Senior Account Sales (Wafer Fab Equipment)

TA Specialist

Client Relationship Expert

TA Supervisor

AVP, Digital Analytics

Specification Sales Engineer, Low Voltage System Assemblies

Cost Accountant

Manager, Data Science - Agentic AI

Senior Data Scientist III - Agentic AI

Senior Data Scientist II - Agentic AI

Responsibilities: <ul><li>Act as the primary account owner, representing company to the customer and the customer internally across all sales-oriented activities.</li><li>Identify customer needs and develop, refine, and implement complex sales strategies to drive sustainable growth.</li><li>Engage existing and new customers to present company products and service offerings.</li><li>Coordinate and lead customer demonstrations in collaboration with Product Business Group representatives.</li><li>Communicate company product roadmaps, capabilities, and value propositions effectively to customers.</li><li>Translate customer technology requirements into actionable insights for internal product and engineering teams.</li><li>Prepare pricing quotations, lead negotiations, and drive deals to closure. Submit complete and accurate documentation to secure order bookings.</li><li>Conduct follow-up activities on accounts receivable to ensure timely payment and financial compliance.</li><li>Maintain structured coverage for all assigned accounts, ensuring strong engagement at multiple stakeholder levels.</li><li>Document and track all customer interactions, including detailed summaries of customer visits.</li><li>Develop and execute customer-specific action plans, ensuring timely follow-through and measurable outcomes.</li></ul> Requirements: <ul><li>Bachelor’s degree in Engineering, Business, or a related field (advanced degree preferred)</li><li>Significant experience in account sales, business development, or technical sales within semiconductor, capital equipment, or advanced manufacturing industries</li><li>Proven ability to manage complex customer accounts and sales cycles</li><li>Strong strategic selling and negotiation capabilities</li><li>Excellent stakeholder management and communication skills</li><li>Ability to translate technical requirements into business solutions</li><li>Ability to travel locally and regionally</li></ul>

Responsibilities: <ul><li>Select the desired employees and develop, implement, and monitor the programs and processes used in recruitment and selection.&nbsp;</li><li>They source, recruit, screen, interview and recommend external and/or internal candidates to staff open requisitions.&nbsp;</li><li>Utilize the services of employment agencies and/or place employment ads in appropriate sources, including the intranet, Internet, and print media.&nbsp;</li><li>Responsible for developing and implementing recruiting plans and administering talent management efforts and employee referral programs, managing the resume tracking system and ensuring consistent corporate image throughout recruiting campaigns.&nbsp;</li><li>Lead end-to-end recruitment, ensuring alignment with organizational strategy and culture.</li><li>Manage end-to-end hiring process: Source, resume screen, phone screen, schedule interviews, Offer documentation and onboarding</li></ul> Requirements: <ul><li>Minimum 6+ years of experience required for this role.</li><li>Should possess expert knowledge and innovative skills to source and attract active &amp; passive talent from different sourcing channels (job boards, social media, referrals and local outreach to identify potential candidates</li><li>Communication and Stakeholder management is key to be successful in this role as you work with global stakeholders and matrix organization</li><li>Good understanding of the engineering manufacturing industries in the local market, able to map talents, develop business intelligence for sourcing strategies and techniques</li></ul> Qualification <ul><li>Experience in handling end-to-end Talent Attraction Process [Source to Onboard]</li><li>Be able to develop Recruiting Strategies basis the skill demand and complexities</li><li>Expert knowledge and Hands-on in preparing market research, Market/Talent mapping using various tools such as Talent Neuron, Draup, LinkedIn Talent Insight</li><li>Data driven: able to analyse, slice &amp; dice data, develop insights from data and be able to make decisions to drive hiring strategies</li></ul>

Responsibilities: <ul><li>Client Relationship Management: Build and maintain strong, long-term relationships with high-value clients to foster loyalty, retention, and portfolio growth opportunities.</li><li>Strategic Insight &amp; Collaboration: Analyze client trends and market insights to identify strategic opportunities, collaborating closely with team managers and cross-functional stakeholders.</li><li>Sales &amp; KPI Performance: Drive sales performance and achieve KPI targets through advanced clienteling techniques aligned with business objectives.</li><li>Product Expertise &amp; Storytelling: Demonstrate expert knowledge of products and collections, using compelling storytelling to enhance client engagement and strengthen brand identity.</li><li>Operational Excellence: Ensure operational excellence by adhering to company guidelines, maintaining compliance standards, and effectively utilizing internal tools to optimize processes and elevate the client experience.</li></ul> Requirements: <ul><li>Years of exp: 5+ years of HNI luxury retail experience would be required</li><li>Excellent verbal and written communication</li><li>Client handling and conflict resolution skills</li></ul>

Responsibilities: Execute Hiring Strategies; <ul><li>Collaborate with Regional TA Manager, Business Leaders, HR partners, and Business teams to understand short- and long-term hiring needs.</li><li>Assist in developing and executing hiring plans, executing Global SLAs are aligned with the Business Goals</li><li>Stay informed about industry trends, market conditions, and emerging hiring practices &amp; tool</li></ul> Talent Sourcing &amp; Pipeline Development: <ul><li>Build and maintain a strong pipeline of candidates for various key roles such as NPD, NPI, PDE, MPDE and many more.</li><li>Assist the Regional TA Manager to develop and implement innovative hiring strategies using Market intelligence &amp; Talent Mapping tools.</li><li>Leverage a mix of sourcing channels: Internal/External career sites, social media Hiring such as LinkedIn, TikTok, Instagram, Facebook etc., Job Boards such as JobStreet, Monster</li><li>Familiar with hiring tools such as HireEz, ZoomInfo. Leverage employee referrals, and University hiring</li></ul> Employer Branding &amp; Candidate Engagement: <ul><li>Position the company as an employer of choice in the Engineering, Tech and manufacturing space.</li><li>Create content and campaigns targeting industry professional (e.g., webinars, blog posts, meetups, TechEvents)</li><li>Craft compelling job descriptions and recruitment materials tailored for manufacturing, Production and Engineering professionals</li></ul> Full-Cycle Recruitment: <ul><li>Deliver end-to-end recruitment: sourcing, screening, interviewing, offers &amp; compensation negotiation and onboarding</li><li>Collaborate with hiring managers to define role requirements and ideal candidate profiles.</li><li>Assist implement and monitor structured interview processes, including technical assessments</li></ul> Stakeholder Management: <ul><li>Act as the primary liaison between candidates and internal stakeholders</li><li>Provide regular hiring updates, metrics, and insights to leadership</li></ul> Data-Driven Recruiting: <ul><li>Use analytics to track sourcing effectiveness, time-to-hire, offer acceptance rates, and pipeline health.</li><li>Ensure Global Hiring Metrics, SLA and targets are aligned and achieved</li><li>Publish Daily / Weekly / Monthly / Qtrly reports on the efforts and progress</li><li>Optimize hiring funnel using recruitment metrics and KPI</li></ul> Requirements: <ul><li>Overall 8+ years of experience with Minimum of 5+ years from relevant industry</li><li>Preferably an Engineer of any discipline, but not mandatory (OR) Bachelor’s degree or higher in business administration or related field</li></ul>

Responsibilities: <ul><li>Lead and deliver Digital Measurement Analytics for Digital Platforms in Agile methodology to drive digital data strategy that includes collection &amp; validation of data and reporting.</li><li>Partner with onsite Stakeholders and various process owners in marketing, technology and digital teams to plan and implement strategic priorities.</li><li>Present analytical results and actionable recommendations to key stakeholders on a recurring cadence, and propose innovative analytics solutions to drive business growth and enhance the customer experience.</li><li>Responsible for team’s effective communication, project deliverables, coaching team on adhering to expected timelines, accuracy &amp; compliance with meticulous project management.</li><li>Lead internal initiatives, perform other duties and/or special projects, as assigned.</li></ul> Requirements: <ul><li>Degree in Statistics, Mathematics, Economics, Engineering, or any other quantitative streams with 4+ years of hands-on relevant Analytics experience.</li><li>Minimum 6+ years of relevant work experience in lieu of specified degree.</li><li>2+ years of experience in Digital or Web Analytics Domain utilizing tools such as Adobe or Google Analytics and 2+ years of experience in SAS or SQL.</li><li>1+ years of Experience in Managing People, Coordinating work, Supervising, Evaluating performance and ensuring employees are trained.</li><li>Minimum 1+ years of experience in Data visualizations tools such as Tableau to drive insights.</li><li>Excellent oral and written communication skills with ability to collaborate, articulate and present solutions cutting across functional/agile teams in a simple yet compelling manner</li></ul>

Role Description: <ul><li>Specification Sales Engineer, Low Voltage System Assemblies What you’ll do: As a Specification Engineer, you will have the opportunity to align your skills, interests, and aspirations with a role that allows you to define your own goals.</li><li>You will be responsible for expanding and maintaining a network of specifying entities—such as engineering offices, consultants, and end-users—ensuring the company is involved early in the project lifecycle.</li><li>You will influence specifications, track project sources, and ensure internal alignment to maximise opportunity conversion and solution adoption.</li></ul> Responsibilities: <ul><li>Prospecting: Identify new specifying entities and early-stage projects through proactive research and outreach.Building Relationships with Priority Specifying Entities: Cultivate long-term relationships with consultants, engineers, and end-users to influence project direction.</li></ul> <ul><li>Planning Account Actions: Develop account-specific strategies to drive specification success and long-term engagement.</li></ul> <ul><li>Planning Calls: Prepare and schedule impactful calls with specifying entities to uncover and advance project opportunities.</li></ul> <ul><li>Conducting Discovery: Gather detailed insights into customer needs, project requirements, and decision-making processes.</li></ul> <ul><li>Planning Opportunities: Align internal resources and timelines to capitalise on identified project opportunities.</li></ul> <ul><li>Drafting Initial Concepts: Create early-stage technical and commercial proposals tailored to project specifications.</li></ul> <ul><li>Transferring Descriptive Concepts to Backend: Ensure smooth handover of project concepts to internal teams for execution and follow-up.</li></ul> <ul><li>Making Bid or No Bid Decisions: Evaluate project fit and strategic value to determine pursuit strategy.</li></ul> <ul><li>Communicating with Internal Stakeholders: Coordinate with Project Sales Engineers, back office, and project management to ensure project continuity.</li></ul> Requirements: <ul><li>Educational Background: Bachelor’s or Master’s degree in Electrical Engineering, or justifiable equivalent education.</li><li>Previous Experience: 2–5 years of experience.</li><li>Required Languages: English &amp; Turkish</li></ul>

Responsibilities: Product Costing <ul><li>Calculate and maintain standard costs for products.</li><li>Determine labor rates and overhead absorption rates.</li><li>Maintain costing sheets and databases, including new product costing and pricing support.</li><li>Perform quarterly standard cost updates (cost roll).</li></ul> Cost Analysis <ul><li>Analyze and explain variances including:</li><li>Purchase price.</li><li>Material usage.</li><li>Labor and machine rates.</li><li>Efficiency and overhead.</li><li>Compare actual costs to standard costs and investigate deviations.</li><li>Identify root causes of cost fluctuations.</li><li>Analyze cost trends and evaluate cost behavior (fixed vs. variable).</li></ul> Month-End Activities <ul><li>Support month-end close with cost accounting entries.</li><li>Prepare journal entries with appropriate documentation.</li><li>Ensure accurate Cost of Goods Sold (COGS) reporting in P&amp;L.</li><li>Reconcile general ledger accounts with subledgers.</li></ul> Budgeting &amp; Forecasting Support <ul><li>Support preparation of cost budgets for operations/production.</li><li>Provide historical cost data for planning and analysis.</li><li>Calculate standard costs for budget models.</li><li>Monitor actual performance vs. budget.</li><li>Support forecasting through cost projections.</li></ul> Cost Optimization &amp; Business Partnering <ul><li>Identify cost reduction opportunities through data analysis.</li><li>Track and validate savings from cost improvement initiatives.</li><li>Partner with procurement on material cost updates.</li><li>Work closely with production on labor and overhead rates.</li><li>Provide cost insights to support operational decision-making.</li></ul> Requirements: <ul><li>Education &amp; Experience.</li><li>Bachelor’s degree in Finance, Accounting, Economics, or related field.</li><li>Professional accounting qualification is a plus.</li><li>Minimum 3+ years of experience in cost accounting (manufacturing environment preferred).</li><li>Experience in product costing and standard costing methodologies.</li><li>Exposure to SAP or similar ERP systems.</li></ul> Technical Skills <ul><li>Strong understanding of cost accounting principles and practices.</li><li>Advanced proficiency in Microsoft Excel.</li><li>Knowledge of Power BI and/or VBA is an advantage.</li><li>Familiarity with integrated systems and costing modules.</li></ul> Functional &amp; Industry Experience <ul><li>Experience working in a manufacturing or production environment.</li><li>Understanding of production processes, cost drivers, and operational workflows.</li><li>Hands-on exposure to plant-level costing and operational finance.</li></ul> Core Competencies <ul><li>Strong analytical and problem-solving skills.</li><li>High attention to detail and accuracy.</li><li>Structured and organized approach with the ability to manage multiple priorities.</li><li>Ability to work cross-functionally and collaborate with operations and supply chain teams.</li><li>Strong communication skills in English (written and verbal).</li></ul>

Responsibilities: <ul><li>Leading development of advanced AI Agentic tech.</li><li>Working closely with other data scientists and engineers to design, develop, and deploy AI solutions.</li><li>Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs.</li><li>Analyzing large datasets to identify patterns and trends that can inform AI development.</li><li>Communicating findings and insights to stakeholders in a clear and concise manner.</li><li>Staying current with the latest AI and machine learning trends and technologies.</li><li>Mentoring junior data scientists and provide guidance on AI and machine learning best practices</li><li>Driving best practices across our data science functions.</li><li>Setting strategy and team direction, with a clear vision for Data Science.</li><li>Working with product leaders to apply data science solutions..</li><li>Evaluating and creating new frameworks and defining methodologies and governance.</li><li>Leading small- to medium-sized teams (direct or indirect).</li><li>Setting a high bar for model development.</li></ul> Requirements: <ul><li>3+ years of people management experience.</li><li>7+ years of AI/ML experience.</li><li>Significant experience in managing larger technical teams (direct or indirect).</li><li>Have experience in mentoring or training others, acting as a subject matter expert to guide colleagues.</li><li>Be a natural problem solver, able to take a lead in collaborating to resolve issues.</li><li>Have excellent communication skills and the ability to convey information clearly to senior stakeholders.</li><li>Deep understanding of machine learning algorithms, including deep learning, gradient boosting, and random forests.</li><li>Experience working directly with large language models and Transformer based architectures including BERT, RoBERTa, T5 etc.</li><li>Working knowledge of applying recent LLMs including ChatGPT, GPT 3.5, OPT, BLOOM, etc.</li><li>Experience with reinforcement learning, prompt engineering, hallucination mitigation.</li><li>Working understanding of the business risks associated with applying LLM in a business.</li><li>Experience working with large datasets and distributed computing systems (e.g., Hadoop, Spark).</li><li>Strong coding skills in Python or another programming language.</li><li>Excellent communicator, with the ability to translate complex technical concepts to non-technical stakeholders.</li></ul>

Responsibilities: <ul><li>Lead experimentation and model development for AI/ML solutions in legal products.</li><li>Design and evaluate NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies).</li><li>Define agentic workflows and reasoning strategies for multi-step legal tasks.</li><li>Define retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality).</li><li>Analyze large-scale legal datasets to extract insights and improve model performance.</li><li>Establish best practices for model evaluation, validation, and benchmarking.</li><li>Translate experimental results into clear product recommendations and business impact.</li><li>Collaborate with product, legal experts, and engineers to align solutions with user needs.</li><li>Mentor team members and provide technical leadership in data science and AI.</li></ul> Requirements: <ul><li>Bachelor’s or Master’s degree in a relevant field (e.g., Computer Science, Data Science, Statistics, Mathematics).</li><li>Strong experience in machine learning, NLP, and LLM-based modeling.</li><li>Proven experience designing and running experiments, including model evaluation and iteration.</li><li>Experience with generative AI techniques (e.g., prompt engineering, RAG).</li><li>Experience designing and evaluating hybrid search (semantic + lexical) using embeddings and vector databases.</li><li>Experience designing agentic workflows and reasoning strategies, with hands-on experience applying agent frameworks (e.g., LangChain, LangGraph, AutoGen) in real-world use cases.</li><li>Proficiency in Python and data analysis tools.</li><li>Ability to define retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality).</li><li>Able to analyze large-scale legal datasets to extract insights and improve model performance.</li></ul>

Responsibilities: <ul><li>Develop and implement NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies).</li><li>Define agentic workflows and reasoning strategies for multi-step legal tasks.</li><li>Develop retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality).</li><li>Analyze large-scale legal datasets to extract insights and improve model performance.</li><li>Establish best practices for model evaluation, validation, and benchmarking.</li><li>Translate experimental results into clear product recommendations and business impact.</li><li>Collaborate with product, legal experts, and engineers to align solutions with user needs.</li><li>Mentor team members and provide technical leadership in data science and AI.</li></ul> Requirements: <ul><li>Education: Master’s degree or above in a quantitative or technical field (Statistics, Computer Science, Mathematics, Data Science, etc.).</li><li>Strong experience in machine learning, NLP, and LLM-based modeling.</li><li>Strong experience designing and running experiments, including model evaluation and iteration.</li><li>Experience with generative AI techniques (e.g., prompt engineering, RAG).</li><li>Experience designing and evaluating hybrid search (semantic + lexical) using embeddings and vector databases.</li><li>Experience designing agentic workflows and reasoning strategies, with hands-on experience applying agent frameworks (e.g., LangChain, LangGraph, AutoGen) in real-world use cases.</li><li>Proficiency in Python and data analysis tools.</li><li>Strong foundation in statistics, modeling, and large-scale text processing.</li></ul>

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61 insights Jobs found

Senior Account Sales (Wafer Fab Equipment)

TA Specialist

Client Relationship Expert

TA Supervisor

AVP, Digital Analytics

Specification Sales Engineer, Low Voltage System Assemblies

Cost Accountant

Manager, Data Science - Agentic AI

Senior Data Scientist III - Agentic AI

Senior Data Scientist II - Agentic AI

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61 insights Jobs found

Senior Account Sales (Wafer Fab Equipment)

TA Specialist

Client Relationship Expert

TA Supervisor

AVP, Digital Analytics

Specification Sales Engineer, Low Voltage System Assemblies

Cost Accountant

Manager, Data Science - Agentic AI

Senior Data Scientist III - Agentic AI

Senior Data Scientist II - Agentic AI

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.