# Staff Software Engineer (AI Native Development) at Payroll Integrations Inc > United States · Staff · Software engineering · open. Source: https://alderhq.app/jobs/greenhouse%3Apayrollintegrationsinc%3A4432940009 (read 2026-11-11). ## Facts (observed) - Company: [Payroll Integrations Inc](https://alderhq.app/companies/payroll-integrations-inc) - Location text: Marietta, GA, Carlsbad, CA, New York, NY; Carlsbad; Marrieta; New York - Where it can be done from (inferred): United States (evidence: "Location: Marietta, GA, Carlsbad, CA, New York, NY; Carlsbad; Marrieta; New York") - Posted: 2026-10-04 (38 days ago) - First seen by alder: 2026-11-07 · last verified: 2026-11-08 - Reposted: 0 times · edited: 0 times - Apply on the employer's site: https://www.payrollintegrations.com/careers?gh_jid=4432940009 - Skills listed (inferred): TypeScript, JavaScript, Node.js, LLMs ## Pay and sponsorship - Posted pay: not posted - Market band for similar posted roles (New York, n 342): p25 $200k, median $230k, p75 $265k ## Description (the employer's text) ### Staff Software Engineer (AI-Native Development) Team Engineering Location Hybrid (Carlsbad, CA, Marietta, GA, New York, NY), US Revised 3 Oct 2026 ### About Payroll Integrations Payroll Integrations is a technology platform that powers secure data connections between payroll providers and the financial and benefits platforms that rely on payroll data. We automate retirement contributions, benefits deductions, and other payroll-based financial workflows by connecting more than 100 payroll providers with 401(k) recordkeepers, benefits platforms, and administrators, so our clients can eliminate manual data exchange. We are an AI-forward company, and engineering is where that shows first. We are moving to an agentic-first delivery model: engineers write implementation specs and tests, and AI agents do most of the typing. AI reviews every pull request alongside a human. Vetted skills encode how we build, test, and ship so that the output is consistent whoever, or whatever, produced it. This role exists to help lead that shift. ### About the role We are hiring a Staff Software Engineer to lead AI-native development at Payroll Integrations. This is a new role and the most senior individual contributor position in engineering. Working with engineering leadership and our AI advisor, you will help set the standards for how our engineers work with AI: what good looks like, how we verify it, and where the line is. You will build the toolchain that makes agentic delivery repeatable, and you will ship production software with it yourself, across our teams, so the standards you help set are ones you have proven. You bring deep, current knowledge of how large language models and coding agents actually behave: their strengths, their failure modes, and how to design workflows that get the former without the latter. You are as comfortable writing an eval as writing a migration, and you can explain both to a room that has written neither. The work moves money and benefits data for real people, so we hold a high bar for correctness. A change is done when its tests prove it, not before. This position is fully remote for candidates anywhere in the United States. We prefer people who work Eastern time hours. ### What you will do - Help set the standard. Work with engineering leadership and our AI advisor to define how Payroll Integrations builds software with AI: the workflow, the guardrails, the review bar, and what done means for agent-produced code.Standards - Build the toolchain. Design and maintain the skills, agents, prompts, evals, and CI checks that make agentic delivery repeatable and trustworthy across teams.Toolchain - Prove it in production. Ship features across our teams using the workflow you define, and use what you learn to improve it.Delivery - Own correctness. Hold every change, yours or an agent’s, to clean architecture boundaries and to tests that cover the real risk: money, deductions, permissions, and integration boundaries.Quality - Measure what works. Instrument AI-assisted delivery, from cycle time and defect rates to review findings and cost, and report plainly on what the tools are and are not doing.Standards - Govern responsibly. Help shape policy for what data may reach which models, how AI-generated code is reviewed and attributed, and how we stay inside our security and compliance obligations.Standards - Lead through others. Coach engineers and product managers on effective, honest use of AI, and raise the whole team’s judgment, not just its throughput.Leadership - Decide at your level. Make and document the architecture and tooling decisions that are expensive to reverse, and push back with evidence when a request does not hold together.Leadership ### What you bring - Experience. Ten or more years building production software, including time operating at staff or principal level, with deep TypeScript or Node.js experience on a cloud platform. - Deep AI knowledge. You understand how large language models work well enough to reason about them: context engineering, tool use and agent loops, caching, evals, and the ways models fail. You have built with them, not just used them. --- Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Apayrollintegrationsinc%3A4432940009 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.