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Seek to optimize racing car design and setup configurations for on-track vehicle performance gains, using predictive simulation technologies.

Vehicle Performance Simulation & Analysis Responsibilities

• Predictive vehicle performance simulation and analysis for racing car configurations using Driver‑in‑the‑Loop (DIL) and other advanced simulation technologies.
• Analyze, interpret, and report results from DIL, vehicle simulators, and real‑world testing to HRC and racing team stakeholders.
• Guide HRC engineering groups and racing teams to maximize powertrain and overall vehicle performance.
• Design, execute, and optimize vehicle dynamics performance experiments, including free parameter optimization studies.
• Develop, configure, calibrate, and validate vehicle dynamics and performance models using simulation, rig, and on‑track data.
• Prepare model parameters, perform pre‑ and post‑processing, and generate correlation and validation reports.
• Create and maintain vehicle modeling and simulation tools, including models tested on the DIL simulator.
• Support development, debugging, and validation of vehicle dynamics and control system simulation platforms.
• Gather system characterization data and support rig testing (suspension kinematics and compliance, mass properties, shaker testing, wind tunnel, etc.).
• Collaborate with HRC teams to develop rig and track test plans, attend testing, and produce clear, timely technical reports.
• Work closely with HRC engineers, racing teams, Honda affiliates, and external partners to ensure effective communication and data exchange.
• Provide vehicle dynamics analytical expertise as a service across HRC engineering and racing programs.
• Support fault diagnosis and technical problem‑solving at racetracks.
• Design, implement, test, and maintain vehicle control system software.
• Ensure timely documentation, reporting, and compliance with records retention policies.

Physical Demands Requirements:

• Bending body downward and forward by bending spine at the waist while working.
• Bending legs at knee to come to a rest on knee or knees to work on close to the groundwork.
• Crawling.
• Moving about on hands and knees or hands and feet to work underneath suspended vehicles/engines/equipment to diagnosis problems and or remove replace parts.
• Standing for sustained periods during work or events.
• Sitting. Extensive travel and long travels.
• Walking. Moving about on foot to accomplish tasks (particularly walking long distances at the track to pit lane and around shop) 
• Lifting. Raising objects of 25 pounds from a lower to a higher position or moving objects horizontally from position-to-position.
• Repetitive motion. Substantial movements (motions) of the wrists, hands, and/or fingers while servicing / maintaining a race engine, vehicles and equipment.
• The worker is subject to hazards. Includes a variety of physical conditions, such as proximity to moving mechanical parts, moving vehicles, electrical current, exposure to high heat and exposure to chemicals.

Emotional Requirements:

• Make quick decisions
• Hazard awareness, aware of surroundings
• Planning and problem-solving
• Coping with change and other people

What Makes a Honda, is Who makes a Honda
Honda has a clear vision for the future, and it’s a joyful one.  We are looking for individuals with the skills, courage, persistence, and dreams that will help us reach our future-focused goals. At our core is innovation. Honda is constantly innovating and developing solutions to drive our business with record success.  We strive to be a company that serves as a source of “power” that supports people around the world who are trying to do things based on their own initiative and that helps people expand their own potential. To this end, Honda strives to realize “the joy and freedom of mobility” by developing new technologies and an innovative approach to achieve a “zero environmental footprint.”

We are looking for qualified individuals with diverse backgrounds, experiences, continuous improvement values, and a strong work ethic to join our team.

If your goals and values align with Honda’s, we want you to join our team to Bring the Future!

Job Purpose

Product Planner I is responsible for collecting, analyzing, and interpreting market trends and conditions within the Powersports & Products industry to identify factors that may impact future products. Serving as the voice of the customer, this role involves conducting comprehensive market and product research, as well as in-depth market analysis, to generate actionable insights. These insights support model strategy and lifecycle planning, sales planning, and model specific planning activities leading up to development.

Key Accountabilities

• Product Knowledge: Develop and maintain a comprehensive understanding of the Powersports & Products industry, including product line-ups of Honda and its core competitors. This includes in-depth knowledge of product types, features, and related technologies.
• Research: Support complex research projects to gather insights that inform product planning and future strategic initiatives. Organize and participate in research events, such as trade shows, customer, and dealer visits. Responsibilities include coordinating events, research vendor management, analyzing data, and creating reports to ensure actionable insights while receiving guidance and support.
• Analysis: Compile and analyze primary and secondary data utilizing various research methodologies and data sources. Generate and interpret insights from data to uncover customer preferences, satisfaction, purchase behaviors, future vehicle needs, trade-offs, and more. Effectively present findings through clear and visually compelling charts, graphs, and reports to support data-driven decision-making while receiving guidance and support.
• Product Planning: Gather and synthesize product trend data and effectively identify and summarize customer needs. Craft clear stories based on data and customer needs on essential development requirements while receiving guidance and support. Clearly communicate product descriptions, specifications, features, and pricing details while articulating the product role, target customers, and business objectives.

4. QUALIFICATIONS, EXPERIENCE, & SKILLS

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Minimum Educational Qualifications Bachelor’s Degree or equivalent work experience

Minimum Experience Requires 1-3 years of experience as a research analyst and/or product manager or passionate about Powersports & Products

Other Job-Specific Skills   

• High proficiency of Excel, PowerPoint.
• Proficiency in SPSS, Tableau, and PowerBI a plus.
• Highly data driven, logical, analytical, that can read data and translate them into a clear and concise story.
• Strong planning and project management skills.
• Strong communication skills.

Working Conditions

Travel:  Average of 6 times per year, depending on project demand.

Physical:  primarily deskwork, frequent keyboarding.

Hazards:  maybe exposed to hazardous chemicals & equipment, including on/off road riding/driving.

Overtime:  expected based on project demands/responsibilities

What differentiates Honda and make us an employer of choice?

Total Rewards:

• Competitive Base Salary (pay will be based on several variables that include, but not limited to geographic location, work experience, etc.)
• Paid Overtime
• Regional Bonus (when applicable)
• Industry-leading Benefit Plans (Medical, Dental, Vision, Rx) 
• Paid time off, including vacation, holidays, shutdown
• Company Paid Short-Term and Long-Term Disability 
• 401K Plan with company match + additional contribution
• Relocation assistance (if eligible)

Career Growth:

• Advancement Opportunities
• Career Mobility  
• Education Reimbursement for Continued Learning
• Training and Development programs 

Additional Offerings:

• Tuition Assistance & Student Loan Repayment
• Lifestyle Account
• Childcare Reimbursement Account
• Elder Care Support
• Wellbeing Program
• Community Service and Engagement Programs
• Product Programs

Honda is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, veteran status, or any other protected factor.

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

About tvScientific

tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business.

We are seeking a Staff Product Manager to lead the strategy and execution for identity graph and data partnership initiatives, critical to enabling high-performance, privacy-compliant targeting across our CTV advertising platform. This role will focus on developing and refining identity resolution capabilities, managing graph-based data integrations, and expanding the reach and accuracy of our audience recognition and measurement infrastructure.

Success in this role will require a blend of deep technical expertise in identity data, graph modeling, and data architecture, as well as strong product instincts and cross-functional leadership skills. You will work closely with Engineering, Data Science, and external data partners to build a resilient and scalable identity foundation for precise audience targeting and measurement.

What you'll do:

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• Own the identity product strategy at tvScientific
  
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  • Lead the product vision for tvScientific's identity graph, enabling persistent, multi-device recognition across CTV and digital channels.
    
  • tvSci Identity will service multiple teams throughout the product and engineering ecosystem, it will be your role to align with leadership of those teams to gather requirements, define goals and monitor success.
    
  • Partner with Data Engineering and Data Science to architect and optimize graph-based data models that represent user identity, household relationships, and device linkages.
    
  • Design APIs and services for real-time identity resolution, enrichment, and activation in programmatic ad workflows.
    
  
  
  
• Grow identity data partnerships
  
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  • Source, evaluate, and onboard third-party identity and behavioral data providers to enhance graph completeness and targeting capabilities.
    
  • Work with Legal, Security, and Data teams to ensure all data partnerships comply with CCPA, GDPR, and other global privacy standards.
    
  • Lead the technical integration and operationalization of new identity and graph enrichment partners, ensuring reliable ingestion, mapping, and deployment.
    
  • Maintain an ongoing view of the identity and data ecosystem, and recommend partnership or build strategies accordingly.
    
  
  
  
• Deliver world-class adtech product
  
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  • Write detailed product requirements, data specifications, and user stories for identity graph services and data integration projects.
    
  • Coordinate with Engineering and Infrastructure teams to deliver performant graph storage, traversal, and querying systems.
    
  • Support Sales, Marketing, and Customer Success with technical narratives that explain the role and value of identity resolution in CTV targeting.
    
  • Define and monitor key metrics related to graph quality (e.g., match rates, accuracy, persistence), identity coverage, and performance impact.
    
  
  
  
• Drive Industry Leadership
  
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  • Stay current with advancements in privacy-enhancing technologies (PETs), identity standards, and regulatory shifts impacting identity data use in advertising.
    
  • Represent tvScientific in industry forums and with partners to position the company as a leader in CTV identity and data interoperability.
    
  
  
  

What we're looking for:

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• Experience in product management, technical partnerships, or solutions engineering roles focused on data-driven products, audience targeting, or marketing technology.
  
• Strong background working with Data Engineering and Data Science teams to operationalize audience strategies.
  
• Expertise in audience segmentation, identity resolution, data onboarding, and activation workflows.
  
• Experience sourcing, integrating, and managingthird-party data partnerships.
  
• Wide array of data analytics experience and a tenacity for driving to comprehension and organization of large datasets.
  
• Solid technical acumen - including APIs, data pipelines, audience graphs, and privacy frameworks. Ideal candidates should be able to operate directly on the datasets without engineering support.
  
• Exceptional communication skills, translating technical details into business value.
  
• Experience within the adtech ecosystem is required, with Connected TV (CTV) experience a strong plus.
  

In-Office Requirement Statement:

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• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
  

Relocation Statement:

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• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

#LI-REMOTE

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

Open date: February 13, 2026

Next review date: Friday, Mar 20, 2026 at 11:59pm (Pacific Time)

Apply by this date to ensure full consideration by the committee.

Final date: Friday, Mar 20, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date.

The School of Information at the University of California, Berkeley invites applications for up to three new full-time Bellwether Postdoctoral Scholars to start as soon as July 2026. The exact start date is negotiable. These positions are available for two years, and are non-renewable. J-1 visa sponsorship is available for this position.

These postdoctoral positions are for academics in the early stages of their career who demonstrate exceptional potential as a scholar and researcher. Applicants should either have completed a doctoral degree, or be able to convincingly demonstrate that they will complete the degree before they intend to start this postdoctoral position (e.g. by documenting a scheduled viva/final defense).

We are seeking applicants with active research plans in any of the following areas:

BPS 1) We seek applicants pursuing a research agenda at the intersection of computer science and applied economics, with interdisciplinary training and interests in both topics. The successful applicant will work on projects that address pressing policy issues, using a mix of quantitative and computational methods (e.g., econometrics, data science, AI/ML). Examples of active projects include, but are not limited to, developing theory and methods for robust and equitable decision making in social settings; the use of machine learning and digital data to guide resource allocation and related policies in low-income countries; and creating and validating new techniques for monitoring living standards and well-being in high-stakes policy environments. This position will be supervised by Joshua Blumenstock.

BPS 2) We seek applicants with interdisciplinary training and interests pursuing a research agenda at the intersection of information science, computational social science, and public-interest research. The successful applicant will work on projects that examine how sociotechnical information systems shape high-stakes decision-making across digital and institutional contexts to address pressing issues in information access, trustworthiness, and credibility, using a mix of computational, quantitative, and qualitative methods (e.g., natural language processing, digital trace data, surveys, and interviews). Examples of active projects include, but are not limited to, studying online communities as informal information infrastructures; analyzing how search engines and digital platforms structure the visibility and credibility of information; developing methods to monitor and contextualize misinformation and uncertainty in sensitive or politicized domains; and advancing conceptual frameworks for understanding information ecosystems as structural determinants of equity, autonomy, and well-being, including but not limited to health-related contexts. This position will be supervised by Coye Cheshire.

BPS 3) We seek applicants with active research plans in climate and sustainability informatics, leveraging information and/or information tools to empower individuals, communities, and organizations in tackling the challenges of climate change and biodiversity conservation. We welcome applicants with strong backgrounds in one or more of the following areas: remote sensing, ML, NLP, HCI, participatory design, design research, biosensory computing. The successful applicant will become a core member of the IceBerk Lab ( ), and be supervised by John Chuang, with possible co-supervision by another IceBerk faculty member where appropriate.

BPS 4) The Cultural Analytics group seeks postdoc applicants to conduct data-driven research across archival heritage and born-digital media. Current projects include, but are not limited to: (i) the study of narrative, belief and resonance, where the goal is to understand how narrative is mutually constitutive of beliefs, and how narrative resonates in and across communities of belief; (ii) extracting narrative elements from literary works, with a strong focus on complex corpora such as the Icelandic sagas to understand composition and social modeling in late medieval fiction; (iii) further developing the approach of archetyptonics along with the SOCKS project at University of Vermont's Complex Systems Center; and (iv) refining a search engine for popular dance, where the search term is the dancer's sequence of poses, here focusing on Kpop dance. Ideal candidates bridge Computational Humanities/Social Science Computing (ML, Networks, and/or Computer Vision) with a qualitative theoretical background. You will be supervised by Tim Tangherlini (with potential I-School co-supervision), and be associated with the Berkeley Institute for Data Science (BIDS) and the AI Futures Lab. We welcome applicants with active research plans ready to contribute to a vibrant, interdisciplinary environment.

BPS 5) The goal of this postdoctoral position is to contribute to the development of an empirically-backed theoretical understanding of how people understand and make sense of the combination of graphic and textual information. We seek a scholar with expertise in some combination of information visualization, the psychology of reading and/or diagram interpretation, and cognitive science or neuroscience more generally to investigate human conception at the intersection of language and information visualization. Expertise in conducting and analyzing eye gaze is a requirement of the position. Expertise or interest in multimodal information, both cognitively and in large vision and language models is a plus. The mentor for this position is Professor Marti Hearst.

BPS 6) Seeking postdoc applicants with a passion for and commitment to equity-driven co-design with local marginalized Indigenous communities. A successful applicant will work on projects that weave together Indigenous knowledge, experiences, and values that address public-facing outcomes, such as informal science education programs and exhibits at local museums and cultural centers. The applicant will help develop theory and methods for world-building equity that integrate marginalized communities' cultural and social struggles. We are seeking applicants with the following attributes: strong background in co-design with marginalized communities, design research, qualitative methods, and experience building mixed reality systems. Knowledge of Indigenous research methods is a plus. This position will be supervised by Kimiko Ryokai.

The Bellwether Postdoctoral Scholar program is designed to allow exceptionally promising young researchers the time to develop their own research while collaborating with leading established faculty. It is designed to accelerate careers, and to maximize the ability of Bellwether Postdoctoral Scholars to build independent research trajectories. To accomplish this, a portion (30-40%) of each post-doc's time will be reserved for their own independent research and publication efforts, including publishing results from their dissertation.

Additionally, all Bellwether Postdoctoral Scholars will work with a mentor or mentors on research projects in the areas listed above (60-70%), all of which are either already active or will be at the time of the start of the post-doc. All have significant publication opportunities planned.

These postdoctoral positions are research-focused and do not include teaching. However, all post-docs will be given opportunities for guest lecturing and will be expected to give public talks about their research. Post-docs will also contribute to planning and hosting public talks for others, and will be expected to be active participants in I School academic events such as research talks.

Each postdoctoral scholar will have access to up to $5,000 annually for research expenses and travel to professional conferences and research opportunities. A laptop computer will also be provided for the duration of the post-doc.

For all of the above positions, we only seek candidates with excellent research and leadership abilities and a commitment to contributing to the UC Berkeley I School and the field of information more broadly while accelerating their career.

The Berkeley School of Information (I School) is a global bellwether in a world awash in information and data, boldly leading the way with education and fundamental research that translates into new knowledge, practices, policies, and solutions. I School scholars and practitioners thrive in the intersections where people, organizations, and societies interact with information, technology, and data. Faculty comprise a mix of disciplines, including information, computer science, economics, political science, law, sociology, design, media studies, and more.

The I School offers three professional master's degrees and an academic doctoral degree. The MIMS program trains students for careers as information professionals and emphasizes small classes and project-based learning. The MIDS program trains data scientists to manage and analyze the coming onslaught of big data, in a unique high-touch online degree. The MICS program prepares cybersecurity leaders with the technical skills and contextual knowledge necessary to develop solutions for complex cybersecurity challenges. The Ph.D. program equips scholars to develop solutions and shape policies that influence how people seek, use, and share information. Our cohorts and classes are small enough to support intense student engagement; and we encourage collaboration among the students, faculty, and staff in the I School community. Our alumni have careers in diverse fields, such as data science, user experience design and research, product management, engineering, information policy, cybersecurity, and more.

UC Berkeley has an excellent benefits package as well as a number of policies and programs to support employees as they balance work and family, if applicable.

School:

School: about/community

PhD (or equivalent international degree), or enrolled in a PhD or equivalent international degree-granting program at the time of application.

PhD (or equivalent international degree) required by start date.

No more than three years of postdoctoral research experience.

• Curriculum Vitae - Your most recently updated C.V.

  
  

• Cover Letter - 1-2 pages. Required elements of your cover letter include:

  
  
  

  which position(s) you are applying for (e.g. BPS1 or BPS5);
  
  when you would be available to start your postdoctoral work;
  
  a clear articulation of your fit with the UC Berkeley I School, addressing how your expertise overlaps with, enhances, or expands upon the research area indicated for your position(s) of interest. Please include names of any mentors that you would like to work with beyond the project supervisor.

  
  

• Statement of Research - 2-3 pages. Includes a description of the focus of your planned independent research and publications during the post-doc, what resources would you need to do that work, and an explanation of how the research builds on and goes beyond work you have already done.

  
  

• Writing Sample - Preferably a pre- or post-print of a first-authored publication.

  
  

• 3-5 required (contact information only)

We may contact your references at any stage in the hiring process unless you request otherwise. Please only provide contact information and do not request letters be sent at the time of application. Letters will be solicited for all finalists.

Help contact:

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

• 
  
• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  
• UC Sexual Violence and Sexual Harassment Policy
  
• UC Anti-Discrimination Policy
  
• APM - 035: Affirmative Action and Nondiscrimination in Employment
  

Now Hiring: Sourcing Manager – This leadership role reports to NAPA’s Director of Sourcing

NAPA Auto Parts Corporate Headquarters (Atlanta/Smyrna, GA)

Onsite: 4 days/week - No Relocation- Local Candidates Only

Must-Haves:

• 3+ years of experience in global sourcing (international supplier management, cost modeling, compliance, direct imports)
• Automotive industry experience strongly preferred
• If no automotive background, must have both true global sourcing experience, and retail merchandising experience (working with merchants, building programs, bringing products to market)

COMPANY INFORMATION - In May 2025, NAPA proudly celebrates its 100th anniversary, reinforcing its commitment to leading the automotive aftermarket. NAPA distributes more than 800,000 automotive replacement parts, accessories, and service items—both NAPA branded and key national brands—throughout the U.S. With 20,000+ employees, NAPA is widely recognized for quality parts, service, and expertise, serving retail and commercial customers across all domestic and foreign vehicle models through its stores and distribution centers.

NAPA’s parent company, Genuine Parts Company (GPC), established in 1928, is a global leader in automotive and industrial replacement parts and value-added solutions. GPC’s Automotive Parts Group operates across North America, Europe, and Australasia, while the Industrial Parts Group serves the U.S., Canada, Mexico, and Australasia. Together, they power a network of 10,700+ locations in 17 countries supported by over 63,000 teammates.

GPC reported record 2024 revenues of $23.5 billion and net earnings of $904 million. The company has paid a cash dividend every year since 1948 and has increased its dividend for 69 consecutive years, with a 3% increase approved for 2025— underscoring its strong financial performance and long-term stability.

GPC’s culture is grounded in diversity, equity, and inclusion, fostering an environment where all employees are respected, valued, and supported with equal opportunities to grow. Learn more at IMPACT - NAPA, a trusted Fortune 200 industry leader with over 100 years of innovation and operational excellence, continues to set the standard in supply chain performance and global sourcing. This Sourcing Manager role is a critical driver of our direct import strategy, leading cost-saving initiatives, supplier negotiations, and strategic sourcing across a global supplier network. With strong cross-functional influence, this role ensures alignment between procurement, logistics, inventory, and international teams to deliver consistent, high-quality results. It is a high-impact position that demands strategic thinking, global execution, and continuous improvement to strengthen our competitive edge. We are looking for a results-oriented, analytically driven professional to lead sourcing strategies that deliver measurable value across a dynamic and growing global supply chain.

FUNCTIONS AND RESPONSIBILITIES -The Sourcing Manager at NAPA Auto Parts plays a vital role in leading the strategic sourcing and management of the direct imports categories portfolio. This high-impact position is responsible for developing long-term sourcing strategies, executing RFPs, driving supplier negotiations, and ensuring strong supplier performance to support cost savings, supply continuity, and business growth. This role requires a collaborative, data-savvy, and results-driven professional capable of working across internal teams and international supplier networks. We are seeking a candidate with demonstrated multi-category sourcing experience.

Key responsibilities include:

▪ Develop and manage a 3-year sourcing strategy aligned with business goals and market trends; bring global sourcing expertise to manage international supplier networks

▪ Lead supplier relationship management for direct import products and develop negotiation strategies to build long-term supplier partnerships

▪ Drive continuous improvement in cost, supplier value, and product quality

▪ Design and execute global strategic sourcing initiatives (RFPs, market analysis, negotiations, supplier selection); evaluate supplier capabilities using industry cost models; conduct supplier performance reviews to ensure accountability and improvement

▪ Implement supplier contracts through collaboration with cross functional teams

▪ Achieve cost reductions through efficiencies, scale, and supplier performance

▪ Collaborate across Procurement, Engineering, Category, Pricing, Buying, Logistics, and Global Sourcing Teams ▪ Ensure supplier compliance with policies, trade laws, and performance standards ▪ Use tools such as Excel, COUPA CSO, Wrike, D365, and Power Bi or similar platforms for data-driven decisions

▪ Communicate proactively with domestic and international suppliers to minimize risk

▪ Analyze industry trends to identify sourcing risks and opportunities

▪ Approve supplier lists for bid processes to ensure competitive sourcing

▪ Apply a solid understanding of the sourcing process and supply chain

▪ Negotiate effectively and build strong supplier relationships

PROFESSIONAL QUALIFICATIONS - We are seeking a high-energy Sourcing Manager who thrives in a fast-paced, collaborative environment and brings 3+ years of experience in global sourcing within the automotive industry, with a proven ability to operate effectively at both the strategic and tactical levels. If no automotive background, candidate must have both true global sourcing experience, and retail merchandising experience.

The ideal candidate is a strategic thinker with exceptional negotiation skills and a demonstrated track record of managing complex categories, delivering meaningful cost savings, and building robust global supplier strategies.

The professional skills we seek include:

▪ Expertise in executing RFPs and managing supplier relationships, especially within direct imports

▪ Proficiency in sourcing tools such as COUPA, D365, Wrike, Excel, and Power BI or similar platforms ▪ Strong analytical, problem-solving, and data interpretation skills

▪ Ability to manage supplier negotiations and long-term strategic agreements

▪ Experience collaborating with procurement, quality, logistics, and international teams

▪ Ability to work independently, manage multiple priorities, and meet aggressive deadlines

▪ Knowledge of trade policy, compliance standards, and supplier contract terminology

PERSONAL QUALIFICATIONS - A strategic, analytical, and relationship-oriented professional who thrives in a cross-functional environment and brings a proactive approach to global sourcing. The ideal candidate will balance long-term strategy with day-to-day execution, demonstrate strong negotiation skills, and foster collaborative supplier partnerships that drive value and performance. This requires a unique personality with strong emotional intelligence and who is:

▪ Influential and collaborative across multiple departments and stakeholders; an active listener to understand needs and drive effective solutions

▪ Organized and deadline-driven who is self-directed and reliable under minimal supervision

▪ Comfortable asking tough questions and challenging norms who will take initiative and demonstrate a self-starter mentality

EDUCATION REQUIREMENTS - Bachelor’s Degree in Business Administration, Supply Chain Management, or Engineering

COMPENSATION - NAPA offers a highly competitive compensation package, including a base salary and bonus program.

Head of Business Operations

Brief Summary

The Head of Business Operations owns the configuration, integrity, and scalability of the company's business operations systems, serving as the bridge between business strategy and technical execution reporting directly to the CEO/Co-Founder. This role is responsible for translating institutional knowledge into scalable business processes,

ensuring data integrity, and enabling the transition from ad-hoc decision making to data-driven workflows. This is a senior management role with individual-contributor responsibilities, broad cross-functional authority, and high executive visibility.

The Head of Business Operations will take a lead role in defining the data architecture, implementing process guardrails, and analyzing operational data to drive strategy. This person acts as the cross-functional orchestrator of the business operations system, collaborating with Sales, Production, and Leadership to extract & refine business logic and codify it into streamlined processes. Success in this role requires a strong backbone to enforce higher standards, and an analytical and systems-thinking mindset to visualize downstream effects.

What Success Looks Like

● All core workflows are analyzable, have entrance/exit criteria, and are governed by continuously improving SOPs

● Leadership can answer key operational questions without ad-hoc data pulls

● Administrative overhead for sales and production staff is measurably reduced through intuitive, user-centric workflow design and automation.

● Data integrity is proactively enforced through automated validation gates, ensuring all transactions reaching Production meet technical completeness standards

● Schema changes follow a formal change process without disruptive production breakage

● Cross-team handoffs show measurable reductions in rework or delays

● Operational reporting has shifted from reactive status checks to predictive insights, providing automated triggers for churn risks and production bottlenecks

Duties & Responsibilities

Requirements Engineering (Internal Product Owner)

● Conduct structured interviews with stakeholders (Sales, Production) to extract complex business logic, transforming qualitative requirements into workflow pipelines, binary system gates, and automation triggers.

● Treat internal tools as a "Product" and internal staff as "Users," conducting user research to ensure workflows are intuitive and reduce friction.

● Act as the liaison between business stakeholders and technical teams to ensure alignment.

● Define, mandate, and manage the company's "Data Dictionary" and Standard Operating

Procedures (SOPs), ensuring a unified language and common framework is adopted across all functional teams.

System Ownership & Platform Governance

● Own the configuration and architecture of the company’s operating platform (currently ), defining object relationships and preventing schema drift.

● Translate strategic business objectives into system logic, automation rules, and workflows to create a scalable operating platform that generates measurable, actionable data.

● Define and enforce strict "Entrance and Exit Criteria" for all business process stages to prevent data errors (the enforcement aspect).

● Manage the change control process for system updates to prevent disruption to active workflows.

Business Intelligence

● Responsible for building decision-grade operational reporting and analysis (but not exploratory data science/research or data engineering).

● Query and analyze cross-functional data to drive strategic business decisions, identify performance gaps, and uncover opportunities for revenue optimization and growth (e.g., ROAS, marketing attribution, churn risks, customer LTV).

● Own and facilitate the weekly business review, working with management and leads to refine reporting and insights across the organization.

● Design and maintain management reporting dashboards to track key performance indicators and operational health.

Decision Authority

This role has final decision authority over the following areas:

● Operating system structure and data definitions

● Workflow stage definitions and gating logic

● Approval or rejection of system changes that affect data integrity

Desired Qualifications & Traits

● Systems Thinker: Possesses strong systems thinking capabilities, naturally visualizing the downstream effects of upstream changes (e.g., how a change in the Sales form affects the Production floor). They prioritize long-term scalability over short-term "hacks."

● Pragmatic Architect: Maintains a pragmatic approach to architecture, balancing "perfection with business utility." They know when to implement a rigid constraint and when to allow manual flexibility, always focused on delivering high-utility features.

● Operational Excellence Steward: Demonstrates operational discipline and the ability to define, promote, and enforce process compliance among diverse teams. They value consistency and predictability and are willing to say "No" when requests threaten system integrity and guide the team to the right trade-off.

● Analytical & Problem-Solving Mindset: Possesses an investigative nature, focusing on finding root causes and proactively hunting for "process leaks" and undefined variables. They validate assumptions with data rather than anecdotes.

● Coach & Change Leader: Possesses high emotional intelligence and the teaching ability to re-program legacy habits. They can explain why a new system is better to resistant teams and guide them through the transition with patience and clarity.

● Ambiguity Simplifier: Has the ability to simplify ambiguity, taking chaotic business inputs and structuring the information into linear, standardized processes.

● Translator & Data-Centric Communicator: Has strong communication skills to fluently bridge the gap, explaining technical constraints to non-technical stakeholders in plain English.

● Detail-Oriented: Is highly detail-oriented, obsessed with consistent naming conventions and data definitions. They notice misalignment in data definitions immediately, ensuring organizational clarity and data integrity.

Experience & Educational Requirements & Preferences

Experience & Educational Background

● 7+ years of experience in Business Operations, Systems Administration, or Data Analysis.

● Bachelor’s degree in Business, Information Systems, or related field required, Master's degree preferred.

● People Management and Team Building

Platform Expertise & Architecture

● Low-Code/No-Code Mastery: Advanced proficiency with Low-Code/No-Code platforms ( , Airtable, Salesforce) is required, including the management of complex automation rules, dependencies, and integration webhooks.

● Business Object Modeling / Relational Database Design: Proven experience designing relational database schemas (One-to-Many, Many-to-Many), specifically including the ability to translate flat spreadsheets into relational objects (e.g., separating "Orders" from "Line Items").

● API & Integration Knowledge: Ability to read API documentation to understand system

capabilities/limitations.

● Lightweight Scripting & Automation (Preferred): Proficiency with basic data-related scripting (Python, SQL) or advanced spreadsheet macros (VBA) to independently manipulate datasets or prototype logic is a strong plus.

Process, Intelligence, & Change Management

● Business Process Modeling (BPM): Experience with Business Process Modeling (BPM), including creating detailed swimlane diagrams to visualize hand-offs and defining strict "Entrance and Exit Criteria" for process stages.

● Business Intelligence (BI) & Reporting: Proficiency in designing Business Intelligence (BI) dashboards and reports, with an understanding of how to structure data for customer segmentation and cohort analysis.

● Change Management & Training: Experience managing change, designing rollout plans, and creating training materials and SOPs for users in a fast-paced environment.

Position: Senior Associate Actuary

Location: Fairfield County, CT (Hybrid)

Salary: $140,000–$200,000 + Bonus

Actuarial Summary:

This exciting opportunity is designed for an actuarial professional with strong property and casualty experience seeking exposure to reserving, pricing analytics, and enterprise risk management within a collaborative and data-driven environment. The Associate Actuary will play a key role in supporting reserve reviews, pricing analyses, and capital modeling initiatives while leveraging advanced analytics and external market data to inform business decisions.

The position offers hands-on analytical responsibility, visibility with senior leadership, and the opportunity to contribute to strategic initiatives through actuarial insight, predictive modeling, and modern data tools.

Key Responsibilities & Qualifications:

Conduct quarterly reserve reviews and monitor portfolios of Workers’ Compensation claims, analyzing paid and incurred development patterns for medical, indemnity, and expense components

Analyze statistical data, claims experience, and market trends to support pricing strategies and develop premium and loss projections for financial and underwriting planning

Evaluate trends using external economic indicators including industry benchmarks, medical CPI indices, and wage data to enhance reserving accuracy

Assist in developing and enhancing actuarial tools and models to improve the efficiency and accuracy of reserving and pricing analyses

Develop and enhance reporting tools and analytics capabilities in partnership with data and operational reporting teams

Build and implement models leveraging large datasets, statistical methods, and predictive analytics to support business decision-making

Translate complex analytical findings into clear insights through business-friendly communication and data visualization tools

Support capital modeling initiatives and assist with enterprise risk management processes, including maintaining risk registers and monitoring emerging risks

Bachelor’s degree in Actuarial Science, Mathematics, Statistics, or a related field

ACAS preferred; candidates with significant progress toward ACAS (5+ CAS exams) will also be considered

5+ years of actuarial experience within the property and casualty insurance industry

3+ years of Workers’ Compensation experience strongly preferred

Experience with Power BI or similar data visualization tools preferred

Experience with Python, R, SQL, or similar programming tools for statistical analysis is a plus

Familiarity with machine learning or predictive modeling frameworks is a plus

This is a temporary position.

Job Summary

As a Flex Senior Manager, Partner Campaign Reporting, you will play a pivotal role in executing Marriott's Partner Campaign Reporting program. Working under the Sr. Director, Partner Campaign Reporting Strategy, you will be responsible for delivering accurate measurement and insightful reporting to Marriott's advertisers. You will design and execute campaign reporting templates and dashboards, translate business and advertiser needs into actionable insights, and support ongoing measurement and reporting initiatives for key advertising partners.

You will collaborate cross-functionally with internal stakeholders to ensure reporting solutions are aligned with business goals. You will also leverage effective communication skills to translate complex analyses into understandable insights for advertisers. You are naturally curious and stay current on the MarTech/AdTech ecosystem, digital marketing landscape, and emerging measurement methodologies. You are a strategic thinker who consistently elevates your work.

Candidate Profile

Education and Experience Required

• Bachelor's degree in Business, Economics, Marketing, Data Science, or related field.
• 5+ years of experience in digital media or other digital business with a strong analytical background and experience.
• Strong technical and analytical foundation, with experience in data-driven decision-making and marketing analytics.
• Knowledge of measurement and analytics across digital marketing and media channels, including reporting frameworks and analytical models.
• Familiarity with core measurement science concepts, including experimentation and measurement frameworks (A/B testing, matched market, MMM, etc.), statistical sampling techniques and hypothesis testing, power analysis, and synthetic control.
• Familiarity with media channels, marketing technology, marketing operations, audience segmentation, and customer data strategies.
• Proven experience presenting analytical insights and answering all technical/data questions for both technical and non-technical stakeholders.
• Success in running sophisticated business processes across multiple internal teams in a fast-paced environment.
• Strong strategic and critical thinking skills; bias towards data-based decision making with the ability to break down complex problems and formulate plans.
• Excellent decision-making, project management, and communication skills.
• Strong conceptual skills and ability to translate theoretical concepts into analytical or research methodologies and tools.
• Understanding and adherence to the principles of data quality management, Agile, data privacy and modern marketing best practices.

Education and Experience Preferred

• Master's degree in Business, Economics, Marketing, Data Science, or related field.
• SQL and PySpark experience.
• Familiarity with media advertising reporting.

Core Work Activities

Primary Activities

• Drive the execution of Marriott's Partner Campaign Reporting function, including defining key KPIs, designing advertiser reporting templates and dashboards, and managing partner campaign reporting managers.
• Translate campaign and performance data into clear insights and actionable recommendations for advertising partners.
• Support the Sr. Director, Partner Campaign Reporting with the development and execution of the measurement and reporting roadmap.
• Develop and manage partner campaign reporting managers in building reporting capabilities and supporting advertiser analytics requests.
• Work cross-functionally with the Sales & Partnerships team to ensure business needs around measurement and reporting are captured and reflected in standardized measurement and reporting templates.
• Collaborate with internal stakeholders to document and communicate measurement capabilities and deliver customized reporting solutions based on advertiser needs.
• Collaborate with the measurement team to create new analytical models, measurement pipelines, and visualization dashboards / tools.
• Design advertiser specific reporting dashboards and templates, customizing and troubleshooting when needed.
• Answer all advertiser questions around measurement and reporting.
• Regularly validate all Marriott advertiser measurement and campaign performance.

Leverage a data driven approach to evaluate optimization opportunities on reporting capabilities / tools

The pay range for this position is $52.06 to $72.79 per hour.

Flex opportunities offer coverage for medical, dental, vision, health care flexible spending account, dependent care flexible spending account, life insurance, disability insurance, accident insurance, adoption expense reimbursements, paid parental leave, 401(k) plan, stock purchase plan, discounts at Marriott properties, commuter benefits, employee assistance plan, and childcare discounts. Benefits are subject to terms and conditions, which may include rules regarding eligibility, enrollment, waiting period, contribution, benefit limits, election changes, benefit exclusions, and others.

Marriott HQ is committed to a hybrid work environment that enables associates to Be connected. Headquarters-based positions are considered hybrid, for candidates within a commuting distance to Bethesda, MD.

Marriott International is an equal opportunity employer. We believe in hiring a diverse workforce and sustaining an inclusive, people-first culture. We are committed to non-discrimination on any protected basis, such as disability and veteran status, or any other basis covered under applicable law.

Hybrid - 4 days in office

About Our Client

Our client is a global, operations-driven organization operating in a complex manufacturing and supply network environment. They are investing in strengthening supply planning, inventory strategy, and SIOP capabilities to better balance service, cost, and risk across regions. This role sits at the center of those efforts and will have meaningful visibility and influence across the business.

The Opportunity

This is a highly impactful supply planning leadership role for someone who enjoys both running the planning engine and fixing what’s not working. The Supply Chain Manager will own finished goods (FG) and FF&P supply planning, ensuring demand signals, constraints, and inventory policies translate into executable, accurate plans. This person will partner closely with regional and global stakeholders, drive continuous improvement, and play a key role in scenario planning and decision support.

• Key ResponsibilitiesLead FG and FF&P supply planning, ensuring alignment with demand priorities, business rules, and operational constraints
• Own dependent requirements planning from FG to FF&P, generating netted AI demand signals and completing constrained supply plans
• Execute MRP with defined freeze periods to generate accurate planned orders; own demand netting within the supply region
• Manage MRP exception handling, validating and resolving issues sequentially and ensuring completeness and accuracy of MRP outputs
• Own FG and bulk inventory planning in partnership with Inventory Management, including lead times, safety stock, and inventory targets
• Implement and refine safety stock policies to balance service levels and working capital
• Prepare supply plans by reviewing planning data, netting policies, BoMs, capacity alignment, and data accuracy (including data cleaning and validation)
• Support the SIOP process by preparing inputs for regional supply reviews and incorporating allocation decisions and global constraints
• Perform scenario modeling to evaluate trade-offs, assess risks, and support data-driven decision-making
• Coordinate execution feasibility across key stakeholders, including Tollers, Material Planners, AI Planners, and Schedulers
• Validate intercompany transfer orders generated by MRP and ensure alignment with supply priorities and stock availability
• Proactively communicate supply risks and escalate critical shortages when resolution paths are not available
• Continuously improve planning processes, tools, and standards by challenging inefficiencies and implementing best practices

• What We’re Looking For5–10 years of experience in supply planning within a complex manufacturing or distribution environment
• CPIM certification strongly preferred
• Deep expertise in MRP and dependent requirements planning, including demand netting and exception management
• Strong experience working within ERP and advanced planning systems, with the ability to interpret outputs and optimize planning parameters
• Proven ability to manage cross-functional stakeholders and operate effectively in matrixed organizations
• Analytical, data-driven mindset with experience in scenario modeling, root-cause analysis, and continuous improvement
• Sound judgment and decision-making skills, balancing short-term constraints with long-term strategy and risk mitigation
• Strong communication skills, with the ability to present supply scenarios, trade-offs, and recommendations to senior leaders
• Detail-oriented planner who also maintains a strong big-picture perspective

Why This Role

This is an excellent opportunity for a supply planning professional who wants to move beyond pure execution and play a strategic role in improving how supply decisions are made. The right person will have the chance to influence systems, processes, and outcomes — not just maintain the status quo.

• Monitor and analyze the performance of individual assets and the broader real estate portfolio.
• Create advanced financial models in Excel to evaluate asset performance, forecast results, and perform scenario and sensitivity analysis.
• Prepare recurring and ad hoc reporting for internal leadership and investors, ensuring accuracy and consistency of financial and operational data.
• Collaborate with internal teams including acquisitions, finance, accounting, property operations, and marketing to gather data and insights for investment analysis.
• Analyze the levers impacting business performance and work with operational leaders to optimize investment and pricing decisions.
• Responsible for market research to support investment decisions
• Support the development of asset-level business plans aimed at optimizing performance and increasing asset value.
• Support acquisition underwriting and due diligence processes, including financial analysis, valuation review, and risk assessment.
• Continuously improve financial models, reporting processes, and analytical tools used across the investment team.

• Bachelor's degree in Finance or a related field.
• 2-3 years of experience in real estate investment, asset management, acquisitions, portfolio management, or financial analysis.
• Advanced Excel proficiency with the ability to build complex financial models. Formal training (e.g., Wall Street Prep coursework or progress toward the CFA designation) is a plus.
• High business acumen combined with ability to work with large datasets and cull those down to actionable intelligence.
• Superior communication skills, with the ability to present insights clearly to varying audiences.
• Experience using modern data and AI tools to improve analysis and reporting efficiency is beneficial.
• Experience working with investment metrics such as IRR, asset-level returns, underwriting models, and portfolio performance analysis.
• Track record of job stability and career progression.
• Note - seeking Atlanta-based talent for this opportunity