• Design and implement data integration solutions across enterprise systems and cloud data platforms (e.g., Oracle, Snowflake, AWS, Azure). • Extend existing physical data models into logical and semantic data models that support analytics and AI use cases. • Partner with data owners and CDAO technical staff to define, design, and refine enterprise data products, including domains, schemas, interfaces, SLAs, and consumption patterns. • Collaborate with the team to translate enterprise architecture standards and data governance guidelines into implementable models (logical, physical, domain) and integration patterns. • Work closely with Data Engineers to ensure pipelines are aligned to target logical, physical, domain, and semantic models. • Develop, implement, and maintain dimensional, relational, and domain-driven data product models and databases using the IDERA /Embarcadero suite of products. • Ensure assets are optimized for performance, scalability, and AI-readiness within scalable cloud-native data platforms. • Collaborate with data owners and CDAO technical staff to develop and maintain Leidos data protection and data privacy policies governing data use. • Collaborate with CDAO technical staff to develop and maintain the IDERA / Embarcadero repository and portal data objects. • Support metadata registration and governance alignment within Collibra. • Implement data integration patterns including batch, streaming, API-based, and event-driven architectures. • Participate in data quality and validation processes to ensure trusted, production-ready data products. • Contribute to documentation, standards, and modeling best practices.

• Provide sales support to the Construction Solutions Executives to facilitate new construction sales, maintenance and servicing of new and existing construction customers. • Partners with geographically aligned Construction Solutions Executives to provide day-to-day sales support and effective sales coverage. • Provides sales support to major customers in the construction sales vertical to improve customer satisfaction and customer loyalty. • Develops ongoing relationship with key customers to enhance partnership and drive future sales opportunities. • Coordinates customer requests for sales quotes, service requests, and job status updates; schedules service requests and other services or requests as needed. • Performs outbound demand generation activities into construction accounts in coordination with Inside Sales Leadership and Construction Solutions Executives. • Responds to customer inquiries on varying subjects in a timely manner; coordinates customer service needs with Business Unit operations and dispatch teams. • Assists with billing related situations such as obtaining credit and reviewing collection reporting to coordinate with the credit and collections department. • Ensures the timely and accurate completion of reporting to ensure that all entries have been properly recorded and all transactions have been accurately reconciled. • Reviews and summarizes issues on accounts being put “on lock” or being canceled for sales partners; addresses outstanding items and other important topics of which the Sales personnel should be aware. • Reviews reports on a regular basis with leadership including customer reporting, month end and mid-month sales reporting, and Sales Transaction Report (STR) net temporary transactions reports. • Produces management reports, reconciles outstanding items on such reports, and/or enters client activity within the Company’s Salesforce CRM Tool. • Accountable for meeting or exceeding performance metrics identified by Inside Sales and Customer Experience and Sales leadership around customer experience, sales activity, and sales revenue.

Qdrant just closed a $50M Series B to build the retrieval infrastructure layer for modern AI. Our vector search engine, written in Rust, runs in production at engineering teams inside Canva, HubSpot, Tripadvisor, Bosch, and Deutsche Telekom. We're growing our European field team and looking for a Solutioins Engineer who wants to get into the room (or the call) where real AI infrastructure decisions get made. This is a key role on a technical field team. You'll work closely with senior engineers and account executives, learn how enterprise AI systems are designed and sold, and own technical engagements with customers. Tasks - Support technical evaluations and proof-of-concept builds alongside senior Solutions Engineers and Account Executives, helping prospects test Qdrant against their real workloads. - Build demo environments, sample integrations, and reference architectures that showcase Qdrant's performance advantages in RAG pipelines, semantic search, and agentic systems. - Respond to technical questions from prospective customers, translating infrastructure requirements into working solutions. - Learn the competitive landscape across vector search and AI infrastructure, and contribute to battlecards, technical guides, and internal knowledge bases. - Represent Qdrant in online communities, developer forums, and European tech events as you build your own technical presence. - Work directly with our product and engineering teams to surface customer feedback that shapes the roadmap. Requirements What We're Looking For - 1 to 3 years of experience in software engineering, data engineering, solutions engineering, or a closely related technical role - Comfortable writing and reading code (Python required; experience with other languages is a plus) - Genuine curiosity about AI infrastructure: you've built something with LLMs, embeddings, or vector search, even if just as a side project - Strong communicator in English, written and verbal. You can explain a technical tradeoff clearly to someone who wasn't in the room when it was made - Self-directed: you're comfortable figuring things out, asking good questions, and closing your own knowledge gaps without waiting to be told - Based in Europe and available to work within European business hours Nice to Have - Exposure to vector search, approximate nearest neighbor algorithms, or semantic retrieval - Experience with data pipelines, cloud infrastructure, or distributed systems - Familiarity with RAG, agentic AI frameworks (LangChain, LlamaIndex, CrewAI), or embedding models - Background in a customer-facing technical role (support engineering, developer advocacy, technical writing) Benefits - Equity with meaningful upside in a well-capitalized, fast-scaling company - Medical, dental, and vision coverage - Hardware budget: choose your own setup - Annual learning and conference budget - Flexible hours, async-friendly culture, and regular team offsites

Who we are: Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. For the first time ever, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet related spend in a single system. Combined with industry leading AI, the Motive platform gives you complete visibility and control, and significantly reduces manual workloads by automating and simplifying tasks. Motive serves nearly 100,000 customers – from Fortune 500 enterprises to small businesses – across a wide range of industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector. Visit gomotive.com to learn more. About the Role: As a Senior Manager of Strategic Solutions Engineering, you will lead and support a high-impact team of Solutions Engineers partnering with Strategic Account Directors to drive revenue growth through deep technical expertise, differentiated solution design, and value-based selling. Reporting to the Director of Strategic Solutions Engineering, you’ll cultivate a collaborative, customer-obsessed team culture grounded in clarity, operational rigor, and mastery of Motive’s platform. What You'll Do: - Lead, mentor, and develop a team of Strategic Enterprise-focused Solutions Engineers supporting discovery, executive-level presentations, complex demos, proof-of-concepts/trials, and multi-threaded solution design. - Ensure the delivery of compelling, customized demonstrations aligned to Strategic Enterprise buyer pain points, business outcomes, and technical sophistication across diverse stakeholder groups. - Drive operational excellence in our proof-of-concept and technical evaluation workflows, ensuring consistency, quality, and scalability across large, complex accounts. - Act as a trusted technical and strategic advisor—internally and externally—on Motive’s capabilities, architecture, integrations, security, and future roadmap. - Collaborate with Account Directors to craft persuasive responses to technical evaluations, RFPs, RFIs, and security reviews. - Partner cross-functionally with Product, Engineering, Customer Success, and Product Marketing to ensure tight communication loops, efficient escalation paths, and informed roadmap feedback. - Lead and support team-wide initiatives and cross-functional projects that elevate technical excellence, improve sales effectiveness, and increase customer impact across the Strategic segment. - Support deal strategy, objection handling, competitive positioning, and executive alignment throughout long, multi-stage Strategic Enterprise sales cycles. - Partner with Business Value Services to reinforce ROI, TCO, and measurable business outcomes for senior stakeholders. - Stay informed on competitive trends, emerging technologies, and the evolving needs of Enterprise customers to guide enablement and strategic execution. What We're Looking For: - 5+ years of pre-sales leadership experience supporting Enterprise or Strategic accounts within SaaS or complex technology environments. - Bachelor’s degree preferred; Master’s degree a plus. - Proven background as an individual contributor Solutions Engineer — or similar — with a record of success in complex technical selling. - Strong understanding of value-based selling frameworks such as MEDDIC, MEDDPICC, Command of the Message, or similar, along with SE-specific methodologies like Demo2Win or Great Demo!. - Demonstrated ability to lead teams supporting long, multi-threaded Enterprise sales cycles with multiple technical and executive stakeholders. - Experience with integrations, cloud architectures, APIs, hardware/IoT, and emerging technologies such as AI/ML is strongly preferred. - Strong organizational and team leadership skills with a focus on coaching, scaling, and navigating large, cross-functional efforts. - Excellent verbal and written communication skills, with the ability to influence executive stakeholders and collaborate across internal teams. Pay Transparency Your compensation may be based on several factors, including education, work experience, and certifications. For certain roles, total compensation may include restricted stock units. Motive offers benefits including health, pharmacy, optical and dental care benefits, paid time off, sick time off, short term and long term disability coverage, life insurance as well as 401k contribution (all benefits are subject to eligibility requirements). Learn more about our benefits by visiting Motive Perks & Benefits. The compensation range for this position will depend on where you reside. For this role, the on-target earnings (base pay + commissions) are: United States $208,000—$270,000 USD Creating a diverse and inclusive workplace is one of Motive's core values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives. Please review our Candidate Privacy Notice here. UK Candidate Privacy Notice here. The applicant must be authorized to receive and access those commodities and technologies controlled under U.S. Export Administration Regulations. It is Motive's policy to require that employees be authorized to receive access to Motive products and technology.