At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. About the Role Snowflake sits at the center of the world's data — powering thousands of organizations across every industry. This role exists to prove and communicate the business value Snowflake delivers to its customers — through rigorous analysis of platform telemetry, not anecdote or assumption. As an Applied Scientist on the Customer FinOps Intelligence team, you will mine aggregated, anonymized platform usage signals to answer three foundational questions: How are customers using Snowflake? How efficiently are they using it? And where are they leaving value on the table? Your analysis will surface opportunities for smarter feature adoption, more efficient workload design, and stronger unit economics — creating momentum for customers to get more from their Snowflake investment while strengthening Snowflake's retention and expansion story. You will build the analytical models, benchmarking frameworks, and peer comparison methodologies that translate raw platform signals into compelling, data-driven insights — collaborating closely with field teams to ensure findings are communicated with clarity and acted upon at scale. What You Will Do - Develop and maintain peer benchmarking models using platform usage signals to produce unit economic metrics: - Credits per 1,000 jobs - Credits per TB scanned - Workload mix (% spend on Data Engineering, BI, Data Science, ELT, etc.) - Cost efficiency percentiles (p25 / p50 / p75 / p90) by industry and customer segment - Construct peer groups using unsupervised ML techniques (clustering, dimensionality reduction) on account-level feature vectors — combining industry vertical, usage fingerprint, and size normalization into meaningful comparable cohorts - Engineer a benchmarking feature store from large-scale platform usage datasets using Snowpark and dbt, covering compute, storage, and workload dimensions at account and industry level - Apply statistical rigor to handle skewed distributions, outlier accounts, and temporal variation in usage patterns across a highly diverse customer base - Package benchmarking outputs into repeatable advisory assets — cost optimization playbooks, benchmarking dashboards, and narrative summaries — that can be consumed by field teams and scaled across the customer base - Partner with Account Executives, Solution Engineers, and Customer Success Managers to embed FinOps benchmarking into the customer lifecycle — translating analytical outputs into field-ready narratives and customer conversations - Collaborate cross-functionally with Product, FinOps, and Sales Strategy to ensure advisory insights feed back into product priorities and field positioning What We Are Looking For Must Have - MS or PhD in Statistics, Applied Mathematics, Econometrics, Computer Science, or a quantitative field - 5+ years of hands-on experience in applied data science, quantitative research, or value engineering — ideally at a cloud platform, enterprise SaaS, or management consulting firm - Expert-level SQL — comfortable with complex multi-join queries across billions of rows of operational metadata - Strong proficiency in Python (pandas/polars, scikit-learn, statsmodels) for statistical modeling and ML - Deep experience with unsupervised ML: clustering (k-means, DBSCAN, hierarchical), PCA/UMAP, anomaly detection - Experience designing and interpreting percentile-based benchmarks and cohort analyses at scale - Strong communication and storytelling skills — able to interpret complex quantitative findings and present them clearly to both technical teams and business stakeholders - Comfort operating in ambiguous, greenfield environments where the methodology is yours to define Strong Plus - Prior experience at a cloud platform, SaaS analytics company, or management consulting firm working on benchmarking, telemetry analytics, or customer value modeling - Familiarity with Snowflake's platform architecture: credit model, virtual warehouses, workload types, and query execution fundamentals - Experience with Snowpark for in-platform Python ML execution - Background in FinOps, cost optimization, or cloud economics - Exposure to economic modeling or industry benchmarking methodologies - Experience presenting analytical findings to field teams or customer stakeholders (nice to have — not required) The Data You Will Work With You will work with one of the most comprehensive platform analytics datasets in enterprise software — aggregated and anonymized signals spanning compute usage, storage patterns, workload composition, and cost attribution across thousands of global customers and deployments. This includes: • Compute & credit consumption data at job and warehouse granularity • Workload classification signals across Data Engineering, BI, Data Science, ELT, and other categories • Account-level feature datasets with hundreds of dimensions for ML modeling • Storage, table access, and usage tracking rollups across cloud regions and industry verticals Why This Role Is Unique - You will work with one of the most comprehensive platform analytics datasets in enterprise software — aggregated signals spanning petabytes of usage data across thousands of global customers - Your advisory work will directly influence customer retention, expansion conversations, and how customers perceive the ROI of their Snowflake investment - You will operate at the intersection of data science, economics, and cloud infrastructure — a rare combination that drives outsized impact - This is a greenfield, high-visibility opportunity — you will define the benchmarking methodology, shape the advisory practice, and directly influence how Snowflake delivers FinOps value at scale Location Remote (US preferred) | Open to hybrid in San Mateo, CA or Seattle, WA Snowflake is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com The following represents the expected range of compensation for this role: - This role is eligible to participate in Snowflake's commission plan and it is common for employees in this role to receive total on-target earnings of $179,400 - $235,462. The estimated base salary for this role is $134,550 - $176,597. - Additionally, this role is eligible to participate in Snowflake’s equity plan. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits. To comply with pay transparency requirements and other statutes, you can notify us if you believe that a job posting is not compliant by completing this form.

Premier Research is looking for a Senior Change Orders Associate to join our Proposal & Contracts team. You will help biotech, medtech, and specialty pharma companies transform life-changing ideas and breakthrough science into new medicines, devices, and diagnostics. What we do is profoundly connected to saving and improving lives, and we recognize our team members are the most valuable asset in delivering success. - We are here to help you grow, to give you the skills and opportunities to excel at work with the flexibility and balance your life requires. - Your ideas influence the way we work, and your voice matters here. - As an essential part of our team, you help us deliver the medical innovation that patients are desperate for. Join us and build your future here. What You'll Be Doing: - Promote commercial and operational success through collaboration with operational departments to ensure appropriate budget development for all clinical change orders. - Effectively interfaces with the Business Development group, Finance group, the Contract Development group, Global Project Managers, and Regional Project Managers to achieve an accurate and appropriate budget. - Effectively manages the budget development lifecycle for Change Order budgets, as needed, throughout the study. - Ensures appropriate contributors are involved, sets budget development schedule, coordinates and collates input to meet final budget timelines; identifies, assess, resolves and/or escalates issues as needed - Prepares appropriate resource/service fees using algorithms and electronic spreadsheets, which may also include assisting in departmental reviews, analyzing final costs and providing feedback to appropriate stakeholders for input - If requested, works with Business Development or Project Management to interact with or present Change Order budget to customers What We Are Searching For: - ​​Undergraduate degree or its international equivalent preferably in the Sciences or Business Administration/ Marketing, from an accredited institution    - ​Minimum of five year’s relevant industry experience, which includes a minimum of three years’ experience in the budget development process   - ​Demonstrates an understanding of CRO services, including knowledge of the processes and procedures for conducting a clinical trial, to ensure the production of an appropriate Final or Change Order budget  - ​Good mathematics skills, including ability to calculate figures and amounts such as discounts, interest, commissions, proportions, and percentages; and the ability to apply basic concepts of accounting and finance   - ​Advanced computer skills with Microsoft Office suite, including Excel and Word   - ​Ability to multitask and work effectively in a fast-paced environment with changing priorities  - ​Excellent organizational, communication and time-management skills, able prioritize work to meet deadlines

Analyze complex data to provide insights, support billing accuracy through rate implementation, and coordinate project activities while developing documentation and influencing stakeholders to define business requirements and processes.

Title: Order Processor Location: Salt Lake City United States Job Description: Requisition Number: PRN16932N Working Title: Tech Sales & Ops Coordinator Career Progression Track: S00 Track LevelS2 - Intermediate FLSA Code: Nonexempt TypeNon Benefited Staff / Student Temporary?No Standard Hours per Week19-20 Full Time or Part Time?Part Time ShiftDay Work Schedule Summary M-Sa, 19-20 hours a week, some weekends and holidays. Is this a work study job?No VP AreaPresident Department00435 - University Campus Store LocationCampus CitySalt Lake City, UT Type of RecruitmentExternal Posting Pay Rate Range$18.00/h Close Date04/30/2026 Priority Review Date (Note - Posting may close at any time) Job Summary The University Campus Store is seeking a detail-oriented and adaptable Tech Sales & Ops Coordinator to support a hybrid role across technology sales and procurement operations. This position plays a key role in delivering a seamless customer experience—from initial quote through order fulfillment—while supporting coordination between sales and purchasing workflows. This role is ideal for someone who is organized, proactive, and interested in building experience in technology sales, operations, and procurement. Why Work at the University Campus Store? Employees at the University of Utah Campus Store enjoy a wide range of benefits that support both personal and professional well-being. These include: Employee discounts on Campus Store merchandise Opportunities for career growth and advancement within the store Flexible scheduling opportunities. The Campus Store is consistently ranked among the top 15 institutionally run stores in the nation and proudly serves over 40,000 students, faculty and staff, along with millions of visitors each year. Learn more about our mission and values here www.store.utah.edu Responsibilities • Assist in building and organizing customer quotes for technology products • Support post-purchase follow-up to ensure successful delivery and customer satisfaction • Help manage and track departmental and ASM enrollments • Communicate clearly with customers regarding order status and updates • Coordinate between sales and purchasing to ensure accurate, timely order processing • Track custom technology orders and provide status updates to internal teams and customers • Maintain organized records of orders, quotes, and vendor communications • Support procurement workflows and vendor coordination • Serve as a liaison between sales and purchasing to improve workflow efficiency • Ensure accuracy and consistency across quotes, orders, and fulfillment • Support ongoing improvements to quoting, ordering, and tracking processes Minimum Qualifications EQUIVALENCY STATEMENT: 1 year of higher education can be substituted for 1 year of directly related work experience (Example: bachelor’s degree = 4 years of directly related work experience). Requires at least 1 year of related experience. Preferences • Excellent communication and customer service skills • Ability to manage multiple priorities in a fast-paced environment • Proficiency with standard office tools (spreadsheets, email, CRM systems preferred) • Interest in technology products, sales operations, or procurement Special Instructions Summary This position may require the successful completion of a criminal background check and/or drug screen. The University of Utah values candidates who have experience working in settings with students and possess a strong commitment to improving access to higher education. Veterans’ preference is extended to qualified applicants, upon request and consistent with University policy and Utah state law. Upon request, reasonable accommodations in the application process will be provided to individuals with disabilities. Consistent with state and federal law, the University of Utah does not discriminate based upon race, ethnicity, color, religion, national origin, age, disability, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, pregnancy-related conditions, genetic information, or protected veteran’s status. The University does not discriminate on the basis of sex in the education program or activity that it operates, as required by Title IX and 34 CFR part 106. The requirement not to discriminate in education programs or activities extends to admission and employment. Inquiries about the application of Title IX and its regulations may be referred to the Title IX Coordinator, to the Department of Education, Office for Civil Rights, or both. To request a reasonable accommodation for a disability or if you or someone you know has experienced discrimination or sexual misconduct including sexual harassment, you may contact the Director/Title IX Coordinator in the Office of Equal Opportunity and Title IX (OEO). More information can be located on the University of Utah Non‑Discrimination page.