Staff Software Engineer

Howrecruit
Greater London, UK
18 days ago
Apply on www.collegerecruiter.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Artificial Intelligence Data Analysis

Job description

This role is for engineers who are genuinely senior technically but still want to stay close to the code. Not managers pretending to be engineers. Not architects living in diagrams. Not “strategy-only” Staff Engineers. This is a deeply hands-on Staff Engineer role inside a very flat, AI-native product company. We’re partnering with a fast-growing company building an AI-driven analytics platform used by some of the world’s leading e-commerce brands. They’ve already analysed over $14B in media spend and are now scaling the next phase of the platform. The engineering culture is high-bar, fast-moving, and extremely product-focused. This is not a ticket factory role.

About the Role

You’ll work in small autonomous teams shipping product every week across:

  • Analytics
  • Creative tooling

Responsibilities

  • Influence technical direction
  • Help shape architecture and engineering strategy
  • Solve hard product and systems problems

Qualifications

This is a Staff role where 90% of your time is still spent building.

Required Skills

  • Still enjoy being in the weeds technically
  • Thrive in fast-moving startup environments
  • Care deeply about craft and user experience
  • Want to work at a genuinely AI-native company
  • Enjoy ownership, ambiguity and autonomy

Preferred Skills

The stack matters less than engineering quality. They care far more about strong engineers than specific frameworks.

Pay range and compensation package

Benefits

  • Real ownership from day one
  • Flat hierarchy and low bureaucracy
  • AI at the core of the business
  • Small, talented engineering teams
  • Remote-first across Europe & Canada
  • Founders with a strong track record

Interested? Send me:

  • Your CV
  • Your LinkedIn profile + a short note

Happy to share more context confidentially.

Requirements

  • Still enjoy being in the weeds technically
  • Thrive in fast-moving startup environments
  • Care deeply about craft and user experience
  • Want to work at a genuinely AI-native company
  • Enjoy ownership, ambiguity and autonomy, The stack matters less than engineering quality. They care far more about strong engineers than specific frameworks.

Benefits & conditions

  • Real ownership from day one
  • Flat hierarchy and low bureaucracy
  • AI at the core of the business
  • Small, talented engineering teams
  • Remote-first across Europe & Canada
  • Founders with a strong track record

About the company

This role is for engineers who are genuinely senior technically but still want to stay close to the code. Not managers pretending to be engineers. Not architects living in diagrams. Not “strategy-only” Staff Engineers. This is a deeply hands-on Staff Engineer role inside a very flat, AI-native product company. We’re partnering with a fast-growing company building an AI-driven analytics platform used by some of the world’s leading e-commerce brands. They’ve already analysed over $14B in media spend and are now scaling the next phase of the platform. The engineering culture is high-bar, fast-moving, and extremely product-focused. This is not a ticket factory role.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.collegerecruiter.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:45 min

Overcoming HR apprehension toward technology stacks

Rudi Bauer Rudi Bauer +1 ¡ Cappuccino with HR

3:46 min

Core terminology and audiences for interpretable artificial intelligence

Karol Przystalski ¡ LIVE

1:48 min

Automating exploratory data analysis within training pipelines

Dora Petrella ¡ World Congress 2023

5:00 min

Exploring the specific workplace responsibilities of staff software engineers

Jan Giacomelli ¡ LIVE

3:21 min

Automating complete quality assurance pipelines with artificial intelligence

Evelyn Haslinger ¡ LIVE

1:36 min

Performing exploratory data analysis to uncover underlying patterns

Julian Joseph ¡ LIVE

Videos

See all

Related articles

See all