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ai platform engineer

University of Chicago

<div>
 
 Department
 
 
 
 OPS ITS - Artificial Intelligence and Automation
 
 
 
 
 About The Department
 
 
 
 
 IT Services (ITS) collaborates with campus partners to support the mission of the University of Chicago through the consistent delivery of high-quality solutions and services. We provide secure, stable, and reliable infrastructure and applications that support the mission of the University. ITS supports and enables faculty research and teaching with the effective use of technology, simplifies the technology experience for all users, identifies, manages, and mitigates technology risks for the University.
 
 
 
 
 Job Summary
 
 
 
 
 The AI Platform Engineer provides the operational support of the University of Chicago&rsquo;s enterprise AI services. This position is responsible for the administration, governance support, compliance monitoring, adoption enablement, and workflow development for institutional AI platforms, beginning with Claude Enterprise.
 
 
 This is a hands-on individual contributor role that combines enterprise platform operations with policy support and campus enablement. The position works across organizational boundaries, coordinating with the CISO&rsquo;s office, the Chief Privacy Officer, General Counsel, and academic units to ensure AI services are secure, governed, and delivering institutional value. The role is designed to scale with Claude adoption and the University&rsquo;s AI portfolio. As new AI tools and capabilities emerge, this position supports the institutional intake process for evaluation, governance alignment, and operational integration.
 
 
 
 
 Responsibilities
 
 
 
 
 <ul>
 <li>
 Administers Claude Enterprise: SCIM provisioning lifecycle (onboarding, offboarding, role changes), connector management, feature flag decisions, admin console configuration, and SSO/IdP maintenance.
 </li>
 <li>
 Integrates and operates the Compliance API and audit log exports, including connection to the institutional SIEM where applicable.
 </li>
 <li>
 Monitors platform health, tracks Anthropic&rsquo;s status page and changelog, and evaluates new features and connectors for governance implications before campus enablement.
 </li>
 <li>
 Serves as the Tier 2/3 escalation point for AI platform issues beyond the help desk&rsquo;s scope.
 </li>
 <li>
 Supports the operational relationship with Anthropic&rsquo;s Technical Account Manager, including quarterly reviews, feature requests, and incident escalation.
 </li>
 <li>
 Produces monthly adoption reporting (MAU, connector usage, training completion, support volume) and maintains dashboards for leadership.
 </li>
 <li>
 Supports the faculty governance groups to provide input from the implementation effort and operations, such as prepare meeting materials, track written-response obligations, and process policy recommendations.
 </li>
 <li>
 Supports the institutional intake process for Claude and other AI tool requests (should we buy X?), working with IT Risk to review proposed tools against the governance framework.
 </li>
 <li>
 Maintains the shadow AI spend dashboard and tracks whether the consolidation thesis is delivering projected outcomes.
 </li>
 <li>
 Coordinates with the CISO and Chief Privacy Officer on compliance questions triggered by new AI features, regulatory changes, or platform incidents.
 </li>
 <li>
 Monitors peer institution AI governance developments, state and federal AI legislation, and regulatory guidance relevant to higher education, including FERPA, HIPAA, GLBA,and export controls.
 </li>
 <li>
 Works with the leaders of the training and enablement programs to develop, review and refresh content.
 </li>
 <li>
 Facilitates office hours (faculty and staff sessions) with other support personnel and coordinates Anthropic TAM participation in regular sessions.
 </li>
 <li>
 Works with University Communications to curate and grow the institutional use case library with department-specific examples, prompt templates, and before/after comparisons.
 </li>
 <li>
 Supports the champions network lifecycle through recruitment, engagement, feedback collection, and cohort rotation.
 </li>
 <li>
 Produces new-feature rollout communications when Anthropic releases capabilities that change product features or user workflows.
 </li>
 <li>
 Builds AI-enabled workflows and integrations for campus units using Claude Projects, MCP connectors, and API integrations to solve real operational problems.
 </li>
 <li>
 Prototypes and evaluates emerging capabilities (agentic workflows, Claude Code, new connector surfaces) for institutional applicability.
 </li>
 <li>
 Partners with departmental stakeholders to identify high-value automation opportunities, and translates them into working solutions.
 </li>
 <li>
 Documents workflow patterns and references architectures for campus reuse.
 </li>
 <li>
 Collaborates with device management teams to effectively manage Claude application deployment and management for campus users.
 </li>
 <li>
 Investigates, analyzes and resolves day-to-day technical problems using standard procedures.
 </li>
 <li>
 Works with stakeholders to gather and analyze requirements for developmental programs. Receives a moderate level of guidance to design applications to meet University and business requirements.
 </li>
 <li>
 Performs other related work as needed.
 
 
 </li>
 </ul>
 
 
 Education:
 
 
 
 
 
 Minimum Qualifications
 
 
 
 Minimum requirements include a college or university degree in related field.
 
 
 
 
 Work Experience:
 
 
 
 
 Minimum requirements include knowledge and skills developed through 2-5 years of work experience in a related job discipline.
 
 
 
 
 Certifications:
 
 
 
 
 
 Preferred Qualifications
 
 
 
 
 
 Education:
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in information technology, computer science, information science, public policy, or a related field.
 
 
 </li>
 </ul>
 
 
 Experience:
 
 
 
 
 <ul>
 <li>
 2&ndash;5 years of professional experience in IT operations, platform management, IT governance, or a comparable role that combined technical and policy work.
 </li>
 <li>
 Background drafting or contributing to policy documents, guidance materials, or governance frameworks in a professional setting.
 </li>
 <li>
 Background in higher education IT, academic administration, or a similarly decentralized institutional environment.
 
 
 </li>
 </ul>
 
 
 Technical Skills Or Knowledge:
 
 
 
 
 <ul>
 <li>
 Demonstrated ability to learn enterprise SaaS administration (SSO, SCIM, API integrations, admin consoles) through structured onboarding. Direct prior experience is not required; technical aptitude and a track record of learning complex systems quickly.
 </li>
 <li>
 Familiarity with data governance and compliance frameworks relevant to higher education, including FERPA, HIPAA, GLBA, and export controls.
 </li>
 <li>
 Proficient in enterprise AI platforms, such as Claude, ChatGPT Enterprise, Microsoft Copilot, or comparable, as an administrator or power user.
 </li>
 <li>
 Proficient in identity and access management systems, for example Shibboleth, Entra ID, Okta, or comparable platforms.
 </li>
 <li>
 Familiarity with API integration, scripting, or workflow automation tools.
 
 
 </li>
 </ul>
 
 
 Preferred Competencies
 
 
 
 
 <ul>
 <li>
 Strong written communication skills to produce clear guidance documents, meeting materials, and status reports for both technical and non-technical audiences.
 </li>
 <li>
 Work across organizational boundaries in a decentralized environment, coordinating with stakeholders who do not report to you.
 </li>
 <li>
 Comfortable operating with a moderate level of guidance and direction, with the judgment to escalate complex issues to senior staff as needed.
 </li>
 <li>
 Work with governance committees, advisory boards, or cross-functional working groups.
 </li>
 <li>
 The AI landscape is changing rapidly. This role requires a disposition toward continuous learning and comfort with ambiguity. The platforms, policies, and best practices this person manages will change materially year over year.
 
 
 </li>
 </ul>
 
 Working Conditions
 
 
 
 <ul>
 <li>
 Hybrid, onsite and remote work as determined by business needs.
 </li>
 <li>
 This position reports to the Office of Chief Technology Officer. The CTO provides escalation authority for cross-institutional coordination, such as CISO, General Counsel, Privacy Officer, and academic units.
 </li>
 <li>
 The role is structured with an intensive onboarding period during the initial platform deployment, approximately nine months, during which the engineer will shadow existing IAM and enterprise systems staff to learn platform-specific administration. The workload composition shifts from deployment-heavy to operations-and-development as the platform matures.
 
 
 </li>
 </ul>
 
 Application Documents
 
 
 
 <ul>
 <li>
 Resume/CV (required)
 </li>
 <li>
 Cover Letter (required)
 </li>
 <li>
 References Contact Information (3)(required)
 
 
 </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
 
 
 
 Information Technology
 
 
 
 Role Impact
 
 
 
 Individual Contributor
 
 
 
 Scheduled
 
 
 Weekly Hours
 
 
 
 37.5
 
 
 
 
 Drug Test Required
 
 
 
 
 No
 
 
 
 
 Health Screen Required
 
 
 
 
 No
 
 
 
 
 Motor Vehicle Record Inquiry Required
 
 
 
 
 No
 
 
 
 Pay Rate Type
 
 
 
 Salary
 
 
 
 FLSA Status
 
 
 
 Exempt
 
 
 
 Pay Range
 
 
 
 $120,000.00 - $135,000.00
 
 
 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>

AI Platform Engineer

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 is a shared engineer who builds and runs the platform every pod reuses: the pipelines, testing, deployment and monitoring, plus reusable building blocks so each new pod starts further ahead.<h1 class="jobSectionHeader">
Key Responsibilities</h1><ul><li>
Build and run the pipelines. CI/CD with automated testing across the pods.</li><li>
Provision the environments. Set up and run the environments the pods build in.</li><li>
Deploy and monitor. The models and agents the pods put into production.</li><li>
Set the standards. Technical and security standards every pod builds to.</li><li>
Build reusable parts. So each new pod starts further ahead than the last.</li></ul><h1 class="jobSectionHeader">
Preferred Qualifications</h1><ul><li>
Building internal developer platforms.</li><li>
AI testing and monitoring in production.</li><li>
Healthcare or higher education with data-security awareness (HIPAA, FERPA).</li><li>
AWS Machine Learning or DevOps, Azure AI-102, or Kubernetes (CKA).</li></ul><h1 class="jobSectionHeader">
General Required Skills</h1><ul><li>
5 to 8 years in ML or AI platform work or MLOps, including 1 to 2 years leading.</li><li>
Hands-on running AI systems in production.</li><li>
AWS and Azure, Docker, Kubernetes, infrastructure as code.</li><li>
Strong Python.</li><li>
Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience.</li></ul>
The estimated base salary for this job is $140,000 - $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 $161,000 - $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>

Platform Engineer, AI Capability Center Hub

Loop

<div>
 
 About Loop
 
 
 
 Loop is industrializing services through AI, starting with one of the world's most complex industries: the global supply chain. We're an AI-native company built to solve the systemic data problem that's held logistics back for decades. Our Logistics Data Platform turns fragmented, unstructured data into a trusted foundation that fuels automation, financial clarity, and decision intelligence at scale. Today, Loop serves &gt;20% of the Fortune 100, manages over $30B in supply chain spend, and helps its clients save hundreds of millions of dollars each year.
 
 
 We recently closed a $95M Series C and are backed by leading investors including Valor Equity Partners, Founders Fund, 8VC, Index Ventures, J.P. Morgan, and more than 50 industry-leading angel investors.
 
 
 Our team brings deep expertise from Uber, Google, Microsoft, Meta, Amazon, Flexport, C3 AI, VMware, Box, UPS, and C.H. Robinson and we're looking for builders who want to help shape what comes next.
 
 
 
 About The Role
 
 
 
 As an Analytics Engineer at Loop, you will play a pivotal role in maturing the data organization. You&rsquo;ll work cross-functionally across Engineering, Product, Design, Strategy &amp; Operations, and AI Platform teams to design, build, and own the core infrastructure and data models. These systems will enable both internal and client facing analytics, accelerating data-driven decision-making throughout the company and our clients.
 
 
 This is an in-person role based in our Chicago office with the expectation of being onsite 4+ days per week.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Own Core Data Models and ETL Pipelines: Design, build, and maintain Loop&rsquo;s core data models and ETL processes.
 </li>
 <li>
 Define Metrics and Governance: Establish and govern key business metrics for consistency across teams.
 </li>
 <li>
 Maintain Data Quality and Uptime: Ensure data accuracy and reliability with strong SLAs.
 </li>
 <li>
 Automate Data Requests: Convert ad-hoc data requests into scalable, repeatable pipelines.
 </li>
 <li>
 Optimize Data Infrastructure: Manage and optimize data infrastructure for performance, cost, and compliance.
 </li>
 <li>
 Develop Data Products: Create data-driven solutions and embedded analytics to support business and product teams.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 2+ years experience building analytical products (system, dashboard, models).
 </li>
 <li>
 Strong proficiency in SQL and Python for data transformations and automation.
 </li>
 <li>
 Hands-on experience with modern data stack tools (e.g., Snowflake, dbt, Dagster, Airflow, Looker).
 </li>
 <li>
 Excellent business communication skills to translate data insights into actionable business strategies.
 </li>
 <li>
 Experience with data dashboarding and visualization tools (e.g., Tableau, Looker, Superset, Mode).
 </li>
 <li>
 Ability to manage, optimize, and scale data infrastructure.
 
 
 </li>
 </ul>
 
 
 Nice to Have
 
 
 
 
 <ul>
 <li>
 Global supply chain experience in transportation and logistics.
 </li>
 <li>
 Previous experience setting up a data stack in a startup from scratch.
 </li>
 <li>
 Interest or experience in working with cutting-edge open-source data tool.
 </li>
 <li>
 Proven ability to convert ad-hoc data requests into scalable, automated pipelines.
 </li>
 <li>
 Experience working in the logistics domain.
 
 
 </li>
 </ul>
 
 Compensation And Benefits
 
 
 
 The base pay range for this role is $140,000 to $160,000 annually. This range reflects the base pay that Loop reasonably expects to pay for the position at the time of hire. Actual compensation will depend on job-related factors, including experience, skills, qualifications, location, and business needs.
 
 
 In addition to base salary, this role may be eligible for equity. This role is also eligible for Loop's benefits, including health, dental, and vision insurance, 401(k) match, paid time off, paid holidays, and parental leave.
 
 
 
 
 Equal Opportunity
 
 
 
 
 Loop is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by law.
 
 
 Why you should join Loop?
</div>

Analytics Engineer

FeverUp

<div><div>Hey there!
 
We're Fever, the world's leading tech platform for culture and live entertainment.

Our mission? To democratize access to culture and entertainment. With our proprietary cutting-edge technology and data-driven approach, we're revolutionizing the way people engage with live entertainment.
 
 
Every month, our platform inspires over 300 million people in +55 countries (and counting) to discover unforgettable experiences while also empowering event creators with our data and technology, helping them scale, innovate, and enhance their events to reach new audiences.

Our results? We've teamed up with major industry leaders like Netflix, F.C. Barcelona, and Primavera Sound, presented international award-winning experiences, and are backed by several leading global investors! Impressive, right?

To achieve our mission, we are looking for bar-raisers with a hands-on mindset who are eager to help shape the future of entertainment! 
 
Ready to be part of the experience?

Now, let's discuss this role and what you will do to help achieve Fever's mission.</div>
Meet The Team

At Fever's SEO team, we capture and influence demand when millions search for what to do next. We engineer visibility across the entire discovery ecosystem: traditional search engines, LLMs, local listings, third party integrations and beyond. Our diverse portfolio of ecosystems and operating companies gives us the scale and complexity to master every SEO specialization&mdash;from technical infrastructure and content architecture, to AI search optimization, local market dominance, and brand authority building. We operate globally, automating and optimizing processes to drive efficiency at scale. 
 
We combine data, technical excellence, and strategic thinking to drive organic growth revenue. Working closely with Product, Engineering, Data and Operational teams, we shape how users discover experiences across our global platforms. 
 
Join us to redefine how the world finds experiences, together.

The Role

At Fever, we're building something exceptional&mdash;combining strategy, creativity, and the power of advanced technology to redefine what's possible in organic search. By partnering with world-class Product, Engineering, Data and Marketing teams, we leverage cutting-edge tools and data-driven insights to deliver exceptional performance and measurable impact across major search engines and dynamic digital ecosystems.

As SEO Senior Strategist, you will own SEO strategy across key initiatives and projects within Fever's ecosystems, turning organic search into a measurable growth lever with a bias for fast testing and scalable execution. You'll act as a strategic reference for the wider SEO team.

What You&acute;ll Do
<ul>
<li>Design SEO strategies that build competitive advantage, prioritizing initiatives by their business impact on traffic, conversions, and revenue.</li>
<li>Identify high-value growth opportunities and build business cases by estimating impact, projected ROI, and resource requirements upfront.</li>
<li>Utilize a quick-testing, experiment-driven mindset to validate hypotheses and iterate rapidly, ensuring SEO solutions are scalable across all ecosystems.</li>
<li>Provide the technical foundation: guide information architecture, infrastructure and technical SEO decisions (crawling, indexing, CWV, structured data,etc).</li>
<li>Foster an &quot;AI-first&quot; mindset, utilizing automation and AI technologies to eliminate manual workflows at scale.</li>
<li>Lead high-impact SEO projects end-to-end, coordinating autonomously across Product, Engineering, Content and Marketing. Manage resources, timelines and trade-offs across multiple simultaneous initiatives.</li>
<li>Define KPIs, build dashboards, and run analyses (attribution, forecasting) to monitor, prioritize initiatives and quantify SEO's business impact.</li>
<li>Present results to stakeholders using effective storytelling, negotiate priorities, represent SEO in forums, define KPIs, and mentor specialists.</li>
</ul>
Who You Are
<ul>
<li>Proven experience as an SEO Strategist, at least 7 years working with high traffic websites (&gt;5M monthly visits)</li>
<li>Experience working with international sites, adapting the global SEO strategy according to the needs of local markets</li>
<li>Proactive or independent profile capable of self-management. Strong personal ownership,High level of initiative and work well in a team environment</li>
<li>Being data-driven and kind of a data-geek: clear understanding of data, analytics and metrics with the ability to make data-driven recommendations of actions</li>
<li>Hands-on experience applying AI/LLMs to build SEO solutions, automate workflows and enhance productivity.</li>
<li>Thorough knowledge of search engine ranking factors, including emerging LLM-powered search ecosystems (RAG, citations, query fan-out) and their optimization strategies</li>
<li>Knowledge of HTML, JS and CSS required</li>
<li>Critical thinker and problem-solving skills</li>
<li>Expert with industry-standard &amp; enterprise SEO software</li>
<li>Possess up-to-date knowledge and maintains current SEO practices</li>
<li>Excellent Spanish &amp; English written and oral communication skills</li>
</ul>
Valuable Requirements:
<ul>
<li>Understanding of Google Apps Script and Python.</li>
<li>Knowledge of SQL for data exploitation</li>
<li>Experience on workflows automation</li>
<li>Experience managing teams</li>
</ul>
Why You&acute;ll Love It Here
<ul>
<li>Attractive compensation package with room to grow.</li>
<li>40% discount on all Fever events and experiences + free Candlelight voucher.</li>
<li>Flexible remuneration with Cobee: meals, transport, training, and nursery support (tax-exempt).</li>
<li>Payflow: option to access part of your salary in advance.</li>
<li>Taxdown: help optimizing and filing your taxes. You can also pay for an upgrade to manage your Beckham Law application, along with other tax-related procedures.</li>
<li>Private health &amp; dental insurance with Cigna: 100% covered by Fever. You can also add your family members via flexible remuneration.</li>
<li>Wellhub membership for gym and wellness access: 100% covered by Fever up to the Silver plan.</li>
<li>Language learning support: English and Spanish lessons.</li>
<li>Hybrid work setup: home office friendly with a central Madrid office location.</li>
<li>Snacks, drinks, and fresh fruit are always available at the office.</li>
<li>Dynamic international team: a young, talented group creating a great work environment.</li>
</ul>
#LI-Hybrid<div>
Thank you for considering joining Fever. We cannot wait to learn more about you!

If you want to learn more about us: Fever's Blog | Tech.Eu |TechCrunch

Fever is committed to creating an inclusive and diverse workspace where everyone's background and ideas count. Our main goal is to find the best possible talent regardless of place of birth, racial or ethnic origin, gender, gender identity, religion, opinion, sexual orientation, disability, pregnancy, marital status, age or caring responsibilities. We encourage everyone to apply!

If you require any kind of accommodation during the selection process please contact our Talent team so we can help you by providing a welcoming and seamless journey.

If you want to know more about how Fever processes your personal data, click here Fever - Candidate Privacy Notice</div></div>

Senior SEO Strategist - Madrid based

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

<div>About Morningstar
<div>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
<div><div>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 P roduct M anager s, UX designers, and researchers to translate ideas into functioning prototypes.
</div><div>Success is measured by speed, feasibility validation, and actionable prototypes that can move downstream.
</div><div>What Success Looks Like:
</div><div><ul><li>Prototypes valida te advisor wo rkflows 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></div><div>Why This Role Matters
</div><div>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.
</div><div>Key Responsibilities
</div><div><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 val idate id eas before long-term engineering investment
</li></ul></div></div><div><div>Required Skills
</div><div><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></div><div>Qualifications
</div><div><ul><li>3&ndash;5 years of AI engineering experience
</li><li>Expert user of AI Coding tools like Claude Code and/or Cursor
</li><li>Expertise with Python, LLMs, prompt engineering, and AI framewor ks
</li><li>Ability to rapidly prototype with limited infrastructure
</li><li>Strong problem-solving and communication skills
</li></ul>Total Cash Compensation Range
$ 145,170&ndash;182,820 USD Annual
Inclusive of annual base salary and target incentive
</div></div></div>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>

AI Product Engineer

Copado

<div>About Copado 
 
Copado is the #1 DevOps Platform for Salesforce and the Cloud. We deliver an AI-enabled devops platform to enhance human&rsquo;s ability to orchestrate business application development in the agentic age to drive digital transformation for 1,500+ of the most innovative brands on the planet &mdash; from Coca-Cola to T-Mobile to Volkswagen. Our agentic platform unites non-technical admins and pro-code developers on the same system and empowers enterprises to scale end-to-end software delivery across multi-cloud environments. We operate in a dynamic and competitive industry and our consistent growth reflects our continued commitment to innovation and customer success. 
Role Overview
Copado is redefining how enterprises deliver software in the age of AI. As we scale Agentia and move toward a consumption-based model, customer adoption, advocacy, and proof are critical to our growth.
The Customer Marketing Manager will play a key role in building and scaling Copado&rsquo;s Customer Growth Engine&mdash;driving adoption, expansion, and customer advocacy across the lifecycle. This role sits at the intersection of Marketing, Customer Success, and Product, ensuring our customers not only succeed, but become our strongest proof in the market.
Key Responsibilities
Customer Growth &amp; Lifecycle Marketing<ul><li>
Design and execute lifecycle marketing programs across Onboarding, Adoption, and Expansion.</li><li>
Partner with Customer Success to drive product usage and engagement.</li><li>
Support consumption growth across the delivery lifecycle.</li></ul>
Customer Campaigns (Including 90/6 Program)<ul><li>
Own marketing execution of key customer initiatives, including the 90/6 upgrade campaign (in partnership with Customer Success), feature adoption campaigns, and release awareness and enablement.</li><li>
Goal: Drive customers to the latest versions, increase usage, and unlock value.</li></ul>
Customer Storytelling &amp; Content<ul><li>
Partner with Product, Product Marketing, Corporate Marketing, and Events to help coordinate, identify, and develop compelling customer-centric narratives aligned to:</li><li><div><ul><li>
The Agentia platform</li><li>
Key use cases</li><li>
Industry solutions</li></ul></div></li></ul>
Cross-Functional Collaboration<ul><li>
Work closely with key partners across Customer Success (primary partner), Product Marketing, Product, Advocacy, Demand Generation, and Sales.</li><li>
Ensure tight alignment between customer outcomes, marketing messaging, and revenue goals.</li></ul>
Customer Insights &amp; Feedback Loop<ul><li>
Capture customer insights and feedback to share learnings across Product, Marketing, and Sales.</li><li>
Help shape messaging, product roadmaps, and GTM strategy.</li></ul>
Qualifications<ul><li>
Experience: 5&ndash;8+ years in Customer Marketing, Lifecycle Marketing, or Customer Success Marketing within B2B SaaS or enterprise technology.</li><li>
Core Skills: Background in customer advocacy and storytelling, with strong cross-functional collaboration.</li><li>
Execution: Demonstrated ability to translate customer outcomes into compelling stories, manage multiple stakeholders, and execute programs end-to-end.</li></ul>
Success Metrics<ul><li>
Customer adoption and engagement metrics</li><li>
Expansion and upsell influence</li><li>
Number of customer stories and references</li><li>
Number of customer story opportunities identified and delivered to Advocacy Marketing</li><li>
Contribution to pipeline (via advocacy)</li><li>
90/6 campaign performance (upgrade rates)</li></ul>
What Great Looks Like<ul><li>
Strong partnership with Advocacy Marketing to surface customer success stories and champions.</li><li>
A consistent flow of high-quality customer proof opportunities.</li><li>
Increased product adoption and usage.</li><li>
A clear linkage between customer marketing and revenue impact.</li></ul>
Strategic Impact
This role directly supports:<ul><li>
Customer expansion and retention</li><li>
Agentia adoption and usage growth</li><li>
Sales pipeline through customer proof</li><li>
Category credibility in the market</li></ul>
Benefits 
 
Copado offers a comprehensive benefits package, which includes:<ul><li>
Competitive salary and performance-based bonuses.</li><li>
Comprehensive health, dental, and vision insurance.</li><li>
401(k) Plan</li><li>
Paid Time Off</li><li>
Wellness Perks</li></ul>
Copado is Equal Employment Opportunity and Affirmative Action Employers. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Copado does not accept unsolicited headhunter and agency resumes. Copado will not pay any third-party agency or company that does not have a signed agreement with Copado.
#LI-Onsite 
The pay range for this role is: 
100,000 - 120,000 USD per year(Chicago)</div>

Customer Marketing Manager

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