Role Description We are seeking an Engineering Manager to lead the technical side of our platform engineering, integrations, and customer delivery experience. This role is critical to helping customers successfully integrate with our SaaS platform while enabling cross-functional teams to execute on complex, technical initiatives. As an Engineering Manager, you will act as the primary technical leader across Engineering, Sales, Business Development, Account Management, and Operations. You will drive platform capability, provide real-time technical guidance, and elevate documentation and processes as we scale. This role is ideal for someone who enjoys being collaborative, deeply technical, and highly solution-oriented—while also influencing how the engineering organization operates internally. Responsibilities - Technical Leadership & Delivery - Partner with Sales and Business Development as the technical lead throughout the sales cycle and delivery process. - Join customer calls to explain API functionality, sandbox environments, data formats, authentication, error handling, and platform constraints. - Lead technical reviews and tailored solution discussions aligned to customer and product requirements. - Answer complex technical questions live to remove blockers and accelerate execution. - Provide detailed post-call follow-ups including technical summaries, architecture diagrams, and next steps. - Platform & API Subject Matter Expertise - Serve as the internal and external SME on our SaaS platform, APIs, integrations, and supported workflows. - Advise customers and internal teams on best-practice integration approaches and implementation strategies. - Support Business Development by clearly communicating carrier availability, supported programs, and technical feasibility. - Collaborate with Engineering to confirm technical requirements, edge cases, and delivery timelines. - Integration Support & Technical Triage - Act as an escalation point for integration-related issues, reducing friction across Account Management, Operations, and Engineering. - Help define, support, and improve SLAs for technical tickets and customer integrations. - Identify recurring integration issues and drive root-cause resolution with Engineering. - Streamline technical workflows to reduce back-and-forth and improve time-to-resolution. - Documentation, Enablement & Scale - Create and maintain high-quality technical documentation, including FAQs, integration guides, and implementation resources. - Analyze common integration questions and convert them into scalable documentation and knowledge-base content. - Improve internal enablement by aligning Sales, AMs, and Ops on accurate technical messaging and expectations. - Cross-Functional Leadership - Partner closely with Engineering to align technical realities with customer-facing messaging. - Provide feedback on product gaps, integration friction, and roadmap risks. - Support clearer communication around product changes, launch timelines, and roadmap updates. Qualifications - 5+ years of experience as an Engineering Manager, Solutions Engineer, or Technical Lead in a SaaS environment. - Strong experience with APIs, integrations, and technical system design. - Proven ability to explain complex technical concepts to both technical and non-technical audiences. - Experience supporting customer integrations, implementations, or onboarding. - Excellent written and verbal communication skills, including technical documentation. - Highly organized, proactive, and able to operate independently in ambiguous environments. Requirements - Experience in API-first, fintech, insurtech, or highly regulated SaaS platforms. - Familiarity with carrier integrations or complex third-party ecosystems. - Experience creating presales architecture diagrams or technical enablement materials. - Exposure to ticketing systems and SLA-driven support models. Benefits - The expected salary range for this position is $130,000 USD to $155,000 USD annually. - This salary range is an estimate, and the actual salary may vary based on the Company's compensation practices. - The salary may be adjusted based on applicant's geographic location. - The position is also eligible to receive performance bonus or commission and equity in the form of restricted stock units. - This position is eligible to participate in the Company's standard employee benefits programs, which currently include health care benefits, retirement benefits, paid days off, and any other tax-reportable benefits. Company Description QuinStreet is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, pregnancy status, sex, age, marital status, disability, sexual orientation, gender identity or any other characteristics protected by law. Please see QuinStreet’s Employee Privacy Notice here.

• Partner directly with enterprise customers to understand business challenges and identify AI opportunities. • Design, develop, and deploy AI-powered applications using Google Cloud and Generative AI technologies. • Build solutions using LLMs, RAG, AI agents, APIs, and enterprise data platforms. • Develop scalable backend services, integrations, and cloud-native applications. • Lead technical workshops, architecture discussions, and solution design sessions with customers. • Rapidly prototype, test, and iterate on AI use cases to drive business value. • Collaborate with product managers, data scientists, and engineering teams to deliver production-ready solutions. • Ensure solutions meet standards for scalability, security, reliability, and performance. • Support customer deployments and serve as a trusted technical advisor throughout project delivery. • Stay current with emerging AI and cloud technologies and help drive innovation across the organization.

• Lead the SQE workstream and maintain the deliverables plan (qualification, audits, inspections, document reviews, validations/releases) while reporting progress and risks to project governance. • Coordinate notifications for witness points / hold points / inspections and ensure follow-up. • Facilitate the qualification team to review, validate and approve supplier documentation and results. • Define and coordinate risk-based surveillance with hold points / witness points proportionate to the scope’s complexity and criticality, and adjusted according to supplier performance. • Apply RCC‑M, ISO 19443, ASME III, ESPN/PED, IAEA or client-specific requirements, and review relevant project deliverables. • Drive NCR activities and problem resolution, verify the effectiveness of corrective actions, incorporate prevention and lessons learned, manage the supplier risk matrix/scorecard and lead improvement plans. • Represent the SQE function at client/authority meetings, readiness reviews and audits, and align inspection/test strategies and documentation expectations. • Participate in the RFQ phase and upstream supplier scouting with Procurement to support project bids and help develop a high-performing supply chain for projects.

• Support production and non-production JO and Analytics environments across regions; troubleshoot incidents with peers and TechOps; contribute to root-cause analysis and follow-up improvements. • Build and maintain Bash and Python scripts and small tools for deployments, diagnostics, data/ops workflows, and reducing manual toil. • Contribute to Azure DevOps pipelines, Terraform-managed AWS resources, and Kubernetes (EKS) workloads; follow Git-based change practices and team standards. • Help operate monitoring and alerting (Prometheus, Grafana, CloudWatch); tune dashboards and runbooks so issues are visible early. • Coordinate with Development, Professional Services, and Support on releases, environment needs, and customer-impacting work; communicate clearly in a distributed team. • Write runbooks, READMEs, and handoffs for systems you touch; make it easy for the next engineer to operate what you built. • Question how things work, propose safer/faster patterns, and adopt modern DevOps, cloud, and data pipeline (ETL/streaming) practices where they fit our stack.