Presales Solution Architect - Data (US)

Jobgether

United States

Hybrid

USD 80,000 - 120,000

Full time

14 days+

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Benefits offered by this job

Flexible working schedule with hybrid work options
Career development opportunities
Access to continuous training and workshops
Fun, collaborative work environment
International and diverse team with language learning opportunities

Job summary

A technology company is seeking a Presales Solution Architect – Data to act as a key technical advisor in the United States. This role involves collaborating with clients, understanding business challenges, and proposing tailored data solutions. Ideal candidates will have significant experience in presales and excellent communication skills. The position offers flexible working options and opportunities for career development in a dynamic environment.

Qualifications

  • Minimum 3 years of experience in presales or client-facing technical roles.
  • Flexibility to work across different time zones as needed.
  • Preferred: Knowledge of AI data lifecycle.

Responsibilities

  • Support the pre‑sales process for data collection and evaluation projects.
  • Collaborate with clients to recommend appropriate data and AI solutions.
  • Translate client requirements into technical workflows.

Skills

Excellent written and verbal communication skills in English
Proficiency in Microsoft Excel
Ability to design custom workflows
Capability to translate client requirements
Experience collaborating with cross-functional teams

Education

Higher education in a relevant field

Job description

Presales Solution Architect – Data

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Presales Solution Architect – Data in the United States.

In this role, you will act as a key technical advisor during the pre‑sales lifecycle, collaborating directly with clients to understand their business challenges and propose tailored data solutions. You will bridge business requirements with technical capabilities, translating client use cases into scalable, cost‑effective workflows and AI data solutions. Working closely with sales, engineering, and operations teams, you will contribute to solution design, pricing, and documentation while ensuring projects meet client expectations. This position offers the opportunity to apply deep industry knowledge in AI data annotation, collection, and evaluation projects within a dynamic, client‑focused environment.

Accountabilities
  • Support the pre‑sales process for data collection, annotation, and evaluation projects
  • Collaborate with clients to understand business challenges and recommend appropriate data and AI solutions
  • Translate client requirements into technical workflows and propose scalable, cost‑effective solutions
  • Prepare solution architecture documents, pricing models, and related artifacts
  • Communicate technical and operational aspects clearly to clients, internal teams, and external vendors
  • Assist the sales team in closing deals by demonstrating trusted expertise and well‑defined solutions
  • Document workflows and build reusable solution templates for operational scalability
  • Suggest improvements to product offerings based on client feedback and insights
Requirements
  • Minimum 3 years of experience in presales or client‑facing technical roles
  • Higher education in a relevant field
  • Excellent written and verbal communication skills in English
  • Proficiency in Microsoft Excel for pricing, costing, and effort estimation
  • Ability to design custom workflows using human or automated solutions
  • Capability to translate client requirements into technical, scalable, and cost‑efficient solutions
  • Experience collaborating with cross‑functional teams including project managers, engineers, QA, and linguists
  • Flexibility to work across different time zones as needed
  • Preferred: Knowledge of AI data lifecycle, including sourcing, annotation, QA, and delivery
  • Preferred: Experience with tasks like data collection, transcription, classification, or fine‑tuning LLMs
Benefits
  • 🕒 Flexible working schedule with hybrid work options
  • 🚀 Career development opportunities in a high‑growth, innovative company
  • 💡 Culture of feedback, learning, and continuous improvement
  • 🌎 International and diverse team with language learning opportunities
  • 🎓 Access to continuous training, workshops, and online courses like Coursera
  • 🎉 Fun, collaborative work environment with team activities and social events
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