Weekday (YC W21)

Backend Engineer

• 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.

Manager, Amazon Analytics

Security Operations

• Lead security operations activities across cloud, infrastructure, endpoints, and SaaS platforms.
• Act as the primary escalation point for high-impact and complex security incidents.
• Own incident classification, response coordination, regulatory notifications, and post-incident reporting in line with DORA and NIS2 requirements.
• Ensure incident detection, investigation, and resolution meet EU regulatory reporting timelines.
• Enhance the vulnerability management framework by improving triage processes, implementing risk-based prioritization, and tracking remediation progress.
• Strengthen reporting and metrics to align with European regulatory expectations and operational resilience objectives.
• Drive vulnerability remediation programs in collaboration with IT and engineering teams.
• Improve threat and attack visibility through centralized logging, monitoring, and detection capabilities.
• Provide strategic oversight of SIEM, EDR/XDR, MDM, IAM, and related security tooling.
• Lead threat intelligence activities and assess threats through a European regulatory and risk-based lens.
• Strengthen cloud security controls within AWS environments using best practices and native services.
• Oversee and optimize the use of AWS security services such as CloudTrail, CloudWatch, GuardDuty, Security Hub, and IAM.
• Partner with IT and engineering teams to embed security-by-design principles across systems and applications.
• Drive security initiatives including data loss prevention (DLP), penetration testing, and security tool optimization.
• Support security architecture reviews to ensure resilience, scalability, and regulatory alignment.
• Lead information security awareness initiatives, including phishing simulations and employee training programs.
• Contribute to governance, risk, and compliance efforts across frameworks such as ISO 27001, DORA, and NIS2.
• Support internal and external security audits and regulatory examinations.
• Translate regulatory requirements into actionable security operations and controls.

Security Operations Manager

Sales

• Manage Salesforce user accounts, including creation, deactivation, roles, and access controls.
• Configure profiles, permission sets, sharing rules, and security settings to ensure appropriate data visibility and compliance.
• Conduct periodic security audits and ensure adherence to data privacy and governance standards.
• Design and maintain custom objects, fields, validation rules, record types, and page layouts.
• Build and manage declarative automation using Salesforce Flow and Process Builder.
• Configure Lightning apps, components, home pages, and user experiences.
• Install, configure, and manage AppExchange applications to extend Salesforce functionality.
• Perform routine data maintenance activities, including data cleansing, deduplication, and mass updates.
• Use tools such as Data Loader and Data Import Wizard for data imports and exports.
• Partner with architecture teams to document and support data backup and recovery strategies.
• Enforce data quality standards through validation rules and governance practices.
• Create and maintain advanced reports and dashboards to provide actionable insights and KPIs.
• Utilize features such as custom report types and joined reports.
• Enable and train users to build and analyze reports independently.
• Act as the primary point of contact for Salesforce-related issues and enhancement requests.
• Investigate and resolve platform errors, user issues, and data inconsistencies.
• Manage and prioritize support requests, escalating issues when necessary.
• Deliver functional and technical training for users and stakeholders.
• Stay up to date with Salesforce seasonal releases and feature updates.
• Test new features and configurations in sandbox environments prior to production deployment.
• Monitor system performance and support ongoing maintenance activities.
• Coordinate UAT and support production releases and change management processes.
• Work closely with business stakeholders to gather, analyze, and document functional and technical requirements.
• Create and maintain business process flows, BRDs, user stories, acceptance criteria, and traceability matrices.
• Collaborate with development and integration teams on complex solutions and third-party system integrations (ERP, marketing tools, etc.).
• Support and troubleshoot API-based integrations and data flows.
• Administer and optimize Salesforce AI capabilities such as Einstein Activity Capture, Forecasting, and Bots.
• Support use cases for generative AI within Salesforce, including content generation and summarization.
• Assist with prompt development, refinement, and governance for AI tools.
• Promote responsible and ethical AI usage, ensuring data privacy, transparency, and compliance.

Salesforce Admin

Designer

• Transform complex ideas into compelling, visually impactful presentations.
• Shape creative concepts, build persuasive narratives, and deliver high-quality presentation assets.
• Design and deliver high-end PowerPoint presentations emphasizing storytelling and visual precision.
• Translate complex content and data into clear, engaging visual narratives.
• Own the end-to-end presentation design process—from concept development to final delivery and feedback incorporation.
• Create and maintain presentation templates aligned with brand and client guidelines.
• Design custom visual elements including icons and infographics to support storytelling.
• Enhance presentations with thoughtful animations, transitions, and motion elements.
• Partner closely with pitch leads and cross-functional teams as a trusted design collaborator.
• Work with global teams to ensure consistent, high-quality outputs.
• Support and inspire team members through design expertise and structured workflows.

Senior Designer

Product Manager

• Lead the evolution of an AI-powered conversational assistant into a deeply intelligent, multimodal, and context-aware experience
• Own the vision, strategy, and execution of Chat as the primary entry point for creation, productivity, and intelligent workflows across the platform
• Shape how users think, create, and complete work through conversation—leveraging large language models, multimodal inputs, and smart routing to deliver seamless, intuitive experiences.

Senior Product Manager – AI Chat

SEO Marketing

• Own and execute a pipeline of high-impact SEO initiatives aligned with the broader growth roadmap
• Conduct in-depth technical SEO audits covering crawlability, indexability, site speed, and structured data
• Partner with engineering and product teams to implement fixes focused on Core Web Vitals, site architecture, JavaScript rendering (CSR/SSR), and log file analysis
• Execute keyword strategies across all digital properties
• Collaborate with content and product marketing teams to ensure assets are optimized for search intent, semantic relevance, and commercial value
• Optimize metadata, headers, internal linking, and content structure to improve rankings
• Monitor SEO performance using GA4, Google Search Console, and enterprise SEO tools
• Prepare clear, actionable performance reports highlighting wins, gaps, and optimization opportunities
• Execute targeted link-building and off-page SEO campaigns aligned with growth objectives
• Track competitors, SERP trends, and market shifts to identify opportunities and threats
• Proactively adapt strategies in response to search engine algorithm updates

SEO Specialist

Marketing

• Design, implement, and optimize end-to-end marketing automation strategies using Zeta.
• Develop, execute, and monitor multi-channel automated campaigns including email, SMS, push notifications, and in-app messaging.
• Create advanced customer segmentation, targeting, and personalization strategies.
• Build and maintain automated workflows, event triggers, and behavioral journeys.
• Track, measure, and analyze campaign performance, generating actionable insights.
• Collaborate with internal teams and technical stakeholders to integrate Zeta with CRM and marketing tools.
• Stay updated with the latest trends and best practices in marketing automation.
• Mentor junior team members on Zeta platform usage and marketing automation best practices.

Marketing Automation

Cloud Engineer

• Manage and support AWS production environments with a strong focus on system reliability and performance
• Administer and optimize Amazon RDS instances, including performance tuning, backups, restores, Multi-AZ setups, and read replicas
• Troubleshoot application and infrastructure issues across AWS services such as EC2, ALB, VPC, IAM, and related components
• Perform in-depth log analysis and monitoring using AWS CloudWatch to proactively identify and resolve issues
• Diagnose and resolve connectivity challenges, latency issues, and inter-service dependencies
• Lead end-to-end root cause analysis and drive resolution of complex production incidents
• Apply AWS networking and security best practices to maintain robust and secure cloud environments
• Operate independently in a remote setup while managing production-critical responsibilities