Staff Software Engineer - Fraud
Mercury is hiring a Staff Software Engineer - Fraud for a remote role open to applicants in United States. It pays $201k-$299k a year and Level rates it ; you can apply on Mercury.
Level's read on this job
- Little AI ●○○○ is how Level rates this software engineer role: aI is not part of the work.
- The listed pay starts 20% above the typical software engineer posting on Level.
- The posting lists this role as remote.
- Level classifies it as a lead role.
- Level lists 75 other open roles at Mercury.
AI in this role
Every new business that applies to Mercury is like a new star appearing in the night sky. On its own, it’s a single point of light. But when we look closer, patterns emerge—data trails from partners, filings, founders, and financial histories—all connecting to form a larger constellation.
That’s what our Risk product engineering teams do at Mercury. We guide thousands of business applications through our systems—each one unique, each one needing a smooth and trustworthy landing. The challenge: keep everything moving fast without compromising safety. Every day, our work helps founders open their first account, launch their next idea, and accelerate their growth like rocketships.
Our mission is to build the intelligent, automated systems and operational tools that make this possible—where machine learning, AI, and human judgment work seamlessly together to power the next generation of business banking*. We use intelligence to detect risks earlier, make real-time decisions with confidence, and enable instant, delightful account approvals that keep pace with the builders we serve.
When we do it right, the result is quiet brilliance: onboarding that feels effortless, even though it’s powered by galaxies of data, precision, and care.
We’re looking for a Staff Software Engineer to contribute with building the systems and tools that make it all happen—from application approvals to ongoing and enhanced due diligence—ensuring every business that joins Mercury is both safe and their experience is delightful.
As part of this role, you will:
- Lead the architecture, implementation, and long-term roadmap for core systems which support multiple fraud prevention use cases.
- Own the end-to-end delivery of large cross-function projects, translating ambiguous high impact problems into strategy and execution, make pragmatic tradeoffs, and drive teams to measurable outcomes.
- Design, build, and operate highly available, low-latency, backend systems that enable real-time scoring and decisioning for fraud prevention.
- Partner with Data Science and ML teams to productionize models, build reliable ML data pipelines, and enable real-time model serving.
- Establish and elevate department level best practices, review designs, drive engineering quality, and act as a trusted advisor on architectural tradeoffs.
- Mentor and grow engineers, documenting learnings and sharing technical direction through writing, 1:1s, and team meetings
- Navigate and influence multiple stakeholders, help align teams, communicate tradeoffs to technical and non-technical partners, and independently resolve cross team issues.
The ideal candidate for the role:
- Has 7-10+ years of software development experience, with a strong focus on the backend, with a knowledge of or excitement to learn Haskell.
- Has been an experienced technical lead making architectural decisions in the past and seen the impact of those decisions over time. You should be able to clearly articulate your technical opinions and lay out tradeoffs.
- Is passionately product-minded and has experience building and shipping new products balancing reliability and velocity.
- Is someone comfortable driving discussions in areas with ambiguous ownership, approaches them with empathy, and delights in getting outcomes. Our work touches many other teams and areas of the product; you’ll have a lot of autonomy and the expectation is you’ll use that to seek out ways to have an impact.
- Is ridiculously helpful, taking initiative to make your coworkers’ lives easier by investing time to mentor and proactively share your knowledge and learnings through writings, 1:1s, and team meetings.
- Experience in fintech, fraud systems, or the broader risk domain is a strong plus.
If this role interests you, we invite you to explore our public demo at personal-demo.mercury.com.
*Mercury is a fintech company, not an FDIC-insured bank. Banking services provided through Choice Financial Group and Column N.A., Members FDIC.
Mercury values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Mercury are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected characteristic. We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities or special needs. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.
#LI-RA1
Total Rewards
The total rewards package at Mercury includes base salary, equity (stock options/RSUs), and benefits.
Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a candidate’s experience, expertise, geographic location, and internal pay equity relative to peers.
Our target new hire base salary ranges for this role are the following:
US employees (any location):$200,700—$298,800 USDCanadian employees (any location):$189,700—$282,400 CADHow we rate this
Staff Software Engineer - Fraud at Mercury rates 35 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Also common in software engineer jobs at this level
Pay
- This job starts at
- $201k
- Typical software engineer job
- $167k
This posting starts 20% above the typical software engineer job. See software engineer jobs
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