Continuous Improvement Analyst

Solutions Engineer, AI

Account Executive, AI

Cyber Security Sales Specialist

AI/ ML Engineer

Senior Data Engineer (Python)

Manager I R&D/Product DVL Engineering - Electronic and Sensor Integration

Staff R&D/Product Development Engineer – Signal Integrity

Principal R&D/Product Development Engineer

Senior Digital Marketing Analyst/ABM Lead

Responsibilities: Digital Factory Corporate Application Deployment: <ul><li>Responsible for the implementation and deployment of corporate-developed applications within factory settings, ensuring seamless integration and operation.</li><li>Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.</li><li>Continuously improve and optimize the performance of applications based on user feedback and system analytics.</li></ul> Digital Factory Local Application Development: <ul><li>Design, develop, and maintain digital factory applications that improve operational efficiency and support business growth within our manufacturing facilities.</li><li>Collaborate with cross-functional teams to understand and translate business requirements into technical solutions that drive process optimization and innovation.</li></ul> AI Model Development: <ul><li>Seamless collaboration with corporate AI teams to design and develop advanced AI models and tailored to specific business problems or application requirements.</li><li>Conduct research on the latest AI techniques and algorithms to continuously improve the performance and accuracy of existing models.</li></ul> AI Model Deployment and Maintenance: <ul><li>Oversee the deployment of AI models from development environments to production environments, ensuring a smooth transition and minimal disruption to business operations.</li><li>Set up monitoring and alert systems to detect and respond to any issues that may arise during the operation of the AI systems.</li><li>Provide ongoing maintenance and support for deployed AI models, including updating and retraining as needed to adapt to changing business conditions or data characteristics.</li></ul> Collaboration and Communication: <ul><li>Work closely with cross-functional teams including data scientists, software engineers, product managers, and domain experts to define project requirements and deliverables.</li><li>Communicate technical findings and progress to non-technical stakeholders in a clear and understandable manner.</li><li>Participate in team meetings, code reviews, and knowledge sharing sessions to contribute to the overall team development.</li></ul> Requirements: <ul><li>Total experience – 5+ years</li><li>On manufacturing digitalization, IT understandable, know basic of programming, system migration, IT related candidate in manufacturing engineering.</li><li>Cover both plant</li><li>Mandarin Speaking requirements is a must</li><li>Good to come from engineering background</li></ul>

Responsibilities: <ul><li>Collaborate with account teams to understand customer requirements and align technologies to meet business outcomes.</li><li>Deliver compelling technical presentations, product demonstrations, and architecture discussions.</li><li>Design and configure solutions across architecture portfolio (networking, data center, software, and services), with a specialization in Data Center technologies.</li><li>Provide strategic and in-depth technical support throughout the sales cycle, from discovery to proposal development and post-sale transition.</li><li>Act as a technical thought leader and trusted advisor to customers, aligning technology recommendations with business goals.</li><li>Coordinate with internal teams and technical experts (e.g., consulting engineers, demo labs) to create and deliver comprehensive solutions.</li><li>Translate complex customer needs into actionable architectures and proposals using tools and resources.</li><li>Maintain technical proficiency across offerings and stay updated on industry trends and competitive technologies.</li><li>Build and maintain strong relationships with customer stakeholders, including technical influencers and decision-makers.</li></ul> ﻿Requirements: Minimum Qualifications: <ul><li>Bachelor’s degree in Engineering, Computer Science, or a related field (or equivalent experience).</li><li>5–10 years of experience in pre-sales engineering, systems engineering, or solutions architecture.</li><li>Proven experience with technologies in a pre-sales capacity.</li><li>Hands-on expertise and deep knowledge in at least two or more of the following areas:</li><li>Compute infrastructure and server hardware</li><li>Hyperconverged infrastructure (HCI)</li><li>Virtualization technologies (e.g., VMware, Hyper-V)</li><li>Storage and backup solutions</li><li>Data Center networking, SDN, and SDS</li><li>Strong understanding of data center portfolio and how it integrates across enterprise architectures.</li><li>Familiarity with performance metrics, scalability considerations, and deployment best practices.</li></ul> Soft Skills and Competencies: <ul><li>Strong communication, presentation, and negotiation skills.</li><li>Ability to simplify complex technical topics for varied audiences.</li><li>Proactive, self-motivated, and capable of working independently.</li><li>Excellent collaboration and interpersonal skills.</li><li>Integrity-driven with a passion for customer success.</li><li>Ability to handle multiple priorities and thrive in a fast-paced environment.</li></ul> Desired Skills (Nice to Have): <ul><li>Experience with enterprise and/or public sector clients.</li><li>Ability to articulate a technical vision and translate it into tangible business value.</li><li>Industry certifications (e.g., CCNP, CCIE, VMware, etc.) are a plus.</li></ul>

Responsibilities: Sales Strategy &amp; Business Development: <ul><li>Lead and manage end-to-end AI infrastructure sales cycles across assigned accounts and regions.</li><li>Identify, develop, and convert high-potential opportunities aligned with Cloud &amp; AI infrastructure offerings.</li><li>Build and implement strategic account plans to ensure long-term revenue growth and customer success.</li></ul> Customer Engagement: <ul><li>Act as a strategic advisor to enterprise customers, understanding their business objectives and aligning solutions to address their challenges.</li><li>Establish and nurture relationships with C-level executives and key technology influencers.</li><li>Position as a leader in AI infrastructure and next-generation data centre solutions.</li></ul> Cross-Functional Collaboration: <ul><li>Partner with internal teams including Presales, Engineering, Marketing, Channel Partners, and Customer Success to deliver tailored, end-to-end solutions.</li><li>Collaborate with technology ecosystem and alliances to expand solution reach and customer value.</li></ul> Technical &amp; Market Expertise: <ul><li>Maintain in-depth knowledge of data centre and AI infrastructure technologies (compute, GPU, storage, networking, cloud).</li><li>Stay current with emerging trends in deep learning, AI, and scalable infrastructure.</li><li>Monitor competitive activity and provide strategic insights to internal stakeholders.</li></ul> Revenue &amp; Pipeline Management: <ul><li>Meet and exceed quarterly and annual sales targets through disciplined pipeline management and strategic deal execution.</li><li>Leverage CRM tools (e.g., Salesforce) for accurate forecasting, opportunity tracking, and stakeholder visibility.</li></ul> Thought Leadership &amp; Enablement: <ul><li>Represent at customer briefings, industry events, and executive roundtables as a subject matter expert in AI Infrastructure.</li><li>Contribute to go-to-market strategies, customer enablement initiatives, and the launch of new data centre solutions.</li></ul> ﻿Requirements: <ul><li>Experience: Minimum 7+ years in technology sales or account management, ideally in enterprise or data centre segments.</li><li>Sales Expertise: Demonstrated success in selling complex infrastructure solutions, particularly related to AI, data centre, or hybrid cloud environments.</li><li>Business Growth: Proven ability to drive revenue through innovative, technology-led solution selling and market development.</li><li>Technical Understanding: Solid grasp of modern data centre architecture, including compute, storage, networking, AI workloads, and cloud integration.</li><li>Relationship Management: Track record of building and maintaining strategic customer and partner relationships, particularly at the executive level.</li><li>Communication: Excellent presentation, communication, and interpersonal skills.</li></ul>

Responsibilities: <ul><li>Indian enterprise sector is going through huge digital transformation.</li><li>Areas like Cloud adaption, Advanced Analytics, AI, IOT, Block chain &amp; Robotic Process Automation, Information Security are key building block towards this transformation.</li></ul> You would be responsible for Building Security Business pipeline &amp; achieve the Security Annual targets in the large enterprise segment <ul><li>Lead Large Customer Engagement with CISO level conversation within top enterprises and conglomerate.</li><li>Support Sales Account Management (AM’s) as Cyber Security Sales Specialist in large complex projects (comprising of Zero Trust Architecture, Securing cloud work loads, transforming SOC, Micro segmentation and others)</li><li>Understand the client/sector requirements and Map Security products &amp; Services &amp; Build Solution Stack for Sales Account Managers</li><li>Understand NIST, CERTIN guidelines, mitre att&amp;ck framework, OT Security. Good understanding of Security products.</li><li>Well engaged with Tier-1 &amp; Tier-2 SI</li><li>Drive Security product sales within commercial segment in Manufacturing, PSU, ITeS, Digital Native and Pharma</li></ul> Who Youll Work With <ul><li>GSSO – SE team.</li><li>Account Manager.</li><li>Product Engineering BU across vertical.</li><li>Regional SE Team.</li><li>Regional Channel Team.</li></ul> Requirements: <ul><li>8-10 Years of experience in Security OEM / Service Provider Environment in managing Sales/ Pre-Sales/Product Management function</li><li>Good understanding of business scenarios with solution expertise to formulate a realistic and executable strategy for Security adoption among enterprises.</li><li>Possess blend of technology expertise across various cyber security vendors, enterprise networks, datacenter, cloud networking and Information systems security.</li><li>Good connects with Cybersecurity decision makers in enterprises</li><li>Lead Large Customer Engagement with CISO level conversation within top enterprises and conglomerate.</li><li>Support Sales Account Management (AM’s) as Cyber Security Sales Specialist in large complex projects (comprising of Zero Trust Architecture, Securing cloud work loads, transforming SOC, Micro segmentation and others).</li><li>Understand the client/sector requirements and Map Security products &amp; Services &amp; Build Solution Stack for Sales Account Managers</li><li>Understand NIST, CERTIN guidelines, mitre att&amp;ck framework, OT Security. Good understanding of Security products.</li><li>Well engaged with Tier-1 &amp; Tier-2 SI</li><li>Drive Security product sales within commercial segment in Manufacturing, PSU, ITeS, Digital Native and Pharma</li></ul>

Responsibilities: <ul><li>Responsible for ensuring that ML models and pipelines are deployed successfully into production</li><li>Implementation of ML features for new and existing systems</li><li>Deploy applications to AWS cloud leveraging on the full spectrum of the AWS cloud services</li><li>Automate model training, testing and deployment using CI/CD</li><li>Understand and implement metrics to verify effectiveness and soundness of the ML model</li></ul> Requirements: <ul><li>Formal training in a quantitative discipline (e.g., statistics, operations research, economics, computer science, mathematics)</li><li>5 years of relevant work experience in data analysis, data science or related fields, with deep expertise in statistical data analysis</li><li>Experience with Python and related ML libraries (eg. Pandas, Pytorch)</li><li>Experience with database languages (e.g. SQL)</li><li>Experience working in a multi-disciplinary team of data scientists, software engineers, product managers and subject domain experts</li><li>Experience in Agile working environment</li></ul> Preferred requirements: <ul><li>Experience with AWS cloud services like AWS Textract and Comprehend is preferred</li><li>Experience with Dagster/Airflow is preferred</li><li>Experience in MLOps</li><li>Experience in delivering Natural language processing (NLP) products</li></ul>

Responsibilities: <ul><li>DevOps assignments within a engineering team or product line.</li><li>Design, implement, and manage scalable, secure, and reliable infrastructure for AI projects.</li><li>Collaborate with data scientists and software engineers to streamline the deployment and operation of AI models.</li><li>Automate the deployment, monitoring, and scaling of AI applications using tools like Kubernetes, Docker, and Terraform.</li><li>Develop and maintain CI/CD pipelines to ensure efficient and error-free code releases.</li><li>Develop and maintain Infrastructure as code (IaC) solutions, automation of deployment, building High Availability network, working on container network</li><li>Monitor system performance, troubleshoot issues, and optimize infrastructure for cost and performance.</li><li>Mentor junior DevOps engineers and provide guidance on best practices and emerging technologies.</li></ul> Requirements: <ul><li>Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.</li><li>Programming language experience in python, go, shell scripts.</li><li>5+ years of experience in DevOps or a related role.</li><li>Proficiency in cloud platforms such as AWS, Azure（prefer).</li><li>Strong experience with containerization and orchestration tools like Docker and Kubernetes.</li><li>Solid understanding of CI/CD tools such as Jenkins, Azure Pipeline.</li><li>Familiarity with infrastructure as code tools like Terraform or Ansible.</li><li>Familiarity with GitOps</li><li>Excellent problem-solving skills and the ability to work in a fast-paced environment.</li><li>Strong communication skills and the ability to collaborate effectively with cross-functional teams.</li></ul>

Role Description: <ul><li>The Electronic and Sensor Integration Team Manager will report to the product development team for cold applied products, part of Energy Business unit.</li><li>S/he will lead &amp; be responsible for managing a team working on new product development (NPD), value analysis and value engineering (VA/VE) and sustaining projects as well as perform management duties.</li><li>This role will require strong leadership skills and demonstrated product development experience in a global technology company to drive success for the Energy BU by leading his/her team to develop best-in-class engineering solutions for our customers.</li></ul> Responsibilities: <ul><li>Manage and drive the Electronic and Sensor Integration Team.</li><li>Demonstrate technical leadership. Provide technical solutions and break through ideas.</li><li>Guide the development of complex electronic systems, including analog and digital circuits.</li><li>Oversee the implementation of emerging technologies such as IoT, AI, and machine learning in electronic products.</li><li>Ensure adherence to industry standards (e.g., IEEE, IPC) and regulatory requirements (e.g., FCC, CE).</li><li>Perform resource planning and prioritization for required activities.</li><li>Accountable for delivering NPD projects on-time and on-budget.</li><li>Collaborate with product managers, mechanical teams, software developers, and system architects to integrate electronics into end products.</li></ul> Requirements: <ul><li>Graduate or postgraduate (BE or M.Tech) in Electronics engineering or related engineering discipline.</li><li>12+ years of engineering experience and with more than 5 years of experience in supervising and leading engineering team.</li><li>Experience in developing and industrializing electronic and sensor products, preferably associated with Energy market.</li><li>Excellent in people and resource management.</li></ul>

Role Description: <ul><li>As a Staff Product Development Engineer in the Signal Integrity Center of Excellence (SI COE), you will lead advanced signal integrity (SI) research, modeling, and validation for next-generation high-speed interconnects used in AI, data centers, and high-performance computing (HPC).</li><li>Your role involves independently conducting SI studies and design platforming, including geometry analysis and simulation-driven optimizations.&nbsp;</li><li>You will be responsible for exploring new SI methodologies, conducting literature reviews, formulating research plans, programming, simulating, and testing to develop innovative solutions—even in ambiguous environments.</li><li>You will collaborate closely with mechanical, manufacturing, materials, and operations teams to drive the adoption of cutting-edge SI technologies.&nbsp;</li><li>As a subject matter expert, you will oversee the entire SI lifecycle, from initial analysis and modeling to design, simulation, prototype fabrication, and final validation. You will tackle complex design challenges, leveraging advanced simulation tools to optimize designs for manufacturability and performance.&nbsp;</li></ul> Responsibilities:&nbsp; <ul><li>Drive SI design, simulation, and validation for next-gen high-speed interconnects (112G/224G PAM4, PCIe Gen6/7, Co-Packaged Optics) through the product development cycle.&nbsp;</li><li>Conducting SI COE analysis, including&nbsp;</li><li>Performing signal integrity simulations and analysis for high-speed interconnect product development. This includes determining the correct simulation methodology and setup to use, as well as a good understanding of the criteria for each interface.&nbsp;</li><li>Modeling the connector with the consideration of manufacture impact and application impact.&nbsp;&nbsp;</li><li>Providing solutions to the SI challenges. This includes identifying the problems, making research plan, developing new technologies, and training and sharing the findings to the SI community.&nbsp;</li><li>Develop novel interconnect solutions by optimizing mating interfaces, lead frames, and PCB transitions for resonance-free, low-loss performance.&nbsp;</li><li>Enhance bulk cable design &amp; termination techniques to minimize skew, impedance mismatches, and signal degradation.&nbsp;</li><li>Advance high-frequency testing methodologies beyond 67 GHz with innovative non-PCB-based test fixtures.&nbsp;</li><li>Utilize AI &amp; big data analytics for predictive SI modeling, auto-routing, and performance optimization.&nbsp;</li><li>Optimize material selection &amp; electromagnetic design to improve noise isolation, signal integrity, and high-frequency response.&nbsp;</li><li>Collaborate with NPD teams &amp; industry partners to influence SI strategies, technology roadmaps, and next-gen product designs.&nbsp;</li><li>Represent at industry forums (IEEE, OIF, PCI-SIG, etc.) and contribute to next-gen SI standards.</li></ul> Required Skills/Experience:&nbsp; <ul><li>Bachelor’s degree in electrical engineering.&nbsp;&nbsp;</li><li>Should have total work experience of 3-5+years.&nbsp;</li><li>Minimum of 5+ years of work experience in a signal integrity engineering role or related experience&nbsp;&nbsp;</li><li>Minimum of 3+ years of work experience in connector development - Experience with interconnect design or experience with connector &amp;/or cable/cable assembly design (high speed twinax cables, direct attach copper (DAC) cables)&nbsp;&nbsp;</li><li>Demonstrated experience using Signal integrity analysis tools (Agilent ADS, Ansys HFSS or equivalent, 3D modeling tools) and testing equipment (including VNA, TDR and BERT).&nbsp;</li></ul>

Responsibilities: <ul><li>Serve as a system architect for compute and networking applications.</li><li>Interface directly with OEM and other key customers to understand systems and evolving requirements.</li><li>Identify potential disruptive technologies and integrate customer needs into forward-looking product strategies.</li><li>Develop high-level system architecture requirements aligned with industry trends and customer roadmaps.</li><li>Influence executive leadership and stakeholders to invest in innovative technologies and products.</li><li>Collaborate across a geographically dispersed systems architecture team to share knowledge and drive consistency.</li><li>Act as a subject matter expert in industry standards, contributing to participation and leadership in relevant bodies.</li><li>Lead high-value development projects across hardware and high-speed signaling domains.</li><li>Coordinate with internal engineering teams to ensure customer-centric and technically feasible solutions.</li><li>Communicate technical concepts clearly to a variety of audiences, from customers to cross-functional internal teams.</li></ul> Requirements: <ul><li>Bachelors degree in Electrical Engineering or Mechanical Engineering; dual degree or MBA is a plus.</li><li>Minimum 12 years of experience in compute and/or networking system design and related technologies.</li><li>Strong technical background in high-speed signaling and hardware design.</li><li>Familiarity with AI, compute, networking, and storage architectures.</li><li>Excellent interpersonal, analytical, and communication skills.</li><li>Proven ability to lead technical projects and collaborate across global teams.</li><li>Must be self-motivated and able to work with minimal supervision.</li><li>Willingness to travel 25%–30% of the time.</li><li>Must reside in the Austin, TX area.</li></ul>

Responsibilities: <ul><li>Develop ABM strategies and plans to drive awareness and engagement within target markets, delivering superior user experience to key customers.</li><li>Design &amp; implement tailored campaigns (email, social, content, paid ads) for targeted accounts.</li><li>Develop account-specific playbooks and messaging frameworks aligned with buyer journeys.</li><li>Partner with cross-functional (Sales, PM, Engineering) teams to ensure alignment between ABM/digital efforts and sales goals.</li><li>Deliver ABM insights actionable for online &amp; offline customer interactions based on an in-depth understanding of business and customer needs.</li><li>Manage website experience relevant to target customers and identify opportunities to improve navigation &amp; personalization experience for target customers.</li><li>Optimize workflows and tools (e.g., CRM integrations, automation platforms) to streamline ABM processes.</li><li>Stay ahead of ABM trends and emerging technologies, such as AI-driven personalization and predictive analytics.</li><li>Make recommendations on digital and ABM capabilities to enable the business unit to deliver an optimized and personalized customer experience across all channels.</li></ul> Requirements: Background &amp; Qualifications: <ul><li>Bachelor’s degree required.</li><li>Experience in digital marketing, including experience in Account-Based Marketing (ABM) within the B2B/SaaS, technology, or infrastructure industries (preferably in AI, cloud, data center companies, or ABM environments).</li><li>Experience with the whole process of an ABM/digital program from strategy, planning, execution, monitoring, measurement, and optimization.</li><li>Proficient in ABM platforms, CRM systems, data analysis (Adobe Analytics, Google Analytics), content publishing (AEM), and search and social media (Google Ads, LinkedIn, YouTube, Facebook, etc.). Proficient in MS Office.</li><li>Self-driven candidate who anticipates challenges, identifies opportunities for improvement, and initiates cross-functional partnerships to achieve goals without direct oversight.</li><li>Strong data-driven decision-making mindset, with expertise in understanding enterprise buyer cycles, account scoring, and lead nurturing.</li><li>Clear storyteller able to translate data into actionable recommendations for cross-functional tea</li><li>Strong project management skills.</li><li>Good understanding of B2B customer journey, with customer-centric mindset.</li><li>Excellent interpersonal, organizational, and leadership skills.</li><li>Experience with website design, ABM/Personalized experience preferred.</li></ul>

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26 gen ai Jobs found

Continuous Improvement Analyst

Solutions Engineer, AI

Account Executive, AI

Cyber Security Sales Specialist

AI/ ML Engineer

Senior Data Engineer (Python)

Manager I R&D/Product DVL Engineering - Electronic and Sensor Integration

Staff R&D/Product Development Engineer – Signal Integrity

Principal R&D/Product Development Engineer

Senior Digital Marketing Analyst/ABM Lead

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26 gen ai Jobs found

Continuous Improvement Analyst

Solutions Engineer, AI

Account Executive, AI

Cyber Security Sales Specialist

AI/ ML Engineer

Senior Data Engineer (Python)

Manager I R&D/Product DVL Engineering - Electronic and Sensor Integration

Staff R&D/Product Development Engineer – Signal Integrity

Principal R&D/Product Development Engineer

Senior Digital Marketing Analyst/ABM Lead

WhiteCrow WhiteCrow is on a mission to connect companies with the best talent across the globe.

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WhiteCrow is on a mission to connect companies with the best talent across the globe.