Digibee

• Solution Analysis and Design • Conduct detailed functional analysis with clients and technical stakeholders. • Identify requirements, dependencies, risks, and technical constraints. • Design scalable and resilient solutions based on modern system-integration patterns. • Produce diagrams and technical documentation to clearly present solutions to clients. • Use Digibee’s AI resources to map flows, detect patterns, and accelerate technical understanding. • Build end-to-end integration pipelines using Digibee platform components. • Configure authentication, messaging patterns, data manipulation, mappings, and synchronous/asynchronous integrations. • Implement observability mechanisms (logs, metrics, tracing) to support operations and troubleshooting. • Ensure the technical quality, performance, and security of integrations. • Leverage Digibee’s AI to accelerate development, automation, and validations. • Accurately estimate development effort and pipeline complexity. • Communicate deadlines clearly and transparently. • Take responsibility for meeting deadlines, ensuring delivery quality, and mitigating risks. • Propose alternatives when replanning is required. • Facilitate technical meetings with internal teams and clients. • Maintain clear, objective, and frequent communication on delivery status. • Coordinate alignment across teams (CSM, Product, Engineering, Support). • Document decisions and ensure all stakeholders remain aligned and informed. • Guide clients in adopting the Digibee platform and applying AI to their integrations. • Create and execute functional and integrated test scenarios. • Validate end-to-end behavior across all participating systems. • Support UAT/validation activities with clients. • Ensure quality and reduce rework throughout the project. • Use AI to generate test cases, validate contracts, and detect inconsistencies. • Diagnose and resolve incidents in integration pipelines. • Use platform logs, metrics, and tracing to identify root causes. • Propose preventive improvements and structural fixes. • Promote integration, governance, and architectural standards within the team. • Contribute to internal frameworks, reusable components, and best practices. • Support platform evolution and internal process improvements. • Act as an ambassador for innovation and AI adoption within projects.

• Partner with leaders, product owners, and engineering teams to identify, assess, and prioritize information security risks, translating technical threats into business impact and actionable mitigation strategies. • Serve as the primary security point of contact, providing strategic guidance on security architecture, secure-by-design principles, threat modeling, and risk acceptance decisions for new products, features, and technology investments. • Lead security risk assessments for major business initiatives & projects, M&A activities, third-party integrations, and cloud migrations, leading certifications (SOC 2, PCI-DSS), regulatory & client requirements and internal security policies. • Drive the implementation and continuous improvement of security controls, governance frameworks, and KPIs/KRIs, reporting on the security posture of business units to executive leadership and relevant risk committees. • Champion security awareness and culture across business units by leading training initiatives, tabletop exercises, and incident response simulations, while also supporting real incident response coordination between business stakeholders and the central security teams.

• Manage integration projects end-to-end, from discovery to go-live and hypercare • Act as the primary point of contact for customers during the project lifecycle • Coordinate cross-functional teams across Customer Success, Sales, and Engineering • Define project timelines, milestones, risks, and dependencies to ensure predictable delivery • Lead project ceremonies such as kick-offs, status meetings, checkpoints, retrospectives, and daily follow-ups • Monitor project progress and proactively address blockers and risks • Manage scope changes and change requests when needed • Prepare and share weekly project status reports with internal and external stakeholders • Ensure alignment between customer expectations and technical execution • Drive a positive customer experience throughout the engagement lifecycle • Support post-go-live activities, including hypercare and customer satisfaction follow-ups

• Participate in discussions on architectural solutions and determine the best approaches to solve given problems; • Maintain systems and develop new features from inception to delivery; • Take part in peer code reviews, contributing to the quality of the code we deliver;

• Monitor cloud spend closely, flag anomalies early, and investigate root causes with a hands-on, problem-solving approach • Create and enforce core FinOps practices (tagging, cost allocation, budgeting, forecasting) to improve accountability across teams • Build and maintain clear visibility over cloud spend (AWS/GCP), translating usage into simple, actionable reports for Finance and leadership • Identify cost-reduction opportunities (e.g., idle resources, overprovisioning, pricing models) and follow through on implementation with Engineering • Partner with technical teams to challenge decisions and introduce cost-awareness into day-to-day infrastructure choices

• Conduct detailed functional analysis with clients and technical stakeholders. • Identify requirements, dependencies, risks, and technical constraints. • Design scalable and resilient solutions based on modern system-integration patterns. • Produce diagrams and/or technical documentation to present the solution to clients clearly. • Build end-to-end integration pipelines using Digibee platform components. • Configure authentication, messaging patterns, data manipulation, mappings, and synchronous/asynchronous integrations. • Implement observability mechanisms (logs, metrics, tracing) to support operations and troubleshooting. • Ensure technical quality, performance, and security of integrations. • Accurately estimate development effort and pipeline complexity. • Communicate deadlines clearly and transparently. • Facilitate technical meetings with internal teams and clients. • Create and execute functional and integrated test scenarios. • Diagnose and resolve incidents in integration pipelines. • Promote integration, governance, and architectural standards within the team.

• Research, design, and develop innovative generative AI models and algorithms. • Implement and optimize deep learning architectures for generative tasks, focused on text generation. • Collaborate with cross-functional teams to define goals, requirements, and deliverables and implement the features. • Train and fine-tune models using large-scale datasets and advanced techniques. • Evaluate and assess model performance, making necessary adjustments to improve results. • Stay up-to-date with the latest advancements in generative AI trends and tools and contribute to the team's knowledge base. • Write clean, efficient, and maintainable code, following best practices and coding standards. • Document research findings, methodologies, and technical specifications. • Participate in code reviews and provide constructive feedback to peers. • Contribute to the development of tools and frameworks to facilitate generative AI research and development. • Interpret insights from our pre-sales, sales, customer success teams and clients to create AI-based features.

• You obsess over craft. Typography, spacing, color, motion: you care about the details that make interfaces feel right. You’re not satisfied until every interaction feels polished and intentional. • You think in systems. You see patterns across surfaces and scale solutions while maintaining coherence. You’re comfortable contributing to a Design System that serves the entire platform. • You treat design as a science. You form hypotheses, test them with real users, and let evidence guide your decisions. You connect insights, data, and business context to your work, and you can defend those choices clearly to any audience. • You’re comfortable with ambiguity. You can navigate undefined problem spaces, make progress with incomplete information, and bring structure where there is none. • You’re curious about AI. You tinker with tools, follow the space, and think about how agentic experiences with humans in the loop should feel. You want to help figure out what comes next. • You’re a builder. You care about what ships, not just what’s in Figma. You thrive in cross-functional teams and challenge processes constructively. • On a typical day, you will… - Lead end-to-end design: from problem framing through high-fidelity, production-ready UI with sophisticated interactions, flows, and micro-interactions - Evolve our Design System: champion reusable patterns that ensure consistency and quality across the platform - Partner with PM, engineering, and research to frame problems, validate hypotheses with real users, and ship high-quality experiences in tight cycles - Design for agentic AI experiences: where humans stay in the loop. Help define how AI-assisted workflows, autonomous actions, and intelligent automation feel trustworthy, transparent, and useful - Experiment with AI in your own process: prototyping, ideation, research synthesis. We value designers who use AI as a creative accelerator - Grow the team: coach teammates, improve processes, and challenge how we work

• Support customers in the development and use of the Digibee Platform. • Help improve customer support by promptly responding to client requests and handling complaints. • Troubleshoot technical issues by diagnosing and resolving faults. • Guide customers through troubleshooting to quickly identify root causes. • Provide consistent, proactive customer support, offering timely and accurate updates and following up until issues are resolved. • Manage multiple cases concurrently and coordinate with internal teams to find solutions. • Execute processes to maintain high-quality customer support service.

• Conduct detailed functional analysis with clients and technical stakeholders. • Identify requirements, dependencies, risks, and technical constraints. • Design scalable and resilient solutions based on modern system-integration patterns. • Produce diagrams and/or technical documentation to present the solution to clients clearly. • Use Digibee’s AI resources to map flows, detect patterns, and accelerate technical understanding. • Build end-to-end integration pipelines using Digibee platform components. • Configure authentication, messaging patterns, data manipulation, mappings, and synchronous/asynchronous integrations. • Implement observability mechanisms (logs, metrics, tracing) to support operations and troubleshooting. • Ensure technical quality, performance, and security of integrations. • Leverage Digibee’s AI to accelerate development, automation, and validations. • Accurately estimate development effort and pipeline complexity. • Communicate deadlines clearly and transparently. • Take responsibility for meeting deadlines, ensuring delivery quality, and mitigating risks. • Propose alternatives when replanning is required. • Facilitate technical meetings with internal teams and clients. • Maintain clear, objective, and frequent communication on delivery status. • Coordinate alignment across teams (CSM, Product, Engineering, Support). • Document decisions and ensure all stakeholders remain aligned and informed. • Guide clients in adopting the Digibee platform and applying AI to their integrations. • Create and execute functional and integrated test scenarios. • Validate end-to-end behavior across all participating systems. • Support UAT/validation activities with clients. • Ensure quality and reduce rework throughout the project. • Use AI to generate test cases, validate contracts, and detect inconsistencies. • Diagnose and resolve incidents in integration pipelines. • Use platform logs, metrics, and tracing to identify root causes. • Propose preventive improvements and structural fixes. • Promote integration, governance, and architectural standards within the team. • Contribute to internal frameworks, reusable components, and best practices. • Support platform evolution and internal process improvements. • Act as an ambassador for innovation and AI adoption within projects.