Product Specialist – Implements

Planning and Control Planner

Financial Reporting and Accounting Lead

Consultant, Data Analytics & Reporting-Food

Staff Electrical Engineer (Global Facilities Engineering)

Staff Engineer, Electrical – Global Facilities Engineering

Strategic Business Development Lead

Forward Deployed AI Strategist

AML and Compliance Manager

Sales Operation Analyst

Responsibilities: Product Planning &amp; Category Management <ul><li>Conduct category research, competitive analysis, and product benchmarking to identify market opportunities and trends.</li><li>Support product roadmap development using market insights and field feedback.</li><li>Define product requirements and specifications aligned with customer applications and regional needs.</li></ul> Technical Evaluation &amp; Product Development Support <ul><li>Evaluate product specifications to ensure performance, reliability, and cost competitiveness.</li><li>Support sourcing, capability assessment, and technical alignment of vendors.</li><li>Lead sample evaluation, field testing, and validation for product selection.</li><li>Provide technical recommendations to cross-functional teams.</li><li>Technical Documentation &amp; Knowledge Management</li><li>Develop and maintain product specs, application guides, and technical documentation.</li><li>Create training materials for internal teams and dealers.</li><li>Ensure accurate and up-to-date product information across systems.</li></ul> Technical Support &amp; Field Enablement <ul><li>Act as the escalation point for complex product issues and provide troubleshooting support.</li><li>Conduct field validations, demonstrations, and performance assessments.</li><li>Collaborate with Service and Quality teams to resolve issues and improve products.</li></ul> Requirements: Education <ul><li>Bachelors degree in Mechanical Engineering, Agricultural Engineering, or a related technical discipline.</li><li>An equivalent combination of technical education and hands-on agricultural/off-highway equipment experience may be considered.</li></ul> Requirements: <ul><li>Minimum 6+ years of experience in the agricultural equipment/tractor implements industry.</li><li>Direct experience with tractor implements and attachments.</li><li>Ability to translate market needs and technical insights into product requirements and business recommendations.</li><li>Experience collaborating with Engineering, Suppliers, Quality, Sales, and other cross-functional teams.</li><li>Strong technical curiosity and ownership mindset.</li></ul>

Responsibilities: <ul><li>Employees must specialize in planning activities involving production control, inventory control, process control, shop floor control, and Material Resources Planning (MRP) integrity.</li><li>Maintain SAP Production Order release schedules to ensure material is available on time for manufacturing and engineering.</li><li>Reschedule and/or TECO work orders as required to support production priorities.</li><li>Improve component availability at the time of release by performing pre-shortage analysis.</li><li>Perform work order variance analysis and recommend corrective actions.</li><li>Review MRP execution to ensure data accuracy, reconcile supply and demand, and validate master scheduling and PDS requirements.</li><li>Review and ensure proper disposition of Engineering Change Orders (ECOs) and Engineering Change Requests (ECRs); prepare status reports for all active ECOs/ECRs.</li><li>Participate in floor audits with Finance and resolve Work-in-Progress (WIP) issues.</li><li>Attend production meetings and provide updates on material shortages and committed delivery dates.</li><li>Collaborate with engineering teams to manage materials for special engineering projects.</li><li>Support work centers with shop floor control activities as needed.</li><li>Analyze inventory usage and stock levels to maintain target inventory and meet service level requirements.</li><li>Expedite material shortages and forecast spare parts requirements where applicable.</li><li>Investigate material variances, resolve operational issues, and escalate complex problems to management.</li><li>Support the implementation or enhancement of inventory management systems and assign expediting activities where required.</li><li>Manage obsolete inventory and recommend disposition strategies.</li><li>Participate in process improvement initiatives by identifying root causes through PCI reporting and driving corrective actions.</li><li>Support cycle counting activities to maintain inventory accuracy.</li><li>Perform data analysis, forecasting, and ad hoc statistical analysis using structured and unstructured data sources.</li><li>Develop dashboards and visualizations using Tableau to support business decision-making.</li><li>Work closely with business stakeholders to gather requirements and translate data into actionable insights using Python, SQL, or equivalent analytical tools.</li><li>Serve as a subject matter expert on project teams for data consolidation, reporting, and process improvement initiatives.</li></ul> Requirements: <ul><li>Experience: 3–7 years.</li><li>Role Level: B2/B3 Individual Contributor (IC).</li><li>Strong English communication is essential. </li><li>Candidates must demonstrate ability to communicate effectively with multiple stakeholders.&nbsp;</li></ul>

Responsibilities: <ul><li>Supervise the general accounting of the business unit, providing leadership, mentorship to colleagues, and fostering a collaborative work environment to drive performance and professional development.</li><li>Oversee daily financial data entry in the ERP system, ensuring accuracy and completeness.&nbsp;</li><li>Prepare and post journal entries and manage general ledger account reconciliations to maintain financial integrity.</li><li>Lead the monthly, quarterly, and annual closing processes, ensuring all financial activities are accurately captured. Prepare detailed financial data for management review and facilitate necessary adjustments.</li><li>Analyze balance sheet and income statement accounts, providing insightful variance analysis and reports that deliver actionable insights for informed decision-making.</li><li>Review and present financial reports to ensure compliance with accounting standards and local regulations. Collaborate with cross-functional teams to integrate financial data and streamline reporting processes.</li><li>Contribute to the development and implementation of policies and procedures for the general accounting function, ensuring alignment with the company’s financial goals and risk management strategies.</li><li>Develop ad-hoc reports and support special projects, such as financial data analysis and process improvements.</li><li>Lead the annual budgeting of SGA and COS departments costs and help providing insightful data for an accurate forecast.</li><li>Provide support on Annual Statutory Audit of the financial statements, as well as support for tax and transfer price documentation.</li></ul> Requirements: <ul><li>Bachelor’s degree in finance, accounting, Business Administration or a related field</li><li>4 - 7 years of relevant experience with general accounting.</li><li>Strong analytical skills with the ability to interpret financial data and generate reports.</li><li>Excellent attention to detail and ability to work under tight deadlines</li><li>Proficiency with Microsoft Office Suite</li><li>Familiarity with financial software and Oracle, Hyperion</li><li>Solid regional accounting knowledge (i.e., US GAAP and IFRS)</li><li>Fluency in English both spoken and written, is required.</li><li>Preferred qualifications and experience:</li><li>Master’s degree in a relevant field or Chartered Accountant designation</li></ul>

Responsibilities: <ul><li>Data Analysis: Collects, transforms, and analyzes data from multiple sources to identify trends, patterns, anomalies, and actionable insights that support reporting, performance tracking, and decision making.</li><li>Reporting &amp; Visualization: Implements detailed reports and dashboards using various tools, designs and completes data visualizations to communicate moderately complex data clearly.</li><li>Data Modeling &amp; Automation: Supports data models, reporting logic, and workflow automation, while identifying and implementing opportunities to improve data collection and reporting processes using standard data management and reporting practices.</li><li>Advanced Analytics Awareness: Familiarity with predictive analytics, AI/ML, and data science concepts to support evolving analytics solutions.</li><li>Data Quality &amp; Requirement Support: Validates data, supports reporting requirements, and helps ensure the accuracy and consistency of analytics solutions.</li></ul> Requirements: <ul><li>Bachelor’s degree in a related field such as Data Science, Statistics, Computer Science, Business Analytics, or a related discipline, or equivalent practical experience.&nbsp;</li><li>Minimum of 3-4 years of relevant work experience in data analytics, reporting, or business intelligence roles.</li><li>Strong skills in analyzing data and translating reporting needs into effective analytics solutions and insights.</li><li>Very strong skills in Power BI and data visualization.</li><li>Proficiency in SQL, Excel, Power Query, and related tools such as VBA or Python for analysis, modelling, and visualization.</li><li>Working knowledge of data warehousing, data lakes, and cloud data platforms such as Snowflake or AWS.</li><li>Experience automating workflows and building low-code solutions using Power Platform tools such as Power Automate and Power Apps.</li><li>Familiarity with (predictive) analytics, AI/ML and data science.</li><li>Business understanding and financial acumen to interpret data and generate practical insights.</li><li>Comfortable working in agile ways of working, managing multiple priorities, and contributing effectively both independently and in a team environment.</li></ul>

Responsibilities: <ul><li>Act as a Subject Matter Expert (SME) for electrical systems across global facilities.</li><li>Develop and govern global engineering standards, specifications, and BKMs.</li><li>Lead design reviews, ensuring alignment with global requirements and best practices.</li><li>Drive improvements in system reliability, cost efficiency, and maintainability.</li><li>Support large-scale design and construction projects globally.</li><li>Conduct system studies, capacity analysis, and performance evaluations.</li><li>Collaborate with cross-functional stakeholders to align engineering solutions.</li></ul> Requirements: <ul><li>Bachelor’s Degree in Electrical Engineering or equivalent.</li><li>10–13 years of relevant experience in semiconductor or industrial facilities.</li><li>Strong expertise in electrical distribution systems (HV/MV/LV).</li><li>Experience with critical systems (UPS, generators, sag mitigation).</li><li>Proficiency in system modeling, analysis, and reliability engineering.</li><li>Experience in design review and construction project support.</li></ul>

Responsibilities: <ul><li>Act as a Subject Matter Expert (SME) for electrical systems across global facilities.</li><li>Develop and govern global engineering standards, specifications, and BKMs.</li><li>Lead design reviews, ensuring alignment with global requirements and best practices.</li><li>Drive improvements in system reliability, cost efficiency, and maintainability.</li><li>Support large-scale design and construction projects globally.</li><li>Conduct system studies, capacity analysis, and performance evaluations.</li><li>Collaborate with cross-functional stakeholders to align engineering solutions.</li></ul> Other Responsibilities: <ul><li>Lead root cause analysis for major system issues.</li><li>Mentor junior engineers and guide technical development.</li><li>Support sustainability and energy optimization initiatives.</li></ul> AI Responsibilities <ul><li>Leverage AI tools to enhance data analysis, predictive maintenance, and engineering insights.</li><li>Promote adoption of AI-enabled solutions within engineering workflows.</li></ul> Requirements: Minimum Required Qualifications/Experience: <ul><li>Bachelor’s Degree in Electrical Engineering or equivalent.</li><li>10–13 years of relevant experience in semiconductor or industrial facilities.</li></ul> Must Have Technical Skills: <ul><li>Strong expertise in electrical distribution systems (HV/MV/LV).</li><li>Experience with critical systems (UPS, generators, sag mitigation).</li><li>Proficiency in system modeling, analysis, and reliability engineering.</li><li>Experience in design review and construction project support.</li></ul> Must Have Soft Skills: <ul><li>Strong leadership and influencing skills.</li><li>Excellent communication and stakeholder management.</li><li>Ability to prioritize and drive multiple initiatives concurrently.</li><li>Strategic problem-solving capability.</li><li>AI Requirements</li><li>Ability to leverage AI tools for engineering analysis, operational improvements, and reporting.</li><li>Highly Desirable / Preferred</li><li>Experience leading regional/global engineering initiatives.</li><li>Knowledge of sustainability programs and green infrastructure.</li><li>Professional Engineer (PE) certification or equivalent.</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>

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>Review KYC files for subscribers, agents, merchants, and corporate partners.</li><li>Verify identification documents, TINs, and onboarding documentation for completeness and accuracy.</li><li>Escalate missing or inconsistent documentation to the Group Compliance Manager.</li><li>Assist in reviewing daily, weekly, and monthly monitoring reports.</li><li>Identify unusual or suspicious patterns based on defined red flags from Group and local management.</li><li>Document findings and escalate cases accordingly.</li><li>Support the preparation of CTRs and STRs in the required regulatory formats.</li><li>Maintain logs of alerts, escalations, and submitted reports.</li><li>Assist in gathering data and evidence for investigations of suspicious activities.</li><li>Ensure strict confidentiality when handling customer or agent information.</li><li>Support responses to requests from the Central Bank, FIU, or auditors.</li><li>Maintain proper filing of regulatory correspondence.</li><li>Participate in AML/CFT and KYC training sessions.</li><li>Promote compliance awareness among partners and staff under supervision.</li><li>Work closely with the Group AML team.</li><li>Share local findings and escalate emerging risks promptly.</li></ul> Requirements: <ul><li>Master degree in Law, Finance, Business Administration, Accounting, Audit or a related field.</li><li>Minimum of 4 years’ experience in compliance role in banking, fintech, mobile money, or a related field</li><li>Strong analytical and problem-solving skills.</li><li>High ethical standards, integrity, and attention to detail.</li><li>Proficiency in English and French (written and spoken).</li><li>Good working knowledge of MS Excel Power point and reporting tools.</li><li>CAMS or ACFCS certifications are considered an advantage.</li><li>Integrity and confidentiality.</li><li>Ability to identify and escalate risks effectively.</li><li>Strong teamwork and collaboration skills.</li><li>Organized, disciplined, and able to meet deadlines.</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>

Skills

Industry

Location

Jobtitle

46 modeling and simulation Jobs found

Product Specialist – Implements

Planning and Control Planner

Financial Reporting and Accounting Lead

Consultant, Data Analytics & Reporting-Food

Staff Electrical Engineer (Global Facilities Engineering)

Staff Engineer, Electrical – Global Facilities Engineering

Strategic Business Development Lead

Forward Deployed AI Strategist

AML and Compliance Manager

Sales Operation Analyst

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

EMPLOYER

TALENT

COMPANY

Contact Us

JOBS BY SKILLS

JOBS BY FUNCTION

JOBS BY INDUSTRY

JOBS BY LOCATIONS

MODEL JOBS

JOBS BY CITY

Skills

Industry

Location

Jobtitle

46 modeling and simulation Jobs found

Product Specialist – Implements

Planning and Control Planner

Financial Reporting and Accounting Lead

Consultant, Data Analytics & Reporting-Food

Staff Electrical Engineer (Global Facilities Engineering)

Staff Engineer, Electrical – Global Facilities Engineering

Strategic Business Development Lead

Forward Deployed AI Strategist

AML and Compliance Manager

Sales Operation Analyst

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

EMPLOYER

TALENT

COMPANY

Contact Us

JOBS BY SKILLS

JOBS BY FUNCTION

JOBS BY INDUSTRY

JOBS BY LOCATIONS

MODEL JOBS

JOBS BY CITY

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