This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Our client is looking for a Solutions Engineer to join a high-performing, customer-obsessed team where technical depth, commercial awareness, and a genuine desire to help customers succeed are the foundation of everything they do. As a Solutions Engineer, you will be the primary technical partner and trusted advisor for enterprise prospects and customers across your assigned territory. Owning the technical outcome, you will partner closely with Account Executives to drive and win complex sales cycles. This role is deliberately built for strategic advisors who help customers understand what becomes possible with AI-powered commerce, and who build enough trust and technical conviction to secure the commitment. What You’ll Do - Own the Technical Win - Lead technical discovery to deeply understand customer business challenges, technology stack, and strategic priorities before any solution is proposed. - Define and achieve the technical close in GTM motions — ensuring all material technical objections are resolved, integration feasibility is confirmed, and customer technical stakeholders are fully confident before the deal moves to commercial stage. - Engage with CIOs, CTOs, Heads of Digital, and eCommerce leaders as a credible, peer-level advisor. - Build and Run Pre-Sales Engagements - Lead and deliver product demos, proof-of-concepts, and workshops tailored to the specific business priorities of each customer. - Shape complex eCommerce solution architectures, including integration mapping across cloud platforms, payment rails, omnichannel systems, and API-first environments. - Develop and present executive-level value articulation: translating technical capabilities into business outcomes (conversion uplift, checkout abandonment reduction, personalised discovery, operational efficiency). - Lead technical responses to RFPs and security questionnaires. - Be the Bridge to Product and Engineering - Log customer objections, feature gaps, and competitive differentiators as structured product feedback. - Provide post-engagement feedback on what landed, what didn’t, and what demo assets or solution plays are needed. - Stay current on AI and commerce technology trends — conversational AI, LLM integration, agentic commerce, payment rails, omnichannel fulfilment — and bring that knowledge into customer conversations. Qualifications - Discovery instinct: The best SEs listen more than they talk. - Technical credibility: Not the deepest engineer in the room, but credible enough that a CTO trusts your judgment. - Business acumen: Connect the technical conversation to business outcomes. - Communication and presence: Own a room and simplify complex ideas. Requirements - 8+ years in solutions engineering, technical pre-sales, solution architecture, or enterprise technology consulting. - Experience working within commerce, retail, payments, or digital experience platforms strongly preferred. - Strong technical foundation across cloud architectures, SaaS and API-first platforms, data and AI/ML (LLMs a plus), payments and checkout systems, and omnichannel retail integrations. - Comfortable presenting to both technical and non-technical executive audiences. - Willingness to travel within your region (up to 30%). Compensation - This role offers two salary bands based on experience level: - $110,000 – $160,000 base salary. - $130,000 – $190,000 base salary. - Final compensation will be determined based on the candidate’s experience, skills, and qualifications. - Variable compensation: approximately 30%+ of base for OTE, uncapped. - Benefits: health, dental, and vision coverage. Why Our Client - Work at the forefront of agentic AI and commerce — a category that is being defined right now. - Join a publicly traded, global company with 600+ enterprise customers and significant growth ambition. - Partner with leading global retailers, brands, and payment providers on transformational initiatives. - Operate with the autonomy and ownership of a strategic contributor. - Competitive base salary, variable compensation tied to deal outcomes, and benefits. - A collaborative, high-performance culture where technical people are respected as commercial peers. Equal Opportunity Our client is committed to equal employment opportunity for all employees and to providing a work environment free of discrimination and harassment. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, colour, religion or belief, sex, sexual orientation, gender identity, national origin, veteran or disability status, family or parental status, or any other status protected by applicable law. They encourage applicants of all ages and backgrounds.

• Work closely with clients to understand their business goals around implementing AI technologies, present sustainable and achievable technical solutions, and adjust strategies based on feedback. • Guide and mentor engineering teams with your AI expertise, both internally to Livefront and externally with the client, by setting technical standards, conducting code reviews, and contributing to product vision. • Engage in technical spikes to explore new technologies and methods. • Lead the design of robust architectures tailored to client needs and implement these solutions hands-on, ensuring scalability and maintainability. • Design, develop, and integrate APIs, data pipelines, and end-to-end infrastructure that ensure seamless communication between systems. Help optimize performance and enable AI models to be useful, scalable, and maintainable. • Adapt your skills across diverse projects, including API design, real-time technical support, and DevOps, demonstrating versatility and responsiveness to varied client needs. • Collaborate cross-functionally, streamlining communication between backend teams, frontend teams, designers, and other team members.

• Work closely with clients to understand their business goals around implementing AI technologies, present sustainable and achievable technical solutions, and adjust strategies based on feedback. • Guide and mentor engineering teams with your AI expertise, both internally to Livefront and externally with the client, by setting technical standards, conducting code reviews, and contributing to product vision. • Engage in technical spikes to explore new technologies and methods. • Lead the design of robust architectures tailored to client needs and implement these solutions hands-on, ensuring scalability and maintainability. • Design, develop, and integrate APIs, data pipelines, and end-to-end infrastructure that ensure seamless communication between systems. Help optimize performance and enable AI models to be useful, scalable, and maintainable. • Adapt your skills across diverse projects, including API design, real-time technical support, and DevOps, demonstrating versatility and responsiveness to varied client needs. • Collaborate cross-functionally, streamlining communication between backend teams, frontend teams, designers, and other team members.

• Work closely with clients to understand their business goals around implementing AI technologies, present sustainable and achievable technical solutions, and adjust strategies based on feedback. • Guide and mentor engineering teams with your AI expertise, both internally to Livefront and externally with the client, by setting technical standards, conducting code reviews, and contributing to product vision. • Engage in technical spikes to explore new technologies and methods. • Lead the design of robust architectures tailored to client needs and implement these solutions hands-on, ensuring scalability and maintainability. • Design, develop, and integrate APIs, data pipelines, and end-to-end infrastructure that ensure seamless communication between systems. Help optimize performance and enable AI models to be useful, scalable, and maintainable. • Adapt your skills across diverse projects, including API design, real-time technical support, and DevOps, demonstrating versatility and responsiveness to varied client needs. • Collaborate cross-functionally, streamlining communication between backend teams, frontend teams, designers, and other team members.