Remote AI Solutions Engineer — Pre-Sales

Hivemind Capital Partners LLC; United States, Northern America, Americas; Hybrid; USD 105,000 - 165,000; Full time

Benefits offered by this job

Paid Time Off

Health plans

Wellness benefits

Parental leave

401(k) retirement savings

Job summary

Napster Corp is seeking a Solutions Engineer to lead technical discovery, validate feasibility, and shape a solution concept ready for Delivery. You’ll collaborate with Sales, Delivery/Professional Services, and Product to ensure solutions are buildable and well-scoped, driving value for customers.

The successful candidate will blend deep AI interest with practical pre-sales expertise, excel in cross-functional discussions, and thrive in a fast-paced, consultative environment.

Qualifications

• 4+ years in Solutions Engineering or similar pre-sales tech role, ideally in AI/SaaS.
• Strong communication with technical and non-technical stakeholders, including executives.
• Technical aptitude to assess feasibility and design credible solutions without production code.
• Curiosity about AI and ability to dig into customer problems and Napster's platform.
• Comfort operating in ambiguity and turning vague problems into sellable concepts.
• Experience partnering with Sales, Delivery/PS, and Product teams.

Responsibilities

• Lead technical discovery with prospects to uncover business problems and outcomes.
• Translate needs into a solution model and validate feasibility before proposals.
• Build and present demos/PoCs showing real business value.
• Serve as the technical resource on product, API, and LLM questions duringSales cycle.

Skills

Communication skills

Technical curiosity about AI

Problem-solving in ambiguous contexts

Stakeholder collaboration

Tools

APIs

Integrations

Data flows

System architecture

Job description

Napster Corp is seeking a Solutions Engineer to lead technical discovery, validate feasibility, and shape a solution concept ready for Delivery. You’ll collaborate with Sales, Delivery/Professional Services, and Product to ensure solutions are buildable and well-scoped, driving value for customers.

The successful candidate will blend deep AI interest with practical pre-sales expertise, excel in cross-functional discussions, and thrive in a fast-paced, consultative environment.