Staff Product Engineer (£135k-£170k + Equity) at $116M Series B AI-native CRM startup

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Job Title

Staff Product Engineer

Salary

£135k-£170k + Equity

Company

$116M Series B AI‑native CRM startup backed by GV and Redpoint

Location

Remote, UK

Job Overview

You will solve the most complex technical challenges for a next‑generation CRM built for the AI era. As a Staff Product Engineer, you will drive technical strategy across teams, design robust cloud‑native systems, and mentor high‑caliber talent. You’ll balance technical excellence with business delivery to build a tool that empowers ambitious global GTM teams.

Why This Role Is Remarkable

  • Work at the frontier of AI‑native architecture with a high‑performance team backed by world‑class investors like GV, Redpoint, and Balderton.
  • Take a high‑impact leadership role where you influence the fundamental infrastructure and technical standards of a platform disrupting the CRM market.
  • Enjoy a craft‑focused culture that prioritizes deep technical rigor, exceptional user experience, and frequent international team off‑sites to locations like Barcelona and Lisbon.

What You Will Do

  • Provide technical leadership for critical infrastructure, ensuring the platform remains reliable, scalable, and secure as the user base grows.
  • Mentor and coach a world‑class engineering team, fostering a growth mindset and raising the bar for software operations in the age of AI.
  • Collaborate across the organization to make strategic trade‑offs between rapid delivery and architectural perfection, optimizing for customer value and business growth.

The Ideal Candidate

  • Demonstrates first‑class technical execution in distributed, cloud‑native systems with a proven ability to think in complex systems rather than just code.
  • Possesses a track record of technical leadership, having successfully broken down large, ambiguous problems into executable goals for other engineers to own.
  • Maintains a product‑first mindset with strong opinions on UX, using data and customer insights to build features that are uniquely valuable to users.

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Company: Jack & Jill
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Job Description:

Job Title

Staff Product Engineer

Salary

£135k-£170k + Equity

Company

$116M Series B AI‑native CRM startup backed by GV and Redpoint

Location

Remote, UK

Job Overview

You will solve the most complex technical challenges for a next‑generation CRM built for the AI era. As a Staff Product Engineer, you will drive technical strategy across teams, design robust cloud‑native systems, and mentor high‑caliber talent. You’ll balance technical excellence with business delivery to build a tool that empowers ambitious global GTM teams.

Why This Role Is Remarkable

  • Work at the frontier of AI‑native architecture with a high‑performance team backed by world‑class investors like GV, Redpoint, and Balderton.
  • Take a high‑impact leadership role where you influence the fundamental infrastructure and technical standards of a platform disrupting the CRM market.
  • Enjoy a craft‑focused culture that prioritizes deep technical rigor, exceptional user experience, and frequent international team off‑sites to locations like Barcelona and Lisbon.

What You Will Do

  • Provide technical leadership for critical infrastructure, ensuring the platform remains reliable, scalable, and secure as the user base grows.
  • Mentor and coach a world‑class engineering team, fostering a growth mindset and raising the bar for software operations in the age of AI.
  • Collaborate across the organization to make strategic trade‑offs between rapid delivery and architectural perfection, optimizing for customer value and business growth.

The Ideal Candidate

  • Demonstrates first‑class technical execution in distributed, cloud‑native systems with a proven ability to think in complex systems rather than just code.
  • Possesses a track record of technical leadership, having successfully broken down large, ambiguous problems into executable goals for other engineers to own.
  • Maintains a product‑first mindset with strong opinions on UX, using data and customer insights to build features that are uniquely valuable to users.

#J-18808-Ljbffr…

Posted: May 18th, 2026