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.

Role Description 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 Solutions 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. - 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. Qualifications - 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. Requirements - 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. Company Description Qdrant is powering the next generation of AI applications with advanced, high-performant vector similarity search technology. Our flagship product is the leading open-source Vector Search Engine.

• Collaborate strategically with Account Executives to enhance the technical aspects of the sales process. • Work directly with technical contacts from our customers and prospective customers to provide bespoke support and architect solutions. • Craft compelling technical demonstrations that clearly communicate our product's value proposition. • Create technical enablement resources that amplify our sales team's effectiveness and technical fluency. • Build self-service tools and documentation that empower customers to implement solutions independently. • Identify opportunities to productize common integration patterns or features, and work with our product teams to make these real!

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level. Our Solution Engineering organization is seeking an AI/ML specialist to join our Solutions Engineering team, while supporting ourHealthcare & Life Sciences sector. We are looking for someone who can provide AI/ML technical guidance, while working with both technical and business executives in the design and architecture of the Snowflake Cloud Data Platform as a critical component of their enterprise data architecture and overall ecosystem. In this role you will work directly with the sales and solution engineering teams and with our customers to understand the AI/ML needs of the customer, strategize on how to navigate winning sales cycles, provide compelling value-based demonstrations, support enterprise Proof of Concepts, and ultimately close business. You will leverage your technical expertise, best practices and reference architectures highlighting Snowflake’s Data Platform capabilities across data ingestion, transformation, and lakehouse workloads. You are equally comfortable in both a business and technical context, interacting with executives and talking shop with technical audiences. IN THIS ROLE YOU WILL GET TO: - Apply your multi-cloud data architecture and AI/ML expertise while presenting Snowflake technology and vision to executives and technical contributors at strategic prospects, customers, and partners - Work hands-on with prospects and customers to demonstrate and communicate the value of Snowflake technology throughout the sales cycle, from demo to proof of concept to design and implementation, in support of our customer-aligned solution engineers. - Immerse yourself in the ever-evolving industry, maintaining a deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in relation to them - Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing around AI/ML features and capabilities. ON DAY ONE, WE WILL EXPECT YOU TO HAVE: - 5 - 10+ years of data engineering experience within the Enterprise Data space - 5+ years experience working with AI/ML technologies - Outstanding presentation skills to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos. - Ability to connect a customer’s specific business problems and Snowflake’s solutions - Ability to do deep discovery of customer’s architecture framework and connect those with Snowflake Data Architecture. - Broad range of experience within large-scale Database and/or Data Warehouse technology, ETL, analytics and cloud technologies. For example, Data Lake, Data Mesh, Data Fabric - Hands on Development experience with technologies such as SQL, Python, Pandas, Spark, PySpark, Hadoop, Hive and any other Big data technologies - Deep experience in AI/ML tools, services and architectures in the enterprise technology space. - Clear understanding of data integration services and tools for building ETL and ELT data pipelines such as Apache NiFi, Matillion, Fivetran, Qlik, or Informatica. - Familiarity with streaming technologies (ex. Kafka, Flink, Spark Streaming, Kinesis) and real-time or near real time use cases (ex. CDC) - Experience designing interoperable data lakehouse architectures and experience working with Iceberg, Delta, and Parquet - Strong architectural expertise in data engineering to confidently present and demo to business executives and technical audiences, and effectively handle any impromptu questions - Bachelor’s Degree required, computer science, engineering, mathematics or related fields, or equivalent experience preferred Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com The following represents the expected range of compensation for this role: - This role is eligible to participate in Snowflake's commission plan and it is common for employees in this role to receive total on-target earnings of $252,000 - $330,750. The estimated base salary for this role is $189,000 - $248,062. - Additionally, this role is eligible to participate in Snowflake’s equity plan. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits. To comply with pay transparency requirements and other statutes, you can notify us if you believe that a job posting is not compliant by completing this form.