Remote Tech Due Diligence Lead for M&A & SaaS Platforms

Intelance

Greater London

Remote

GBP 120,000 - 148,000

Full time

3 days ago
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Job summary

Intelance is seeking a senior technology due diligence specialist to lead engagements for buyers, sellers and investors in software platforms. You will review architecture, code, cloud setup and data pipelines, including Google Cloud, BigQuery and dbt, and turn findings into actionable recommendations.

You will interview founders, request evidence, maintain an evidence log and ensure every statement is backed by documentation or dual review.

Qualifications

  • Minimum five years in technology due diligence, advisory or senior engineering leadership.
  • At least three due diligence reports written as the main author; vendor reports a plus.
  • Hands-on knowledge of modern data platforms and SaaS architecture (Google Cloud, BigQuery, dbt).
  • Sound judgement on code quality, technical debt, scalability, secure development and OSS risk.
  • Clear, plain writing read by founders, buyers and lawyers.

Responsibilities

  • Lead technology due diligence engagements for data platform reviews, cloud setup, data pipelines, and architecture.
  • Run code and OSS licence scans; translate results into clear findings.
  • Interview founders and technical leads; gather evidence and review.
  • Maintain evidence log to back every statement with documents or dual review.
  • Rate findings by impact on deal; produce fix list for seller action.
  • Consolidate findings and draft reports trusted by buyers’ advisers.

Skills

5+ years in technology due diligence
Lead author of 3+ due diligenceReports
SaaS architecture knowledge
Google Cloud BigQuery dbt knowledge
Clear writing
Calm, respectful manners with founders
Experience with regulated data

Tools

Google Cloud
BigQuery
dbt

Job description

Intelance is seeking a senior technology due diligence specialist to lead engagements for buyers, sellers and investors in software platforms. You will review architecture, code, cloud setup and data pipelines, including Google Cloud, BigQuery and dbt, and turn findings into actionable recommendations.

You will interview founders, request evidence, maintain an evidence log and ensure every statement is backed by documentation or dual review.

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