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Real people. Real service. At SupplyHouse.com , we value every individual team member and cultivate a community where people come first. Led by our core values of G enerosity, R espect, I nnovation, T eamwork, and GRIT, we’re dedicated to maintaining a supportive work environment that celebrates diversity and empowers everyone to reach their full potential. As an industry-leading e-commerce company specializing in HVAC, plumbing, heating, and electrical supplies since 2004, we strive to foster growth while providing the best possible experience for our customers. We are opening a new fulfillment center in Atlanta, GA and are looking for a General Manager to join our growing Fulfillment Center network. This individual will report to our Senior Director of Fulfillment and will be responsible for leading the establishment and day-to-day operations of our new high-volume facility. This individual will oversee all aspects of site performance, ensuring customer orders are processed accurately, efficiently, and on time, with a strong focus on safety, quality, productivity, cost control, and employee engagement. As the leader of our brand-new fulfillment center, this individual will play a critical role in building the leadership team, implementing processes, preparing the site for launch, and creating a strong foundation for long-term success. We’re looking for someone who is passionate about leading people, energized by the opportunity to build something from the ground up, and committed to operational excellence. Job Type: Full-Time, Exempt Location: McDonough/Locust Grove area of Atlanta, GA Schedule: This role oversees our new Atlanta, GA fulfillment center. While this position generally follows a schedule, operational demands during peak and seasonal periods may require leaders to work additional hours beyond their regular schedule. Leaders are expected to maintain a flexible schedule and adjust their working hours as needed to support the business and their tea

Real people. Real service. At SupplyHouse.com , we value every individual team member and cultivate a community where people come first. Led by our core values of G enerosity, R espect, I nnovation, T eamwork, and GRIT, we’re dedicated to maintaining a supportive work environment that celebrates diversity and empowers everyone to reach their full potential. As an industry-leading e-commerce company specializing in HVAC, plumbing, heating, and electrical supplies since 2004, we strive to foster growth while providing the best possible experience for our customers. We are opening a new fulfillment center in Atlanta, GA and are looking for an Assistant General Manager to join our growing Fulfillment Center network! This individual will report to our General Manager and will be responsible for managing, coordinating, and leading all Inbound and Outbound operations while helping to establish and scale our new fulfillment center. Working closely with the General Manager, this individual will drive day-to-day performance by ensuring customer orders are processed accurately, efficiently, and on time, with a strong focus on safety, quality, productivity, employee engagement, and continuous improvement. As part of the leadership team for our brand-new fulfillment center, this individual will play an integral role in developing the team, implementing processes, preparing the site for launch, and creating a strong foundation for long-term success. If you are passionate about leading people, energized by the opportunity to build something from the ground up, and committed to operational excellence, we’d love to hear from you! Job Type: Full-Time, Exempt Location: Atlanta, GA - McDonough/Locust Grove area Schedule: This role helps oversee our new Atlanta, GA fulfillment center. While this position generally follows a schedule, operational demands during peak and seasonal periods may require leaders to work additional hours beyond their regular schedule. Leaders are expected

ABOUT CUBIST Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. ROLE Quantitative alpha research requires mastery of multiple domains. The best research requires original research ideas, good intuition, strong data analysis skills, and good research planning. Our research directly drives our investment decisions. This role is highly selective. We have a long history of training extraordinarily talented academic researchers to succeed in the investment services industry. Prior experience in the financial services industry is not required. RESPONSIBILITIES Provide research assistance to full-time researchers Assist with data collection and preliminary analysis Follow, digest, analyze and improve upon the latest academic research DESIRABLE CANDIDATES Ph.D. candidates in finance, economics, mathematics, statistics, physics, computer science, or other quantitative discipline. Programming in any of the following: R, Python, or C++. Experience with SQL. Solid research experience in the field of the candidate’s specialty. Strong analytical and quantitative skills. Detail-oriented. Demonstrated ability to learn and apply new methodologies to real life problems. Willingness to take ownership of his/her work. Ability to work both independently and collaboratively within a team. Strong desire to deliver high quality results in a timely fashion. Prior experience in the financial services industry is not required.

Here’s a summary of the role: Every enterprise deal reaches the moment where someone in security says “prove it.” You’re the person who answers — quickly, accurately, and with the evidence to back it up. As an Analyst II on our Trust & Assurance team, you’ll own a live queue of security questionnaires, third-party due diligence assessments, RFP security sections and customer assurance requests. You’ll draft at speed using AI-assisted response tooling, then verify every answer against our approved answer library, current SOC 2 and ISO 27001 certifications and the underlying evidence before it leaves your hands. Accuracy is the whole game here: a wrong answer in a customer questionnaire is a commitment we didn’t mean to make. The best part is that you won’t just work the queue — you’ll shrink it. Every recurring question you turn into a published answer on our trust site is a ticket that never comes back. If you’ve spent two to four years in security GRC, compliance, IT audit or customer assurance, you’re precise under volume, and you like being measured on turnaround time and first-pass accuracy, you’ll do well here. Here’s a breakdown of what you’ll do (not all of it, just the important stuff): Own a high-volume queue of security questionnaires, due diligence assessments, RFP security sections and assurance requests, delivering accurate responses within SLA. Use AI-assisted response tooling to draft at speed, then verify every answer against the approved answer library, current certifications and underlying evidence before it goes out. Triage and route incoming requests using established playbooks — resolving the routine independently and escalating anything novel, contractual or architecturally complex. Maintain and expand the answer library by adding approved answers, retiring stale ones and flagging inconsistencies, so the same question never has to be researched twice. Build out trust site and customer-facing content, and show commercial teams how to

Position Overview: The Solutions Sales Director will play an instrumental role in driving revenue growth for Diligent’s solutions across existing and new accounts. This role is focused on candidates with strong expertise in entity management space , either as a practitioner (e.g., company secretary) or someone who has directly used entity management tools in a commercial or operational setting. The Solutions Sales Director is responsible for managing larger, complex accounts with longer sales cycles and driving adoption of the Diligent One Platform. This individual contributor position manages the full sales cycle, from initial prospect/customer meetings through to deal completion, while orchestrating internal expertise to deliver on and grow accounts. Providing coaching, guidance, and support to Sales stakeholders is a key element to enable team members to learn best practices. Success in this role is measured by expanding product usage in existing customers, migrating customers to the Diligent One Platform, and selling to new accounts. Key Responsibilities: Demonstrate and maintain expert-level knowledge of Diligent’s entity and subsidiary management solutions. Prospect and manage new and existing business within the designated territory, focusing on larger, complex accounts with longer sales cycles. Apply a consultative ‘solutions selling’ approach, using deep domain expertise to understand customer needs and position the Diligent One Platform effectively. Leverage industry-focused insights to create long-term competitive advantages for customers. Expand strategic customer relationships and drive growth across multiple areas of the organisation. Gather feedback from customers on needs, products, and features; collaborate with product management and marketing to drive improvements. Develop strategic account plans that generate new business and upsell opportunities, coordinating cross-functional teams to execute plans. Manage the end-to-end sales cycle using

Position Overview Diligent is looking for an experienced GRC Advisor to join the team and work on Key accounts to drive adoption and retention and identify areas for expansion within our platform. This position will leverage our GTM, and value drivers established through combining people, process, and technology. If you are anything like the talented GRC Advisors at Diligent then this feeling you have, might be the desire to serve others- but you are blinded by the limits placed on you in your current role. The Client Success Advisor role is key to Diligent’s Customer Success retention strategy. Key Responsibilities Provide guidance and best practices on configuring, customizing, and optimizing the functionality of the GRC platform and modules to align with clients’ business processes and objectives. Conduct in-depth assessments of clients’ GRC requirements, objectives, and challenges to recommend tailored solutions to address their business needs and goals. Collaborate with clients on internal roadmaps, governance, risk, and compliance requirements to be implemented within Diligent’s platform. Ensure proper understanding and adoption of the platform solutions to identify at-risk clients and help increase usage of the software and modules. Partner closely with internal Product, Customer Success, Support, and Sales teams to drive continuous improvement of the platform based on client use cases. Monitor industry trends, regulatory developments, and emerging best practices in the GRC landscape to proactively share insights and recommendations with clients from a subject matter expert perspective. Required Experience/Skills Minimum of 5-7 years of experience in a client-facing role within the legal, compliance, and entity management or subsidiary governance industry. Adaptive mindset and ability to drive out a meaningful path to how our customers see tangible business value. Ability to build relationships both internally and externally to understand the underpinni

Position Overview: The Solutions Sales Director will play an instrumental role in driving revenue growth for Diligent’s solutions across existing and new accounts. This role is focused on candidates with strong expertise in entity management space , either as a practitioner (e.g., company secretary) or someone who has directly used entity management tools in a commercial or operational setting. The Solutions Sales Director is responsible for managing larger, complex accounts with longer sales cycles and driving adoption of the Diligent One Platform. This individual contributor position manages the full sales cycle, from initial prospect/customer meetings through to deal completion, while orchestrating internal expertise to deliver on and grow accounts. Providing coaching, guidance, and support to Sales stakeholders is a key element to enable team members to learn best practices. Success in this role is measured by expanding product usage in existing customers, migrating customers to the Diligent One Platform, and selling to new accounts. Key Responsibilities: Demonstrate and maintain expert-level knowledge of Diligent’s entity and subsidiary management solutions. Prospect and manage new and existing business within the designated territory, focusing on larger, complex accounts with longer sales cycles. Apply a consultative ‘solutions selling’ approach, using deep domain expertise to understand customer needs and position the Diligent One Platform effectively. Leverage industry-focused insights to create long-term competitive advantages for customers. Expand strategic customer relationships and drive growth across multiple areas of the organisation. Gather feedback from customers on needs, products, and features; collaborate with product management and marketing to drive improvements. Develop strategic account plans that generate new business and upsell opportunities, coordinating cross-functional teams to execute plans. Manage the end-to-end sales cycle using

Position Overview The Senior Solutions Sales Executive is a strong solution specialist with deep working knowledge of Diligent’s Risk & Audit products. This role supports revenue growth by understanding customer needs, positioning the right solutions, and helping customers address specific and sometimes complex Risk & Audit challenges. This is an individual contributor role focused on engaging with customers, supporting opportunities, and partnering closely with Account Executives throughout the customer journey. As a trusted solution partner, the Solutions Sales Executive II provides product and domain expertise during co-selling and solution discussions, helping to influence customer decisions. The role also includes contributing to shared learning by exchanging knowledge and best practices with peers across the sales organisation. This position suits a commercially aware, collaborative professional who enjoys working in a solution-led sales environment, influencing outcomes through expertise, and consistently delivering results while living Diligent’s values. Key Responsibilities Demonstrates strong technical and domain knowledge of Diligent’s Risk & Audit products and solutions. Applies sound judgment, product expertise, and analytical thinking to recommend solutions that address customer challenges, including more complex use cases with appropriate support. Uses a solution-selling approach to understand customer needs and develop tailored solutions aligned to the Diligent One Platform. Maintains high levels of prospect engagement and satisfaction through proactive outreach, relevant insights, and consistent follow-up to support opportunity creation and progression. Partners with the Sales team on account planning, proposals, presentations, and other sales materials that clearly articulate solution value and technical capabilities. &n

Position Overview: The Solutions Sales Director will play an instrumental role in driving revenue growth for Diligent’s solutions across existing and new accounts. This role is focused on candidates with strong expertise in entity management space , either as a practitioner (e.g., company secretary) or someone who has directly used entity management tools in a commercial or operational setting. The Solutions Sales Director is responsible for managing larger, complex accounts with longer sales cycles and driving adoption of the Diligent One Platform. This individual contributor position manages the full sales cycle, from initial prospect/customer meetings through to deal completion, while orchestrating internal expertise to deliver on and grow accounts. Providing coaching, guidance, and support to Sales stakeholders is a key element to enable team members to learn best practices. Success in this role is measured by expanding product usage in existing customers, migrating customers to the Diligent One Platform, and selling to new accounts. Key Responsibilities: Demonstrate and maintain expert-level knowledge of Diligent’s entity and subsidiary management solutions. Prospect and manage new and existing business within the designated territory, focusing on larger, complex accounts with longer sales cycles. Apply a consultative ‘solutions selling’ approach, using deep domain expertise to understand customer needs and position the Diligent One Platform effectively. Leverage industry-focused insights to create long-term competitive advantages for customers. Expand strategic customer relationships and drive growth across multiple areas of the organisation. Gather feedback from customers on needs, products, and features; collaborate with product management and marketing to drive improvements. Develop strategic account plans that generate new business and upsell opportunities, coordinating cross-functional teams to execute plans. Manage the end-to-end sales cycle using

Scale works with the industry’s leading AI labs to provide high quality data and accelerate progress in GenAI research. We are looking for Research Scientists and Research Engineers with expertise in LLM post-training (SFT, RLHF, reward modeling). This role will focus on optimizing data curation and eval to enhance LLM capabilities in both text and multimodal modalities. In this role, you will develop novel methods to improve the alignment and generalization of large-scale generative models. You will collaborate with researchers and engineers to define best practices in data-driven AI development. You will also partner with top foundation model labs to provide both technical and strategic input on the development of the next generation of generative AI models. You will: Research and develop novel post-training techniques, including SFT, RLHF, and reward modeling, to enhance LLM core capabilities in both text and multimodal modalities. Design and experiment new approaches to preference optimization. Analyze model behavior, identify weaknesses, and propose solutions for bias mitigation and model robustness. Publish research findings in top-tier AI conferences. Ideally you’d have: Ph.D. or Master's degree in Computer Science, Machine Learning, AI, or a related field. Deep understanding of deep learning, reinforcement learning, and large-scale model fine-tuning. Experience with post-training techniques such as RLHF, preference modeling, or instruction tuning. Excellent written and verbal communication skills Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc.) and/or journals Previous experience in a customer facing role. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined du

This role begins at Tier 0, where agents ramp up to Tier 1 readiness over their first few weeks. The Tier 0 Support Agent independently handles a broad range of contributor support issues, including moderately complex and nuanced cases requiring sound judgment, investigation, and clear communication. This role works cross-functionally to ensure contributors receive accurate, timely, and thoughtful support while helping identify opportunities to improve workflows and documentation. This role is well-suited for experienced support professionals who are comfortable operating autonomously and navigating ambiguity in a fast-paced environment. You Will: Resolve routine and moderately complex contributor inquiries across email and chat support channels using established workflows and best judgment. Communicate clearly, empathetically, and professionally. Document investigations, actions taken, and resolutions thoroughly in Zendesk or equivalent systems. Identify issues outside the tier’s scope and escalate with clear context and documentation. Contribute feedback on workflows, macros, or documentation to improve efficiency and contributor experience. Stay current on relevant process and product updates through the provided resources. Ideally You'd Have: Prior experience in high-volume customer support, platform support, or similar. Experience working remotely, with demonstrated ability to manage work independently and prioritize tasks without direct supervision. Strong written and verbal English communication skills, with the ability to communicate clearly and professionally. Familiarity with customer service SaaS tools, Slack, and Google Workspace. Working Model & Tools: This is an independent contractor role, responsible for providing agreed-upon services and deliverables for an estimated six-month term. Continued engagement or potential conversion to full-time employment may be considered at the company’s discretion, based on performance and business needs. Company

Scale works with the industry's leading AI labs to provide high quality data and accelerate progress in GenAI research. We are looking for Research Scientists and Research Engineers with expertise in LLM post-training (SFT, RLHF, reward modeling) and evaluation. This role is on the evaluation pod within the GenAI Research Organization and will focus on building benchmarks and diagnosing model failure modes in both text and multimodal modalities. In this role, you will develop rigorous evaluations and diagnostic methods that reveal where frontier models fail and why. You will collaborate with researchers and engineers to define best practices in evaluation-driven AI development. You will also partner with top foundation model labs to translate failure analysis into technical and strategic input on the next generation of generative AI models. You will: Analyze model behavior to identify, characterize, and diagnose failure modes in frontier LLMs and Agents. You’ll identify everything from capability gaps and reasoning errors to robustness and alignment issues, all focusing on RCA. Design and build benchmarks and evaluation methods that measure LLM capabilities in both text and multimodal modalities. Apply post-training expertise (SFT, RLHF, reward modeling) to connect observed failures to the data and training interventions that address them. Publish research findings in top-tier AI conferences. Ideally you’d have: Ph.D. or Master's degree in Computer Science, Machine Learning, AI, or a related field. Deep understanding of deep learning, reinforcement learning, and large-scale model fine-tuning. Experience with post-training techniques such as RLHF, preference modeling, or instruction tuning, and with LLM evaluation or benchmark development. Excellent written and verbal communication skills. Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc.) and/or journals. Previous experience in a customer facing r

Scale’s Generative AI business unit is experiencing historic growth. As the Community Manager, you will spearhead initiatives connecting hundreds of thousands of expert contributors on our platform. This is a strategic operational role requiring the execution of an operator, program manager, and creative writer. You’ll need an entrepreneurial mindset, operational rigor, and the ability to communicate effectively with diverse stakeholders across internal and external community channels. Scale’s mission is to develop reliable AI systems for the world’s most important decisions. Our Generative AI unit partners with the world's most advanced research teams to improve their models with human data. You will ensure that our global network of contributors stay engaged and informed so that they can do their best work. You will manage communications, execute virtual campaigns and events, and develop strategies to grow and retain our contributor base. This pivotal role shapes community culture, facilitates a thoughtful contributor experience, and harnesses the energy of our community in order to achieve high-level business goals. You must employ creative problem-solving to resolve complex operational challenges and manage the communications cadence across diverse stakeholders. In this role you will: Create strategies to increase participation and satisfaction, overseeing external platforms like Reddit and managing our internal Outlier Community Develop systems to efficiently channel questions, feedback, and disputes across our platforms and social channels Lead with vision: Set direction for multi-team areas and inspire clarity and alignment Organize virtual events to foster connection and monitor community sentiment in order to proactively mitigate risk and address concerns Leverage user feedback, insights, and quantitative metrics to drive improvement in product and operational strategies Enable the team: Instill ownership, drive cross-team collaboration, and remove structur

About the team: Scale is growing rapidly, and joining the Global Public Sector team is an opportunity to work on one of the most rapidly expanding teams at Scale. This team is responsible for generating, executing, and fostering Scale’s work outside of the United States. There are three core types of work involved: Building custom AI applications for government Providing high-quality training data for research institutions building LLMs from scratch Partnerships, upskilling, and advisory About the role: As the Engagement Manager, you will be responsible for establishing deep customer and prospect relationships, proactively identifying opportunities where Scale can build custom AI applications to improve lives for citizens and residents, overseeing the execution to ensure timelines are met and/or communicated effectively, interfacing with premier research institutions to discuss how Scale can best support them, and partnering with organizations who are looking to train and educate people on how to use AI, AI safety, and more. You and your team will work closely with the business development and go-to-market team, the product and engineering execution teams, and various customers and prospects to ensure success. The ideal candidate has a nose for value and opportunity, is highly personable and can build relationships with all types of stakeholders, is an excellent communicator, is highly organized, and has a demonstrated track record of high-achievement. They are naturally empathetic and excel at building long-term relationships through diligent problem-solving and thoughtful, strategic discussions. The blend of customer engagement, operations, and business development to drive our most important outcomes makes this a unique and exciting role at the heart of one of Scale's most exciting growth businesses. You will: Drive the process of identifying high-value use cases for custom LLMs that Scale can build within government entities Partner

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. Tenstorrent is seeking an Physical Design Engineer to lead cross-functional efforts to solve complex physical design challenges and develop end-to-end RTL-to-GDS methodologies across advanced nodes, with a strong focus on PPA and runtime improvements. The engineer will architect, integrate, and deploy AI/ML-driven solutions into production physical design flows, creating custom CAD tools and partnering with internal teams and EDA vendors to drive next-generation, ML-enabled capabilities. This role is hybrid, based out of Santa Clara, CA or Austin, TX or Fort Collins, CO. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who you are BS in Electrical or Computer Engineering (or equivalent experience) with 5+ years in Physical Design CAD methodology at advanced nodes. Proven track record improving PPA and/or runtime on high-performance, low-power taped-out designs. Hands-on with industry-standard EDA tools (e.g., Fusion Compiler) across synthesis, P&R, STA, signoff, and hierarchical flows. Strong Python/Tcl and data skills, with interest or experience in ML frameworks (PyTorch, TensorFlow), and the ability to drive complex projects independent