, minority, disability, and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination, and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status, or any other protected status. ROBOTIC PROCESS AUTOMATION LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements, or related matters. Nor will ROBOTIC PROCESS AUTOMATION LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract.

#J-18808-Ljbffr

W-2 Open Positions Need to be Filled Immediately. Consultant must be on our company payroll, Corp-to-Corp (C2C) is not allowed.
Candidates encouraged to apply directly using this portal. We do not accept resumes from other company/ third-party recruiters Job Overview
Job ID: J36993
Specialized Area: Data Science
Job Title: VP of Data Science
Location: East Hanover, NJ
Duration: 11 Months
Domain Exposure: To Be Discussed Later
Employment Type: W-2 (Consultant must be on our company payroll. C2C is not allowed)
Minimum Required Skills:
Python, R, Quantitative Analysis, Statistics, Algorithms, Machine Learning, Analytics, Data Science, Clustering, Data Mining
If you are a VP of Data Science with experience, please read on!
Top Reasons to Work with Us
Exciting opportunity for immense career trajectory!
Unlimited PTO.
Highly competitive compensation and benefits package.
What You Will Be Doing
A VP or Chief-level leader for our Data Science and Analytics team to further develop our analytics strategies.
Mentor a team of data scientists and contribute to the bottom line, taking advantage of a robust data environment that adds more than 100,000 records each day.
Complement our process with a deep understanding of both statistical and machine learning technologies.
Effectively communicate with both quantitative and qualitative arms of the business in order to understand business requirements and design innovative implementations of both statistical & machine learning methods.
Focus on the bottom line and work efficiently from a business strategy perspective.
Own your own projects while managing multiple projects in parallel by working closely with a team of data scientists.
Develop strategic partnerships and manage relationships with third-party consultants, data vendors, and software providers in order to facilitate constant innovation and improvement.
Equal Opportunity Employer
ETHEREUM TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability, and veterans (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination, and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status, or any other protected status. ETHEREUM TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements, or related matters. Nor will ETHEREUM TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract.

#J-18808-Ljbffr

W-2 Open Positions Need to be Filled Immediately. Consultant must be on our company payroll, Corp-to-Corp (C2C) is not allowed.
Candidates encouraged to apply directly using this portal. We do not accept resumes from other company/ third-party recruiters.
Job Overview Job ID: J36993
Specialized Area: Data Science
Job Title: VP of Data Science
Location: East Hanover, NJ
Duration: 11 Months
Employment Type: W-2 (Consultant must be on our company payroll. C2C is not allowed)
Minimum Required Skills: Python, R, Quantitative Analysis, Statistics, Algorithms, Machine Learning, Analytics, Data Science, Clustering, Data Mining
What You Will Be Doing: A VP or Chief-level leader for our Data Science and Analytics team to further develop our analytics strategies.
Mentor a team of data scientists and contribute to the bottom line, taking advantage of a robust data environment that adds more than 100,000 records each day.
Complement our process with a deep understanding of both statistical and machine learning technologies.
Effectively communicate with both quantitative and qualitative arms of the business in order to understand business requirements and design innovative implementations of both statistical & machine learning methods.
Focus on the bottom line and work efficiently from a business strategy perspective.
Own your own projects, while managing multiple projects in parallel by working closely with a team of data scientists.
Develop strategic partnerships and manage relationships with third-party consultants, data vendors, software providers to facilitate constant innovation and improvement.
ROBOTICS TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. ROBOTICS TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will ROBOTICS TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract.

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Job Overview
Job ID: J36993
Specialized Area: Data Science
Job Title: VP of Data Science
Location: East Hanover, NJ
Duration: 11 Months
Domain Exposure:
Work Authorization:
Client: To Be Discussed Later
Employment Type: W-2 (Consultant must be on our company payroll. C2C is not allowed)
Minimum Required Skills:
Python, R, Quantitative Analysis, Statistics, Algorithms, Machine Learning, Analytics, Data Science, Clustering, Data Mining
If you are a VP of Data Science with experience, please read on!
Top Reasons to Work with Us
Exciting opportunity for immense career trajectory!
Unlimited PTO.
Highly competitive compensation and benefits package.
What You Will Be Doing
A VP or Chief-level leader for our Data Science and Analytics team to further develop our analytics strategies.
Mentor a team of data scientists and contribute to the bottom line, taking advantage a robust data environment that adds more than 100,000 records each day.
Complement our process with a deep understanding of both statistical and machine learning technologies.
Effectively communicate with both quantitative and qualitative arms of the business in order to understand business requirements and design innovative implementations of both statistical & machine learning methods.
Focus on the bottom line and work efficiently from a business strategy perspective.
Owning your own projects, while managing multiple projects in parallel by working closely with a team of data scientists.
Develop strategic partnerships and managing relationships with third party consultants, data vendors, software providers in order to facilitate constant innovation and improvement.
Equal Opportunity Employer
CLOUD ANALYTICS TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. CLOUD ANALYTICS TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will CLOUD ANALYTICS TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract
Some of our Business Ventures - Knowledge Analytics
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Job Overview
Job ID: J36993
Specialized Area: Data Science
Job Title: VP of Data Science
Location: East Hanover, NJ
Duration: 11 Months
Domain Exposure: To Be Discussed Later
Employment Type: W-2 (Consultant must be on our company payroll. C2C is not allowed)
Minimum Required Skills:
Python, R, Quantitative Analysis, Statistics, Algorithms, Machine Learning, Analytics, Data Science, Clustering, Data Mining
If you are a VP of Data Science with experience, please read on!
Top Reasons to Work with Us
Exciting opportunity for immense career trajectory!
Unlimited PTO.
Highly competitive compensation and benefits package.
What You Will Be Doing
A VP or Chief-level leader for our Data Science and Analytics team to further develop our analytics strategies.
Mentor a team of data scientists and contribute to the bottom line, taking advantage a robust data environment that adds more than 100,000 records each day.
Complement our process with a deep understanding of both statistical and machine learning technologies.
Effectively communicate with both quantitative and qualitative arms of the business in order to understand business requirements and design innovative implementations of both statistical & machine learning methods.
Focus on the bottom line and work efficiently from a business strategy perspective.
Owning your own projects, while managing multiple projects in parallel by working closely with a team of data scientists.
Develop strategic partnerships and managing relationships with third party consultants, data vendors, software providers in order to facilitate constant innovation and improvement.
AUTOMATION TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability, and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination, and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status, or any other protected status. AUTOMATION TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements, or related matters. Nor will AUTOMATION TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract.

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Who We Are
Apartment List is the premier rental matchmaking marketplace, connecting ready-to-move renters with multifamily properties. Our renters benefit from a personalized machine learning driven search experience that matches them with properties that fit their wishlist. Our supply partners harness our generative AI renter engagement technology and performance-based pricing model to efficiently connect with our qualified renters. Our goal is to be the preferred destination for renters and the unmatched partner for properties because we offer ease, speed and control to rent with confidence through a success-based business model.
Principal Responsibilities And Expectations
We are seeking a forward-thinking and experienced leader to unify our diverse data functions as Apartment List's first VP of Data & Insights. This team encompasses Data Science, Analytics, Data Strategy, and Economics, serving a broad range of company-wide needs. In this pivotal role, you will drive our data strategy and execution, building and scaling the data function to unlock the full potential of our data assets.
As the VP of Data & Insights, you will be instrumental in solving complex marketplace problems by navigating and balancing competing needs across our Renter, Lister, and Marketplace pillars. You will shape Apartment List platform's marketplace dynamics, leveraging data insights to fuel innovation, guide product development, and inform business strategy.
Our ideal candidate is data obsessed; a visionary leader with extensive experience scaling data organizations, a deep understanding of data science and product analytics, and a relentless drive for outcomes. You thrive on balancing high-level strategy with hands-on execution, inspiring and mentoring your team to create a world-class data organization. This role reports directly to the Chief Product & Technology Officer.
If you're excited by the opportunity to foster a culture of innovation, experimentation, and accountability, and to lead data as a cornerstone of Apartment List's success, we’d love to hear from you!
Responsibilities Include
Driving Business Impact: Bring data to the forefront of addressing the company’s most challenging problems, from planning data science infrastructure to defining company-level KPIs and goals.
Strategic Leadership: Develop and execute Apartment List’s comprehensive data strategy, aligning with business objectives and driving data-driven decision-making across the organization.
Unified Vision: Shape the strategic direction and vision for a cohesive data and analytics organization, integrating Data Science, Analytics, Analytics Engineering, and Economics into a unified team.
Team Growth & Development: Lead, scale, and mentor a high-performing team of 15+ data professionals. Foster talent development, inspire future leaders, and build a world-class data organization.
Hands-on Execution: Lead by example with an action-oriented mindset that drives results. Dive into key projects, work alongside the team, and be comfortable in both strategic and tactical environments.
Executive Influence: Partner with EPD Leadership and C-suite leaders to translate complex data insights into actionable strategies. Facilitate critical conversations that drive impactful decisions across cross-functional teams.
Cross-Functional Collaboration: Collaborate closely with Product, Engineering, Marketing, Operations, Strategy, Finance and Sales to embed data into every aspect of the business, cultivating an insights-driven culture.
Data Infrastructure & Scalability: Ensure the data architecture and analytics infrastructure are optimized for scalability, overseeing data governance, quality, and accessibility.
Insight Delivery: Leverage data to inform product development, user experience, marketing strategies, forecasting and business operations, ensuring data-driven insights reach all corners of the organization.
Innovation & Experimentation: Stay at the forefront of industry trends, incorporating cutting-edge technologies and methodologies into data practices. Harness AI and machine learning to unlock new capabilities.
Key Qualifications & Competencies
Experience: 15+ years of data leadership experience, with at least 5 years in a senior role leading data teams at scale. You have successfully led a data organization in a larger company and are excited to apply that experience in a startup environment.
Hands-on Expertise: Deep understanding of data science, product analytics, and/or data engineering. Proven technical proficiency in tools like SQL, Python, R, BigQuery, GCP, and modern data platforms.
Track Record: Demonstrated ability to build and scale teams in fast-paced environments. You’ve led teams through transformation and fostered a high-performance, results-driven culture.
Leadership & People Development: Strong people leader with a passion for mentoring and growing world-class teams. You’ve built a culture of collaboration, innovation, and accountability.
Strategic & Tactical: You can seamlessly switch between high-level strategy and tactical execution, comfortable with ambiguity and thriving in a dynamic environment.
Collaborative: Proven ability to work cross-functionally with other departments such as Product, Engineering, and Marketing to drive business outcomes through data insights.
Here's The Pay Range
At Apartment List, we carefully consider a variety of factors to determine compensation for each position, including the role, level, and work. The US base salary range for this position is:
$292,000 - $378,000 TTC (including $239,000 - $310,000 base salary) + equity.
This reflects the compensation target for new hire salaries for the position across all US locations. Please note, the compensation details provided do not include benefits and perks that we offer.
We also rely on market indicators along with considering your work location, job related skills, experience and relevant education and training, to determine compensation that is fair and competitive for you. Apartment List will consider paying compensation near the higher of the range in exceptional circumstances, where candidates have the experience, credentials or expertise that would warrant such consideration. It is always our goal to hire exceptional talent and we would be happy to share more about compensation during the hiring process.
Here's what's in it for you (full-time US based employees only; does not apply to contract roles):
Competitive Compensation: Including annual salary, pre-IPO stock options, and other financial compensation (if applicable).
Medical, Dental, and Vision Coverage: 100% of premiums covered for you AND all of your dependents.
Unlimited Flexible Time Off: Unlimited FTO in addition to 12 company holidays per year, quarterly “recharge” days, and a week-long holiday break.
Home Office Reimbursement: To cover home office furniture and supplies, monthly home internet, and monthly cell phone (if applicable).
Health & Wellness Reimbursement: To cover monthly gym membership or other qualifying expenses.
Parental Support: Generous parental and family leave, fertility benefits, and employer-sponsored stipends towards family forming services.
401k Plan: To support you in your individual retirement goals.
Team Events: Frequent team-building events, fun team off-sites, and bi-annual company meetups.
Commitment to DEI: To prioritize Diversity, Equity, and Inclusion within our workplace and to stay true to our values and mission.
Mentorship and Training: To get you onboard quickly, learn new professional skills, and invest in your career development.
Impact and Visibility: To expose you to and provide the opportunity to work on highly strategic initiatives that will transform the business.
Encouragement and Empowerment: To explore and adopt new technologies and drive meaningful decisions and outcomes.
At Apartment List we believe that everyone deserves a home they love AND a career they love. We strive to build a diverse team that is a reflection of the people we serve; this is made possible through our commitment to fostering a culture of diversity, inclusion, equity, and connectedness.
As a proud equal opportunity employer, we celebrate the collection of individual differences, life experiences, ideas, perspectives, knowledge, and talent. We hire candidates of any race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, Veteran status, and any other status.

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The VP of Enterprise Data, Analytics & Platform Ops will be a crucial part of the Senior Leadership team, reporting to the CIO. This role will be accountable to develop, own and execute a comprehensive omnichannel enterprise data, analytics and reporting strategy that aligns with business objectives. This role will also have accountability for the development and implementation of a data platform and cloud based data warehouse, advanced analytics capabilities, turning data into meaningful insights, AI and machine learning models. The successful candidate will be responsible for establishing a robust data governance framework, complying with data privacy policies, managing martech tools, data engineering and collaborating with cross-functional teams to ensure the seamless integration of data platforms and insights. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal. com. To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/ . The ideal candidate for this position will have a Bachelor's or Master's degree in Computer Science, Data Science, Management Information Systems, or a related field, and at least 15 years of experience in a data and/or platform operations leadership role Deep Retail / Omnichannel/ Customer industry analytics experience Experience driving omnichannel analytics, data science and insights to help drive business strategies. Proven track record of leading and managing data and platform operations teams and be able to demonstrate success in driving operational excellence Highly organized individual who is passionate about data and insights, curious, has a keen eye for detail, is a creative problem-solver and a champion of data in cross functional organizations Stay up to date with industry trends and best practices for Analytics, modeling including modern data warehousing strategies Ability to develop strategies for data & analytics and drive execution with a high performing team. Be a strategic thinker, with a strong focus on innovation, and possess the skills to foster a culture of continuous improvement and collaboration

Who We Are
Apartment List is the premier rental matchmaking marketplace, connecting ready-to-move renters with multifamily properties. Our renters benefit from a personalized machine learning driven search experience that matches them with properties that fit their wishlist. Our supply partners harness our generative AI renter engagement technology and performance-based pricing model to efficiently connect with our qualified renters. Our goal is to be the preferred destination for renters and the unmatched partner for properties because we offer ease, speed and control to rent with confidence through a success-based business model.
Principal Responsibilities And Expectations
We are seeking a forward-thinking and experienced leader to unify our diverse data functions as Apartment List's first VP of Data & Insights. This team encompasses Data Science, Analytics, Data Strategy, and Economics, serving a broad range of company-wide needs. In this pivotal role, you will drive our data strategy and execution, building and scaling the data function to unlock the full potential of our data assets.
As the VP of Data & Insights, you will be instrumental in solving complex marketplace problems by navigating and balancing competing needs across our Renter, Lister, and Marketplace pillars. You will shape Apartment List platform's marketplace dynamics, leveraging data insights to fuel innovation, guide product development, and inform business strategy.
Our ideal candidate is data obsessed; a visionary leader with extensive experience scaling data organizations, a deep understanding of data science and product analytics, and a relentless drive for outcomes. You thrive on balancing high-level strategy with hands-on execution, inspiring and mentoring your team to create a world-class data organization. This role reports directly to the Chief Product & Technology Officer.
If you're excited by the opportunity to foster a culture of innovation, experimentation, and accountability, and to lead data as a cornerstone of Apartment List's success, we’d love to hear from you!
Responsibilities Include
Driving Business Impact: Bring data to the forefront of addressing the company’s most challenging problems, from planning data science infrastructure to defining company-level KPIs and goals.
Strategic Leadership: Develop and execute Apartment List’s comprehensive data strategy, aligning with business objectives and driving data-driven decision-making across the organization.
Unified Vision: Shape the strategic direction and vision for a cohesive data and analytics organization, integrating Data Science, Analytics, Analytics Engineering, and Economics into a unified team.
Team Growth & Development: Lead, scale, and mentor a high-performing team of 15+ data professionals. Foster talent development, inspire future leaders, and build a world-class data organization.
Hands-on Execution: Lead by example with an action-oriented mindset that drives results. Dive into key projects, work alongside the team, and be comfortable in both strategic and tactical environments.
Executive Influence: Partner with EPD Leadership and C-suite leaders to translate complex data insights into actionable strategies. Facilitate critical conversations that drive impactful decisions across cross-functional teams.
Cross-Functional Collaboration: Collaborate closely with Product, Engineering, Marketing, Operations, Strategy, Finance and Sales to embed data into every aspect of the business, cultivating an insights-driven culture.
Data Infrastructure & Scalability: Ensure the data architecture and analytics infrastructure are optimized for scalability, overseeing data governance, quality, and accessibility.
Insight Delivery: Leverage data to inform product development, user experience, marketing strategies, forecasting and business operations, ensuring data-driven insights reach all corners of the organization.
Innovation & Experimentation: Stay at the forefront of industry trends, incorporating cutting-edge technologies and methodologies into data practices. Harness AI and machine learning to unlock new capabilities.
Key Qualifications & Competencies
Experience: 15+ years of data leadership experience, with at least 5 years in a senior role leading data teams at scale. You have successfully led a data organization in a larger company and are excited to apply that experience in a startup environment.
Hands-on Expertise: Deep understanding of data science, product analytics, and/or data engineering. Proven technical proficiency in tools like SQL, Python, R, BigQuery, GCP, and modern data platforms.
Track Record: Demonstrated ability to build and scale teams in fast-paced environments. You’ve led teams through transformation and fostered a high-performance, results-driven culture.
Leadership & People Development: Strong people leader with a passion for mentoring and growing world-class teams. You’ve built a culture of collaboration, innovation, and accountability.
Strategic & Tactical: You can seamlessly switch between high-level strategy and tactical execution, comfortable with ambiguity and thriving in a dynamic environment.
Collaborative: Proven ability to work cross-functionally with other departments such as Product, Engineering, and Marketing to drive business outcomes through data insights.
Here's The Pay Range
At Apartment List, we carefully consider a variety of factors to determine compensation for each position, including the role, level, and work. The US base salary range for this position is:
$292,000 - $378,000 TTC (including $239,000 - $310,000 base salary) + equity.
This reflects the compensation target for new hire salaries for the position across all US locations. Please note, the compensation details provided do not include benefits and perks that we offer.
We also rely on market indicators along with considering your work location, job related skills, experience and relevant education and training, to determine compensation that is fair and competitive for you. Apartment List will consider paying compensation near the higher of the range in exceptional circumstances, where candidates have the experience, credentials or expertise that would warrant such consideration. It is always our goal to hire exceptional talent and we would be happy to share more about compensation during the hiring process.
Here's what's in it for you (full-time US based employees only; does not apply to contract roles):
Competitive Compensation: Including annual salary, pre-IPO stock options, and other financial compensation (if applicable).
Medical, Dental, and Vision Coverage: 100% of premiums covered for you AND all of your dependents.
Unlimited Flexible Time Off: Unlimited FTO in addition to 12 company holidays per year, quarterly “recharge” days, and a week-long holiday break.
Home Office Reimbursement: To cover home office furniture and supplies, monthly home internet, and monthly cell phone (if applicable).
Health & Wellness Reimbursement: To cover monthly gym membership or other qualifying expenses.
Parental Support: Generous parental and family leave, fertility benefits, and employer-sponsored stipends towards family forming services.
401k Plan: To support you in your individual retirement goals.
Team Events: Frequent team-building events, fun team off-sites, and bi-annual company meetups.
Commitment to DEI: To prioritize Diversity, Equity, and Inclusion within our workplace and to stay true to our values and mission.
Mentorship and Training: To get you onboard quickly, learn new professional skills, and invest in your career development.
Impact and Visibility: To expose you to and provide the opportunity to work on highly strategic initiatives that will transform the business.
Encouragement and Empowerment: To explore and adopt new technologies and drive meaningful decisions and outcomes.
At Apartment List we believe that everyone deserves a home they love AND a career they love. We strive to build a diverse team that is a reflection of the people we serve; this is made possible through our commitment to fostering a culture of diversity, inclusion, equity, and connectedness.
As a proud equal opportunity employer, we celebrate the collection of individual differences, life experiences, ideas, perspectives, knowledge, and talent. We hire candidates of any race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, Veteran status, and any other status.

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