Product Designer (San Francisco)

Join to apply for the Product Designer role at Listen Labs . tl;dr We're hiring a Product Designer to turn complex, week-long consulting projects into elegant, simple experiences powered by AI. If you love rethinking products from the ground up, turning complexity into beauty, and obsessing over every detail, we should talk. Background Every company wants to be customer‑obsessed, but traditional research methods are slow, manual, and expensive. Listen Labs automates the entire research workflow using AI: finding participants, conducting interviews, analyzing responses, and creating deliverables in hours instead of weeks. We partner with companies like Google, Microsoft, Canva, and Anthropic and have raised $27M from Sequoia, Conviction, and Pear. Design and UX are core to our product’s success. We're using AI to simplify highly complex manual processes, and need to invent entirely new UX patterns. Role Responsibilities Go deep into the details of the product and decide how they will be implemented. Collaborate closely with our world‑class engineering team to find new solutions. Simplify complex products into intuitive, elegant experiences with AI. About You Exceptional taste. Deeply product‑minded, driven by customer needs. Obsessive attention to detail. Creative thinker. Seniority level Entry level. Employment type Full‑time. Job function Design, Art/Creative, and Information Technology. Industries Technology; Information and Internet. Location: San Francisco, CA. Referrals increase your chances of interviewing at Listen Labs by 2x. Salary range: $105,000 - $250,000. J-18808-Ljbffr

Machine Learning Engineer (Malden)

This range is provided by Alsym Energy. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range $130,000.00/yr - $215,000.00/yr Direct message the job poster from Alsym Energy Alsym Energy is seeking a Machine Learning Scientist or Engineer to design, build, and deploy agentic AI systems that actively support scientific discovery. This role focuses on developing LLM-based agents that can autonomously retrieve proprietary experimental and simulation data, perform statistically rigorous analyses, and generate clear, traceable reports for internal scientific teams. This position sits within the Discovery, and Early Prototyping (DEP) organization and works closely with domain experts in materials science, chemistry, and energy systems. The goal is not to build a generic chatbot, but to create reliable, production-grade agents that integrate knowledge across internal data silos and materially improve how scientists reason about data. Success in this role is measured by the delivery of production-ready agentic systems actively used by scientists for data analysis and decision-making. Core Responsibilities Infrastructure Development: Design, implement, and formalize scalable agent architectures, incorporating structured prompting and advanced tool‑use (tool‑augmented reasoning). Agent Development: Create LLM Agents specifically engineered to: Autonomously retrieve proprietary scientific data from diverse internal systems and formats (e.g., experimental, simulation). Perform relevant statistical analysis on retrieved data. Produce clear, actionable reports for internal users. Domain‑Expert Interaction: Collaborate with domain experts in materials science to understand data structure, define analysis requirements, and ensure statistical rigor in Agent outputs. Required Qualifications Education: Master’s or PhD in Computer Science, Machine Learning, AI, Engineering, or a related scientific field, or equivalent research/industry experience. Programming: Strong programming skills in Python and knowledge of software development best practices. Agentic Frameworks: Expertise in LLM frameworks (Ollama, HuggingFace Transformers) and Agent‑building toolkits (LangChain, LlamaIndex, or similar). Agentic Reasoning: Proficiency in advanced LLM reasoning methods, including Chain‑of‑Thought, self‑reflection, and advanced tool‑augmented reasoning. Data & Statistics: Proven ability to access, process, and perform rigorous statistical analysis on complex, proprietary scientific datasets. Self‑starter and energetic. Preferred Qualifications Research experience in causal reasoning, probabilistic programming, or symbolic AI. Familiarity with scientific discovery pipelines in chemistry, materials science, or energy research. Experience with multimodal reasoning (combining text, image, and experimental data). Practical experience in delivering and maintaining production‑ready ML/Agentic systems. Industry Background Alsym Energy, Inc is a leading innovator in the rapidly changing field of battery energy storage. It is essential for the world to succeed in the transition to sustainable energy and batteries are at the very core of the solution. In fact, the IEA predicts that 60% of CO₂ emission reductions in 2030 will be directly related to batteries. This mission is what drives us every day. Over the last few years, supply‑chain constraints and significant safety incidents arising from lithium‑ion batteries have reduced confidence in the suitability of the technology. Alsym’s advanced sodium ion technology enables the highest performing non‑lithium‑ion battery in the industry, based on its safe, sustainable and long‑lasting energy storage solution. Seniority level Mid‑Senior level Employment type Full‑time J-18808-Ljbffr

Vice President Engineering (Westlake Village)

Vice President of DATA ENGINEERING Leads and manages a team of data science professionals, collaborating with stakeholders and the practice lead on data-based initiatives. Responsibilities Provide vision and direction for the data science team, collaborating with cross-functional stakeholders to identify and prioritize data-driven opportunities that align with the company's goals. Develop and execute the data science roadmap, ensuring the application of advanced analytics, machine learning, and artificial intelligence techniques to extract valuable insights from complex and diverse data sets. Establish and maintain industry-leading practices for data governance, data quality, and data privacy. Promote a data-driven culture within the organization, fostering collaboration and innovation, and leveraging data to create competitive differentiation and drive business growth. Collaborate with the Data Science Practice lead regarding initiatives that require more resource-intensive modeling and automation. Team Responsibilities Champion a culture of trust, collaboration, and open communication, ensuring every team member feels valued and empowered to contribute ideas and feedback. Strategic mindset with the ability to translate organizational goals into actionable team development plans. Excellent communication and interpersonal skills, able to bridge technical and business perspectives and inspire cross‑functional collaboration. Strong mentoring and coaching skills, with a track record of developing talent and supporting career trajectories. Proven ability to build, grow, and retain high‑performing teams in a data science or technical environment. Regularly assess team structure, skills, and engagement, adapting strategies to meet evolving business needs and individual aspirations. Encourage curiosity, experimentation, and continuous learning in the team and across the IT organization. Skills Requirements Excellent leadership skills to inspire and motivate a team, set strategic goals, allocate resources effectively, and ensure the successful execution of data science projects. Experience in managing and mentoring data science professionals is essential. Solid understanding of the business goals, objectives, and challenges of the organization. Ability to translate data-driven insights into actionable recommendations and strategies that align with the company's overall vision. Business acumen to make informed decisions, prioritize projects, and communicate effectively with stakeholders at all levels. Staying updated on the latest trends and advancements in data science and analytics, exploring new technologies, and assessing their potential impact on the organization's goals. Education Requirements Bachelor's Degree, First Degree, Trade/Vocational School certificate or Equivalent required. Degree in Data Science or Engineering discipline preferred. Seniority Level Executive Employment Type Full‑time Job Function Engineering, Business Development, and Customer Service Industries Data Infrastructure and Analytics J-18808-Ljbffr

Director of AI Platforms, Texas Institute for Electronics (Austin)

Director of AI Platforms, Texas Institute for Electronics 1 day ago Be among the first 25 applicants Job Posting Title: Director of AI Platforms, Texas Institute for Electronics Hiring Department: Texas Institute for Electronics Position Open To: All Applicants Weekly Scheduled Hours: 40 FLSA Status: To Be Determined at Offer Earliest Start Date: Ongoing Position Duration: Expected to Continue Location: AUSTIN, TX Referrals increase your chances of interviewing at The University of Texas at Austin by 2x. About TIE Texas Institute for Electronics (TIE) is a transformative, well‑funded semiconductor foundry venture combining the agility of a startup with the scale of a national initiative. Our Mission: A key part of our mission is to advance the state of the art in 3D heterogeneous integration, chiplet‑based architectures, and multi‑component microsystems—catalyzing breakthroughs across microelectronics, artificial intelligence, quantum computing, high‑performance computing, and next‑generation healthcare devices. Our Impact: Backed by $1.4 billion in combined funding from DARPA, Texas state initiatives, and strategic partners, we are building foundational capabilities in advanced packaging and integrated design infrastructure to restore U.S. leadership in microelectronics manufacturing. Our Technology: Our 3DHI and chiplet integration platforms integrate novel thermal management and advanced interconnect solutions to deliver unprecedented performance and energy efficiency. Operating at the intersection of defense electronics and commercial markets, TIE offers a rare opportunity to reimagine an industry from the ground up and build transformative products with global impact. UT Austin, recognized by Forbes as one of America’s Best Large Employers, provides outstanding employee benefits and total rewards packages below. Benefits Competitive health benefits (employee premiums covered at 100%, family premiums at 50%) Voluntary Vision, Dental, Life, and Disability insurance options Generous paid vacation, sick time, and holidays Teachers Retirement System of Texas, a defined benefit retirement plan, with 8.25% employer matching funds Additional Voluntary Retirement Programs: Tax Sheltered Annuity 403(b) and a Deferred Compensation program 457(b) Flexible spending account options for medical and childcare expenses Robust free training access through LinkedIn Learning plus professional conference opportunities Tuition assistance Expansive employee discount program including athletic tickets Free access to UT Austin's libraries and museums with staff ID card Free rides on all UT Shuttle and Austin CapMetro buses with staff ID card For more details, please see Benefits | Human Resources and UT Austin Employee Experience. Purpose Drive the design, deployment, and optimization of enterprise‑grade LLM systems, ensuring scalable, secure, and high‑performance AI solutions tailored to complex organizational needs. Lead technical innovation across architecture, MLOps, and retrieval‑augmented generation to deliver impactful, privacy‑compliant AI capabilities. Responsibilities Define and lead the software architecture and implementation roadmap for a scalable, modular AI infrastructure platform. You will work across backend, orchestration, and deployment layers—focusing on performance, security, and reliability. Build and manage a high‑caliber engineering team, including backend developers, platform engineers, and site reliability engineers. You will be responsible for mentoring, hiring, and setting a culture of technical excellence and operational discipline. Own core services that power AI pipelines, including APIs for data ingestion and transformation, orchestration of model inference jobs, and integration with LLM orchestration layers and vector stores. Establish technical strategy and design standards that support rapid prototyping, automated testing, and code reuse across teams. You will define best practices and lead by example in system design, code reviews, and architectural discussions. Lead on‑premise deployment strategy, ensuring our stack is optimized for hybrid environments. You will manage challenges around air‑gapped deployments, resource management, and update rollouts in constrained environments. Collaborate cross‑functionally with AI engineering, product management, and customer success to align engineering priorities with product goals. You’ll help translate high‑level needs into deliverable milestones. Implement and maintain CI/CD pipelines and DevOps best practices, focusing on security, observability, rollback safety, and developer productivity. Develop and enforce SLAs/SLOs for critical services, putting in place monitoring, alerting, and incident response practices that ensure uptime and stability in enterprise‑grade deployments. Stay on top of evolving technologies in distributed systems, containerization, service mesh, observability, and developer tooling—bringing in the best ideas to future‑proof our platform. Required Qualifications BS in Computer Science, Engineering, or a related field. 8 or more years of software engineering experience, including 3 or more years focused on AI/ML and LLM‑based applications. Deep knowledge of LLM architectures and tools – you understand transformer models inside and out and are fluent in the surrounding ecosystem (from tokenization and embedding techniques to prompt engineering and fine‑tuning methods). Proven track record of productionizing LLM applications end‑to‑end. You have built and deployed AI‑powered solutions (using both commercial APIs and open‑source models) into real‑world production environments – including experience with on‑prem or private cloud deployments of AI systems. Hands‑on experience with the LLM tech stack: this includes building pipelines with vector databases (for embedding storage/search) and using LLM orchestration frameworks like LangChain or LlamaIndex to compose prompts, tools, and data retrieval. Experience with modern model serving and scaling – familiarity with frameworks such as vLLM, LMDeploy, Ray (for distributed inference), or Triton Inference Server to optimize runtime performance of large models. Exceptional engineering and problem‑solving skills. You can design elegant solutions for complex challenges and debug issues across the ML stack (data, model, infrastructure) when things go wrong. Excellent communication skills. You know how to articulate complex technical concepts clearly and adjust your message for engineers, founders, or other stakeholders. You can document architectures, write clear project plans, and mentor others by explaining the “why” behind technical decisions. You have the ability to work effectively in fast‑paced environments. You have the ability to act with urgency, adapt quickly to new information, and take ownership of. Execution mindset. You have demonstrated experience driving projects forward in a hands‑on role without heavy process or management overhead. You excel at managing multiple priorities, staying organized, and delivering results in a lean team setting. Relevant education and experience may be substituted as appropriate. Preferred Qualifications MS or PhD in Computer Science, Machine Learning, or a related discipline. Prior technical leadership experience. Experience leading an engineering team or serving as a tech lead for complex AI/ML projects. Ability to mentor others and experience managing project roadmaps or teams in previous roles. Domain expertise in NLP/LLMs. Publications, open‑source contributions, or recognized expertise in the NLP/LLM field (e.g., contributions to Transformer libraries, research in language modeling, etc.) will set you apart. Enterprise AI experience. Familiarity with the unique challenges of applying AI in enterprise settings – such as handling sensitive data, ensuring compliance (e.g., GDPR, SOC2), or integrating with enterprise IT systems – is a plus. Salary Range TIE pays industry‑competitive salaries. Working Conditions May work around standard office conditions Repetitive use of a keyboard at a workstation Use of manual dexterity (ex: using a mouse) Work Shift Monday - Friday 8am to 5pm This position may involve work outside of regular business hours during peak periods. Occasional travel may be required. Required Materials Resume/CV 3 work references with their contact information; at least one reference should be from a supervisor Letter of interest (optional) Important For applicants who are NOT current university employees or contingent workers: You will be prompted to submit your resume the first time you apply, then you will be provided an option to upload a new Resume for subsequent applications. Any additional Required Materials (letter of interest, references, etc.) will be uploaded in the Application Questions section; you will be able to multi‑select additional files. Before submitting your online job application, ensure that ALL Required Materials have been uploaded. Once your job application has been submitted, you cannot make changes. For current university employees and contingent workers: As a current university employee or contingent worker, you MUST apply within Workday by searching for Fi

Manager, Electrical Engineering (Chicago)

Join to apply for the Manager, Electrical Engineering role at Milhouse . This role will lead and oversee the electrical engineering team within the Facilities Group, managing project execution on time and on budget, ensuring technical quality, developing the team, assisting with proposals, performing technical field surveys, and engaging with clients for electrical systems in industrial, commercial, and institutional facilities. Base Pay Range $141,400.00/yr – $178,100.00/yr What You’ll Do Lead, mentor, and manage a team of electrical engineers and designers. Oversee the design and development of electrical systems, including power distribution, lighting, fire alarm, and low‑voltage systems for various facility types. Ensure compliance with industry codes, standards, and regulations. Collaborate with multidisciplinary teams to integrate electrical designs into broader facility engineering projects. Manage project schedules, budgets, and resources while ensuring high‑quality deliverables. Serve as the primary technical contact for clients, providing guidance and addressing concerns. Drive innovation and continuous improvement in electrical design methodologies. Support business development efforts by contributing to proposals, client presentations, and strategic planning. Who You Are Bachelor’s or master’s degree in electrical engineering from an ABET accredited institution. Professional Engineer (PE) license required. 10 years of experience in electrical engineering for facilities, including at least 4 years in a leadership role. Certifications in LEED, Value Engineering, Energy Management or similar preferred. Membership and active participation in discipline‑specific professional organizations such as IEEE, CEE, etc. Proficiency in electrical design software such as Revit, AutoCAD. Strong understanding of NEC, NFPA, IEEE, and other relevant standards. Excellent leadership, communication, and problem‑solving skills. Proficient in AIG and SKM. Benefits Medical, Dental & Vision Coverage – Reach out to learn how your deductible could be covered 100% through Garner Health. Company Sponsored Life Insurance and Short‑Term Disability – We’ve got your back when life takes unexpected turns. Voluntary Coverages – Take control of your well‑being with added coverage options. Discounted Gym Membership – Stay active with wellness options that support your fitness goals. Competitive Base Salary – Earn what you’re worth in a performance‑driven culture. 401(k) Retirement Plan – Build your future with confidence. Professional Development Incentives – Get rewarded for growing your skills, including bonuses for earning your PE license. Milhouse University (Cross‑Functional Training) – Expand your expertise with internal training built to elevate your career and receive PDH credits for applicable training toward professional engineering licenses. Employee Education & Development Program – Tuition assistance and learning opportunities to keep you moving forward. Generous PTO Paid Holidays – Rest, recharge, and enjoy the moments that matter most. Paid Parental Leave – Bond with your new arrival, and we’ll even cover a year of diapers. Extracurricular Sports Teams – Join our summer volleyball and softball squads for fun off the clock. Employee Recognition Program – Be celebrated for the impact you make. Employee Referral Bonus – Bring great people on board and get paid for it. Transit Benefits Program – Save on your daily commute. Charitable Events and Activities offered through non‑profit affiliate – Milhouse Charities. Senior Level Mid–Senior level Employment Type Full‑time Job Function Management Milhouse is a pay transparency non‑discrimination organization committed to fostering an inclusive and equitable workplace. We ensure that all employees are compensated fairly and without bias, in accordance with applicable laws and regulations. In compliance with the Illinois Equal Pay Act, effective January 1, 2025, we include pay scales and benefits in all job postings and ensure that all promotion opportunities are communicated to current employees within 14 days of external postings. Additionally, we participate in E‑Verify to confirm employment eligibility and uphold compliance with federal requirements. J-18808-Ljbffr

Director, Product Marketing (Charlotte)

Sealed Air designs and delivers packaging solutions that protect essential goods transported worldwide, preserve food, enable e-commerce and digital connectivity, and help create a global supply chain that is touchless, safer, less wasteful, and more resilient. We strive to foster a caring, high-performance growth culture that will deliver consistent, sustainable profitable growth and accelerate our performance – a culture where accountability is clear and aligned, and where we reward business outcomes and impact. In 2024, Sealed Air generated $5.4 billion in revenue and had approximately 16,400 employees distributing products and services to 117 countries/territories around the world. To learn more, visit www.sealedair.com. Position Summary As Director Product Marketing, you will be responsible for driving P&L performance, strategy development, cross-functional team leadership, product life-cycle management, demand planning, new product introduction and positioning our products around solving critical customer packaging problems. The successful candidate will have a performance history of meeting or exceeding revenue and margin targets while growing market share. Heavy collaboration with cross functional Protective vertical leaders in Supply Chain, Finance, Sales, Commercial Excellence and the I&D will be imperative to ensure priorities are aligned to deliver annual business plans that drive growth toward our Protective strategy. As the Director Product Marketing, you are responsible for: Developing and executing a comprehensive marketing strategy and product roadmap to achieve revenue and profitability goals. Managing the product P&L by allocating resources to maintain a market-leading, cost-effective portfolio, including pricing, product development, and promotional strategy. Owning the development and execution of the long-term product and marketing strategy. Collaborating with Sales, Innovation & Development, and Supply Chain to ensure alignment and drive profitable growth. Leveraging Packaging Application Centers and Design Engineers to solve customer packaging challenges and accelerate profitable growth. Job Description Product Strategy & Road Mapping Define and maintain a multi-year product roadmap for integrated equipment, substrates, parts, and after-market services that aligns with overall corporate strategy and customer needs. Conduct market, competitive, and technology trend analyses to identify emerging opportunities and risks in film, paper, and machinery segments. Build business cases for new offerings—evaluating total addressable market, revenue potential, cost to serve, and ROI. Lifecycle & Portfolio Management Own the end to end product lifecycle, from requirements gathering through launch, sustainment, and end of life. Prioritize feature enhancements, cost reduction programs, and service improvements based on quantitative value drivers (e.g., margin expansion, uptime, customer satisfaction). Manage portfolio rationalization to balance innovation investment against legacy product profitability. OEM & Partner Engagement Serve as the primary liaison with internal engineering, external OEM partners, and key suppliers to ensure alignment on product specifications, quality, and delivery. Negotiate and manage technical contracts, component sourcing agreements, and aftermarket service-level agreements. Coordinate field trials, pilot installations, and customer acceptance testing for complex equipment solutions. Commercial Execution & Sales Enablement Set pricing strategy across equipment, substrates, and parts & service offerings to optimize margin and win rates. Develop sales tools, technical collateral, ROI calculators, demo kits, training modules, and web content to empower direct and channel sales teams. Partner with marketing communications to craft value propositions, case studies, white papers, and targeted campaigns. Cross Functional Leadership & Governance Lead cross functional teams (R&D, operations, supply chain, service, finance) in Agile or Stage Gate product development processes. Drive go to market plans, launch readiness checklists, and post launch performance reviews. Institute clear processes and governance to ensure product management focus remains on value added marketing activities (versus ad hoc operational tasks). Core Capabilities and Skills Strategic & Analytical Thinking: Translate complex market data into actionable product strategies and quantify business impact. Technical Acumen: Deep understanding of mechanical systems, material science (film/paper), and process engineering. Commercial Savvy: Proven ability to set pricing, manage P&L responsibilities, and drive profitable growth. Cross-Functional Collaboration: Expert at rallying diverse teams toward shared objectives; skilled in stakeholder influence and negotiation. Customer-Centric Mindset: Strong focus on voice-of-customer insights, customer satisfaction metrics, and designing solutions that solve real business problems. Project & Change Management: Disciplined in managing complex, multi-phase projects with rigorous risk mitigation and milestone tracking. Communication & Presentation: Excellent written and verbal skills for white papers, executive briefings, and sales training. Qualifications Education: Bachelor’s degree in Mechanical/Industrial Engineering, Materials Science, or related STEM field; MBA strongly preferred. Experience: 7 years in B2B product management of technical, capital-intensive equipment or systems (e.g., manufacturing machinery, OEM solutions). Demonstrated track record managing integrated product portfolios including hardware, consumables, and service offerings. Hands-on experience with contract negotiation, aftermarket service models, and channel partnerships. Other Requirements: Ability to travel up to 40% for customer visits, trade shows, and partner workshops. Proficiency with product lifecycle management (PLM) tools, CRM systems, and data analytics platforms. Requisition id:53733 Relocation:Yes Sealed Air is committed to attracting, selecting, and developing talent that reflects the diversity of the communities and customers we serve. We take pride in our selection process to identify, infuse, and grow talent to align with our culture, values, and norms. Sealed Air prioritizes talent development, fostering a culture of continuous growth and career progression. The company is committed to providing equal employment opportunities to all applicants for employment and to all employees, without regard to race, color, religion, gender identity or expression, national origin, age, protected disability, veteran status, or any other protected status in accordance with applicable federal, state and local laws. *Please be cautious of fraudulent recruiting efforts using the Sealed Air name or logo. Sealed Air will never request private information during the application process, such as a Driver's License or Social Security Number. If you have any concerns about information received from SEE during the application process, please reach out to us directly at [email protected]. It is our responsibility to leverage what we have to affect positive and meaningful change for our communities and planet using Sealed Air’s global resources and expertise. Corporate sustainability - it’s about improving the lives of people around the world by addressing pressing needs in the communities where we and our customers operate. Customer Success - meeting our customers' needs. At Sealed Air it’s more than a goal, it’s an integral part of our business practices, our innovative solutions, and our values. Leaving our communities better than we found them through dedication of time, talent and resources. J-18808-Ljbffr

Chief Financial Officer (Fullerton)

Where purpose meets possibility, and every dollar supports the student experience At ASI, finance isn’t just about numbers. It’s about impact. Every budget decision, every contract, every policy ultimately supports students. That might mean funding programs, maintaining spaces like the Titan Student Union and Student Recreation Center, or ensuring the long‑term sustainability of services students rely on every day. This role sits at the center of it all. You’ll work with executive leadership, department directors, and student leaders to make sure ASI’s resources are used strategically, responsibly, and in ways that directly benefit the campus community. The Chief Financial Officer (CFO) serves as ASI’s principal financial and administrative leader, overseeing finance, accounting, operations, IT, audit, and facilities planning. You will guide the financial strategy of a complex, multi‑entity organization while ensuring day‑to‑day operations run smoothly and align with ASI’s mission. You will also serve as a key partner to the Executive Director and Board of Directors, helping translate financial data into informed decisions. What you’ll actually do Lead all financial operations, including budgeting, forecasting, reporting, and cash management Oversee accounting, payroll, audits, and compliance with CSU, state, and federal requirements Develop and implement financial policies, internal controls, and operational procedures Review and approve contracts, financial agreements, and major expenditures Present financial reports and recommendations to the Board of Directors and Finance Committee Partner with department leaders to assess budgets, evaluate program costs, and guide resource allocation Support capital planning, facility development, and long‑term financial sustainability Oversee IT systems, internal audit functions, and building engineering operations Manage relationships with financial institutions, auditors, and external partners Supervise senior leaders across accounting, IT, audit, and facilities What this looks like in practice A department is planning a new program or service. You review budget impact, funding sources, and long‑term sustainability The Board is evaluating a major initiative. You present financial projections and risk considerations It is budget season. You lead the development of ASI’s annual budget across all departments An audit is underway. You coordinate across teams to ensure compliance and accuracy A contract comes forward. You review financial terms and advise on risk and feasibility Minimum qualifications Bachelor’s degree in Accounting, Business, Public Administration, or related field 10 years of progressively responsible financial and operational experience in a nonprofit setting 7 years of supervisory or management experience Strong background in financial planning, reporting, and organizational operations Preferred Master’s degree in a related field CPA Experience in higher education or auxiliary organizations Who this role is for You can translate complex financial information into clear, actionable insight You are comfortable working across operations, not just finance You understand that financial decisions in this environment directly impact students You can partner effectively with both executive leadership and student governance Why ASI This is more than a CFO role. It is an opportunity to shape how resources support student success across an entire organization, making an impact on the campus community at large. J-18808-Ljbffr