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Lead Salesforce projects independently from requirements analysis to solution design while acting as a sparring partner for clients. Coordinate process optimizations and mentor junior consultants to strengthen team expertise and culture.
The role involves managing and expanding the SAP Supply Chain business by developing customer relationships and identifying new project potentials. You will design and implement tailored solutions across production, procurement, and sales modules to create sustainable value for clients.
The role involves strategically advising clients on SAP FI tax reporting and implementing SAP Document and Reporting Compliance (DRC). You will actively help build the tax reporting consulting field at mindsquare and mentor junior consultants.
The role involves taking strategic and technical responsibility for SAP form landscapes, specifically using Adobe Forms. Responsibilities include advising customers on optimization, mentoring junior consultants, and developing the internal SAP service area.
Take responsibility for demanding SAP SD projects by analyzing customer requirements and translating them into sustainable technical and conceptual solutions. Provide high-level consulting to clients and support junior consultants in the development of the SD area.
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The role involves analyzing customer HR requirements and designing sustainable solution architectures within the SAP HCM environment. You will lead workshops, create technical concepts, and collaborate with sales and delivery teams to implement holistic customer solutions.
Trainees will undergo a three-month program to become Senior IT Consultants for ERP systems, focusing on SAP and Salesforce. Responsibilities include programming, consulting, process design, and implementing AI to improve business processes.
Develop into a Senior IT Consultant in IT Security through a three-month trainee program including SAP/ABAP certifications. Act as an interface between specialist departments, administrators, and management to secure systems against internal and external attacks.
Analyze, design, and implement AI-based solutions to optimize business processes for clients ranging from SMEs to international corporations. Progress through a trainee program to become a Senior IT Consultant within 2-3 years.
Trainees will undergo a three-month program focusing on SAP/ABAP and Salesforce certifications before transitioning into senior consulting roles. Responsibilities include programming, consulting, and process design for clients ranging from medium-sized businesses to international corporations.
Design and implement SAP SuccessFactors Employee Central as a central HR master data system, ensuring stable data models and organizational structures. Take functional responsibility for EC topics, moderate workshops, and translate customer requirements into robust SAP standard solutions.
Design and implement AI-driven automation systems to streamline tenant management, payments, and property maintenance workflows. Partner with product managers to translate operational realities into scalable technical architectures and drive projects from concept to production.
Own and optimize the reliability of communication channels including IP telephony, SMS, email, and WhatsApp. Manage routing logic, system integrations, and the technical onboarding of telecommunication stacks during agency acquisitions.
Manage internal IT operations, employee lifecycle technical support, and the integration of technology stacks from acquired agencies. Coordinate with MSPs and automate manual processes to improve operational efficiency.
This is a resume collection form for participants of the Metaculus Competition. The purpose is to allow Bridgewater to maintain contact with potential candidates.
Develop software infrastructure and algorithms to transform raw part designs into manufacturable 3D representations. Build high-performance geometry pipelines and tools for geometric healing, simplification, and manufacturability analysis.
Collaborate across departments to enhance AI-driven design and manufacturing processes. Contribute to various stages of production, including software development, factory operations, and business strategy.
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Manage and improve CI/CD pipelines and orchestrate compute workloads across cloud and bare-metal GPU clusters. Build internal tooling and partner with ML and backend teams to scale infrastructure for high-performance simulation and factory automation.
Design and implement scalable backend systems, APIs, and data pipelines to power an AI-driven manufacturing platform. Collaborate with cross-functional teams to optimize performance-critical workloads and maintain simulation infrastructure.
Develop high-fidelity simulations for thermal, structural, and material processes to reduce tooling lead times. Collaborate with software and manufacturing teams to integrate simulation pipelines into cloud and on-prem infrastructure.
Develop and maintain a comprehensive framework to assess and monitor protocol-wide risk and on-chain DeFi exposure. This includes conducting strategy analysis, risk scoring, and creating stress testing models to ensure protocol resilience.
Architect and scale the systems powering the revenue engine by designing scalable workflows and AI-powered automations. Manage data flows and integrations across the GTM stack to optimize prospecting and campaign orchestration.
Manage day-to-day accounting operations including journal entries, account reconciliations, and the full AP/AR cycles. Support the monthly close process and partner with the Accounting Manager on financial reporting and process automation.
Own the strategy and evolution of high-impact web experiences to drive business outcomes and conversions. Collaborate with Product Marketing and Engineering to translate positioning into effective, data-driven digital experiences.
Review and improve training scenarios used for AI teaching assistants. Upgrade weak interactions to ensure they effectively test the model's educational capabilities.
Conduct realistic multi-turn political conversations with AI to test neutrality and balance. Evaluate AI responses based on specific guidelines and provide evidence-based justifications for the ratings.
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Define and justify essential financial metrics and KPIs across various sectors and business models. Interpret multi-year financial results and apply sector-specific patterns to create gold-standard answer keys for AI training.
Review and improve AI-generated health scenarios to ensure they are realistic and safe. Identify weak constraints and upgrade tasks to better represent real-world care-seeking moments.
Review and improve realistic financial scenarios used to train AI financial assistants. Identify critical constraints and rewrite tasks to ensure the AI model can handle high-stakes, real-world client situations.
Review and improve real-world legal scenarios used to train AI assistants. Identify flawed reasoning, jurisdictional inaccuracies, and procedural gaps to upgrade the quality of legal judgment tests.
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