Portfolio Marketing Manager - Commercial HVAC Solutions

Software Engineer – Ag & Trade

Enterprise Analytics – Machine Learning Ops/AI Projects (VP1)

Inheritance Tax Writer 

Global AI Legislation Content Optimisation Lead

Consultant Infrastructure & Operations (SAM)

Project Manager PMO II

VP, Engineering Manager

AVP, Channel Marketing

Senior IT Engineer

Responsibilities:&nbsp; <ul><li>Develop and execute go-to-market strategies, including portfolio positioning, target audiences, messaging frameworks, launch plans, and KPIs.&nbsp;</li><li>Translate market, customer, and product insights into clear, differentiated value propositions.&nbsp;</li><li>Lead commercialization activities for new product introductions and portfolio growth initiatives.&nbsp;</li><li>Create and manage marketing campaigns tailored to different customer segments, personas, and buying journeys.&nbsp;</li><li>Conduct persona mapping and customer journey analysis to better understand decision-making processes and engagement needs.&nbsp;</li><li>Develop sales enablement tools, competitive insights, presentations, training materials, and customer-facing content.&nbsp;</li><li>Train and support sales teams on value propositions, market positioning, and customer engagement strategies.&nbsp;</li><li>Support business development activities by equipping sales teams with the tools and insights needed to identify and win opportunities.&nbsp;</li><li>Prioritize and support the development of digital tools such as ROI calculators, product selection tools, and competitive comparison resources.&nbsp;</li><li>Coordinate input from Product Management, Sales, Marketing, Engineering, and Supply Chain teams to deliver cohesive commercialization plans.&nbsp;</li><li>Continuously optimize go-to-market strategies using customer feedback, market insights, and performance data.&nbsp;</li><li>Monitor market trends and customer needs to identify growth opportunities and strengthen portfolio performance.&nbsp;</li></ul>&nbsp;Requirements:&nbsp; <ul><li>University education in&nbsp;&nbsp;Engineering, Marketing, Business, or a related field.&nbsp;</li><li>3 to 8 years of experience within the HVAC industry.&nbsp;</li><li>Background in product marketing, portfolio marketing, technical marketing, application engineering, sales, or a related commercial role.&nbsp;</li><li>Strong understanding of the commercial HVAC sales channel and customer buying process.&nbsp;</li><li>Experience supporting product launches, commercialization activities, and go-to-market initiatives.&nbsp;</li><li>Excellent communication, presentation, and stakeholder management skills.&nbsp;</li><li>Customer-oriented mindset, analytical skills, business acumen and strong execution skills&nbsp;&nbsp;&nbsp;</li><li>Ability to translate technical concepts into compelling customer-focused messages and value propositions.&nbsp;</li><li>Strong commercial awareness and customer-centric mindset.&nbsp;</li><li>A proactive, hands-on approach and a strong sense of ownership.&nbsp;</li><li>Excellent stakeholder management and influencing skills.&nbsp;</li><li>Fluent in English. Other European languages are an asset.&nbsp;&nbsp;</li></ul>

Responsibilities: Software Development: <ul><li>Design, develop, test, and maintain scalable software applications using Java Spring Boot and JavaScript for backend and frontend development, respectively. Build clean, reusable, maintainable, and well-tested code following software engineering best practices.</li></ul> Full Stack Application Development: <ul><li>Develop end-to-end web and mobile applications using Java Spring Boot, React or React Native, backend APIs, database integrations, and modern UI frameworks to deliver intuitive user experiences.</li><li>Design and develop secure RESTful APIs, backend services, authentication mechanisms, and data access layers while ensuring application scalability and performance.</li></ul> AI Enable Engineering: <ul><li>Leverage AI-assisted development tools such as GitHub Copilot, Cursor, ChatGPT, Claude, Amazon Q, or similar tools to improve engineering productivity.</li><li>Experience integrating LLM APIs or AI-powered capabilities into applications is desirable.</li></ul> Collabration: <ul><li>Collaborate with Product Managers, Business Analysts, UX Designers, QA Engineers, Architects, and cross-functional engineering teams to understand business requirements and deliver scalable software solutions.</li><li>Participate in sprint planning, technical discussions, estimation, backlog refinement, and Agile ceremonies.</li></ul> Testing &amp; Quality: <ul><li>Develop unit tests, integration tests, and participate in peer code reviews to ensure software quality, maintainability, reliability, and performance.</li><li>Follow secure coding standards and engineering best practices.</li></ul> Cloud &amp; Devops: <ul><li>Contribute to CI/CD pipelines and cloud-native application deployments using technologies such as Docker, Kubernetes, Azure, AWS, GitHub Actions, or Azure DevOps.</li></ul> Continous Improvement: <ul><li>Identify opportunities to improve software architecture, engineering standards, automation, developer productivity, and application performance.</li><li>Adopt AI-assisted engineering workflows and modern software development practices.</li></ul> Technical Support: <ul><li>Troubleshoot production issues, perform root cause analysis, and resolve application issues while ensuring minimal business disruption.</li></ul> Requirements: <ul><li>Bachelors degree in Computer Science, Engineering, Information Technology, or a related field (or equivalent practical experience).</li><li>3–5 years of professional software development experience.</li><li>Minimum 3+ years of hands-on full-stack development experience.</li><li>Experience developing production-grade web or mobile applications (not academic or personal projects).</li><li>Strong proficiency in Java Spring Boot and JavaScript.</li><li>Experience developing applications using React or React Native.</li><li>Experience developing backend services using Node.js or equivalent backend technologies.</li><li>Strong understanding of REST API development.</li><li>Experience with relational databases such as PostgreSQL, MySQL, SQL Server, or equivalent.</li><li>Strong knowledge of Git and modern software engineering practices.</li><li>Experience working in Agile/Scrum teams.</li><li>Strong understanding of object-oriented programming, software design principles, and data structures.</li></ul>

Responsibilities: <ul><li>Develop and maintain automation scripts using Linux shell scripting, Python, or other relevant tools.</li><li>Develop and maintain the entire DevOps pipelines.</li><li>Ensure seamless deployment and integration between cloud/prem environments (AWS).</li><li>Integrate AI models into production environments using containerized platforms such as OpenShift.</li><li>Implement and maintain network security protocols to safeguard AI systems and data pipelines.</li><li>Collaborate with cross-functional teams to understand AI workflows and translate them into robust engineering solutions.</li><li>Monitor and optimize system performance, reliability, and scalability.</li><li>Support CI/CD processes and infrastructure for AI model deployment and updates.</li></ul> Requirements: <ul><li>Bachelor’s degree in Computer Science, Engineering, or a related field.</li><li>Bash and Unix/Linux command-line toolkit is a must-have.</li><li>Deep technical background, with hands-on experience in supporting CI/CD pipelines (Bitbucket, Jenkins, Artifactory, Sonar, Veracode for SAST, JIRA workflow, and Confluence).</li><li>Hands-on experience with OpenShift, Docker, Kubernetes.</li><li>Knowledge of cloud platforms (e.g. AWS) is a must-have.</li><li>Exposure to data and network security and compliance in AI systems.</li><li>Knowledge of API integration and microservices architecture.</li><li>Proficiency in Python used both for automation and ML-related tasks</li><li>Knowledge of Workflow Orchestrator, such as Ctrl-M</li><li>Good knowledge of Logging and Monitoring tools, such as Splunk and Geneos.</li><li>Experience with Observability framework, such as Langfuse, Elastic Stack, Grafana, Open Telemetry.</li><li>Understanding of Generative AI (e.g. prompt engineering, RAG pipelines) and Agentic AI concepts.</li></ul>

Role Description: <ul><li>An exciting opportunity has arisen for a Tax Writer specialising in Inheritance Tax to join Tolley, a leading provider of tax research. </li><li>In this role, you will contribute to the development of practical guidance, in-depth content, and AI-driven tools supporting inheritance tax, trusts, and estates. </li><li>You will collaborate with a knowledgeable and supportive team, helping shape the future direction of tax content and solutions. </li></ul> Responsibilities <ul><li>Write and update content for Tolley+ (including both deep research material and practical guidance and AI tools)</li><li>Work with Tolley’s Commissioning team on externally commissioned IHT content</li><li>Assist the Director of Content and the wider business with the strategic direction of Tolley’s Tax offering</li></ul> Requirements <ul><li>CTA/ STEP qualified (or equivalent)</li><li>A good technical knowledge of IHT, Trusts, Estates and Personal Tax, both advisory and compliance</li><li>Strong English writing skills</li><li>Ability to communicate complex tax concepts in an understandable way</li></ul>

Role Description: <ul><li>This is a strategic individual contributor role within the Global Editorial Operations (GEO) team, responsible for driving AI-enabled transformation across legislative and regulatory content. </li><li>The successful candidate will partner closely with Editorial, Product and Technology teams to identify opportunities where AI and Large Language Models (LLMs) can improve content creation, enrichment, summarisation, classification, quality and workflow efficiency at a global scale.&nbsp;</li><li>While experience within legal or legislative publishing would certainly be advantageous, the hiring team is equally interested in professionals who have successfully led AI-enabled workflow optimisation and editorial transformation initiatives in publishing, information services, knowledge management or other content-rich environments.</li></ul> Responsibilities: AI Strategy &amp; Transformation&nbsp; <ul><li>Develop the global strategy for AI-enabled content creation and optimisation.</li><li>Identify opportunities to leverage LLMs, NLP and automation across editorial workflows.</li><li>Lead AI transformation initiatives from concept through implementation.</li></ul> Cross-functional Collaboration&nbsp; <ul><li>Partner with Product, Technology and Editorial teams to deliver scalable AI solutions.</li><li>Drive adoption of AI-enabled tools and new ways of working across global teams.</li><li>Influence stakeholders without direct line management responsibility.</li></ul> Editorial Excellence&nbsp; <ul><li>Define standards for AI-generated and AI-assisted content.</li><li>Ensure quality, consistency and responsible AI practices across editorial operations.</li><li>Develop best practices and training to improve AI capability across the organisation.</li></ul> Requirements: <ul><li>Experience leading AI or Generative AI workflow transformation.</li><li>Strong Editorial, Content Operations or Publishing background.</li><li>Experience implementing LLMs, NLP or AI-driven content solutions.</li><li>Programme or Product Management experience within content-rich environments.</li><li>Excellent stakeholder management and cross-functional leadership skills.</li><li>Legal, regulatory or legislative publishing experience is advantageous but not essential.</li></ul>

Responsibilities: <ul><li>Software Asset Lifecycle Management: Own end-to-end software asset lifecycle management from request, deployment, usage, optimization, and retirement. Maintain accurate and audit-ready software inventories and entitlement records. Ensure effective software normalization and reconciliations</li><li>License Compliance &amp; Audit Management: Ensure ongoing compliance with software licensing agreements by identifying and remediating compliance gaps and over deployment risks</li><li>Cost Optimization: Analyse software usage data to identify optimization and cost reduction opportunities, support contract renewals, license negotiations, and true-up planning with data-driven insights</li><li>Tools &amp; Data Management: Administer and operate SAM tools, ensure data accuracy across systems, and report for license compliance, deployment, and spend visibility</li><li>Process &amp; Continuous Improvement: Maintain and continuously improve SAM policies, standards, and operating procedures aligning with ISO/IEC 19770, ITIL and internal governance frameworks</li></ul> Requirements: <ul><li>Bachelor’s degree in IT or Computer Science from Tier 1 Engineering institute</li><li>6+ years of hands-on experience in Software Asset Management</li><li>Deep understanding of software licensing models and metrics (user, device, core, processor, subscription, BYOL, SaaS)&nbsp;</li><li>Proven experience handling complex enterprise software estates and managing publisher audits independently</li><li>Hands-on experience working with SAM tools such as Flexera, ServiceNow SAM Pro.</li><li>Experience working on high-impact global projects, strategic initiatives, and change management initiatives</li><li>Excellent communication and ability to work independently as an individual contributor and collaborate effectively with cross-functional teams</li></ul>

Responsibilities: <ul><li>Drive PMO governance across multiple engineering projects.</li><li>Manage project portfolio tracking and governance activities.</li><li>Prepare and maintain leadership dashboards and executive reports.</li><li>Track project KPIs, milestones, risks, issues, and action items.</li><li>Facilitate Gate Phase/Toll Gate reviews and governance meetings.</li><li>Support New Product Introduction (NPI) projects throughout the product lifecycle.</li><li>Manage APQP and project documentation.</li><li>Standardize PMO processes and governance frameworks.</li><li>Drive Continuous Improvement initiatives using Lean/Kaizen methodologies.</li><li>Coordinate with global cross-functional engineering teams.</li><li>Support leadership reviews and executive decision-making through accurate reporting.</li></ul> Requirements: <ul><li>3–6 years of experience in PMO, Project Management, or Program Management.</li><li>Bachelors Degree in Engineering (BE/B.Tech) only.</li><li>Experience working in manufacturing or industrial organizations.</li></ul> Strong experience in: <ul><li>PMO Governance</li><li>Project Portfolio Management</li><li>Gate Phase / Toll Gate Process</li><li>APQP &amp; Documentation Management</li><li>Training Global Teams</li><li>Leadership / PMI Dashboards</li><li>Advanced Excel</li><li>New Product Introduction (NPI)</li><li>Executive Reporting</li><li>Stakeholder Management</li><li>Continuous Improvement (Lean / Kaizen)</li></ul> Preferred: <ul><li>Experience with Planisware or MS Project.</li><li>Exposure to Power BI or similar reporting tools.</li><li>Knowledge of Agile methodology.</li><li>PMI/PMP certification is an advantage.</li><li>Experience supporting engineering or product development organizations.</li></ul>

Responsibilities: People, Talent and Cross-Functional Collaboration:&nbsp; <ul><li>Ensure optimal staffing levels across front-end, back-end, full-stack, and platform specializations.&nbsp;</li><li>Hire, coach, and develop top-tier engineering talent.</li><li>Manage direct reports and technical leads, address performance issues promptly, and build strong relationships with Product, Design, Platform, Data, and agile train leadership to deliver cohesive, customer-focused solutions.</li><li>Community of Practice, Developer Experience and AI-Driven Engineering: As AI tooling becomes inseparable from modern engineering practice, own the convergence of Community of Practice standards and AI adoption as a single discipline.&nbsp;</li><li>Foster best practice adoption across the engineering community with AI tooling treated as a first-class part of the practice.</li><li>Define standards for responsible AI adoption — including when to use AI coding assistants, agents, skills, and MCP integrations versus traditional approaches.</li><li>Establish clear guidance on the distinction between AI Skills (deterministic capabilities) and Agents (autonomous, multi-step workflows). </li><li>Evaluate, pilot, and roll out AI tools (GitHub Copilot, Claude Code, Cursor, Windsurf, Continue.dev, Aider, Cline, Ollama). </li><li>Define governance for AI use in regulated financial services contexts including data handling, PII protection, IP compliance, and code provenance. </li><li>Track and measure the combined impact of CoP practices and AI adoption on cycle time, PR throughput, defect rates, and developer satisfaction.</li><li>System Architecture and Technical Direction: Own a modern view of system architecture spanning client, server, data, integration, and AI layers.&nbsp;</li><li>Champion patterns such as micro-frontends, BFF, event-driven, API-first, serverless, and composable architectures.&nbsp;</li><li>Partner with Enterprise Architects on platform alignment.&nbsp;</li><li>Guide trade-off decisions (monolith vs. microservices, sync vs. async, build vs. buy). Use AI-powered architecture tools to accelerate design exploration and generate ADRs.</li><li>Ensure teams document decisions so both humans and AI agents can reason about the system. </li><li>Understand how AI tools interact with system architecture — including RAG, vector databases, MCP integrations, and agentic workflows.</li></ul> Strategic Planning, Delivery and Operational Excellence:&nbsp; <ul><li>Ensure plans align with CoP goals, review quarterly commitments to flag risks early, and step in to resolve conflicts between product, design, and engineering.&nbsp;</li><li>Drive CI/CD best practices, ensure high-quality scalable solutions across the stack, and provide on-call support during escalations.&nbsp;</li><li>Support tech leads hands-on when needed, regardless of which layer of the stack the problem lives in.</li></ul> Requirements: <ul><li>Strong hands-on background in modern front-end technologies (ReactJS, TypeScript, NextJS, Cypress) as an anchor foundation, with working knowledge of back-end technologies, APIs, microservices, and data layer concepts.&nbsp;</li><li>Experience with AWS cloud services, CI/CD pipelines, and modern DevOps practices.&nbsp;</li><li>Proven ability to lead engineers working across the full stack.</li><li>Solid grounding in system architecture fundamentals — distributed systems, scalability, CAP trade-offs, caching, messaging, API design — and familiarity with modern patterns (micro-frontends, BFF, event-driven, CQRS, serverless, composable architectures).&nbsp;</li><li>Experience making and documenting architecture decisions (ADRs), with understanding of how AI-native architecture (RAG pipelines, vector databases, agent orchestration) differs from traditional architecture.</li><li>Hands-on experience with AI coding assistants (GitHub Copilot, Claude Code, Cursor, or equivalent) with clear understanding of the difference between AI Skills and Agents, familiarity with MCP (Model Context Protocol), RAG patterns, and experience defining AI usage guidelines and governance frameworks for regulated environments.&nbsp;</li><li>Awareness of the open-source AI tooling ecosystem (Continue.dev, Aider, Cline, Ollama).</li><li>Proven experience leading and growing high-performing engineering teams, running or contributing to a Community of Practice, and strong communication skills with the ability to influence across organizational levels.</li></ul>

Responsibilities: <ul><li>Liaise with clients and peers within Performance Marketing to deliver complex channel requests &amp; problem-solving (e.g., new clients, new offers/products, escalated requests related to timeline or complexity).</li><li>Drive the re-imagination of channel execution, transforming to become more flexible, and agile, and deliver expedited cross-channel campaign solutions for all portfolios.</li><li>Scrum Master of Pod; runs stand-ups, assigns workload, trains Pod members on portfolio nuances, and ensures completion of all work.</li><li>Manage , train &amp; mentor/coach team members to ensure competency in multi-channel execution, career growth pathing and enhance performance.</li><li>Act as subject matter expert for advanced email skillsets (e.g., data, execution processes, platforms, suppliers/agencies).</li><li>Manage project initiatives as assigned (e.g., temporary resources, supplier/agency reviews, platform upgrades, client initiatives, cross-channel strategy).</li><li>Manage file selection and segmentation of channel marketing campaigns and facilitate accurate execution of “file only” requests.</li><li>Collaborate with client marketers on optimal design, creative, and segmentation to drive email touchpoints, assisting clients with the agency creative process and legal approval.</li><li>Work within designated email platforms to build and launch email marketing campaigns, adopting AI features to streamline build processes and improve campaign effectiveness.</li><li>Audits high complexity and/or flagged campaigns, including approving campaign requirements.</li><li>Shares campaign performance metrics back to client teams and account managers for continuous campaign improvement.</li><li>Investigate, develop, and champion pilot strategies for next-generation channel optimization.</li><li>Ensure all campaigns meet required campaign documentation requirements.</li><li>Drive advancement and adoption of responsive design for mobile optimization.</li><li>Ensure adherence to purchase order and invoice management procedures.</li><li>Drive continued adoption and consistent usage of Performance Marketing process tools by team and clients, including compliance with records retention.</li><li>Perform other duties and/or special projects as assigned, with a focus on exploring and integrating AI-driven innovations to improve overall marketing operations.</li></ul> Requirements: <ul><li>Bachelor’s degree with overall 5+ years of experience with the financial services industry or Marketing or Digital experience; In lieu of degree overall 7+ years of experience with the financial services industry or Marketing or Digital experience</li><li>Minimum 5+ Years of email with hands-on experience of building and deploying commercial emails leveraging Agile methodology</li><li>Minimum 5+ years of experience with the enterprise email service platform: Zeta (Athena, Workflow Automation, Channel path optimization, Experience Builder, Propensity &amp; Moment scoring, etc)</li><li>5+ years of experience working with US stakeholders and cross-functional teams</li><li>Exposure to project management tool: COSMOS Workfront (or) MRM (or) Jira (or) ProofHub etc.</li><li>Strong project management skills, attention to detail, and ability to work under tight deadlines</li><li>Proficient with Microsoft Office Suite including Outlook, Word, Excel, and PowerPoint</li><li>Strong Change Management skills - effective communicator, good at holding "crucial conversations" with clients and internal partners</li><li>Strong written &amp; verbal communication skills</li><li>Good team player</li></ul>

Responsibilities:&nbsp; <ul><li>Support the implementation and enhancement of Enterprise Datahub using Databricks, ensuring seamless integration with existing BI and ERP systems.</li><li>Support complex BI and data platform initiatives while maintaining quality, delivery timelines, and alignment with organizational goals.</li><li>Collaborate with business stakeholders, architects, developers, and analysts to translate requirements into solutions.</li><li>Design, implement, test, and optimize moderately complex data pipelines, ETL/ELT flows, semantic layers, and report solutions with the development team.</li><li>Apply technical knowledge and AI-driven optimization opportunities to improve data quality, validation, reliability, and operational efficiency across supported solutions.</li><li>Develop new and impactful ideas, approaches, and automation opportunities that improve the platform, processes, and user experience.</li><li>Communicates moderately complex information clearly, accurately, and in a timely manner, adapting the message to the audience.</li></ul> Requirements: <ul><li>Degree in Business Informatics, Information Technology, Data Engineering/Analytics, Engineering, or a related field.</li><li>Proven experience in data engineering, application support, BI analytics, or related technical roles.</li><li>Strong expertise in Databricks, GitHub, dbt, ETL, Tableau, Power BI, and SQL.</li><li>Familiarity with Generative AI tools (e.g., Copilot, LLM-based assistants) to enhance productivity, development, and documentation.</li><li>Ability to analyze moderately complex problems independently and drive resolution with minimal supervision.</li><li>Strong stakeholder management, teamwork, and clear written and verbal communication skills.</li><li>Experience contributing to technical improvements, process optimization, and operational quality.Proficiency in English, both written and spoken.</li></ul>

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Portfolio Marketing Manager - Commercial HVAC Solutions

Software Engineer – Ag & Trade

Enterprise Analytics – Machine Learning Ops/AI Projects (VP1)

Inheritance Tax Writer

Global AI Legislation Content Optimisation Lead

Consultant Infrastructure & Operations (SAM)

Project Manager PMO II

VP, Engineering Manager

AVP, Channel Marketing

Senior IT Engineer

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66 ai ml frameworks Jobs found

Portfolio Marketing Manager - Commercial HVAC Solutions

Software Engineer – Ag & Trade

Enterprise Analytics – Machine Learning Ops/AI Projects (VP1)

Inheritance Tax Writer

Global AI Legislation Content Optimisation Lead

Consultant Infrastructure & Operations (SAM)

Project Manager PMO II

VP, Engineering Manager

AVP, Channel Marketing

Senior IT Engineer

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.