• Partner with Public Sector Account Executives to shape deal strategy, drive discovery conversations, and deliver high-impact demonstrations that influence executive-level decisions • Showcase Motive’s value by tailoring demos that resonate across technical, operational, and business audiences — positioning yourself as a trusted advisor to customers • Translate complex customer challenges into clear, compelling solutions that deliver measurable business outcomes • Develop deep expertise in the competitive landscape, playing a key role in winning strategic displacement opportunities • Establish yourself as a product authority — mastering today’s platform while shaping conversations around future innovations • Collaborate on RFIs and RFPs to position Motive as the partner of choice for Enterprise organizations • Act as a visible connector between Sales and cross-functional teams (Product, Engineering, Customer Success, Marketing), ensuring customer insights fuel continuous improvement and innovation

• Work closely with customers and internal teams to understand, scope, and build customized software solutions for Okendo’s e-commerce merchants. • Become a highly knowledgeable product and integration expert and work directly as an engineer to build and deliver technical solutions. • Support the sales and expansion teams by providing technical product expertise (API, Onboarding, security, customer data). • Support the success team as the technical SME by answering questions and designing solutions regarding custom functionality, custom reporting, data migration, enterprise plan development, and escalated support tickets. • Collaborate with tech and agency partners to evaluate, scope, and develop custom functionality for 3rd-party tech integrations. • Develop and maintain an in-depth understanding of Okendo’s products, code base, and integrations through internal training and independent research. • Partner with prospects and customers to gather technical requirements in order to recommend solutions that address their needs. • Build relationships with key customer stakeholders by serving as a technical liaison from pre-sales to post-sales. • Collaborate with the Product and Engineering teams, communicating customer feedback, product bugs, and gaps, and building custom solutions for strategic accounts.

• Solution Leadership: Lead the end-to-end architectural design and technical strategy for complex open-source AI solutions, from initial concept to deployment and optimization. • Client Engagement: Act as a primary technical point of contact for clients, understanding their business challenges, identifying opportunities for AI innovation, and effectively communicating technical concepts to both technical and non-technical stakeholders. • Technical Advisory: Provide expert guidance and recommendations on open-source AI frameworks, libraries, tools, and platforms (e.g., PyTorch, JAX, Kubeflow, Ray, MCP and relevant open-source LLMs etc). • Architecture Definition: Develop comprehensive architectural blueprints, including data pipelines, model training and deployment strategies, MLOps practices, security considerations, and integration patterns. • Pre-Sales Support: Collaborate with the sales and business development teams to articulate OpenTeams' capabilities, present technical solutions, and contribute to proposals and statements of work. • Thought Leadership: Stay abreast of the latest advancements in open-source AI, contribute to technical blogs, whitepapers, and presentations, and represent OpenTeams at industry conferences and events. • Community Engagement: Actively participate in and contribute to relevant open-source projects and communities surrounding AI & ML. • Risk Management: Identify and mitigate technical risks throughout the project lifecycle.

• Design and implement customer-facing prototypes and lighthouse implementations to validate high-value AI and integration use cases. • Lead strategic workshops and technical deep dives with customers and field teams, especially for agentic AI workflows and complex integrations. • Turn validated customer work into reusable assets: reference architectures, blueprints, accelerators, and repeatable patterns. • Serve as the deep technical owner for agentic system design, including tool use, orchestration, and multi-agent patterns. • Design and maintain complex integration architectures across enterprise platforms and data systems. • Ground GTM positioning and storytelling in validated technical proof points, supporting high-impact moments like executive demos and analyst briefings.