Jobs at Weekday, Inc.

Develops new industrial paint business, manages key accounts, achieves sales targets, presents coating products, negotiates pricing and contracts, maintains CRM forecasts, resolves technical customer issues with application teams, supports order fulfillment, gathers product feedback, and manages collections and receivables.

Design, develop, test, and maintain Oracle BigMachines and CPQ solutions using BML scripting. Translate business requirements into pricing, bundling, discounting, data modeling, workflow, and integration solutions. Collaborate with ERP, CRM, and technical teams; optimize code, troubleshoot production issues, document implementations, support testing, and mentor junior developers while following security, compliance, and performance best practices.

Designs and maintains multi-cloud test environments across AWS, GCP, and Azure. Builds infrastructure as code, automates provisioning and CI/CD integration, monitors system health, optimizes cloud cost and performance, and implements security hardening. The role supports load, resilience, and capacity testing while collaborating with SRE, development, and QA teams on incident response, disaster recovery, documentation, and operational excellence.

Deploys, integrates, upgrades, configures, and troubleshoots 4G and 5G Packet Core solutions across bare-metal, VNF, and CNF telecom cloud environments. The role covers SMF, UPF, PGW, and SGW implementation, call-flow analysis, interoperability testing, performance optimization, migrations, documentation, and customer support. Engineers use Linux, virtualization, containers, packet captures, Wireshark, and protocol-level debugging while collaborating with customer and cross-functional engineering teams.

Administer and optimize Adobe Workfront, implement automation solutions, support system integrations, and help teams streamline project management processes. The role requires managing multiple priorities independently, troubleshooting problems, communicating clearly with users at all levels, and ensuring efficient platform operation.

Design and validate realistic broken Linux and containerized infrastructure environments for AI systems. Build multi-service failure scenarios using Docker, Kubernetes, databases, and message queues; troubleshoot complex production-like incidents; create reference solutions, setup scripts, automated verifiers, and testing guidance. Investigate networking, storage, permissions, replication, and recovery issues while ensuring scenarios are reproducible, technically accurate, and challenging.

Analyze customer journeys, behavioral data, product interactions, and qualitative research to identify friction points and improvement opportunities. Conduct funnel, cohort, segmentation, statistical, and hypothesis analyses across web and mobile experiences. Translate insights into actionable recommendations and communicate findings to product, design, marketing, operations, and business stakeholders. Partner cross-functionally on experimentation, customer experience optimization, and data-driven continuous improvement.

Source and engage creative professionals across design, UX/UI, motion graphics, copywriting, and video production. Build and maintain talent pipelines for full-time, freelance, and contract opportunities; screen candidates and evaluate portfolios; conduct outreach; manage candidate records and sourcing metrics; and collaborate with recruitment and hiring teams to improve sourcing strategies and delivery.

Designs enterprise Databricks Lakehouse and cloud data architectures, including ingestion, transformation, governance, analytics, and streaming solutions. Leads client discovery, presales, proposals, RFP responses, effort estimation, resource planning, infrastructure costing, and solution handoff. Guides engineering teams through implementation, performance optimization, security, cloud migration, technical governance, and delivery challenges across Azure, AWS, or GCP.

Create polished illustrations, sketches, characters, environments, and visual compositions across diverse artistic styles. Interpret creative briefs, reproduce visual references, develop variations, maintain quality standards, document creative decisions and metadata, incorporate feedback, and deliver production-ready artwork on schedule. The role requires strong fundamentals in composition, color, lighting, texture, rendering, and visual storytelling, along with proficiency in digital illustration workflows and relevant creative software.

Design and validate complex engineering simulation problems for training and evaluating AI models and coding agents. Develop Python-based simulation workflows, automated tests, reference solutions, and grading systems across electrical, mechanical, and aerospace domains. Analyze AI execution logs and failure modes, validate physical plausibility and numerical convergence, refine benchmarks, and collaborate with engineering and AI research teams. This remote contractor role requires approximately 40 hours weekly, Pacific Time overlap, and weekend on-call availability.

Evaluates and compares AI chatbot responses using predefined criteria for accuracy, relevance, completeness, clarity, and quality. Documents findings, analyzes business requirements, maps processes, identifies response-quality issues, prepares reports, and collaborates with project teams. The role is a fully remote, full-time 16-week contract requiring five days per week, possible weekend work, and at least four hours of overlap with US Pacific Time.

Create, adapt, and quality-check illustrations across diverse artistic styles, including cinematic, steampunk, surreal, cyberpunk, vintage, and digital art. Translate briefs into polished visual compositions, maintain documentation and metadata, incorporate feedback, and deliver production-ready artwork on schedule. Work independently as a full-time contractor with four hours of daily overlap with Pacific Time.

Evaluates AI-generated data science and quantitative reasoning outputs; develops prompts, datasets, reference solutions, and objective evaluation benchmarks. Identifies statistical errors, flawed methodologies, and unsupported conclusions while providing structured feedback to improve model accuracy. Responsibilities include dataset validation, statistical and quantitative assessment, quality assurance, technical documentation, and clear communication of analytical findings.

Develop and evaluate backend security coding tasks for AI systems. Responsibilities include implementing backend features, fixing bugs, refactoring code, optimizing performance, identifying and remediating vulnerabilities, conducting security-focused code reviews, and creating deterministic automated tests and verifiers. The role requires strong backend engineering, application security, debugging, testing, algorithms, and software architecture skills. Work is remote, flexible, part-time, and contractor-based.

Develop and debug production-grade full-stack applications across front-end and back-end systems. Build features, APIs, databases, and data models; troubleshoot end-to-end issues; analyze unfamiliar codebases; translate implementations across programming languages; and review AI-generated and developer-written code for correctness, security, scalability, performance, and maintainability.

Develop and evaluate coding tasks for AI systems, including bug fixes, feature development, refactoring, optimization, reproducible environments, reference solutions, automated testing, and deterministic evaluation. The role also involves debugging complex codebases, reviewing contributions, documenting technical decisions, and refining evaluation criteria. Candidates should have strong software engineering fundamentals, backend or API development experience, open-source contributions, and proficiency in at least one listed programming language.

Develop coding tasks and reference solutions for evaluating AI systems. Build deterministic verifiers, test suites, scalable backend services, and APIs. Debug complex defects, assess code quality, refactor legacy implementations, optimize performance, and evaluate AI-generated technical reasoning. Document requirements and verification criteria while independently applying software engineering judgment across algorithms, system design, testing, and reliability.

Perform contract drafting, review, redlining, and simulated negotiations while evaluating AI-generated legal responses. Identify contractual risks, assess legal accuracy using structured rubrics, and provide actionable feedback to improve AI systems for contract review. Collaborate with legal, product, engineering, and research teams on datasets, evaluation guidelines, and quality standards.

Designs challenging data science and machine learning tasks, builds reproducible environments and verified reference solutions, and develops automated tests and evaluation frameworks for AI-generated code. The role analyzes AI agent performance, identifies bugs, leakage, overfitting, and methodological weaknesses, documents technical requirements, and iteratively improves task reliability and complexity.