Internal Product Engineer, Developer Productivity AI
- Toronto, ON, Canada
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Job details
- Experience
- 2-5 years of professional hands-on software development experience, able to write well-factored algorithms and have experience with commonly used data structure and algorithms
- Posting language
- English
- Posted
Original job description
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.
About the team
We are a brand new team, working quickly to accelerate Stripes engineering productivity by effectively deploying LLM agents and tools to automate large swaths of the engineering workflow. We’re a cross-continent team, spanning North America and Europe - filled with high agency engineers with strong product perspectives. Some examples of what we work on: here and here.
What you’ll do
You will build the next generation of internal AI coding tools and platforms, to massively accelerate Stripe’s engineering productivity safely and with a clear focus on our users’ needs.
Who you are
We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum requirements
We’re looking for someone who has:
- Strong software engineering skills and ability to write high quality code at high velocity
- 2-5 years of professional hands-on software development experience, able to write well-factored algorithms and have experience with commonly used data structure and algorithms
- Hands on experience building tools or platforms used by other engineers or internal users
- Strong collaboration skills, can work across workstreams within your team and contribute to your peers’ success
- Customer obsession, ability to articulate and represent customer experience in various forums to drive the right outcome
- Have the ability to thrive with a high level of autonomy, and responsibility
- Experience using AI developer tooling as part of their day-to-day workflows
Minimum requirements
We’re looking for someone who has:
- Strong software engineering skills and ability to write high quality code at high velocity
- 2-5 years of professional hands-on software development experience, able to write well-factored algorithms and have experience with commonly used data structure and algorithms
- Hands on experience building tools or platforms used by other engineers or internal users
- Strong collaboration skills, can work across workstreams within your team and contribute to your peers’ success
- Customer obsession, ability to articulate and represent customer experience in various forums to drive the right outcome
- Have the ability to thrive with a high level of autonomy, and responsibility
- Experience using AI developer tooling as part of their day-to-day workflows
Preferred qualifications
- Deep curiosity and opinionation about the use of AI in software engineering.
- Direct experience building coding or other software development tools.
- We’re excited about rounded engineers, but would be extremely excited to find engineers that fit one of these two archetypes
- High data fluency engineer - demonstrated ability to use large datasets to pick out user insights and inform product development.
- Product engineer - demonstrated ability and opinionation on great product experiences, with high attention to detail. Bonus if this demonstrated experience is in developer tooling.
More about this job
Responsibilities
Build the next generation of internal AI coding tools and platforms to accelerate engineering productivity. Focus on automating engineering workflows through the deployment of LLM agents and tools.
Requirements
Requires 2-5 years of professional software development experience with strong skills in algorithms and data structures. Candidates should have experience building internal tools and a strong interest in AI-driven software engineering.
Skills
- Software Engineering
- Algorithm Design
- Data Structures
- Internal Tooling
- AI Developer Tooling
- Collaboration
- Customer Obsession
- Product Development
- Data Fluency
Visa sponsorship
Not detected in the job text
Categories
- Software
- Technology
- Engineering
- Data & Analytics
Keywords
- LLM Agents
- AI Coding Tools
- Developer Productivity
- Software Development
- Algorithms
- Data Structures
- Internal Platforms
- Product Engineering
- Data Fluency
- Financial Infrastructure