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Artificial Intelligence • Enterprise Web • Software • Design • Generative AI
Own and close complex SaaS deals ($50k+ ACV) for mid-market accounts (300–2,500 employees). Build outbound pipeline, run full sales cycle, perform consultative discovery, negotiate multi-year contracts, collaborate with cross-functional teams, and travel (~25%) for onboarding and events.
Artificial Intelligence • Cloud • Consumer Web • Productivity • Software • App development • Data Privacy
Own the full B2B SaaS sales cycle, from outbound pipeline generation through closing and renewal. Build strategic relationships with mid-market and enterprise customers, lead discovery, apply MEDDICC or SPICED qualification, communicate business value, forecast accurately, and consistently achieve revenue targets. Collaborate with internal teams to refine go-to-market strategy, identify new use cases, and influence product and sales initiatives.
Top Skills:
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eCommerce • Fintech • Hardware • Payments • Software • Financial Services
Own the architecture and technical direction of Square’s go-to-market technology stack. Design, build, and operate production AI agents and automated workflows that improve sales productivity. Lead complex initiatives through architecture, implementation, testing, deployment, and operations; establish AI evaluation, observability, security, reliability, and human-oversight practices. Partner with Sales, Product, Data, and Engineering teams to translate business needs into scalable solutions, guide integrations and build-versus-buy decisions, and mentor engineers through influence and technical leadership.
Top Skills:
Ai AgentsCustomer Relationship Management SystemsGoLarge Language ModelsRetrieval-Augmented GenerationTool CallingWorkflow Orchestration
Founded in 2009, CLO Virtual Fashion is creating a new ecosystem for digital fashion based on its unrivaled technology in 3D clothing simulation algorithms.
CLO Virtual Fashion provides all clothing-related services from concept to design, manufacturing, marketing, fitting, and styling based on 3D clothing simulation algorithms.
Along with costume design software CLO, Marvelous Designer, and Jinny, we are involved in the entire costume journey with platforms specialized in costume content such as CLO-SET and CONNECT to build an efficient and sustainable workflow. Additionally, our solution allows physical and digital garments to be tagged together to function within the CLO system.
CLO Virtual Fashion, which is leading the global digital fashion market, currently has a total of 13 offices in 11 countries around the world, including Asia, North America, Europe, and South America, and is gradually expanding based on numerous customers from around the world.
Position Overview
We are seeking a Full-Time Researcher to join our global R&D team. In this role, you will develop and refine methodologies in areas such as physics-based simulation, geometric modeling, and intuitive design. You will work alongside our team on research initiatives in material dynamics, expressive authoring paradigms, and high-performance visualization, helping ensure our software continues to provide best-in-class solutions for our users.
Responsibilities
- Execute high-level research in computer graphics, HCI, or ML to solve simulation challenges.
- Develop intuitive workflows for garment construction that bridge the gap between 2D and 3D.
- Convert theoretical discoveries into optimized, production-ready code with our engineering teams.
- Identify and resolve architectural bottlenecks to maintain the performance of the core engine.
- Manage collaborative projects with external partners to integrate emerging tech into our roadmap.
Requirements
- PhD or Master’s in Computer Science, Physics, Mathematics, or a related field.
- 3+ years of R&D experience in graphics, physics simulation, or machine learning.
- Advanced C++ skills with experience in version control and automated testing.
- Ability to effectively communicate research findings to cross-functional teams.
- Background in discrete geometry, numerical methods, structural mechanics, rendering, or HCI/UX.
Plus if you have
- Record of impactful publications at venues like SIGGRAPH, CVPR, UIST, or Eurographics.
- High-level proficiency in GPU programming and APIs like CUDA, Metal, or WebGPU.
- Portfolio of patents, research grants, or recognized fellowships in computer graphics.
- Practical knowledge of computational fabrication, textile mechanics, or garment construction.
- Self-driven, proactive approach to solving complex problems and delivering results.
Benefits
- Healthcare Coverage (Medical/Dental/Vision Insurance)
- Paid parental and caregiving leave
- Retirement Plans including company match
- Work From Home Allowance
- Commuters Benefit
- Paid-Time Off
- 10 paid holidays plus company wide office closure
- Sick Days
- Flexible Work Hours
What you need to know about the Chicago Tech Scene
With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.
Key Facts About Chicago Tech
- Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
- Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
- Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
- Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory
