Engineering Manager, Machine Learning - Credit Risk

We need to output HTML fragment with sections: About the role? Actually we have "Who we are", "About Stripe", "About The Team", "What you’ll do", "Responsibilities", "Who you are", "Minimum Requirements", "Preferred Qualifications", "Hybrid work at Stripe", "Pay and benefits". We need to use

for section headings (e.g., About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). We should map headings accordingly. The instruction: "use

for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule)." So we should produce headings like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. However we need to include sections only when posting has real specific content. We have content for About the role? There's "What you’ll do" which is essentially role description. Could map to "About the role". Also we have "Responsibilities" section. We have "Minimum Requirements" and "Preferred Qualifications" which could map to Requirements and Qualifications. We have "Pay and benefits" which maps to Pay and Benefits. We have "Hybrid work at Stripe" which could map to Schedule? Not exactly schedule but location/hybrid work. Could treat as Schedule? The instruction says include Schedule only if posting actually states them. The posting does mention hybrid work expectations, not schedule. Might be better to omit Schedule if not explicit. However we could treat hybrid work as Schedule? Probably not. Better to omit Schedule if not present. Benefits we have: "Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends." So we can have Benefits section. Pay we have salary range. So Pay section. We also have "About Stripe" and "About The Team" which could be part of About the role? Might be considered company overview. Could include as part of About the role? But we should not repeat job title as heading. We can include a short paragraph about Stripe and team under About the role? The instruction: "Prefer a few substantive sections over many thin ones." So we could combine About Stripe and About The Team into About the role section. Or we could have separate sections like About the company and About the team but those aren't in the allowed headings list. Better to stick to allowed headings. Thus sections: About the role (includes Who we are, About Stripe, About The Team, What you’ll do). Responsibilities (list). Requirements (Minimum Requirements). Qualifications (Preferred Qualifications). Benefits (Pay and benefits). Pay (salary range). Possibly also Hybrid work? Could be part of About the role or maybe we could add a Schedule section? Not exactly schedule. Might omit. We must not include boilerplate like EEO, application instructions, etc. Remove duplicated lines. We need to preserve all substantive information. So we need to include details from each section. Let's extract content. About Stripe: paragraph about Stripe being financial infrastructure platform, mission, etc. About The Team: description of Credit Risk team. What you’ll do: description of role. Responsibilities: bullet list (we need to convert to

• ). Who you are: intro about minimum/preferred. Minimum Requirements: bullet list. Preferred Qualifications: bullet list. Hybrid work at Stripe: description of hybrid expectations. Pay and benefits: salary range and benefits list. We need to avoid repeating "Who you are" as heading; we can incorporate its intro text into maybe a paragraph before Requirements. We must not include "Job ID / requisition numbers". Not present. We must not include application instructions like "Apply now", "Please find our California applicant personal information notice", etc. Remove those. We must not include cookie/navigation/legal/EEO etc. Not present. Now produce HTML. Structure:

  About the role

  Combine About Stripe, About The Team, What you’ll do.

  Responsibilities

  • ...
  ...

  Requirements

  • Minimum Requirements items

  Qualifications

  • Preferred Qualifications items

  Pay

  Salary range details.

  Benefits

  • Benefits items
  Optionally include Hybrid work as a paragraph under About the role or separate? Could add a

  Work Arrangement

  but not allowed. Might incorporate into About the role paragraph. We must not create sections with filler. So we will not include Schedule. Now craft content. About Stripe paragraph: "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 paragraph: "The Credit Risk team develops intelligent systems that help Stripe identify high-risk accounts, minimize credit losses, and improve profitability. Credit risk is a complex machine learning problem that requires us to distinguish emerging risk from healthy business activity while giving legitimate users a clear and reliable experience. Our team consists of machine learning engineers who build models and systems used across Stripe’s credit-risk products. We work closely with partners in Product, Data Science, Credit Strategy, Operations, and other engineering teams. Together, we help stakeholders make informed decisions and support sustainable growth wherever credit risk affects Stripe’s products." What you’ll do paragraph: "We’re looking for an engineering manager to lead the Credit Risk team and shape how Stripe uses machine learning to manage credit risk at scale. You’ll set the team’s technical and product direction, connect advances in machine learning to measurable business outcomes, and help engineers deliver reliable systems that balance loss prevention with the user experience. You’ll work across engineering, product, data science, and risk to identify the highest-impact opportunities and turn them into a focused roadmap. You’ll also hire and develop engineers, strengthen the team’s technical practices, and contribute to machine learning and engineering leadership across Stripe." Combine maybe two paragraphs. Now Responsibilities list: extract bullet points: - Set and execute the strategy for detecting and mitigating credit risk through machine learning - Own outcomes related to credit losses, profitability, detection quality, and the user experience - Lead the design and delivery of reliable machine learning models, services, and decision systems - Translate advances in machine learning into practical capabilities that support the team’s business goals - Partner with Product, Data Science, Credit Strategy, Operations, and engineering teams to define priorities and deliver cross-functional programs - Recruit, hire, and develop machine learning engineers while building an inclusive and effective team - Contribute to broader engineering and machine learning initiatives as a member of Stripe’s engineering management team Now Minimum Requirements list: - 3+ years of experience managing engineers who build and operate production machine learning systems - Experience applying machine learning to complex, real-world problems and leading the technical delivery of models and supporting systems - Experience setting strategy and working across engineering, product, data science, operations, and business teams to deliver measurable outcomes - Experience recruiting, managing, and developing engineers in a fast-moving environment with significant autonomy Preferred Qualifications list: - Experience with credit risk, fraud detection, financial risk, trust and safety, or another domain involving decisions under uncertainty - Experience balancing risk reduction with customer or user experience - Experience building machine learning systems that support high-stakes, time-sensitive decisions at scale - Experience setting a multi-year technical direction while delivering progress through quarterly plans - Experience managing geographically distributed teams Now Pay: "The annual US base salary range for this role is $258,600 - $387,800. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. Applicants interested in this role and who are not located in the US may request the annual salary range for their location during the interview process." We could keep that paragraph. Benefits list: "Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends." We could split into list items: equity; company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; wellness stipends. Now Hybrid work: we could incorporate into About the role as a paragraph: "Hybrid work at Stripe: This role is available either in an office or a remote location (35+ miles or 56+ km from a Stripe office). In-office expectations: Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams. Working remotely at Stripe: A remote location is defined as being 35 miles (56 kilometers) or more from one of our offices. While you would be welcome to come into the office for team/business meetings, on-sites, meet-ups, and events, our expectation is you would regularly work from home rather than a Stripe office. Stripe does not cover the cost of relocating to a remote location. We encourage you to apply for roles that match the location where you currently live or plan to live." We should not include "We look forward to hearing from you." etc. That's boilerplate? Might be considered generic but it's part of posting. The instruction: Remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, and application instructions. "We look forward to hearing from you." is not exactly boilerplate but could be considered generic closing. Might be safe to keep? It's not specifically listed to remove. However later there is "At Stripe, we're looking for people with passion, grit, and integrity..." etc. That's also generic motivational. Might be considered boilerplate? The instruction says remove boilerplate, duplicated lines, and application instructions. Those paragraphs are not exactly boilerplate but could be considered fluff. Safer to remove them? The instruction: "Remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, and application instructions." It does not explicitly say to remove motivational fluff. However earlier they said "Prefer a few substantive sections over many thin ones." So we could keep them as part of About the role? Might be thin. I'd say we can omit the final motivational paragraphs to keep sections substantive. Thus final HTML:

  About the role

  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.

  The Credit Risk team develops intelligent systems that help Stripe identify high-risk accounts, minimize credit losses, and improve profitability. Credit risk is a complex machine learning problem that requires us to distinguish emerging risk from healthy business activity while giving legitimate users a clear and reliable experience. Our team consists of machine learning engineers who