This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Solutions Engineer, Lifecycle Studio based in United States. As a Solutions Engineer, you will play a pivotal role in bringing an innovative lifecycle marketing platform to market, helping businesses transform how they create, orchestrate, and deliver customer communications. You will serve as the technical lead throughout the sales process, combining expertise in marketing technology, email infrastructure, and solution architecture to address complex customer challenges. Working closely with sales, product, engineering, and implementation teams, you will lead technical discovery, design tailored solutions, and guide prospects through pilots and evaluations. You will engage with lifecycle marketing leaders, CRM specialists, marketing operations teams, and data professionals to demonstrate measurable business value. As an early member of a growing team, you will help shape the product roadmap, competitive positioning, and technical sales strategy. This is an exciting opportunity to build foundational processes, explore AI-powered marketing workflows, and influence the growth of an evolving B2B SaaS solution. Accountabilities: Lead the technical sales cycle: Partner with sales, post-sales, and product teams to manage the technical aspects of customer opportunities, from initial discovery and solution design through product evaluation, validation, and deal closure. Conduct in-depth customer discovery: Understand existing lifecycle marketing workflows, including campaign briefs, audience segmentation, content creation, customer journeys, quality assurance, approvals, and message delivery. Identify current technology limitations and opportunities for improvement. Design migration and consolidation strategies: Develop practical approaches for migrating from existing email service providers (ESPs), including phased transitions, sending-volume allocation, journey and template migration, engagement-data synchronization, and decisions about which incumbent capabilities should remain in place. Advise on deliverability and messaging infrastructure: Guide customers on shared versus dedicated IP addresses, IP and domain warming, sending-volume strategies, seed testing, inbox placement, sender reputation, bounce and complaint management, feedback loops, and engagement diagnostics. Design and support technical pilots: Collaborate with forward-deployed and implementation teams to connect warehouse data, brand assets, and messaging templates. Demonstrate how AI-powered agents can generate campaigns, orchestrate customer journeys, and execute live sends against agreed success criteria. Translate business needs into technical solutions: Develop tailored demonstrations, solution architectures, and validation plans that address customer requirements while showcasing the platform's capabilities and business value. Influence product development: Serve as a key feedback channel between customers and product and engineering teams, identifying recurring challenges and translating insights from active sales opportunities into prioritized product improvements. Develop the technical sales playbook: Build reusable demo environments, discovery frameworks, migration guides, deliverability runbooks, request-for-proposal (RFP) response libraries, competitive positioning materials, and sales enablement resources. Enable broader sales teams: Train and support sales and solutions engineering colleagues as the product expands, helping them communicate its value and contribute to opportunities involving customer data platforms and AI-driven marketing solutions. Support go-to-market execution: Collaborate across teams to refine sales processes, strengthen competitive differentiation, and establish repeatable approaches for positioning and selling an emerging product category. Requirements: Relevant pre-sales experience: At least three years of experience in solutions engineering, solutions consulting, technical pre-sales, or a related role involving email service providers, cross-channel marketing platforms, customer engagement platforms, or marketing automation solutions. Experience as a practitioner, implementer, or technical consultant is relevant. Lifecycle marketing expertise: Understand how lifecycle marketing teams plan, build, test, and launch campaigns, including audience management, personalization, customer journeys, and multichannel messaging. Email and messaging deliverability: Have practical knowledge of deliverability fundamentals, IP and domain warming, sender reputation, inbox placement, bounce and complaint handling, and the operational considerations of SMS and push notifications. Content and template technologies: Be familiar with template and content management systems, including Liquid or Handlebars templating, HTML email development, dark-mode rendering, digital asset management platforms, and design tools such as Figma. Understand the quality assurance processes required to deliver consistent customer experiences. Consent and compliance: Understand outbound messaging consent requirements, including opt-in and opt-out management, preference centers, suppression lists, and relevant regulatory frameworks such as CAN-SPAM, The Campaign Registry (TCR), and GDPR. Marketing performance metrics: Be comfortable discussing open rates (OR), click-through rates (CTR), click-to-open rates (CTOR), bounce rates, unsubscribe rates, conversion rates (CVR), return on investment (ROI), and incrementality. Understand how campaign strategy, creative decisions, and experimentation influence these outcomes. Technical solution design: Be able to translate complex customer requirements into practical architectures, communicate technical trade-offs, and guide stakeholders through product validation and implementation planning. Communication and stakeholder management: Demonstrate excellent verbal and written communication skills, with the confidence to engage marketers, marketing operations professionals, data engineers, and compliance stakeholders in the same conversation. Entrepreneurial mindset: Thrive in an early-stage product environment where processes are evolving, priorities can change quickly, and you are expected to build solutions and playbooks from the ground up. Ownership and adaptability: Demonstrate intellectual curiosity, initiative, sound judgment, and the ability to operate independently while collaborating across multiple teams. Nice to have: Genuine interest in artificial intelligence and agentic workflows, particularly their applications in marketing automation and campaign execution. Familiarity with modern data ecosystems, including customer data platforms (CDPs), cloud data warehouses, SQL, data modelling, integrations, and APIs. Experience with value-based sales methodologies such as MEDDPICC, Command of the Message, or comparable frameworks. Experience launching a new product, establishing a new product category, or contributing to a high-growth B2B SaaS business during a period of rapid expansion. Experience developing technical enablement resources, repeatable sales processes, or implementation frameworks for emerging products. Benefits: Competitive compensation: Annual compensation ranging from USD $112,000 to $182,000, as advertised, with the overall package potentially including base salary, commission, and equity. Equity participation: Opportunity to receive equity as part of the compensation package. Commission opportunities: Performance-based commission potential aligned with the commercial nature of the role. Remote work: A remote position within North America, offering flexibility in where you work. Candidates based in United States are being considered for this opportunity. Founding-team impact: Opportunity to help establish the technical sales strategy, processes, and playbooks for an emerging product. Cross-functional collaboration: Work closely with sales, product, engineering, and implementation specialists to influence both customer outcomes and product development. Professional growth: Develop expertise across lifecycle marketing, deliverability, AI-powered workflows, solution architecture, and technical sales leadership. Strategic influence: Contribute directly to product direction, go-to-market execution, competitive positioning, and the evolution of a growing marketing technology solution.