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Morningstar

<div>About Morningstar
Morningstar&rsquo;s mission is to empower investor success. The Direct Platform team does this by creating products that help financial professionals, and the investors they serve, achieve their financial goals. The Morningstar Direct Platform team is one of the largest business units that strive to give clients access to the data, analytics, and tools that help financial professionals be more efficient, innovative, and connect with their clients in a more meaningful way.
This role is based in our Chicago office, and we follow a hybrid policy of 4 days onsite. Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis.
Role Overview
We are seeking Forward-Deployed AI Engineers to rapidly prototype AI solutions in real-world advisor workflows. This role is embedded in our discovery team, working alongside Product Managers, UX designers, and researchers to translate ideas into functioning prototypes.
Success is measured by speed, feasibility validation, and actionable prototypes that can move downstream.
What Success Looks Like:
<ul><li>Prototypes validate advisor workflows quickly and reliably
</li><li>Downstream production engineers can operationalize prototypes with minimal friction
</li>Team moves from idea evidence<li> validated workflow efficiently
</li><li>Experiments reduce risk and uncertainty for AI product decisions
</li></ul>Why This Role Matters
Product minded forward-deployed engineers collapse the gap between concept and reality, enabling the team to make fast, evidence-based product decisions while reducing wasted effort downstream.
Key Responsibilities
<ul><li>Build and iterate AI prototypes for advisor workflows
</li><li>Integrate signals, models, and UX designs into working experiments
</li><li>Test feasibility and performance of AI behaviors in real workflow scenarios
</li><li>Collaborate closely with PMs, UX designers, and Research &amp; Signals Lead
</li><li>Capture technical learnings and provide handoff documentation for production teams
</li><li>Rapidly validate ideas before long-term engineering investment
</li></ul>Required Skills
<ul><li>AI prototyping &ndash; Ability to build working AI systems quickly
</li><li>Data integration &ndash; Connect signals, APIs, and datasets for prototypes
</li><li>Collaboration in cross-functional teams &ndash; Work side-by-side with PMs, UX, and researchers
</li><li>Experimentation and iteration &ndash; Rapidly test and refine ideas with user feedback
</li><li>Technical documentation &ndash; Clearly communicate prototype behavior and limitations
</li></ul>Qualifications
<ul><li>1-2 years of AI engineering experience
</li><li>Experience using AI Coding tools like Claude Code and/or Cursor
</li><li>Experience with Python, LLMs, prompt engineering, and AI frameworks
</li><li>Ability to rapidly prototype with limited infrastructure
</li><li>Strong problem-solving and communication skills
</li></ul>Total Cash Compensation Range
$85,000&ndash;144-510 USD Annual
Inclusive of annual base salary and target incentive
Compensation and Benefits
At Morningstar we believe people are at their best when they are at their healthiest. That&rsquo;s why we champion your wellness through a wide range of programs that support all stages of your personal and professional life. Here are some examples of the offerings we provide:
<ul><li>Financial Health
<ul><li>100% 401k match up to 6% of salary
</li></ul><ul><li>Stock Ownership Potential
</li><li>Company provided life insurance - 1x salary + commission
</li></ul></li><li>Physical Health
<ul><li>Comprehensive health benefits (medical/dental/vision) including potential premium discounts and company-provided HSA contributions (up to $500-$2,000 annually) for specific plans and coverages
</li><li>Additional medical Wellness Incentives - up to $300-$600 annual
</li><li>Company-provided long- and short-term disability insurance
</li></ul></li><li>Emotional Health
<ul><li>Trust-Based Time Off
</li><li>6-week Paid Sabbatical Program
</li><li>6-Week Paid Family Caregiving Leave
</li><li>Competitive 8-24 Week Paid Parental Leave
</li><li>Adoption Assistance
</li><li>Leadership Coaching &amp; Formal Mentorship Opportunities
</li><li>Annual Flex Stipend - $1000 annually to cover personal education &amp; well-being expenses
</li><li>Tuition Reimbursement
</li></ul></li><li>Social Health
<ul><li>Charitable Matching Gifts program
</li><li>Dollars for Doers volunteer program
</li><li>Paid volunteering days
</li><li>15+ Employee Resource &amp; Affinity Groups
</li></ul></li></ul>Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis. In most of our locations, our hybrid work model is four days in-office each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues.</div>

Associate AI Engineer

PayPal

<div>
 
 The Company
 
 
 PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy.
 
 
 We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers.
 
 
 We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade.
 
 
 Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do &ndash; and they push us to ensure we take care of ourselves, each other, and our communities.
 
 
 
 Job Summary:
 
 
 
 This job will validate and develop machine learning models and algorithms to solve complex problems. You will work closely with senior engineers, data scientists, and product teams to enhance services through innovative AI/ML solutions. Your role will involve building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences.
 
 
 
 Job Description:
 
 
 
 
 Essential Responsibilities:
 
 
 
 <ul>
 <li>
 Assist in the development and optimization of machine learning models.
 </li>
 <li>
 Preprocess and analyze datasets to ensure data quality.
 </li>
 <li>
 Collaborate with senior engineers and data scientists on model deployment.
 </li>
 <li>
 Conduct experiments and run machine learning tests.
 </li>
 <li>
 Stay updated with the latest advancements in machine learning.
 
 
 </li>
 </ul>
 
 Minimum Qualifications:
 
 
 
 <ul>
 <li>
 1+ years relevant experience and a Bachelor&rsquo;s degree OR Any equivalent combination of education and experience.
 </li>
 <li>
 Familiarity with ML frameworks like TensorFlow or scikit-learn.
 </li>
 <li>
 Strong analytical and problem-solving skills.
 
 
 </li>
 </ul>
 
 Additional Responsibilities &amp; Preferred Qualifications:
 
 
 
 
 Role And Responsibilities
 
 
 <ul>
 <li>
 Support the lead of the team in performing oversight of high-impact statistical model and AI applications in a variety of business function areas, including but not limited to fraud detection, credit underwriting, marketing analytics etc.
 </li>
 <li>
 Conduct quantitative and qualitative model validation according to Model Risk Management Policy to identify and understand model risk issues
 </li>
 <li>
 Collaborate with business units and model developers to remediate model issues and provide subject-matter expert opinion on model improvements
 </li>
 <li>
 Perform model and AI risk governance related activities in line with enterprise risk framework, to ensure PayPal&rsquo;s AI applications are compliant with ever evolving regulatory expectation such as Responsible AI.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 This position requires the ability and curiosity to learn various advanced modeling methods/AI techniques, covering a broader business function. This role also requires candidate to have the capability in building effective relationship with various stakeholders including business owners, model owners, model developers and control officers. The candidate must possess excellent communication, writing and presentation skills.
 
 
 <ul>
 <li>
 An advanced degree in a quantitative field, such as statistics, mathematics, computer science or engineering essential
 </li>
 <li>
 Advanced knowledge of statistical and machine learning models (e.g., logistic regression, time series analysis, random forests, SVMs, XGBoost, CNNs/RNNs)
 </li>
 <li>
 Possessing advanced coding skills in dealing with big data (e.g., Scikit-learn in Python, Tensorflow, Hadoop, Spark , SQL, etc.)
 </li>
 <li>
 Relevant Modeling experience in credit scoring, fraud detection, financial forecasting, or marketing analytics obtained either in academic or financial industry
 </li>
 <li>
 Ability to work effectively both independently and in a team environment
 </li>
 <li>
 Ability to communicate effectively and establish constructive relationship with stakeholders
 
 
 </li>
 </ul>
 
 Subsidiary:
 
 
 
 PayPal
 
 
 
 Travel Percent:
 
 
 
 0
 
 
 The base pay for this role will depend on where you work and the relevant experience and expertise you bring. The expected range of pay for this role by location is:
 
 
 
 Primary Location : Pay Range:
 
 
 
 Chicago, Illinois : ($117,500.00 - $174,350.00 Annually)
 
 
 
 Additional Location(s) : Pay Range:
 
 
 
 Austin, Texas : ($117,500.00 - $174,350.00 Annually)
 
 
 Additional compensation for this role may include an annual performance bonus, equity, or other incentive compensation, as applicable.
 
 
 PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. When making an application directly, we will never ask you to share passwords, one-time passcodes (OTP), or verification codes. Any such request is a red flag and likely part of a scam. All communication regarding your application will come from official PayPal email domains. If you suspect fraudulent activity, please report it immediately. To learn more about how to identify and avoid recruitment fraud please visit https://careers.pypl.com/contact-us.
 
 
 For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.
 
 
 
 Our Benefits:
 
 
 
 At PayPal, we&rsquo;re committed to building an equitable and inclusive global economy. And we can&rsquo;t do this without our most important asset-you. That&rsquo;s why we offer comprehensive, choice-based programs, to support all aspects of personal wellbeing&mdash;physical, emotional, and financial&mdash;delivering meaningful value where it matters most. We strive to create a flexible, balanced work culture with a holistic approach to benefits, including generous paid time off, healthcare coverage for you and your family, and resources to create financial security and support your mental health.
 
 
 
 Who We Are:
 
 
 
 Click Here to learn more about our culture and community.
 
 
 
 Commitment to Diversity and Inclusion
 
 
 
 PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com.
 
 
 
 Belonging at PayPal:
 
 
 
 Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.
 
 
 Any general requests for consideration of your skills, please Join our Talent Community.
 
 
 We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don&rsquo;t hesitate to apply.
</div>

Machine Learning Engineer

Capital One

<div>Senior Lead Data Engineer
Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Senior Lead Data Engineer, you&rsquo;ll have the opportunity to be on the forefront of driving a major transformation within Capital One.
What You&rsquo;ll Do:
<ul><li>Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies
</li><li>Lead a team of developers with deep experience in machine learning, distributed microservices, and full stack systems
</li><li>Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake
</li><li>Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal &amp; external technology communities, and mentoring other members of the engineering community
</li><li>Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
</li><li>Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance
</li></ul>Basic Qualifications:
<ul><li>Bachelor&rsquo;s Degree
</li><li>At least 6 years of experience in application development (Internship experience does not apply)
</li><li>At least 2 years of experience in big data technologies
</li><li>At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)
</li></ul>Preferred Qualifications:
<ul><li>Master's Degree
</li><li>9+ years of experience in application development including Python, SQL, Scala, or Java
</li><li>4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)
</li><li>5+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)
</li><li>4+ year experience working on real-time data and streaming applications
</li><li>4+ years of experience with NoSQL implementation (Mongo, Cassandra)
</li><li>4+ years of data warehousing experience (Redshift or Snowflake)
</li><li>4+ years of experience with UNIX/Linux including basic commands and shell scripting
</li><li>2+ years of experience with Agile engineering practices
</li><li>Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion
</li></ul>Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
Chicago, IL: $209,000 - $238,500 for Sr. Lead Data Engineer 
 
 
 
 
 
 
 
 
 
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.
No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</div>

Senior Lead Data Engineer

metropolis

<div><h3 class="jobSectionHeader">Who we are</h3>

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy &mdash; a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it.
<h3 class="jobSectionHeader">
Who you are</h3>

Metropolis is seeking a Revenue Economics Analyst to join our revenue engine at a pivotal moment in the company's growth. In this role, you will evaluate deal structure, shape pricing strategy, and build sophisticated financial models that directly inform how we scale. This is a high-impact, cross-functional position embedded within our Revenue Operations organization, working hand-in-hand with Sales leadership and our SVPs of Sales to drive GTM performance. You will serve as a trusted analytical partner&mdash;translating complex data into clear, actionable insights that inform margin decisions, revenue outcomes, capital planning, and overall deal health. If you are energized by solving hard problems at the intersection of finance, strategy, and sales operations, this role is for you.
<h3 class="jobSectionHeader">
What you'll do</h3>
<ul><li>Build and review proformas for organic and existing deals across our national portfolio, ensuring financial rigor and strategic alignment</li>
<li>Develop and expand underwriting models by integrating internal and external data insights, enabling sales leaders to execute more informed GTM strategies</li>
<li>Quantify and communicate the tangible impact of Metropolis technology for clients and internal stakeholders, turning data into compelling business cases</li>
<li> Collaborate directly with sales and operations leaders to establish best practices for underwriting and asset management</li>
<li> Stress test asset performance against potential macro and micro economic scenarios, surfacing risks and opportunities proactively</li>
<li> Implement automation solutions that streamline workflows and increase GTM efficiency across the revenue organization</li>
<li>Lead ad-hoc analyses, reports, and projects that support revenue generation and strategic decision-making</li>
<li>Translate GTM insights into cross-functional recommendations that inform strategy at every level of the organization</li>
<li>Drive continuous improvement and innovation, contributing meaningfully to the company's growth and competitive positioning</li>
</ul><h3 class="jobSectionHeader">What we're looking for</h3>
<ul><li>Proven experience working across complex sales cycles and workflows, with an understanding of how revenue organizations operate</li>
<li>Progressive accounting and finance background, including hands-on experience reviewing and interpreting P&amp;L statements</li>
<li>Strong financial modeling skills with the ability to transform and synthesize data across multiple sources using leading visualization platforms</li>
<li>Exceptional analytical and problem-solving ability&mdash;you can translate complex datasets into clear, actionable insights</li>
<li>Outstanding communication and interpersonal skills, with a track record of collaborating effectively across departments and seniority levels</li>
<li>Proficiency with Salesforce, Tableau, and other automation tools used to improve process efficiency and reporting accuracy</li>
<li>A growth mindset and intellectual curiosity&mdash;you are energized by ambiguity and motivated to build scalable solutions in a fast-moving environment</li>
<li>Experience leveraging AI tools to transform static workflows into responsive, high-output processes</li>
</ul>
4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection

When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $85,000.00 USD to $95,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis' total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans, and more. #LI-KD1 #LI-Onsite<div>
Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate's application relative to the required job qualifications and responsibilities listed in the job posting.

As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records.

Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.</div></div>

Revenue Economics Analyst

Follett Corporation

<div><div>Company Overview:

Everything we do is for educators. We're partnering with them to advance a bold vision for education that boosts district performance and student success. At Follett Software, we empower educators across roles with technology that streamlines processes and manages information and resources to improve their schools, increase student success, and drive the future of education. We believe that by empowering educators to amplify their impact on students' lives, we can change the world. Our goal and mission is to drive the future of education. We are inspired by educators to deliver transformative technology. Our innovative, connected solutions simplify challenges and offer a seamless and intuitive experience.</div> 

<div>
<div><div><div>POSITION SUMMARY</div></div><div> 
<div>
This position leads the definition and design of intuitive, accessible, and outcome-driven product experiences across Follett Software's portfolio, setting the bar for design quality, modeling strong product design practice, and influencing how the team approaches discovery, framing, and delivery. The Senior Product Designer is a core part of the product trio and partners closely with Product Managers and Engineers to understand educator workflows, frame the right problems, and deliver solutions that are valuable to customers, usable in the real world, feasible to build, and effective for the business. As a senior contributor, this designer also helps shape design team standards, mentors designers, and brings strategic perspective to complex, ambiguous problems across the portfolio.

This role carries elevated product design accountability. The Senior Product Designer is expected to shape discovery, workflows, interaction models, usability, and experience quality from concept through launch, while influencing how the broader team approaches design quality, tradeoffs, and decision-making. Success in this role requires sophisticated judgment, deep collaboration, comfort with ambiguity, and a pragmatic mindset that values speed, learning, and iteration over perfection.

This role also contributes to modern AI-enabled product work, including trust patterns, fallback behavior, prompt-aware experiences, and the responsible use of AI tools to accelerate research, synthesis, prototyping, and design iteration while maintaining strong human accountability.</div></div> 
</div>
</div><div><div><div><div>POSITION SCOPE</div></div><div> 
<div>
<ul><li>Lead product design end-to-end for complex, high-impact initiatives, often spanning multiple products or platform-level concerns, collaborating with product management and engineering to identify the right customer problems, shape the experience approach, and deliver solutions that create measurable value.</li><li>Bring clear product design accountability by driving user understanding, workflow clarity, interaction quality, usability validation, and experience tradeoffs in close partnership with Product Managers and Engineers.</li><li>Work pragmatically and move with speed, using the appropriate level of fidelity for the problem, favoring progress and learning over perfection, and iterating quickly based on evidence from research, analytics, prototypes, and feedback, and model this approach for the broader design team by sharing frameworks and heuristics that help others make better tradeoffs.</li><li>Create the design artifacts needed to move work forward, including flows, wireframes, prototypes, high-fidelity designs, and handoff specifications, while applying and helping evolve Follett design standards, accessibility expectations, and shared components, raising the bar for artifact quality, handoff clarity, and documentation standards across the team.</li><li>Partner closely with Product Management &amp; Engineers from early discovery through build and QA to ensure solutions are feasible, well-scoped, and executed with high fidelity to validated design intent.</li><li>Drive the definition of modern experience patterns for AI-enabled features, including trust signals, disclosure patterns, uncertainty states, fallback behavior, and other interaction choices that improve clarity and user confidence.</li><li>Champion a strong cross-functional product culture by leading critiques, running design reviews, coaching other designers, and establishing team norms that support shared problem solving and post-launch iteration, always balancing user needs, business goals, and delivery realities.</li><li>Mentor and support junior and mid-level designers through feedback, pairing, critique facilitation, and informal coaching, helping grow design capability and consistency across the team.</li><li>Identify systemic experience problems, gaps in design standards, or workflow inconsistencies across the portfolio, and proactively propose and lead efforts to address them.</li></ul></div></div> 
</div>
</div><div><div><div><div>QUALIFICATIONS</div></div><div> 
<div>
<ul><li>Bachelor's degree or equivalent experience in Product Design, UX Design, Human-Computer Interaction, Interaction Design, Graphic Design, Psychology, or a related field, with 5+ years of relevant product design experience required, including a portfolio demonstrating leadership on complex, multi-stakeholder initiatives.</li><li>Demonstrated ability to contribute to and evolve design systems, including advocating for new patterns, driving governance, and ensuring cross-product consistency at scale.</li><li>Demonstrated experience designing digital product experiences in a SaaS, platform, or workflow-heavy software environment, with a strong portfolio showing problem framing, workflow design, interaction design, visual design, and shipped product outcomes.</li><li>Strong ability to work as part of a product trio (Product Design, Product Management, and Engineering), collaborating effectively with Product Managers and Engineers to discover, design, ship, and improve products, including the ability to influence how the trio operates by pushing for earlier design involvement, stronger discovery practices, and better decision documentation.</li><li>Proficiency with Figma and modern design and collaboration tools, along with experience using AI tools responsibly to accelerate research synthesis, ideation, prototyping support, and design iteration.</li><li>Experience conducting or synthesizing usability testing, customer research, behavioral analytics, and other product signals to inform decisions and improve experiences before and after launch.</li><li>Expert understanding of information hierarchy, interaction design, and accessibility, including the ability to set accessibility standards for a team and advocate for inclusive design practices with engineering and product partners, and exceptional communication skills for explaining rationale, tradeoffs, and recommendations across Product, Engineering, GTM, and leadership audiences.</li><li>Experience working on platform-level or multi-product design challenges where decisions have broad downstream impact, and a track record of influencing strategy through design-led discovery.</li><li>Demonstrated ability to lead design critiques, establish feedback norms, and coach other designers informally or formally, contributing to a culture of craft, learning, and high standards.</li></ul></div></div> 
</div>
</div><div><div><div><div>WORK ENVIRONMENT</div></div> 
<div>
<div><ul><li>This role is remote and only open to candidates currently located in the United States and able to work without sponsorship.</li>
<li>It requires a suitable space that provides a private and quiet workplace.</li>
<li>Work hours and schedules are set to accommodate the requirements of the position and the needs of the organization and may be adjusted as needed.</li></ul></div> 
</div> 
</div></div><div><div><div><div>PHYSICAL REQUIREMENTS</div></div> 
<div>
<div><ul><li>Perform tasks in a home office environment with frequent virtual meetings, communications, and interruptions, requiring effective time management and prioritization.</li>
<li>Prolonged sitting with sustained visual focus on digital screens, requiring the ability to interact at a typical working distance.</li>
<li>Frequent use of keyboard and mouse, involving repetitive hand movements and fine motor skills for typing, navigating, and handling materials.</li>
<li>Occasionally adjust position or move within the workspace to reach, retrieve, or access items, involving bending, twisting, or reaching, and occasionally lifting or carrying items weighing up to 10 pounds.</li>
<li>Travel requirements: Minimal (less than 10%)</li></ul></div> 
</div> 
</div></div>This job description is intended to convey information essential to understanding the scope of the job and the general nature and level of work performed by job holders within this job. However, this job description is not intended to be an exhaustive list of qualifications, skills, efforts, duties, responsibilities or working conditions associated with the position. Duties, responsibilities, and activities may change at any time with or without notice. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the job.

At Follett Software, our people come first. 
We're deeply committed to supporting the well-being, growth, and success of every Team Member. That commitment shows up in a thoughtfully designed, comprehensive benefits package that helps you thrive&mdash;at work and in life. Here's what you can expect:
<ul>
<li>Fully remote work, giving you the flexibility to do your best work from anywhere in the continental U.S. (unless otherwise noted)</li>
<li>Subsidized healthcare plans, including orthodontic coverage, with HSA option that includes employer matching</li>
<li>Company-paid disability and life insurance, with the option to enhance coverage through voluntary plans</li>
<li>Robust Paid Time Off, including Flex PTO for salaried roles, paid parental leave, company holidays, and paid volunteer service time</li>
<li>Retirement savings with employer match, vesting every pay period</li>
<li>Flexible Spending Accounts for healthcare and dependent care</li>
<li>Optional supplemental coverages, such as accident, hospital, and critical illness insurance, identity theft and credit monitoring, and legal protection services</li>
<li>Meaningful recognition and tangible rewards that celebrate achievements, fuel motivation, and recognize both individual and team success</li></ul><div> 
EEO

Follett Software provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability. We are committed to providing reasonable accommodations to, among others, individuals with disabilities and disabled veterans. If you are interested in applying for employment and need assistance or an accommodation in the application process due to a disability, please contact us by email and let us know the nature of your request and your contact information.

 Email: recruiting@follettsoftware.com

CCPA Notice for California Residents: https://follettsoftware.com/wp-content/uploads/2024/10/Notice-to-California-Applicants.pdf</div></div>

Senior Product Designer

Huron Consulting Group

<div>Huron is redefining what a global consulting organization can be. Advancing new ideas every day to build even stronger clients, individuals and communities. We&rsquo;re helping our clients find new ways to drive growth, enhance business performance and sustain leadership in the markets they serve. And, we&rsquo;re developing strategies and implementing solutions that enable the transformative change they need to own their future. 
 
As a member of the Huron corporate team, you&rsquo;ll help to evolve our business model to stay ahead of market forces, industry trends and client needs. Our accounting, finance, human resources, IT, legal, marketing and facilities management professionals work collaboratively to support Huron&rsquo;s collective strategies and enable real transformation to produce sustainable business results. 
 
Join our team and create your future.
This person keeps the North American pods on schedule and the requirements clear so the Solution Architect and engineers can build. Part business analyst, part scrum master.<h1 class="jobSectionHeader">
Key Responsibilities</h1><ul><li>
Keep requirements clear. Gather them, write them down, and keep them current, including the Definition of Ready and Definition of Done and the acceptance criteria.</li><li>
Run the cadence. Planning, standups, reviews, and retros on a four-week cycle.</li><li>
Remove blockers. Manage risks and clear the path for the pod.</li><li>
Own the relationship. The day-to-day business relationship on the pod's engagements.</li><li>
Show the value. Keep executives informed on what has been delivered.</li></ul><h1 class="jobSectionHeader">
Preferred Qualifications</h1><ul><li>
Consulting delivery.</li><li>
AI or software builds.</li><li>
Healthcare or higher education.</li><li>
Scrum (CSM or PSM), PMP, CBAP (BABOK), or SAFe.</li></ul><h1 class="jobSectionHeader">
General Required Skills</h1><ul><li>
5 to 8 years in business analysis, delivery, or agile project management, including 1 to 2 years leading.</li><li>
Strong Scrum and facilitation.</li><li>
A strong communicator, credible with executives.</li><li>
Bachelor's degree or equivalent experience.</li></ul>
The estimated base salary for this job is $145,000 - $170,000 USD. The range represents a good faith estimate of the range that Huron reasonably expects to pay for this job at the time of the job posting. The actual salary paid to an individual will vary based on multiple factors, including but not limited to specific skills or certifications, years of experience, market changes, and required travel. This job is also eligible to participate in Huron&rsquo;s annual incentive compensation program, which reflects Huron&rsquo;s pay for performance philosophy. Inclusive of annual incentive compensation opportunity, the total estimated compensation range for this job is $166,750 - $218,750 USD. The job is also eligible to participate in Huron&rsquo;s benefit plans which include medical, dental and vision coverage and other wellness programs. The salary range information provided is in accordance with applicable state and local laws regarding salary transparency that are currently in effect and may be implemented in the future.
#LI-REMOTE
#LI-CL1<h2 class="jobSectionHeader">
Position Level</h2>
Manager<h2 class="jobSectionHeader">
Country</h2>
United States of America</div>

Engagement Manager, Senior (North America), AI Capability Center

The University of Chicago

<div>Department
BSD CTD - Data Science 
About the Department
The Center for Translational Data Science (CTDS) at the University of Chicago is a research center whose mission is to develop the discipline of translational data science to impactful problems in biology, medicine, healthcare, and the environment. We envision a world in which researchers have ready access to the data needed and the tools required to make data driven discoveries that increase our scientific knowledge and improve the quality of life. We architect ecosystems of large-scale commons of research data, computing resources, applications, tools, and services for the broader research community to use data at scale to pursue scientific inquiry and accelerate discovery. Learn more at https://gdc.cancer.gov/ https://gen3.org/ https://stats.gen3.org/ and https://ctds.uchicago.edu/. 
Job Summary
The Center for Translational Data Science at the University of Chicago is seeking a Staff Data Scientist to support a diverse range of research projects. Data Scientists work in a collaborative interdisciplinary team and play a critical role in AI/ML tooling, features, and improvements for our open-source software systems and applications, analyzing data, and in understanding and representing user requirements to internal and external stakeholders in our translational data science projects and products. Under the leadership of team or project leads, a person in this position will be a key contributor to the design and implementation of algorithms, AI/ML models, and workflows to enable the discovery of valuable information in large volumes of data from various sources; organizes, harmonizes, and analyzes data sets and develops tools to assist such processes; uses various technologies to visualize data or enable data visualization; and creates applications of general value to the project and product owners. The job uses best practices and advanced knowledge of data manipulation, statistical applications, programming, analysis and modeling in order to implement projects related to the University's various internal data systems as well as from external sources. 
 
This at-will position is wholly or partially funded by contractual grant funding which is renewed under provisions set by the grantor of the contract. Employment will be contingent upon the continued receipt of these grant funds and satisfactory job performance.
Responsibilities<ul><li>
Leading the Interpretation of data from multiple sources.</li><li>
Developing and implementing software programs and services, software notebooks and software scripts for data transformation, data integration, data analysis and data visualization.</li><li>
Building, validating and evaluating AI/ML models.</li><li>
Contributing to and taking a leadership role in the enhancement and maintenance of previously developed in-house open-source data platforms, systems, applications and notebooks.</li><li>
Performing various types of analysis involving multiple data sets.</li><li>
Leading data science projects and initiatives within purview, by relaying data analysis and model deployment best practices, enhancing the technical knowledge of peers, and helping develop data science skills in junior employees and interns.</li><li>
Leading the conceptualization, design, and execution of sophisticated data science projects and AI/ML solutions for research and production environments.</li><li>
Establish and enforce data governance, quality assurance processes, and operational protocols for large, complex data sets from internal and external sources.</li><li>
Assisting in providing leadership for design of user-facing computational resources.</li><li>
Serving as a reference for staff, faculty members, and Gen3 users as a technical subject matter expert by applying principles of data science to define and scope data science projects that involve developing computational tools and services for data engineering, data manipulation, statistical analysis, and modeling.</li><li>
Collaborating closely with faculty, researchers, and stakeholders to translate scientific and user requirements into actionable data science strategies and solutions.</li><li>
Stay current with developments in data science, machine learning, artificial intelligence, and related fields, and adopt new methods and technologies to advance research goals.</li><li>
Communicate complex technical concepts and project results clearly to technical and non-technical audiences, and present findings at internal and external forums.</li><li>
Has a deep understanding of methods to analyze complex data sets for the purpose of extracting and purposefully using applicable information. May develop and maintain infrastructure that connects data sets.</li><li>
Guides staff or faculty members in defining the project and applies principals of data science in manipulation, statistical applications, programming, analysis and modeling.</li><li>
Calibrates data between large and complex research and administrative datasets. Guides and may set the operational protocols for collecting and analyzing information from the University's various internal data systems as well as from external sources.</li><li>
Performs other related work as needed.</li></ul> 
Minimum Qualifications
Education:
Minimum requirements include a college or university degree in related field. 
Work Experience:
Minimum requirements include knowledge and skills developed through 5-7 years of work experience in a related job discipline. 
Certifications:
-
Preferred Qualifications
Education:<ul><li>
Advanced degree in Computer Science, Data Science, Statistics, Mathematics, Bioinformatics, or a relevant quantitative field.</li></ul>
Experience:
<ul><li>Experience working in data science roles, preferably in an academic, research, or health/science environment.</li><li>
Experience with collaborative open-source projects and software engineering best practices.</li><li>
Experience working in multi-disciplinary academic teams.</li><li>
Knowledge of biomedical and translational research data sources is a significant advantage.</li><li>
Knowledge of hardware specifications required for AI/ML research and projecting resource needs and use in public clouds environments like AWS and GCP.</li><li>
Knowledge of and experience with data and applications of interest to CTDS, including, but not necessarily limited to, AI data commons, AI data meshes, Gen3, NCI Genomic Data Commons, cancer genomics, biomedical imaging data, human clinical data.</li><li>
Expertise in designing and implementing machine learning, deep learning, and statistical models for research and production.</li><li>
Experience with biomedical data.</li><li>
Experience collaborating on manuscripts and submitting papers for peer-reviewed, scientific publications.</li></ul>
Preferred Competencies<ul><li>
Advanced skills in problem solving and quantitative/qualitative analysis.</li><li>
Able to organize and prioritize work assignments to meet project needs and work independently to identify and address needs beyond assigned tasks.</li><li>
Strong communication skills to effectively convey complex findings while serving as a reference and subject matter expert for staff, faculty members, and Gen3 users.</li><li>
Ability to quickly comprehend requirements and assignments and then explain his/her solutions in both writing and speech.</li><li>
Ability to learn new skills quickly and manage complex projects.</li><li>
Proficiency in Python, R, and other relevant programming languages; experience with open-source data science platforms, technologies, and cloud environments.</li><li>
Outstanding analytical, problem-solving, and project management abilities.</li><li>
Proven track record mentoring and leading project teams and communicating technical issues to diverse audiences.</li><li>
Excellent written and verbal communication skills.</li></ul>
Working Conditions<ul><li>
Hybrid office/remote.</li></ul>
Application Documents<ul><li>
Resume/CV (required)</li><li>
Cover Letter (preferred)</li></ul> 
The University of Chicago uses AI-assisted tools to streamline and augment some recruitment processes; however, AI is not used to make hiring decisions. 
 
When applying, the document(s) MUST be uploaded via the My Experience page, in the section titled Application Documents of the application. 
Job Family
Research 
Role Impact
Individual Contributor 
Scheduled Weekly Hours
40 
Drug Test Required
No 
Health Screen Required
No 
Motor Vehicle Record Inquiry Required
No 
Pay Rate Type
Salary 
 
FLSA Status
Exempt 
 
Pay Range
$90,000.00 - $120,000.00
The included pay rate or range represents the University&rsquo;s good faith estimate of the possible compensation offer for this role at the time of posting. 
Benefits Eligible
Yes
The University of Chicago offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off. Information about the benefit offerings can be found in the Benefits Guidebook. 
Posting Statement
The University of Chicago is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, or expression, national or ethnic origin, shared ancestry, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination. 
Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via Applicant Inquiry Form. 
All offers of employment are contingent upon a background check that includes a review of conviction history. A conviction does not automatically preclude University employment. Rather, the University considers conviction information on a case-by-case basis and assesses the nature of the offense, the circumstances surrounding it, the proximity in time of the conviction, and its relevance to the position. 
The University of Chicago's Annual Security &amp; Fire Safety Report (Report) provides information about University offices and programs that provide safety support, crime and fire statistics, emergency response and communications plans, and other policies and information. The Report can be accessed online at: http://securityreport.uchicago.edu. Paper copies of the Report are available, upon request, from the University of Chicago Police Department, 850 E. 61st Street, Chicago, IL 60637.</div>

Staff Data Scientist & AI Researcher

Explore 59+ Data engineers in Chicago this August. Find roles across top companies and apply now to boost your career.