HERE Technologies

What's the role? You will shape the platform that enables how HERE products are delivered, configured, and consumed at scale. This is not about building maps. It is about building the platform behind them. In this role you operate at the intersection of platform and product, acting as the bridge between Automotive, Maps and Services, and Enterprise teams. You define how capabilities such as authentication, entitlements, billing, and usage scale across millions of requests and vehicles. You will work on systems that decide what a customer can access, what they need to purchase, and how products are configured. From enabling an automotive customer to activate navigation features, to ensuring platform scalability for millions of vehicles, your work directly impacts how HERE products are used in the real world. - Define and own platform requirements across Automotive, Maps and Services, and Enterprise - Translate domain needs into clear product artefacts including PRDs, epics, and user stories - Shape capabilities around authentication, entitlements, billing, and usage tracking - Drive platform solutions that support millions of requests and large scale automotive deployments - Enable reuse and standardisation across products instead of one off solutions - Align stakeholders across multiple product and engineering teams without direct authority - Partner with engineering, architecture, and program teams to ensure delivery feasibility - Define roadmap priorities and drive rollout of new platform capabilities Who are you? You are a senior product manager who thrives in complex environments with many stakeholders. You bring clarity where others see ambiguity and know how to move things forward without creating unnecessary friction. You enjoy connecting teams, building relationships, and influencing outcomes. You understand both the product and technical side, and you know how to balance long term platform vision with immediate delivery needs. - 10+ years of experience in product management within automotive, mapping, or platform products - Strong understanding of automotive ecosystems, OEM environments, or location based platforms - Experience working with large scale platforms, APIs, or distributed systems - Proven track record of owning and driving complex product requirements across teams - Strong communication and stakeholder management skills - Experience working in international and cross functional environments Nice to have: - Experience with developer platforms, authentication, or API products - Familiarity with billing, licensing, or entitlement systems - Exposure to AI driven products or data platforms - Experience working with automotive portals or customer facing platform interfaces What we offer? - 25 days of annual leave plus additional company days - Time off between Christmas and New Year - Flexible mobility options including full public transport or travel allowance - Company car or allowance for eligible roles - Strong pension plan with employer contribution - Monthly net healthcare allowance - Collective insurance coverage including disability and accident insurance - Dutch language courses for international employees - Bicycle scheme with tax benefits - Discounted gym membership and employee discounts Who are we? Ever checked in somewhere on social media, tracked an online order, or used navigation while driving? Then you have likely interacted with HERE Technologies. Our platform powers location based services across industries including automotive, logistics, and mobility. Within Compute Foundation, you will work on the building blocks that power how our products are delivered and consumed. From enabling automotive customers to configure vehicle features, to enforcing licensing and usage at scale, this team provides the foundation that connects products, data, and customers. Closing As part of HERE Technologies employment process, candidates will be required to successfully complete a pre employment screening process. This offer and any related claims are subject to the successful completion of a pre employment screening. This will involve employment, education, and criminal verification if applicable. HERE is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, age, gender identity, sexual orientation, marital status, parental status, religion, sex, national origin, disability, veteran status, and other legally protected characteristics. #LI-TW2 At HERE we take it upon ourselves to be the change we wish to see. We create solutions that fuel innovation, provide opportunity and foster inclusion to improve people's lives. If you are inspired by an open world and driven to create positive change, join us. Learn more about us. Watch Video

Role Description We are hiring a Senior Software Engineer to build AI platform and production systems that support advanced computer vision, perception, simulation, and mapping products. This person will own the pipelines, orchestration, APIs, deployment patterns, and operational tooling that turn technically ambitious ideas into durable internal and production systems. This is a senior role for someone who can build practical infrastructure today while laying foundations that remain useful across multiple AI-driven products over time. What You Will Own - Own critical parts of the AI platform and orchestration stack - Build artifact handoff, workflow control, and service interfaces across research and production systems - Manage metadata, storage, run tracking, reproducibility, deployment, and operational reliability across the workflow - Create internal and product-facing interfaces used to launch, monitor, and retrieve AI jobs and outputs - Keep systems simple, reliable, observable, scalable, and cost-aware from prototype through production What You Will Do - Build command-line tools, batch jobs, internal services, and APIs for AI pipeline execution - Define packaging and storage conventions for model inputs, outputs, metadata, and logs - Set up cloud-based inference and data-processing execution and evolve it toward production deployment patterns - Implement job status tracking, error handling, observability, security, and operational controls - Partner with data scientists and simulation engineers to reduce iteration friction across the team - Help design production architecture for scaling usage, managing cost, and serving downstream consumers Qualifications - Strong software engineering background in backend systems, data pipelines, ML platforms, distributed workflows, or production services - Experience with Python services, cloud infrastructure, APIs, and artifact-oriented pipelines - Familiarity with AWS compute, storage, batch-processing, and deployment patterns - Good systems judgment: able to build the minimum durable platform without overengineering while still planning for production realities - Comfortable operating in a small team where speed and clarity matter Requirements - Master’s or PhD in Computer Science, AI, Machine Learning, or related field - 3-5 years of experience in deep learning, computer vision, or multimodal AI Nice To Have - Experience supporting GPU inference workloads, large-model deployment pipelines, perception platforms, or media-generation systems - Familiarity with experiment tracking, dataset versioning, MLOps workflows, or production observability practices - Experience with internal APIs, asynchronous job systems, security controls, or media-processing pipelines Benefits - Health (Medical/Dental/Vision) insurance - Retirement savings plans - Paid time off & leave policies Company Description HERE Technologies is a location data and technology platform company. We empower our customers to achieve better outcomes – from helping a city manage its infrastructure or a business optimize its assets to guiding drivers to their destination safely. At HERE we take it upon ourselves to be the change we wish to see. We create solutions that fuel innovation, provide opportunity and foster inclusion to improve people’s lives. If you are inspired by an open world and driven to create positive change, join us. Learn more about us on our YouTube Channel.

Role Description The Director, Enterprise Architecture plays a pivotal role within HERE’s Compute Foundation organization, leading the definition and evolution of enterprise-wide architectural strategy that underpins our AI ambitions and Enterprise business goals. This role oversees a small team of Enterprise Architects responsible for shaping coherent architectures across cloud platforms, developer enablement, corporate and employee applications as well as AI capabilities across these areas. The Director ensures that HERE’s technology landscape advances in a way that offloads complexity from engineering teams and employees, enabling them to move faster, while maintaining architectural consistency, reusability, and cost efficiency across horizontals. The EA team partners with Solution Architects, Software Architects, and engineering teams who design and implement project-specific solutions using these patterns, ensuring consistency and faster execution at scale. This role owns enterprise reference architectures, standards, and guardrails for AI capabilities across cloud platforms, developer enablement, corporate/employee applications, and shared services. The role defines and governs the end-to-end AI/GenAI lifecycle—including LLMOps/MLOps, evaluation, observability, and model/prompt/version controls—so AI systems are production-ready and measurable. A core focus of this role is enabling HERE’s AI journey—ensuring that AI, data platforms, and automation are architected, governed, and operationalized to deliver measurable improvements in productivity, reliability, and customer value for both HERE customers and internal teams. Qualifications - 15+ years of related experience with a Bachelor’s degree; or 12+ years and a Master’s degree; or a PhD with 8+ years experience; or equivalent experience. - Leading AI transformation and evolving Enterprise Architecture into a high impact function. - Defining and executing enterprise-scale architecture strategies. - Strong background in cloud platforms, distributed systems, DevOps, and platform engineering. - Demonstrated leadership in AI/ML and Generative AI architectures, including governance and responsible AI practices. - Experience working closely with product management, engineering, security, finance, and operations. - Ability to influence senior technical and business leaders through clear, pragmatic, and outcome-focused architecture. - Experience operating in large-scale, global, multi-product environments. Requirements - Lead, coach, and develop a high-performing Enterprise Architecture team aligned to HERE’s platform and product strategy. - Establish Enterprise Architecture as a strategic partner to Engineering, Product Management, and Platform Engineering leadership. - Contribute to the advancement of architectural and technical leadership practices across HERE R&D. - Define and maintain enterprise architecture vision, principles, standards, and target-state roadmaps. - Ensure architectural alignment across Compute Foundation services, platform components, and product-facing capabilities. - Drive architectural consistency across developer platforms, shared services, APIs, and internal tooling. - Support use of cloud-native, platform-oriented, and service-based architectures. - Own enterprise reference architectures, standards, and guardrails for platform and AI capabilities. - Lead architectural strategy for AI/ML and Generative AI across HERE. - Define reference architectures and reusable patterns for AI-enabled workflows, agentic systems, and automation. - Establish patterns for agent orchestration, tool access governance, human-in-the-loop controls, auditability, and security protections. - Define and govern the end-to-end AI/GenAI lifecycle. - Partner with FinOps to define cost attribution and budgets for AI workloads. - Define the EA engagement model, decision thresholds, and governance routes. - Chair or actively participate in architecture review boards and technical governance forums. - Define and track key metrics such as platform and service adoption, architecture health, AI utilization, and cost efficiency. Benefits - The expected base salary range for this position is $195,000 to $270,000 per year. - Actual compensation will be based on skills, experience, and other relevant factors. - This role is also eligible for a target annual performance bonus, based on company and individual performance. - Life at HERE includes a comprehensive benefits package designed to support your health and well-being, including: - Medical, dental, and vision insurance. - Retirement savings plans. - Paid time off and leave programs.

• Take ownership of how we validate and scale the quality of HERE’s HD map products • Work at the intersection of data, automation, and product, shaping how large scale geospatial systems are tested and trusted • Drive modern testing approaches, build automation first validation frameworks • Partner closely with engineering, data science, and product teams to ensure our maps perform reliably in real world conditions • Define and drive test strategies for HD map products, including content validation and hybrid testing approaches • Translate product and data specifications into scalable validation frameworks • Design and execute test plans, test cases, and data pipelines for product level validation • Build and maintain automation driven testing frameworks for large scale data validation • Collaborate with Data Science teams to integrate metric driven and machine learning validation signals • Partner with Engineering, Product, and Program teams to align validation with release priorities • Analyse results, identify gaps, and drive continuous improvement in testing approaches • Contribute to tooling, infrastructure, and automation to increase efficiency and coverage

What's the role? We are hiring a Principal Data Scientist to lead advanced generative AI and computer vision work across simulation-grounded visual systems, structured-control generation, and production-oriented AI products. This person will help define and build model capabilities that sit at the intersection of generative modeling, scene understanding, controllability, and applied computer vision. This is a senior technical role for someone who can move from early research ambiguity to production-quality model systems while maintaining a high bar for technical depth, rigor, and practical value. This role is intended for someone who can own a major technical pillar, set direction for that domain, and raise the standard for how advanced AI systems are built and shipped. What You Will Own - Own the model strategy and technical direction for advanced generative and multimodal vision systems - Set the research and engineering agenda for model adaptation, evaluation, and production readiness within this domain - Define how model inputs, controls, outputs, and interfaces are represented and integrated into downstream systems - Improve realism, controllability, temporal consistency, robustness, and deployment readiness over time - Work closely with evaluation, simulation, and platform engineers to define durable interfaces between research systems and production workflows - Drive model benchmarking, ablation studies, model-selection decisions, and the path from pre-trained baselines to production-ready capability - Raise the bar for technical quality, architecture, and execution within the model stack What You Will Do - Build and evolve end-to-end model workflows for complex vision and generative AI systems - Identify and reduce failure modes such as structural drift, temporal instability, inconsistent outputs, and production fragility - Define the fine-tuning, adaptation, or hybrid-model strategy when pre-trained models do not meet product requirements out of the box - Partner with the evaluation lead to establish quality metrics, release gates, and production-readiness criteria - Help shape the roadmap from initial prototypes to scalable AI capabilities across perception, generation, and related vision tasks - Contribute to deployment decisions around model packaging, inference optimization, and production performance tradeoffs - Mentor other scientists and act as the senior technical owner for the model domain Who are you? What We Are Looking For: - Deep experience in generative modeling for video, world models, diffusion models, multimodal systems, or adjacent advanced vision domains - Evidence of principal-level scope through technical leadership, research impact, architectural ownership, or shipped systems - Strong background in PyTorch and modern model training, fine-tuning, evaluation, and inference workflows - Experience adapting large pre-trained models to domain-specific use cases and hard production constraints - Good judgment on model quality, controllability, reliability, and deployment tradeoffs - Ability to work across research and engineering boundaries in a small, hands-on team Education & Experience - Master's or PhD in Computer Science, AI, Machine Learning, or related field. - 10+ years of experience in deep learning, computer vision, or multimodal AI. Nice To Have - Experience with synthetic data, robotics, perception systems, geospatial AI, autonomous systems, or advanced mapping products - Familiarity with conditioning mechanisms, structured control inputs, simulation-grounded models, or controllable generation - Experience running large-model inference, optimization, or fine-tuning on AWS GPU infrastructure - Experience taking research models into production environments The expected base salary range for this position is $195,000 to $210,000 per year. Actual compensation will be based on factors such as skills and experience. This position is also eligible for an annual performance bonus, which is subject to company and individual performance. Life at HERE comes with generous benefits to support your health and overall wellness. Benefits available to US-based HERE employees include health (Medical/Dental/Vision) insurance, retirement savings plans, paid time off & leave policies . As part of HERE Technologies employment process, candidates will be required to successfully complete a background verification process. Offers of employment and any related claims are subject to the successful completion of a background verification. Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, HERE will consider for employment qualified applicants with arrest and conviction records. HERE is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, age, gender identity, sexual orientation, marital status, parental status, religion, sex, national origin, disability, veteran status, and other legally protected characteristics. Under Section 503 of the Rehabilitation Act of 1973 and VEVRAA, we have developed an affirmative action program (AAP) for individuals with disabilities and protected veterans. Portions of the AAP are available for review by applicants and employees through our People Team. #LI-REMOTE Who are we? HERE Technologies is a location data and technology platform company. We empower our customers to achieve better outcomes - from helping a city manage its infrastructure or a business optimize its assets to guiding drivers to their destination safely. At HERE we take it upon ourselves to be the change we wish to see. We create solutions that fuel innovation, provide opportunity and foster inclusion to improve people's lives. If you are inspired by an open world and driven to create positive change, join us. Learn more about us on our YouTube Channel.

• Own the evaluation framework and quality strategy for advanced AI and vision systems • Define pass/fail metrics for output quality, structural fidelity, temporal consistency, label quality, robustness, and operational repeatability • Own data and validation strategy for improving model quality and downstream usefulness • Lead artifact auditing, failure taxonomy development, release-quality reporting, and evidence-based prioritization • Measure whether outputs are suitable for perception, mapping, generative AI, and customer-facing use cases • Partner with model, simulation, and platform owners to drive quality improvements and production-readiness decisions • Build and evolve metric suites for output quality, fidelity, repeatability, and downstream usefulness • Define human-review protocols and product acceptance thresholds for complex AI systems • Evaluate whether outputs preserve the structure, semantics, and consistency expected by downstream applications • Translate evaluation findings into data strategy, experiment priorities, and applied modeling opportunities • Help define dataset design, validation slices, and quality-improvement loops across the product • Create experiment and release reports that turn technical output into clear product decisions • Help prioritize what the team should fix next based on evidence rather than intuition • Establish evaluation foundations that remain useful across future AI, perception, and mapping capabilities

• Drive the technical direction for map-grounded world foundation models: how we condition generative video and world models using map data, drive data, and scenario semantics. • Train, fine-tune, and adapt generative models (diffusion, latent video, transformer-based world models) for driving scenario generation, including domain adaptation, controllability, and conditioning on structured inputs (maps, trajectories, agent behaviours, weather, lighting). • Evaluate and extend state-of-the-art foundation models such as NVIDIA Cosmos / Cosmos-Transfer and comparable open-source world models, assessing fit for AV training data generation. • Own the full ML lifecycle end-to-end: data curation, model training, evaluation, iteration, and the path to production-grade pipelines. • Lead proof-of-concept initiatives demonstrating map-grounded synthetic scenario generation with key technology partners. • Define measurable success criteria that go beyond visual realism — focusing on ML training data utility, controllability, and sim-to-real transfer. • Deliver POC outcomes with clear GO / PIVOT / NO-GO recommendations backed by quantitative evidence. • Bridge generative world models with classical simulation stacks (CARLA, NVIDIA Drive Sim, AlpaSim) where structured, physics-grounded scenarios are needed. • Author and programmatically generate OpenSCENARIO / OpenDRIVE definitions that feed both classical simulators and generative pipelines. • Drive sim-to-real strategy: measure domain gap, identify failure modes, and define acceptable thresholds for downstream model training. • Define what 'good enough' synthetic data means for AV perception and planning: when is photorealism required, when is label consistency sufficient, when does controllability matter most? • Establish validation frameworks combining objective metrics (distribution coverage, label accuracy, FID-style measures, downstream task performance) with expert evaluation protocols. • Specify sensor fidelity requirements: noise models, lens distortion, lidar return characteristics — and how generative models should or should not reproduce them. • Interface with ML research teams on generative model architecture, controllability, and conditioning strategies. • Collaborate with perception and planning teams to ensure synthetic data measurably improves real-world model performance. • Translate business requirements into technical feasibility assessments for product and executive stakeholders.

What's the role? The Senior Data Scientist is responsible for developing map test designs and metrics, sampling designs, Machine learning models, data and computing tools, and other analytics centered on Map and Location quality requirements - Build innovative solutions to measure Map Quality using Machine Learning (including Predictive analytics) and Statistical methods - Be a Subject Matter Expert (SME) on statistical and experimental design methods for Map and Location quality testing processes - Develop sampling plans to perform map quality evaluation, and to create training data for building ML models - Define & implement statistical quality metrics - Design and develop data and computing tools to enable processing of data data and results - Collaborate with internal and external stakeholders - Interact with external customers to discuss use cases, quality methods and metrics and make presentations - Be a Subject Matter Expert (SME) for Map quality testing methods and metrics - Develop and ensure end-to-end design and implementation of quality testing processes, including test design, sampling plans, data collection, quality evaluation, data and computing systems, machine learning models, and metrics. - Engage with other HERE stakeholders to understand business and customer expectations (before engaging in designing test process), and also present work Who are you? - Master's Degree or PhD in Statistics / Data Science / Mathematics / Computer Science / Quality Management Systems - Minimum 5 years of related work experience - Proficiency in Machine Learning concepts and techniques (including classification /predictive analytics techniques) - Proficiency in sampling methods and estimation - Proficiency in Python and/or R - Proficiency in SQL - Experience with understanding, specifying, and explaining measurement and analytic systems to other data scientists, engineers, and non-technical colleagues - Excellent oral and written communication skills. Experience interacting with both internal and external customers, and making presentations - Strong problem-solving and critical thinking abilities - Team player with collaboration skills - Excellent leadership skills - Organized, detail-oriented, effective in multi-tasking - Project Management skills Nice to have: - Experience with using GIS (Geographic Information System) tools for spatial data analysis - Knowledge and experience in Quality management, End-to-End quality test strategy and Six Sigma What do we offer? - Work on on globally deployed automotive navigation and mapping products - Collaboration with an experienced, international engineering organization - Truly international team of fantastic & talented people from 60+ countries worldwide, working from strong tech hubs located in Europe, the US, and Asia, along with multiple smaller locations - Flexible working hours & a flexible approach to office vs. remote work - Medical coverage for you and your family - Yearly variable bonus Life at HERE in Poland comes with a competitive total rewards package designed to support your health, wellbeing, and performance. This includes a base salary, a Short-Term Incentive (STI) bonus (percentage based on role), a creative tax advantage for eligible positions, private medical care (including dental), life insurance, a meal allowance, vision reimbursement, a remote work allowance (if applicable), access to MyBenefit and Multisport programs, and various wellbeing initiatives. Paid time off, sick leave, and parental leave are provided in accordance with the Polish Labor Code. Who are we? HERE Technologies is a location data and technology platform company. We empower our customers to achieve better outcomes - from helping a city manage its infrastructure or a business optimize its assets to guiding drivers to their destination safely. At HERE we take it upon ourselves to be the change we wish to see. We create solutions that fuel innovation, provide opportunity and foster inclusion to improve people's lives. If you are inspired by an open world and driven to create positive change, join us. Learn more about us on our YouTube Channel . Change is HERE. Apply Now. #LI-NK3 #LI-REMOTE As part of HERE Technologies employment process, candidates will be required to successfully complete a pre-employment screening process. This offer and any related claims are subject to the successful completion of a pre-employment screening. This will involve employment, education, and criminal verification if applicable. HERE is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, age, gender identity, sexual orientation, marital status, parental status, religion, sex, national origin, disability, veteran status, and other legally protected characteristics.

What's the role? We are seeking a Community & Data Acquisition Analyst I (Mexico) to support the identification, engagement, and growth of data communities across Latin America. This role combines data operations with community intelligence: you will proactively research, validate, and acquire geospatial and structured datasets from diverse sources, while building relationships with contributors, partners, and digital communities in the region. The ideal candidate is highly tech-savvy, curious, and comfortable navigating ambiguity capable of working with CRM systems, dashboards, and data pipelines while translating community interactions into actionable data assets. You will collaborate cross-functionally, document workflows, and ensure data quality, leveraging tools such as Jira, SugarCRM, and the Microsoft Office suite to manage operations, track requirements, and communicate insights. Effectively, the Data Acquisition & Community Analyst I is responsible for• Executing on the sub-regional data acquisition and community strategy in the defined area of focus.• Development and maintenance of a predefined pipeline of DAC opportunities per given priorities and per management guidance within a territory to support defined HERE products and services requirements within scope, budget, timeframe and quality criteria.• Support the delivery of unplanned, on-demand acquisition and crowdsourcing needs within the sub-region per tasks given.• Development of good knowledge and local footprint to promote HERE externally. Main responsibilities: 1. Develops a good understanding of the data market for a defined country to support GPP team building relationship with local players within the data market. 2. Support the team's ambition to develop and maintain a healthy pipeline of data opportunities for the area of responsibility that may also supports the supply liquidity of the HERE Marketplace. 3. Executes the data acquisition and community plan for the respective area of responsibility to meet the scope, budget, timeframe, and quality requirements of HERE Products and Services. 4. Supports the team's ambition to develop and maintain HERE brand awareness in the market. 5. Based on area of focus, provides local data market insights and feedback to internal stakeholders via line management. 6. Supports the team in their data acquisition and community activities when required. Who are you? You bring: - Strong analytical thinking and problem-solving skills with a high attention to data quality. - Ability to work effectively in fast-paced, multicultural environments. - Proactive mindset with a commitment to continuous learning and improvement. - Experience managing multiple stakeholders and translating business needs into structured data initiatives. - Fluency in Spanish and English (required); Portuguese (Brazil) is a strong plus. - Experience working with CRM tools and customer data. - Familiarity with Agile methodologies and tools such as Jira. - Experience with data handling, validation, analytics, and reporting. - Ability to stay organized and manage multiple priorities while delivering accurate results. HERE is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, age, gender identity, sexual orientation, marital status, parental status, religion, sex, national origin, disability, veteran status, and other legally protected characteristics. Who are we? HERE Technologies is a location data and technology platform company. We empower our customers to achieve better outcomes - from helping a city manage its infrastructure or a business optimize its assets to guiding drivers to their destination safely. At HERE we take it upon ourselves to be the change we wish to see. We create solutions that fuel innovation, provide opportunity and foster inclusion to improve people's lives. If you are inspired by an open world and driven to create positive change, join us. Learn more about us on our YouTube Channel.

• Define and own the technical architecture and long-term strategy for GIS data pipelines, processing systems, and geospatial platforms • Support Solution Architects and Engineering on all spatial data related aspects – data formats, modeling, projections, specifications, validations – to enable customer-centric solutions • Lead cross-team and cross-product GIS data engineering initiatives from conception through delivery • Drive the evaluation, selection, and adoption of new tools, technologies, and platform capabilities (e.g., ArcGIS Pro, ArcGIS Enterprise, FME Form, cloud GIS platforms) • Establish and enforce data engineering standards, architecture patterns, and best practices across the discipline; roll out new processes and drive buy-in from internal and external stakeholders at the right level • Act as the primary technical reviewer and decision-maker for complex design questions, data model changes, and platform integrations • Independently identify improvement and innovation opportunities and drive them into the organization, managing resistance and escalating for higher-level support when needed • Establish and manage cross-functional networks of SMEs to support customer data projects and facilitate bi-directional regional-to-global knowledge exchange • Mentor and coach engineers at Grade 7 and Grade 8, accelerating their growth and technical depth • Ensure scalability, reliability, and compliance of geospatial data products across all formats and delivery pipelines