Sales Engineer (EU) About Doodle Labs Doodle Labs is a fast-growing technology company building high-performance wireless communications for the drone and unmanned systems ecosystem. Our technology enables reliable, high-bandwidth connectivity across airborne and mobile robotic platforms operating in complex environments. We partner directly with leading drone OEMs, robotics companies, and defense organizations to deliver advanced networking solutions that power the next generation of autonomous systems. Our mission is to make connectivity for autonomous machines as reliable and ubiquitous as the internet itself. About the Role The Sales Engineer (EU) plays a critical technical role supporting customer integration and adoption of Doodle Labs’ wireless networking products across the European region. In this role, you will work directly with leading drone and robotics OEMs to guide successful integration of Doodle Labs radios from initial technical evaluation through field testing and deployment. You will act as the primary technical advisor for customers, helping diagnose RF and networking challenges and ensuring reliable performance in operational environments. This role sits at the intersection of customer success, field engineering, and technical problem-solving within a fast-growing robotics and autonomy ecosystem. What You’ll Do - Manage 10–15 active customer integrations, guiding OEM partners through structured technical milestones - Support customer platforms through technical evaluation, integration, and field validation - Diagnose and resolve issues related to RF propagation, antenna systems, link budgets, and networking performance - Support UAV, UGV, and maritime robotics deployments through field testing and rapid troubleshooting - Capture integration learnings and share insights with engineering and product teams to strengthen future deployments - Maintain accurate documentation of customer engagements and opportunity progress within CRM systems such as HubSpot - Partner with sales, product, and engineering teams to support demonstrations, evaluations, and technical workshops - Build strong customer relationships through hands-on engagement during field testing and validation events What Success Looks Like - Successful integration of Doodle Labs radios into customer platforms across multiple robotics and autonomy programs - High technical win rates across active integration opportunities - Reliable support of customer field testing and validation milestones - Strong customer trust and recognition as a technical advisor - Clear CRM visibility and strong cross-functional alignment across active opportunities Who You Are - 3–7+ years of experience in a customer-facing technical role such as Sales Engineering, Solutions Engineering, Field Applications - Engineering, or Systems Integration - Strong hands-on understanding of RF propagation, antennas, and wireless networking technologies - Experience integrating radios into UAV or autonomous systems platforms including command-and-control and high-throughput data links - Familiarity with TCP/IP networking and system-level connectivity troubleshooting - Strong communication and problem-solving skills when working with customer engineering teams - Comfortable operating in field environments and fast-paced deployment scenarios - Highly accountable and motivated by solving real-world engineering challenges Preferred Qualifications - Familiarity with mesh networking or MANET systems - Experience with TCP/IP configuration and network troubleshooting - Experience supporting defense programs, defense primes, or DIU initiatives - Experience working with autonomy OEMs such as industrial drones, ground robotics, or maritime robotics platforms Why Join Doodle Labs - Work on cutting-edge technology powering the future of autonomous systems - Collaborate with engineers and innovators building industry-leading connectivity solutions - Work directly with leading robotics and drone OEMs across the European region - Play a hands-on role supporting real-world deployments of autonomous systems Travel Expectations This role requires up to 50% travel for customer integrations, field testing, demonstrations, and technical workshops.

• Développer et fidéliser un portefeuille de clients distributeurs • Être l’interlocuteur privilégié des distributeurs • Élaborer et négocier les offres commerciales • Promouvoir la marque auprès du réseau de distribution

• Develop and deliver engaging demonstrations of Salesforce Data Cloud, Agentforce, and other AI tools, integrated into other enterprise applications, illustrating their capabilities in driving business outcomes. • Design and prototype cutting edge AI-powered use cases, demonstrating innovative applications to improve customer engagement and service efficiency. • Provide strategic pre-sales technical guidance on data architectures, addressing client needs for data ingestion, integration, & real-time analytics. • Serve as a trusted technical advisor to customers and partners, building strong relationships with their technical counterparts and stakeholders. • Conduct proof of concepts and technical workshops, showcasing the potential of AI and data-driven solutions to transform client operations. • Collaborate with the sales team and marketing team to develop targeted packages and strategies that leverage Data Cloud and AI solutions to drive revenue.

Role Description Jr. Enterprise Solutions Engineers are part problem solvers and part architect, developing expertise across solution, product, data, and audience. They operate in close partnership with our sales, client partners, solutions strategy, product, and delivery teams to help translate client business goals into a scalable technical vision, with a particular emphasis on data. They focus on creating value for businesses by helping to uncover root-cause pain points and technical blockers, supporting the design of scalable data and mar-tech solutions that solve for measurable ROI. This is an early-career role built for growth. You'll work alongside expert and principal solutions engineers, owning a real and expanding set of responsibilities from day one while learning the craft of enterprise solutions engineering. What You'll Own - Collaborating with expert and principal solutions engineers to uncover technical and business requirements for clients, analyzing challenges, and translating them into effective solutions. - Responsibilities include capturing and synthesizing discovery notes, requirements, and client inputs into clear, usable documentation for the broader solutions team. - Producing first-draft materials for RFPs/RFIs, client presentations, and solution narratives. - Building demos and proof points that showcase Acxiom's capabilities and bring solutions to life. - Conducting client, competitive, and market research to inform solution design and positioning. - Maintaining solution documentation and keeping deal and solution artifacts organized and current. - Applying AI tools to accelerate your research, content creation, and day-to-day workflows, and sharing what works with the team. What You'll Learn - Acxiom's data and identity offerings: Build deep fluency in our audiences, data products, identity resolution, and clean-room capabilities, and learn to map the right solutions to client use cases. - Capability and capacity assessment: Learn to determine whether Acxiom has the data and identity capability to solve a given client challenge. - Enterprise discovery: Learn to run and facilitate discovery sessions, diagnose root-cause pain points, and gather business and technical requirements that align cross-functional teams before a solution is presented. - Solution design: Learn to translate client challenges into scalable, best-practice-aligned data and mar-tech solutions that fit Acxiom and partner capabilities. - Technical storytelling: Learn to translate complex technical concepts into clear, outcome-based narratives and to tailor messaging to different stakeholder levels. - Applied AI in solutions engineering: Build practical fluency in applying AI tools to discovery, solution design, and deliverable creation, and stay current on emerging AI capabilities relevant to data, mar-tech, and identity. Qualifications - Bachelor's degree with 2+ years' experience in Martech, Adtech, or a data-focused role (e.g., data analyst, data engineer, sales engineer, or similar). - Any reference to years of experience should be disregarded in the UK. - Foundational understanding of data concepts such as data pipelines, customer data platforms, identity resolution, or analytics. - Comfort with AI tools and a demonstrated interest in applying them to everyday work. - Understanding of pre-sales mechanics and how deal strategy, pricing inputs, and the RFP/RFI process work on new logo and up-sell opportunities. - Strong problem-solving instincts and the ability to grasp complex challenges and weigh feasibility, risk, and value. - Clear communication and the ability to explain complex concepts in simple, outcome-focused terms. - A collaborative, transparent working style that builds trust across sales, account management, delivery, and strategic advisory teams. - A growth mindset and genuine curiosity about emerging trends in data, mar-tech, AI, identity, and privacy. - Ownership and accountability: you make timely, objective decisions within scope and take responsibility for your work and results. Primary Location City/State Homebased - Conway, Arkansas Additional Locations Acxiom is an equal opportunity employer, including disability and protected veteran status (EOE/Vet/Disabled) and does not discriminate in recruiting, hiring, training, promotion or other employment of associates or the awarding of subcontracts because of a person's race, color, sex, age, religion, national origin, protected veteran, military status, physical or mental disability, sexual orientation, gender identity or expression, genetics or other protected status. Attention California Applicants: Please see our CCPA/CPRA Privacy Act notice here. Attention Colorado, California, Connecticut, Maryland, Nevada, New Jersey, New York City, Ohio, Rhode Island, and Washington Applicants: This position is not located in the aforementioned locations but applications for remote work may be considered. For information about this role under state or local equal pay or pay transparency laws, please contact recruit@acxiom.com .