Role Description We are seeking a Senior Solutions Architect to architect and evolve the customer enablement motion within our Customer Training and Development team. This is a strategic technical role: - Engage pre- and post-sale with enterprise accounts to scope enablement as part of larger deals. - Partner with Professional Services, Technical Advisors, and Engagement Managers to design customer-specific upskilling paths. - Use AI to deliver just-in-time curriculum modifications tailored to each customer’s technical environment. - Own curriculum evolution against field signal, serving as a credible technical peer to enterprise architects and CISOs. Qualifications - CCIE-level expertise (EI or SP) highly recommended. - AWS Certified Advanced Networking or Microsoft Azure Network Engineer Associate (AZ-700) required. - Expert-level knowledge of BGP (Routing Policies, Path Selection), High Availability (HA) design, and VPN technologies (IPsec, OpenVPN). - Proven expertise in designing and staging complex multi-cloud architectures across AWS, Azure, GCP, and OCI. Requirements - Ability to maintain audience focus and energy during intensive multi-day workshops using interactive whiteboarding and visual storytelling. - Exceptional ability to simplify complex distributed architectures for various technical personas through verbal and visual explanation. - 7+ years in Solutions Architecture, Network Engineering, or Technical Training. - Self-motivated program owner capable of running enablement engagements end-to-end with minimal oversight. Benefits - 100% of employee premiums and 88% of dependent(s) premiums for medical, dental, and vision coverage. - 401(k) match. - Short and long-term disability, life/AD&D insurance. - $1,000/year education reimbursement. - Flexible vacation policy.

Role Description This role will be joining a large retail project development team to move and ingest data as needed. This role will be building Python services within a distributed highly available system, leveraging and possibly updating CI/CD pipelines and incorporating automated testing using Pytest. This includes crafting the logic that solves data problems that come up when dealing with disparate systems, like data ingress, quality, governance, and transformation. - Develop and maintain Python services to support data movement and ingestion for retail clients. - Design and implement solutions for data ingress, quality, governance, and transformation across disparate systems. - Collaborate with cross-functional teams to understand data requirements and ensure seamless integration. - Leverage and update CI/CD pipelines to ensure efficient and reliable deployment of services. - Incorporate automated testing using Pytest to ensure the quality and reliability of the codebase. - Troubleshoot and resolve issues related to data processing and system performance. - Ensure high availability and scalability of the distributed system. - Document technical solutions and processes to ensure maintainability and knowledge sharing. - Stay up-to-date with industry best practices and emerging technologies to continuously improve the development process. Qualifications - Bachelor's degree in Computer Science, Information Technology, or a related field. - Proven experience as a Python Developer, preferably in a Retail services environment. - Strong understanding of data processing, data quality, and data governance principles. - Experience with distributed systems and high availability architectures. - Proficiency in CI/CD tools and practices. - Hands-on experience with automated testing frameworks, particularly Pytest. - Excellent problem-solving skills and attention to detail. - Strong communication and collaboration skills. - Ability to work independently and as part of a team in a fast-paced environment. Requirements - Experience with cloud platforms such as AWS, Azure, or Google Cloud. - Familiarity with containerization technologies like Docker and Kubernetes. - Knowledge of financial regulatory requirements and audit processes. - Experience with other programming languages and frameworks. Company Description

• Design technical solutions that will drive the transformation of the Order to Cash/Plan to Produce/Procurement business functions efforts • Configure SAP S/4HANA FICO modules including GL, AP, AR, Asset Accounting and Cost Center Accounting • Drive the technology roadmaps that will drive the functions in scope into the future leveraging technology and industry innovation • Develop and maintain a detailed understanding of the business processes and associated software configuration with respect to Order To Cash, Plan To Produce and Procurement applications in scope • Foster and maintain ongoing internal relationships with the functional teams and their respective Centers Of Excellence (COEs) • Establish strategic functional roadmaps for the business processes in scope that are aligned to business strategy and respective business requirements • Develop a supporting strategic technical roadmap to support the functional roadmap. • Where appropriate, justified and in compliance with Enterprise Architecture guidelines, introduce innovation and automation into solutions architecture • Development of Reference Architecture Documents for the functions and business processes in scope and respective supporting systems • Establish/create High Level Design for New Business Processes and Projects that deliver solutions to business problems and opportunities

Role Description Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Exceptional Data Scientists Type: Contract Compensation: $60–$100/hour Location: Remote Commitment: 20–40 hours/week Role Responsibilities - Design experiments and gather data for machine learning applications. - Preprocess and analyze large datasets to build predictive models. - Evaluate and improve AI models using TensorFlow or PyTorch. - Collaborate with engineering teams to deploy production-ready solutions. - Write, review, and validate prompt-based questions for AI system training. - Work independently and asynchronously to meet deadlines and improve model performance. Qualifications - 3+ years of professional experience in data science or applied analytics. - Highly skilled in Python and Jupyter notebooks. - Experience using libraries including numpy, pandas, scipy, sympy, scikit-learn, torch, tensorflow. - Bachelor's degree in data science, statistics, computer science, or related field in the U.S., Canada, New Zealand, UK, or Australia. - Strong background in exploratory data analysis, statistical inference, machine learning workflows, model evaluation, feature engineering, data preprocessing, data wrangling, A/B testing, experimentation, or causal inference. - Excellent verbal and written communication skills. - Strong attention to details. Requirements - Start Date: Early September; applications reviewed on a rolling basis. Application Process - Submit your resume or project portfolio to get started. - Complete a brief form outlining your technical background and agent usage experience. - Applications are reviewed continuously, and selected professionals will be contacted with next steps. Resources & Support - For details about the interview process and platform information, please check: Interview Process . - For any help or support, reach out to: support@mercor.com .