Hybrid Data & AI Pre-Sales Lead

Netcompany; Greater London; Hybrid; GBP 90,000 - 120,000; Full time

Benefits offered by this job

Hybrid working model

Private Medical Health care via Vitaly

Pension contribution

Life Assurance

Certifications supported

Employee discounts

Employee Resource Groups

Job summary

Netcompany is seeking a Data & AI Pre-sales Lead to join our solutions group in the UK. You will translate client requirements into cost-effective, fit-for-purpose solutions and support our GTM strategy to drive growth.

Working with GTM teams, you’ll shape pre-sales engagements from discovery to bids, spanning data engineering, AI, and solution architecture. Hybrid working and travel to client sites are expected.

Qualifications

• 6+ years of complex, solution-led pre-sales experience in tech services.
• Proven ability to shape Data & AI projects end-to-end across multiple sectors.
• Strong technical understanding of modern Data & AI technologies and supporting infra.
• Excellent written and verbal communication; able to engage C-level and technical audiences.
• Proven sales, influencing, and negotiation skills with lead generation ability.

Responsibilities

• Provide solution support across sales efforts and qualify opportunities.
• Collaborate with GTM leaders to analyze client needs and viability.
• Define and present data/AI solutions and their value to clients.
• Author competitive bid responses and perform requirements analysis.
• Travel to client sites and industry events to showcase emerging tech.

Skills

Data & AI Pre-sales

Solution Architecture

Stakeholder Management

Proposal Writing

Sales Enablement

Education

Bachelor’s degree in a relevant field

Tools

Cloud Platforms

ML Frameworks

Data Engineering

Job description

Netcompany is seeking a Data & AI Pre-sales Lead to join our solutions group in the UK. You will translate client requirements into cost-effective, fit-for-purpose solutions and support our GTM strategy to drive growth.

Working with GTM teams, you’ll shape pre-sales engagements from discovery to bids, spanning data engineering, AI, and solution architecture. Hybrid working and travel to client sites are expected.