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Open nowPosted 7 hours ago

Engineering Manager - Internal Systems Automations Platform

Stripe775 open roles

Where
Bengaluru
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Your applicationOpen nowEngineering Manager - Internal Systems Automations PlatformStripe · Bengaluru

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Stripe's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

13.8% of postings close within 7 days. Measured by our own scanner across the market. Stripe postings stay open a median of 59 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.8%7 days
  4. 22.3%14 days
  5. 37.8%30 days
  6. 59.0%60 days
This job: posted 7 hours ago

Stripe median: 59 days open

The 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

The Internal Systems Automations Platform team’s mission is to unlock productivity across all of Stripe’s internal systems. We build solutions to transform core processes for Finance, Accounting, People, Legal, Sales, Marketing, and more. We orchestrate the full automation lifecycle, using artificial intelligence (AI) for planning, analysis, and reasoning, and deterministic scripts, code, and pipelines for reliable and trustworthy execution. We enable technical and nontechnical users to build hybrid code and no-code automations while working with central Operations, Developer Productivity, Infrastructure, and machine learning (ML) teams on behalf of all Internal Systems customers to build powerful platforms together.

What you’ll do

We’re looking for an experienced engineering manager with a passion for simplifying complex systems and driving operational efficiency. In this role, you’ll analyze existing processes across Stripe’s internal systems, use automation platforms where possible, and design new solutions when needed. You will implement cutting-edge automation solutions, including AI agents, robotic process automation (RPA), and data pipelines, and build best-in-class platforms. You’ll be responsible for continuously improving workflows to maximize efficiency and deliver meaningful business impact across a broad set of internal stakeholders.

Responsibilities

  • Lead your team of talented engineers to design and deploy data pipelines and intelligent workflows that simplify operations for internal customers, including Finance, Accounting, Legal, People, Sales, Marketing, and Operations teams.
  • Collaborate with product managers and talk directly with users to drive a high-impact, prioritized roadmap for your team.
  • Recruit, coach, mentor, develop, and grow engineers on your team.
  • Be deeply involved in launching new product features and capabilities.
  • Partner with engineers and product managers across Stripe to ensure your features are integrated into the Stripe suite.

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

  • 5+ years of engineering management experience and 10+ years of overall experience in the industry.
  • Proven experience working on high-scale systems with a strong technical foundation.
  • Works very well cross-functionally and is able to think rigorously and make hard decisions and tradeoffs.
  • Thrives on a high level of autonomy and responsibility.
  • Encourages a healthy work environment that’s both supportive and challenging and enables engineers to do their best work.
  • Strong technical background and hands-on experience in solving large-scale and difficult technical problems.
  • Ability to work with diverse internal teams and stakeholders across Finance, Legal, Operations, and other business functions.

Preferred qualifications

  • Experience with AI, large language model (LLM), or ML technologies is highly valuable.
  • Understanding of context-driven AI agents that can autonomously figure out solutions when given business problems and context.
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