Senior/Staff Software Engineer

• Location: New York City, NY (SoHo)


• Company Stage of Funding: Series B / High-Growth AI Fintech


• Office Type: On-site (5 days/week in NYC)


• Salary: $175,000 – $250,000 Base


• Equity: Competitive


• Bonus: Competitive total compensation package


• Visa: Open to most visa sponsorships (except new H1B cases with significant sponsorship costs)

Company Description

• Our client is building the leading AI-native revenue platform for modern finance and accounting teams.


• The platform automates the entire contract-to-cash lifecycle including billing, collections, revenue recognition, reporting, and compliance.


• Founded in 2023 and already scaled to approximately 150 employees.


• Raised over $92M from Lightspeed Venture Partners, General Catalyst, and Primary Ventures, including a $55M Series B.


• Strong product-market fit with substantial overperformance against revenue targets.


• Customers include Cursor, Statsig, and other fast-growing technology companies.


• AI is deeply embedded into the product rather than existing as a standalone feature.


• Engineering challenges involve financial infrastructure, ERP integrations, commercial graph construction, billing systems, reconciliation engines, and AI-driven automation.


• Company is in the critical 1-to-10 scaling phase where architecture and engineering decisions will shape the future of the business.


• Leadership expects senior engineers to challenge assumptions, influence direction, and contribute to engineering culture.

What You Will Do

• Own complex technical projects from architecture through implementation and production deployment


• Design highly reliable, scalable, secure, and performant systems


• Build AI-driven financial workflows and automation platforms


• Partner closely with Engineering, Product, and Executive leadership


• Contribute technical direction across multiple engineering domains


• Build systems supporting billing, payments, ERP integrations, revenue operations, commercial graph infrastructure, AI/ML workflows, frontend platforms, and core infrastructure


• Drive technical discussions and challenge architectural decisions when appropriate


• Help define engineering standards and best practices


• Mentor engineers and elevate overall team performance


• Collaborate cross-functionally with Product, Design, Finance, and GTM teams


• Build production-grade systems operating at significant scale and complexity


• Shape engineering culture during a critical scaling phase


• Lead through technical excellence rather than direct people management


• Spend the majority of time writing code and solving technical problems


• Help establish long-term technical foundations for future company growth

Ideal Candidate Background

• 7–15 years of software engineering experience


• Experience building complex products at high-growth B2B SaaS, AI, or fintech companies


• Experience working at Series A–C startups or renowned engineering organizations


• Strong individual contributor background at Senior or Staff level


• Experience influencing architecture, product direction, and technical strategy


• Strong TypeScript and Python engineering skills


• Experience with AWS and modern cloud-native systems


• Familiarity with NestJS, Next.js, distributed systems, and backend infrastructure


• Strong computer science fundamentals including algorithms, distributed systems, and system design


• Experience working in highly collaborative cross-functional environments


• Demonstrated ability to mentor engineers while remaining hands-on technically


• Ability to challenge decisions constructively and defend technical opinions


• Strong engineering judgment and architectural thinking


• Experience operating during high-growth scaling phases

Strong Signals

• Staff Engineer or Senior Staff Engineer experience


• Experience at companies such as Ramp, Brex, Rippling, Datadog, Alchemy, Stripe, Cursor, or similar high-growth technology companies


• Prior fintech experience, especially AI-native fintech products


• Experience scaling systems during Series A through Series C growth stages


• Strong technical leadership without moving fully into management


• Demonstrated history of promotions and career progression


• Experience building financial infrastructure, billing systems, ERP integrations, or accounting platforms


• Strong system design and distributed systems expertise


• Experience mentoring and leveling up engineering teams


• Strong opinions on architecture and product direction backed by technical reasoning


• Experience building AI-powered workflows and automation systems


• Track record of owning critical company initiatives


• Deep understanding of engineering tradeoffs at scale


• Strong product partnership and cross-functional collaboration skills


• Consistent tenure and career stability

Compensation and Benefits

• Base salary: $175,000 – $250,000+


• Flexibility up to ~$275,000 for exceptional candidates


• Competitive equity package


• Backed by top-tier investors with strong financial position


• Opportunity to shape engineering culture during a major scaling phase


• High ownership and visibility across the organization


• Work directly with experienced engineering and product leadership


• Exposure to challenging AI, fintech, and financial infrastructure problems


• Significant influence on company architecture and technical direction


• Fast-moving startup environment with strong product-market fit

Why Join

• This is an opportunity to join one of the fastest-growing AI-native fintech companies in the market.


• The company has already achieved meaningful scale while still maintaining startup velocity and ownership.


• Engineers are expected to influence architecture, challenge leadership, and help shape company direction.


• The technical problems involve financial infrastructure, AI workflows, distributed systems, and large-scale integrations.


• The company is entering a critical scaling phase where strong engineers can leave a lasting impact.


• If you enjoy difficult technical problems, fintech infrastructure, AI-powered products, and high-autonomy engineering environments, this role offers exceptional scope and career upside.