Customer Success Engineer
Manage the onboarding process and drive customer adoption, loyalty, and expansion to ensure maximum ROI. Conduct growth initiatives and QBRs while acting as a trusted technical advisor to executive decision-makers.
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Manage the onboarding process and drive customer adoption, loyalty, and expansion to ensure maximum ROI. Conduct growth initiatives and QBRs while acting as a trusted technical advisor to executive decision-makers.
You will own the numerical solutions and mathematical algorithms underlying the simulation engine while implementing them in C++. Additionally, you will build models for verification and collaborate with the engineering team to integrate new capabilities into the platform.
You will provide technical leadership for the simulation platform, guiding architectural decisions and ensuring the long-term health of the codebase. Additionally, you will own the technical delivery of features and mentor engineering team members to maintain high standards of quality.
You will be responsible for developing design solutions for fuel fabrication equipment, including CAD modeling, analysis coordination, and fabrication readiness. You will also collaborate cross-functionally to ensure designs meet performance, safety, and regulatory requirements.
You will implement batch and streaming data engineering technologies to build and optimize scalable data pipelines. You will collaborate with cross-functional teams to deploy automation processes that enable advanced analytics and business insights.
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You will conduct rigorous, independent validations of credit and fraud models while developing automated monitoring suites to track model performance. Additionally, you will partner with internal teams and stakeholders to ensure model compliance and resolve regulatory or audit findings.
You will lead the deployment, commissioning, and tuning of AI-powered control systems for industrial data center customers. Additionally, you will act as a technical expert, collaborating with data scientists and product teams to define requirements and provide ongoing support for deployed solutions.
Design, build, and maintain production-grade CI/CD pipelines and cloud infrastructure to operationalize machine learning models at scale. Collaborate with cross-functional teams to ensure platform reliability, scalability, and operational maturity within AWS environments.
Partner with ML engineering teams to diagnose and resolve complex distributed systems and infrastructure issues in production. Drive long-term reliability improvements by building internal tooling, automation, and documentation.
You will own features end-to-end, from design through implementation and rollout, while collaborating with product and engineering teams. Additionally, you will extend agentic AI foundations into customer-facing product experiences across the company's suite.
The Pre-Sales Engineer leads technical discovery, designs infrastructure solutions, and creates proposals and Statements of Work to support the sales cycle. They act as a technical advisor to clients and collaborate with internal teams to ensure sold solutions are deliverable and aligned with business outcomes.
You will lead development efforts on complex Salesforce implementations and mentor junior developers while contributing to the technical roadmap. You will also collaborate with cross-functional teams to translate public health requirements into scalable, high-quality technical solutions.
Perform and manage commissioning procedures for mechanical and electrical systems in mission-critical facilities. Develop commissioning scripts, execute testing, and assemble final reports while maintaining client relationships and project schedules.
You will be responsible for the operation of web applications, including automating processes and optimizing CI/CD pipelines. Additionally, you will integrate new features into backends and extend the functionality of existing products.
You will own the end-to-end solution design and hands-on development of key features using Python, React, and AWS. Additionally, you will manage CI/CD pipelines, infrastructure, and the deployment of AI agents to production.
The Senior Analyst will serve as a primary contact for publicly traded clients, providing strategic counsel on equity and ownership trends using AI-driven platforms. They will also act as an expert prompt engineer to automate data processing and support commercial growth by identifying upsell opportunities.
The Senior CRM & GTM Systems Administrator will own the administration, configuration, and data integrity of the HubSpot CRM and the broader GTM tech stack. This role involves architecting scalable solutions, managing integrations, and partnering with cross-functional teams to ensure reliable workflows and actionable reporting.
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Drive core research by developing and executing scientific vision while designing reinforcement learning feedback loops for biological models. Collaborate with the experimental team to bridge wet and dry lab efforts and architect robust model training infrastructure.
The Program Architect will design and implement a comprehensive GRC framework across standards like FedRAMP, CMMC, and SOC 2. They will partner with engineering and infrastructure teams to translate compliance requirements into actionable technical security controls.
The HR Operations Lead will own and evolve People Infrastructure in North America, managing employee lifecycle processes and operational workflows. They will lead a team to improve HR systems, implement automation, and ensure operational excellence across the organization.
The role involves implementing and supporting global secrets management and PKI services while ensuring robust data protection. You will act as a technical lead to engineer security measures and collaborate with architects to maintain mature security infrastructure.
The Technical Solution Architect will lead the end-to-end process design, integration, and deployment of the Siemens Teamcenter PLM platform. They are responsible for providing technical guidance, managing data conversion, and mentoring the solution delivery team to ensure successful implementation.
Lead technical strategy for complex enterprise-level opportunities by defining solution architecture and value narratives. Partner with Account Executives to shape deal strategy and deliver executive-level presentations and demonstrations.
The Account Executive will serve as a subject matter expert for Federal Civilian institutions, driving sales of the Salesforce Marketing technology stack. Responsibilities include managing the full sales cycle, generating new business opportunities, and ensuring customer satisfaction and retention.
The Director of Data Science & AI will lead a team to develop scalable data solutions, integrate AI into business workflows, and drive data-informed decision-making. This role involves hands-on technical leadership, managing the data science roadmap, and collaborating cross-functionally to ship production-grade AI products.
You will leverage AI tools to build and architect software features, design systems, and service layers for various client projects. Additionally, you will consult directly with clients, perform codebase audits, and coach client developers on industry best practices.
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The Manufacturing Engineer will drive concurrent engineering, supplier process readiness, and industrialization for steel components and assemblies. They will lead technical initiatives to document best practices, manage engineering changes, and ensure manufacturability across the global supply base.
The Network Engineer will design, implement, and troubleshoot on-premises, cloud, and hybrid network infrastructures. They are also responsible for driving process improvements through automation and maintaining cloud components within Amazon Web Services.
The Senior Solutions Architect serves as a technical authority and trusted advisor to sales teams, customers, and partners to solve business issues using the Elastic Stack. You will lead technical discovery, articulate product value, and act as the voice of the customer to internal engineering and leadership teams.
Participants will use a Google Pixel device as their primary phone to interact with various apps and generate notifications. They are required to complete daily notification sorting workflows and submit short feedback forms.
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