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Vice Chancellor for Academic and Student Affairs
✦ New
Salary not disclosed
Las Vegas, NV 1 day ago
Vice Chancellor for Academic and Student Affairs

Thank you for your interest in employment with Nevada System of Higher Education (NSHE), System Administration and System Computing Services. We want your application process to go smoothly and quickly. We ask that you keep in mind the following when completing your application:
Draft applications are saved automatically and can be accessed through your candidate home account.
Final applications must be submitted prior to the close of the recruitment. Once a recruitment has closed, applications will no longer be accepted.

If you need assistance or have questions regarding the application process, please contact our Human Resources department at (775) 784-4901.

Job Description

The Nevada System of Higher Education (NSHE) invites applications and nominations for the position of Vice Chancellor for Academic and Student Affairs. This is a renewable, full-time, non-tenured, administrative position and reports to the Chancellor. The position may be primarily located in either Reno or Las Vegas, Nevada.

The NSHE is comprised of eight institutions: two universities, a state college, four community colleges and a research institute. The public system of higher education in Nevada continues to experience growth with significant challenges and opportunities in serving over 105,000 students and 15,000 employees.

The Vice Chancellor for Academic and Student Affairs serves as the chief academic and student affairs executive for NSHE, responsible for setting strategic direction, driving systemwide policy, and ensuring accountable implementation of initiatives that advance academic quality, student success, and research competitiveness.

As a key member of the Chancellor's Cabinet, the Vice Chancellor exercises enterprise-level leadership and decision-making authority, advising the Chancellor and Board of Regents on high-impact academic, student, and research policy issues. The role is accountable not only for policy development, but for translating strategy into execution across all NSHE institutions, ensuring consistency, compliance, and measurable outcomes.

This position leads the design and implementation of systemwide initiatives spanning academic programs, transfer and articulation, student services, financial aid, and research administration. The Vice Chancellor actively identifies emerging risks and opportunities, develops actionable solutions, and drives coordinated responses across multiple institutions and stakeholders.

The Vice Chancellor also ensures NSHE remains responsive to national trends and evolving higher education demands by integrating data-driven insights into strategic planning and policy decisions.

With direct oversight of Student Affairs, Sponsored Programs and EPSCoR, and Institutional Research, the Vice Chancellor holds full accountability for performance, outcomes, and alignment within these areas-ensuring effective operations, cross-functional integration, and continuous system improvement.

SALARY GRADE: *This position offers a competitive compensation package commensurate with the candidate's education, experience, and certification/training. In addition to base salary, employees enjoy a comprehensive benefits package that includes:
Comprehensive Health Insurance: includes health, dental, vision, and life insurance. Additionally, an employer paid long term disability plan is included.
Outstanding Retirement Plan: professional employees are required to participate in the 401(a) Retirement Plan Alternative (RPA). Employee contributions of 19.25% are matched 100% by the employer and employees experience an immediate vesting in the plan. Employees who currently or previously participated in Public Employees Retirement System (PERS) of Nevada may be eligible to continue in the PERS plan.
Paid Leave: generous annual leave (accrual of 2 days per month), sick leave (granted 30 days at time of hire), 12 paid holidays, and paid family leave.
Education Benefit: employees and their qualified dependents may take advantage of a tuition savings benefit. Faculty may take up to six credits per semester at a reduced rate and their dependents may access an unlimited number of credits, if they meet specific criteria.
Additional Perks: Employee assistance programs and professional development opportunities.

*Pursuant NSHE Policy: "Initial placement must fall between the minimum salary and Q2/median/mid-range on the applicable salary schedule." To view the salary range for this position, please visit: Salary Schedules and select NSHE Executive, Grade 2.

APPROXIMATE STARTING DATE: May 1, 2026

MINIMUM QUALIFICATIONS: Requires a Master's or Professional Degree and 7 years of comparable managerial experience or a Doctorate and 5 years of comparable managerial experience.

KNOWLEDGE, SKILLS, AND ABILITIES: Successful candidates must possess the following knowledge, skills and abilities. It is recommended that applicants for this position address each of the following items in the letter of application:
Knowledge of higher education policy, governance, and administration, including the operations of both community colleges and four-year institutions.
Knowledge of academic program development, review, and approval processes within a multi-institution higher education system.
Knowledge of student affairs policies and practices, including financial aid, residency determinations, and student success initiatives.
Knowledge of research administration, sponsored programs, and federal and state research funding structures, including programs such as EPSCoR.
Knowledge of institutional research, higher education data systems, and the use of data analytics to support policy development, accountability, and strategic planning.
Knowledge of the role and responsibilities of a policy-making governing board and the staff functions required to support an elected governing board.
Knowledge of the Nevada System of Higher Education (NSHE), including the structure, authority, and policies of the Board of Regents.
Knowledge of Nevada state government, including the legislative process and state laws and regulations pertaining to higher education.
Knowledge and experience in drafting policies, procedures, and guidelines within a complex organizational or governmental environment.
Knowledge of statewide and national trends affecting higher education, including workforce development, access and attainment, and research competitiveness.
Skill in providing executive leadership and strategic direction within a complex, multi-institution organization.
Skill in supervising professional staff and directing multiple functional areas to ensure alignment with organizational priorities and accountability for outcomes.
Skill in policy analysis and development, including evaluating complex issues and formulating effective systemwide policy recommendations.
Skill in analyzing complex data, research findings, and policy information to inform strategic decision-making.
Skill in synthesizing and communicating complex information, research findings, and policy implications to diverse audiences, including governing boards, policymakers, and the public.
Skill in building consensus among diverse stakeholders with differing institutional perspectives and priorities.
Skill in setting priorities and managing multiple high-level initiatives simultaneously while meeting critical deadlines.
Skill in preparing and delivering presentations and policy briefings to executive leadership, legislative committees, and governing boards.
Skill in fostering collaboration among institutions, state agencies, and external partners.
Skill in identifying emerging policy, operational, or strategic issues and developing effective solutions to address complex challenges in a multi-institution higher education environment.
Ability to exercise sound independent judgment and discretion in addressing complex policy and administrative issues.
Ability to provide leadership and strategic oversight for multiple programs and functional areas.
Ability to communicate effectively in both written and oral forms with executive leadership, policymakers, institutional leaders, and the public.
Ability to present complex policy and technical information clearly and effectively in public settings.
Ability to analyze large volumes of complex information and identify key issues, trends, and implications for decision-making.
Ability to translate complex research, policy, and data analysis into actionable recommendations.
Ability to build and maintain collaborative working relationships with institutional leaders, faculty, staff, state officials, and external stakeholders.
Ability to facilitate discussion and build consensus among diverse constituencies across the higher education system.
Ability to manage competing priorities and operate effectively in high-visibility and high-stakes environments.
Ability to ensure accuracy, integrity, and appropriate use of institutional data and information used for policy and decision-making.
Ability to anticipate emerging issues, analyze potential impacts, and develop proactive strategies to resolve problems and advance systemwide priorities.

RESPONSIBILITIES: The duties of this position will include, but not be limited to:
Provide executive and strategic leadership, supervision, and administrative oversight of key functional areas within the NSHE System Office, including Student Affairs, Sponsored Programs and EPSCoR, and Institutional Research. This responsibility includes setting and advancing systemwide strategic priorities; supervising and mentoring department leadership and staff; ensuring operational effectiveness, accountability, and compliance with Board policies; and proactively identifying and addressing systemwide challenges, risks, gaps, and opportunities. Coordinate and lead cross-functional and cross-institutional initiatives, exercising sound judgment and decision-making authority to align efforts with system goals and priorities. Foster a culture of collaboration, innovation, and continuous improvement across NSHE institutions, while effectively communicating, influencing, and advising executive leadership and stakeholders. Promote and model data-informed and evidence-based decision-making to advance student success, research growth, and institutional effectiveness, and lead the development and implementation of strategic solutions to complex systemwide issues.
Serve as a strategic advisor and executive liaison to the Academic, Research and Student Affairs (ARSA) Committee and other Board of Regents committees. Lead the development of meeting agendas in collaboration with the committee chair, ensuring alignment with system priorities and emerging issues. Coordinate institutional presentations and compile high-quality, analytically grounded briefing materials that clearly communicate key issues, risks, and opportunities. Proactively anticipate Board needs, respond to Regent inquiries with clarity and authority, and provide thoughtful recommendations to inform decision-making and policy direction at the system level.
Chair the Academic Affairs Council (AAC), providing strategic leadership and direction for systemwide academic planning and policy development. Oversee the academic program and organizational unit approval process, ensuring alignment with long-term system goals, workforce needs, and institutional missions. Lead and facilitate collaborative, solution-oriented discussions among institutional representatives to identify challenges, gaps, and opportunities, and to build consensus on complex issues such as funding models, academic innovation, and program alignment. Provide policy analysis, strategic insight, and actionable recommendations, and guide the implementation of agreed-upon changes to strengthen academic quality and effectiveness across the system.
Chair the Student Affairs Council, providing executive leadership and strategic direction for systemwide student affairs policies and initiatives. Lead the development, evaluation, and refinement of policies related to student services, including residency determinations and financial aid coordination. Identify systemic barriers and opportunities impacting student access, success, and equity, and work collaboratively with institutional leaders to develop and implement innovative, student-centered solutions. Ensure clear communication, stakeholder engagement, and alignment of policies with broader system goals and priorities.
Chair the Research Affairs Council, leading strategic planning and policy development to advance research across NSHE. Establish and communicate systemwide research priorities, goals, and performance expectations, and identify opportunities to enhance research productivity, collaboration, and external funding. Facilitate cross-institutional partnerships, address barriers to research growth, and provide data-informed recommendations to strengthen competitiveness. Guide the implementation of initiatives, including those associated with EPSCoR, ensuring alignment with state and national research priorities.
Provide executive oversight and strategic leadership for the NSHE Sponsored Programs and EPSCoR Office. Direct systemwide efforts to enhance research development, grant competitiveness, and external partnership engagement with state and federal agencies. Identify gaps and opportunities in research infrastructure and support services, and lead collaborative strategies to strengthen capacity and outcomes. Ensure alignment of sponsored program activities with system priorities and effectively advocate for resources and initiatives that advance NSHE's research mission.
Ensure executive-level oversight and quality assurance of data reporting and analytics across the Academic and Student Affairs division. Lead efforts to leverage data as a strategic asset, ensuring accuracy, consistency, and clarity in dashboards, reports, and analyses. Translate complex data into actionable insights and recommendations that inform executive leadership, institutional strategy, and Board decision-making. Proactively identify trends, gaps, and emerging issues, and guide the development of data-informed strategies to improve system performance, accountability, and outcomes.
Provide strategic leadership and systemwide coordination related to the State's higher education attainment goals. Support and influence policy development aligned with statewide objectives, and monitor, assess, and communicate progress toward established targets. Identify disparities, gaps, and opportunities for improvement, and lead the development and implementation of collaborative, system-level strategies to increase educational attainment. Engage stakeholders across institutions and external partners to align efforts and drive measurable impact.
Provide executive oversight and strategic guidance for NSHE's participation in SARA and membership in NC-SARA. Ensure compliance with applicable standards while identifying opportunities to enhance interstate educational access and program delivery. Serve as a key decision-maker and advisor on matters related to state authorization, distance education, and regulatory alignment. Communicate effectively with institutional leaders and external stakeholders and lead continuous improvement efforts to strengthen NSHE's position in the national higher education landscape.

TO APPLY: The application process will be handled through the Workday on-line search process. Application materials must include a current resume, detailed cover letter, and names, addresses and telephone numbers of four professional references willing to be contacted. Applicants should fully describe qualifications and experience, since the initial review will serve to evaluate applicants based on documented, relevant qualifications and professional work experience. Applications will be considered incomplete without all requested materials. References will only be contacted for those who advance to the final phase of the search and with prior consent of the applicant. The review of materials will begin immediately. Materials should be addressed to Sherry Olson, Human Resources, and are to be submitted via on-line application at . For assistance with NSHE's on-line applicant portal, contact Sherry Olson at (775) 784-4901.

INTERNAL APPLICANTS: Current employees within the Nevada System of Higher Education MUST use the "Find Jobs" process within Workday to find and apply for jobs at NSHE institutions. Once you log into Workday and type "Find Jobs" in the search box which will navigate to the internal job posting site. Locate the specific job posting by typing the requisition number (e.g. R0000000) in the search box

APPLICATION DEADLINE: Applications may be submitted until the position is filled. The review of materials will begin immediately, however, for full consideration applications should be submitted by April 1, 2026.

For more information about the Nevada System of Higher Education, please visit our website at The Nevada System of Higher Education hires only United States citizens and aliens lawfully authorized to work in the U.S.

NSHE is an equal opportunity and affirmative action employer committed to achieving excellence through diversity. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, creed, national origin, veteran status, physical or mental disability, sexual orientation, family medical history or genetic information, gender identity, gender expression, or any other factor protected by anti-discrimination laws. Women, applicants who are members of underrepresented groups and communities of color, individuals with disabilities, and veterans are encouraged to apply.

Exempt
Yes

Full-Time Equivalent
100.0%

Required Attachment(s)

Required Attachment(s): Application materials must include a current resume, detailed cover letter, and names, addresses, and telephone numbers of four professional references willing to be contacted.

Posting Close Date

Note to Applicant

A background check will be conducted on the candidate(s) selected for hire.

References will be contacted at the appropriate phase of the recruitment process.

As part of the hiring process, applicants for positions in the Nevada System of Higher Education may be required to demonstrate the ability to perform job-related tasks.

All document(s) must be received on or before the closing date of the job announcements. Schedules are subject to change based on organizational needs.

HR will attempt to verify academic credentials upon receipt of hiring documents.

To apply, visit ©2025 Inc. All rights reserved.

Posted by the FREE value-added recruitment advertising agency

jeid-086f987cb6ae5e4ca581a85103ab25bd JobiqoTJN. Keywords: Assistant Chancellor, Location: Las Vegas, NV - 89102
Not Specified
Sr. Machine Learning Engineer, Core Engineering
Salary not disclosed
Seattle, WA 4 days ago

About Pinterest:


Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.


Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.


At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.


Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.



What you'll do:



  • Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
  • Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
  • Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
  • Work in a high-impact environment with quick experimentation and product launches
  • Keeping up with industry trends in recommendation systems


What we're looking for:



  • 4+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
  • End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
  • Degree in computer science, machine learning, statistics, or related field
  • Nice to have:

    • Publications at top ML conferences
    • Expertise in scalable realtime systems that process stream data
    • Passion for applied ML and the Pinterest product
    • MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences, related field, or equivalent experience.




Relocation Statement:



  • This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.


#LI-SA1


#LI-REMOTE

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.


Information regarding the culture at Pinterest and benefits available for this position can be found here.

US based applicants only$189,721—$332,012 USD

Our Commitment to Inclusion:


Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.

Not Specified
Machine Learning Engineer, Core Engineering
🏢 Pinterest
Salary not disclosed
San Francisco, CA 4 days ago

About Pinterest:


Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.


Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.


At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.


Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.



What you'll do:



  • Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
  • Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
  • Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
  • Work in a high-impact environment with quick experimentation and product launches
  • Keeping up with industry trends in recommendation systems


What we're looking for:



  • 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
  • End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
  • Degree in computer science, machine learning, statistics, or related field
  • Nice to have:

    • M.S. or PhD in Machine Learning or related areas
    • Publications at top ML conferences
    • Expertise in scalable realtime systems that process stream data
    • Passion for applied ML and the Pinterest product




Relocation Statement:



  • This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.


#LI-SA1


#LI-REMOTE

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.


Information regarding the culture at Pinterest and benefits available for this position can be found here.

US based applicants only$138,905—$285,982 USD

Our Commitment to Inclusion:


Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.

Not Specified
Sr. Machine Learning Engineer, Monetization Engineering
🏢 Pinterest
Salary not disclosed
Palo Alto, CA 3 days ago

About Pinterest:


Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.


Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.


At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.


Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 4,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.


Within the Monetization ML Engineering team, we try to connect the dots between the aspirations of Pinners and the products offered by our partners. In this role, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack within Ads.



What you'll do:



  • Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
  • Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
  • Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
  • Work in a high-impact environment with quick experimentation and product launches
  • Keep up with industry trends in recommendation systems
  • Leverage LLMs to enhance content understanding


What we're looking for:



  • 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
  • Degree in computer science, statistics, or related field; or equivalent experience
  • End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
  • Practical knowledge of large scale recommender systems, or modern ads ranking, retrieval, targeting, marketplace systems
  • Nice to have:

    • M.S. or PhD in Machine Learning or related areas
    • Publications at top ML conferences
    • Expertise in scalable realtime systems that process stream data
    • Passion for applied ML and the Pinterest product
    • Background in computational advertising




Relocation Statement:



  • This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.


#LI-HYBRID


At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.


Information regarding the culture at Pinterest and benefits available for this position can be found here.

US based applicants only$189,721—$332,012 USD

Our Commitment to Inclusion:


Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.

Not Specified
Machine Learning Engineer, Monetization Engineering
🏢 Pinterest
Salary not disclosed
Palo Alto, CA 3 days ago

About Pinterest:


Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.


Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.


At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.


Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

With more than 600 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 4,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.


Within the Monetization ML Engineering team, we try to connect the dots between the aspirations of Pinners and the products offered by our partners. In this role, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack within Ads.


What you'll do:



  • Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
  • Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
  • Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
  • Work in a high-impact environment with quick experimentation and product launches
  • Keep up with industry trends in recommendation systems
  • Leverage LLMs to enhance content understanding


What we're looking for:



  • 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
  • Degree in computer science, machine learning, statistics, or related field
  • End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
  • Practical knowledge of large scale recommender systems, or modern ads ranking, retrieval, targeting, marketplace systems
  • Nice to have:


    • Publications at top ML conferences
    • Expertise in scalable realtime systems that process stream data
    • Passion for applied ML and the Pinterest product
    • Background in computational advertising




Relocation Statement:



  • This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.


#LI-HYBRID


#LI-SM4

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.


Information regarding the culture at Pinterest and benefits available for this position can be found here.

US based applicants only$163,418—$285,982 USD

Our Commitment to Inclusion:


Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.

Not Specified
Meta Strategist
🏢 GLD
Salary not disclosed
Miami, FL 3 days ago

About the Role

The Meta Strategist will own the end-to-end strategy, execution, and optimization of GLD’s paid social advertising across Meta platforms (Facebook & Instagram). While you’ll own Meta as your primary channel, you’ll work collaboratively with other Performance Marketing team members on cross channel strategy, reporting, and planning contributing to a larger growth strategy rather than operating in a silo.

You will partner closely with Creative, Retention, E-commerce, and Analytics teams to develop thumb-stopping ad campaigns across TOF (top-of-funnel) and BOF (bottom-of-funnel) objectives, optimize audience strategies within Meta’s Andromeda ML framework, and build reporting systems that keep leadership informed and the team accountable. Success in this role is measured not only by performance metrics, but also by creative partnership, strategic thinking, and your ability to elevate the broader team.


Key Responsibilities:


1. Meta Campaign Management & Andromeda Optimization

  • Develop, launch, and manage full funnel Meta ad campaigns across TOF prospecting, BOF retargeting, and retention objectives.
  • Own daily optimizations at both granular (ad, ad set) and high-level (campaign, account) viewpoints to maximize performance.
  • Leverage deep understanding of Meta’s Andromeda ranking system to optimize ad delivery, auction competitiveness, and signal quality.
  • Structure campaigns and ad sets to work with Andromeda’s ML-driven optimization, including strategic use of Advantage+ campaigns, broad targeting, and signal enrichment.
  • Continuously test and refine bidding strategies, audience segmentation, and conversion events to maximize ROAS and reduce CPA.
  • Stay current on Meta platform changes, algorithm updates, and beta features; proactively adapt strategies accordingly.


2. Creative Strategy & Content Analysis

  • Collaborate with the Creative team and recommend new concepts, formats, and messaging angles based on performance insights.
  • Build and write creative briefs independently, translating performance data and strategic priorities into clear direction for designers and content creators.
  • Analyze creative performance data to identify winning concepts, hooks, formats, and messaging themes across TOF and BOF.
  • Build and maintain a creative testing framework with clear hypotheses, naming conventions, and documentation.
  • Monitor creative fatigue and proactively plan refresh cycles to sustain performance.


3. Data Analytics & DOMO Reporting

  • Build and maintain DOMO dashboards to track Meta performance across KPIs including ROAS, CPA, CTR, hook rate, hold rate, and thumbstop ratio.
  • Conduct deep-dive analyses on campaign, ad set, ad, and creative-level performance to surface insights and inform budget allocation.
  • Create automated reporting workflows within DOMO that integrate Meta Ads data with Shopify revenue and attribution data.
  • Present weekly and monthly performance reports to leadership with clear narratives, trend analysis, and recommended actions.
  • QA data pipelines and ensure accuracy of metrics across platforms and reporting tools.


4. Cross Functional Partnerships

  • Act as the primary liaison between Performance Marketing and Creative, Retention, E-commerce, and Ops teams.
  • Coordinate with Retention/CRM on audience list management, suppression strategies, and lifecycle alignment.
  • Collaborate with E-commerce to align ad messaging with site promotions, product launches, and seasonal campaigns.
  • Share learnings and best practices across paid media channels (TikTok, Google, Snapchat) to maintain a unified growth strategy.


Qualifications

  • 3–5+ years of hands-on experience managing Meta Ads at scale ($500K+/month in spend).
  • Strong working knowledge of Meta’s Andromeda ad ranking system and how it impacts delivery, auction dynamics, and performance optimization.
  • Demonstrated ability to analyze and optimize ad creative performance across TOF and BOF, with a portfolio of data-driven creative decisions.
  • Proven ability to write and build creative briefs independently, translating data into actionable creative direction.
  • Proficiency in DOMO for building dashboards, creating data flows, and generating automated reports.
  • Advanced analytical skills with comfort working across large data sets to extract meaningful insights.
  • Experience with Shopify and ecommerce attribution models.
  • Strong understanding of full funnel paid media strategy in a DTC environment.
  • Experience with tools like Triple Whale, Northbeam, or similar attribution platforms preferred.
  • Knowledge of complementary paid channels (TikTok Ads, Google Ads, Snapchat Ads) a plus.
  • Comfortable in a fast paced, high growth DTC environment where priorities shift quickly.
  • Willingness and ability to travel to Miami HQ on a quarterly or monthly basis as needed.


Traits That Lead to Success

  • Highly analytical, structured thinker who turns data into action
  • Strong follow through and accountability; owns outcomes, not just tasks
  • Clear communicator who drives alignment across teams
  • Bias for action; solves problems before they become blockers
  • Comfortable owning budgets and pushing teams for deliverables
  • Creative eye with the ability to spot winning content before the data confirms it
  • Collaborative mindset sees yourself as part of a team, not just a channel owner
  • Energized by scaling profitable growth and outpacing the competition
  • Love of fashion and style, and strong understanding of the GLD customer


Why GLD

GLD is one of the fastest growing jewelry brands in the world, defining culture at the intersection of sports, fashion, and entertainment. As an official NFL partner and a brand worn by some of the biggest names in music and athletics, we’re building something special.

This role is perfect for someone ready to own a major growth channel and help scale our customer acquisition engine. We are a high performing team, and the business is growing rapidly so the opportunity to grow is available for the right dedicated team member.

Not Specified
Teradata ETL Developer
✦ New
Salary not disclosed
Seattle, WA 11 hours ago

Must Have Technical/Functional Skills

• 4-8 years hand on Experience on writing Teradata.

• Experience in Teradata Utilities (BTEQ,Fast Load, Multi Load)

• Extensive experience in developing complex SQL code using Teradata stored procedures, macros etc.

• Should be good in Unix Shell scripting

• Should be able to create Design documents , mapping documents

• Design and document development standards

• Should have knowledge on ETL and Data warehouse Concepts

• Should have knowledge of SQL Server and Autosys.


Roles & Responsibilities

• Collaborate with stakeholders to understand the current process

• Collaborate with business to convert the business requirement into Technical requirements.

• Develop Teradata code meeting 100 percent of technical specifications and business requirements according to the established design patterns

• Analyze, design, code, and test highly complex ETL processes, for data warehouses and/or operational data stores

• Understand design for ETL application including data sources, data targets, data definitions, data relationships, and business rules

• Work closely with technical leads, analysts, data modelers and other developers to understand project requirements and contribute to the project solution

• Provide post go-live & application maintenance support

• Provide technical expertise on Database design, Data modeling, Data Warehousing, and Data integration

• Create solutions for large and complex data driven applications

• Reconciliation and test cases of developed solutions

• Design, develop and support application solutions leveraging Teradata and Teradata Tools and Utilities

• Prepare Test cases for Unit Testing/SIT/Regression

• Should be able to take ownership and deliver independently Report out to stakeholders highlighting achievements, risks, and future work.

• Follow the Agile standard for the development of the requested proposal.

• Bring best practices, standards, and innovative ideas for architecture, and design.

• Deployment of data ingestion pipelines into dev, pre, and production environments.

• Unit testing, integration testing, functional, and non-functional testing.


Generic Managerial Skills, If any

• Azure devops for project management

Not Specified
Director Payer Strategy & Contracting Analytics
Salary not disclosed
New york city, NY 2 days ago
Director Of Payer Strategy & Contracting

How you move is why we're here. Now more than ever.

Get back to what you need and love to do. The possibilities are endless... Now more than ever, our guiding principles are helping us in our search for exceptional talent - candidates who align with our unique workplace culture and who want to maximize the abundant opportunities for growth and success. If this describes you then let's talk! HSS is consistently among the top-ranked hospitals for orthopedics and rheumatology by U.S. News & World Report. As a recipient of the Magnet Award for Nursing Excellence, HSS was the first hospital in New York City to receive the distinguished designation. Whether you are early in your career or an expert in your field, you will find HSS an innovative, supportive and inclusive environment.

Working with colleagues who love what they do and are deeply committed to our Mission, you too can be part of our transformation across the enterprise.

Emp Status: Regular Full Time

Work Shift: Day (United States of America)

Compensation Range: $128,500.00 - $196,375.00. In addition, this position will be eligible for additional benefits consistent with the role. The salary of the finalist selected for this role will be determined based on various factors, including but not limited to: scope of role, level of experience, education, accomplishments, internal equity, budget, and subject to Fair Market Value evaluation. The hiring range listed is a good faith determination of potential compensation at the time of this job advertisement and may be modified in the future.

What You Will Be Doing

The Hospital for Special Surgery Data & Analytics team is seeking a Director with a dedicated focus on supporting the Payer Strategy & Contracting function. In this role, you will report into the Data & Analytics team while serving as the primary data partner to leaders and team members in Payer Strategy. You will be responsible for translating business priorities into data-driven solutions, serving as a subject matter expert, driving automation, and delivering reporting, analytics, and insights that enable payer strategy and contracting initiatives and negotiations.

Responsibilities
  • Work closely with the Contracting team to provide analytical support for all contracting efforts, including payer contracting, bundled payment contracting, pay-for-performance contracting, and other emerging reimbursement methodologies.
  • Create and maintain models and data products to evaluate the financial success and impact of new contracts, opportunities, and policy changes, building automated processes that can be reused and scaled across multiple contracts and scenarios.
  • Partner with the Payer Strategy & Contracting team to drive automation design and manage automated reporting solutions, transitioning existing manual processes into scalable, repeatable workflows within the enterprise data lakehouse.
  • Collaborate across the Data & Analytics team to align payer strategy data needs with the broader enterprise data strategy.
  • Serve as a subject matter expert in payer strategy analytics, acting as the primary liaison between the Payer Strategy & Contracting team and the Data & Analytics organization.
  • Mentor junior analysts, building technical and analytical capabilities while fostering knowledge of payer strategy and contracting.
Qualifications
  • Bachelors degree in Data Science, Finance, Economics, Health Administration, or related field (Masters preferred).
  • 7+ years Provider/Payer contracting experience.
  • Strong understanding of payer contracting concepts, reimbursement methodologies, and healthcare financial drivers.
  • Advanced experience with APR-DRG, MS-DRG, Ambulatory Surgery Center groupers, APC, APG, and RBRVS reimbursement methodologies.
  • Proficiency in SQL and experience working with enterprise data platforms.
  • Demonstrated ability to automate reporting and analytic workflows.
  • Knowledge of hospital operations, health/insurance benefit plans, revenue cycle claims systems and complex reimbursement methodologies.
  • Proven track record of developing models to evaluate financial impact of contracts, policy changes, or new opportunities.
  • Strong communication skills with the ability to translate complex analytics into clear, actionable insights for non-technical stakeholders.
  • Experience mentoring or managing analysts, with a focus on developing both technical and business acumen.
  • Comfort working cross-functionally particularly with finance, contracting, and technical data teams.
Why Join Us?

Hospital for Special Surgery is the world's leading academic medical center focused on musculoskeletal care. You will sit at the nexus of data science, clinical excellence, and strategic innovationhelping shape initiatives that improve patient outcomes on a global scale, all within a collaborative, flexible, and inclusive work environment.

Non-Discrimination Policy: Hospital for Special Surgery is committed to providing high quality care and skilled, compassionate, reliable service to our community in a safe and healing environment. Consistent with this commitment, Hospital for Special Surgery provides care, admits, and treats patients and provides all services without regard to age, race, color, creed, ethnicity, religion, national origin, culture, language, physical or mental disability, socioeconomic status, veteran or military status, marital status, sex, sexual orientation, gender identity or expression, or any other basis prohibited by federal, state, or local law or by accreditation standards.

Not Specified
Casualty Strategy Manager
🏢 GEICO
Salary not disclosed
Lakeland, FL 2 days ago
Casualty Strategy Manager

As the Casualty Strategy Manager, you'll directly support the Casualty Organization in a variety of functions. While overseeing and collaborating with other leaders on staffing models for the operational unit, you'll also oversee budget models, develop variance and projection reporting, and lead data-driven projects that improve our processes.

As the Casualty Strategy Manager, you'll help drive our operational strategy by ensuring consistency in our communication, analysis, and reporting processes across each unit. While designing and facilitating various strategic initiatives, you'll drive team effectiveness, associate engagement, and a culture of inclusion to ensure bright ideas are brought to the table and turned into impactful solutions.

While managing the operational planning process, you'll:

  • Gather input from the department on processes and decisions
  • Compile status reports and operational monitoring reports
  • Support various HR processes for associates in the department by interviewing and approving job applicants, conducting performance appraisals, approving salary adjustments, and overseeing associate coaching and disciplinary actions if appropriate

Key Responsibilities:

  • Lead end-to-end strategy development including long-term planning and short-term tactical execution
  • Conduct in-depth analysis of operational trends, claims performance, litigation patterns, and external industry developments
  • Translate strategic objectives into actionable road maps with clear KPIs, success metrics, and execution plans
  • Ensure consistency in reporting across multiple physical locations and aid in inter-division communication
  • Collaborate with analytics, legal, compliance, technology, and claims operations to evaluate opportunities and prioritize initiatives
  • Administer operational expense budgets including preparation, analysis and counseling the Vice President of Operations on progress against budgets
  • Direct and administer the allocation of expenses as related to inter-company and intra-operational charges for the operational unit.
  • Apply experience and knowledge to generate creative solutions to solve highly complex or ambiguous issues and puts them into action

Technical Experience:

  • Claims Manager experience preferred
  • Casualty (BI and/or UM) leadership experience required
  • Deep understanding of casualty or bodily injury claims, litigation dynamics, and insurance operations
  • Strong business acumen, with the ability to synthesize complex information and make data-driven decisions
  • Proven ability to lead cross-functional projects from concept to execution
  • Excellent communication, influencing, and presentation skills
  • Proficiency in analytics tools (Excel, Tableau, SQL, etc.) and familiarity with data storytelling

Annual Salary: $101,475.00 - $189,625.00

The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate's work experience, education and training, the work location as well as market and business considerations.

At this time, GEICO will not sponsor a new applicant for employment authorization for this position.

The GEICO Pledge:

Great Company: At GEICO, we help our customers through life's twists and turns. Our mission is to protect people when they need it most and we're constantly evolving to stay ahead of their needs.

We're an iconic brand that thrives on innovation, exceeding our customers' expectations and enabling our collective success. From day one, you'll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people's lives.

Great Careers: We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career and your potential in mind. You'll have access to industry leading training, certification assistance, career mentorship and coaching with supportive leaders at all levels.

Great Culture: We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset. Grounded by our core values, we have an established culture of caring, inclusion, and belonging, that values different perspectives. Our teams are led by dynamic, multi-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose.

As part of our culture, we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers.

Great Rewards: We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future.

  • Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family's overall well-being.
  • Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance.
  • Access to additional benefits like mental healthcare as well as fertility and adoption assistance.
  • Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year.

The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.

GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.

Not Specified
Strategic Account Director
✦ New
Salary not disclosed
West Hollywood, CA 1 day ago

Our client is a fast-scaling digital media company working alongside major global entertainment brands. With deep expertise in large-scale content operations, platform monetization, rights management, and localization they enable partners to unlock the full commercial potential of their video catalogs and reach global audiences at scale.


The role owns senior-level client relationships, drives platform monetization strategy, and acts as a key commercial advisor to executive stakeholders across high-impact global accounts. It’s a highly visible position with full commercial ownership, strong growth potential, and direct exposure to leadership

What You’ll Do :

  • Own and expand strategic client partnerships with full commercial responsibility, driving revenue growth, performance, and long-term value creation,
  • Act as the primary commercial decision-maker and senior point of contact across assigned high-impact global accounts,
  • Lead monetization and distribution strategies across major digital platforms, including YouTube and Facebook,
  • Optimize commercial performance across platforms by leveraging data, analytics, and platform-specific best practices,
  • Generate strategic insights using YouTube Analytics and CMS data, translating complex data into clear, executive-level presentations,
  • Advise clients on content strategy, rights utilization, localization, and multi-territory distribution to maximize global reach and revenue,
  • Partner closely with internal operations, analytics, rights, and content teams to ensure seamless execution at scale,
  • Identify and unlock new growth opportunities across content catalogs, territories, formats, and monetization models.


Skills Required:

  • 7+ years of experience in strategic account management, partnerships, or commercial roles within digital media, entertainment, or content-driven businesses,
  • Strong expertise in platform monetization, analytics, and CMS-driven content operations,
  • Solid understanding of content localization, rights management, multi-territory distribution, and audience development,
  • Proven ability to communicate data-driven strategies and commercial insights to senior and executive-level stakeholders,
  • A strong ownership mindset with a commercially focused, results-driven approach,


Why this role :

  • Operate at the intersection of content, data, rights, and monetization,
  • Own high-visibility, high-revenue global entertainment portfolios with direct business impact,
  • Work in a company that combines deep operational expertise with strategic leadership,
  • Be part of a fast-scaling organization shaping the future of digital video monetization and global distribution
Not Specified
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