Solutions Consultant - AI & Recruitment Technology

Career Now Brands • Royal Oak, MI

6d

About The Position

Career Now Brands is seeking an experienced Solutions Consultant to partner with Sales, Product, and Engineering so clients can understand, adopt, and launch AI-driven recruitment solutions. The position connects client business goals with internal teams and combines sales consultation, solution design, project coordination, and product strategy. It reports to the SVP of Product.

The consultant works with prospective and existing clients to understand recruitment workflows, identify opportunities for AI and automation, and guide configuration and rollout. The role owns business-health KPIs spanning client satisfaction, usage, growth, and cost-to-serve. It is expected to develop over time toward Product Manager or Product Strategy responsibilities as the AI platform and client adoption mature.

Requirements

• 3–7+ years of experience in one or more of the following: Solutions Consulting, Sales Engineering, Technical Consulting, Product Operations, or Implementation.
• Strong understanding of SaaS, APIs, integrations, and modern technology stacks.
• Experience working with AI, automation, or workflow technology, hands-on or consultative, with demonstrated results.
• Comfort with client-facing, executive-level conversations.
• Ability to translate technical concepts into business value.
• Strong organizational and communication skills.
• Comfort operating in ambiguous and fast-moving environments.

Nice To Haves

• Experience in recruiting technology, HR technology, or marketing technology.
• Exposure to ATS platforms, CRMs, or candidate engagement tools.
• Prior product management or roadmap-influencing experience.
• Familiarity with Agile or other lightweight project management methodologies.

Responsibilities

• Partner with Sales on discovery and solution-design calls with prospective clients.
• Understand clients’ desired outcomes and business goals, and identify industry trends that can inform product development.
• Translate client requests and needs into actionable projects with clear, measurable timelines.
• Use structured questions to understand recruiting workflows, ATS/CRM and technology stacks, candidate engagement challenges, and volume, velocity, and quality constraints.
• Act as a trusted technical advisor during the sales cycle.
• Design high-level client AI strategies using capabilities such as qualification, scheduling, routing, onboarding, and retention support.
• Recommend solution architectures that balance speed, impact, and operational feasibility.
• Create solution outlines, implementation approaches, and phased rollout plans, and explain how AI fits into clients’ broader recruiting and hiring strategies.
• Coordinate AI launches and configurations, including requirements gathering, configuration planning, timeline coordination, testing and validation, and launch readiness.
• Ensure smooth handoffs between Sales, Engineering, Product, and Client Success; track implementation and onboarding risks, dependencies, and open questions.
• Translate business and recruiting challenges into practical AI-powered solutions; build business cases, small prototypes, and product vision statements.
• Confirm requirements and move them into the product backlog, and lead discussions between business and technical stakeholders to communicate the vision.
• Coordinate with third-party vendors and technology partners on requirements, technical setup, integrations, progress, evaluations, agreements, and integration planning.
• Help ensure integrations align with client needs and internal standards.
• Engage Engineering, Data, and Product teams to support technical analysis, validate feasibility, and influence roadmap priorities based on client needs.
• Translate client feedback and field learnings into actionable product insights.
• Contribute to internal documentation, playbooks, and best practices.

Benefits

• Competitive salary and benefits package.
• Opportunity to work on challenging and impactful projects.
• Collaborative and supportive work environment.
• Chance to learn and grow skills in a rapidly evolving field.
• Opportunity to be part of a company that values data-driven decision-making.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed