Senior AI Engineer

Division Manager - VP2

Technology Obsolescence - Task force - Data Specialist (VP1)

Specialist, Application Monitoring & Dashboard Analytics (VP2)

Lead, AI & Data Products (Technical)

Senior Team Lead

Senior Manager – Technology Transformation

Customer Engineer

Senior Bid Manager

Inside Sales Engineer

Responsibilities: <ul><li>Own end-to-end delivery of AI and analytics products at stations in your region: discovery, scoping, build, integration, UAT, hypercare and rollout.</li><li>Embed with the operation. Sit in business stand-ups, walk the ramp and the cargo floor, and specify the local data reality rather than assuming it.</li><li>Ship production code in Python and comparable stacks against live flight, cargo, workforce and equipment data, not prototypes handed to someone else to productionise.</li><li>Scale deployment. Reduce cost and time-to-deploy from station N to station N+1 through reusable integrations, configuration and runbooks.</li><li>Consume through the semantic layer and the governed data platform. No parallel pipelines, no local definitions, no workarounds.</li><li>Apply CoE patterns and guardrails: reference architectures, AI registry, human-in-the-loop controls, access and residency rules.</li><li>Integrate GenAI and ML into workflows: RAG and retrieval, agentic and tool-use patterns, evaluation frameworks, observability and cost control in production.</li><li>Build data products, not report queues. Design- governed, reusable datasets and semantic models that let operations, airlines and forwarders answer their own questions.</li><li>Put insight in front of the customer. Deliver station and customer-facing analytics, including natural-language access to operational data, with the access, residency and confidentiality controls customer data demands.</li><li>Design for the user, not the requester. Every product names the decision it changes and who makes it. Instrument usage, retire what nobody opens, consolidate the long tail rather than extend it.&nbsp;</li><li>Feed the field back. Every integration problem you solve becomes a hardened pattern for the CoE and a requirement for the platform team.</li><li>Own adoption and benefits. Instrument what you deploy, track usage and benefit against the business case, and report it honestly.</li><li>Be the technical face to the business and to customers, translating between operations, the CoE and platform engineering.&nbsp;</li></ul> Requirements:&nbsp; <ul><li>6+ years in software or ML engineering, including customer-facing or business-embedded delivery.</li><li>Track record of scoping and shipping complex systems end to end in ambiguous, fast-moving environments, and staying accountable after go-live.</li><li>Production experience with LLM or ML systems: prompt and agent design, RAG, evaluation frameworks, deployment at scale, and an understanding of how model behaviour shapes product experience.</li><li>Strong Python and API development (FastAPI or equivalent); comfortable across backend and front-end enough to build a working system alone.</li><li>Practical depth in Docker, Kubernetes, CI/CD, and cloud data platforms; batch and real-time integration against messy enterprise sources.</li><li>Fluency in the analytics half of the job: semantic and dimensional modelling, modern BI, and designing data products that non-technical and external users can operate without help.</li><li>Aviation, logistics or complex operations exposure is an advantage, not a prerequisite. Willingness to learn the operation from the floor is not optional.</li><li>Bachelors, MSc or PhD in Computer Science, Engineering, Mathematics or related field.&nbsp;</li></ul>

Responsibilities: Service Operations Management: <ul><li>Lead and manage the First Recovery (L1 Application Support) team comprising approximately 19 analysts.</li><li>Ensure seamless delivery of 16x6 operational support (Monday through Saturday) and weekend coverage during Mainframe and AS400 IPL activities.</li><li>Drive effective handling of incidents, service requests, alerts, and operational tasks.</li><li>Ensure incidents are prioritized, triaged, and assigned appropriately to meet SLA commitments.</li><li>Act as the primary escalation point for critical incidents and major service disruptions.</li></ul> Incident &amp; Request Management: <ul><li>Drive achievement of the teams key KPI of maintaining a minimum 60% First Recovery Resolution Rate for all incidents received by the L1 support team.</li><li>Monitor incident trends and recurring issues, initiating preventive and corrective actions.</li><li>Ensure timely escalation of unresolved incidents to L2/L3 support teams.</li><li>Conduct incident reviews and implement lessons learned to improve service quality.</li></ul> Application &amp; Infrastructure Health Monitoring: <ul><li>Oversee proactive application and infrastructure health checks.</li><li>Ensure monitoring activities are performed consistently and operational issues are detected early.</li><li>Work with infrastructure, middleware, database, and application teams to improve system stability and availability.</li><li>Drive automation and operational improvements where appropriate.</li></ul> Knowledge Management: <ul><li>Establish and maintain a comprehensive Knowledge Base (KB) repository.</li><li>Ensure all recurring incidents, service requests, troubleshooting procedures, and operational runbooks are documented.</li><li>Promote knowledge sharing and continuous learning within the team.</li><li>Drive reduction of repeat incidents through effective documentation and process improvements.</li></ul> People Leadership: <ul><li>Manage, coach, and develop a team of 15–20 direct reports.</li><li>Perform resource planning, scheduling, workload distribution, and succession planning.</li><li>Conduct performance management, mentoring, and career development activities.</li><li>Foster a culture of accountability, customer focus, collaboration, and continuous improvement.</li><li>Ensure adequate staffing and capabilities are maintained to support business requirements.</li></ul> Stakeholder Management: <ul><li>Engage with application owners, infrastructure teams, business users, and senior management on operational matters.</li><li>Provide regular reporting on KPIs, incident trends, service improvements, and team performance.</li><li>Participate in governance meetings and operational reviews.</li></ul> Continuous Improvement: <ul><li>Identify opportunities to improve operational processes, tooling, and monitoring capabilities.</li><li>Drive reduction in incident volumes through root cause analysis and preventive actions.</li><li>Support operational transformation initiatives and service maturity improvements.</li></ul> Requirements: <ul><li>Bachelors Degree in Information Technology, Computer Science, Engineering, or a related discipline.</li><li>Minimum 8–12 years of IT experience with at least 3–5 years in a people management role.</li><li>Proven experience managing 15–20 direct reports in an Application Support environment.</li><li>Strong background in L1 and/or L2 Application Support.</li><li>Experience managing shift-based operational teams.</li><li>Demonstrated experience in Incident Management, Service Request Management, and Operational Support.</li></ul>

﻿Responsibilities: Data Collection &amp; Integration: Collect and consolidate data from multiple sources, including: <ul><li>CMDB platforms (e.g., Remedy)</li><li>IT Asset Management (ITAM) systems</li><li>Vendor lifecycle and support data</li><li>Security, vulnerability, and patching sources</li><li>Ensure data consistency and alignment across asset, configuration, and lifecycle repositories</li><li>Validate data accuracy, completeness, and currency</li></ul> Technology Obsolescence Analysis: <ul><li>Identify EOL, EOS, and obsolete technologies across hardware, software, OS, databases, middleware, and cloud services</li><li>Analyze lifecycle risks by technology type, vendor, business unit, and criticality</li><li>Support prioritization of remediation based on risk, business impact, and exposure</li></ul> Reporting &amp; Dashboarding: <ul><li>Design, develop, and maintain interactive dashboards and reports using:</li><li>Power BI / Tableau</li></ul> Create Standard Views Covering: <ul><li>Obsolescence risk heatmaps</li><li>Aging and lifecycle timelines</li><li>Remediation progress and trends</li><li>Compliance and audit‑ready metrics</li><li>Enable self‑service analytics for stakeholders where appropriate</li></ul> CMDB &amp; Asset Management Support: <ul><li>Support the alignment of CMDB data with actual deployed assets</li><li>Identify gaps, redundancies, or inaccuracies in configuration and asset records</li><li>Drive improvements in asset lifecycle tagging, ownership, and criticality classification</li><li>Collaborate with ITSM, ITAM, and platform teams to improve data quality and governance</li></ul> Stakeholder &amp; Decision Support: <ul><li>Provide insights and analysis to:</li><li>Domain leads and task force leads</li><li>Project managers and delivery teams</li><li>Risk, security, and audit stakeholders</li><li>Translate complex data into clear, actionable insights for non‑technical audiences</li><li>Support business case development and roadmap planning with data evidence</li></ul> Data Governance &amp; Continuous Improvement: <ul><li>Define and document data definitions, metrics, and reporting standards</li><li>Automate data refreshes and reporting pipelines where possible</li><li>Identify opportunities to improve lifecycle visibility and predictive risk analysis</li></ul> Requirements: <ul><li>5–8+ years of experience in a data analyst or reporting role within IT or technology functions</li><li>Experience supporting modernization, risk, lifecycle, or transformation initiatives is a strong advantage</li><li>Bachelor’s degree in Information Systems, Computer Science, Data Analytics, or related field</li><li>Power BI or Tableau certification</li><li>ITIL or IT Asset Management certification is a plus</li><li>Data &amp; Analytics Skills</li><li>Strong experience in data analysis and visualization</li><li>Hands on expertise in:</li><li>Power BI (DAX, data modeling, performance optimization)</li><li>Tableau (dashboards, calculated fields, storytelling)</li><li>Strong SQL skills for querying large datasets</li><li>Experience working with structured and semi structured data</li></ul>

Responsibilities: <ul><li>Gather and analyze user requirements for dashboard, monitoring, and reporting enhancements.</li><li>Design, develop, and maintain operational dashboards and monitoring solutions based on business and technical requirements.</li><li>Create, modify, and optimize queries to extract, analyze, and present data for business and operational reporting.</li><li>Develop reports and analytics that provide actionable insights into system performance, availability, and operational health.</li><li>Support and administer enterprise monitoring tools such as Splunk and Geneos.</li><li>Troubleshoot monitoring alerts, dashboard discrepancies, and reporting-related issues.</li><li>Participate in system implementation, enhancement, testing, and deployment activities.</li><li>Ensure compliance with organizational standards, governance, and audit requirements.</li><li>Prepare and maintain technical documentation, user guides, and operational procedures.</li><li>To identify area of monitoring coverage to be improved; and work with relevant teams to enable monitoring solution to improve monitoring coverage.</li><li>To identify area of triage efficiency to be improved; and work with relevant teams to implement solution to improve triage efficiency.</li><li>To identify area of automation of service recovery ability to be improved; and work with relevant teams to implement solution to automate service recovery ability.</li><li>To work with various stakeholders (i.e., service automation, level 2 (group) and level 3 production support etc) to implement application monitoring, service end-to-end dashboard, and automation of service recovery.</li></ul> Requirements: <ul><li>Strong hunter mentality with a passion for creating new business opportunities and opening new partner relationships.</li><li>Experience in business development, channel sales, partner sales, technology sales, or customer acquisition roles.</li><li>Comfort with outbound prospecting, cold outreach, networking, pipeline generation, and opportunity development.</li><li>Understanding of cloud technologies, managed services, software licensing, cybersecurity, or broader IT solutions.</li><li>Strong commercial acumen with the ability to influence stakeholders and build strategic business relationships.</li><li>Self-motivated, resilient, and driven by achieving growth targets, partner acquisition goals, and business outcomes.</li></ul>

Role Description: <ul><li>The organization is investing in a small number of high-impact AI and data products intended to operate across its global station network. </li><li>Each requires a single accountable owner who can hold the technical architecture and the product direction together, from first implementation through multi-station scale.</li><li>We are looking for a Lead, AI &amp; Data Products to take that ownership.&nbsp;</li><li>This is a senior individual contributor role for an engineer or applied scientist who has moved into product leadership, not a product manager with adjacent technical exposure.</li><li>You will be expected to reason about model design, data architecture and production trade-offs at the level of the engineers building the system, and to hold the roadmap, business case and stakeholder relationships at the level of the executives funding it.&nbsp;</li><li>The role operates horizontally.</li><li>You will act as the single-threaded owner for assigned initiatives, working with the AI Centre of Excellence on patterns and feasibility, with Data Engineering and Platform on the data foundation, with Operational Excellence and the business product owners on process change, and with the forward deployed engineers in region on station rollout.</li></ul> This is a hands-on role. <ul><li>You will review and contribute to code, make architectural calls, and spend meaningful time at the frontline understanding operations directly rather than through documentation.</li></ul> Responsibilities: Technical product ownership <ul><li>Own the product end to end for assigned AI and data initiatives: discovery, technical architecture, roadmap, delivery sequencing and global rollout readiness.</li><li>Act as single-threaded owner. One person accountable for whether the product works, is adopted, and delivers its business case across stations and regions.</li><li>Convert programs into products.&nbsp;</li><li>Move initiatives currently run as projects onto a product footing with a roadmap, a lifecycle, named users and a benefit measure.</li><li>Make the build decisions: in-house, CoE pattern, capability center, or vendor. Own the trade-off and the consequences.</li></ul> Technical depth <ul><li>Set the architecture for AI and data products spanning forecasting, optimization, simulation, GenAI and agentic workflows, and defend it in technical review.</li><li>Work in the codebase. Review designs and pull requests, prototype where it resolves ambiguity faster than discussion, and contribute directly when delivery depends on it.</li><li>Own production quality: model robustness, explainability, evaluation, monitoring, latency and cost in service, not only at launch.</li><li>Build on the platform. Consume governed data through the semantic layer and apply CoE guardrails rather than constructing parallel capability.</li></ul> Business and delivery leadership <ul><li>Translate operational problems into technical solutions and, equally, translate technical constraints into terms operations and commercial leadership can act on.</li><li>Own the business case with the business product owner: the benefit hypothesis, the measurement approach and the reported outcome.</li><li>Lead without direct authority across engineering, data science, operations and regional teams, including delivery through the capability center and vendor partners.</li><li>Work from the frontline.</li><li>Regular Gemba at stations, with operational understanding built firsthand.</li></ul> Requirements: <ul><li>10+ years in engineering, applied AI or data science, with a substantial portion spent building and running systems in production rather than specifying them.</li><li>Demonstrable record of owning technical products end to end and scaling them beyond a first implementation into multi site or multi-market operation.</li><li>Depth in one or more of: forecasting (time series, probabilistic, hierarchical), optimization (MIP, LP, heuristics), simulation, or production GenAI and agentic systems, with working literacy across the others.</li><li>Strong Python and SQL, with practical command of the modern data and ML stack: cloud data platforms, pipelines, model deployment, evaluation and monitoring.</li><li>Experience influencing senior stakeholders and operating across engineering, operations and commercial functions without direct reporting lines.</li><li>Aviation, logistics or complex physical operations exposure is an advantage, not a prerequisite.</li></ul> Qualifications <ul><li>Bachelors, MSc or PhD in Computer Science, Engineering, Data Science, Mathematics, Operations Research or a related field. Personal characteristics</li><li>Technical credibility earned through building, not through managing builders.</li><li>Judgement on trade-offs between scope, speed and quality, with the confidence to decide under incomplete information.</li><li>Clear communication with engineers, operators and executives, adjusting register without losing precision.</li><li>Comfort with ambiguity and being accountable for outcomes rather than activity.</li></ul>

Responsibilities: <ul><li>Lead &amp; participate in the design, development, and maintenance of FMF-related applications.&nbsp;&nbsp;</li><li>Conduct impact analysis and internal data mapping during the design phase.&nbsp;&nbsp;</li><li>Collaborate with business analysts and stakeholders to finalize technical requirements.&nbsp;&nbsp;</li><li>Perform defect analysis and resolution.&nbsp;&nbsp;</li><li>Write and maintain Unix/Linux shell scripts to support automation and integration.&nbsp;&nbsp;</li><li>Execute SQL queries and updates to support application logic and reporting.&nbsp;&nbsp;</li><li>Manage and mentor junior developers, ensuring quality and timely delivery.&nbsp;&nbsp;</li><li>Coordinate with testing, infrastructure, and compliance teams to ensure smooth deployment and support.&nbsp;&nbsp;</li><li>Provide regular updates to project managers and escalate risks/issues with proposed resolutions.&nbsp;&nbsp;</li><li>Lead technical implementation of vendor products (e.g., Firco™ Continuity).&nbsp;&nbsp;</li><li>Perform gap analysis between internal requirements and vendor product capabilities.&nbsp;&nbsp;</li><li>Liaise with vendors to address product limitations, customization needs, and integration challenges.&nbsp;&nbsp;</li><li>Ensure compliance with internal standards and regulatory requirements during implementation.&nbsp;&nbsp;</li><li>Document technical specifications, deployment procedures, and support guides.&nbsp;</li></ul> Requirements&nbsp;&nbsp; <ul><li>Experienced in software development roles, with at least 2 years in a senior or lead capacity.&nbsp;&nbsp;</li><li>Proven eperience in banking or financial services, especially in compliance or payments.&nbsp;&nbsp;</li><li>Strong understanding of SDLC processes and experience in technical design and impact analysis.&nbsp;&nbsp;</li><li>Experience implementing and managing vendor products in enterprise environments.&nbsp;&nbsp;</li><li>Proficient in Unix/Linux shell scripting and SQL.&nbsp;&nbsp;</li><li>Hands-on experience with Java for defect resolution and enhancements.&nbsp;&nbsp;</li><li>Familiarity with payment technologies (SWIFT messaging, transaction flows) and AML systems&nbsp;&nbsp;</li><li>Experience with DevOps practices and CI/CD tools (Jenkins, Artifactory, SonarQube) will be an added&nbsp;</li><li>advantage&nbsp;&nbsp;</li><li>Degree in Computer Science, Engineering, or a related field.&nbsp;&nbsp;</li><li>Additional certifications in payment or compliance technology are advantageous&nbsp;&nbsp;</li></ul>

Role Description: <ul><li>The role holder identifies and defines opportunities, builds the business case for each initiative, and leads delivery through internal technology functions and delivery partners. Initiatives are held to their intended outcomes, adoption and benefits, not go-live alone. This is a hands-on role. </li><li>The role holder personally designs, builds and deploys data, analytics, automation and AI solutions, and coordinates multidisciplinary teams.</li></ul> Responsibilities: <ul><li>Provide analysis and recommendations to help develop DHI’s technology, data and digital transformation agenda, for review by the Executive Director – Portfolio Operations and Intelligence.</li><li>Develop and maintain roadmaps for assigned initiatives, sequencing activity by value, dependency, risk and readiness.</li><li>Lead discovery and solution design with DHI departments, running workshops that define the opportunity, scope and intended outcome of each initiative.</li><li>Identify opportunities to improve revenue, productivity, customer experience, operational performance and decision-making through data, analytics, automation and AI.</li><li>Define value hypotheses, success metrics, adoption targets and value realisation frameworks for each initiative.</li><li>Design, develop, deploy and maintain data and analytical solutions, dashboards, automation solutions and AI-enabled products.</li><li>Build and maintain ETL/ELT processes and data transformation workflows.</li><li>Own the lifecycle of data, analytics, automation and AI products, from concept through deployment and adoption.</li><li>Define product vision, user requirements, roadmaps, backlogs and delivery priorities, based on the end-to-end needs of alternative asset management users, including investment professionals, portfolio managers, senior leadership and governance functions. Translate business challenges into technical requirements, user stories and solution designs.</li><li>Lead end-to-end delivery of assigned transformation initiatives, managing scope, schedule, cost and quality.</li><li>Ensure initiatives meet cybersecurity, data protection, privacy and AI governance requirements.</li></ul> Requirements: <ul><li>6 – 8 years of experience in technology transformation, data product development, applied AI, technology consulting or data-enabled transformation.</li><li>Demonstrated experience personally taking a problem through to a production-grade product.</li><li>Bachelor’s degree in Computer Science, Engineering, Data Science, AI, Mathematics, Statistics, Business or another relevant quantitative discipline.</li><li>Advanced degree, such as an MBA, preferred.</li><li>Technology, data and digital transformation planning and roadmap development</li><li>Data platforms such as Databricks, Azure AI Foundry, Spark, Hive or Palantir Foundry</li></ul>

Responsibilities: <ul><li>Install, maintain, and upgrade customer equipment&nbsp;</li><li>Apply basic diagnostic techniques to assess equipment and address technical issues, with assistance from Senior Field Service Engineers [Customer Engineers]&nbsp;</li><li>Collaborate with Senior Field Service Engineers [Customer Engineers] and/or the customer to understand roadmaps, process flows, inflection points, requirements, and&nbsp;</li><li>business challenges&nbsp;&nbsp;</li><li>Train and mentor junior Field Service Engineers [Customer Engineers]&nbsp;</li><li>Perform preventative and corrective maintenance on electrical, vacuum, mechanical, plasma, hydraulic, and gas systems&nbsp;</li><li>Coordinate and communicate directly with customers&nbsp;</li><li>Fulfill additional duties, as assigned.&nbsp;</li></ul> Requirements: <ul><li>Completion of a Diploma and/or Bachelor’s degree, military technical training, field service experience, or trade certification&nbsp;</li><li>4-7 years of work experience in semiconductor industry or other equipment support industry&nbsp;</li><li>Advanced mechanical aptitude with pneumatics, hydraulics, electronics, vacuum, and/or thermodynamics&nbsp;</li><li>Strong knowledge of hand tools and their appropriate usage, including digital multimeters&nbsp;</li><li>Effective written and verbal communication skills&nbsp;</li><li>Basic knowledge of Microsoft Excel, Word, and PowerPoint&nbsp;&nbsp;</li><li>Possession of a valid driver’s license and the ability to obtain a passport, if travel is required.&nbsp;</li></ul>

Role Description: <ul><li>The Senior Bid Manager will establish and develop a new deal and bid management capability, acting as the central coordinator for complex Requests for Proposals (RFPs) and tenders across EMEA and North America, with support for APAC as required.</li><li>Based in the UK, the role will work closely with Sales, Pricing, Legal, Service Delivery, and other teams across the business to coordinate the end-to-end bid process and ensure the development of high-quality, commercially sound, and deliverable proposals.</li><li>This is an exciting opportunity to shape a new capability and play a key role in how the business approaches and delivers complex deals globally. The Senior Bid</li><li>Manager will bring structure and organisation to a developing function, establishing effective processes, tools, and ways of working while remaining adaptable as the business evolves.</li><li>This is a highly hands-on role requiring a proactive self-starter who can work autonomously while thinking strategically. An AI-first mindset is essential to identify smarter, more efficient ways of working and continuously improve the deal and bid management process.</li></ul> Responsibilities: RFP Orchestration and Qualification <ul><li>Own the RFP intake register and qualification process, assessing scope, probability of winning, and resource capacity.</li><li>Propose resource allocation to senior commercial leadership.</li><li>Develop and manage end-to-end bid plans, including meeting schedules, stage gates, task delegation, and deadline management across all workstreams.</li><li>Organise mandatory RFP strategy kick-off meetings and prepare decision-making packs for each stage gate.</li></ul> Contract and SLA Alignment <ul><li>Build and maintain a global standard contract clause library and deviation register.</li><li>Establish the standard contractual baseline for each RFP and consolidate regional amendments into a single position for negotiation.</li><li>Coordinate Service Level Agreements (SLAs) with Service Delivery teams, ensuring internal approval of operational feasibility before commitments are made to customers.</li><li>Manage contractual terms and SLAs as part of an integrated negotiation process.</li><li>Coordinate with Legal teams on standard contractual terms.</li><li>Refer significant contractual or SLA deviations to Pricing for financial impact assessment.</li><li>Track contract approvals and signatures through to completion.</li></ul> Proposal Excellence <ul><li>Develop compelling solution narratives and executive summaries tailored to the evaluation criteria and target audience.</li><li>Lead internal bid reviews and quality assurance processes.</li><li>Build and maintain a library of standard proposal content, templates, and reusable materials.</li><li>Evaluate and implement AI-powered bid management tools, such as Loopio or similar platforms, to improve proposal quality, consistency, and turnaround times.</li><li>Manage customer portal submissions, ensuring accuracy, compliance, and on-time delivery across relevant time zones.</li></ul> Continuous Improvement <ul><li>Facilitate structured win/loss reviews following each RFP to identify lessons and improvement opportunities.</li><li>Maintain and continuously improve bid processes, standard templates, reusable proposal content, and contractual clause libraries between live bids.</li><li>Identify opportunities to improve efficiency, consistency, and commercial effectiveness through automation and AI-enabled tools.</li></ul> Requirements: Relevant Skills and Experience <ul><li>12+ years of relevant pre-sales, bid management, or related commercial experience, with an AI-first mindset.</li><li>Essential experience in aviation, ground handling, or air cargo handling; knowledge of the Standard Ground Handling Agreement (SGHA) is a strong advantage.</li><li>Proven experience managing complex, multi-workstream bids and tenders against strict external deadlines.</li><li>Strong stakeholder management and influencing skills, with the ability to coordinate teams across regions, functions, and seniority levels without direct authority.</li><li>Strong contract management knowledge and sound commercial judgement.</li><li>Ability to work effectively in ambiguous, evolving environments and establish structure in a developing function.</li><li>Practical experience with bid management and AI tools, such as Loopio or equivalent platforms.</li><li>A proactive, hands-on approach with the ability to take ownership and deliver independently.</li><li>Excellent written communication, proposal development, presentation, and executive-level communication skills.</li></ul> Core Values <ul><li>Safety: Maintaining the highest standards of safety and operational responsibility.</li><li>Customer Focus: Delivering value and creating positive customer experiences.</li><li>Respect: Listening to, understanding, and respecting colleagues and stakeholders.</li><li>Excellence: Pursuing high standards in every aspect of delivery.</li><li>Teamwork: Collaborating effectively and building on the strengths of others.</li></ul>

Responsibilities: <ul><li>Identify and pursue new sales opportunities across PH market.&nbsp;</li><li>Build and maintain strong relationships with existing and potential customers, adapting communication styles to regional preferences.</li><li>Support external sales engineers by generating leads and qualifying prospects.</li><li>Generate quotation and revert to customers for standard products, tubing, hoses and parts.</li><li>Follow up with customer quotations.</li><li>Take orders for repeat business and ensure timely follow-up with clients.</li><li>Collaborate with cross-functional teams to align sales strategies with regional market trends.</li><li>Maintain accurate records of customer interactions and sales activities in CRM systems.</li></ul> Requirements: <ul><li>Good English communication skills.&nbsp;</li><li>2 to 5 years of experience in inside sales (cold calling / lead generation).</li><li>Background in maintaining accurate records of customer interactions and sales activities.</li><li>Cold calling, lead generation.</li></ul>

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346 senior software engineer full stack Jobs found

Senior AI Engineer

Division Manager - VP2

Technology Obsolescence - Task force - Data Specialist (VP1)

Specialist, Application Monitoring & Dashboard Analytics (VP2)

Lead, AI & Data Products (Technical)

Senior Team Lead

Senior Manager – Technology Transformation

Customer Engineer

Senior Bid Manager

Inside Sales Engineer

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346 senior software engineer full stack Jobs found

Senior AI Engineer

Division Manager - VP2

Technology Obsolescence - Task force - Data Specialist (VP1)

Specialist, Application Monitoring & Dashboard Analytics (VP2)

Lead, AI & Data Products (Technical)

Senior Team Lead

Senior Manager – Technology Transformation

Customer Engineer

Senior Bid Manager

Inside Sales Engineer

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