Continuous Dataset Example Jobs in Usa

Location: Washington, DC (Hybrid — remote Mondays & Fridays)

Duration: June 1 – August 7, 2026 (10 weeks)

Compensation: $20/hr (Undergraduate)

Education Level: Undergraduate

About NCTA

NCTA – The Internet & Television Association is the principal trade association of the cable and broadband industry. Our Technology team provides technical expertise and analysis to members and staff on broadband and telecommunications topics at the intersection of policy and engineering.

About the Role

The Technology Intern will develop a technically rigorous understanding of cable and broadband infrastructure, network architecture, and the security, fraud, and content protection challenges that shape real-world policy discussions. This role is ideal for an engineering-minded student eager to see how technical realities influence regulatory frameworks.

Responsibilities

• Review and organize technical reference materials related to broadband infrastructure and network security
• Update and simplify infrastructure diagrams and explainers for internal use
• Explore datasets and technical resources to identify trends and system constraints
• Map high-level network risk and abuse touchpoints across cybersecurity, anti-fraud, and anti-piracy areas
• Attend NIST and FCC webinars and hearings and prepare summary notes
• Collaborate with policy-focused teams to explore how engineering tradeoffs intersect with regulatory frameworks

What You Bring

• Foundational knowledge in engineering, computer science, or network systems
• Strong intellectual curiosity and a systems-thinking mindset
• Ability to translate complex technical concepts into clear, high-level explanations
• Comfort working with technical materials, datasets, and infrastructure concepts
• Collaborative, self-motivated, and able to work across technical and policy-focused teams
• Ability to commit to a minimum of 3 working days per week

What You'll Gain

• A foundational understanding of broadband network architecture and large-scale communications systems
• Insight into how cable infrastructure constraints shape policy and regulatory discussions
• Exposure to cross-functional work spanning cybersecurity, anti-fraud, and content protection
• Experience attending FCC and NIST proceedings and translating technical developments for broader audiences
• Participation in professional development events, networking opportunities, and a lunch with the CEO
• An assigned peer mentor to support your onboarding and growth

Our Values

At NCTA, we are guided by four core values — Competency, Curiosity, Creativity, and Compassion — and we're looking for someone who brings all four to their work every day.

To Apply

Submit your resume and a one-page cover letter referencing the Technology internship.

Candidates must be legally authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future

NCTA is an Equal Opportunity Employer. We are committed to building a culture where diverse people, ideas, and experiences are welcomed, included, and celebrated. NCTA provides equal employment opportunities to all applicants without regard to race, color, religion, national origin, sex, age, marital status, personal appearance, sexual orientation, gender identity or expression, family responsibilities, genetic information, disability, matriculation, political affiliation, or veteran status in accordance with applicable federal, state, and local laws.

Full Stack Engineer (AI / Defense)

Compensation: $150,000 – $230,000 + 0.1% – 0.5% Equity

AI Platform Modernizing Government Procurement

San Francisco, On-Site

About the Role:

We're working with a fast-growing defense and AI startup building the infrastructure layer for how governments buy technology. Their platform uses AI and large language models to analyze procurement data and help companies identify and win government contracts more efficiently.

The company already has strong traction with Fortune 500 companies, government agencies, and defense organizations.

They are now hiring Full Stack Engineers to help scale the platform. You'll work on transforming massive government datasets into actionable insights and building the interfaces customers use to identify and win opportunities.

What You'll Do:

• Build full-stack product features that help customers discover and interpret government procurement opportunities
• Develop scalable data pipelines that transform large public datasets into usable product insights
• Design intuitive user interfaces using React and Next.js
• Build backend services and data infrastructure using Python
• Develop AI-powered features and agents using LLMs
• Collaborate directly with users to understand workflows and improve how data is surfaced in the product
• Ship production-ready code quickly and iterate based on real customer feedback

You'll Thrive Here If You:

• Have 1–5 years of experience as a Full Stack Software Engineer
• Have experience shipping production full-stack products used by real customers
• Are comfortable working with React, Next.js, and Python
• Have experience building or integrating AI features, LLMs, or AI agents
• Enjoy working in fast-paced startup environments where engineers ship quickly
• Are excited about building products that support mission-critical defense and national security problems

Nice-to-Haves

• Experience as a technical founder or early startup engineer
• Background working on AI products or high-growth tech startups
• Experience as a Forward Deployed Engineer
• Active GitHub contributions, hackathons, or personal projects

What We Offer

• Competitive base salary and meaningful early-stage equity
• High ownership environment where engineers ship and iterate quickly
• In-person culture with strong collaboration and fast decision-making
• Opportunity to help build foundational technology powering a massive government and defense market

Must-Haves (Logistics)

• U.S. Citizen
• Ability to work on-site in San Francisco 5 days per week
• Authorized to work in the U.S. (visa sponsorship not available)

Strategic Account Director

Irvine, CA (on-site/hybrid/remote)

Role Overview

As Strategic Account Director, you will lead RIS Rx’s largest and most complex client programs, driving enterprise-level partnerships and ensuring operational excellence. This role is built for a dynamic, analytically driven leader who thrives in managing highly complex products, where success is defined by data integrity, operational precision, and cross-functional execution.

Core Responsibilities

Enterprise Account Ownership

• Act as the primary enterprise account owner for RIS Rx’s manufacturer programs.
• Own the overall client relationship, including executive-level communication, escalation management, and long-term account health.
• Ensure alignment between client objectives and RIS Rx’s operational, analytic, and product capabilities.

Cross-Functional Leadership

• Serve as the executive relationship lead across Client Success, Implementations, Product, Analytics, and Operations teams.
• Drive structured execution across all workstreams, ensuring clarity of ownership, timelines, and deliverables.
• Partner closely with internal leadership to align account strategy, resourcing, and performance expectations.

Program Oversight & Quality Control

• Provide oversight to ensure high client satisfaction and sustained program performance, including accurate claims, enrollment, and financial reporting.
• Maintain rigorous quality control standards while ensuring operational readiness and scalability for large manufacturer programs.
• Review and challenge data outputs prior to client delivery, ensuring accuracy, defensibility, and narrative clarity.

Ideal Backgrounds

Healthcare Consulting

• Experience advising pharmaceutical manufacturers, payers, or providers on commercial, access, or affordability programs.
• Comfortable operating in ambiguous environments and translating complex findings into clear recommendations.

Enterprise SaaS Account Management

• Ownership of large, complex client relationships where success depends on analytics, process design, and cross-functional coordination rather than pure sales tactics.

Financial Services

• Experience supporting banks, payments, or benefit-administration tools requiring precise Excel-based modeling, reconciliation, and large-file validation.

Across all backgrounds, candidates must demonstrate the ability to interpret messy, real-world datasets and convert them into actionable operational decisions.

Required Skills & Qualifications

• 7+ years of experience in account management, consulting, or enterprise client success within healthcare, SaaS, or financial services.
• Proven experience functioning as the key client sponsor for operationally complex, data-intensive products.
• Advanced Excel expertise, including:
• Dynamic formulas
• Pivot tables
• XLOOKUP and complex data reconciliation
• Large-file validation and financial modeling
• Exceptional ability to translate complex datasets into clear operational narratives for both internal teams and external stakeholders.

Leadership Attributes

• Consulting-style mindset: structured, and comfortable challenging assumptions and data prior to external sharing.
• Enterprise-level communicator who builds trust through analytic rigor and operational credibility.
• High-EQ leader capable of operating as a junior executive sponsor for RIS Rx’s most important client relationships.

Preferred Qualifications

• MBA or degree in economics, analytics, finance, or a related field.

Senior Data Scientist – Exciting Leadership Opportunity

Compensation: Up to $140,000 | Location: In-person only

Why This Role is Exciting

We’re looking for a seasoned Data Scientist to lead high-impact projects and drive strategic insights through advanced analytics and machine learning. This is a chance to work with complex, large-scale datasets, build cutting-edge models, and directly influence decisions across the organization. You’ll mentor other data scientists, collaborate with cross-functional teams, and apply your expertise to real-world problems that matter. If you’re passionate about using data to solve challenges and create tangible impact, this role is for you.

What You’ll Do

• Lead critical projects, delivering actionable insights that drive business decisions
• Develop and apply custom models and algorithms to analyze complex datasets
• Research, analyze, and interpret data using advanced statistical and machine learning techniques
• Maintain, evaluate, and optimize existing models for accuracy and performance
• Provide mentorship, technical guidance, and training to fellow data scientists
• Collaborate with teams to identify, troubleshoot, and resolve data challenges
• Communicate findings clearly to technical and non-technical audiences
• Stay at the forefront of data science best practices, tools, and techniques

What We’re Looking For

• Bachelor’s Degree in Science, Engineering, Computer Science, Mathematics, Statistics, or related STEM field (Master’s in Data Science preferred)
• Minimum 7 years of professional experience in data science
• Strong background in machine learning (clustering, decision trees, neural networks, etc.) and advanced statistics (regression, hypothesis testing, distributions)
• Experience in healthcare, medical informatics, healthcare IT, revenue cycle data management, or EHR data preferred
• Proficiency in SQL, data modeling, statistical tools, and programming languages
• Exceptional problem-solving, analytical reasoning, and project management skills
• Ability to communicate complex insights clearly and effectively to diverse stakeholders
• Demonstrated experience leading projects and mentoring other data scientists

Title: Customer Insights Analyst

Location: Remote - West Coast

Pay: $50.00-$59.00/hour

Schedule: Pacific Office Hours

Duration: 8-Month Contract

Job Responsibilities

In this role, you will serve as a strategic partner to stakeholders across the organization, leading custom market research initiatives that inform critical business decisions. Key responsibilities include:

• Leading multiple custom research initiatives, including:
• Exploratory customer research
• Market landscape and unmet needs studies
• Message development and positioning research
• Synthesizing primary research with secondary sources and third-party datasets to develop cohesive, insight-driven narratives.
• Translating complex quantitative and qualitative data into clear, visually compelling presentations that drive action.
• Providing hands-on analysis of research results, leveraging advanced analytical tools, including AI-enabled solutions.
• Representing the voice of laboratory and diagnostics customers in cross-functional engagements.

Essential Duties and Job Functions

• Partner with cross-functional stakeholders to define insight needs and translate them into focused research objectives.
• Independently design, execute, and analyze custom quantitative and qualitative research studies.
• Lead data synthesis and triangulation across multiple inputs to uncover actionable insights.
• Develop compelling executive-ready presentations that distill complex findings into clear, persuasive narratives.
• Manage multiple concurrent research projects while maintaining high standards for quality and rigor.
• Provide ad-hoc decision support grounded in data and customer understanding.
• Apply strong judgment in prioritizing competing demands in a fast-paced environment.

Knowledge & Skills

• Deep understanding of laboratory operations and key technical personas, including lab directors, pathologists, and senior scientists.
• Strong analytical and problem-solving skills, with comfort working across complex and varied datasets.
• Expertise in both quantitative and qualitative custom research methodologies.
• Ability to integrate primary research with secondary and syndicated data sources.
• Exceptional written and verbal communication skills, including executive-level storytelling.
• Experience presenting findings to cross-functional and leadership teams.
• Strong organizational skills with the ability to manage multiple projects simultaneously.
• Intellectual curiosity and analytical rigor paired with business acumen.

Education & Experience

• Bachelor's degree required; advanced degree preferred.
• 5+ years of custom insights experience within life sciences, medical devices, healthcare, or a related field.
• Demonstrated experience conducting research for laboratory and diagnostics audiences.
• Proven track record of delivering insight-driven recommendations that influence business strategy.

Company Overview:

Luye Pharma is fast-growing pharmaceutical company committed to advancing innovative therapies for Central Nervous System (CNS) disorders, with a primary focus on schizophrenia. Our pipeline includes promising new treatments such as Erzofri and Rykindo, which are set to launch in the U.S. market.

Position Summary:

In this role, you will collaborate closely with the US Head of Commercial Operations to design, implement, and manage data analytics and performance reporting systems. Your main responsibility will be to provide actionable insights that support decision-making and drive improvements in commercial outcomes. As the Manager of Commercial Analytics, you will serve as a key analytics partner for commercial leaders across sales, marketing, and operations in the US. You will offer valuable insights and recommendations to fuel growth, optimize field performance, and analyze market and patient trends. Additional key responsibilities include developing reporting processes and assisting with the coordination of Monthly Business Reviews, focusing on KPIs, forecasting variances, and updates to the Latest Estimate.

Report to: Head of Commercial Operation

Key Responsibilites:

• Develop and maintain performance dashboards and reports, integrating internal KPIs and external datasets to track business metrics, monitor progress toward sales goals, and evaluate operational performance.
• Conduct in-depth analysis of market trends and product performance to identify growth opportunities and risks.
• Evaluate overall business performance, including volume, market share, new patient starts, and KPIs, comparing actuals against forecasts and targets.
• Partner with Sales and Commercial Leadership to optimize territory alignments, call planning, and customer targeting, using analytical insights to improve sales coverage and operational efficiency.
• Assess performance and activity trends at sub-national levels to uncover opportunities, inefficiencies, and areas for improvement within the sales force.
• Prepare monthly business reviews, utilizing a combination of third-party market data (e.g., prescriber, chargebacks, 867, 852 data) and internal performance metrics to guide executive decision-making.
• Build and maintain performance dashboards and reports by integrating internal KPIs and third-party datasets to monitor business metrics, track progress against sales goals, and evaluate operational performance.
• Assist in designing incentive compensation structures and performance metrics, including goal setting and attainment analysis.
• Analyze market trends, physician and account-level data, and promotional effectiveness to support segmentation, targeting, and brand strategy.
• Provide support to field teams by addressing data and reporting requests, resolving inquiries, and delivering actionable insights for daily execution.
• Collaborate with cross-functional teams to develop demand forecast models.
• Conduct data analysis, reporting, and generate actionable insights to support commercial brand strategy and execution.
• Other duties as assigned.

Qualifications:

• Bachelor’s degree
• 3-5 years of experience in relevant analytics roles within the pharmaceutical or life sciences industry.
• Strong understanding of the pharmaceutical industry and familiarity with third-party data sources (e.g., Symphony Health, IQVIA, etc.).
• Strong proficiency in Excel
• Exceptional analytical capabilities, including the ability to manipulate large data sets and apply advanced analytical methodologies.
• Experience with BI tools (Tableau, Power BI, Qlik etc.) preferred.

To all recruitment agencies: Luye does not accept unsolicited third party resumes, and all resumes must be submitted to HR Function.

The starting compensation range(s) for this role are listed for a full-time employee (FTE) basis. Additional incentive may be available. The starting pay rate takes into account characteristics of the job, such as required skills, where the job is performed, the employee's work schedule, job-related knowledge, and experience. Final, individual compensation will be decided based on demonstrated experience.

Luye Pharma 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, or protected veteran status and will not be discriminated against on the basis of disability

Oracle FDI Developer/Analyst

Contract

Palo Alto, CA (Remote or Hybrid if in SF Bay Area)

This position pays around $60 - $70/hr on W2

Responsibilities:

• Business Discovery & Analysis

-Lead requirements for workshops with FP&A, Accounting & Procurement.

-Translating needs into well-formed user stories, acceptance criteria, and success metrics. Map KPIs/metrics (e.g., revenue, COGS, Opex, cash flow, AP/AR aging, PO cycle times) to source systems and FDI subject areas.

• Data Modeling & Development & Go live (Oracle FDI)

-Design and implement data models, pipelines, and semantic layers within Oracle Finance Data Intelligence (leveraging Oracle subject areas, views, and data products).

-Build/Configure reports, dashboards, and self-service datasets.

-Implement drill paths, prompts/filters, row-level security, and data

entitlements.

-Establish data quality checks & build/maintain documentation

-Conduct UAT and migrate in production environment

• Demos, Enablement & Iteration

-Run demos and showcases with Finance leadership and business stakeholders; collect feedback and iterate fast.

-Create playbooks and training (how-to guides, release notes, KPI definitions) to drive adoption and self-service analytics.

Required Qualifications:

• Hands-on experience implementing and configuring Oracle Financial Data Intelligence (FDI)
• Experience leading requirements gathering sessions with finance stakeholders including FP&A, Accounting, and Procurement
• Strong understanding of financial metrics and KPIs such as revenue, COGS, operating expenses, cash flow, AP/AR aging, and procurement cycle times
• Proven ability to design and build data models, semantic layers, dashboards, and self-service datasets within Oracle FDI
• Experience configuring drill paths, prompts, filters, row-level security, and data entitlements
• Knowledge of Oracle subject areas, views, and data products
• Experience mapping business metrics to source systems and reporting structures
• Ability to establish data quality checks and validation processes
• Experience conducting user acceptance testing and managing production migrations
• Strong documentation skills covering data models, configurations, and processes
• Ability to create training materials, playbooks, and how-to guides for end users
• Excellent communication skills with the ability to present to finance leadership and business stakeholders
• Ability to work autonomously with minimal supervision
• Strong organizational and prioritization skills

Preferred Qualifications:

• Experience with Oracle Cloud Financials (General Ledger, Accounts Payable, Accounts Receivable, Procurement)
• Familiarity with Oracle Analytics Cloud, OTBI, or Oracle Business Intelligence
• Background working directly with FP&A teams on budgeting, forecasting, or financial planning processes
• Experience with data integration tools or Oracle Integration Cloud
• Prior experience in a consulting or systems integrator environment
• Background working in multinational organizations or with global finance teams
• Experience driving self-service analytics adoption across an organization
• Knowledge of Agile methodologies and iterative delivery practices CBAP , PMP , or Oracle certifications

Core Competencies:

• Analytical Thinking: Ability to break down complex business problems, identify root causes, and develop structured solutions
• Technical Aptitude: Comfort working hands-on with data models, configurations, and reporting tools while understanding underlying data structures
• Business Acumen: Strong understanding of finance and accounting processes, terminology, and how data supports decision-making
• Communication: Ability to convey technical concepts to non-technical audiences and translate business needs into technical requirements
• Stakeholder Management: Skill in building relationships, managing expectations, and engaging effectively with finance leadership and cross-functional teams
• Attention to Detail: Commitment to data accuracy, documentation quality, and thorough testing
• Adaptability: Ability to iterate quickly based on feedback and adjust to evolving priorities
• Ownership & Accountability: Self-directed approach with a strong sense of responsibility for outcomes and deliverables
• Enablement Mindset: Focus on empowering end users through training, documentation, and self-service capabilities
• Collaboration: Ability to work effectively with technical and business teams across functions and geographies

We are seeking a highly analytical and business-savvy Front-Facing Data Analyst to serve as

the bridge between our data science team and external stakeholders. This role combines strong technical data skills with client communication, strategic insight, and performance optimization expertise.

The ideal candidate is comfortable analyzing complex datasets, translating findings into actionable insights, and presenting results directly to clients, partners, and executive teams.

Key Responsibilities:

Client & Stakeholder Engagement

• Serve as the primary analytics point of contact for clients
• Present performance reports, dashboards, and model insights
• Translate complex statistical results into clear business recommendations
• Participate in strategy calls

Data Analysis & Reporting

• Analyze large datasets to identify trends, risks, and opportunities
• Build and maintain dashboards (Tableau, Power BI, Looker, etc.)
• Monitor KPIs such as approval rates, conversion, fraud indicators, and portfolio performance
• Segment performance by channel, risk tier, geography, or campaign
• Perform root cause analysis on performance shifts

Modeling & Optimization Support

• Work alongside data scientists to interpret model outputs
• Conduct A/B testing and performance experiments
• Identify segments with low performance and recommend optimization strategies
• Validate model deployment performance in production environments

Cross-Functional Collaboration

• Coordinate with underwriting, marketing, risk, and engineering teams
• Assist in translating business requirements into analytical frameworks
• Support compliance and reporting needs where applicable

Required Qualifications

• Bachelor’s degree in Statistics, Mathematics, Economics, Computer Science, or related
• field
• 2–5+ years of experience in data analytics, preferably in fintech or lending
• Strong proficiency in SQL
• Experience with R or Python
• Experience with BI tools (Tableau, Looker, etc.)
• Excellent communication and presentation skills
• Ability to explain technical concepts to non-technical audiences

Preferred Qualifications

• Experience with underwriting analytics or credit risk modeling
• Familiarity with interpretable ML models (scorecards, gradient boosting, etc.)
• Knowledge of fraud detection metrics
• Experience working in a client-facing or consulting environment

Core Competencies

• Strong analytical thinking
• Business acumen
• Executive-level communication
• Detail-oriented but able to see big picture
• Proactive problem-solving mindset

This is a Full-Time/ Direct Hire (Salary) role for our manufatcuring clients in McMinnville, OR - looking to bring on a Senior Data Analyst (Digital & IT). This role would be onsite 4x per week, and remote 1x per week. Salary betweeen $90,000-125,000/Base.

In this role, you will take ownership of the division’s entire data strategy, leading efforts to modernise datasets, streamline reporting environments, and optimise everything built on top of the ERP landscape. You’ll work with commercial, finance, and other data‑consuming teams, ensuring they have reliable, accurate, and well‑structured data to support business decisions. You’ll tackle legacy middleware databases, rationalise existing data sources, and help guide the transition of remaining sites onto SAP. Data strategy, improving data ecosystems, and driving end‑to‑end data projects across a global manufacturing environment is key to this role.

Must haves:

• 5+ years’ experience in data analytics, business intelligence, or related technical roles
• Proven experience in Power BI, Power Automate and RPA Automation
• Proven success managing complex data or IT projects - ability to modernise large data sets
• Proficiency in Python or another programming language
• Experience implementing datasets and working with ETL tools
• Background or familiarity in project management - understanding and prior experience of the project life cycle and following a project framework
• Manufacturing industry experience
• Strong soft skills and ability to collaborate across departments
• Bachelor’s degree or higher in Information Systems, Computer Science, or technology-related field of study

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.

Understanding and improving how we optimize ads through the ads delivery funnel to Pinners is fundamental to Pinterest's long-term success. We're looking for a data scientist to join our team in pushing the boundaries in ads optimization. You will be a key member of an organization of talented data scientists innovating on ads delivery.

What you'll do:

• 
  
• Strategy: Evolve our strategy by working closely with product and engineering leaders to build on past learnings and shape our platform's future.
  
• Experimentation: Improve our experimentation capabilities and tools for assessing our ad delivery system, advise on best practices, identify flaws, and build tools and frameworks for experiment analysis.
  
• Leadership: Lead and mentor peers, improving team output through continuous, candid feedback that recognizes strengths and identifies areas for growth. Be a technical leader for junior data scientists.
  
• Communication: Clearly and concisely communicate complex analytical findings and insights to stakeholders with varying technical backgrounds.
  
• Continuous Learning: Stay informed on the latest developments in data science, causal inference, and advertising technology to drive innovation.
  

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
  
• Direct involvement in the evaluation, refinement, and deployment of ads optimization models for ads delivery systems.
  
• Proficiency in leveraging large datasets for performance analysis and gap identification.
  
• Proven ability to apply scientific methods to solve real-world problems on web-scale data
  
• Expertise in SQL and Python
  
• Strong business and product sense: delight in shaping vague questions into well-defined analyses and success metrics that drive business decisions
  
• Excellent communication skills: able to lead initiatives across multiple product areas and communicate findings with leadership and product teams
  
• Experience leading key technical projects and substantially influencing the scope and output of others
  
• Experience in digital ad delivery stacks preferred
  

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, CA or Seattle, WA.

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: