Technical Solutions Strategist

Accountabilities:
The Technical Solutions Strategist will own the technical consulting journey throughout enterprise sales engagements, helping customers identify opportunities, design solutions, and understand the business impact of adopting new technologies. Lead deep discovery sessions with business and technical stakeholders to uncover operational challenges, key use cases, and opportunities for value creation. Translate customer needs into tailored solution designs, technical architectures, demonstrations, and proof-of-concept strategies. Analyze customer technology environments, including OMS, WMS, TMS, POS systems, APIs, integrations, and data workflows, to define effective solution approaches. Own the sales engineering process from initial discovery through demos, trials, technical validation, and customer decision-making. Build compelling business cases by modeling ROI, quantifying operational impact, and presenting recommendations to senior executives. Act as a trusted technical advisor by guiding customers through complex decisions and recommending scalable solutions. Evaluate and apply emerging AI models, agent capabilities, and product innovations to solve customer challenges. Develop repeatable discovery frameworks, solution methodologies, demos, and value narratives to improve team effectiveness. Collaborate with sales, product, and engineering teams to communicate customer insights and influence product improvements. Support go-to-market teams by sharing technical learnings, customer patterns, and successful solution approaches. Balance technical depth with business strategy to create solutions that address both operational requirements and financial objectives. Requirements: The ideal candidate has experience in enterprise technical consulting, solutions engineering, or related customer-facing technical roles, with the ability to connect technology solutions to measurable business outcomes. 4–6 years of experience in solutions engineering, presales, technical account management, technical program management, or similar technical customer-facing roles. Proven experience managing complex enterprise opportunities from discovery through successful closure. Strong discovery skills with the ability to identify underlying business challenges beyond initial customer requests. Experience facilitating structured workshops to define requirements, use cases, and success criteria. Hands-on experience using AI tools and experimenting with emerging AI technologies to solve practical business problems. Strong understanding of APIs, webhooks, system integrations, enterprise architecture, and data flows. Experience designing technical solutions for complex operational environments. Strong financial and analytical skills, including experience creating ROI models and business cases. Ability to communicate effectively with both technical teams and executive stakeholders. Strong presentation, storytelling, and relationship-building skills. Comfortable working independently in a fast-paced, evolving environment. Experience in value engineering, management consulting, enterprise AI implementations, logistics, delivery, supply chain, or similar industries is a plus. Benefits: Competitive base salary with variable compensation aligned with market-leading SaaS opportunities. Equity opportunity within a fast-growing, venture-backed organization. Health, dental, and vision insurance coverage. 401(k) retirement benefits. Flexible paid time off policy. Remote-first work environment with flexibility to work from anywhere in the United States. Opportunity to influence the growth of a new solutions consulting function. Exposure to cutting-edge AI technologies and enterprise transformation initiatives. Collaborative culture with opportunities for professional growth and impact.

How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
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