Lead Solutions Engineer

Jobgether; United States; Hybrid; USD 132,000 - 189,000; Full time

Benefits offered by this job

Healthcare

Equity potential

Remote-friendly

Flexible work

Job summary

Jobgether’s partner seeks a Lead Solutions Engineer based in the United States. You will blend customer-facing tech expertise with hands-on solution building to show how an AI-enabled platform can deliver measurable business outcomes.

You’ll guide prospects from discovery through proof-of-concept experiences, working with sales, executives, and implementation partners to simplify complex environments and build confidence in proposed solutions.

Qualifications

• Experience in customer-facing solutions engineering or SaaS consulting.
• Ability to translate objectives into outcome-driven solution visions.
• Strong discovery, questioning and stakeholder feedback interpretation.
• Hands-on experience building AI-enabled solutions and proofs of concept.
• Deep understanding of APIs, integrations, and enterprise ecosystems.

Responsibilities

• Lead discovery sessions to uncover business challenges and outcomes.
• Create compelling demos showing AI-powered platform value.
• Partner with Account Execs to map buying committees and paths to purchase.
• Translate legacy systems into scalable architectures for integration.
• Design and rapidly build proofs of concept using AI tools.
• Conduct hands-on proof engagements addressing security and risks.
• Convert proofs into business cases, ROI models, and roadmaps.
• Present results to executives and stakeholders, building confidence.
• Collaborate with customers and partners to support deployment.
• Develop reusable technical resources and contribute to playbooks.
• Occasional travel to client locations for engagements.

Skills

Customer-facing solutions engineering

Discovery and storytelling

AI coding tools

APIs & integrations

Solution design & architecture

Executive stakeholder communication

Tools

AI coding tools

AI agents

Developer frameworks

ERP systems

Job description

This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Lead Solutions Engineer based in the United States.

Join a forward-thinking technical go-to-market team helping businesses navigate the next generation of AI-powered software purchasing. As a Lead Solutions Engineer, you will combine customer-facing technical expertise with hands-on solution building to demonstrate how an AI-enabled customer platform can deliver measurable business outcomes. You will guide prospects from discovery and solution design through practical proof-of-concept experiences that address their specific business challenges. Working closely with sales teams, executives, technical stakeholders, and implementation partners, you will help simplify complex technology environments and build confidence in proposed solutions. This role is ideal for a technologist who enjoys turning ambitious ideas into working solutions using AI tools and modern development frameworks. You will also help shape emerging sales methodologies, reusable technical assets, and future product direction. Success will be measured by your contribution to winning new customers and helping them achieve their initial business outcomes.

Accountabilities

• Lead customer discovery sessions to uncover business challenges, desired outcomes, technical requirements, and opportunities for improvement.
• Create compelling, outcome-focused demonstrations and product experiences that show how an AI-powered customer platform can transform business operations.
• Partner with Account Executives to understand technical buying committees, assess competitive environments, and develop effective paths toward purchasing decisions.
• Translate complex legacy systems into streamlined, scalable solution architectures that integrate with customers’ wider technology ecosystems.
• Design and rapidly build functional proofs of concept using AI coding tools, AI agents, and developer frameworks, with clear use cases, success criteria, and timelines.
• Conduct hands-on proof engagements with customers, incorporating feedback and addressing security, integration, and technical risks.
• Convert successful proofs into business cases, ROI models, use-case roadmaps, and consumption plans that support initial customer commitments.
• Present technical results and recommendations to executive stakeholders, building confidence in the proposed solution and its business value.
• Collaborate with customers and implementation partners to support deployment and ensure initial outcomes are achieved.
• Develop reusable technical resources, share field insights, and contribute feedback that informs internal playbooks and product development.
• Travel occasionally to customer locations to support discovery, demonstrations, proof engagements, and implementation activities.

Requirements

• Experience in a customer-facing solutions engineering, solutions architecture, technical consulting, or SaaS implementation role, with a demonstrated record of supporting complex deals or delivering solutions that improve business results.
• Strong discovery and storytelling capabilities, with the ability to translate customer objectives into compelling, outcome-driven solution visions.
• Skilled at uncovering unstated customer needs through thoughtful questioning, active listening, and interpreting stakeholder feedback.
• Hands-on experience rapidly building working solutions with AI coding tools, AI agents, and developer frameworks.
• Strong solution design and architecture capabilities, including experience simplifying complex legacy environments and integrating enterprise platforms.
• Deep understanding of APIs, integrations, and enterprise technology ecosystems, including systems such as ERP platforms, billing solutions, data warehouses, and AI tools.
• Business acumen to connect technical solutions with measurable outcomes, ROI models, use-case roadmaps, and consumption planning.
• Ability to influence executives and technical decision-makers, communicate complex concepts clearly, and equip internal champions to advocate for solutions.
• Strong collaboration and leadership skills, with the ability to coordinate effectively across sales teams, implementation partners, customers, and technical stakeholders.
• An ownership mindset, combining technical execution with a commitment to ensuring customers realize the intended value of their solutions.

Benefits

• Annual cash compensation range of $132,400-$189,100 USD, including base salary and applicable on-target commission or annual bonus targets.
• Potential eligibility for equity compensation through restricted stock units (RSUs), depending on role and compensation arrangements.
• Compensation packages tailored to individual skills, experience, qualifications, and other relevant factors.
• Access to a range of employee benefits and perks, including healthcare and other support programs.
• Flexible working arrangements, with opportunities to work remotely or from an office.
• Opportunities to build professional connections through team onboarding and in-person gatherings.
• Support for candidates requiring accommodations related to travel or other needs.
• Opportunities to contribute to an evolving technical go-to-market approach at the intersection of AI, customer solutions, and enterprise technology.