Founding Engineer
Cleartech Recruiting · New York, New York, United States
FULL TIMEpermanent
Job Description
Senior-Level Software Engineer, Fintech PlatformOur client is a venture-backed fintech company building core infrastructure for consumer lending. Their platform connects retail partners with financial institutions so new financing products are easier to launch and deliver at the point of sale. The company is growing quickly and hiring engineers to build the platform behind it.
Qualifications, skills, and all relevant experience needed for this role can be found in the full description below.
What you’ll work onThe pricing core. Turn the pricing engine into the foundation every financing decision runs through, across products, many lenders, and multiple jurisdictions. It has to be fast, auditable, and exact.Deal intelligence. Help partners spot opportunities across the life of each deal and know when to act.Partner integrations. Grow a small set of integrations into a reliable, extensible network of partner systems, lenders, and data providers.Data and modeling. Build models that price risk, generate asset-level insights, and turn platform data into a real advantage for partners.AI-native workflows. Use LLMs and agents to automate manual work, and build tooling that lets AI work safely with internal systems and data.A platform that scales. Multi-tenant infrastructure, security, and monitoring built for financial data.
What we’re looking for3+ years building and running production software, with solid Python and TypeScript/React experienceStrong SQL and relational modeling, including comfort running migrations against live production databases and planning rollbacksExperience integrating with external APIs and data feeds that are messy, rate-limited, or poorly documentedPrecision with numbers: you test financial logic, check edge cases by hand, and treat rounding and units as real bugsComfort owning work end to end: database, API, UI, deploy, and verifying it in productionClear written communication, including explaining results to both technical and non-technical audiencesA strong ownership mentality: you care whether features work for customers in production, not only whether the PR merged
Nice to haveBackground in consumer lending, auto finance, or retail point-of-sale systemsQuantitative modeling experience (pricing, forecasting, or risk models)Experience with a major cloud provider (Azure a plus)Experience building with LLMs in production or in your own workflowExperience building AI-powered tools or MCP (Model Context Protocol) serversTime at an early-stage startup, where you set your own priorities and ship with little process
What success looks likeSuccess is a platform partners trust with real money and rely on to run their business, not a count of features shipped. xzbcwsv In your first year, you’ll own core pieces of the platform, help bring AI into how the team builds and how partners work, and lay the engineering foundation a larger team will grow on.
Why this roleVenture-backed, with an established partner network, so your work reaches real customers quicklyJoin at a stage where one engineer can materially shape the productWork directly with company leadership and own real technical decisions
CompensationBase salary $140,000–$160,000, plus meaningful equity, healthcare coverage, and additional benefits.
Qualifications, skills, and all relevant experience needed for this role can be found in the full description below.
What you’ll work onThe pricing core. Turn the pricing engine into the foundation every financing decision runs through, across products, many lenders, and multiple jurisdictions. It has to be fast, auditable, and exact.Deal intelligence. Help partners spot opportunities across the life of each deal and know when to act.Partner integrations. Grow a small set of integrations into a reliable, extensible network of partner systems, lenders, and data providers.Data and modeling. Build models that price risk, generate asset-level insights, and turn platform data into a real advantage for partners.AI-native workflows. Use LLMs and agents to automate manual work, and build tooling that lets AI work safely with internal systems and data.A platform that scales. Multi-tenant infrastructure, security, and monitoring built for financial data.
What we’re looking for3+ years building and running production software, with solid Python and TypeScript/React experienceStrong SQL and relational modeling, including comfort running migrations against live production databases and planning rollbacksExperience integrating with external APIs and data feeds that are messy, rate-limited, or poorly documentedPrecision with numbers: you test financial logic, check edge cases by hand, and treat rounding and units as real bugsComfort owning work end to end: database, API, UI, deploy, and verifying it in productionClear written communication, including explaining results to both technical and non-technical audiencesA strong ownership mentality: you care whether features work for customers in production, not only whether the PR merged
Nice to haveBackground in consumer lending, auto finance, or retail point-of-sale systemsQuantitative modeling experience (pricing, forecasting, or risk models)Experience with a major cloud provider (Azure a plus)Experience building with LLMs in production or in your own workflowExperience building AI-powered tools or MCP (Model Context Protocol) serversTime at an early-stage startup, where you set your own priorities and ship with little process
What success looks likeSuccess is a platform partners trust with real money and rely on to run their business, not a count of features shipped. xzbcwsv In your first year, you’ll own core pieces of the platform, help bring AI into how the team builds and how partners work, and lay the engineering foundation a larger team will grow on.
Why this roleVenture-backed, with an established partner network, so your work reaches real customers quicklyJoin at a stage where one engineer can materially shape the productWork directly with company leadership and own real technical decisions
CompensationBase salary $140,000–$160,000, plus meaningful equity, healthcare coverage, and additional benefits.
Details
| Company | Cleartech Recruiting |
| Location | New York, New York, United States |
| Type | FULL TIME |
| Niche | hr |
| Experience | permanent |