Cardiff

Salesforce Developer

• You'll build on top of Salesforce and build the path off it, often in the same week.
• That means Apex, LWC, and SOQL where they're the right tool, and Python services on AWS calling Salesforce through its APIs where they're better.
• You'll own the integration layer that connects the org to the Cardiff API, Snowflake, our agent platforms, and our lender partners.
• You'll report to the Director of Engineering and work alongside our Salesforce Administrator, who owns configuration and data governance; you own code, integrations, and deployment.
• The team is small and senior; you'll work directly with the stakeholders in Sales, RevOps, Underwriting, and Marketing rather than through a layer of tickets.

Salesforce Administrator

• You own Salesforce day to day: configuration, data integrity, deployments, integrations, and the requests that come in from across the business.
• You'll report to the Director of Engineering and work directly with the stakeholders who live in the system, taking a request from discovery through documentation, build, testing, and release without needing someone to project-manage you through it.
• Configuration: Flows, validation rules, formula fields, page layouts, permissions, and object-level design; built so the next person can follow what you did.
• Data integrity: Field governance, deduplication, and reports the business can trust without checking them twice.
• Deployments: Sandboxes, version control, and CI/CD, so a Friday release doesn't take out someone's Monday.
• Integrations: The connections between Salesforce and everything around it: the Cardiff API, Snowflake, Twilio, our agent platforms, and lender APIs.
• The request queue: Scoping, tracking, and closing out work from Sales, RevOps, Underwriting, and Marketing, with status they don't have to chase you for.
• Documentation: What's built, why it's built that way, and what depends on it.
• The migration path: Helping move logic out of Salesforce and into AWS as we build it, and retiring what it replaces.

Software Engineer

• You own Cardiff's engineering department: the in-house engineering team, our outside contractors and offshore Salesforce developers, and the vendor relationships our roadmap depends on.
• You report to the Managing Partner and sit on the leadership team alongside operations, sales, underwriting, marketing, and finance; those departments are your internal customers.
• You'll set the delivery cadence, decide what gets built and what gets bought, keep production healthy, and be the single person the business goes to for a straight answer on status.
• The team is small and senior. Expect roughly 60% leading (planning, prioritization, review, unblocking, hiring) and 40% building; the ratio shifts toward building when we're behind.
• Cross-department program management runs in parallel to you rather than under you, and underwriting decisioning is owned by a dedicated hire who works directly with the Underwriting department.
• You'll partner with both; you won't be carrying their calendars.
• Delivery. Every committed date in the department, including the ones you inherit.
• The team. Hiring, onboarding, one-on-ones, performance, and growth for in-house engineers and contractors; you'll inherit an open Senior Full-Stack Engineer (AI-Native) req and run that search.
• The platform. Our Salesforce/Fundingo core, the Cardiff API, Snowflake, cloud infrastructure, and the migration path off legacy systems.
• AI products in production. Customer-facing agents for collections, renewals, and win-back campaigns, plus internal agents that take work off people's plates.
• The knowledge layer. The graph and the pipelines that feed it, and the standard that new systems connect to it.
• Vendors. Technical evaluation, integration ownership, and honest reporting on whether a vendor is earning its invoice.
• Production quality and security. Uptime, data integrity, access control, and the incident response when something breaks.

Director of Engineering

AI Engineer

• Own each project end to end: backend, frontend, deployment, and iteration once it's live
• Design and launch AI agents that talk to customers, tied to results you can measure
• Work with the Lead AI Architect on architecture and the ongoing evolution of Cardiff's AI platform
• Build against our shared integrations: Salesforce, Snowflake, Gmail, Zoom, Slack, and internal tools
• Reach for best-in-class open source before building from scratch: where the work isn't core IP, adopting a strong community project (think Buzz, the agent-native workspace Block recently open-sourced) beats owning the support and upgrade burden of a homegrown clone
• Make AI tooling your default way of building, and read what it produces before it ships
• Ship a working v1 today and improve it Monday, instead of a 'perfect' v1 a month from now

Senior Full-Stack Engineer – AI-Native

Solutions Engineer

• Ship at least one production integration with a financial or credit data provider (Experian, Plaid, or a bank transaction source) end to end
• Implement automated validation and quality checks across the pipelines you own, so failures surface before they reach downstream consumers
• Ship or materially extend a FastAPI service that exposes provider data internally, with tests and documentation another engineer can pick up cold
• Deliver a documented data model and schema mapping for at least one provider domain, built alongside our domain experts and analysts
• Demonstrate one LLM-assisted extraction workflow on unstructured input (bank statements, credit memos), with output validation in place
• Design, build, and run the FastAPI services that expose financial and credit data to internal consumers: API design, auth, versioning, pagination, and clear error handling
• Own the integration layer with external providers (Experian, Plaid, bank transaction sources): retries, backoff, rate limiting, credential handling, and graceful degradation when a provider slows down or goes dark
• Build the pipelines that land provider data in Cardiff's systems, including Snowflake, using serverless ETL on AWS (Glue, Athena, Step Functions, S3 data lakes), supporting both batch and near-real-time ingestion
• Do the data modeling and schema mapping that keeps disparate provider formats semantically consistent, working with our domain experts and analysts
• Build integrations that meet Cardiff's security, privacy, and regulatory obligations, with Legal, Compliance, and Security owning final interpretation and sign-off
• Apply LLM APIs for extraction and classification of unstructured documents where it earns its keep, with model outputs validated before they enter the pipeline
• Maintain the unit tests, integration tests, and documentation for every component you own

Salesforce Developer

Salesforce Administrator

Director of Engineering

Senior Full-Stack Engineer – AI-Native

Python Engineer, Financial Data Platform – Integrations