Weekday (YC W21)

Consultant

• Seeking a highly experienced Oracle EBS Techno-Functional Consultant with strong expertise in Oracle E-Business Suite R12, particularly across Finance and SCM modules
• Lead implementations, enhancements, and provide L2/L3 production support within enterprise or manufacturing environments
• Bridge functional business requirements with robust technical solutions, ensuring scalable, optimized, and compliant ERP systems while collaborating closely with business stakeholders, functional teams, and technical architects in a dynamic project environment

Senior Oracle EBS Techno-Functional Consultant

Backend Engineer

• Lead large-scale Customer Communications Management (CCM) transformations powered by the Quadient Inspire platform.
• Define scalable document architecture, driving enterprise integrations, and ensuring high-performance communication solutions.
• Act as the technical authority across complex CCM programs.
• Shape solution design, guide distributed engineering teams, and partner with stakeholders to deliver communication systems.
• Perform architecture & solution design, technical leadership, integration & enterprise alignment, and estimation & delivery oversight.

Enterprise CCM Technical Architect

Full-stack Engineer

• Own major backend and frontend components of the platform, ensuring performance and reliability
• Contribute to scalable and maintainable architecture design within a growing SaaS ecosystem
• Review and enhance existing system design, APIs, and data models
• Make pragmatic technical decisions that balance speed of execution with long-term system stability
• Design and develop backend services using .NET and C# as primary technologies, with Python where applicable
• Build secure and high-performance REST APIs for internal and third-party consumption
• Implement authentication, authorization, and role-based access control mechanisms
• Optimize MySQL databases including schema design, indexing strategies, and query tuning
• Develop complex, state-driven user interfaces using React
• Build workflow-heavy dashboards and operational tools aligned with product requirements
• Lead development of third-party integrations (ELD, GPS, compliance providers, document services, etc.)
• Design resilient APIs with retry logic, monitoring, and failure handling mechanisms
• Ensure data consistency across distributed systems and external integrations
• Review code, mentor junior engineers, and raise overall engineering standards
• Help define coding standards, pull request processes, and disciplined release practices
• Act as a reliability layer, balancing product urgency with technical correctness

Fullstack Engineer

Solutions Engineer

• Translate business requirements into scalable, reusable, and high-performing document composition solutions.
• Lead technical design discussions and provide architecture sign-off for Quadient Inspire implementations.
• Provide technical governance and leadership to onshore and offshore development teams.
• Own effort estimation, solution sizing, and technical risk assessment for project initiatives.
• Design and oversee integrations between Quadient and upstream/downstream enterprise systems.
• Ensure adherence to development standards, best practices, and Quadient implementation guidelines.
• Oversee solution quality assurance, performance optimization, and production readiness.
• Collaborate with business stakeholders, enterprise architects, and client teams to ensure alignment and successful delivery.
• Travel to client locations as required for workshops, requirement gathering, design sessions, and project milestones.

Solutions Architect

Salesforce Developer

• Lead requirement discovery workshops to understand business objectives and define project scope.
• Design scalable, secure, and high-performing Salesforce architectures aligned with industry best practices.
• Develop technical architecture diagrams, data models, and workflow designs to simplify complex systems.
• Ensure seamless integrations with third-party platforms, AI solutions, and Salesforce Data Cloud.
• Implement automation frameworks to enhance system efficiency and improve user experience.
• Act as a trusted advisor, providing strategic guidance on Salesforce architecture and configuration best practices.
• Mentor developers and consultants to ensure high-quality technical delivery.
• Stay current with Salesforce innovations, including Data Cloud and AI capabilities, to enhance solution design.
• Ensure compliance with security, scalability, and data governance standards.
• Translate technical architectures into clear business value for executive and non-technical stakeholders.
• Deliver compelling demos, solution walkthroughs, and proposal presentations.
• Build and nurture strong client relationships to ensure long-term success and satisfaction.
• Contribute to internal best practices, documentation, and knowledge-sharing initiatives.
• Support pre-sales activities, including RFP responses, solution estimation, and proposal development.
• Participate in mentoring programs and diversity initiatives to foster inclusive growth.

Salesforce Solution Architect

• Design, develop, and maintain scalable backend services using **Node.js with TypeScript/JavaScript**.
• Architect and implement **microservices-based systems** with a strong focus on performance, fault tolerance, and scalability.
• Build and optimize data storage and search solutions using **PostgreSQL** and **Elasticsearch**.
• Develop and maintain **distributed systems** capable of handling high throughput and low latency at scale.
• Containerize applications using **Docker** and manage deployments using **Kubernetes** in production environments.
• Implement and improve **CI/CD pipelines** to ensure fast, reliable, and automated deployments.
• Work closely with DevOps, frontend, data, and product teams to deliver end-to-end solutions.
• Ensure system security, observability, logging, monitoring, and graceful failure handling.
• Participate in architecture discussions, code reviews, and technical design reviews.
• Mentor junior and mid-level engineers and contribute to engineering best practices and standards.

Senior Backend Engineer

• Own and lead frontend architecture, ensuring scalable, modular, and maintainable systems for complex workflows
• Build high-quality, user-facing features using React, TypeScript, and modern CSS with a strong focus on UX and performance
• Establish clear architectural patterns that enable long-term extensibility and ease of development
• Design, implement, and integrate APIs that power frontend functionality with clean and reliable contracts
• Ensure an excellent developer experience through clean, reusable, and well-documented code
• Collaborate closely with product managers, designers, and engineers to align technical solutions with product vision
• Rapidly prototype, iterate, and refine features in response to evolving requirements
• Mentor team members and elevate engineering standards through thoughtful technical leadership

Software Development Engineer IV – Full Stack

• Design, build, and evolve scalable, secure, and high-availability software systems using **Java** (Python exposure is a plus).
• Architect and implement **SaaS-based security platforms**, ensuring performance, reliability, and fault tolerance.
• Serve as a technical authority across the engineering team, influencing architecture, code quality, and system design.
• Drive adoption of **secure coding practices**, threat modeling, and compliance with industry security standards.
• Collaborate closely with Product, Security, and DevOps teams to deliver robust, production-grade solutions.
• Design and implement **security analytics**, automation workflows, and integrations with ITSM systems.
• Lead technical reviews, guide architectural decisions, and resolve complex engineering challenges.
• Continuously improve engineering processes, tooling, and platform scalability.
• Mentor senior and mid-level engineers, raising the overall technical bar of the team.

Staff Software Engineer, Java

AI Engineer

• Design, build, and deploy LLM-powered applications, including RAG and agentic AI systems.
• Develop intelligent document processing and document understanding pipelines.
• Implement and optimize workflows using frameworks such as LangChain, LangGraph, and related orchestration tools.
• Build and deploy scalable AI services on cloud platforms including AWS, GCP, or Azure.
• Deliver production-grade AI solutions with a strong focus on performance, reliability, and speed of execution.
• Continuously evaluate and improve model outputs, prompts, and system architectures.

Artificial Intelligence Engineer

Account Manager

• Act as a strategic advisor to industrial clients
• Transition from traditional solutions to integrated ecosystems
• Expand existing enterprise accounts through cross-sell and upsell
• Acquire new corporate partnerships
• Understand plant-level challenges and recommend solutions

Corporate Account Manager

Software Engineer

• Take full ownership of backend architecture and development using Python (FastAPI).
• Build scalable APIs, services, and data pipelines to power high-performance products.
• Collaborate with product and design teams to translate user needs into technical solutions.
• Participate in architecture and design decisions to ensure system performance, scalability, and security.
• Set up CI/CD pipelines, testing frameworks, and monitoring systems for a robust engineering foundation.
• Identify and solve core technical challenges proactively.
• Establish engineering best practices and foster a quality-driven development culture.
• Mentor future engineering hires and help scale the team.

Founding Engineer

Frontend Engineer

• Take ownership of building and scaling high-quality, performance-driven web extension experiences used in production at scale
• Drive complex initiatives end to end—from technical design to reliable delivery
• Work closely with cross-functional teams to shape the product roadmap and design optimal solutions
• Ensure that browser-based experiences are robust, secure, and performant across environments
• Provide technical leadership, mentorship, and drive continuous improvement of engineering practices

Software Development Engineer III, Frontend

Artificial Intelligence

• Own the end-to-end productionization of AI models
• Transition AI models from experimentation to stable production
• Lead a hybrid team of MLOps engineers and Applied AI scientists
• Manage the complete lifecycle of production AI models
• Design low-latency inference systems
• Prioritize and maintain a backlog of research models
• Establish execution standards

Manager – Applied AI

Manager

• Lead end-to-end data analytics initiatives, from problem definition to insight generation and presentation.
• Perform data extraction, aggregation, and manipulation from large, complex datasets using SAS and SQL.
• Build and maintain analytical datasets to support reporting, advanced analytics, and business intelligence use cases.
• Develop dashboards and visualizations using Tableau to track performance, identify trends, and support decision-making.
• Apply advanced analytics techniques to solve business problems related to credit risk, credit card portfolios, customer behavior, and performance optimization.
• Analyze credit and credit card data to generate insights around customer acquisition, spend behavior, delinquency, risk, and portfolio health.
• Partner with business stakeholders to understand requirements and convert them into analytical solutions and insights.
• Present findings and recommendations clearly to senior stakeholders using data-backed storytelling.
• Ensure data accuracy, consistency, and governance across analytics deliverables.
• Support ad-hoc analysis and deep dives as required to address emerging business needs.

Manager, Analytics

• Lead end-to-end analytics initiatives, from problem definition to insight generation and recommendation delivery.
• Perform advanced analytics on large, complex datasets to identify trends, patterns, and business opportunities.
• Design and execute data extraction and aggregation processes using SQL and SAS across multiple data sources.
• Develop and maintain dashboards, reports, and visualizations using Tableau to support leadership and business teams.
• Drive analytics use cases related to credit cards, consumer credit, and risk analytics, including portfolio monitoring, performance tracking, and customer behavior analysis.
• Collaborate with product, risk, finance, and business teams to align analytics outcomes with organizational goals.
• Ensure data accuracy, consistency, and governance across all analytical outputs.
• Translate analytical findings into clear, concise insights and present them to senior stakeholders.
• Mentor and guide analysts, conducting reviews and ensuring high-quality analytical standards.
• Continuously improve analytical frameworks, methodologies, and automation for scalable insights delivery.