Jobs at Weekday, Inc.

Lead and deliver Workday Adaptive Planning implementations: define scope, design KPIs and dashboards, implement budgeting/forecasting models, perform scenario and sensitivity analysis, support clients, and contribute to sales/presales activities.

Deliver SAP ABAP development and solutions by translating requirements into practical implementations, collaborating with stakeholders, maintaining documentation, ensuring quality and process compliance, troubleshooting issues, and contributing improvements to enhance team productivity and operational efficiency.

Design and deliver user-centred interfaces for consumer-facing digital products. Create wireframes, high-fidelity mockups and prototypes, conduct user research and usability testing, apply and improve the design system, collaborate with product and engineering for handoffs, and use analytics and AI tools to inform and speed design decisions.

Hands-on QC Engineer working on the shop floor to inspect incoming materials, in-process operations, and finished sheet-metal cookware. Develop inspection checklists, AQL sampling plans, SOPs, and QC reporting. Perform first-piece, in-process, and final inspections, conduct root-cause analysis, drive CAPA, maintain quality records, and improve processes to reduce rejection, rework, and scrap.

Lead design, implementation, and scaling of enterprise observability platforms (metrics, logs, traces). Migrate legacy monitoring to cloud-native solutions, manage observability on Kubernetes/OpenShift, build dashboards/alerts, develop Helm charts, automate workflows with Python/Bash, troubleshoot production issues, and provide architectural and team leadership to improve reliability and incident response.

Perform high-volume outbound prospecting to semiconductor and deep-tech engineering prospects, qualify leads, book meetings and demos, maintain CRM records, handle objections, and collaborate with sales leadership to build a healthy pipeline and refine outreach strategies.

Lead and manage a pod of Growth Development Reps (GDRs) to generate sales-accepted pipeline across enterprise, Healthcare, Energy, and inbound lanes. Hire, ramp, coach, set targets, maintain CRM hygiene, run play tests, align handoffs with AEs, and report pod-level pipeline and performance. Own pipeline strategy, lane boundaries, and cross-functional coordination with Marketing, Sales, Ops, and Recruiting.

Design, develop, and maintain PeopleSoft v9.2+ applications across Core HR, NA Payroll, Benefits, and Time & Labor. Build integrations via Integration Broker and web services, use PeopleCode/Application Engine/SQR/COBOL/SQL for custom development, implement AWE, Fluid UI, Activity Guides and Pivot Grids, and support enterprise deployments and troubleshooting.

Design and build the core backend and platform systems from scratch; set architecture, infrastructure, data and tooling standards; implement reliable LLM agents and RAG solutions over organizational data; own high-impact projects end-to-end and operate systems at scale in an early-stage, high-autonomy engineering role.

Design and maintain scalable Snowflake data warehouses and ETL/ELT pipelines. Lead Oracle-to-Snowflake migrations, including assessment, mapping, transformation, validation, and reconciliation. Develop data models and advanced SQL workflows, optimize Snowflake performance, troubleshoot pipeline and data quality issues, and support secure, governed, monitored cloud data platforms. Collaborate with architects, analysts, application teams, and business stakeholders on enterprise data modernization.

Evaluate and annotate physics content, create problem sets and technical documentation, and assess AI-generated responses for scientific accuracy. Contribute to dataset creation and provide expert feedback to improve AI model training. Collaborate remotely with project teams to ensure timely, high-quality deliverables and improve evaluation methodologies.

Contractor engineering SME to review and create technical engineering content for AI training: analyze documentation, develop examples and datasets, evaluate AI outputs for technical accuracy, and collaborate with teams to improve model performance and processes.

Evaluate and author high-quality computer science content to improve AI model reasoning and accuracy. Analyze complex CS problems, create scenarios/datasets, review AI outputs for correctness, and collaborate remotely to refine guidelines and documentation.

Contractor role to create original, high-quality financial documents (reports, analyses, models) with rich visuals (tables, charts, graphs) to train AI. Ensure accuracy, anonymize sensitive data, contribute long-form documents (10–100 pages), and clarify submissions as needed.

Develop and maintain engine-level systems, game modding tools, and editor extensions. Implement and optimize rendering pipelines and shaders using DirectX/Vulkan/OpenGL/Metal. Profile and optimize CPU/GPU/memory and multithreaded workloads, debug complex graphics issues, and collaborate with engineers, artists, and designers to deliver high-quality, maintainable C++ engine code.

Remote contractor role to create and evaluate mathematical problems, proofs, and datasets to train and improve AI models. Assess AI-generated solutions for correctness, produce technical documentation, and collaborate with cross-functional teams to develop benchmark datasets and provide actionable feedback to improve model reasoning.

Analyze and interpret U.S. federal tax laws and Treasury Regulations, validate AI-generated tax responses, identify inaccuracies, create concise tax summaries, and support development of structured tax law evaluation frameworks to train and evaluate AI models.

Lead end-to-end analytics for credit and risk use cases: extract and aggregate large datasets, run advanced analyses, build Tableau dashboards, deliver insights to stakeholders, and mentor junior analysts to drive data-led decisions.

Lead and grow a team building scalable, real-time data systems. Architect and implement Java-based backend services and Apache Flink streaming pipelines, collaborate with cross-functional teams, enforce engineering best practices (CI/CD, testing, observability), manage project delivery and performance, and resolve distributed system performance issues.

Provide clinical expertise to improve AI mental-health tools: annotate clinical interactions, evaluate psychotherapy datasets, design psychological testing scenarios, apply CBT frameworks, collaborate with engineers, ensure ethical standards, and drive research-backed AI improvements.