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Artificial Analysis

<div>Job Description &ndash; Member of Technical Staff
Location: San Francisco (preferred), Sydney, Melbourne, Brisbane
About Artificial Analysis
Artificial Analysis is the leading independent AI benchmarking company. We support labs, engineers and enterprises to understand AI capabilities and make critical decisions about their AI strategies. We are the go-to authority for understanding AI, from AI labs and enterprises to media, investors, and policymakers. Our benchmarks don&rsquo;t just measure the cutting edge of AI, they are actively shaping the frontier.
Our benchmarks and analysis are trusted by hundreds of thousands of users and are the go-to reference for leading AI labs including OpenAI, Google, Meta, NVIDIA and Anthropic, and major publications including the Wall Street Journal, Bloomberg, the Financial Times and The Economist.
We are a team of 40+, on track to double by end of year, backed by Nat Friedman (GitHub, Meta), Daniel Gross (SSI, Meta), Andrew Ng (Google Brain, DeepLearning.ai, Amazon), Adam D&rsquo;Angelo (Quora, Poe, OpenAI), Clem Delangue (Hugging Face) and other industry leaders.
The Opportunity
Our benchmarks and analysis are what the industry turns to when they need to understand AI capabilities, from AI labs and enterprises to media, investors, and policymakers. This role puts you at the forefront of the AI Frontier &ndash; you won&rsquo;t just observe the cutting edge of AI, your work will define what cutting edge means.
We&rsquo;re hiring Members of Technical Staff to design the evaluations that set the standard for how AI is measured, produce analysis that shapes how companies and the broader industry understand AI, and work directly with the leading AI labs and enterprises who rely on our insights. You&rsquo;ll develop new benchmarking methodologies, manage relationships with some of the most important AI labs and enterprise customers in the world, and help drive the product direction of our platform. The bar for success is becoming a world expert in modern AI technologies.
This is a unique combination of product, research, technical, and client-facing work, suited to highly driven technical generalists who thrive on breadth and ownership. Many of our strongest team members come from top-tier strategy consulting backgrounds, though we hire from a range of disciplines.
You&rsquo;ll work directly with our founders and across the full team. The people who join now will have an outsized role in shaping both our products and the company itself. The coming wave of AI scaling is going to change the world in ways we don&rsquo;t yet understand - and we&rsquo;re offering a front row seat.
What You&rsquo;ll Do<ul><li>AI Benchmarking Product Development: Structure, design and execute projects to evaluate AI systems and technologies, including developing new AI evaluation methodologies and datasets that advance our benchmarking capabilities</li><li>Strategic Analysis of AI: Drive developing reports and data visualizations to communicate complex AI concepts to enterprises looking to shape their AI strategy</li><li>Partner with Leading AI Companies: Collaborate with leading AI companies to support them in benchmarking their technologies, from agentic AI applications to models to hardware. This also requires identifying opportunities to enhance our leading AI benchmarking platform and working with our developers to make it happen</li><li>Become AI-Native: Embrace an AI-native workflow, using cutting-edge AI tools to generate leverage in a fast-changing industry and maintain our competitive edge in AI benchmarking</li><li>Company Strategy: We are a startup and are looking for the future leaders of Artificial Analysis. Team members will be expected to contribute to company strategy and should expect to drive large initiatives that will support us in being the leading AI benchmarking company</li></ul>
What We&rsquo;re Looking For
You have an intense interest in AI, a genuine desire to become a world expert in the field, and strong analytical and coding skills to back it up.
We hire MTS from three backgrounds. You should clearly fit one of these profiles:
Strategy Consulting
Backgrounds include: Management Consultant, Associate, Engagement Manager, Data Scientist, or similar roles at firms like McKinsey, BCG, Bain, or equivalent. Strong preference will be given to candidates with experience within a Data Analytics division such as QuantumBlack, AI by McKinsey, BCG X or equivalent.
You know how to structure ambiguous problems, build analytical frameworks, and communicate findings to senior stakeholders. You&rsquo;re now looking to apply those skills to something deeply technical. The key differentiator: you have a genuine technical interest in AI and ability to code. You follow model releases, you have opinions on where the technology is heading, and you want to be closer to the subject matter than consulting allows.
AI and Machine Learning
Backgrounds include: ML Engineer, ML Researcher, AI Engineer, Forward Deployed Engineer, Technical PM, Solutions Engineer, Technical Pre-Sales, or similar roles at AI companies or AI-focused teams.
You have hands-on experience with modern AI systems and understand how models work at a technical level. You&rsquo;re looking for a role with more breadth and industry exposure than a pure research, engineering, or PM position, where you can combine technical depth with client-facing work and strategic analysis.
Technical Product Management
Backgrounds include: Founding Engineer, Product Manager, Technical Co-founder, Head of Product, or generalist roles at early-stage AI companies.
You&rsquo;ve built and shipped AI products in a fast-moving environment where you had to operate across research, engineering, product, and commercial work simultaneously. You understand both how AI systems work technically and how they get brought to market. You&rsquo;re looking for a role where that breadth is the job, not a side effect of being early at a small company.
Across all three profiles, we require:<ul><li>3+ years of relevant professional experience</li><li>Strong analytical and critical thinking skills</li><li>Proficiency in Python and data analysis</li><li>Genuine, demonstrable interest and knowledge of Frontier AI. We want people who have informed opinions about where AI is heading, not just people who use AI tools</li></ul>
Why Artificial Analysis?<ul><li>Shape how AI gets built: The leading AI labs track our benchmarks and use them to guide their development priorities. Your work will directly influence the direction of AI.</li><li>Become a world expert in AI: You will evaluate every major model, across every major capability, as they are released. Very few roles offer this breadth of exposure to frontier AI.</li><li>Work with the most important players in AI: You&rsquo;ll manage relationships with teams at the leading AI labs and major enterprises as a trusted, independent voice.</li><li>Join at a defining moment: We&rsquo;re 40+ people, on track to double by end of year, backed by some of the most connected investors in AI. The people who join now will shape the product, the team, and the strategy as we scale.</li><li>Competitive compensation including equity</li></ul>
1</div>

Member of Technical Staff

Gap Inc.

<div><h2 class="jobSectionHeader">About Gap Inc.</h2>
At Gap Inc., we create culture as much as we create clothes. Our ambition is to become a high-performing house of iconic American brands that shape culture.
Our portfolio&mdash;Old Navy, Gap, Banana Republic, and Athleta&mdash;each brings a distinct point of view to how we show up in the world and serve our customers.
Old Navy democratizes style with quality and value for all. Gap champions originality through essential pieces that celebrate individuality. Banana Republic is rooted in a spirit of discovery, creating modern pieces inspired by craftsmanship and travel. Athleta champions the Power of She through confidence, strength, and movement.
We&rsquo;re driven by a shared purpose: to bridge gaps&mdash;between people, perspectives, and possibilities&mdash;to create a better world.
We&rsquo;re building a team that performs at a high level&mdash;people who think boldly, take ownership, and turn ideas into impact. If you&rsquo;re ready to learn fast and help shape what&rsquo;s next, you&rsquo;ll fit right in.<div><h2 class="jobSectionHeader">
About the role</h2>
Gap Inc. is transforming how its brands use data and AI to make faster, more precise commercial decisions, and the Senior Analyst, Pricing Optimization is where that analytical work gets executed. This role is the analytical foundation of Old Navy&rsquo;s pricing function&mdash;the person who runs the day-to-day models, prepares the data, validates outputs from pricing agents, and ensures the team has accurate, well-structured analysis ready to inform every pricing and promotional decision.Reporting to the Manager, Pricing Optimization, you will support the execution of specific pricing and promotional analytics work streams&mdash;preparing data, running models, and applying rigorous quality checks to outputs from pricing agents. You will produce clean, accurate analysis that your manager and team bring to Old Navy&rsquo;s business owners and finance partners. This is an individual contributor role designed for someone who is analytically precise, eager to build their skills in an AI-enabled pricing environment, and ready to be a foundational contributor to a function being built from scratch.<h2 class="jobSectionHeader">
What you'll do</h2>
Execute Pricing Analytics and Data Preparation<ul><li>
Prepare and maintain pricing and promotional data for assigned brand work streams&mdash;pulling, cleaning, and organizing retail data sets so they are accurate, complete, and ready for analysis and modeling.</li><li>
Run pricing models and scenario analyses under the direction of the Manager&mdash;applying elasticity inputs, sensitivity parameters, and promotional variables to generate outputs that are accurate, well-structured, and ready for review.</li><li>
Apply and quality-check outputs from pricing agents across assigned categories&mdash;validating data inputs, flagging anomalies or inconsistencies, and ensuring outputs are accurate before they move forward in the analytical workflow.</li><li>
Support in-season monitoring of pricing actions for assigned work streams&mdash;tracking performance against plan, flagging variances, and surfacing data that helps the team identify risks or optimization opportunities quickly.</li><li>
Use AI reporting tools and pricing platforms as a daily analytical tool&mdash;interrogating outputs with a critical eye, maintaining data integrity, and escalating to the Manager when outputs require additional human review before informing a decision.</li></ul>
Support Analysis and Reporting<ul><li>
Assemble analytical work into clean, well-organized supporting materials&mdash;building the data packages, tables, and summaries that your manager brings to business reviews and stakeholder discussions.</li><li>
Prepare data pulls, performance summaries, and analytical inputs for weekly and monthly business reviews&mdash;ensuring pricing performance across assigned categories is accurately captured and clearly organized for the team to build on.</li><li>
Develop your ability to translate analytical outputs into plain commercial framing&mdash;connecting what the data shows to what it means for margin, revenue, or promotional performance, and communicating that clearly in your deliverables.</li><li>
Respond to analytical requests from the pricing team with accuracy and care, building a track record as someone who can be counted on to deliver clean, well-organized work on time.</li></ul>
Contribute to Building the Pricing Function<ul><li>
Contribute to the ongoing training and refinement of the brand's pricing agents&mdash;documenting instances where outputs fall short, noting patterns in errors or gaps, and sharing observations with the team to improve model performance over time.</li><li>
Help build shared documentation and analytical standards for the team&mdash;capturing what good looks like in data preparation, output validation, and model quality review so that practices are consistent and repeatable as the function grows.</li><li>
Bring a curious, builder&rsquo;s mindset to a function that is being created from scratch&mdash;asking questions, trying new approaches, and actively contributing ideas about how this team&rsquo;s analytical processes can work better as it scales.</li></ul><h2 class="jobSectionHeader">
Who you are</h2>
Experience<ul><li>
Bachelor&rsquo;s degree required.</li><li>
1-4 years of experience in pricing analytics, demand planning, merchandise planning, commercial analytics, or a related field&mdash;including internship or co-op experience in retail or consumer products.</li><li>
Foundational analytical skills and a strong desire to build proficiency in pricing model execution: data preparation, elasticity inputs, sensitivity analysis, promotional effectiveness, and scenario modeling.</li><li>
Experience or an aptitude for working with AI-generated analytical outputs: you are comfortable applying, reviewing, and quality-checking outputs from pricing agents, and you understand the importance of human oversight before outputs inform decisions.</li><li>
Comfort with reporting and analytics platforms; you learn tools quickly, apply them in your day-to-day analytical work, and are motivated to build fluency as new tools are introduced.</li><li>
Demonstrated ability to produce clean, well-organized analytical work&mdash;data that is accurate, clearly structured, and ready for a manager or team to build on and act from.</li></ul>
Leadership &amp; Mindset<ul><li>
Analytically precise: you hold a high personal bar for data accuracy, take ownership of the work you produce, and don&rsquo;t let outputs move forward until you&rsquo;re confident they&rsquo;re right.</li><li>
Commercially curious: you want to understand why the numbers matter, not just how to produce them&mdash;and you actively connect your analytical work to business outcomes like margin, revenue, and promotional performance.</li><li>
Clear and organized communicator: you present data and analysis in a way that is easy to follow&mdash;well-labeled, logically structured, and free of ambiguity about what you&rsquo;re showing and what it means.</li><li>
AI-partnership mindset: you engage with pricing agents and agentic tools with genuine curiosity and appropriate rigor&mdash;applying outputs carefully, asking questions when something doesn&rsquo;t look right, and grounding your work in ethical and brand-aligned judgment.</li><li>
Eager to grow: you bring genuine interest in how pricing, AI, and retail intersect, actively seek to build your skills as the tools and function evolve, and approach your work with a test-and-learn mindset.</li></ul>
Salary Range: $93,700.00 - $121,800.00 
Employee pay will vary based on factors such as qualifications, experience, skill level, competencies and work location. We will meet minimum wage or minimum of the pay range (whichever is higher) based on city, county and state requirements.</div><h2 class="jobSectionHeader">
Benefits at Gap Inc.</h2>
<ul><li>Merchandise discount for our brands: 50% off regular-priced merchandise at Old Navy, Gap, Banana Republic and Athleta, and 30% off at Outlet for all employees.</li>
<li>One of the most competitive Paid Time Off plans in the industry.*</li>
<li>Employees can take up to five &ldquo;on the clock&rdquo; hours each month to volunteer at a charity of their choice.*</li>
<li>Extensive 401(k) plan with company matching for contributions up to four percent of an employee&rsquo;s base pay.*</li>
<li>Employee stock purchase plan.*</li>
<li>Medical, dental, vision and life insurance.*</li>
<li>See more of the benefits we offer.</li>
</ul><ul><li>For eligible employees</li></ul>
Gap Inc. is an equal-opportunity employer and is committed to providing a workplace free from harassment and discrimination. We are committed to recruiting, hiring, training and promoting qualified people of all backgrounds, and make all employment decisions without regard to any protected status. We have received numerous awards for our long-held commitment to equality and will continue to foster a diverse and inclusive environment of belonging. In 2022, we were recognized by Forbes as one of the World's Best Employers and one of the Best Employers for Diversity.</div>

Sr. Analyst Pricing Optimization

WeCare Outsourcing

WeCare Outsourcing is looking for a highly motivated and detail-oriented Data Analyst to join our remote team. The successful candidate will analyze business data, prepare reports, identify trends, and provide actionable insights to support informed decision-making.<h3>Responsibilities</h3><ul><li>Collect, clean, organize, and analyze data.</li><li>Create reports, dashboards, and data visualizations.</li><li>Monitor KPIs and identify trends or performance gaps.</li><li>Prepare regular and ad-hoc analytical reports.</li><li>Maintain accurate databases and spreadsheets.</li><li>Collaborate with internal teams to support business objectives.</li><li>Ensure data accuracy, consistency, and confidentiality.</li><li>Present findings and recommendations to management.</li></ul><h3>Requirements</h3><ul><li>Bachelor's degree or equivalent experience in Data Analytics, Statistics, Business, Computer Science, or a related field.</li><li>Previous experience in data analysis is preferred.</li><li>Strong Microsoft Excel skills.</li><li>Knowledge of SQL, Power BI, Tableau, or similar tools is an advantage.</li><li>Excellent analytical and problem-solving abilities.</li><li>Strong attention to detail.</li><li>Good written and verbal communication skills.</li><li>Ability to work independently in a remote environment.</li></ul><h3>Compensation &amp; Benefits</h3><ul><li>Competitive hourly pay</li><li>100% Remote / Work From Home</li><li>Flexible working environment</li><li>Career growth opportunities</li><li>Training and professional development</li><li>Supportive remote team</li></ul>Apply Today: Join WeCare Outsourcing and help turn data into meaningful business insights.

Data Analyst

Capgemini

<div><div><div><div>Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you&rsquo;d like, where you&rsquo;ll be supported and inspired by a collaborative community of colleagues around the world, and where you&rsquo;ll be able to reimagine what&rsquo;s possible. Join us and help the world&rsquo;s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
<div><div><div><h2 class="jobSectionHeader">Location</h2>
</div><div>San Francisco CA
</div></div><div><div><h2 class="jobSectionHeader">Your Role</h2>
</div><div>The GenAI Engineer / Data Scientist is responsible for designing, developing, deploying, and maintaining Generative AI (GenAI) and Predictive AI solutions that deliver business value. The role requires expertise in AI/ML, cloud platforms, APIs, data engineering, MLOps, and AI agent workflows, with a strong focus on production-grade AI implementation. 
 
Key Responsibilities 
 
Develop and deploy Generative AI solutions (GPT, Claude, Stable Diffusion) and Predictive AI models (regression, classification, clustering).
 
Design and integrate AI applications using REST APIs, authentication mechanisms, JSON services, and cloud-based architectures.
 
Build and support AI agents, autonomous systems, and agentic workflows.
 
Deploy, monitor, and optimize AI models in production using MLOps practices.
 
Design and maintain data pipelines, data lakes, and data warehouses.
 
Monitor model performance, troubleshoot issues, and manage data/model drift.
 
Collaborate with business and technical teams to align AI solutions with organizational objectives.
 
Create reusable assets, demos, and proof-of-concepts to support innovation and business development. 
 
 
</div></div><div><div><h2 class="jobSectionHeader">Required Skills and Experience
</h2></div><div>A hands-on AI professional with strong expertise in Generative AI, Machine Learning, Python, Cloud Technologies, APIs, MLOps, Data Engineering, and AI Agents, capable of building and scaling enterprise-grade AI solutions from development to production.
 
Bachelor's degree or higher in AI, Machine Learning, Computer Science, or related field.
 
3-5 years of experience in AI, Machine Learning, Data Science, or Application Development.
 
Experience with production AI deployments, MLOps, model monitoring, and cloud platforms.
GPT, Claude LLM, Stable Diffusion
 
LangChain
 
TensorFlow
 
PyTorch
 
Scikit-learn
 
RAG (Retrieval-Augmented Generation)
 
AI Agents &amp; Agentic Workflows
 
API Development
 
REST APIs
 
JSON
 
HTTP Requests
 
Authentication &amp; Tokens
 
Error Handling &amp; Debugging 
 
 
 
 
</div></div></div>The base compensation range for this role in the posted location is $90,000- $160,000
Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.
The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.
These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.
It is not typical for candidates to be hired at or near the top of the posted compensation range.
In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.
Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
<ul><li>Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave</li>
</ul><ul><li>Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)</li>
<li>Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)</li>
<li>Life and disability insurance</li>
<li>Employee assistance programs</li>
<li>Other benefits as provided by local policy and eligibility</li>
</ul>Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini&rsquo;s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.
Disclaimers
Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.
Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.</div></div></div></div>

Data Scientist/ AI Engineer

Sutter Health

<div>We are so glad you are interested in joining Sutter Health!
Organization:
SHSO-Sutter Health System Office-Bay
Position Overview:
Support the operational infrastructure needed to manage and scale Sutter Sync clinical programs. This role would focus on reporting, metric tracking, capacity visibility, issue and action follow-up, meeting preparation, decision tracking, and operational analysis. The analyst would also help identify current-state workflow gaps by working with the Epic team, reviewing data, observing operations, and gathering input from clinical and operational stakeholders. They would surface patterns, risks, and opportunities for improvement so clinical operations, product, design, and technical teams can make better-informed decisions. 
 
This role translates raw data into meaningful operational reports, helping business stakeholders make informed day-to-day decisions. This position is a key developing contributor within their respective department or business unit. Bridges the gap between basic data extraction and advanced analytics. Focuses on business value&mdash;partnering with end-users to understand operational workflows, translating basic business requests into technical requirements, and building operational dashboards. Working with decreasing supervision, this role applies intermediate analytical skills to solve common operational questions.
Job Description:
****Please Note: While this position is listed as hybrid, regular in-office attendance is required. Candidates should be prepared to commute to the San Francisco office on a consistent basis to support team collaboration and business needs.****
EDUCATION: 
Equivalent experience will be accepted in lieu of the required degree or diploma.<ul><li>
Bachelor's degree in Business Analytics, Healthcare Administration, Statistics, Economics, Finance, Computer Science, or a related field</li></ul>
TYPICAL EXPERIENCE:
<ul><li>4 years recent relevant experience</li></ul>
PREFERRED EXPERIENCE:<ul><li>
Healthcare operations, virtual care, ambulatory care, population health, or clinical program operations experience.</li><li>
Experience with KPI tracking, dashboarding, reporting, trend analysis, and operational performance analysis.</li><li>
Experience identifying workflow gaps, process issues, data quality concerns, and opportunities for improvement.</li><li>
Experience working cross-functionally with clinical, operational, IT/Epic, product, analytics, and leadership teams.</li><li>
Experience with Excel, Power BI, Tableau, SQL, Epic reporting tools, or similar analytics/reporting platforms.</li><li>
Experience supporting operational readiness, action tracking, meeting preparation, and decision documentation for complex programs.</li></ul>
SKILLS AND KNOWLEDGE:<ul><li>
Analytics: Solid understanding of data analysis techniques and operational reporting best practices.</li><li>
Tools: Proficiency in data visualization platforms (Tableau, Power BI) or in application reporting and dashboard tools and intermediate-to-advanced Excel.</li><li>
Data Access: Intermediate SQL skills for independent data extraction and exploration.</li><li>
Communication: Strong verbal and written communication skills; ability to translate technical concepts to non-technical business partners.</li><li>
Problem Solving: Ability to work independently to solve common operational questions and manage routine analytical queues.</li></ul> 
These Principal Accountabilities, Requirements and Qualifications are not exhaustive, but are merely the most descriptive of the current job. Management reserves the right to revise the job description or require that other tasks be performed when the circumstances of the job change (for example, emergencies, staff changes, workload, or technical development).
Job Shift:
Days
Schedule:
Full Time
Shift Hours:
8
Days of the Week:
Monday - Friday
Weekend Requirements:
As Needed
Benefits:
Yes
Unions:
No
Position Status:
Non-Exempt
Weekly Hours:
40
Employee Status:
Regular
Sutter Health is an equal opportunity employer EOE/M/F/Disability/Veterans.
Pay Range is $53.65 to $80.48 / hour
The compensation range may vary based on the geographic location where the position is filled. Total compensation considers multiple factors, including, but not limited to a candidate&rsquo;s experience, education, skills, licensure, certifications, departmental equity, training, and organizational needs. Base pay is only one component of Sutter Health&rsquo;s comprehensive total rewards program. Eligible positions also include a comprehensive benefits package.</div>

Virtual Clinic Operations Analyst

Uber

<div>About the Role
 
 
Compensation is one of Uber's largest expense pools. As a Senior Associate on the Corporate Finance team, you will own the planning, forecasting, and analysis for total compensation across Uber's global employee workforce. Sitting between Finance and the People organization, you will partner with Compensation, Equity, Benefits, and People teams to pressure-test the assumptions behind our compensation cost base, and translate them into the consolidated forecast leadership uses to manage the P&amp;L, margin, and profitability commitments.
 
 
What the candidate will do
<ul><li>Own the compensation and SBC forecast - Build and maintain the consolidated forecast for compensation and benefits across annual, quarterly, and monthly cycles, translating headcount plans into fully loaded cost by function and geography. Maintain the SBC amortization model and support the GAAP-to-Adjusted-EBITDA bridge and guidance inputs. Partner with Accounting on close, accruals, and variance analysis.
</li><li>Own share count and dilution analysis - Maintain the diluted share count forecast and quantify the dilutive impact of compensation decision. Model repurchase and net dilution effects, support the diluted EPS and free cash flow bridges, and build scenarios on burn rate and overhang with Accounting, Treasury, and IR.
</li><li>Partner with the People organization - Serve as the Finance counterpart to Compensation, Equity, Benefits, and People Analytics, bringing a P&amp;L lens before decisions are finalized. Price the annual compensation cycle - merit, promotion, and refresh pools, market adjustments - and evaluate benefits, location, and banding changes. Establish a reconciled view of headcount and comp data across People and Finance systems.
</li><li>Support leadership and improve the process - Feed assumptions into the consolidated forecast, long-range plan, and profitability targets, and build scenario analyses on trade-offs across headcount, comp mix, and cash vs. equity. Prepare decision-ready materials for executive reviews, track deliverables, and drive automation and documentation of core processes.
</li></ul>Basic Qualifications
<ul><li>BS/BA in Finance, Accounting, Economics, or other relevant subject
</li><li>4+ years of proven experience
</li><li>Advanced experience with Excel/Google Sheets, including driver-based financial modeling
</li><li>Prior financial and/or analytical experience, including FP&amp;A, investment banking, management consulting, private equity, or operations
</li><li>Self-starter with attention to detail and swift, high-quality execution
</li></ul>Preferred Qualifications
<ul><li>Strong analytical and communication skills, moving between model mechanics and the executive-level &quot;so what&quot;
</li><li>Working knowledge of SBC and dilution mechanics - ASC 718, vesting and amortization, ESPP, treasury stock method, overhang, and burn rate
</li><li>Familiarity with compensation program design: merit, promotion and refresh budgets, banding, geo differentials, and benchmarking
</li><li>Understanding of enterprise planning systems (e.g., IBM Cognos TM1, Oracle); Workday or equity administration platforms a plus
</li><li>Experience with large datasets and BI/query tools (SQL, Tableau); interest in AI and automation to reduce manual effort
</li>Public company experience a plus 
<li>
</li></ul> 
 
For New York City, NY-based roles: The base salary range for this role is USD $131,000 per year - USD $145,000 per year. 
 
For San Francisco, CA-based roles: The base salary range for this role is USD $131,000 per year - USD $145,000 per year. 
 
For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award &amp; other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. 
 
Ready to Ride? 
 
This isn't the kind of place where you follow a playbook - it's where you help write one. If you're driven by impact, energized by challenge, and ready to shape how the world moves - we'd love to hear from you. 
 
You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits.
 
 
Offices remain key to collaboration and Uber's culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, like those at greenlight hubs, require full-time in-office presence. Ask your Recruiter for details about this role's requirements. 
 
Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.</div>

Strategic Finance, Sr Associate - US&C Mobility

Faire

<div><div>About Faire

Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town &mdash; we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive.

We're looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours.</div>
About the role:

As a Senior Enterprise Security Engineer, you will help protect Faire's corporate environment across endpoint, network, identity, and SaaS, and play a key role in how we govern the safe use of AI across the company. You will apply secure-by-default standards, champion zero trust, and turn strategy into practical controls, automation, and guidance that teams adopt. Working across leadership pillars, you will help shape our AI governance approach and own much of how it gets put into practice. This is a role for someone who is strong hands-on and ready to grow their scope and influence across IT, Engineering, Legal, People, Finance, and Product.

What You'll Do:
<ul>
<li>Help shape and operate Faire's AI governance program: acceptable-use standards, data protection for AI tools, vendor and model risk review, and safe patterns for AI-assisted work (including agent and MCP-based integrations).</li>
<li>Partner with IT teams to harden endpoint management, corporate infrastructure, identity services, and networking.</li>
<li>Design and implement controls that protect company information from unauthorized access, disclosure, or misuse.</li>
<li>Support and help run our endpoint detection and response platform, email security stack, and phishing simulation and awareness programs.</li>
<li>Build the guardrails and enablement that let teams experiment with AI quickly without creating new exposure, partnering with Engineering rather than duplicating their work.</li>
<li>Advise employees on securing endpoints, office AV, and network gear, and publish clear runbooks.</li>
<li>Build and deliver training that grows a culture of security, accountability, and practical awareness.</li>
<li>Track emerging threats, including AI-specific risks, and make recommendations to improve our posture.</li>
</ul>
What It Takes:
<ul>
<li>5+ years in enterprise security with hands-on experience.</li>
<li>Practical experience in at least two of these areas: endpoint security, network security, data security, security operations, threat management, AI governance and security.</li>
<li>Exposure to enterprise AI governance and security (e.g. AI platform management, AI tool or MCP security review, prompt guardrailing), with the interest and ability to grow into owning more of it.</li>
<li>Experience writing policies and processes and supporting audits for frameworks such as ISO 27001, SOX, and SOC 2 Type II.</li>
<li>Strong written and verbal communication.</li>
<li>Analytical, outcomes-driven mindset with a bias for action.</li>
<li>Ability to influence others through empathy and relationship-building.</li>
<li>A passion for programming and solving problems with code (Python, Ruby, or Go).</li>
</ul><h4 class="jobSectionHeader">Salary Range:</h4>

San Francisco: the pay range for this role is $174,500 - $240,000 per year.

This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.<div>
Hybrid Faire employees currently go into the office 3 days per week on Tuesdays, Thursdays, and a third flex day of their choosing (Monday, Wednesday, or Friday). Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting. 

Why you'll love working at Faire
<ul>
<li>Move fast: You'll own meaningful problems that serve customers around the globe with the agency to move fast and see your results clearly.</li>
<li>Equipped to scale: We invest in what matters, including the latest enterprise AI tools, to help you work smarter and get more out of every day.</li>
<li>Best in class: Our team is full of sharp, kind, and generous colleagues who care about their craft and about helping you grow in yours.</li>
<li>Real rewards. Competitive pay, equity, and comprehensive benefits designed to support your life inside and outside of work.</li>
<li>Belonging: We're intentional about building an environment where every Faire employee has equal access to opportunities, growth, and success.</li>
</ul>
Faire was founded in 2017 by a team of early product and engineering leads from Square. We're backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. We have headquarters in San Francisco and Kitchener-Waterloo, and a global employee presence across offices in Toronto, London, and New York. To learn more about Faire and our customers, you can read more on our blog.

Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression.

Faire is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. We will work with all applicants to accommodate their individual accessibility needs. To request reasonable accommodation, please fill out our Accommodation Request Form (https://bit.ly/faire-form)

Privacy

For information about the type of personal data Faire collects from applicants, as well as your choices regarding the data collected about you, please visit Faire's Privacy Notice (https://www.faire.com/privacy)</div></div>

Senior Enterprise Security Engineer

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