ai enablement lead

ai engineer

ai operations associate

ai product analyst

applied ai ml associate

JPMorganChase

<div><b>JOB DESCRIPTION</b><p><br>
As part of the Commercial &amp; Investment Bank, J.P. Morgan Payments enables organizations of all sizes to execute transactions efficiently and securely, transforming the movement of information, money and assets. We tackle complex challenges at every stage of the payment lifecycle and our industry-leading solutions facilitate seamless transactions across borders, industries and platforms. Operating in over 160 countries and handling more than 120 currencies, we are the largest processor of USD payments, with a daily transaction volume of $10 trillion.</p><p>
As a Associate Applied AI/ML Scientist within our Payment Solutions team, you will be instrumental in utilizing artificial intelligence and machine learning technologies to augment our payment solutions and stimulate business expansion. Your role will involve researching, experimenting, developing, and transitioning high-quality machine learning models, services, and platforms into production to streamline payment processes, bolster fraud detection, and enrich customer experience. You will also be tasked with designing and executing highly scalable and dependable data processing pipelines, conducting analysis, and deriving insights to boost and optimize business outcomes. Working in collaboration with cross-functional teams, you will identify opportunities for AI/ML applications within the payments ecosystem.</p><p><b>
Job Responsibilities:</b></p><ul>
<li>Actively collaborate with Product, Technology, and other cross-functional teams to gain a deep understanding of complex business problems and formulate data-driven solutions to address these challenges in key areas of the payments&rsquo; domain.</li>
<li>Design, develop, and deploy machine learning and AI solutions that meet success metrics aligned with business goals, while considering constraints such as model complexity, scalability, and latency.</li>
<li>Partner with Risk and Compliance teams to ensure comprehensive model documentation, track performance metrics, and maintain adherence to regulatory compliance standards.</li>
<li>Translate model outcomes into business impact metrics and communicate complex concepts to senior management and stakeholders.</li></ul><p><b>
Required qualifications, capabilities, and skills:</b></p><ul>
<li>Master&rsquo;s degree in a quantitative discipline (e.g., Computer Science, Data Science, Mathematics/Statistics, or Operations Research) with a minimum of 2 years of industry experience. Experience with Shell Scripting, Jupyter notebook/Lab, SQL, PySpark, and AWS Cloud Services is required.</li>
<li>2+ years of hands‑on experience with large‑scale data processing on AWS EMR, building robust batched feature stores (offline/online pipelines, schema governance, backfills, reproducibility), and orchestrating SageMaker training, pipelines, and model registry for production ML.</li>
<li>Proficient in Python with hands-on experience in Machine learning and Deep learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., NumPy, Scikit-Learn, Pandas). Experience with Jupyter Notebook/Lab is essential.</li>
<li>1+ years of extensive experience in Natural Language Processing (NLP) or Large Language Models (LLM), AgenticAI, and 3+ years of extensive experience in other machine learning techniques, including classification, regression algorithms.</li>
<li>Solid Understanding of algorithms in machine learning, AI, and neural network, including Large Language Models (LLM) and Generative AI as well as familiarity with state-of-the-art practices and advancements in these domains.</li>
<li>Proficient in both basic and advanced exploratory data analysis (EDA), with an understanding of the limitations and implications of different methodologies.</li>
<li>Ability to set the analytical direction for projects, transforming vague business questions into structured analytical plans. You possess strong cognitive and communication skills, characterized by clear and articulate expression. You excel at identifying core issues, bringing order to chaos, synthesizing insights, and driving decisive outcomes.</li></ul><p><b>
Preferred Qualifications, capabilities and skills</b></p><ul>
<li>Experience in the financial services industry, particularly within investment banking operations.</li>
<li>Cloud computing: Amazon Web Service, Azure, Docker, Kubernetes, DataBricks, Snowflakes.</li>
<li>Trust &amp; Safety (T&amp;S) fraud experience in payments, designing and deploying ML models for account takeover, transaction fraud, promotion abuse</li></ul>
<b>ABOUT US</b><br>
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><p></p><div><p>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
</p><div><p>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</p>
<p>JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans</p><br>
</div></div></div><br>
<br>
<b>ABOUT THE TEAM</b><br>
<br>
J.P. Morgan&rsquo;s Commercial &amp; Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial &amp; Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.</div>

Applied AI/ML Associate

Sargent & Lundy

<div>Description:
<p>
Sargent &amp; Lundy is a leading consulting engineering firm specializing in the power and energy sectors. Since 1891, we have provided comprehensive engineering, design, and consulting services for both traditional and renewable power generation, grid modernization, nuclear power, and beyond. Our mission is to help clients achieve their energy goals effectively by leveraging advanced technologies and adopting sustainable practices.</p><p>
We are seeking an AI &amp; Automation Developer to join our Enterprise Data &amp; Analytics team. This role is central to our growing AI/Automation capability and will serve as a hands-on technical partner to business groups across the organization. The ideal candidate brings demonstrated experience in both artificial intelligence and process automation, with a proven ability to assess feasibility, design solutions, and deliver measurable outcomes that create efficiencies and solve real business problems.</p><p>
As an AI &amp; Automation Developer, you will work directly with business stakeholders to understand their challenges, evaluate whether AI, automation, or a combination of both is the right approach, and then design and deliver end-to-end solutions. This is a growth-oriented role for those passionate about using AI and automation to drive impact in the power and energy sector.</p><p><b>
Key Responsibilities</b></p><p><b>
Business Engagement &amp; Feasibility Assessment</b></p><ul><li>
Partner directly with business groups to identify pain points, inefficiencies, and opportunities for AI and automation solutions.</li><li>
Conduct structured feasibility assessments for proposed initiatives, evaluating technical viability, data readiness, integration complexity, expected ROI, and organizational readiness.</li><li>
Translate business problems into clearly defined technical requirements, solution approaches, and delivery plans.</li></ul><ul><li>
Present findings, recommendations, and solution options to both technical and non-technical stakeholders, ensuring alignment on scope, value, and approach.</li><li>
Contribute to the intake and prioritization process for AI/automation demand across business groups, helping shape the portfolio backlog.</li></ul><p></p><p><b><br>
AI Solution Development</b></p><ul><li>
Research, design, and develop AI-driven solutions and software applications for internal and client-facing needs.</li><li>
Develop and deploy natural language processing (NLP), computer vision, generative AI, and other AI capabilities as applicable to business use cases.</li><li>
Implement retrieval-augmented generation (RAG) patterns, prompt engineering strategies, and AI agent architectures to deliver intelligent automation solutions.</li><li>
Ensure robust, high-quality data for model training and software features by building validation checks and monitoring systems.</li><li>
Document model lineage, decision processes, and software dependencies; continually validate performance against business objectives.</li></ul><p></p><p><b><br>
Automation &amp; Efficiency</b></p><ul><li>
Design and implement automation solutions using RPA tools, scripting, workflow platforms, and low-code/no-code technologies (e.g., Power Automate, UiPath, or similar).</li><li>
Identify and automate repetitive business processes, boosting productivity and reliability across teams.</li><li>
Develop integration solutions that connect enterprise systems, APIs, and data sources to enable end-to-end automated workflows.</li><li>
Monitor, maintain, and optimize deployed automations to ensure sustained performance and reliability.</li></ul><p></p><p><b><br>
Software Development &amp; Code Quality</b></p><ul><li>
Develop production-grade code for automation, analytics, and user interfaces, ensuring scalability, reliability, and maintainability.</li><li>
Use rigorous software development practices&mdash;clear source control (Git), code review cycles, effective documentation, modular code organization, and adherence to coding standards.</li><li>
Implement robust automated testing (unit, integration, system tests) for both AI and broader software solutions, contributing to high code quality and continuous delivery.</li><li>
Follow a disciplined software development lifecycle (SDLC): requirements analysis, design, development, testing, deployment, and maintenance.</li><li>
Lead or participate in post-mortems to identify root causes of incidents and implement lessons learned in future releases.</li></ul><div></div><p><b><br>
Collaborative Development &amp; Cross-Functional Engagement</b></p><ul><li>
Work closely with engineers, analysts, and IT to identify business problems that can be solved through AI or enhanced by automation.</li><li>
Collaborate with multidisciplinary teams&mdash;including data scientists, data engineers, business analysts, and subject matter experts&mdash;to deliver comprehensive solutions.</li><li>
Act as a bridge between technical and non-technical teams, helping stakeholders understand how software and AI solutions deliver business value.</li><li>
Participate actively in agile sprint planning, collaborating across functions to align releases with business needs.</li></ul><p></p><p><b><br>
Data Quality, Ethics &amp; Governance</b></p><ul><li>
Support responsible AI and software principles, including transparency, data privacy, and bias mitigation.</li><li>
Adhere to S&amp;L&rsquo;s AI governance frameworks, ensuring all solutions comply with security, data privacy, and regulatory requirements.</li><li>
Contribute to thorough documentation of system design, testing, deployment, and ongoing auditing to ensure traceability.</li></ul><p></p><p><b><br>
Strategic Support &amp; Professional Growth</b></p><ul><li>
Share AI and automation best practices with colleagues, contributing to mentoring and team-wide knowledge growth.</li><li>
Stay current on evolving trends in AI/ML, RPA, cloud computing, generative AI, and agentic AI; propose new tools and methodologies to improve team output.</li><li>
Support leadership in strategic planning through technical insights from prototypes, pilots, and production deployments.</li><li>
Contribute to the selection, integration, and long-term maintenance of cloud-based AI and software services, prioritizing security and system performance.</li></ul><div></div><p><b><br>
This position offers the flexibility of a hybrid schedule with the expectation of 3 days per week in our downtown Chicago office, and 2 days remote from home.</b></p>
Qualifications:
<p><b>
Required Qualifications</b></p><ul><li>
Bachelor&rsquo;s degree in Computer Science, Engineering, Data Science, or a related technical field.</li><li>
3+ years of professional experience developing and deploying AI/ML solutions and automation/RPA solutions in a business environment.</li><li>
Demonstrated experience across both AI/ML (e.g., TensorFlow, PyTorch, scikit-learn, LLMs) and process automation (e.g., RPA, Power Automate, scripting, workflow tools).</li><li>
Proven ability to work directly with business stakeholders to assess feasibility, gather requirements, and translate business problems into technical solutions.</li><li>
Strong proficiency in software development (Python preferred), with hands-on experience building production-grade applications.</li><li>
Familiarity with professional software development workflows: Git-based source control, branching strategies, code review, and effective team collaboration on shared codebases.</li><li>
Experience writing and maintaining automated tests, debugging, and software troubleshooting.</li><li>
Exposure to agile development methodologies (Scrum, Kanban), CI/CD practices, and collaborative development environments.</li><li>
Basic experience deploying cloud services and APIs for AI workloads (AWS, Azure, or Google Cloud).</li><li>
Understanding of machine learning workflow: data preparation, model training, evaluation, and deployment, alongside best practices in software delivery.</li><li>
Strong analytical and problem-solving capabilities with a demonstrated ability to assess business processes and identify automation opportunities.</li><li>
Excellent communication skills for explaining technical information to both technical and non-technical audiences.</li><li>
Ability to adapt to evolving technology landscapes and work collaboratively in multidisciplinary teams.</li></ul><div></div><p><b><br>
Preferred Qualifications</b></p><ul><li>
Experience with generative AI, large language models (LLMs), prompt engineering, and AI agent frameworks.</li><li>
Experience with enterprise integration patterns, APIs, and connecting disparate business systems.</li><li>
Familiarity with data engineering concepts (ETL/ELT, data pipelines, data warehousing).</li><li>
Experience in the power, energy, nuclear, engineering, or professional services industry.</li><li>
Experience conducting structured opportunity assessments, business case development, or cost-benefit analysis for technology initiatives.</li><li>
Certifications in AI/ML, RPA (e.g., UiPath, Microsoft Power Platform), or cloud platforms (AWS, Azure, GCP).</li><li>
Knowledge of data governance, responsible AI principles, and regulatory compliance for sensitive or regulated industries.</li></ul><p></p><p><b><br>
Key Attributes for Success</b></p><ul><li><b>
Consultative Mindset:</b> Naturally engages with business teams to understand the &ldquo;why&rdquo; behind requests, asks the right questions, and proposes solutions that address root causes.</li><li><b>
Dual-Skilled:</b> Equally comfortable building an ML model and designing an automated workflow; understands when to apply AI, when to apply automation, and when to combine both.</li><li><b>
Ownership &amp; Follow-Through:</b> Takes end-to-end responsibility for solutions from initial assessment through deployment and ongoing optimization.</li><li><b>
Bias Toward Action:</b> Moves things forward with urgency and purpose; doesn&rsquo;t let ambiguity stall progress. Actively seeks out opportunities to improve how work gets done.</li><li><b>
Collaborative &amp; Influential:</b> Builds trust across teams and stakeholders; can navigate complex organizational dynamics with professionalism and clarity.</li><li><b>
Curious &amp; Growth-Oriented:</b> Stays current with rapidly evolving AI and automation trends; brings new ideas and approaches to the team.</li><li><b>
Resilient &amp; Adaptable:</b> Thrives in a fast-paced, evolving environment; stays composed under pressure and pivots when circumstances change.</li></ul><div></div><p><b><br>
We do not sponsor employees for work authorization in the U.S. for this position.</b></p><br>
<p></p>
Award-Winning Benefits:
<p>
At Sargent &amp; Lundy, we care about the health and well-being of our employees. Our commitment extends beyond the workplace, offering comprehensive healthcare plans and generous paid time off to support our team members in every aspect of their lives. We understand the importance of work-life balance, which is why we are proud to provide competitive, award-winning benefits. Our dedication to employee satisfaction has earned us the prestigious Top Workplaces Culture Excellence Award for compensation and benefits in 2022, 2023, and 2024.</p><p></p><div><div><div><b><br>
Health &amp; Wellness</b></div><div><b> Financial Benefits</b></div><div><b> Work-Life Balance</b></div></div><br>
<div><ul><li>
Health Plans: Medical, Dental, Vision</li><li>
Life &amp; Accident Insurance</li><li>
Disability Coverage</li><li>
Employee Assistance Program (EAP)</li><li>
Back-Up Daycare</li><li>
FSA &amp; HSA</li></ul><ul><li>
401(k)</li><li>
Pre-Tax Commuter Account</li><li>
Merit Scholarship Program</li><li>
Employee Discount Program</li><li>
Corporate Charitable Giving Program</li><li>
Tuition Assistance</li><li>
First Professional Licensure Bonus</li><li>
Employee Referral Bonus</li></ul><ul><li>
Paid Annual Personal/Sick Time (PST)</li><li>
Paid Vacation</li><li>
Paid Holidays</li><li>
Paid Parental Leave</li><li>
Paid Bereavement Leave</li><li>
Flexible Work Arrangements</li></ul></div><br>
</div>
Compensation Range: $70,510.00 - $103,820.00 Transparency Statement: Sargent &amp; Lundy discloses compensation ranges that comply with all local and state regulations. The total compensation package for eligible positions will include a base salary or an hourly rate and a comprehensive benefits package, reflecting our commitment to rewarding performance and supporting the overall well-being of our employees. Individuals may also be eligible to participate in our yearly discretionary bonus. Awards &amp; Recognition:
<div></div>
Equal Opportunity:
<div>
Sargent &amp; Lundy is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability status, protected veteran status, or any protected status as defined by applicable law.</div></div>

Artificial Intelligence & Automation Engineer

Alignerr

<div>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 We&rsquo;re looking for entrepreneurship instructors to help evaluate AI systems trained on startups, innovation, and business planning.
 <br/>
 <br/>
 <ul>
  <li>
   Organization: Alignerr (Powered by Labelbox)
  </li>
  <li>
   Location: Remote
  </li>
  <li>
   Type: Hourly / Task-based Contract
  </li>
  <li>
   Compensation: $35-70 /hour
  </li>
  <li>
   Commitment: 10-40 hours/week
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You&rsquo;ll Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Review startup and entrepreneurship scenarios used in AI training.
  </li>
  <li>
   Assess business models, assumptions, and go-to-market logic.
  </li>
  <li>
   Identify unrealistic projections or flawed reasoning.
  </li>
  <li>
   Provide structured feedback to improve practical relevance.
  </li>
  <li>
   Work independently and asynchronously to meet project deadlines.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Who You Are
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3+ years of experience teaching entrepreneurship or small business.
  </li>
  <li>
   Strong understanding of business models and early-stage decision-making.
  </li>
  <li>
   Able to critically evaluate written business plans and scenarios.
  </li>
  <li>
   Comfortable providing applied, real-world feedback.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Nice to Have
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   MBA or entrepreneurship-focused graduate degree.
  </li>
  <li>
   Founder or startup advisory experience.
  </li>
  <li>
   Familiarity with AI or content evaluation workflows.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Why Join Us
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Competitive pay and flexible remote work.
  </li>
  <li>
   Lead a team working on cutting-edge AI projects.
  </li>
  <li>
   Exposure to advanced LLMs and how they&rsquo;re trained.
  </li>
  <li>
   Freelance perks: autonomy, flexibility, and global collaboration.
  </li>
  <li>
   Potential for contract extension.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Application Process (Takes 10-15 min)
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Submit your resume
  </li>
  <li>
   Complete a short screening
  </li>
  <li>
   Project matching and onboarding
   <br/>
   <br/>
  </li>
 </ul>
 <em>
  PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
 </em>
</div>


Entrepreneurship Instructor (AI Training)

Sidley Austin

<div>Summary:
<p>
The Product Manager is strategic, data-driven, and customer-centric role that will be responsible for supporting product vision and strategy, maintaining and executing roadmaps, and delivering features that solve customer problems and align with business goals. The Product Manager will be responsible for stakeholder engagement and backlog refinement in coordination with senior team members. The ideal candidate will bring a balance of strategic thinking and tactical execution, ensuring alignment with department and practice priorities.</p>
Duties and Responsibilities:
<ul><li>Contribute to and help execute the product strategy and roadmap for AI-powered practice solutions in alignment with the group and department goals.</li><li>
Maintain, communicate and provide feedback on the roadmap for assigned products, balancing near-term customer needs with established long-term team and department vision.</li><li>
Maintain working knowledge of AI/ML technologies as well as product delivery processes and practices to inform product decisions and foster innovation.</li><li>
Monitor customer feedback and AI trends to inform backlog priorities and suggest incremental improvements.</li><li>
Support key lifecycle activities for AI products, including requirements definition, delivery readiness and execution as well as product iteration.</li><li>
Define and prioritize product features based on customer needs, market research, and technical feasibility.</li><li>
Coordinate with cross-departmental teams to ensure seamless delivery of AI projects.</li><li>
Collaborate with key stakeholders to understand their AI workloads, pain points, and future requirements.</li><li>
Help track and report on agreed KPIs and success metrics; support stakeholder reviews of outcomes.</li><li>
Engage with stakeholders to gather insights and feedback on AI solutions.</li><li>
Ensure that AI-driven products address real-world problems and provide measurable value.</li><li>
Develop creative solutions and make improvements to processes, programs, and policies to enhance the effectiveness and efficiency of AI-driven products.</li><li>
Follow and reinforce responsible AI development practices to ensure ethical, transparent, and fair usage of AI technologies.</li></ul><div>
Salaries vary by location and are based on numerous factors, including, but not limited to, the relevant market, skills, experience, and education of the selected candidate. If an estimated salary range for this role is available, it will be provided in our Target Salary Range section. Our compensation package also includes bonus eligibility and a comprehensive benefits program. Benefits information can be found at Sidley.com/Benefits.</div>
Target Salary Range: $135,000 &ndash; $150,000 if located in Illinois Qualifications:
<div>
To perform this job successfully, an individual must be able to perform the Duties and Responsibilities (Duties) above satisfactorily and meet the requirements below. The requirements listed below are representative of the minimum knowledge, skill, and/or ability required. Reasonable accommodations will be made to enable individuals with disabilities to perform the essential functions of the job. If you need such an accommodation, please email sidleytalentacquisition@sidley.com (current employees should contact Human Resources).</div><div><br>
</div><div>Education and/or Experience:
</div><div>Required:</div><ul><li>
Bachelor&rsquo;s degree in Business, Engineering, Computer Science or related field
</li><li>A minimum of 5 years product management or product development experience</li><li>
Experience with agile methodologies and product management tools</li><li>
Demonstrated ability to make data-driven decisions</li><li>
Demonstrated track record of identifying process improvement opportunities and implementing innovative solutions that improve efficiency, quality, or stakeholder experience</li></ul><div>
Preferred:</div><ul><li>
Experience coming from or building a strong product culture within an organization</li><li>
Demonstrated ability to transition organizations into product-oriented cultures, shifting mindsets from project delivery to sustainable product thinking</li><li>
AI literacy and direct experience launching AI-enabled products or features</li></ul><div>
Other Skills and Abilities:</div><div>
The following will also be required of the successful candidate:</div><ul><li>
Strong organizational skills</li><li>
Strong attention to detail</li><li>
Good judgment</li><li>
Strong interpersonal communication skills</li><li>
Strong analytical and problem-solving skills</li><li>
Able to work harmoniously and effectively with others</li><li>
Able to preserve confidentiality and exercise discretion</li><li>
Able to work under pressure</li><li>
Able to manage multiple projects with competing deadlines and priorities</li></ul><p>
Sidley Austin LLP is an Equal Opportunity Employer</p><p>
#LI-Hybrid</p><p>
#LI-HM1</p></div>

Product Manager

Miller Cooper & Co., Ltd.

<div><h1 class="jobSectionHeader"><b>Retirement Plan Associate (Entry Level)</b></h1><h2 class="jobSectionHeader"><b>
Alliance Pension Consultants, LLC</b></h2><p><b>
Hybrid | Full-Time</b></p><h2 class="jobSectionHeader"><b>
What You Will Be Doing:</b></h2><p>
The <b>Retirement Plan Associate</b> is responsible for processing client-provided files, including census updates, employee contributions and loan payments. Additional duties include distribution processing, loan initiation, statement production, data entry and preparation, assembly of reports and administrator support. This entry‑level role is ideal for someone looking to start a career in the retirement plan industry.</p><p>
In this role, you will collaborate with internal teams on the day-to-day maintenance of retirement plans. You&rsquo;ll learn retirement plan procedures, payroll processing and withdrawal processing.</p><h3 class="jobSectionHeader"><b>
Key Responsibilities:</b></h3><h4 class="jobSectionHeader"><b><i>
Payroll Processing</i></b></h4><ul><li>
Processing client-provided data files.</li><li>
Process and allocate deposits pursuant to participant elections.</li><li>
Verify that payroll file matches deposit amounts received.</li><li>
Monitor trust accounts for timely receipt of deposits.</li></ul><h4 class="jobSectionHeader"><b><i>
Withdrawal/Loan Requests</i></b></h4><ul><li>
Confirm withdrawal type requested is available to the participant.</li><li>
Review received paperwork for completeness.</li><li>
Verify proper state and federal withholding is applied.</li><li>
Request payment timely.</li><li>
Prepare and review loan packages.</li></ul><h4 class="jobSectionHeader"><b><i>
Ongoing Administrator Support</i></b></h4><ul><li>
Assist with quarterly participant statement production.</li><li>
Reconcile employee census data.</li><li>
Reconcile trust cash accounts.</li><li>
Gather documentation for plan audits.</li></ul><div><p>
</p></div><h2 class="jobSectionHeader"><b>Our Ideal Candidate Has:</b></h2><h3 class="jobSectionHeader"><b>
Education</b></h3><ul><li>
Bachelor&rsquo;s degree is required. (Business, Finance, Economics, Math, or related fields are a plus.)</li></ul><h3 class="jobSectionHeader"><b>
Skills</b></h3><ul><li>
Ability to work in a team environment.</li><li>
Proficiency in Microsoft Excel (basic formulas, spreadsheet navigation).</li><li>
Strong verbal and written communication skills.</li><li>
High attention to detail and accuracy.</li><li>
Ability to manage multiple tasks and deadlines.</li><li>
Curiosity, eagerness to learn, and comfort working in a fast-paced environment.</li></ul><div><p>
</p></div><h2 class="jobSectionHeader"><b>Additional Information</b></h2><ul><li><b>
Salary Range:</b> $22.75 per hour<br>
Final compensation depends on experience, education, skills, and internal equity.</li><li><b>
Location:</b> Primarily remote with occasional onsite requirements at office locations including Chicago, Deerfield and Downers Grove, IL.</li><li><b>
Training:</b> Full training provided with opportunities for growth into Plan Administration roles.</li></ul></div>

Retirement Plan Associate

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
This position is part of the AWS Specialist and Partner Organization (ASP). Specialists own the end-to-end go-to-market strategy for their respective technology domains, providing the business and technical expertise to help our customers succeed. Partner teams own the strategy, recruiting, development, and growth of our key technology and consulting partners. Together they provide our customers with the expertise and scale needed to build innovative solutions for their most complex challenges.<br>
<br>
Our vision in the Applied AI Solutions Go-To-Market team is to be a leading provider of AI and Agentic business applications, leveraging Amazon&rsquo;s unique experience and expertise, used by millions of companies around the world to manage their day-to-day operations. Our mission is to accelerate our customers&rsquo; businesses by delivering intuitive and differentiated technology solutions that solve enduring business challenges. We approach this challenge by blending vision with curiosity, and Amazon&rsquo;s real-world experience, to build opinionated, turn-key solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use.<br>
<br>
We are seeking an experienced and strategic-minded Senior Tech BD to join the Applied AI Solutions GTM acceleration team and work closely with senior leaders, to ensure that we are aligned and working as single organization to achieve our strategic goals. This role will be pivotal in driving the successful implementation of key strategic initiatives and ensuring alignment with overall business objectives, to achieve our vision as a single organization.<br>
<br>
This function will Accelerate the Applied AI Solutions GTM strategy and growth (as defined by our Operating Plan) through strategic initiatives that transform our organizational capability and operational excellence. This position requires a strong understanding of the internal AWS and external Partner business dynamics, AWS field enablement and planning processes, the ability to make important data-driven decisions, and bias for action to implement strategies that enhance performance with speed.<br>
<br>
You must be uncomfortable with status quo, curious about new programs and initiatives impacting our customers, partners, and employees, and possess the ability to ask the right questions. This function needs to have a bias for action, make informed decisions, demonstrating a proactive approach to projects and tasks. You must be comfortable taking risks and raising the bar for new ways of doing things. Strong analytical, Think Big, Invent &amp; Simplify skills are crucial for success in this position.<br>
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Key job responsibilities<br>
1. Field Enablement Strategy &amp; Execution Lead the development and execution of a comprehensive AAIS portfolio enablement strategy, ensuring alignment with GTM objectives, service team priorities, and field scaling goals across AWS's global sales organization.<br>
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2. Enablement Tooling &amp; Content Infrastructure Own and optimize AWS enablement tools (including Alchemy) for AAIS content management, ensuring high-quality, accessible, and AI-augmented resources that empower field teams to engage customers with speed and confidence.<br>
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3. Enablement Measurement Architecture &amp; Analytics Strategy Lead the design and ownership of comprehensive measurement frameworks that define, track, and evaluate field enablement effectiveness across the full AAIS portfolio &mdash; establishing the analytical foundation, including KPIs, data models, and reporting infrastructure, that connects enablement inputs (training completions, content consumption, tool adoption) to business outcomes (pipeline generation, win rates, revenue acceleration, and partner performance).<br>
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4. Scalable Analytics &amp; Self-Service Intelligence Build and operationalize scalable analytics solutions that surface actionable insights across enablement program impact, training effectiveness, and resource utilization across the AWS Partner Network. Develop self-service analytics capabilities &mdash; including dashboards and automated reporting &mdash; that empower field teams, partners, and GTM leaders to make data-driven decisions independently and at scale.<br>
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5. Predictive Modeling &amp; GTM Intelligence Develop predictive models and trend analyses that proactively identify enablement gaps, forecast field readiness, and surface revenue acceleration opportunities. Translate complex analytical findings into executive-ready narratives that drive strategic decisions for L8&ndash;L10+ stakeholders and inform GTM strategy and partner ecosystem development.<br>
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6. Data-Driven Culture &amp; Thought Leadership Champion a culture of data-driven decision-making through thought leadership, strategic guidance, and the democratization of analytics. Define and govern the analytical standards and methodologies that ensure consistent, credible measurement across all enablement programs and regions.<br>
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7. Field Feedback Loops &amp; Continuous Improvement Create and manage structured feedback loops between field teams, product development, and GTM leadership &mdash; using quantitative and qualitative data signals &mdash; to continuously improve enablement effectiveness, content quality, and program relevance across the AAIS portfolio.<br>
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8. Cross-Functional Alignment &amp; AWS Field Scaling Integration Partner with cross-functional teams &mdash; including Marketing, Training, Service teams, WWFE, and GTM leadership &mdash; to ensure aligned messaging, measurement strategies, and maximum resource utilization across all enablement initiatives, while driving integration with existing AWS field scaling programs and identifying AAIS-specific enhancements.<br>
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About the team<br>
Diverse Experiences<br>
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AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.
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Why AWS?<br>
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Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.<br>
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Inclusive Team Culture<br>
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AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.<br>
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Mentorship &amp; Career Growth<br>
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We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
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Work/Life Balance<br>
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We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve.</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>5+ years of developing, negotiating and executing business agreements experience</li><li>Bachelor's degree</li><li>Experience developing strategies that influence leadership decisions at the organizational level</li><li>Experience managing programs across cross functional teams, building processes and coordinating release schedules</li><li>3+ years of Go-To-Market, Business Development, Sales, or Consulting experience</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience interpreting data and making business recommendations</li><li>MBA</li><li>Experience with technology transformation initiatives</li><li>Experience with sales enablement platforms</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
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Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
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Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
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Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, CA, Mountain View - 162,700.00 - 220,200.00 USD annually<br>
USA, CA, San Francisco - 162,700.00 - 220,200.00 USD annually<br>
USA, IL, Chicago - 147,900.00 - 200,100.00 USD annually<br>
USA, NY, New York - 162,700.00 - 220,200.00 USD annually<br>
USA, VA, Herndon - 147,900.00 - 200,100.00 USD annually<br>
USA, WA, Seattle - 147,900.00 - 200,100.00 USD annually</div><p></p>

GTM Acceleration Lead, Applied AI Solutions

Renterra

<div>
 <strong>
  About Renterra
  <br/>
  <br/>
 </strong>
 Renterra is a Series A&ndash;backed SaaS company modernizing the $100B+ equipment rental industry. We serve hundreds of rental businesses across the U.S. and Canada and are building a modern platform that helps them run better, faster, and smarter.
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 <br/>
 As we scale, we&rsquo;re investing more in how we show up visually: across product launches, social media, events, and more. We want a hungry, marketing content associate who is excited to join a growing team and assist with marketing efforts.
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 <br/>
 <strong>
  The Role
  <br/>
  <br/>
 </strong>
 As a Marketing Content &amp; Design Associate, you&rsquo;ll create much of the visual, video, and social content that represents Renterra to the world.
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 This is a hands-on, execution-focused role. You&rsquo;ll work closely with the CEO, product, and customer teams to turn features, updates, and ideas into clear, high-quality marketing assets using modern tools.
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 <br/>
 <strong>
  What You&rsquo;ll Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Create product and marketing videos (feature demos, release videos, short-form social clips)
  </li>
  <li>
   Design graphics for social, events, conference booths, and merchandise
  </li>
  <li>
   Own day-to-day social content creation and posting
  </li>
  <li>
   Help coordinate feature launches and product announcements
  </li>
  <li>
   Assist with writing and polishing blog posts and short marketing articles
  </li>
  <li>
   Use AI-native design and video tools to improve speed and quality
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What We&rsquo;re Looking For
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Extremely strong graphic design and video editing skills
  </li>
  <li>
   Experience with tools like Figma, Adobe Creative Suite, Premiere, CapCut, or similar
  </li>
  <li>
   Some experience using AI-native design or video tools
  </li>
  <li>
   Comfortable managing social media content
  </li>
  <li>
   Organized, detail-oriented, and reliable
  </li>
  <li>
   Excited to learn and grow in an early-stage environment
  </li>
  <li>
   Must be Chicago-based and able to work in-office in a hybrid capacity
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   <br/>
  </li>
 </ul>
 <strong>
  Why Renterra
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Competitive compensation
  </li>
  <li>
   Health, dental, and vision insurance
  </li>
  <li>
   Flexible PTO
  </li>
  <li>
   A highly visible, high-impact role
   <br/>
   <br/>
  </li>
 </ul>
 Compensation Range: $45K - $65K
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</div>


Junior Marketing Content Associate

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