• Engage directly with team members and leaders across every major business function to understand how work gets done today—what’s working, what’s not, and where the friction is. • Document end-to-end business processes with rigor and consistency, building a structured repository that becomes a lasting organizational asset. • Build a comprehensive use case catalogue that captures, categorizes, and prioritizes opportunities where AI and automation can drive real operational improvement. • Apply AI tools and large language models to analyze documented workflows, surface patterns, and develop preliminary solution concepts for high-priority opportunities. • Translate complex findings into clear, well-organized deliverables—written summaries, process maps, and recommendation briefs—for both technical and non-technical audiences. • Work directly with the Executive Director, COC/COI Systems and cross-functional partners to pressure-test assumptions, refine priorities, and align recommendations with organizational goals. • Stay sharp on the evolving AI landscape and bring informed perspectives on how new capabilities could apply to the problems you’re seeing.

• Co-creating and leading the new startup • Defining and validating the market opportunity within the B2B automation / AI agents space • Crafting the long-term vision and strategy of the company • Driving problem discovery and validation with potential customers • Shaping the product concept and defining the MVP • Leading the product development process in collaboration with engineering and AI teams • Designing the go-to-market strategy and initial sales approach • Stimulating revenue growth through sales strategies, partnerships, and market expansion • Building and leading a high-performing founding team • Monitoring technological and market trends related to AI, automation, and enterprise software • Managing the operational and financial aspects of the company • Representing the startup in discussions with investors and ecosystem partners

• Own the end-to-end lifecycle: problem framing → data readiness → modeling → deployment → monitoring → iteration • Define and execute roadmap areas like anomaly/event detection, asset/process health, root-cause support, optimization, and closed-loop decision support • Partner with industrial customers and SMEs to translate real process constraints into ML/optimization/decisioning solutions • Drive unsupervised/self-supervised initiatives • Lead and mentor DS talent, set processes, frameworks and quality standards • Build and deploy AI / ML solutions / models in production

• Develop and execute sales and marketing strategies to grow market share in the transportation and trucking sectors. • Lead marketing campaigns, drive brand awareness, and generate high-quality leads across digital and traditional channels. • Establish, nurture, and manage client relationships with fleet owners, logistics partners, and industry stakeholders. • Monitor and analyze industry trends, competitor activity, and market data to maximize opportunities. • Work closely with cross-functional teams for seamless service delivery and consistent customer satisfaction. • Build, manage, and expand a strong pipeline of prospective business clients using outbound and inbound strategies. • Identify new markets and segments for growth, introducing tailored solutions that meet customer needs. • Craft compelling sales presentations, proposals, and marketing materials for diverse audiences. • Track key metrics to evaluate campaign effectiveness, adjusting tactics to optimize ROI. • Represent the company at events and industry trade shows to enhance visibility and strengthen partnerships.