Build and maintain full-stack Finance and Business Systems with Ruby on Rails. Own architecture, coding, automated tests, DB tuning, deployments, and production support. Partner with Finance, Operations, and Engineering to create auditable, correct, and actionable unit-economics instrumentation. Participate in on-call rotation, hiring, and documentation.
About the Company
The Role
Responsibilities
What They Are Looking For
Compensation
A profitable, fast-growing SaaS platform in the mission-driven technology space, backed by a leading accelerator and a recent $140M growth investment. The company facilitates hundreds of millions in transactions annually and is on track to cross $100B in total volume over the next decade. With 130+ employees distributed across 30+ states and a $100M AI product investment underway, this is a company operating at meaningful scale with significant runway ahead.
- Remote-first role based in the US. Team members are expected to attend multiple company-wide and team-specific on-sites throughout the year.
- Contract to Hire after 3 months.
- Sponsorship not available.
This is not a traditional product engineering role. It is a deeply business-embedded engineering position at the intersection of Finance, Engineering, and Operations. The hire will build the systems and instrumentation that make unit economics visible, trustworthy, and actionable - working in close partnership with Finance, Operations, and Engineering leadership rather than from a standard product roadmap.
Ideal for a Rails engineer who wants to apply strong technical skills to real operational problems and who is motivated by business impact, not just feature delivery.
- Own full-stack delivery from UI to backend services, including database tuning and performance
- Build new features start to finish - architecture design, coding, automated testing, and production support
- Work closely with teammates in a fast-paced, agile environment across pods and the broader Engineering org
- Tackle technical issues throughout the stack and contribute to shared documentation
- Contribute to coding standards, tech debt refinement, and system security monitoring
- Participate in interviewing and onboarding new team members
- Participate in on-call support rotation (team-based, paired)
What They Are Looking For
- Strong experience with Ruby on Rails
- System design experience focused on incremental, scalable, resilient architecture
- Comfortable across the stack - backend services, databases, and light frontend
- Experience with modern frontend frameworks (React, Vue.js)
- SQL database experience (PostgreSQL, MySQL, SQLite)
- Deployment experience on Heroku, AWS, or similar
- 5+ years of hands-on development experience
- Comfort with financial concepts: margins, COGS, pricing, revenue recognition, or unit economics
- Experience building systems where correctness, auditability, and explainability matter
- Ability to work with non-technical stakeholders and translate ambiguous business questions into concrete technical work
- Comfortable with ambiguity - shaping the problem, not just executing against a spec
BONUS
- Deep Ruby on Rails and RSpec expertise
- Postgres database administration experience
- Shipped code supporting tens of thousands of users including enterprise customers
- Operations/SRE experience including networking, caching, database, and performance triage
- Experience in fundraising, crowdfunding, fintech, or payments products
- Startup environment experience
- Experience building internal tools for Finance or Operations teams
The base pay range for this role is $150,000 – $190,000 per year.
Similar Jobs
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Handle inbound/warm insurance sales leads, consult customers on Property & Casualty coverage, convert leads to policyholders, complete paid licensing and training, work assigned shifts in a remote home-office with provided equipment, and meet sales goals while maintaining strong customer service and integrity.
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Lead strategy and investment for Pfizer Oncology patient solutions platforms and co-pay/patient support programs. Transform programs from reactive to AI-enabled predictive support, set outcome-based KPIs, manage the US & Global Patient Experience team, own budgets and vendor selection, partner cross-functionally, and represent Pfizer externally on patient support innovation.
Top Skills:
AIConversational AiPredictive Analytics
Fintech • Machine Learning • Payments • Software • Financial Services
Provide high-touch concierge travel services for high-net-worth clients: book flights, hotels, vacation homes, and car rentals using GDS and online tools; liaise with suppliers to secure rates and perks; manage complex itineraries, tight deadlines, and flexible shift coverage including nights and weekends.
Top Skills:
Global Distribution System (Gds)Online Travel Tools
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
