Data Driven Vs Model Driven Jobs in Usa

• Lead and implement the company’s HSE strategy across renewable energy projects in Ireland and Europe
• Ensure compliance with Irish and European health and safety legislation including Construction Regulations, PUWER, LOLER and associated directives
• Manage and maintain HSE management systems including ISO 45001 and ISO 14001 across all project locations
• Carry out internal and external HSE audits and ensure corrective actions are implemented effectively
• Provide guidance to project teams on RAMS, risk assessments, permit to work systems and safe work planning
• Drive a positive safety culture across project teams and subcontractors with a focus on behavioural safety
• Develop and maintain HSE performance reporting and KPIs across multiple European projects
• Lead incident investigations, root cause analysis and continuous improvement initiatives
• Deliver training and mentoring for site managers, engineers and supervisors on key safety topics
• Liaise with regulatory authorities, certification bodies and project stakeholders during inspections and audits
• Support environmental and sustainability initiatives including waste management and environmental risk controls
• Produce monthly and quarterly safety performance reports for senior management and project stakeholders

• Chartered IOSH member CMIOSH or equivalent qualification such as NEBOSH Diploma or MSc in Occupational Health and Safety
• 8 to 10 years experience in health and safety within construction, utilities, power generation or renewable energy projects
• Strong background working on wind farms, solar farms, battery storage or grid infrastructure projects is highly desirable
• Experience managing health and safety across multiple sites and jurisdictions within the EU
• Proven experience implementing and managing ISO 45001 safety management systems
• Excellent knowledge of Irish and European health and safety legislation and compliance requirements
• Strong leadership and communication skills with the ability to influence teams at all levels
• Experience leading audits, incident investigations and safety improvement programmes
• Comfortable working across multiple sites with regular travel across Ireland and Europe
• Practical, solutions focused approach to risk management and safety leadership

Open date: July 1, 2025

Most recent review date: Tuesday, Jul 15, 2025 at 11:59pm (Pacific Time)

Applications received after this date will be reviewed by the search committee if the position has not yet been filled.

Final date: Tuesday, Jun 30, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

The Department of Statistics at UC Berkeley invites applications for a pool of qualified temporary instructors to teach the following courses should an opening arise. Screening of applicants is ongoing and will continue as needed. The number of positions varies from semester to semester including summer sessions, depending upon the needs of the Department.

We hire a number of qualified professionals and academics to hold temporary lecturer and TSP (Teacher Special Program) positions in Statistics. We are seeking outstanding lecturers who can teach one or more of the following courses listed below.

Teaching Responsibilities:

STATISTICS 2: Introduction to Statistics

STATISTICS C8: Foundations of Data Science

STATISTICS 20: Introduction to Probability and Statistics

STATISTICS 21: Introduction to Probability and Statistics for Business

STATISTICS 33A: Introduction to Programming in R

STATISTICS 33B: Introduction to Advanced R

STATISTICS 88: Probability and Mathematical Statistics in Data Science

STATISTICS C100: Principles and Techniques of Data Science

STATISTICS 131A: Statistical Methods for Data Science

STATISTICS 133: Concepts in Computing with Data

STATISTICS 134: Concepts of Probability

STATISTICS 135: Concepts of Statistics

STATISTICS 150: Stochastic Processes

STATISTICS 151A: Linear Modeling: Theory and Applications

STATISTICS 153: Time Series

STATISTICS 154: Modern Statistical Prediction and Machine Learning

STATISTICS 155: Game Theory

STATISTICS 159: Reproducible and Collaborative Statistical Data Science

General Duties:

General duties include developing syllabi, lecturing, writing assignments, writing and grading exams, supervising teaching assistants, holding office hours, and maintaining a course website. Other duties may be assigned by the Chair as necessary.

TSP (Teacher Special Program) appointments teach our Summer Preparation Bootcamp for the Master of Arts (M.A.) in Statistics program. This bootcamp is a short courses on one or more of the topic areas listed. Most TSP courses are taught in a 'bootcamp' 3-week format in late July and early August .

Department:

Division:

To see the Current Contract between the University of California and the Unit 18 Lecturers, please visit::

Statistics Course Descriptions: courses/stat/

The minimum qualification at the time of hire is the completion of a Masters degree (or equivalent international degree).

Additional qualifications include evidence of college level instructional experience.

Preference for a PhD (or equivalent international degree) in Statistics, Applied Mathematics, or related field. Documented experience in teaching Statistics or a related field at the college level.

• Curriculum Vitae - Your most recently updated C.V.

  
  

• Cover Letter

  
  

• Statement of Teaching Philosophy and Experience

  
  

• Teaching Documentation - Teaching materials and/or student evaluations.

  
  

• Copy of Transcript (Optional)

  
  

• 2-3 required (contact information only)

Help contact:

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

• 
  
• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  
• UC Sexual Violence and Sexual Harassment Policy
  
• UC Anti-Discrimination Policy
  
• APM - 035: Affirmative Action and Nondiscrimination in Employment
  

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.

About tvScientific

tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business.

As a key member of our Data Science team, you'll be responsible for turning data into actionable insights, driving business decisions, and owning analytics projects from inception to completion. Day to day, your role will involve developing customized reporting and analytics tools to meet the unique needs of our clients.

What you'll do:

• 
  
• Write production code in Python.
  
• Design, launch, and analyze experiments to optimize ad campaigns.
  
• Create reporting and analytics tools for the Data Science Team's customers.
  
• Translate insights from reporting tools into tvScientific's Data Science Product.
  
  

What we're looking for:

• 
  
• Ability to write and review production-level code in Python.
  
• Strong statistics and ML fundamentals.
  
• Desire to work in a fast-growing environment-comfortable with ambiguity, ownership, scaling new products, and an experimental, iterative development process.
  
• Experience defining and measuring the utility of new reporting and analytics tools.
  
• Ability to quickly translate between DS Analytics & DS Product team.
  
• Strong track record of providing high-quality service to the DS team's customers/stakeholders.
  
• Adtech or CTV experience.
  
• Teaching experience is a plus.
  
• Big data experience with Scala, Apache Spark, Apache Beam, and AWS Athena is a plus.
  

In-Office Requirement Statement:

• 
  
• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
  

Relocation Statement:

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

#LI-SM4

#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.

Our Commitment to Inclusion:

Overview

We are seeking a Data Center MEP Engineer (Mechanical, Electrical, and Plumbing) to provide exceptional design and project management services for data center projects. The ideal candidate will lead internal design teams, work in a client-facing project management position, and manage various projects from concept to completion. This role is critical for ensuring that the data center’s infrastructure is designed to meet the demands of its operations while also being energy-efficient and environmentally friendly.

Employment is project based on the estimated project duration of one year. Extension is possible, although not guaranteed. This is hourly exempt and benefits eligible, including full Medical, Dental, Vision, 401K, Life, Education opportunities, and more.

Key Responsibilities

• Lead design, integration, and delivery of MEP systems (HVAC, UPS, generators, cooling, CDUs, BMS, fire protection) across high-density mission-critical environments.
• Manage both internal and external stakeholders, ensuring design scalability, while ensuring safety requirements are met.
• Drive performance optimization, reliability, and compliance with IEC, IEEE, NFPA, and ASHRAE standards.
• Define HVAC technical requirements and coordinate with other teams.
• Develop office design standards for Data Center and Mission Critical sectors.
• Collaborate across disciplines to create integrated technical solutions.
• Coordinate with Energy Modeling teams to optimize energy efficiency and carbon reduction.
• Serve as client-facing representative on behalf of JB&B and Trinity to offer additional support, leading project with a solutions-based mindset.

Requirements

• Bachelor's Degree in Mechanical Engineering or Electrical Engineering required.
• Data Center experience required.
• 5 years of experience in facility design and construction environments.
• Experience in design, construction, and commissioning of data center HVAC systems.
• Professional Engineering (PE) license preferred.
• Strong knowledge of liquid-cooling systems and energy efficiency metrics (PUE/WUE).

Onsite Monday-Thursday, Remote Fridays. About 25% travel

Our company is expanding our Data Center Build & Critical Environment practice, and we’re looking for a Data Center/Construction Solution Architect who can bridge the gap between business needs and physical data center realization.

In this role, you will architect services to produce high availability, high density, and construction-ready solutions across power, cooling, white space, and life-safety systems. You’ll guide clients through complex infrastructure decisions, lead technical scope development, partner with engineering and construction teams, and ensure the services you design perform as intended through commissioning and handover.

If you enjoy shaping mission critical environments, influencing system topologies, and pushing data center capabilities forward—this is the role.

Requirements:

•Bachelor’s or Master’s degree in Mechanical or Electrical Engineering, Industrial Engineering, or Construction Management.

•5+ years in data center design, mission critical construction, critical facilities engineering, or commissioning, preferably in hyperscale or colocation data centers.

•Strong understanding of UPS systems, switchgear, generators, chilled water/DX cooling, containment, fire & life safety, and high density/GPU cooling trends.

•Familiarity with Tier standards, TIA 942, ASHRAE TC 9.9, NFPA codes, and data center design and operational best practices.

•Ability to develop and defend CAPEX/OPEX models, evaluate vendor bids, and write detailed technical SOWs.

• •Skilled at simplifying complex engineering decisions for non-technical leaders and driving alignment across multiple stakeholders.

EPC Project Management Consulting is actively seeking a detail-driven and highly organized Construction / Project Planner to join our team, supporting a high-profile hyperscale data center client on-site in Colorado City, TX

In this role, you will be responsible for developing, maintaining, and monitoring project schedules throughout all phases of construction—from pre-construction through commissioning. You will work closely with project managers, engineers, contractors, and client representatives to ensure critical path milestones are met and risk to schedule is effectively managed.

This is a full-time, on-site role, ideal for someone with deep knowledge of construction planning principles and tools, particularly within complex, fast-paced environments like data centers. $20,000 relocation assistance is available for the right candidate.

• Location: Colorado City, TX
• Start Date: Negotiable
• Work Type: Hybrid with travel
• Salary: $120,000 - $175,000

Benefits Include:

• 8% 401(k) Employer Contribution
• Unlimited PTO
• 100% Employer-Paid BCBS Healthcare (employee, spouse, and dependents)
• 100% Dental & Vision Coverage
• Education Reimbursement
• $100,000 Life Insurance Coverage

Key Responsibilities:

• Develop and maintain detailed project schedules for large-scale data center construction projects using Primavera P6, Microsoft Project, or equivalent tools.
• Collaborate with project managers, superintendents, and subcontractors to create realistic timelines for design, procurement, construction, testing, and commissioning.
• Analyze schedule impacts, forecast delays, and recommend corrective actions to maintain project milestones.
• Perform critical path and risk analysis to identify schedule risks and opportunities.
• Track and report on schedule progress against baseline, including earned value metrics.
• Support change management processes by evaluating the impact of design or construction changes on schedule.
• Prepare and deliver progress reports, lookahead schedules, and executive summaries for stakeholders.
• Participate in client and contractor meetings, offering planning expertise to align execution with overall strategy.
• Coordinate closely with commercial, procurement, and construction teams to ensure integration of key milestones across disciplines.

Qualifications & Requirements:

• 5–10 years of experience as a Project Planner or Scheduler, preferably within data centers, mission-critical, or large-scale infrastructure projects.
• Strong knowledge of construction planning and sequencing across trades including civil, structural, MEP, and commissioning phases.
• Proficiency in Primavera P6, MS Project, and planning analytics tools (e.g., TILOS, Synchro 4D, or Power BI a plus).
• Experience managing and analyzing baseline schedules, resource loading, and schedule performance indicators.
• Familiarity with construction contracts (AIA, FIDIC, NEC) and their implications on schedule.
• Excellent communication and coordination skills with both internal teams and external contractors.
• Bachelor's degree in Construction Management, Engineering, Project Controls, or a related discipline preferred.
• Ability to thrive in fast-paced, client-facing environments with tight deadlines and evolving priorities.

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.

We're seeking an Engineering Manager to build and lead the next generation of Pinterest's big data storage platform. You'll grow and guide a team working with cutting-edge open source technologies-especially Apache Iceberg-operating at exabyte scale to power the data that helps Pinners discover and do what they love.

What you'll do:

• 
  
• Own the technical vision and long-term roadmap of Pinterest's exabyte data lake storage
  
• Collaborate with stakeholders and partner teams across the organization to architect data lake storage and metadata management technologies to unlock big data and ML/AI innovations
  
• Drive engagement and collaboration with open source communities, such as Iceberg, Spark, and Flink, to effectively address our scaling challenges
  
• Act as a stalwart of technical quality and excellence on the team, ensuring the solutions we deliver have a high level of polish and reliability
  

What we're looking for:

• 
  
• Bachelor's degree in a relevant field such as Computer Science, or equivalent experience
  
• 2+ years of management experience, or 3+ years tech lead experience in a 5+ person team
  
• 8+ years of relevant industry experience in leading the design of large scale & production distributed systems.
  
• Deep knowledge with building distributed systems.
  
• Strong cross-functional collaborator and communicator.
  
• Strong people development skills.
  
  

In-Office Requirement Statement:

• 
  
• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
  
• This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.
  

Relocation Statement:

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

#LI-HYBRID

#LI-AH2

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.

Our Commitment to Inclusion:

• Lead, coach, and develop a high-performing Operations & Data Management team, providing regular feedback, performance evaluations, and career development opportunities.
• Foster a culture of accountability, continuous learning, and collaboration.
• Ensure new team members are effectively onboarded and trained across all relevant systems and processes.
  
  

• Oversee daily operations of and client communications to ensure accuracy, timeliness, and compliance with service level agreements (SLAs).
• Monitor team workload and proactively adjust task assignments to meet volume demands and service expectations.
• Serve as the point of escalation for complex client or customer issues and ensure timely resolution.
  
  

• Partner with leadership to identify, recommend, and implement process improvements that enhance productivity, quality, and client satisfaction.
• Utilize metrics and KPIs to monitor team performance, drive operational improvements, and report progress to senior leadership.
• Lead initiatives to document, standardize, and optimize workflows, including SOPs and work instructions.
  
  

• Act as a liaison between various cross-functional teams including Distribution Operations, Supply Chain, Order to Cash, Finance, IT, Serialization, and Client Success to support seamless daily execution/escalations.
• Participate in strategic planning and special projects to support departmental and organizational goals.
  
  

• Ensure a positive client experience through consistent service delivery, proactive communication, and timely issue resolution.
• Represent in client calls or meetings as needed to address operational updates or performance discussions.
  
  

• Maintain adherence to internal controls, data accuracy standards, and regulatory compliance related to order processing and client communications.
• Monitor system and process integrity, ensuring pricing, credits, and order entry are executed without errors or delays.
  
  

• Support hands-on execution of operational tasks during peak periods or resource gaps.
• All other duties as assigned
  
  

• Execute the goals established by the business and department to ensure client delight.
• Effectively delegate tasks, responsibility, and accountability to teams to ensure execution is performed to a standard of excellence.
• Lead their team and improve the quality of the departments work product.
• Assess and determine appropriate personnel and structure to accomplish necessary day-to-day functions.
• Interview, select, and supervise the activities of the department staff within the confines of stated business goals and company policies & procedures.
  
  

• Bachelor’s degree or equivalent combination of education and experience.
• 7+ years of customer service experience within the healthcare or pharmaceutical industry, with a demonstrated ability to drive team performance and client satisfaction.
• Minimum of 4 year of supervisory experience, preferably in a high-volume, fast-paced environment such as a call center.
• Proven ability to interpret and apply business insights from industry publications, regulatory guidelines, and technical documentation.
• Strong analytical skills with the ability to interpret data, identify trends, and make informed decisions.
• Demonstrated problem-solving capabilities, including the ability to assess complex situations and implement effective solutions.
• Ability to lead both independently and collaboratively, fostering a high-performance team culture.
• Collaborative leadership style with a focus on cross-functional alignment and shared success.
• Exceptional verbal and written communication skills, with the ability to influence and engage stakeholders at all levels.
• Consistently presents a polished, professional image and models executive presence.
• Strong customer-centric mindset with a commitment to service excellence.
• Highly organized with the ability to manage multiple priorities and deadlines effectively.
• Dependable and accountable, with a track record of delivering results.
• Proficient in managing administrative workflows and optimizing operational processes.
• Deep understanding of customer service principles and best practices.
• Positive, energetic leadership presence that inspires and motivates teams.
• Skilled communicator who fosters clarity, alignment, and trust.
• High integrity and ethical standards; lead by example and builds credibility through actions.
  
  

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.

We're looking for a Staff Data Scientist to lead the science behind how advertisers understand the impact of their investment on Pinterest through first and third party measurement products. You'll push the boundaries of ads measurement, advancing our approaches to causal inference and incrementality and partner closely with Product and Engineering, as well as represent Pinterest science externally with customers and partners.

What you'll do:

• 
  
• Own the development of measurement methodologies that help advertisers understand and optimize the value of their Pinterest campaigns across the full ads delivery funnel.
  
• Design, implement, and validate advanced causal inference methods for incrementality and lift measurement.
  
• Ensure scientific rigor in our measurement products by anticipating and mitigating risks such as bias, imbalance, and under-power.
  
• Influence Ads Product & Engineering to define the measurement roadmap and integrate science solutions into products and platforms.
  
• Collaborate with internal and external measurement partners (e.g., clean rooms, conversion APIs, MMM partners, MTA vendors) to design and evaluate joint solutions.
  
• Define and own key success metrics for 1P measurement products; build tools and frameworks that enable teams and advertisers to make better decisions.
  
• Provide technical leadership and mentorship to other data scientists and analysts, elevating measurement rigor and impact across the org.
  
• Clearly communicate complex concepts and tradeoffs to executives, cross-functional stakeholders, and external customers.
  

What we're looking for:

• 
  
• 8+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems on web-scale data.
  
• 5+ years in ads measurement with a strong focus on ad effectiveness and incrementality (e.g., conversion lift, brand lift, budget-split testing, matched-market tests, MMM, MTA).
  
• Proficiency in SQL and expertise in at least one scripting language (ideally Python or R).
  
• Strong business and product sense, with a track record of turning ambiguous questions into well-defined analyses or success metrics and driving decisions that balance scientific rigor and business value.
  
• Demonstrated leadership of key technical projects and meaningful influence on the work of other data scientists, particularly junior and senior peers.
  
• Excellent communication skills and experience leading initiatives across multiple product areas and partnering with leadership and cross-functional teams.
  
• Bachelor's/Master's degree in a relevant field such as Computer Science, or equivalent experience.
  

In-Office Requirement Statement:

• 
  
• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
  
• This role will need to be in the office for in-person collaboration 1 times per week and therefore needs to be in a commutable distance from one of the following offices San Francisco, Palo Alto, or Seattle.
  
  

Relocation Statement:

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

#LI-NM4

#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.

Our Commitment to Inclusion: