New opportunity

AI Solutions Engineer

Seven AI · Boston, United States

About this role

Seven AI seeks an AI Solutions Engineer to serve as the primary business and technical partner for customers deploying its AI platform across security workflows. The role owns post-sale customer outcomes, from onboarding through adoption, value realization and expansion readiness, working closely with Product, Engineering and Sales. As an early member of the customer experience organization, the engineer will help establish scalable delivery practices and bring customer insights into product planning.

Responsibilities

Lead customer onboarding, workflow alignment and operational enablement. Develop success plans, stakeholder maps, milestones and cross-functional workstreams; tailor solutions to support long-term use.
Maintain hands-on ownership of customer environments, including platform configuration, Skills and workflow creation, tuning and optimization. Monitor customer health and platform performance, and identify degradations or concerns.
Help customers mature security workflows and expand platform usage. Run status reviews, executive check-ins, QBRs and other customer discussions; manage risks, blockers and escalations, and provide initial technical guidance and education.
Translate demonstrated value and evolving business needs into adoption opportunities. Share customer feedback to inform platform improvements and roadmap priorities.

Requirements

5+ years in Technical Account Management, Consulting, Customer Success, Solutions Engineering, Implementation or a similar customer-facing role, with experience managing enterprise or strategic relationships in cybersecurity, AI or another complex technology environment.
Strong program management and stakeholder coordination; technical fluency with workflows, integrations, APIs, platform implementations and operational systems. Ability to explain technical concepts in business terms to practitioners and executives.
Demonstrated customer advocacy, onboarding and adoption success, change management, sound judgment under ambiguity, and strong written and verbal communication.

Preferred

Experience with AI, automation and security operations platforms, or in startup or high-growth environments.

The position is hybrid in Boston, MA. Listed compensation is $150K–$200K annually, with equity offered.

For full details about this role, click “Apply on company site” to view the employer’s original posting.

Skills for this role

Solutions EngineeringTechnical Account ManagementCustomer SuccessEnterprise Customer ManagementProgram ManagementStakeholder ManagementPlatform ConfigurationWorkflow CreationWorkflow OptimizationIntegrationsAPIsPlatform ImplementationTechnical EnablementCustomer OnboardingChange ManagementCustomer AdvocacyCybersecuritySecurity OperationsAIAutomationWritten CommunicationVerbal Communication

Checking your profile…

Preparation suggestions, not the employer’s actual interview questions. Always check the original posting for current requirements.

Understand the role

What matters most

Own post-sale outcomes
The role is accountable for onboarding, adoption, value realization and expansion readiness across customer accounts. Prepare an example of how you set success milestones, tracked outcomes and adjusted a plan when adoption lagged.
Make security workflows operational
The engineer leads workflow alignment and enablement while owning platform configuration, Skills and workflow creation, tuning and optimization. Prepare to explain technical implementation decisions alongside the operational outcome they supported.
Coordinate enterprise stakeholders
Success plans, stakeholder maps, cross-functional workstreams, status reviews, executive check-ins and QBRs are explicit duties. Prepare an example of keeping practitioners, executives and internal teams aligned around milestones and decisions.
Protect customer health
The role monitors platform performance, identifies degradations and serves as the first line for questions and escalations. Prepare to describe how you detected a concern, prioritized it, coordinated resolution and communicated its impact.
Turn customer insight into adoption and product input
The posting calls for expanding usage based on demonstrated value and sharing customer feedback with Product, Engineering and Sales. Prepare to distinguish a validated customer need from a feature request and explain how you conveyed both.

Likely challenges to think through

Balancing tailoring with repeatable delivery
Likely challenge, not a confirmed problem: as an early CX team member, you may need to tailor onboarding while helping establish practices that scale. Prepare an example that separates customer-specific decisions from reusable plans, milestones or enablement.
Resolving issues without losing strategic momentum
Likely challenge, not a confirmed problem: hands-on troubleshooting and escalations may compete with adoption and value-realization work. Prepare a prioritization approach that weighs customer impact and urgency, assigns owners and keeps stakeholders informed.
Connecting technical progress to executive value
Likely challenge, not a confirmed problem: practitioners may focus on workflow behavior while executives need measurable outcomes before broader adoption. Prepare to explain the same implementation through operational evidence and business impact, without assuming an expansion is warranted.

Practice your answers

Technical practice

How would you turn a customer's security workflow into an onboarding plan?

What to coverThe role leads workflow alignment, onboarding and operational enablement. Suggested preparation: explain how you would identify stakeholders, map the current workflow, agree on milestones and define what successful use would look like.

How would you assess an API integration during a platform implementation?

What to coverThe posting calls for technical fluency with integrations, APIs and operational systems, but names no specific interfaces. Suggested preparation: discuss data flow, access, error handling and how you would test the integration against the intended workflow.

How would you configure a customer environment and create a Skill or workflow?

What to coverHands-on platform configuration and Skills and workflow creation are stated duties; the posting does not define the platform's configuration model. Suggested preparation: describe how you would translate requirements into a configuration, validate it with practitioners and document the result.

How would you decide whether a deployed workflow needs tuning?

What to coverThe role includes ongoing tuning and optimization. Suggested preparation: explain how you would compare observed behavior with the customer's goal, test changes and weigh improvements against operational disruption.

How would you detect and investigate declining platform performance?

What to coverThe role calls for proactive monitoring of customer health and platform performance. Suggested preparation: distinguish a platform degradation from a change in customer usage, then explain what evidence you would gather before escalating or changing configuration.

How would you handle a technical question you cannot resolve immediately?

What to coverThe engineer is the first line of defense for customer questions and escalations, providing initial guidance and education. Suggested preparation: cover initial triage, clear communication of what is known, coordination with Engineering when needed and follow-through with the customer.

What would you evaluate before expanding AI-enabled automation in a security workflow?

What to coverThe role supports critical security workflows; experience with AI, automation and security operations platforms is preferred. Suggested preparation: discuss workflow fit, practitioner oversight and how you would assess results before recommending broader use, without assuming a particular product capability.

How would you demonstrate value and identify a sound expansion opportunity?

What to coverThe role owns value realization and expansion readiness based on evolving needs and demonstrated value. Suggested preparation: explain how you would agree on customer-relevant measures, review adoption and outcomes, and distinguish a validated need from usage growth alone.

How would you balance customer-specific configuration with repeatable delivery?

What to coverThe posting calls for tailored onboarding and for an early CX team member to help build a scalable operational foundation. Suggested preparation: explain which decisions you would standardize, where customer workflow differences warrant tailoring and how you would capture lessons for future implementations.

Behavioural practice

Tell me about a time you aligned stakeholders around a complex implementation.

What to coverThe role coordinates customer stakeholders, cross-functional workstreams and milestones. Suggested practice: use a real situation, your actions to resolve competing priorities, and the resulting decision or outcome.

Describe a time you challenged an internal assumption on a customer's behalf.

What to coverCustomer advocacy and willingness to challenge internal norms are stated requirements. Suggested practice: describe the evidence you brought, how you handled disagreement and what happened for the customer.

Tell me about a time you helped a customer adopt a new workflow.

What to coverThe posting emphasizes onboarding, adoption and change management. Suggested practice: explain the initial resistance or obstacle, the enablement actions you took and the observable result.

Describe an ambiguous customer escalation you had to prioritize.

What to coverThe role manages risks, blockers and escalations and calls for sound judgment under ambiguity. Suggested practice: set out the situation, how you assessed urgency and coordinated a response, and the result.

Tell me about a time customer feedback improved a product or delivery practice.

What to coverThis early CX role surfaces customer insights to Product and helps establish scalable delivery practices. Suggested practice: describe the feedback, how you validated and conveyed it, your actions, and any resulting change.

Sharpen your knowledge

Topics to prepare

Post-sale lifecycle and value realization
Posting: The role owns onboarding through adoption, measurable outcomes, and expansion readiness. Revision exercise: outline how you would distinguish each stage and decide when an account is ready to advance.
Enterprise stakeholder and program alignment
Posting: Success plans, stakeholder maps, milestones, and cross-functional workstreams are central. Revision exercise: map a hypothetical customer’s practitioners, executives, and internal Product, Engineering, and Sales partners; identify who must agree at each milestone.
Platform implementation and integrations
Posting: Technical fluency with workflows, integrations, APIs, implementations, and operational systems is required. Revision exercise: trace a hypothetical security workflow across system boundaries and explain its dependencies and likely failure points without assuming specific 7AI interfaces.
Customer health and escalation judgment
Posting: The engineer monitors performance, identifies degradation, and coordinates resolution of risks and blockers. Revision exercise: rank three hypothetical issues by customer impact, urgency, and need for Engineering involvement; explain the trade-offs.
Security operations, AI, and automation context
Posting: Customers deploy the platform across security workflows; experience with AI, automation, and security operations platforms is preferred. Suggested preparation: sketch where automation might help a security workflow and where a practitioner would need visibility or intervention. Do not assume a particular 7AI capability.
Customer advocacy and audience-specific value
Posting: The role translates technical concepts into business value, challenges internal assumptions for customers, and brings feedback into product planning. Revision exercise: turn one hypothetical workflow concern into a practitioner explanation, an executive outcome statement, and a concise product-feedback rationale.

Skills to revise

Draft an onboarding success plan
Practice producing a one-page plan with customer objectives, stakeholder owners, milestones, workstreams, and an adoption checkpoint. The posting explicitly calls for these artifacts and for leading onboarding execution.
Design and tune a workflow
Using a hypothetical security use case, specify the workflow goal, inputs, configuration decisions, a proposed Skill, and how you would assess and adjust its behavior. This rehearses the stated hands-on ownership of platform configuration, Skills and workflow creation, tuning, and optimization; the exercise does not presume product-specific controls.
Explain an integration handoff
Practice drawing an API-based handoff between a customer operational system and a platform, noting data exchanged, dependencies, and questions to resolve before implementation. The posting requires fluency with integrations and APIs, not a named integration tool.
Run an escalation scenario
Draft an initial customer response to a hypothetical performance degradation, then write an internal handoff stating impact, known facts, unknowns, owner, and next update. This mirrors first-line technical guidance and cross-functional escalation management.
Deliver a customer review
Practice a brief status or QBR-style update covering agreed milestones, observed adoption, unresolved risks, and next decisions; tailor the spoken summary for practitioners and executives. The posting calls for these communication cadences and measurable outcomes.
Turn feedback into an adoption proposal
Write a short note separating a customer’s stated need, evidence of current value, a proposed usage expansion, and feedback for Product. This reflects the posting’s responsibilities for expansion readiness and informing product priorities; the proposal is an exercise, not a promised product feature.

Your preparation checklist

Map evidence to the requirements
Prepare a brief evidence sheet with specific examples of enterprise customer ownership, program coordination, technical implementations, onboarding, adoption and measurable outcomes. Note which examples demonstrate customer advocacy and judgment under ambiguity.
Rehearse a customer project walkthrough
Choose one relevant post-sale engagement and explain the customer goal, stakeholders, technical work, change-management decisions, blockers and measured result. Be ready to distinguish your own actions from the team’s.
Draft a sample onboarding plan
As an interview exercise, create a one-page success plan for a hypothetical security-workflow customer: stakeholder map, workflow-alignment questions, milestones, cross-functional owners and measures of value. Do not assume a specific 7AI deployment process.
Sketch a workflow implementation
Prepare a hypothetical design showing configuration, a Skill or workflow, potential API or integration touchpoints, and how you would test and tune it. The role calls for hands-on ownership, but the posting does not specify particular platform interfaces.
Practice a degradation and escalation scenario
Outline how you would identify a performance or customer-health concern, assess impact, provide initial guidance, coordinate with Product or Engineering, and communicate a resolution plan.
Prepare practitioner and executive updates
Draft a short status update and a QBR-style summary of workflow adoption, demonstrated value, open risks and a justified next usage opportunity. Practice explaining the same technical issue in business terms.
Bring questions about delivery and feedback
Ask how 7AI defines customer value and health, divides post-sale responsibilities with Product, Engineering and Sales, and turns customer feedback into roadmap priorities and scalable CX practices.

Availability last checked: Nov 4, 2026. Status can change after a check; confirm on the employer’s website. Report an issue · Our checking policy

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