Senior Solutions Engineer

About Enlighten

At Enlighten, we believe AI should expand what people can take on. We build teams of AI agents alongside Fortune 500 companies so they can put their best thinking to work across the business. We want the people closest to the work to be able to ask hard questions and get answers they can trust. Our mission is to give every team the intelligence it needs to make decisions that shape the business.

About the role

You’ll help enterprise customers test the hardest architecture, integration, security, and data questions in their evaluations. Account Executives own technical discovery for their deals, and you’ll bring the specialist expertise to validate designs and explain what the evidence supports.

What you'll do

• Partner with the Account Executive on technical discovery when the evaluation needs deeper analysis of data sources, workflows, users, or measurement requirements.
• Agree on a validation plan with the customer and internal teams. Document the assumptions, inputs, owners, and evidence needed to make a decision.
• Build technical demos and test harnesses to answer architecture, integration, and security questions.
• Run multiple AI agents in parallel every day to analyze documentation, compare requirements, and draft technical responses. Build small tools to organize evidence, and check the results yourself.
• Coordinate customer reviews with product, security, data, and delivery. Explain what the tests showed and which decisions are still open to technical and business audiences.
• Share recurring customer questions and validation findings with product and commercial teams so they can act on what you learned.

What you bring

• Experience in solutions engineering, sales engineering, technical consulting, implementation, or a comparable customer-facing technical role.
• The ability to translate between business goals and technical realities without hiding uncertainty behind jargon.
• Strong discovery habits and a structured approach to requirements, assumptions, and validation evidence.
• Deep practical use of AI. You can direct multiple agents through research, drafting, comparison, and checking work, then verify the output yourself.
• Comfort creating small custom apps or workflows with agent assistance when they make technical evaluation faster, clearer, or more reliable.
• Sound judgment about security, data access, integration questions, and when a claim needs confirmation before it is shared.
• The initiative to find the right information, assemble a path forward, and move work ahead in an ambiguous environment.
• Experience with analytics, data platforms, digital measurement, or AI-enabled products; enterprise security or technical review; and customer data or business intelligence teams.
• You work independently. You can take an unclear goal, decide what to do first, find what you need, and carry the work through to a result. You bring people in early when a decision, risk, or dependency needs their input.

How we work

AI agents are core to how we get work done. You'll spend a substantial part of your day running multiple agents in parallel, building tools and workflows with them, and checking what they produce. You own the result. Verify the facts, calculations, code, and claims before they go into a decision, a customer conversation, or a release.

When working with clients, take initiative within the agreed goals, scope, access permissions, and review process. Bring options and recommendations, and involve the right people before changing a customer commitment or production workflow.

What success looks like

• Customer technical questions are organized into a credible validation path with clear owners and evidence.
• Demonstrations are relevant, understandable, and honest about what is proven versus still being evaluated.
• Commercial and product teams receive useful technical context early enough to act on it.
• AI-assisted technical work is reviewed, traceable, and improves the quality of customer decisions.

Compensation

Annual base salary is $150,000 to $180,000 USD. Target total cash compensation is $190,000 to $230,000 USD per year, including base salary and target incentive compensation.

Benefits

Eligible employees can enroll in medical, dental, and vision coverage.