Weekday (YC W21)

Data Engineer

• Design, develop, and maintain scalable data pipelines using Microsoft Azure Fabric
• Build reliable ETL/ELT processes for structured and unstructured data
• Work with business teams to understand data requirements and translate them into technical solutions
• Optimize data processing workflows for performance, scalability, and cost
• Apply AI-assisted development tools and modern engineering practices to improve delivery speed and solution quality
• Troubleshoot production issues and proactively identify improvements
• Collaborate with architects, analysts, and developers throughout the project lifecycle
• Take responsibility for quality, timelines, and outcomes without constant follow-up
• Use AI and automation to solve problems, improve engineering productivity, and deliver better solutions
• Raise risks early, ask questions when something isn't clear, and keep stakeholders informed
• Adjust priorities while maintaining delivery commitments

Senior Data Engineer

Sales Operations Manager

• Lead and coach a small Sales Operations pod responsible for Salesforce administration, reporting, automation, and operational support
• Manage and develop BDR operations, including workflow standards, prioritisation, discovery processes, and objection-handling playbooks
• Own the operational backbone of the PLG and Sales-Assist GTM motion
• Manage workflows for hot leads, inbound lead routing, Product Qualified Accounts, and sales-assist opportunities
• Build and maintain reporting infrastructure to monitor Pro-to-Enterprise conversion and identify coverage or process gaps
• Own day-to-day Salesforce operations, including data hygiene, ownership management, workflows, reports, dashboards, and process flows
• Develop attribution logic and maintain a reliable Salesforce account and opportunity data foundation
• Execute large-scale data operations including bulk ownership changes, routing, deduplication, and data remediation
• Maintain reliable data synchronisation across Salesforce, HubSpot, Gong, billing platforms, and Snowflake
• Build lightweight automation using Salesforce Flows, scripts, CLI tools, scheduled jobs, and API-level integrations
• Maintain weekly sales reporting, pipeline reviews, performance tracking, and forecasting inputs
• Translate sales data into actionable insights and recommendations for Sales Leadership
• Identify operational bottlenecks and implement scalable solutions to improve sales productivity and consistency
• Develop and maintain SOPs, documentation, workflow standards, and operational playbooks
• Build and deliver enablement for new sales workflows, systems, processes, and tools
• Partner closely with BDR and AE teams to improve sales execution, pipeline quality, and conversion
• Monitor operational performance and proactively identify data, process, and system issues
• Continuously improve sales processes through automation, standardisation, and data-driven decision-making

AI Engineer

• Design, develop, and maintain scalable data engineering and analytics solutions
• Build reliable data pipelines for batch and real-time processing
• Develop data platforms and workflows using Databricks and modern cloud technologies
• Work with large and complex datasets for analytics, reporting, and AI-driven applications
• Design data models and optimise processing workflows for performance and scalability
• Integrate structured and unstructured data sources
• Implement data quality, validation, monitoring, and governance practices
• Collaborate with data scientists, analysts, engineers, product teams, and business stakeholders
• Translate business requirements into scalable technical and data solutions
• Troubleshoot pipeline, processing, performance, and integration issues
• Optimise data architectures and workflows for reliability, efficiency, and cost
• Contribute to cloud-based data architecture and platform modernisation
• Develop reusable frameworks, components, and data engineering best practices
• Support deployment, monitoring, and maintenance of production data solutions
• Stay current with emerging data engineering, cloud, analytics, AI, and modern data platform technologies

Senior Gen AI Engineer

3D Artist

• Lead the 3D design and visualization of large-scale event booths, exhibition stalls, and physical marketing spaces
• Create highly detailed, photorealistic 3D models, textures, and lighting setups
• Translate structural concepts and client briefs into accurate 3D spatial representations
• Mentor and provide technical guidance to junior 3D artists
• Ensure all final renders meet high-quality standards and are delivered within project timelines

Senior 3D Artist

Performance Marketing

• Execute, monitor, and optimize campaigns across multiple channels and objectives, including Mobile App, Remarketing, and Acquisition campaigns
• Set up campaigns, quality assurance, bidding, targeting, pacing, creative rotation, and tracking
• Analyze performance across products, markets, audiences, and channels
• Connect media metrics to conversion, revenue, CAC, and LTV
• Identify opportunities to improve acquisition efficiency across the funnel
• Manage spend within approved budgets and recommend reallocations
• Design and run structured tests across creative, audiences, landing pages, bidding strategies, and campaign formats
• Partner with Creative and Product to improve ads and landing pages
• Partner with Data and Engineering to validate campaign tracking and apply attribution and incrementality insights
• Own and optimize remarketing campaigns using audience segmentation, creative sequencing, and frequency to drive re-engagement, retention, and repeat conversion
• Report to the Manager, Performance Marketing
• Own campaign execution, optimization, and performance recommendations as a senior individual contributor

Senior Performance Marketing Specialist

Backend Engineer

• Design, build, and maintain scalable backend systems powering AI-driven applications
• Develop and optimize Python-based services for processing complex legal and medical documents
• Collaborate with founders, product teams, and engineers to translate user needs into technical solutions
• Integrate third-party services and build internal APIs for workflows, data pipelines, and AI models
• Use data insights and user feedback to improve system performance and product features
• Contribute to system architecture, code reviews, and engineering best practices in a fast-paced startup environment
• Build and scale an AI-driven medicolegal platform that automates workflows for personal injury law firms
• Help legal teams process cases, analyze documents, and generate insights more efficiently
• Collaborate with global engineering and operations teams

Full Stack Python Engineer

• Design, develop, test, and maintain scalable backend applications, services, and APIs
• Build backend components supporting Artificial Intelligence and Machine Learning use cases
• Work with structured and unstructured data for analytics, reporting, and intelligent decision-making
• Develop and optimize data pipelines and integrations for AI/ML and business intelligence applications
• Prepare, process, and validate datasets with data and analytics teams
• Integrate backend systems with Power BI and other business intelligence platforms
• Develop APIs and services for analytical and machine learning outputs
• Troubleshoot application issues and resolve performance bottlenecks
• Write clean, maintainable, scalable, and well-documented code
• Participate in code reviews, testing, debugging, deployment, and continuous improvement
• Collaborate with cross-functional teams to translate business requirements into technical solutions
• Stay updated on backend development, AI, ML, and data analytics technologies and best practices

Backend Developer

• Design and implement scalable data architectures for supply chain data platforms, analytics, reporting, and downstream applications
• Define enterprise data models, logical and physical data structures, data domains, and data integration patterns
• Architect cloud-based data solutions using Microsoft Azure services
• Design and optimize data processing and analytics solutions using Databricks, including data lakehouse architecture and distributed data processing
• Collaborate with data engineering teams on data ingestion, transformation, storage, orchestration, and consumption best practices
• Translate complex business and technical requirements into architecture and solution designs
• Establish standards for data quality, metadata management, lineage, security, access control, and governance
• Work with cross-functional stakeholders to understand supply chain processes and identify data modernization and optimization opportunities
• Review existing data platforms and recommend improvements to architecture, performance, scalability, and maintainability
• Provide technical leadership and architectural guidance to data engineers and development teams
• Create architecture diagrams, technical documentation, data models, and solution design specifications
• Ensure alignment with enterprise architecture, cloud security, compliance, and data governance standards

Data Architect – Supply Chain

Product Manager

• Own the end-to-end product lifecycle from customer discovery and strategy through roadmap, execution, launch, and optimisation
• Develop product vision, strategy, priorities, and roadmaps aligned with customer and business objectives
• Conduct customer research and discovery to understand complex technical and enterprise problems
• Translate customer needs into clear product requirements, user stories, specifications, and measurable outcomes
• Work closely with Engineering and Architecture teams to define technically feasible and scalable solutions
• Prioritise features, enhancements, technical investments, and product initiatives based on customer value and business impact
• Lead cross-functional product development from planning through delivery and launch
• Define product success metrics and monitor adoption, engagement, retention, and business performance
• Collaborate with Sales and Customer Success teams to understand customer feedback and support product adoption
• Work with technical stakeholders on APIs, integrations, data models, platform capabilities, and enterprise workflows
• Support product launches, enablement, documentation, and go-to-market activities
• Identify opportunities for automation, AI-powered capabilities, and product innovation
• Contribute to products involving GenAI, LLMs, security analytics, or intelligent automation where applicable
• Analyse competitive products, market trends, customer requirements, and emerging technologies
• Establish effective product processes that improve execution speed, quality, and cross-functional alignment
• Communicate product strategy, roadmap decisions, priorities, and progress clearly to senior stakeholders

Senior Product Manager

Operations

• Manage and support Microsoft Dynamics 365 applications, focusing on Operations and Supply Chain Management
• Analyze business requirements and translate them into D365 configurations and solutions
• Configure and maintain modules for procurement, inventory, warehouse management, production, planning, logistics, and order management
• Understand operational challenges and recommend process improvements with business users
• Participate in implementation, enhancement, customization, and rollout of D365 SCM and Operations solutions
• Manage functional requirements through gathering, solution design, testing, deployment, and post-go-live support
• Collaborate with technical teams on integrations, customizations, workflows, reports, and data migration
• Identify system issues, perform root-cause analysis, and coordinate resolution
• Support UAT, SIT, regression testing, test scenarios, and documentation
• Align D365 processes with business policies, operational requirements, and industry best practices
• Assist with data migration, master data management, system upgrades, and release management
• Prepare functional specifications, process documentation, user guides, and training materials
• Monitor system performance and identify opportunities to improve operational efficiency
• Work with Finance, Procurement, Sales, Warehouse, Manufacturing, IT, and Operations teams

Dynamics 365 Operations

Data Analyst

• Develop, maintain, and optimize interactive Power BI dashboards and reports for sales, pricing, distribution, revenue, and business performance
• Analyze CPG/FMCG datasets to identify trends, patterns, opportunities, and performance gaps across products, categories, channels, regions, and customers
• Conduct pricing analytics, including price-performance analysis, price changes, discount analysis, price elasticity, promotional effectiveness, and revenue impact
• Perform distribution analytics covering distribution coverage, availability, channel performance, geographic penetration, and product-level distribution trends
• Track commercial and sales KPIs and provide actionable insights to business stakeholders
• Build automated reporting solutions to reduce manual reporting and improve data accessibility
• Collaborate with sales, marketing, finance, category management, and commercial teams to translate business requirements into analytical solutions
• Identify data quality issues and improve data accuracy, consistency, and reliability
• Present analytical findings and business recommendations to stakeholders
• Continuously improve dashboards, analytical models, and reporting processes

Solutions Engineer

• Work directly with enterprise customers as a trusted technical advisor
• Understand customer business and technical requirements and translate them into scalable data architectures
• Design and implement modern Lakehouse / Data + AI architectures using Databricks
• Develop and guide POCs, technical workshops, and architecture demonstrations
• Work extensively with Apache Spark / PySpark, SQL, and Databricks
• Design scalable data ingestion, transformation, and processing pipelines
• Work with Delta Lake, Unity Catalog, and Databricks platform capabilities
• Support data migration and modernization initiatives
• Integrate Databricks with AWS, Azure, or GCP
• Troubleshoot performance, scalability, reliability, and data pipeline issues
• Work with customer engineering, data science, architecture, and leadership teams
• Provide technical recommendations around data engineering, analytics, ML/AI, and cloud architecture
• Create reference architectures, technical documentation, and implementation guidance
• Support production deployment and adoption of Databricks solutions
• Conduct technical workshops, enablement sessions, and knowledge-sharing activities

Resident Solution Architect

• Lead day-to-day D365 operations, ensuring smooth and reliable business process execution
• Own functional support, issue resolution, incident management, and operational performance across D365 modules
• Work with business stakeholders to understand requirements, identify process gaps, and recommend D365 solutions
• Manage and prioritize functional issues, enhancements, change requests, and operational activities
• Coordinate with technical teams, developers, vendors, and implementation partners to resolve complex D365 issues
• Drive continuous improvement initiatives to optimize business processes and improve D365 adoption
• Monitor system performance, operational KPIs, service levels, and support metrics
• Lead functional impact assessments for system changes, upgrades, integrations, and new features
• Document business processes, functional specifications, SOPs, and operational procedures
• Support requirement validation, UAT coordination, regression testing, and deployment readiness
• Identify recurring operational issues and implement preventive measures
• Manage escalations and ensure timely resolution of critical business-impacting issues
• Provide functional guidance and mentoring to D365 support and operations teams
• Ensure adherence to governance, security, compliance, and change-management processes
• Collaborate with cross-functional teams to align D365 capabilities with evolving business requirements

D365 Operations Lead

Frontend Engineer

• Design, develop, test, and maintain scalable web applications using C#, .NET Core, and ASP.NET
• Build responsive and maintainable user interfaces using Angular and AngularJS
• Develop reusable components, modules, and services following established development standards and best practices
• Design and optimize SQL Server databases, queries, stored procedures, views, and database-related processes
• Develop and integrate application services and APIs to support business requirements
• Analyze existing applications, identify technical challenges, and implement effective solutions
• Participate in architecture and technical design discussions for new features and application enhancements
• Troubleshoot application issues, perform root-cause analysis, and resolve production and performance-related problems
• Collaborate closely with frontend, backend, QA, DevOps, and product teams throughout the development lifecycle
• Conduct code reviews and provide technical guidance to junior and mid-level developers
• Ensure application code is secure, scalable, maintainable, and optimized for performance
• Contribute to technical documentation, development standards, and continuous improvement initiatives

Senior AngularJS Developer

Recruitment

• Build and execute a company-wide Talent Acquisition strategy aligned with business goals, capability building, and future workforce planning
• Translate organizational growth plans into structured hiring roadmaps, quarterly plans, and execution mechanisms
• Act as a strategic talent partner to Founders, CXOs, Business Leaders, and Hiring Managers
• Lead hiring across Autonomous Systems, Robotics, AI/ML, Embedded Engineering, Cybersecurity, Cloud, Data, Product, Engineering, Sales, Pre-Sales, Business Development, Marketing, Customer Success, Finance, HR, Operations, and leadership roles
• Create structured recruitment frameworks, interview loops, SLAs, hiring dashboards, and documentation systems
• Standardize job descriptions, interview rubrics, evaluation forms, and decision-making processes
• Implement predictable hiring mechanisms that scale with organizational growth
• Partner with business teams to understand future capability needs
• Build proactive talent pipelines for niche, critical, and high-impact roles
• Conduct quarterly workforce planning and hiring capacity analysis
• Conduct market research on talent availability, competitor talent pools, compensation trends, and sourcing strategies
• Build talent intelligence reports for leadership decision-making
• Identify and resolve bottlenecks across sourcing, interview readiness, panel bandwidth, decision cycles, compensation alignment, offer conversions, notice periods, internal processes, and documentation gaps
• Hire, mentor, and lead a high-performing Talent Acquisition team
• Define ownership, specialization, KPIs, and execution culture
• Drive accountability, speed, and quality across the hiring lifecycle
• Use hiring data to improve Time-to-Hire, Quality-of-Hire, Offer-to-Join Ratio, Source Effectiveness, Cost-of-Hire, Hiring Manager Experience, process predictability, and SLA adherence
• Build predictable, scalable hiring processes and strong talent pipelines for critical roles
• Improve hiring manager satisfaction and maintain clear documentation, SLAs, and audit-ready processes
• Establish Talent Acquisition as a business partner rather than a support function