• Drive system design and technical planning for projects, including large, complex, cross-functional initiatives • Partner on architectural decisions for critical systems, ensuring solutions are scalable, maintainable, and aligned with Pearl's long-term technical vision • Define and implement engineering standards, patterns, and best practices that improve scalability, reliability, and developer productivity across the organization • Partner to make strategic trade-offs between technical debt, feature delivery, and system reliability, clearly communicating the rationale and impact of these decisions • Design and build high-performance, distributed systems including data pipelines, APIs, and microservices that process healthcare data at scale • Architect intuitive, responsive, end to end web applications and internal tools that enable clinical and operations teams to deliver exceptional patient care. • Ensure observability, monitoring, and operational excellence across distributed services, cloud infrastructure, and frontend applications • Apply deep expertise in both backend service design (RESTful and event-driven architectures) and modern frontend frameworks to deliver complete, production-ready solutions • Champion security best practices, data consistency patterns, and regulatory compliance (HIPAA, SOC2) across the entire application stack • Partner with product, operations, and design leadership to align engineering decisions with company priorities and healthcare outcomes • Act as a technical advisor to multiple teams, providing guidance on system design, technology choices, and implementation approaches • Influence and drive technical discussions across the organization, helping teams navigate complex technical challenges and make informed decisions • Translate business requirements into technical strategies, ensuring engineering work directly supports Pearl's mission and growth objectives • Represent the engineering perspective in strategic planning, roadmap prioritization, and resource allocation discussions • Mentor engineers at Software Engineer I, II, and III levels, accelerating their technical growth and leadership development • Foster a strong engineering culture focused on continuous learning, technical excellence, and Pearl's Leadership Principles • Conduct thorough design and code reviews, raising the bar for technical quality and sharing knowledge generously across teams • Model proactive problem-solving, ownership mindset, and bias for action that inspires others to take on greater technical challenges • Contribute to hiring, onboarding, and retention efforts, helping build and scale high-performing engineering teams • Own and drive multi-quarter technical projects with autonomy and accountability, ensuring successful delivery aligned with business timelines • Identify and resolve systemic issues, technical bottlenecks, and cross-team dependencies that impact delivery velocity or system reliability • Balance speed and quality, making pragmatic decisions that enable rapid iteration while maintaining engineering excellence • Measure and communicate the business impact of technical work, connecting engineering outcomes to customer value and organizational goals

• Own the HubSpot marketing automation layer — nurture workflows, behavioral triggers, lifecycle stage transitions, and form/landing page infrastructure • Build and maintain segmented nurture tracks by persona (HR leader, CFO, Ops) and vertical (restaurant, retail, healthcare), enabling personalized outreach at scale • Ensure all campaign activity in HubSpot is properly tracked, attributed, and linked to pipeline impact • Build and maintain the AI agent layer for content operations: first-draft blog post generation, content repurposing into ad/email/one-pager formats • Develop and automate the SEO/AEO keyword intelligence workflow — continuous ranking monitoring, competitor content gap analysis, and auto-generated content briefs • Explore and implement AI-assisted copy generation for nurture sequences and 1.1 ABM efforts, enabling higher volume without additional headcount • Own marketing attribution: standardize the attribution model across all campaigns and enforce consistent application • Build the automated weekly performance report — channel performance, MQL volume, cost-per-MQL by source, pipeline influence — aggregated from HubSpot, Google Analytics, and ad platforms • Flag campaign anomalies in real time (spend spikes without proportional pipeline impact, conversion rate drops by segment) • Manage the technical SEO tooling layer (we use Clearscope) and build a systematic keyword monitoring and content brief workflow • Monitor competitor content movements and organic ranking shifts, surfacing weekly opportunity briefs to Marketing leadership • Coordinate with the content AI agent (once built) to ensure SEO-optimized briefs are executed efficiently • Own lead enrichment, routing, and lifecycle stage logic for all Marketing-sourced contacts entering HubSpot • Monitor and maintain MQL-to-SQL conversion data quality, ensuring accurate handoff data between Marketing and Sales • Partner with Brian on the enrichment waterfall and data standards for Marketing-sourced contacts

• Develop and maintain scalable applications using C#, SPFx, HTML, CSS, React (or framework of choice), TypeScript, JavaScript, Power Platform, Azure Cloud Services, Microsoft Graph API, PnP JS, PowerShell, SharePoint REST and custom APIs. • Develop and optimize Azure Functions, Web APIs, Runbooks and cloud-native solutions. • Automation using Power Automate and create low-code/no-code solutions using Power Apps. • Apply best practices in code quality, testing, and deployment to ensure all solutions are robust, reliable, and secure. • Work independently and troubleshoot issues, resolving technical challenges and clearing dependencies in a timely manner. • Follow coding and compliance standards, contribute to and maintain technical documentation. • Leverage AI tools and technologies throughout the development process to automate repetitive tasks, enhance code quality, and boost overall productivity. • Continuously learn and adopt the latest features and updates in leading cloud platforms and technologies. • Collaborate closely with team members within an Agile framework, actively participating in sprint planning, assist in defining acceptance criteria, identifying any technical dependencies, and effectively sizing user stories to ensure clear requirements, and alignment with sprint goals.

Role Description The Software Development Engineer Intern (AWS & Systems Focus) assists in the design, development, and maintenance of scalable backend and data-driven systems that support clinical trials and enterprise analytics platforms. Working under the guidance of senior engineers, the intern will contribute to cloud-native services, data processing components, and system integrations on AWS. This role emphasizes software engineering fundamentals, backend development, and system design, providing hands-on experience with real-world distributed systems. - Assist in building and maintaining backend services and system components using Go, Rust, TypeScript, Python, or Node.js. - Participate in designing and implementing scalable, reliable system architectures. - Perform data validation, cleansing, and basic data quality checks. - Write unit tests and support debugging and performance analysis of backend systems. - Help document system designs, data flows, and technical decisions. - Collaborate with software engineers, data engineers, and stakeholders to understand requirements and deliver solutions. - Follow software engineering best practices including security, reliability, and compliance standards. Qualifications - Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Information Systems, Mathematics, or a related field. - Familiarity with Go, Rust, TypeScript, Python, or Node.js. - Basic understanding of data structures, algorithms, and software engineering concepts. - Basic understanding of cloud computing concepts, preferably AWS. - Ability to work collaboratively in a fast-paced engineering environment. - Attention to detail and ability to work with large datasets. - Good communication skills and ability to work collaboratively in a team environment. - Eagerness to learn backend systems, cloud platforms, and distributed systems. Benefits - Flexible Approved Time Off - Tuition Reimbursement - 401k Retirement Plan - Work From Home Anywhere in the US - Maternal/Paternal Leave - Casual Dress Code & Work Environment