Solutions Engineer – Model Studio

Bitdeer Group

. Partner with Sales and Business Development on technical discovery calls to evaluate client model needs, latency tolerances, throughput requirements, and budget constraints .

Posted 10/14/2026full-timeUnited StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in translating customer requirements into technical solutions, with a strong focus on LLM inference concepts and Model-as-a-Service products. Proven ability to conduct technical demos and collaborate effectively with sales and product teams.

Highest-signal resume keywords

Customer-Facing Technical RoleLLM Inference ConceptsModel-as-a-Service (MaaS)Technical Demo ExecutionBachelor’s Degree in Computer Science

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

LLM Inference ConceptsModel Serving ArchitecturesTechnical ScopingPricing StructuresPerformance BenchmarksTechnical Objection ResolutionDemo Script CreationReference ArchitecturesBenchmark DecksOrder Form Drafting

Soft Skills

Exceptional Communication SkillsProblem-SolvingAdaptabilityCollaborationCustomer Feedback Channeling

Tools & Technologies

Hugging FaceVLLMInference FrameworksModel StudioAPI Products

Industry Keywords

AI/ML InfrastructureCloud EnterpriseTechnical SalesCustomer SuccessC-Level Engagement

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

Partner with Sales and Business Development on technical discovery calls to evaluate client model needs, latency tolerances, throughput requirements, and budget constraints
Design, build, and deliver customized technical demos and proofs-of-concept showcasing Model Studio for specific client use cases
Translate customer requirements into proposed technical solutions and pricing structures with Sales and Commercial/Legal teams
Own and resolve technical objections during the sales cycle, including performance and throughput benchmarks, model availability, and SLA questions
Assist with technical scoping and drafting Order Forms alongside commercial and legal stakeholders
Channel structured customer feedback, feature gaps, competitive intelligence, and pricing friction to the Product team
Create reusable technical sales assets, including reference architectures, demo scripts, benchmark decks, and FAQ playbooks
Provide light post-sale onboarding support for transition to Operations and Customer Success
Work directly with prospects from hands-on engineers to C-level executives
Travel regionally as deal flow demands

Requirements

What you’ll need

5–8 years in a customer-facing technical role such as Solutions Engineer, Solutions Architect, Sales Engineer, or Technical Pre-Sales, ideally within an AI/ML infrastructure or cloud enterprise company
Solid working knowledge of LLM inference concepts, including latency versus throughput tradeoffs, GPU versus token-based pricing, and modern model serving architectures
Exceptional ability to run live technical demos and think on your feet in front of technical teams and C-suite stakeholders
Excellent written and verbal communication skills in English
Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience
Willingness to travel to client sites and regional offices as deals require
Direct experience selling or supporting Model-as-a-Service (MaaS) or inference API products preferred
Familiarity with the open-source LLM ecosystem, including Hugging Face, vLLM, common inference frameworks, and licensing considerations preferred
Prior experience partnering directly with Product organizations on technical scoping and roadmap alignment preferred
Professional fluency in Mandarin is a strong plus

Benefits

Comp & perks

Equal employment opportunities in accordance with country, state, and local laws