Engineering Manager, Developer Productivity AI
Skills & Technologies
Requirements
- Experience
- 5+ years
Joblaze summary
The Engineering Manager for Developer Productivity AI at Stripe leads a senior team focused on enhancing engineering workflows through AI tools. This role requires a blend of technical expertise and leadership skills, with an emphasis on delivering innovative product experiences for internal users. Ideal candidates have a strong background in software engineering and team management, thriving in dynamic environments where they can drive significant change. The team operates across continents, fostering a collaborative culture aimed at redefining how engineers work.
Joblaze insights
- Listed about 3 months ago on Joblaze — tracked directly from Stripe's career page.
- Stripe has 567 other open roles including Account Executive, Enterprise Platforms, Tier 2 Grower, Account Executive, Product Sales - Money Management ASEAN, Account Executive, Product Sales- Money Management ANZ.
- 1835 active AI/ML roles on Joblaze right now.
- Typical AI/ML salary we track runs $146,000–$259,000 (median $190,000, across 1065 roles).
Quick facts
- Is the Engineering Manager, Developer Productivity AI role remote?
- It's hybrid — Stripe expects some on-site time in US-Remote.
- How much experience is required?
- At least 5 years of relevant experience for this Engineering Manager, Developer Productivity AI role.
- Where is the role based?
- Stripe is hiring for this position in US-Remote.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AI/ML.
- What seniority level is this role?
- Stripe targets lead candidates for this position.
- Is this full-time or contract?
- Full-time for this Engineering Manager, Developer Productivity AI role at Stripe.
From the original posting
Who we are
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 Stripe's 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.
What you'll do
We are looking for a hands-on Engineering Manager who can effectively lead a team of high-agency engineers to move quickly in a rapidly evolving technology space. You'll help set product direction in a field with a nearly endless solution space. People passionate about great products, user experience, and with strong opinions about how engineers do their best work will excel in this role. Prior experience deploying AI developer tools isn't required, but is a plus.
You will:
- Lead a senior, cross-continent team of engineers to rapidly deploy and leverage the latest in AI developer tooling
- Deliver compelling user and product experiences for internal customers
- Partner across the company to redefine how software engineers at Stripe work
- Keep pace with an incredibly fast-moving technology landscape
- Dig deep into usage data to understand how engineers use AI tools, identify opportunities, and help Stripe accelerate
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
- 2+ years managing high-performing engineering teams, and at least 5+ years of experience as a software engineer
- Proven success in recruiting and building great teams
- A track record of delivering innovative, high-quality product experiences—for internal or external users
- Effective cross-functional collaboration, with the ability to think rigorously, communicate clearly, and make or coordinate difficult decisions and trade-offs
- Thrives with high autonomy and responsibility in ambiguous environments
- Ability to foster a healthy, inclusive, challenging, and supportive work environment
Preferred qualifications
- Experience tech leading, mentoring, and managing a team that shipped products to engineers
- Experience building tools and products for technical audiences—either internal or external customers
- Deep curiosity and strong opinions about the use of AI in software engineering
- Strong written and verbal communication skills across varied audiences, including leadership, end users, and company-wide forums
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