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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

Stitch Fix

<div><div><h3 class="jobSectionHeader">About Stitch Fix, Inc.
</h3>Stitch Fix (NASDAQ: SFIX) Stitch Fix is redefining retail by combining human creativity with advanced data science and Generative AI. As we build the future of personalized shopping, we're equally committed to building yours. We believe in investing in our team as much as our technology. Join us to be a trendsetter in the industry and help us redefine what's possible for our clients, while we help you reach your full potential.</div> 

<h1 class="jobSectionHeader">
About the Role</h1>

The Client Experience Product Algorithms team is responsible for the machine learning, AI, experimentation, and product analytics capabilities that power personalized experiences for Stitch Fix clients and stylists. Partnering across Product, Engineering, Design, Styling, Marketing, Merchandising, Finance, Enterprise Analytics, Data Platform, and DSN, the team translates data and algorithms into measurable business impact.

As Director, Product Algorithms, you will lead the strategy, execution, and people behind our Growth, Styling, and Fix &amp; Freestyle Algorithms portfolios. You'll define how AI, machine learning, experimentation, and analytics shape the future of personalized shopping while building the operating discipline, technical excellence, and cross-functional alignment needed to deliver scalable business results.
<h2 class="jobSectionHeader">
Responsibilities</h2>
<ul><li>Lead the Product Algorithms portfolio across Growth, Styling, and Fix &amp; Freestyle, setting strategy and driving measurable outcomes across acquisition, engagement, retention, styling quality, Fix, Freestyle, outfitting, and related commerce experiences.</li>
<li>Define the vision and roadmap for applying data science, machine learning, AI, experimentation, and product analytics to improve client experiences, stylist effectiveness, and business performance.</li>
<li>Drive innovation by identifying, evaluating, and scaling modern AI, machine learning, personalization, and experimentation techniques that create meaningful impact while balancing technical feasibility, execution capacity, and business priorities.</li>
<li>Strengthen organizational effectiveness by improving planning, prioritization, experimentation practices, product analytics capabilities, operational readiness, incident management, and cross-functional decision making across the portfolio.</li>
<li>Build and develop a high-performing organization of managers and senior individual contributors, fostering technical excellence, strong product leadership, accountability, and collaborative partnerships while representing Product Algorithms with executive stakeholders.</li>
</ul><h2 class="jobSectionHeader">How AI and Tools Show Up in Your Day-to-Day Work</h2>
<ul><li>Use AI-powered tools (such as ChatGPT, GitHub Copilot, and other emerging technologies) to improve decision making, productivity, communication, and operational efficiency.</li>
<li>Leverage experimentation platforms, analytics tools, machine learning infrastructure, and product development systems to guide roadmap decisions and measure business impact.</li>
<li>Continuously evaluate and adopt new AI capabilities, technologies, and ways of working that improve team effectiveness and accelerate innovation.</li>
</ul><h1 class="jobSectionHeader">About You</h1>

You are a strategic technical leader who combines deep expertise in machine learning and AI with exceptional product thinking, organizational leadership, and business judgment. You thrive in highly collaborative environments, enjoy solving ambiguous problems, and know how to translate emerging technologies into measurable customer and business outcomes.
<h2 class="jobSectionHeader">
Requirements</h2>
<ul><li>Bachelor's degree in Computer Science, Data Science, Statistics, Engineering, Mathematics, or a related quantitative field; advanced degree preferred.</li>
<li>10+ years of experience in data science, machine learning, experimentation, product analytics, AI, or algorithmic product development, including 5+ years leading teams and experience managing managers or senior technical leaders.</li>
<li>Demonstrated success defining strategy and delivering production machine learning, AI, personalization, or experimentation capabilities that drive measurable product and business outcomes.</li>
<li>Strong technical fluency across modern machine learning, generative AI/LLMs, experimentation methodologies, product analytics, and production algorithmic systems.</li>
<li>Experience building cross-functional partnerships with Product, Engineering, Design, Analytics, Data Platform, Marketing, Merchandising, Finance, and executive stakeholders.</li>
<li>Exceptional strategic thinking, communication, prioritization, problem-solving, and organizational leadership skills, with the ability to influence across technical and non-technical audiences.</li>
<li>Experience using AI tools (such as ChatGPT, GitHub Copilot, or similar technologies) to improve productivity, decision making, collaboration, and the quality of work.</li>
<li>This position requires the ability to sit for extended periods of time, use a computer and standard office equipment, and communicate effectively in both written and verbal formats.</li>
</ul><h2 class="jobSectionHeader">Nice to Have</h2>
<ul><li>Advanced degree (MS or PhD) in Computer Science, Machine Learning, Statistics, Operations Research, Engineering, or a related field.</li>
<li>Experience leading AI- or ML-driven consumer products within e-commerce, marketplaces, retail, recommendations, personalization, or digital consumer experiences.</li>
<li>Experience building or evolving experimentation platforms, product analytics capabilities, or AI governance and operational excellence practices.</li>
<li>Familiarity with large-scale recommendation systems, ranking models, generative AI applications, causal inference, optimization, or reinforcement learning.</li>
<li>Experience leading organizations through significant technical transformation, organizational scaling, or AI adoption initiatives.</li>
</ul><div>
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Recruiting Fraud Alert:

To all candidates: your personal information and online safety are top of mind for us. At Stitch Fix, recruiters only direct candidates to apply through our official career pages at https://www.stitchfix.com/careers/jobs or https://web.fountain.com/c/stitch-fix.

Recruiters will never request payments, ask for financial account information or sensitive information like social security numbers. If you are unsure if a message is from Stitch Fix, please email careers@stitchfix.com.</div></div>

Director, Data Science & Algorithms - CX Product Experiences

Sunrun

<div>At Sunrun, we&rsquo;re on a mission to change the way the world interacts with energy, and we&rsquo;re building a company and brand that puts power at the center of life. To do it, we&rsquo;re designing a dynamic culture where employee development, well-being, and safety come first. It&rsquo;s why we&rsquo;ve become the #1 home solar and battery company in America. We&rsquo;re unlike any other residential energy company. Our vertically integrated model gives us total control over every part of the energy lifecycle &ndash; from sale through installation and beyond &ndash; so you can find endless opportunities for growth. Come join a career you can grow in and a culture you can run with. 
 
Who We Are
We&rsquo;re on a mission to make energy more reliable and affordable for more people. We provide an opportunity with storage and solar to help people access greater energy independence without the big upfront costs. Sunrun is the largest dedicated residential solar and storage company in the country and has a mission to bring stably priced resilient power to the masses. 
The Vice President of Strategic Finance &amp; Analytics (SF&amp;A) is a key member of Sunrun's senior finance leadership team, responsible for driving company-wide financial planning &amp; analysis (FP&amp;A) and delivering the data-driven insights that inform strategic and operational decision-making. This leader will serve as a critical thought partner to the CFO, CEO, and business unit leaders, translating complex financial and operational dynamics into clear, actionable perspectives.
This role owns the full SF&amp;A function &mdash; from long-range planning and annual budgeting to monthly performance reporting and business case development &mdash; as well as the financial analytics capability that supports pricing, subscriber economics, unit margin analysis, and strategic initiatives. The ideal candidate thrives in a complex, capital-intensive business model and is equally comfortable presenting to the Board of Directors as they are rolling up their sleeves to improve a forecast model. This role will be working a minimum of 3 days per week onsite in our San Francisco corporate office.
<h2 class="jobSectionHeader">ESSENTIAL DUTIES AND RESPONSIBILITIES</h2>
Financial Planning &amp; Analysis<ul><li>
Lead all aspects of the enterprise-wide planning cycle, including the long-range plan, corporate model, annual operating plan, and quarterly forecasts.</li><li>
Deliver timely and insightful monthly/quarterly performance reporting to executive leadership and the Board of Directors.</li><li>
Partner with business unit leaders to build bottoms-up operational plans and drive accountability to financial targets.</li><li>
Identify risks and opportunities in the financial outlook and provide actionable recommendations for mitigation or capitalization.</li></ul>
Financial Analytics<ul><li>
Build and lead a high-performing analytics function that generates insight across subscriber economics, unit margins, and functional level cost structures.</li><li>
Modernize the SF&amp;A tech stack, leveraging AI and predictive modeling to improve the accuracy of analytics and projections.</li><li>
Support strategic initiatives&mdash;including new market entry and product launches&mdash;with rigorous financial scenario modeling.</li><li>
Translate complex energy industry metrics and non-GAAP measures into clear narratives for internal and external audiences.</li></ul>
Commissions &amp; Incentive Compensation Analytics<ul><li>
Own the financial oversight and analytical framework for Sunrun's commission and incentive programs across all functions.</li><li>
Partner with functional leaders and the People/Compensation teams to model the financial impact of plan design changes and quota-setting.</li><li>
Develop reporting and analytics to provide visibility into commission expense trends, attainment distributions, and ROI of incentive spend.</li><li>
Ensure commission accruals and forecasts are accurate and fully integrated into the broader FP&amp;A planning cycle.</li></ul>
Strategic Partnership &amp; Leadership<ul><li>
Serve as a trusted advisor to the CFO and executive team on financial strategy and resource allocation.</li><li>
Lead the preparation of financial materials for Board meetings, investor relations updates, and quarterly earnings calls.</li><li>
Analyze the financial implications of federal and state energy policies (such as the Inflation Reduction Act) to maximize Sunrun&rsquo;s competitive advantage.</li><li>
Recruit, develop, and retain a team of high-performing finance professionals, fostering a culture of technical excellence and accountability.</li></ul><h2 class="jobSectionHeader">
QUALIFICATIONS</h2>
Required:<ul><li>
Bachelor&rsquo;s degree in Finance, Accounting, Economics or a related quantitative field from a top-tier university (MBA and/or CFA is a strong plus, but not required)</li><li>
10-15+ years progressive finance experience, including 5+ years in a senior leadership role, ideally with experience in a similar role at a publicly-traded company.</li><li>
Prior work experience in investment banking and/or private equity is a strong plus.</li><li>
Proven track record of leading Finance teams in a company with 5,000+ employees.</li><li>
Proven track record partnering with and influencing senior leadership.</li><li>
Strong interpersonal skills and a knack for productive collaboration across varying departments</li><li>
Mastery of complex financial engineering and structured finance markets, ideally with experience in renewable energy project finance.</li><li>
High proficiency in AI tools, business intelligence platforms (e.g., Tableau), and EPM/ERP ecosystems (e.g., Oracle, Anaplan, or similar).</li><li>
Deep understanding of finance as a function and handling sensitive and confidential material in a public company, and strong general business acumen.</li><li>
Ability to analyze and compile large sets of data and present effective reporting.</li><li>
Proven creative thinker with excellent oral and written communication skills.</li><li>
Demonstrate proficiency in utilizing AI tools to enhance productivity and streamline workflows, or possess the agility and &quot;growth mindset&quot; to rapidly master new AI technologies as they are integrated into Sunrun&rsquo;s operations.</li></ul>
Recruiter:
Amanda Frock (amanda.frock@sunrun.com)
Please note that the compensation information is made in good faith for this position only. It assumes that the successful candidate will be located in markets within the United States that warrant the compensation. Please speak with your recruiter to learn more.
Starting salary/wage for this opportunity:
$192,333.96 to $256,445.28
Compensation decisions will not be based on a candidate's salary history. You can learn more here.
This job description outlines the primary responsibilities, some essential job functions, and qualifications for the role. It may not include all essential functions, tasks, or requirements. If you are a qualified individual with a disability and you need reasonable accommodation during the hiring process or to perform this role, please contact us at candidateaccommodations@sunrun.com.
Sunrun is proud to be an equal opportunity employer that does not tolerate discrimination or harassment of any kind. We believe that empowering people and valuing their differences are essential for our mission of connecting people to the cleanest energy on earth. Learn more here: EEO | Sunrun</div>

Vice President, Strategic Finance & Analytics

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

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

Speechify

<div>The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading &ndash; PDFs, books, Google Docs, news articles, websites &ndash; into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.
Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting &ndash; Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You'll Do
<ul>
<li>Be scrappy to find new sources of audio data and bring it into our ingestion pipeline</li>
<li>Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.</li>
<li>Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.</li>
<li>Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team's dataset roadmap to power Speechify's next-generation consumer and enterprise products.</li>
</ul>
An Ideal Candidate Should Have
<ul>
<li>BS/MS/PhD in Computer Science or a related field.</li>
<li>5+ years of industry experience in software development.</li>
<li>Proficiency with bash/Python scripting in Linux environments</li>
<li>Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)</li>
<li>Experience with web crawlers, large-scale data processing workflows is a plus</li>
<li>Ability to handle multiple tasks and adapt to changing priorities.</li>
<li>Strong communication skills, both written and verbal.</li>
</ul>
What we offer
<ul>
<li>A fast-growing environment where you can help shape the company and product.</li>
<li>An entrepreneurial-minded team that supports risk, intuition, and hustle.</li>
<li>A hands-off management approach so you can focus and do your best work.</li>
<li>An opportunity to make a big impact in a transformative industry.</li>
<li>Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.</li>
<li>Opportunity to work on a life-changing product that millions of people use.</li>
<li>Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.</li>
<li>Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.</li>
</ul>
Compensation: The United States base salary range for this full-time position is $140,000-$200,000 + bonus + equity depending on experience

Think you're a good fit for this job?

Tell us more about yourself and why you're interested in the role when you apply.
 
And don't forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit?

Refer them!

Speechify is committed to a diverse and inclusive workplace.

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.</div>

Software Engineer, Data Infrastructure & Acquisition - San Francisco, CA, USA

banking.TOP

<div>
 Who We Are
 
 
 Notion is the collaborative AI workspace where teams and agents think together. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
 
 
 Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn&rsquo;t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business&rsquo;s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life&rsquo;s work.
 
 
 
 About The Role
 
 
 
 As an engineer at Notion, you&rsquo;ll help shape core user experiences and accelerate how people discover value in Notion. You'll tackle meaningful challenges with increasing autonomy, crafting code that millions of users will experience. You'll take ownership of projects that matter, make critical technical decisions, and contribute your unique perspective to our product vision. Working alongside passionate experts across design, product, and data, you'll help shape the future of how people work.
 
 
 We're looking for an Early Career AI Engineer to join as a strategic partner in shaping Notion's AI vision. You'll work on cutting-edge AI-powered features, leveraging LLMs, embeddings, and other AI technologies to make Notion more intelligent and capable.
 
 
 
 Role
 
 
 
 This role may be aligned to one of multiple AI-focused teams at Notion. Depending on team match and business needs, you could work on:
 
 
 <ul>
 <li>
 AI product engineering: building model-powered features end-to-end (UX, APIs, retrieval, orchestration, quality, and reliability)
 </li>
 <li>
 Model &amp; systems engineering: improving model integration and performance (latency, cost, safety, robustness) and building the infrastructure that supports model serving and experimentation
 </li>
 <li>
 Evaluation &amp; quality (evals): creating evaluation frameworks and automated/ human-in-the-loop testing to measure and improve model and product quality
 
 
 </li>
 </ul>
 What You&rsquo;ll Achieve
 
 
 <ul>
 <li>
 Partner with your team to prototype and ship an AI-powered product improvement
 </li>
 <li>
 Own a scoped productionization project: integrate a new model/technique into an existing workflow, add monitoring + guardrails, or improve latency/cost/reliability.
 </li>
 <li>
 Contribute to evals and iteration loops: build or extend an evaluation set, run experiments, analyze results, and translate learnings into product or system changes.
 
 
 </li>
 </ul>
 
 Skills You'll Need To Bring
 
 
 
 <ul>
 <li>
 You have less than two years of engineering experience. You have solid fundamentals in data structures, algorithms, and distributed systems, with a customer-minded, pragmatic approach to solving problems.
 </li>
 <li>
 Expertise building and prototyping: You&rsquo;re excited to build and iterate quickly, and you&rsquo;ve started exploring AI/ML through coursework, projects, internships, or hackathons. You&rsquo;re comfortable learning how different parts of a product fit together (UI, APIs, data), have some familiarity with relational databases like Postgres or MySQL, and can take an idea from prototype to a working feature with guidance.
 </li>
 <li>
 Thoughtful problem-solving: You approach problems holistically, starting with a clear and accurate understanding of the context. You think about the implications of what you're building and how it will impact real people's lives. You can navigate ambiguity successfully, decompose complex problems into clean solutions, while also balancing the business impact of what you&rsquo;re building.
 </li>
 <li>
 Impact-driven approach to technology: You see technologies as tools to achieve user impact rather than ends in themselves. You care more about building successful systems that solve real problems than about using specific tech stacks or following trends. You stay current with the latest tools like Cursor, Claude Code, and other AI-assisted development environments, you're pragmatic about choosing the right tool for the job, focusing on what delivers the most value to users and the business.
 </li>
 <li>
 Proactive communication and high agency: You own your work, communicating clearly about progress and blockers. You don't wait for instructions for every step but rather show initiative in identifying what needs to be done and driving projects forward. You ask questions when needed while independently finding solutions to problems.
 
 
 </li>
 </ul>
 Nice to Haves
 
 
 <ul>
 <li>
 You have experience with any part of our technology stack: React, TypeScript, Node.js, Postgres, and Elasticsearch.
 </li>
 <li>
 You care about the interaction between technology and society, the ways in which they inform each other, and our responsibility as technologists to be conscious of that relationship.
 </li>
 <li>
 You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others&mdash;and understand why we're big fans of their work.
 
 
 </li>
 </ul>
 Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role&rsquo;s scope and complexity, and the candidate&rsquo;s experience and expertise, and may vary from the range provided below. For roles based in San Francisco and New York, the estimated base salary range for this role is $130,000-$150,000.
 
 
 By clicking &ldquo;Submit Application&rdquo;, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion&rsquo;s Global Recruiting Privacy Policy.
 
 
 A Note on AI
 
 
 You don&rsquo;t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement &mdash; when that&rsquo;s the case, we'll say so explicitly in the qualifications. People who thrive here don&rsquo;t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
 
 
 Equal Opportunity &amp; Accommodations
 
 
 We hire talented people from a wide range of backgrounds. If you&rsquo;re excited about this role but don&rsquo;t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
 
 
 Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
 
 
</div>

Software Engineer, Early Career (AI)

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