Autofleet

Are you ready to shape the future of intelligent transportation technology? Join Autofleet as a Group Lead within our growing engineering teams. This pivotal role requires combining a strong technical vision with organizational leadership. You will define the technical direction for a critical domain, lead a global group of fullstack teams, and ensure we build scalable, high-performance systems that power real-time fleet optimization worldwide. This is a unique opportunity to influence both technology and people at scale within a rapidly growing global company. Key Responsibilities: Technical Vision & Architecture Ownership • Ability to roll up your sleeves and get into the details and be hands on where needed. • Define and drive the architectural strategy, as well as ensuring systems are built for long-term performance, scalability, reliability, and maintainability. • Lead complex, cross-functional system design initiatives, covering real-time workflows, large-scale data processing, and distributed services. • Establish and enforce engineering standards and best practices across development teams. Engineering Leadership • Lead, mentor, and foster continuous growth for a group of full-stack engineers, promoting a culture of ownership and engineering excellence. • Drive strategic organizational scaling through active involvement in the hiring process. • Build clear career development paths for team members. Strategic Delivery & Business Impact • Collaborate closely with Product Management and Business teams to define technical roadmaps, strategy, and ensure execution aligns with core company goals. • Work cross-departmentally with teams to deliver robust systems and exceptional user experiences. • Oversee the successful end-to-end delivery of large, complex, and cross-team initiatives. • Translate complex mobility and optimization challenges into robust, scalable technical solutions. Requirements • 5+ years of experience in engineering management, including managing team leads or senior engineers. • 10+ years of professional software development experience. • Proven track record of successfully leading large-scale, cross-team technical initiatives. • Proficient background in javascript/typescript, and strong knowledge in Node. • Experience in React- an advantage. • Proven track record leading teams that design, scale, and operate distributed, high-performance systems in complex production environments. • Demonstrated ability to translate complex, abstract business challenges into clear technical direction, scalable architecture, and execution plans delivered through engineering teams.

We are making the future of Mobility come to life starting today. At Autofleet we support the world's largest vehicle fleet operators and transportation providers to optimize existing operations and seamlessly launch new, dynamic business models - driving efficient operations and maximizing utilization. We are looking for a talented AI Applied Researcher to help us develop advanced AI solutions that will empower impactful projects. The Data Science team leads the AI research and innovation efforts of the company, and is focused on pushing AI boundaries to enhance the product and optimize processes. What You’ll Do • Enterprise AI Agent Development: Designing, building, and deploying AI agents that automate and augment high-value workflows across business functions • Agentic Architecture & Orchestration: Owning the end-to-end agent stack - from tool use, memory management, and multi-step planning to human-in-the-loop escalation patterns, guardrails and audit trails. • Evaluation & Continuous Improvement: Defining agent evaluation frameworks that measure task completion, accuracy, hallucination rates, latency, and business impact - then iterating on agent behavior based on real usage data and stakeholder feedback. • Collaborate with engineering teams to design, build, and maintain production pipelines. • Stay up to date with the latest developments in AI, machine learning, and related fields, focusing on LLMs, exploring how emerging technologies can be applied to improve products and services. Requirements • Master’s/Ph.D. in Computer Science, Electrical Engineering, Machine Learning, information systems engineering, or related field. • 3+ years of applied AI/ML experience with a focus on Generative AI, LLMs, and deep learning. • Depth in agentic system design, retrieval-augmented generation, context and tool engineering, and rigorous evaluation. • Familiarity with AI frameworks (e.g., HuggingFace Transformers, LangChain, scikit-learn, PyTorch) • Familiarity with embedding models and vector databases • Exceptional problem-solving, creative thinking, and analytical skills. • Experience with voice AI technologies, speech recognition, or text-to-speech systems - strong advantage.

We are making the future of Mobility come to life starting today. At Autofleet we support the world's largest vehicle fleet operators and transportation providers to optimize existing operations and seamlessly launch new, dynamic business models - driving efficient operations and maximizing utilization. We are looking for a talented AI Engineer to help us develop advanced AI solutions that will empower impactful projects. The Data Science team leads the AI research and innovation efforts of the company, and is focused on pushing AI boundaries to enhance the product and optimize processes. What You’ll Do • Enterprise AI Agent Development: Designing, building, and deploying AI agents that automate and augment high-value workflows across business functions • Agentic Architecture & Orchestration: Owning the end-to-end agent stack - from tool use, memory management, and multi-step planning to human-in-the-loop escalation patterns, guardrails and audit trails. • Evaluation & Continuous Improvement: Defining agent evaluation frameworks that measure task completion, accuracy, hallucination rates, latency, and business impact - then iterating on agent behavior based on real usage data and stakeholder feedback. • Implement integrations that allow agents to take automated actions on behalf of users, streamlining workflows and reducing overhead. • Collaborate with engineering teams to design, build, and maintain production pipelines. Requirements • Bachelor’s degree in Computer Science, Engineering, Mathematics, Physics, or a related quantitative discipline. • 5+ years of software engineering experience, with proven ability to build production-grade systems beyond research, experimentation, or prompt engineering. • Hands-on experience building and operating production-grade AI/LLM systems, ideally including agentic workflows, tool-calling, orchestration, evaluations, or multi-step reasoning systems. • Strong backend expertise, including Python, distributed systems, and cloud-native architecture. • Familiarity with the AI Agents ecosystem, including different LLM providers, vector store solutions, MCPs, A2A and more. • Familiarity with REST APIs and integrating external data sources.

At Autofleet, we’re powering the future of mobility by enabling the world’s largest fleet operators and transportation providers to optimize operations and launch new mobility services at scale. As we continue to grow globally, we are looking for an experienced, hands-on IT Manager to own and scale our internal IT operations, infrastructure, and employee technology experience. About the Role This is a highly impactful, sole-contributor role responsible for the day-to-day operation, reliability, and scalability of Autofleet’s IT environment across offices and remote employees globally. We are looking for someone who combines strong technical expertise with operational ownership and excellent service orientation. The ideal candidate has experience managing IT infrastructure, networking, endpoint management, SaaS administration, and vendor coordination in a fast-paced environment. This role will serve as the primary owner of internal IT operations and partner closely with Security, HR, Facilities, external vendors, and our counterparts at Element, our parent company, to ensure alignment across shared systems, infrastructure, and IT initiatives. Responsibilities IT Operations & Support • Own internal IT operations and employee technical support globally • Manage onboarding/offboarding processes, endpoint provisioning, and access management • Troubleshoot and resolve escalated hardware, software, connectivity, and infrastructure issues • Establish and improve IT processes, documentation, and support workflows Network & Infrastructure Management • Manage office network infrastructure, wireless environments, VPN connectivity, and related vendors • Troubleshoot network performance, connectivity, and reliability issues across office and remote environments • Partner with external providers on network architecture, escalations, and ongoing optimization • Support SaaS platforms, identity/access systems, and cloud-managed infrastructure Endpoint Management • Administer MDM and endpoint management platforms (e.g. Kandji) • Partner closely with Security team on endpoint compliance, VPN/SASE solutions, device security, and access controls • Help implement and maintain IT security best practices and operational policies Cross-Functional & Vendor Collaboration • Manage relationships with external IT vendors and service providers • Work closely with IT and Security stakeholders at Element to coordinate shared infrastructure, policies, escalations, and support processes • Lead IT improvement initiatives and infrastructure projects • Drive operational maturity, scalability, and reliability across the IT environment Requirements • 5+ years of experience in IT operations, systems administration, or internal IT infrastructure roles • Strong experience supporting macOS environments • Hands-on experience with: • Networking and wireless infrastructure • VPN/SASE technologies • MDM platforms (Kandji, Jamf, etc.) • SaaS administration and identity management • Endpoint security and IT operations best practices • Experience managing external IT vendors and escalations • Strong troubleshooting and problem-solving skills across systems, networking, and end-user environments • Excellent communication and stakeholder management skills • Ability to operate independently and take full ownership in a fast-paced environment Nice to Have • Experience in high-growth startup environments • Familiarity with Fortinet, Google Workspace, or Harmony SASE • Experience supporting hybrid/global teams

We are making the future of Mobility come to life starting today. At Autofleet we support the world’s largest vehicle fleet operators and transportation providers to optimize existing operations and seamlessly launch new, dynamic business models - driving efficient operations and maximizing utilization. At the heart of our platform lies the data infrastructure, driving advanced machine learning models and optimization algorithms. As the owner of data pipelines, you'll tackle diverse challenges spanning optimization, prediction, modeling, inference, transportation, and mapping. As a Senior Data Engineer, you will play a key role in owning and scaling the backend data infrastructure that powers our platform—supporting real-time optimization, advanced analytics, and machine learning applications. What You'll Do • Design, implement, and maintain robust, scalable data pipelines for batch and real-time processing using Spark, and other modern tools. • Own the backend data infrastructure, including ingestion, transformation, validation, and orchestration of large-scale datasets. • Leverage Google Cloud Platform (GCP) services to architect and operate scalable, secure, and cost-effective data solutions across the pipeline lifecycle. • Develop and optimize ETL/ELT workflows across multiple environments to support internal applications, analytics, and machine learning workflows. • Build and maintain data marts and data models with a focus on performance, data quality, and long-term maintainability. • Collaborate with cross-functional teams including development teams, product managers, and external stakeholders to understand and translate data requirements into scalable solutions. • Help drive architectural decisions around distributed data processing, pipeline reliability, and scalability. Requirements • 4+ years in backend data engineering or infrastructure-focused software development. • Proficient in Python, with experience building production-grade data services. • Solid understanding of SQL • Proven track record designing and operating scalable, low-latency data pipelines (batch and streaming). • Experience building and maintaining data platforms, including lakes, pipelines, and developer tooling. • Familiar with orchestration tools like Airflow, and modern CI/CD practices. • Comfortable working in cloud-native environments (AWS, GCP), including containerization (e.g., Docker, Kubernetes). • Bonus: Experience working with GCP • Bonus: Experience with data quality monitoring and alertingֿ • Bonus: Experience with Snowflake, DBT, Flink, Kafka • Bonus: Strong hands-on experience with Spark for distributed data processing at scale. • Degree in Computer Science, Engineering, or related field.