Lead and execute global go‑to‑market strategies for Mindera’s enterprise technology services, driving commercial impact across multiple regions.
Locations (10)
Portugal
United Kingdom
United States
India
Romania
Brazil
Show all 10 locations
Morocco
Spain
Australia
Vietnam
Compensation
£50,000 - £60,000 per annum DOE
Responsibilities
Play an active, collaborative role in the global marketing team and support the various responsibilities the team has including regional support, content production, social media and reporting.
Integrate with the business development team to define key objectives and deliver high impact GTM work.
Develop the website as a commercial asset by upgrading structure, messaging, lead capture and conversion elements in collaboration with the website design and development teams.
Build case studies and client stories with account teams to discover key ideas for marketing campaigns, collateral production and new commercial website pages.
Manage, report and optimise paid advertising and outbound (email, LinkedIn, CRM, automation) strategies to develop effective ABM generation campaigns.
Account Manager role focused on leading specific tasks, collaborating with various teams, implementing processes, innovating, and managing responsibilities.
Direct/Manage everyday activity, plan and assign work ensuring you always have the right staffing numbers, and provide financial guidance in the formulation and implementation of Strategic Plan, Budget and KPO’s.
Responsibilities
Direct/Manage everyday activity, plan and assign work ensuring you always have the right staffing numbers
Develop your team and improve their performance through coaching and feedback
Train colleagues to make sure they deliver with compliance and to the standards we expect
Help create the department’s annual budget and the setting of departmental goals
Monitor budget and control expenses with a focus on food, beverage, and labour costs
Requirements
Bachelor’s degree in Accounting, Finance or related field
Lead the development of large-scale data infrastructure, simulation technologies, and validation frameworks to support the continuous improvement and safe deployment of autonomous driving systems.
Responsibilities
Own the technical vision and roadmap for end-to-end driving and behavior modeling
Build and run the large-scale training operation
Hire and lead team leads and engineers
Oversee progress across different teams with real technical depth
Decide on model readiness with the Safety & Evaluation lead
Requirements
M.S. or Ph.D. in computer science, machine learning, robotics or a related field
AI Engineer specializing in Neural Scene Reconstruction for autonomous driving simulation environments.
Responsibilities
Develop and improve neural scene reconstruction models using 3DGS, NeRF, and other learned 3D representations to reconstruct realistic driving environments.
Implement dynamic scene reconstruction techniques, modeling static environments and moving traffic agents while handling occlusions, incomplete observations, and challenging environmental conditions.
Develop neural rendering and novel-view synthesis methods to generate realistic camera observations from reconstructed 3D scenes.
Contribute to multimodal sensor rendering, including camera, LiDAR, and radar simulation, to support realistic virtual testing environments.
Build scalable reconstruction and rendering pipelines for efficient experimentation and large-scale processing of real-world driving datasets.
Requirements
Bachelor's or Master's degree in Computer Science, Computer Vision, Robotics, Electrical Engineering, or a related discipline, or equivalent practical experience.
Develop scalable data pipelines and automated workflows that transform raw sensor data and external map sources into reliable, high-quality maps for autonomous driving.
Responsibilities
Develop and maintain automated map production pipelines, covering data ingestion, alignment, map conflation, format conversion, validation, packaging, and release.
Build automated map validation tools to detect geometric inconsistencies, topology errors, connectivity issues, and missing or incorrect map attributes.
Develop scalable map storage and retrieval services, including map indexing, tile serving, lane-level queries, and APIs for autonomous driving applications.
Implement map format conversion and export tools, supporting industry-standard formats such as OpenDRIVE and Lanelet2 for simulation, planning, and evaluation.
Build robust data processing workflows for integrating vehicle sensor logs, HD maps, and third-party geospatial datasets.
Requirements
Bachelor's degree in Computer Science, Robotics, Software Engineering, or a related discipline
Master's degree in Computer Science, Robotics, Software Engineering, or a related discipline
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