22 hours ago
Base Salary
$135k - $225k/yr
Responsibilities
- Build AI-powered product capabilities for financial onboarding, data ingestion, reconciliation, validation, exception handling, and operational review.
- Design systems combining model-driven reasoning with deterministic financial execution and guardrails.
- Build workflows that trace financial values to source evidence and prevent downstream execution when validation fails.
- Create ingestion and normalization systems for messy exports, historical records, customer files, and inconsistent provider formats.
- Develop evals, testing harnesses, observability, and feedback loops to measure AI quality.
- Partner with product, design, operations, compliance, and platform teams to identify and deliver AI product opportunities.
- Prototype in ambiguous product areas and scale successful solutions into reusable product and platform primitives.
- Help establish engineering standards for correctness, auditability, security, reliability, and production safety.
Requirements
- Strong software engineering fundamentals and experience building production systems at meaningful scale.
- Experience designing backend systems, data models, APIs, workflows, or platform infrastructure for complex business domains.
- Strong judgment regarding reliability, correctness, edge cases, and operational risk.
- Interest in applied AI, LLMs, agents, evals, retrieval, structured extraction, or AI-assisted workflows.
- Ability to determine where AI should be used, where deterministic systems should take over, and how to build guardrails around model-driven workflows.
- Product sense and comfort operating in ambiguous problem spaces.
- Ability to partner with product managers, domain experts, operations teams, and engineers to turn messy workflows into scalable software.
- Ability to take a problem from customer pain through architecture, implementation, rollout, measurement, and iteration.
Benefits
- Competitive salary, benefits, and equity are offered, with US salary ranges aligned to location tiers.
- Office-based employees within the defined radius of a Rippling office are expected to work from the SFO office at least three days per week under current policy.
- Equal opportunity employment and reasonable accommodations are provided.
Categories
About Rippling
Rippling builds a unified workforce management platform that combines HR, payroll, IT, and finance software for businesses on a single system. Its SaaS suite covers onboarding, payroll, time tracking, benefits, device and identity management, spend/expenses, and accounting integrations with ERPs like NetSuite, QuickBooks, Microsoft Dynamics 365, and Oracle. Founded in 2016 and headquartered in San Francisco, Rippling is privately held and serves companies from startups to large enterprises.