Solutions Specialist

RevStar; United States; Hybrid; CAD 70,000 - 90,000; Full time

Job summary

A technology solutions company is looking for a Solution Specialist to engage clients, gather requirements, and design tailored solutions. This client-facing role requires at least 2 years of experience in technical or pre-sales positions, along with strong communication skills and the ability to grasp complex technical concepts. Familiarity with AWS services, especially in AI and ML, is strongly preferred as the position involves collaborating with cross-functional teams to deliver innovative solutions.

Qualifications

• 2+ years of experience in a technical or pre-sales role.
• Strong client-facing communication and presentation skills.
• Ability to understand and communicate technical concepts.

Responsibilities

• Engage clients and conduct discovery calls.
• Capture detailed business and technical requirements.
• Design solution architectures and collaborate with AI engineers.

Skills

Client-facing communication

Presentation skills

Understanding of technical concepts

Creative problem solving

Tools

AWS

AI/ML technologies

Job description

At RevStar, our people are our greatest resource. We foster a collaborative, remote-first culture where teams freely share ideas, innovate together, and grow both individually and collectively. By joining us, you’ll have the opportunity to work with cutting‑edge technologies across diverse industries, delivering value‑driven products for clients who prioritize quality and performance. We believe in the pursuit of better, not just in cloud‑native app development, but in creating meaningful experiences and outcomes that matter.

We’re looking for a Solution Specialist who can bridge the gap between sales, product, and technical execution. You’ll take qualified leads from our sales pipeline, work with clients to collect detailed requirements, and pitch tailored proposals. You’ll collaborate closely with our AI engineering team to design solution architectures and present them in a clear, compelling way to clients.

This is a client‑facing role based in the US that requires both technical insight and strong presentation skills. You don’t have to be an engineer, but you should be able to speak the language of both business and technology, especially when it comes to AWS services and AI.

Duties and responsibilities

• Client Engagement – Take over qualified leads from the sales team, conduct discovery calls, and understand client needs and goals.
• Requirements Gathering – Work with clients to capture detailed business and technical requirements for proposed solutions.
• Solution Design – Collaborate with AI engineers and product teams to create solution architectures that address client challenges.
• Proposal Development & Pitching – Prepare clear, compelling proposals and present them to clients with confidence.
• Rapid Turnaround – Respond quickly to client requests, questions, and changes, often within tight timelines.
• On-the-Spot Thinking – Adapt in real time during client conversations to suggest creative and practical solutions.
• Collaboration with Technical Teams – Work closely with AI engineering teams to ensure proposals are feasible and aligned with client expectations.
• Sales Support – Assist in closing deals by addressing technical questions, objections, and competitive differentiators.
• AWS Funding & Programs – Identify opportunities to leverage AWS funding programs to support client projects.

Qualifications

• Required
• 2+ years of experience in a technical, product, or pre‑sales role (Developer, Product Manager, Solution Architect, or similar)
• Strong client‑facing communication and presentation skills
• Ability to quickly understand and communicate technical concepts to non‑technical stakeholders
• Experience working in fast‑paced, high‑turnaround environments
• Ability to think creatively and propose solutions on the fly
• Preferred
• Experience with AWS services (especially AI/ML, Data, and Serverless solutions)
• Understanding of AWS funding programs (e.g., POC credits, MAP, startup funding)
• Familiarity with AI solution design (Generative AI, NLP, RAG, LLMOps)
• Prior sales or pre‑sales experience with enterprise clients
• Knowledge of solution architecture best practices