Solutions Consultant managing pre - sales activities at DeepL, a leader in Language AI communications. Collaborating with customers and Account Executives to drive adoption and satisfaction.
About the role
- Pre-Sales Solution Architect supporting AI data projects and facilitating solutions. Join Defined.ai's mission in delivering high-quality data for artificial intelligence applications.
Responsibilities
- Support pre-sales effort for data collection, annotation and evaluation projects, as well as end-to-end solutions.
- Collaborate with clients to identify business challenges and provide appropriate solutions.
- Translate client use cases into data requirements and AI solutions.
- Skilled at communicating technical and operational aspects of a solution to clients, internal teams, and external vendors in clear, concise language.
- Setting up costing / pricing for the proposed solutions.
- Support the sales team in closing deals by gaining the clients trust with your deep knowledge and clear solutions.
- Be the creator and owner of the Solution Architecture document and related artifacts.
- Suggest improvements to the Defined.ai product lines based on your insights, client requests and feedback.
- Develop and present pricing models using Excel for various service offerings.
- Conduct cost analysis reviews, taking into account 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, cost-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 out of working hours when needed.
- Preferred but not required: Expertise in the full lifecycle of data for training AI models such as sourcing, ingestion, annotation, QA, and delivery.
- Preferred but not required: Experience working with and understanding the basic needs of tasks such as 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.
- Excellent career development opportunities in a high growth company.
- Culture of feedback and continuous improvement.
- An international and diverse team.
- Continuous training opportunities.
- Fun activities.
Job title
Job type
Experience level
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Not specified
Degree requirement
Location requirements
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