Presales Solution Architect ( Portugal) Lisboa

Presales Solution Architect ( Portugal)
Lisboa
Lisboa, Lisboa, Portugal

Overview

Defined. ai is the world’s largest Ethical AI Data Marketplace. The company provides superior AI data, tools, and services to support launching
- edge AI systems, sourcing, collecting, annotating, and evaluating data ethically and without bias. Defined. ai has offices in Seattle, USA, and Lisbon, Portugal.

What you will do

• Support
  - sales effort for data collection, annotation and evaluation projects, as well as
  -
  - end solutions.
• Collaborate with clients to identify business challenges and provide appropriate solutions.
• Translate client use cases into data requirements and AI solutions.
• Communicate technical and operational aspects of a solution to clients, internal teams, and external vendors in clear, concise language.
• Set up costing / pricing for the proposed solutions.
• Support the sales team in closing deals by gaining the clients’ trust with deep knowledge and clear solutions.
• Create and own the Solution Architecture document and related artifacts.
• Suggest improvements to the Defined. ai product lines based on insights, client requests, and feedback.
• Develop and present pricing models using Excel for various service offerings.
• Conduct cost analysis reviews, considering staff capacity, project management plans, timelines, and gross margin targets.
• Document workflows and build reusable solution templates for scaling or handing off to operations teams.

Requirements

• Minimum 3 years of experience in relevant roles.
• Higher education in a relevant field.
• Excellent written and verbal communication skills (fluency in English is a must).
• Proficiency in Microsoft Excel.
• Ability to estimate contributor hours, pricing, time on task, and gross margins based on project scope and constraints.
• Ability to design custom workflows using a crowd or human/service based solution (automated and manual).
• Ability to translate client requirements into technical workflows; skilled in creating scalable,
  - effective project solutions tailored to use case needs.
• Ability to collaborate with project managers, linguists, engineers, and QA leads to ensure solutions are technically sound and logistically feasible.
• Ability to work in a collaborative environment in different time zones and outside standard hours when needed.
• Preferred but not required: Expertise in the full lifecycle of data for training AI models (sourcing, ingestion, annotation, QA, and delivery).
• Preferred but not required: Experience with data collection for training AI models, transcription, entity recognition, classification, or fine tuning LLMs using a crowd solution.

Benefits

• Flexible working schedule and hybrid model; opportunity to split time between Lisbon office and home.
• Excellent career development opportunities in a high growth company with a defined career path.
• Culture of feedback and continuous improvement with a focus on tech trends and learning.
• International and diverse team across locations with language classes.
• Continuous training opportunities, including
  - on workshops and access to Coursera.
• Fun and collaborative environment with team activities.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Engineering and Information Technology

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