Client Advisor

Senior Application Developer - ERP

Hybrid Bonding Technology Development Engineer

Staff Water Engineer

Strategic Business Development Lead

Legal Workflow Specialist

Forward Deployed AI Strategist

Engineer, Senior - Equipment

Sales Operation Analyst

Senior Production Support Engineer – IDM Engineering (VP2)

Responsibilities: <ul><li>Engage with potential customers on frequent basis to maintain relationship and generate opportunities for sale.</li><li>Count and maintain the account of stock daily by managing the record of the opening stock and closing stock in the section allocated Report the sold sock and ensure the stock replenishment.</li><li>Develop and maintain relationship and network with competitors to leverage leading practices &amp; learning to improve store level processes.</li><li>Collate and relay customer feedback to the corporate teams like the merchandising, retail operations etc. to improve customer satisfaction and store ratings.</li><li>Manage customer queries and complaints as per the company guidelines.</li></ul> Requirements: <ul><li>2–4 years of retail sales experience, preferably in luxury retail, jewellery, fashion, watches, or premium lifestyle brands, with strong customer engagement and sales skills.</li><li>Proven ability to achieve sales targets by understanding customer needs, recommending suitable products, and delivering an exceptional end-to-end shopping experience.</li><li>Experience in retail store operations, including stock management, visual merchandising, inventory control, billing, and adherence to store SOPs.</li><li>Strong customer service and relationship management skills, with the ability to handle customer queries, resolve complaints, and build long-term customer relationships while maintaining high service standards.&nbsp;</li><li>A Bachelors degree (Graduation) is mandatory and is an essential eligibility criterion for candidates applying for this position.</li></ul>

Responsibilities Key Accountabilities <ul><li>APPLICATION CONFIGURATION MANAGEMENT: Builds and drives complex application configurations to meet user and business requirements while identifying improvements to complex application support processes and procedures.</li></ul> <ul><li>APPLICATION DEVELOPMENT &amp; DEPLOYMENT: Performs and drives the design, configuration, testing, deployment, and support of changes and fixes, in accordance with established standards and practices.</li></ul> <ul><li>COMMUNICATION &amp; SUPPORT: Plays a key role and keeps an open channel of communication with stakeholders and responds to support requests and needs.</li></ul> <ul><li>APPLICATION SUPPORT: Conducts and leads advanced and complex application support activities to maintain system stability and meet business outcomes.</li></ul> <ul><li>STAKEHOLDER MANAGEMENT: Collaborates effectively with business partners, technical peers, &amp; vendors in multi-functional global teams, to ensure solutions and configurations align with business requirements and best practices.</li></ul> <ul><li>INCIDENT &amp; REQUEST MANAGEMENT: Leads prioritization of incoming incident tickets &amp; user requests and driving timely resolution.</li></ul> Requirements <ul><li>Minimum requirement of 4 years of relevant work experience. Typically reflects 5 years or more of relevant experience.</li></ul> <ul><li>ERP &amp; DOMAIN EXPERTISE: Solid hands‑on experience with enterprise‑scale applications (ERP preferred) in a techno‑functional capacity, demonstrating strong solution design and delivery capabilities. Deep knowledge of, and experience within, one or more ERP business domains (Order-to-Cash, Procure-to-Pay, Agriculture, Finance etc.)</li></ul> <ul><li>FULL LIFE CYCLE IMPLEMENTATION: Proven experience delivering large and complex application implementations (eg. ERP) across the full lifecycle, including system design and implementation, deployment, go‑live, and post‑go‑live stabilization and support, leveraging Agile, Scrum and/or DevOps practices.</li></ul> <ul><li>PROGRAMMING &amp; CUSTOMIZATION: Knowledge and/or experience with languages such as Java, C#, Python, or platform specific scripting (eg. ABAP for SAP) for application customization and experience with various pipelines, is preferred.</li></ul> <ul><li>DATA MIGRATION &amp; INTEGRATION: Experience with data migration strategies and large scale data transfers from legacy systems, including ETL processes.</li></ul>

Responsibilities: <ul><li>Design, collect data, analyze, and compile reports on difficult process engineering experiments. Measure film and surface properties, and interpret data.&nbsp;</li><li>Optimize process to push product performance to HW limit.</li><li>Generate innovative ideas to tackle challenges in hybrid bonding enablement. Guide engineering on prototyping. Perform hardware characterization on a variety of difficult systems.</li><li>Implement new technology, products, and analytical instrumentation.</li><li>Troubleshoot complex problems, perform root cause analysis, and resolve a variety of difficult process engineering issues.</li><li>Generate internal documentation for products, presentations, and technical reports.</li><li>Communicate and engage with customers to resolve complex process engineering issues or concerns, under limited supervision.</li><li>Identify, select, and partner with vendors and suppliers.</li><li>Serve as a resource for junior colleagues; lead project teams, as needed</li></ul> Requirements: <ul><li>Bachelor’s degree in a related field. Higher education is a bonus.</li><li>3-7 years of related experience .</li><li>Demonstrates conceptual and practical expertise in complex problem solving.</li><li>Innovative &amp; can think out of the box. Passionate on going through iterative process/hardware development testing &amp; learning cycles.</li></ul>

Responsibilities: <ul><li>Lead UPW/WWT system design for construction projects across the region</li><li>Drive alignment of O&amp;M practices across all sites</li><li>Lead cross-functional teams to improve reliability and reduce variation</li><li>Review and optimize PM and predictive maintenance programs</li><li>Provide technical leadership during system failures or major incidents</li><li>Conduct hydraulic and hydrologic analyses using engineering software.</li><li>Review and approve technical deliverables to ensure accuracy and quality.</li></ul> Requirements: <ul><li>Bachelor’s Degree in Chemical/Mechanical Engineering or equivalent</li><li>10–12+ years of UPW/WWT engineering experience</li><li>Must Have Technical Skills</li><li>Deep expertise in UPW/WWT system design and operations</li><li>Strong capability in SPC, reliability engineering, and process optimization</li><li>Experience in large-scale facility systems and construction integration</li><li>Performance benchmarking and data-driven decision making</li></ul>

Responsibilities: <ul><li>Partner with Account Executives / Strategic Account Managers to research prospects, shape pursuit strategies, and drive opportunities from qualification through close (new business and expansion), including positioning, objection handling, driving stakeholder alignment.</li><li>Engage managing partners, practice chairs, firm leadership, and senior in-house counsel to understand priorities and position us as a trusted partner in legal AI and workflow transformation.</li><li>Lead senior-level discovery and structured workflow analysis to diagnose challenges, map decision makers / champions, and identify value levers, inefficiencies, and measurable ROI opportunities.</li><li>Translate legal workflows into clear, commercially compelling use cases and solution strategies, aligned to practice areas and client strategic objectives.</li><li>Design and deliver tailored, insight-led demonstrations and high-impact presentations that connect workflow insight, product capability, and commercial outcomes across 1:1, small group, and large group settings.</li><li>Develop bespoke proof-of-concept engagements to validate value and build confidence; serve as the Voice of the Customer by partnering with product/engineering/marketing/strategy, informed by customer/competitor/market research, and represent us at industry events and executive briefings.</li></ul> Requirements: <ul><li>For US-based employee, have a JD</li><li>For UK-based coverage, be a Qualified Solicitor (England &amp; Wales) with 3+ years PQE • 3+ years of experience in leading law firm (Top 50) or in-house experience in large corporation</li><li>Background in corporate, finance, disputes/litigation, or other complex practice areas with demonstrable client-facing experience (preferred).</li><li>Have experience establishing credibility with partners, firm leadership, and senior in house counsel through strong executive presence, legal expertise, and AI fluency.</li><li>Deliver persuasive, insight-led presentations and demonstrations that engage both legal and business stakeholders (including impromptu whiteboard-style and formal presentations/demos).</li><li>Demonstrate a deep understanding of legal workflows, legal service delivery models, and emerging legal technology trends - able to translate this into tailored, workflow-specific value narratives.</li><li>Demonstrate curiosity, intellectual enthusiasm, and conviction about how AI and legal technology can transform legal workflows and client delivery.</li><li>Operate effectively in a target-driven, revenue-accountable role with a clear commercial mindset (pipeline/revenue ownership).</li><li>Collaborate effectively across teams (sales, marketing, product, client success) to deliver unified client engagement strategies. Sales or customer-facing experience (including law firm business development, secondment, or experience directly managing law firm client matters/relationships) is a plus.</li><li>Partner with Account Executives / Strategic Account Managers to research prospects, shape pursuit strategies, and drive opportunities from qualification through close (new business and expansion), including positioning, objection handling, driving stakeholder alignment.</li><li>Engage managing partners, practice chairs, firm leadership, and senior in-house counsel to understand priorities and position us as a trusted partner in legal AI and workflow transformation.</li><li>Lead senior-level discovery and structured workflow analysis to diagnose challenges, map decision makers / champions, and identify value levers, inefficiencies, and measurable ROI opportunities.</li><li>Translate legal workflows into clear, commercially compelling use cases and solution strategies, aligned to practice areas and client strategic objectives.</li><li>Design and deliver tailored, insight-led demonstrations and high-impact presentations that connect workflow insight, product capability, and commercial outcomes across 1:1, small group, and large group settings.</li><li>Develop bespoke proof-of-concept engagements to validate value and build confidence; serve as the Voice of the Customer by partnering with product/engineering/marketing/strategy, informed by customer/competitor/market research, and represent us at industry events and executive briefings.</li></ul>

Responsibilities: <ul><li>Design and deliver onboarding tailored to South African firms, practice groups, and in‑house legal teams.</li><li>Lead interactive training sessions that demonstrate AI‑enabled workflows across research, drafting, review, and knowledge management</li><li>Create clear, practical training materials, including guides and short videos.</li><li>Engaging in-house legal teams to understand their daily workflows and creating tailored AI solutions (e.g., Protégé Workflows) to enhance existing processes, improve outcomes, and increase productivity and ROI.</li><li>Monitor product usage across SA clients and drive increased utilisation, particularly in high‑volume corporate, regulatory, and litigation practices.</li><li>Identify adoption obstacles specific to SA legal environments</li><li>Demonstrate measurable client value, including efficiency gains, quality improvements, risk reduction and consistency.</li><li>Work with customers to understand existing processes and design improved, AI‑supported workflows.</li><li>Configure workflows to align with client preferences, practice‑area needs, and organisational standards.</li><li>Share proven approaches and best practices to support learning across the customer base.</li><li>Represent customer perspectives internally, translating feedback into clear, practical insights.</li><li>Partner with product and development teams to inform future improvements.</li><li>Support testing of new features, focusing on usability, accuracy, and real‑world application.</li></ul> Requirements: <ul><li>Admitted Attorney (LLB required; articles completed).</li><li>2–5+ years post‑admission</li><li>Exposure to complex legal workflows—corporate, commercial, litigation, regulatory or similar.( advantageous)</li><li>Confidence communicating with a range of stakeholders and delivering clear, engaging presentations or training</li><li>Ability to “translate” legal workflows into repeatable, technology‑enabled processes.</li><li>An interest in legal technology and curiosity about how AI can support better legal outcomes</li><li>Excellent relationship‑building, active listening and stakeholder‑management skills.</li><li>Data‑driven mindset with the ability to articulate value and ROI</li></ul>

Role Description: <ul><li>The Strategy team is looking for a hands-on AI-enabled strategy and market intelligence professional to materially accelerate the way we conduct deep research, market intelligence, analytical modeling, and GTM analysis by applying high impact AI workflows and translating them into sharper strategic decisions.</li><li>The individual will partner with business, product, commercial, and tech teams to translate ambiguous questions into actionable insights, while developing and scaling AI-enabled solutions that improve strategic decision-making and drive measurable business impact.&nbsp;</li><li>The individual is expected to work in close partnership with our client IT team, to leverage existing AI &amp; data capabilities on Databricks &amp; AWS (where applicable) while developing solutions.</li></ul> Responsibilities: Strategic problem solving and driving cross-functional execution&nbsp; <ul><li>Translate AI-assisted analyses into practical executive decisions by applying strong business judgment, rigorous validation protocols, and a sharp “so-what” orientation</li><li>Collaborate with and influence senior stakeholders across strategy, sales, technology teams, and P&amp;L owners</li><li>Good first-principles and problem-solving capabilities with the ability to build and test strategic hypotheses Identifying meaningful opportunities to leverage AI and deploying scaled AI solutions at pace</li></ul> Identify, assess, and prioritize high-value AI and automation opportunities by translating business challenges into scalable, practical solutions&nbsp; <ul><li>Design proprietary AI-enabled workflows, agents, and accelerators for recurring strategy activities (competitor monitoring, earnings call tracking, tariff and regulatory intelligence, voice-of-customer mining etc.)</li><li>Build reusable templates, workflows, and modules to drive adoption and embed AI capabilities into strategy processes</li></ul> Executing rapid AI-augmented research and competitive intelligence&nbsp; <ul><li>Lead AI-augmented research using tools like Claude, OpenAI, Perplexity, AlphaSense, CapIQ etc. to deliver source-triangulated competitive and industry insights</li><li>Synthesize structured datasets (S&amp;P Capital IQ, Bloomberg, IDC, Gartner) and unstructured sources (10-Ks, analyst reports, expert interviews) – to generate and validate AI-assisted outputs</li></ul> Support strategy team in day-to-day execution by leveraging AI-led tools <ul><li>Lead AI-enabled market sizing, opportunity mapping, and TAM/SAM/PAM modelling</li><li>Accelerate financial modelling – scenario and sensitivity analyses, valuation, NPV/IRR, segment P&amp;Ls, pricing</li><li>Support M&amp;A pipeline by AI-screening targets and generating investment theses</li></ul> AI enablement, coaching and continuous innovation <ul><li>Coach strategy team members on prompting techniques, research workflows, and AI-fluent execution</li><li>Scale AI adoption across Corporate Strategy through hands-on mentorship of beginner users</li><li>Stay current on agentic stacks, multimodal models, and deep research agents</li></ul> Requirements: Skillset and capabilities AI fluency and hands-on deployment orientation&nbsp; <ul><li>Working knowledge of GenAI patterns – LLM capabilities/limitations, prompt design, etc.</li><li>Proven ability to convert business problems into reusable AI workflows, tools, or accelerators</li><li>Builder mindset with experience prototyping AI solutions using frontier tools &amp; low-code platforms</li></ul> Analytics, modelling, and research excellence <ul><li>Strong modelling skills across TAM/SAM/PAM, scenarios, sensitivities, NPV/IRR, valuation etc.</li><li>Ability to synthesize structured datasets with unstructured sources</li><li>Research discipline – source triangulation and rigorous validation of AI outputs</li></ul> Strategic problem solving, communication, executive presence, and influence&nbsp; <ul><li>Sharp "so-what" orientation to translate AI outputs into practical executive decisions</li><li>Crisp written and verbal communication, with ability to frame board-ready narratives</li><li>Skill in explaining AI workflows and implications to both technical and non-technical audiences</li><li>Stakeholder management across strategy, commercial, data, and technology teams</li></ul> Ownership, and execution <ul><li>Independently own workstreams end-to-end – from framing through deployment</li><li>High bar for quality; never publishes unchecked AI outputs or unvalidated analysis</li></ul> Coaching and capability building&nbsp; <ul><li>Patience and ability to coach colleagues on prompting, research workflows, and source validation</li><li>Track record of building reusable playbooks – templates and training modules that scale adoption</li></ul> Passion, curiosity, and learning agility <ul><li>Deep passion for AI, tech, and industrial innovation, with curiosity to stay current on frontier tools</li><li>Entrepreneurial ownership mindset and drive to build a new AI-enabled strategy capability</li></ul> Qualifications:&nbsp; <ul><li>BE / B-Tech in Computer Science Engineering, Data Science or a related analytical field required; MBA, MS, M-Tech or equivalent advanced degree strongly preferred.</li><li>3–4+ years of experience in AI transformation, analytics, or AI-enabled business building. Prior Forward Deployed Engineer / Solutions Architect / Senior Data Scientist background preferred.</li><li>Experience in a top-tier strategy consulting firm, AI-native consulting team, analytics firm or corporate / product strategy team role strongly preferred.</li><li>Demonstrated experience building or deploying 0–1 AI solutions (not just experimenting), GenAI, analytics, automation, or workflow solutions in a business environment required.</li><li>Proficiency in Excel and PowerPoint required; Python or equivalent scripting capability strongly preferred. Experience with DevOps, CI/CD pipelines, and infra as code (e.g., Jenkins, Docker, Kubernetes) required.</li><li>Proficient in implementing AI platforms like AWS Bedrock, LangGraph, Crew AI, Glean etc.</li><li>Knowledge of enterprise data environments (esp. SAP, Databricks) or cloud platforms (esp. AWS) is a plus. Experience integrating AI systems with enterprise data platforms required.</li><li>Experience with LLM-powered solutions, RAG systems, agentic workflows, AI research tools, or AI-enabled knowledge manage</li></ul>

Responsibilities: <ul><li>Drive cost reductions weed out unwarranted expenses/wastages and improve equipment performance.</li><li>Drive equipment fault investigations and continuous improvement programs to resolve chronic equipment issues, and institute permanent resolutions to assure product quality and enhance process robustness.</li><li>Enforce on equipment maintenance controls and execution to conform to work instructions and procedures. Apply hands-on and with deep involvement at work.</li><li>Coach, guide and train engineers and technicians in equipment problem solving and analysis to build up their technical competencies and achieve self-sustenance.</li><li>Manage his team of technicians in providing effective support on production equipment.</li><li>Provide effective equipment trainings to the technicians to build up their technical and skill competencies.</li><li>Ensure non-conformance is dealt with in a proper and effective manner.</li><li>Take accountability of work and possesses strong sense of responsibility and teamwork.</li><li>Manage and control spare parts availability and costs.</li><li>Manage vendor services and supports and ensuring compliance with factory protocol.</li><li>Establish, review, and perform regular update of PM procedures, Risks Assessments and Troubleshooting guidelines.</li><li>Create technical specification for new and transferred equipment.&nbsp;</li><li>Execute the equipment move-in, installation, set up and buy-off, meeting set timelines.</li><li>Compliance with CSR, EHS, QM, ESD, 5S standard and cleanroom protocol.</li></ul> Requirements: <ul><li>Minimum bachelor’s degree in electronic or electrical Engineering or equivalent.</li><li>Minimum 4 years of related work experience in wafer process engineering and/or equipment maintenance.</li><li>Experience in high volume production of electronics components in an MNC or semi-conductor industry.</li><li>Possess strong technical competencies in his field of study.</li><li>Good knowledge of statistical and quality tools.</li><li>Able to work under pressure and with strong commitment at work.</li><li>Experience with computer systems and proficient with software applications such as MS Power Point, Excel, and Word.</li></ul>

Responsibilities: <ul><li>Support performance analysis: Assist in conducting in-depth analysis across sales representatives, segments and territories.&nbsp;</li><li>You will help identify trends, pinpoint growth opportunities and diagnose execution gaps to support data-driven improvements.</li><li>Assist with compensation planning: Collaborate with sales operations, leadership and compensation teams.&nbsp;</li><li>You will help gather data and provide analysis for incentive and compensation plans that align with strategic goals and recognize high performance.</li><li>Contribute to quota planning: Support quota planning and development processes.&nbsp;</li><li>You will help with data reviews to ensure transparent and equitable business goals that reflect current market realities.</li><li>Maintain data hygiene: Assist in establishing and following protocols for data accuracy, consistency and security to support trustworthy decision-making across the commercial organization.</li><li>Provide dashboard and reporting support: Contribute to the design, build and maintenance of advanced dashboards and reports.&nbsp;</li><li>You will help ensure sales teams and senior leadership have access to actionable intelligence for business decisions.</li><li>Support market research efforts: Help conduct customer, market and competitor research.&nbsp;</li><li>You will assist in generating timely insights that guide commercial strategies and position company for long-term growth in a competitive market.</li><li>Assist with win/loss analysis: Help analyze deals won and lost to provide strategic insights on pricing.&nbsp;</li><li>You will support identifying drivers of sales outcomes and share recommendations for competitive approaches and sustainable growth.</li><li>Aid in forecast planning: Work with business leaders to support and improve sales forecast planning.&nbsp;</li><li>You will assist in integrating performance metrics, pipeline insights and external market trends to inform resource allocation.</li></ul> Requirements: <ul><li>Relevant educational background in data analytics, sales, revenue operations, marketing, finance, or a related field, including hands-on experience through coursework, projects, or internships.</li><li>Exceptional analytical skills with the ability to solve complex problems using clear and actionable data while translating into actionable business insights</li><li>Excellent communication skills, with the ability to clearly present data insights and recommendations to cross-functional teams and business leaders</li><li>Advanced Microsoft Excel skills, including experience with formulas, pivot tables, data modeling, and large dataset analysis</li><li>Strong organizational and project management skills, with the ability to manage multiple priorities and deadlines in a fast-paced environment</li><li>Deep commitment to ownership, continuous learning and taking proactive steps to improve business outcomes.</li></ul>

Responsibilities: <ul><li>Engage in day-to-day support activities including incident and problem management</li><li>Perform production deployments, patch activities on the supported applications and servers.</li><li>Work with product support/development team for permanent resolution/change review – all types including enhancements, bug fixes, etc.</li><li>Work with level 1 support in application knowledge transfer in establishing standard first level recovery process/system health check monitoring/scheduled activities as well as common application user queries.</li><li>Collaborate with internal stakeholders like application, business, infrastructure, security, and operations to continuously improve the stability of applications.</li><li>Develop support operational documents to summarize common support issues.</li><li>Develop reports and drive audit RFI’s and requirements.</li><li>Develop Linux scripts based on the requirements.</li><li>Provide after office hours’ standby support and for emergency recoveries, including managing major incident of critical services.</li><li>Expected to drive improvements through influence and strong relationships with managers in other teams.</li><li>Correlate events across multiple systems to proactively surface and resolve deep, underlying issues.</li></ul> Requirements: <ul><li>Diploma/Degree in engineering/Computer Science / IT/Cyber Security from a recognized education institution</li><li>Professional qualification in information security, such as CISSP / CISM / CEH, or data Security product certifications will be advantageous.</li><li>9 to 12 years relevant experience</li><li>Strong working knowledge on Oracle Identity Governance 12c, Oracle Database, WebLogic, BI Publisher, Oracle Connectors, Linux, Unix &amp; Windows Enterprise Server OS, with mixed skills around administration, performance tuning and troubleshooting</li><li>Working knowledge of Python, java, Java Scripts,</li><li>Knowledge in network infrastructure like Load balancers, Firewalls, SSL etc</li><li>Working Knowledge on Directory - LDAP and AD Databases</li><li>Strong knowledge of Oracle SQL and proficient in writing complex SQL queries with hands on experience with reporting tools along with excellent computational ability.</li><li>Strong understanding of cybersecurity principles and frameworks including ISO 27001 &amp; NIST Cybersecurity Framework;</li></ul>

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60 deep learning Jobs found

Client Advisor

Senior Application Developer - ERP

Hybrid Bonding Technology Development Engineer

Staff Water Engineer

Strategic Business Development Lead

Legal Workflow Specialist

Forward Deployed AI Strategist

Engineer, Senior - Equipment

Sales Operation Analyst

Senior Production Support Engineer – IDM Engineering (VP2)

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60 deep learning Jobs found

Client Advisor

Senior Application Developer - ERP

Hybrid Bonding Technology Development Engineer

Staff Water Engineer

Strategic Business Development Lead

Legal Workflow Specialist

Forward Deployed AI Strategist

Engineer, Senior - Equipment

Sales Operation Analyst

Senior Production Support Engineer – IDM Engineering (VP2)

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

EMPLOYER

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