Technical Sales Engineer

People Prime Worldwide · Bangalore, India

About Company:

Our client is a Palo Alto–based AI infrastructure and talent platform founded in 2018. It helps companies connect with remote software developers using AI-powered vetting and matching technology. Originally branded as the “Intelligent Talent Cloud, \"enabled companies to “spin up their engineering dream team in the cloud” by sourcing and managing vetted global talent.

In recent years, they have evolved to support AI infrastructure and AGI workflows, offering services in model training, fine-tuning, and deployment—powered by their internal AI platform, ALAN, and backed by a vast talent network. They reported $300 million in revenue and reached profitability. Their growth is driven by demand for annotated training data from AI labs, including major clients like OpenAI, Google, Anthropic, and Meta.

Job Description:

Job Title: Technical Sales Engineer

Location: Pan India

Experience: 3+ yrs.

Employment Type: Contract to hire

Work Mode: Remote

Notice Period: - Immediate joiners

Roles & Responsibilities:

Role Overview:

We are seeking experienced Technical and Scientific Sales Representatives to help train advanced AI systems. You will create, evaluate, and refine realistic tasks involving prospecting, needs discovery, solution positioning, technical demonstrations, proposal development, objection handling, and account growth. You will verify technical accuracy, commercial relevance, and practicality, helping AI produce credible, customer-focused solutions for complex scientific and technical sales scenarios.

Requirements

• 3–8 years of experience in technical or scientific sales, solutions consulting, or a related customer-facing role.
• Relevant educational or professional background in engineering, life sciences, healthcare, technology, or another technical discipline.
• Proven experience conducting discovery conversations to understand customer requirements, challenges, workflows, and decision criteria.
• Ability to assess solution fit, explain complex products clearly, and address technical objections from diverse stakeholders.
• Capable of creating realistic tasks covering technical discovery, solution mapping, demonstrations, proposals, and customer recommendations.

Responsibilities

• Produce expert tasks and solutions in the functional area to the pod's quality bar.
• Work under senior review; incorporate calibration feedback and iterate.
• Apply the rubric standards set by the Functional SME (Expert) Lead.

Education & Experience

• Bachelor's degree or equivalent practical experience in any field.
• Experience in AI evaluation, data annotation, content review, quality assurance, or a related analytical role is preferred but not required.