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The Customer Success Manager is responsible for ensuring high customer satisfaction and product adoption to preserve recurring revenue and drive growth. This includes managing account health, conducting business reviews, and negotiating contract renewals for cloud customers.
Design, build, and maintain a petabyte-scale platform for collecting and serving product metrics. Ensure the reliability, performance, and cost-efficiency of business-critical systems used for billing and customer dashboards.
Build and lead the data practice from the ground up, owning the full P&L and driving revenue growth to $5m in the first year. Act as the senior technical authority for C-suite clients while managing a high-performing team of data consultants and engineers.
Design, develop, and monitor high-performance services and APIs using Golang and Python on cloud platforms. Collaborate with cross-functional teams to deliver production-ready code while participating in an on-call rotation.
Lead and grow the curriculum content development team to produce high-quality K-12 CS and AI learning materials. Manage the development roadmap, uphold pedagogical standards, and integrate AI into content creation workflows.
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Research, design, and build features to drive user adoption and engagement through personalized onboarding experiences. Collaborate with cross-functional teams to run experiments that increase trial user engagement and reduce churn.
Lead end-to-end engineering for complex outside plant programs, including conceptual routing, permitting, and construction release. Manage technical direction for fiber/copper builds while mentoring junior engineers and ensuring NESC compliance.
Lead the evolution of the mobile ecosystem by designing high-performance architectures for AI Agents on iOS and Android. You will own the full mobile development lifecycle and mentor other engineers to scale agentic workflows and real-time interactions.
Provide technical support for internal and external customers through remote BMS monitoring, alarm response, and energy savings analysis. Assist in the commissioning of systems and collaborate with sales teams for client presentations and proposal development.
Design and deliver production AI capabilities, including intelligent agents and workflows, to automate clinical and operational processes. Build, deploy, and continuously improve machine learning models and reusable platform components to enhance the Curve platform.
Responsible for developing and performing all sales activities across the Central US region to grow new business and maintain existing accounts. This includes managing relationships with fleets, OEMs, and dealers for auto inflation and telematics solutions.
Lead client-facing Collibra implementations focusing on data governance, metadata management, and stewardship use cases. Facilitate discovery workshops and translate business requirements into scalable technical solution designs and configurations.
Design and deliver the next generation of AI capabilities and reusable frameworks for the Curve platform. Collaborate with cross-functional teams to build scalable production services, agentic workflows, and intelligent applications.
Design, build, and operate distributed data-intensive backend systems and pipelines to power product capabilities. Own production infrastructure and participate in an on-call rotation to ensure system reliability and performance.
The role involves embedding with product teams to design observable and scalable systems while defining production-readiness standards. You will also manage the on-call rotation, lead incident postmortems, and build 'paved road' infrastructure across multiple cloud providers.
Develop and maintain an Internal Developer Infrastructure Platform focusing on CI/CD, observability, and Kubernetes optimization. Guide technical decision-making and create agentic workflows to improve developer productivity and platform scalability.
The Technical Engineer III provides senior technical leadership for enterprise Health IT modernization initiatives and evaluates solution architectures. They are responsible for ensuring systems are scalable, secure, and interoperable while aligning with federal enterprise architecture standards.
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Drive partner-sourced revenue by embedding Mosaic AI into the recommended architectures of hyperscalers, ISVs, and system integrators. Focus on establishing the semantic layer as a default component within Google Cloud's agentic AI and other data-platform ecosystems.
Lead a globally distributed team of engineers to evolve the ingestion framework and connector ecosystem for the DataHub platform. Drive the development of AI-driven onboarding and troubleshooting agents while ensuring platform reliability and scalability.
Design and deploy machine learning models and optimization solutions to improve sales force effectiveness and customer engagement globally. Collaborate with cross-functional teams to translate commercial problems into scalable data science pipelines and production-grade code.
Lead enterprise data strategy, governance, and analytics modernization efforts for DHS Health IT initiatives. Collaborate with stakeholders to establish data standards, improve data quality, and develop implementation roadmaps.
Act as a liaison between government stakeholders and technical teams to gather and document business requirements. Support system modernization efforts and ensure technical solutions align with business objectives through process modeling and UAT coordination.
Develop operational and executive dashboards to monitor performance and support data-driven decision-making for Government leadership. Perform quantitative analysis, trend forecasting, and collaborate with stakeholders to define reporting requirements.
Lead enterprise data governance and intelligence implementations by designing scalable Collibra operating models and configuring platform capabilities. Serve as a trusted advisor to clients, bridging the gap between business needs and technical execution across various sectors.
Design, build, and optimize enterprise data pipelines and analytics environments to support Health IT modernization. Collaborate with data scientists and analysts to deliver scalable, secure, and high-quality data solutions.
Drive the adoption and reinforcement of sales processes and training programs across a franchise network, primarily supporting Superior Fence & Rail. Focus on coaching sales professionals, optimizing performance through KPIs, and developing scalable enablement resources.
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Act as a liaison between government stakeholders and technical teams to gather and validate business requirements. Support system modernization efforts through process modeling, Agile backlog development, and User Acceptance Testing coordination.
Architect and own the full demand generation engine, balancing inbound, outbound, and brand-influenced strategies to drive pipeline growth. Lead and enable the Growth Manager team while partnering with Sales and RevOps to optimize the martech stack and lead lifecycle.
Develop and validate proof of concepts for advanced AI and machine learning use cases within a cloud-based analytics ecosystem. Responsibilities include hands-on data exploration, prototyping, and implementing secure MLOps practices for federal health IT solutions.
Oversee the execution of Management and Professional Liability claims activities, including settlement processing and investigation for North American and Bermuda-based MGA and Programs. Provide technical oversight on excess claims, manage litigation to protect reputational risk, and advise the business on loss mitigation trends.
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