Front End Central Product Integration (FE CPIE) MTS (FE)

MTS – FECOS CPIE Device

VP, Senior Data Engineering Manager

Manager I - R&D Product Development Engineering

Supply Chain Analyst

AI Transformation Engineer

AI Analytics and Visualization Engineer

Sales Manager

Machine Learning Engineer Lead

Responsibilities: <ul><li>Lead process integration (PI) structural uniformity and cross loop integration for critical modules (e.g., capacitance loop), owning end to end integration strategies to resolve yield, quality, and reliability gaps. </li><li>Drive physics&nbsp;and process based integration solutions through close collaboration with cross module process owners, PI subject matter experts, and key suppliers to optimise integration structures and achieve BIC yield and quality targets.</li><li>Develop and apply model based root cause analysis frameworks (transport, reaction kinetics, pattern density, and geometry dependent effects) to diagnose structural non uniformity. Define, implement, and continuously strengthen critical inline monitoring and defence lines (CD, film loss, mass delta, defectivity, edge/periphery metrics) to ensure robust control of structural uniformity.</li><li>Own and advance product integration programs and loop level domain expertise, maintaining deep technical knowledge across node transitions. </li><li>Proactively drive node over node “shift left” integration, including early implementation of uniformity, bevel, and backside best known methods (BKMs) during development phases to accelerate whole wafer (centre-to-edge) yield and quality ramp.</li><li>Drive worldwide technical alignment and execution excellence by leading global projects, standardizing and leveraging network BKMs, and scaling proven solutions across sites. Identify efficiency and performance gaps, and lead business process creation, optimization, and re engineering to improve benchmark performance, cycle time, and development productivity.</li><li>Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgment and complying with organizational standards and legal requirements.</li></ul> Requirements: <ul><li>Bachelors/Masters/PhD. in EE, Materials Engineering, Materials Science, Physics and Chemical but optional if candidates have more than 10 years experience in process related role in the semiconductor industry.</li><li>With more than 7 years of relevant industry experience/knowledges.</li><li>Good logical thinking and knowledge in Semiconductor Fabrication process flows, interaction of different processes and how changes affect yield, device performance and reliability. Understanding of DRAM and NAND operation and structure to decipher parametric, probe and qual data from both front-end and backend assembly processes.</li><li>Good model-based problem solving, together with data-driven decision making, and presentation skills. Proven ability to troubleshoot and solve structure and device-related issues, and address root cause.</li><li>Good organizational capabilities and ability to work effectively. Ability to be flexible with job responsibilities and take the initiative to assume added responsibilities. Travel to company sites as necessary for face-to-face collaboration.</li><li>Strong interpersonal skills and customer/co-worker relationships. Successfully demonstrated teamwork skills with a strong focus on developing good team dynamics.</li><li>Good multi-tasking, verbal and written communication skills.</li><li>Ability to apply baseline digital fluency and role appropriate AI literacy to use AI enabled tools responsibly and effectively for research, analysis, content creation, problem solving, operational tasks, and achieving business outcomes</li></ul>

Responsibilities: <ul><li>Enable technology ramp in high-volume production for CMOS and memory devices.</li><li>Improve device performance with a focus on variability reduction and robustness.</li><li>Support and execute design and test optimization to enhance manufacturability and performance.</li><li>Identify and implement process simplification and working methodology improvements.</li><li>Lead or actively contribute to cross-functional problem-solving for device, yield, and quality issues.</li></ul> Requirements: <ul><li>Minimum 5 years of relevant working experience is requiredA masters or Ph.Ddegree in Physics or Engineering areas is preferred.</li><li>Working experience in wafer fab process or process integration engineeringDirect experience in advanced CMOS device technology such as FinFET or GAA is preferable.</li><li>Proven knowledge in semiconductor physics and understanding of transistor operations, scaling limitations and reliability, basic knowledge of CMOS circuits and characterisation methods.</li><li>Understanding of wafer fabrication process areas, including tool sets, process mechanisms, tuning knobs, etc.</li><li>Excellent data analysis skills using software (JMP, SPOTFIRE, etc).</li><li>Strong task ownership, self-motivated to work with other team members to make progress collaboratively.</li><li>Open-minded attitude to learn new skills and could adapt to a new working environment swiftly.</li><li>Good digital literacy with MS OfficeProgramming capability such as Python is a plus.</li><li>Occasional international business travel is required for this position.</li></ul>

Responsibilities: <ul><li>Provide vision, leadership, and strategic direction for data engineers to deliver modern, high-quality data pipelines, models, and products, while fostering</li><li>innovation and new approaches to solving enterprise technical challenges.</li><li>Lead cloud data transformation and migration initiatives, helping define target-state cloud data engineering standards while ensuring solutions are resilient, scalable, high-performing, cost-optimized, and secure.</li><li>Drive data engineering excellence through AI adoption, automation, reusable frameworks, pipeline standardization, testing automation, and continuous</li><li>improvement to reduce complexity, increase consistency, and accelerate delivery.</li><li>Establish and advance best practices for data ingestion, transformation, standardization, productization, data quality, metadata management, lineage,</li><li>observability, orchestration, automated deployment, data protection, and secure data consumption.</li><li>Oversee the development of best-in-class data models and testing practices that are aligned to business objectives and enable trusted, consistent, secure, and easily usable data across the enterprise.</li><li>Partner with company leaders, the Data Office, Supervisory Affairs, Risk &amp; Compliance, other process owners, and other Technology and Business</li><li>stakeholders to ensure strategic data solutions sufficiently mitigate risk, strengthen controls, and respond to regulatory expectations.</li><li>Champion agile delivery with the Office of Agile and cross-functional teams using SAFe methods, managing execution across multiple priorities, projects, and release trains while proactively addressing dependencies, risks, and issues.</li><li>Develop, coach, and retain a high-performing team through skill development, career growth, inclusive leadership, succession planning, and ongoing focus on</li><li>team effectiveness.</li><li>Perform other duties and/or special projects as assigned.</li></ul> Requirements: <ul><li>Bachelors Degree and a minimum of 12 years of IT experience, OR in lieu of a Degree minimum of 14 years of experience in an IT environment</li><li>Minimum of 5 years of data engineering experience leveraging public cloud capabilities.</li><li>Minimum of 7 years of experience in a large complex organization</li><li>Minimum of 9 years of Demonstrated experience leading data engineering delivery for enterprise-scale data platforms, pipelines, data models, or analytic products.</li><li>Ability to communicate complex technical concepts clearly to business, technology, risk, and executive stakeholders</li></ul>

Role Description: <ul><li>Automotive Industry offers products for vehicle electrification systems like chassis systems, convenience applications, driver information, infotainment solutions, miniaturization solutions, motor and powertrain applications etc.&nbsp;</li><li>The client Automotive BU is focused on developing new and improved vehicle architecture approaches to efficiently address these challenges in Connectivity from power to propulsion and safety.&nbsp;</li><li>The Manager R&amp;D Product development contributes to the development of organizational strategy and supports in implementation of operational plans.</li><li>Being part of Product development team responsible to develop for new products and sustenance of existing product lines of Automotive business unit of client.</li><li>This position drives development of PCB connectors for automotive applications including Board to Board, Wire to Board and Flex to Board connectors.</li></ul> Responsibilities: <ul><li>Managing experienced professional and/or supervisors who exercise independence in their assignments and providing them with the required guidance and also be a strong technical contributor.</li><li>Providing strategic leadership to foster growth of the business.</li><li>Interacting and cooperating with multiple organizational levels to meet schedule and technical expectations.</li><li>Administrating schedules and ensuring performance requirements.</li><li>Providing knowledge of engineering tools such as Creo, etc. and product domain expertise in multiple projects.</li><li>Assist Inside Device Connectivity (InDeCo) engineering teams with New Product Developments across a range of projects and executing on cost optimization/reduction (VA/VE) opportunities for the business.</li><li>Preparing design verification test plans, Design &amp; Process FMEAs.</li><li>Successfully facilitate transfer and support of new product introduction (NPI) into high volume manufacturing.</li><li>Contributing to technical function initiatives across various initiatives.</li><li>Reverse Engineering and benchmarking of competitor products.</li><li>Support product environmental compliance and approvals for all new products and platforms as required by our customers.</li><li>Be a strong technical partner and provide support to Product management teams.</li><li>Attend/support customer meetings, technology days and site visits as required.</li></ul> Requirements: <ul><li>Master’s degree in mechanical engineering or equivalent is preferred with minimum 8 years of experience in related fields.</li><li>Mechanical or equivalent engineering Degree with minimum 10 years of related product development experience.&nbsp;</li><li>Experience with product design of PCB Connector such as Board to Board, Flex to Board, Wire to Board is essential.</li><li>Knowledge in product design of plastic, terminals (sheet metal), fine pitch connectors, rubber components.</li><li>Working knowledge of driving diversity and inclusion, customer/market focus, result orientation, managing multiple priorities, envisioning the future, coaching and developing people and collaborating across boundaries</li><li>Extensive experience executing plans in a disciplined way and in holding people accountable.</li><li>Organized, methodical and self-motivated individual.</li><li>A person with the ability to achieve goals and the highest standards of performance in a dynamic fast paced environment.</li><li>Attention to detail and on time delivery.</li><li>Excellent judgment, timely and high-quality decision-making skills.</li><li>Proven ability to execute engineering deliverables.</li><li>Strong customer service mindset and mentality of delivering quality products and services on time and within company cost and profitability objectives.</li><li>Fluent communication skills facilitate collaboration with own team, customers, internal business leaders and technology leaders to create value.</li><li>Individual must be self-motivated, have strong planning skills and be able to deal with and balance multiple competing priorities.</li></ul> Functional: Mandatory: <ul><li>Working knowledge of product development (Processes, Approaches, Tools and Techniques) &amp; Validation</li><li>Working knowledge of manufacturing processes like injection Mold, plating, assembly &amp; High-speed stamping</li><li>Working knowledge to apply Six Sigma / DFSS methodology to design, development, and delivery of technology products and process.</li><li>Working knowledge in use of CAD systems (CREO Part modeling &amp; Sheet Metal)</li><li>Interpretation of simulation results &amp; translating into product design</li><li>Working knowledge in Design for Manufacturability (DFM) &amp; FMEA&nbsp;</li><li>Proficient in Tolerance stack-up and GD&amp;T</li><li>Ability to generate design concepts and solve design problems&nbsp;</li><li>Working knowledge in prototyping methods</li><li>Working knowledge in Manufacturing process (Molding / Stamping / Plating)</li><li>Understanding of linear and non-linear analysis</li><li>Working knowledge of product life cycle.</li><li>Basic Knowledge in quality tools (8D, Why Why analysis, Fish bone….)</li><li>Awareness of recognition &amp; protection of IP (intellectual property) features</li><li>Basic knowledge of PPAP documentation.</li></ul> Preferred: <ul><li>Knowledge of customer application&nbsp;</li><li>Experience in development of automotive signal and power connectors.</li></ul> Department specific: <ul><li>Exposure to PCB Connector design</li><li>Ability to understand specifications for validation as per US CAR / LV 214 / Similar Specification</li><li>Knowledge about crimping technologies, Ultrasonic welding technologies, Laser welding technologies</li></ul>

Roe Description: <ul><li>Transportation Solutions BU makes products for Connecting and Sensing Data, Power and Signal for vehicles ranging from Two wheelers to Heavy Commercial trucks.</li><li>There is a clear business strategy till 2025 to support the business growth. The growth is driven mainly driven from localization of Core India Specific products and also New technology products.</li><li>To establish “Single source of Truth” by integrating and maintaining all Key performance metrics of SCM/CS LIVE through Tableau/Power BI</li><li>To define the Capacity/Demand ratio for each part at each source location and make a trigger mechanism for new capacity&nbsp;</li><li>To optimize the supply network by exploring opportunities to increase sea vs Air movement from Source country to India Warehouse and exploring clubbing opportunities at Source.&nbsp;</li><li>Need to closely work with SCM team and Global Logistics team for integrated results.</li><li>To continuously monitor the ageing stock (SCM) and ageing orders (CS)</li></ul> Responsibilities: Capacity/Demand ratio: <ul><li>Establish the C/D ratio of each part in each source plant and work with Planner for getting enhanced capacity as per demand.</li><li>Also work with Demand team and Sales &amp; Marketing to get validated 24 months forecast</li></ul> Supply Network Optimization: <ul><li>To optimize the supply network by exploring opportunities to increase sea vs Air movement from Source country to India Warehouse and also exploring clubbing opportunities at Source.&nbsp;</li><li>Need to closely work with SCM team and Global Logistics team for integrated results.</li></ul> Monitor ageing stock and orders: <ul><li>To continuously monitor the ageing stock (SCM) and ageing orders (CS) and work with CS/SCM/sales &amp; marketing to liquidate those stocks/orders.</li></ul> Analytics: <ul><li>Work with application and product marketing and managing alternate part master.</li></ul> Requirements:&nbsp; <ul><li>MBA in Supply Chain&nbsp;</li><li>Expertise in Excel</li><li>Understanding of Tableau/Power BI</li><li>Understanding in SAP IBP</li><li>2 to 5 years of experience Handling large scale transformational SCM projects like SAP IBP/APO.</li><li>Extensive exposure to Excel/Macros.</li><li>Experience in Plant production planning.</li><li>SAP IBP - Conduct the IBP execution starting from demand review, supply review and integrated reconciliation</li><li>Strategic agility - Long Term capacity planning.</li><li>Supply network planning - Supply Network optimization by choosing the right network (Factory - SKU’s – Depot) based on the minimum total delivered cost (Freight Cost, Conversion Cost, Raw material cost and Tax benefit).</li><li>Frequency from factory to warehouse).</li><li>Ability to understand customer requirements.</li><li>Stakeholder alignment - Developing relationships and partnerships with key customers, industry leaders and core suppliers.</li></ul>

Role Description: <ul><li>The AI Transformation Engineer is responsible for identifying, evaluating, and deploying AI-enabled solutions that improve engineering productivity, accelerate development activities, and enhance decision-making across ICT Engineering.</li><li>The role serves as the bridge between engineering teams, AI technical specialists, and business stakeholders to ensure AI opportunities are translated into measurable business outcomes. This position leads the implementation lifecycle of approved AI initiatives, from opportunity assessment through deployment and value realization.</li><li>The role focuses primarily on engineering workflows, knowledge work, and business processes where AI can eliminate non-value-added activities, improve engineering effectiveness, and reduce time-to-market.</li></ul> Responsibilities: ﻿Opportunity Identification &amp; Assessment <ul><li>Partner with engineering teams to identify productivity challenges, workflow inefficiencies, and opportunities for AI-enabled improvement.</li><li>Analyze current-state engineering processes and determine the potential value of AI solutions.</li><li>Gather business requirements and define desired outcomes.</li><li>Partner with AI technical specialists to assess technical feasibility and solution options.</li><li>Work with the AI Value Realization Engineer to establish baseline measurements, value estimates, success criteria, and evidence requirements.</li><li>Provide use-case requirements, value assumptions, and implementation estimates to support prioritization and business-case development.</li><li>Determine whether identified opportunities are best addressed through AI, conventional automation, process improvement, or a combination of approaches.</li></ul> Solution Delivery &amp; Deployment <ul><li>Lead execution of approved AI initiatives from pilot through full deployment.</li><li>Coordinate stakeholders across engineering, digital technology, AI development teams, and subject matter experts.</li><li>Manage pilots, validation activities, user testing, and deployment readiness.</li><li>Drive user adoption and organizational change management activities.</li><li>Ensure solutions deliver expected business outcomes and user value.</li><li>Rapidly prototype and evaluate AI-enabled workflows using available enterprise AI platforms, low-code/no-code tools, and workflow automation technologies.</li></ul> Value Realization <ul><li>Own achievement of approved project objectives and targeted business benefits.</li><li>Monitor adoption, usage, and performance of deployed solutions.</li><li>Identify and resolve barriers to implementation success.</li><li>Partner with the AI Value Realization Engineer to validate benefits and track realized value.</li></ul> Requirements: Experience &amp; Qualifications <ul><li>Bachelors degree in Engineering or related technical discipline.</li><li>5+ years of engineering, product development, manufacturing engineering, or related experience.</li><li>Strong understanding of engineering workflows and development processes.</li><li>Experience leading cross-functional projects and driving organizational change.</li><li>Ability to translate business challenges into actionable improvement opportunities.</li><li>Strong communication, facilitation, and stakeholder management skills.</li><li>Demonstrated passion for AI and digital transformation.</li><li>Practical experience applying AI, automation, or digital technologies to engineering or business problems; experience with generative AI, LLMs, AI agents, or workflow automation preferred.</li><li>Experience rapidly prototyping and evaluating AI-enabled workflows using enterprise AI platforms, low-code/no-code tools, or workflow automation technologies.</li><li>Working understanding of LLM capabilities and limitations, including common failure modes, validation approaches, and human-in-the-loop considerations.</li></ul>

Role Description: <ul><li>The AI Analytics &amp; Value Realization Engineer is responsible for ensuring AI initiatives deliver measurable business value across ICT Engineering.</li><li>The role establishes value measurement frameworks, validates benefits, develops performance dashboards, and enables data-driven decision making across the AI portfolio. This position serves as the primary subject-matter expert for AI adoption measurement, business impact reporting, value realization tracking, and portfolio analytics</li></ul> Responsibilities: Value Definition &amp; Business Case Support <ul><li>Partner with AI Transformation Engineers during opportunity assessments.</li><li>Establish baseline metrics, value hypotheses, and expected business outcomes.</li><li>Define standardized measurement methodologies and evidence requirements for AI initiatives, distinguishing between forecast, validated, realized, and sustained business value.</li><li>Develop approaches for measuring engineering productivity and operational benefits, including time savings, cycle-time reduction, quality improvement, throughput, and adoption where direct financial measurement is not feasible.</li><li>Challenge assumptions and ensure value estimates are fact-based and measurable.</li></ul> Portfolio Measurement &amp; Reporting <ul><li>Develop and maintain AI portfolio dashboards and KPI reporting.</li><li>Track solution adoption, utilization, and business impact.</li><li>Collect and analyze deployment performance data.</li><li>Ensure consistent reporting across all AI initiatives.</li><li>Generate monthly reporting for ICT Engineering leadership, ICT AI leadership, and segment AI leadership.</li></ul> Value Realization &amp; Validation <ul><li>Validate achievement of project objectives and business benefits.</li><li>Monitor sustainability of realized benefits after deployment.</li><li>Identify underperforming initiatives and recommend corrective actions.</li><li>Support prioritization decisions using objective performance and value data.</li><li>Develop standardized value realization methodologies and reporting processes.</li><li>Design measurement approaches that compare pre- and post-deployment performance and provide credible evidence that observed improvements are attributable to deployed solutions.</li></ul> Advanced Analytics <ul><li>Perform portfolio analytics and trend analysis.</li><li>Support executive decision-making with actionable insights.</li><li>Maintain data quality and governance standards for AI program reporting.</li><li>Build Power BI dashboards and reporting solutions.</li></ul> Requirements: Experience &amp; Qualifications <ul><li>Bachelors degree in Engineering, Data Analytics, Business Analytics, Statistics, or related field.</li><li>Experience with analytics and visualization tools such as Power BI, including dashboard development, KPI reporting, and data analysis.</li><li>Strong analytical and quantitative problem-solving skills.</li><li>Experience developing and maintaining business metrics and measurement frameworks.</li><li>Experience establishing performance baselines and designing measurement approaches to evaluate the impact of implemented solutions.</li><li>Ability to translate complex data into actionable business insights.</li><li>Knowledge of engineering, technology, or transformation programs preferred.</li><li>Strong communication and executive presentation skills.</li></ul>

Role Description: <ul><li>We are seeking an experienced Sales Manager to drive profitable sales growth across Brazil for a global specialist manufacturer of technical solutions serving the tobacco and related industries.</li><li>The role combines new business development, key account management, market development and strategic sales planning.</li><li>The successful candidate will be expected t identify white-space opportunities, establish relationships with new customers, develop existing accounts and build a sustainable commercial pipeline.</li><li>This is a highly autonomous commercial role requiring someone who can operate confidently in a technical B2B environment, build credibility with customers and translate market intelligence into revenue opportunities.</li></ul> Responsibilities: Sales &amp; Business Development <ul><li>Develop profitable sales growth across Brazil.</li><li>Identify and develop new business opportunities.</li><li>Prospect and target priority customers and markets.</li><li>Establish relationships with prospects and convert opportunities into orders.</li><li>Manage the full sales cycle from initial enquiry through qualification, negotiation and order completion.</li><li>Develop and maintain strong relationships with key accounts.</li><li>Identify opportunities to increase revenue, profitability and customer lifetime value.</li><li>Identify opportunities for new products and solutions.</li></ul> Market Development <ul><li>Develop and implement the regional sales plan.</li><li>Identify underpenetrated markets, customer segments and white-space opportunities.</li><li>Conduct market segmentation and customer prioritisation.</li><li>Monitor market trends, competitor activity and pricing.</li><li>Develop customer and market intelligence to support commercial decision-making.</li><li>Identify opportunities to improve profitability, service and market penetration.</li><li>Work with internal teams to develop appropriate customer propositions.</li></ul> Key Account Management <ul><li>Develop and execute account strategies for key customers.</li><li>Engage with customers across relevant commercial and functional levels.</li><li>Coordinate with regional and global account teams.</li><li>Identify additional opportunities within existing customers.</li><li>Develop customer relationship and contact plans.</li><li>Monitor account performance against agreed plans and targets.</li><li>Coordinate internal resources to support customer requirements.</li></ul> Sales Performance &amp; Forecasting <ul><li>Manage the sales pipeline and opportunity tracker.</li><li>Maintain accurate sales forecasts and monthly reporting.</li><li>Track sales and profitability against budget and prior-year performance.</li><li>Monitor opportunity conversion and pipeline development.</li><li>Identify underperformance and implement corrective actions.</li><li>Work closely with customers and internal teams on demand forecasting.</li><li>Maintain accurate customer and opportunity information within CRM systems.</li></ul> Cross-Functional Collaboration <ul><li>Work closely with supply chain, customer service, technical and other internal teams.</li><li>Coordinate customer requirements through the relevant internal support functions.</li><li>Share market and customer knowledge with regional colleagues.</li><li>Support regional and global sales initiatives.</li></ul> Requirements: Essential Experience <ul><li>Bachelors degree, preferably in Business, Marketing, Finance or a related discipline.</li><li>Approximately 8–10 years of relevant B2B account management / technical sales experience.</li><li>Proven experience in a technical, solution-based or industrial B2B sales environment.</li><li>Demonstrated record of new business development and revenue growth.</li><li>Experience managing complex customer relationships and sales processes.</li><li>Strong understanding of sales, supply chain and customer-service processes.</li><li>Willingness to travel frequently internationally.</li></ul> Preferred Industry Experience Experience in one or more of the following would be particularly relevant: <ul><li>Tobacco / nicotine</li><li>Cigarette manufacturing</li><li>Tobacco-related materials</li><li>Filters</li><li>Packaging</li><li>Paper / specialty paper</li><li>Industrial components</li><li>Machinery / equipment</li><li>Other technical B2B industries</li><li>Skills &amp; Attributes</li><li>Strong commercial and analytical capability.</li><li>Excellent presentation and communication skills.</li><li>Strong relationship-building and influencing ability.</li><li>Self-motivated and entrepreneurial.</li><li>Comfortable developing new markets and customers.</li><li>Strong attention to detail and prioritisation skills.</li><li>Ability to manage multiple opportunities simultaneously.</li><li>Strategic and creative approach to business development.</li><li>Comfortable operating with limited market data and using customer/market intelligence to identify opportunities.</li><li>Strong customer orientation and commercial judgement.</li></ul> Languages: <ul><li>Fluent Portuguese and English required.</li><li>Spanish is an advantage.</li></ul>

Role Description: <ul><li>We are seeking an experienced Sales Manager to develop profitable sales growth across Argentina and priority Latin American markets for a global specialist manufacturer of technical solutions serving the tobacco and related industries.</li><li>The role has a strong market-development and white-space mandate.</li><li>The successful candidate will be expected to leverage an existing Latin American commercial network, identify priority customers and stakeholders, create new market access and develop sustainable revenue opportunities.</li><li>The ideal candidate will have strong credibility within tobacco, nicotine or adjacent regulated/industrial sectors, combined with the ability to operate independently in relationship-driven markets.</li></ul> Responsibilities: Regional Sales &amp; Business Development <ul><li>Develop profitable sales growth across Argentina and priority LATAM markets.</li><li>Identify and penetrate white-space markets where the organisation has limited or no presence.</li><li>Develop country-by-country access strategies for priority customers and decision-makers.</li><li>Generate new business and manage the full sales process.</li><li>Develop relationships with customers, prospects and key industry stakeholders.</li><li>Identify opportunities to increase revenue and profitability.</li><li>Provide market intelligence on customers, prospects, competitors and pricing.</li><li>Participate in key customer meetings with regional sales leadership.</li></ul> Market Development <ul><li>Identify priority countries, customer segments and market opportunities.</li><li>Build and maintain a regional stakeholder map.</li><li>Develop relationships across:</li><li>Tobacco manufacturers</li><li>Nicotine companies</li><li>Packaging companies</li><li>Paper suppliers</li><li>Machinery/equipment companies</li><li>Distributors and agents</li><li>Other relevant industrial stakeholders</li><li>Analyse market trends and competitor activity.</li><li>Translate informal market intelligence into commercial strategies.</li><li>Identify appropriate channels and routes to market.</li><li>Develop market segmentation and customer-prioritisation strategies.</li></ul> Key Account Development <ul><li>Develop relationships with priority customers at multiple organisational levels.</li><li>Identify new opportunities within existing accounts.</li><li>Build customer account strategies and action plans.</li><li>Coordinate with regional and global sales teams.</li><li>Develop sustainable customer growth.</li><li>Maintain structured customer-contact plans.</li><li>Identify cross-functional resources required to support customers.</li></ul> Pipeline &amp; Performance Management <ul><li>Build and manage a robust sales pipeline.</li><li>Track opportunity development, conversion and white-space penetration.</li><li>Maintain accurate forecasting and monthly performance reporting.</li><li>Monitor sales and profitability against budget and plan.</li><li>Identify root causes of underperformance by country, account, channel, pricing, supply or competition.</li><li>Develop and implement corrective actions.</li><li>Maintain accurate CRM and opportunity information.</li></ul> Requirements: Essential Experience <ul><li>Bachelors degree, preferably in Business, Engineering, Marketing or a related discipline.</li><li>Approximately 10 years of industrial B2B technical sales experience.</li><li>Existing commercial network across Latin America.</li><li>Proven new business development and account-management experience.</li><li>Demonstrated ability to operate in complex, relationship-driven markets.</li><li>Experience developing new markets or underpenetrated customer segments.</li><li>Strong understanding of sales, supply chain and customer-service processes.</li><li>Willingness to travel frequently.</li></ul> Relevant Industry Background Candidates may come from: <ul><li>Tobacco / nicotine</li><li>Cigarette manufacturing</li><li>Tobacco leaf</li><li>Filters</li><li>Cigarette paper / tipping paper / plug wrap</li><li>Packaging</li><li>Paper</li><li>Machinery and equipment</li><li>Industrial components</li><li>Distribution / agency</li><li>Trade marketing</li><li>Other regulated or technical B2B industries</li></ul> Skills &amp; Attributes <ul><li>Strong existing customer and stakeholder network.</li><li>Strong relationship-building and influencing capability.</li><li>Analytical and commercially minded.</li><li>Excellent presentation and communication skills.</li><li>Self-motivated and entrepreneurial.</li><li>Strong hunter mentality and persistence.</li><li>Comfortable creating opportunities in markets with limited existing presence.</li><li>Able to operate independently with limited market data.</li><li>Strong strategic thinking and commercial judgement.</li><li>Excellent prioritisation and organisation skills.</li><li>Languages</li><li>Fluent English and Spanish required.</li><li>Portuguese is a strong advantage.</li></ul>

﻿Responsibilities: &nbsp;<ul><li>Lead, mentor, and grow a team of 4-5 ML engineers.</li><li>Provide architectural direction and code-level guidance.</li><li>Establish engineering best practices for ML system design, testing, and deployment.</li><li>Conduct design reviews, performance reviews, and technical roadmap planning.</li><li>Architect distributed ML systems serving multiple global products.</li><li>Standardize infrastructure patterns for LLM serving and retrieval systems.</li><li>Define and implement enterprise-ready agentic frameworks.</li><li>Architect multi-step reasoning systems.</li><li>Lead decisions on deterministic workflows vs. autonomous agents.</li><li>Implement guardrails, safety layers, and traceability mechanisms.</li><li>Develop evaluation frameworks to measure reasoning quality, hallucination rates, and reliability.</li><li>Establish CI/CD standards for ML lifecycle management.</li><li>Ensure compliance with enterprise data governance and responsible AI standards.</li></ul>&nbsp;Requirements &nbsp;<ul><li>8-10 years of Machine Learning/Software Engineer experience</li><li>2-3 years of people management experience.</li><li>Master’s degree or bachelors degree, computer science degree is highly desirable.</li><li>Strong software engineering background with experience in building system design, architecting AI feature/products that caters large number of users and deals with large volume of unstructured data.</li></ul>

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245 technology solutions Jobs found

Front End Central Product Integration (FE CPIE) MTS (FE)

MTS – FECOS CPIE Device

VP, Senior Data Engineering Manager

Manager I - R&D Product Development Engineering

Supply Chain Analyst

AI Transformation Engineer

AI Analytics and Visualization Engineer

Sales Manager

Sales Manager

Machine Learning Engineer Lead

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245 technology solutions Jobs found

Front End Central Product Integration (FE CPIE) MTS (FE)

MTS – FECOS CPIE Device

VP, Senior Data Engineering Manager

Manager I - R&D Product Development Engineering

Supply Chain Analyst

AI Transformation Engineer

AI Analytics and Visualization Engineer

Sales Manager

Sales Manager

Machine Learning Engineer 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.