Senior Product Engineer (AI)

TL;DR

Senior Product Engineer (AI): Own end-to-end customer and business outcomes by shipping full-stack product and platform improvements with an accent on React/Node/Python delivery, AWS multi-tenant reliability, and AI-assisted workflows. Focus on product judgment, security/PII handling, and building leverage so embedded teams move faster after the work is done.

Location: Not specified

Company

hirify.global builds consent-based marketing products, including TrustedForm, to help companies acquire qualified customers while documenting opt-in consent for TCPA compliance.

What you will do

• Own outcomes end-to-end: frame problems, design, ship, and take responsibility for the metric; prototype quickly and descoping to the cheapest working version.
• Stay close to customers by shadowing sales/support and using customer reality to drive technical decisions on what to build, defer, or kill.
• Own a domain across product surface and platform: interfaces, reliability, performance, and security, including on-call for owned systems.
• Build and scale full-stack experiences: ship responsive, accessible React UI and back it with Node.js and Python services/APIs; keep cloud batch platform and data pipelines reliable as usage grows.
• Architect AI-driven leverage by building AI-assisted workflows and critically reviewing AI output for correctness, hidden bugs, and security issues.
• Multiply teams through mentorship, decision memos/ADRs, and enabling Product/Design to self-serve.

Requirements

• Track record of shipping something end-to-end and owning the outcome, not just the code.
• Strong product judgment: push back on bad specs, propose the cheapest experiment, descoping well, and collaborating with Product on solutions.
• Deep full-stack expertise: React (component lifecycle, state management, rendering optimization), JavaScript/TypeScript, modern CSS; Node.js and Python services; RESTful APIs; asynchronous data handling.
• Cloud and data-pipeline depth on AWS (Lambda, EC2, S3, DynamoDB, API Gateway) plus batch/workflow orchestration (Step Functions, Airflow or similar) for multi-tenant products.
• Strong UI/UX eye and ability to turn ambiguous requirements into intuitive, accessible, user-centric journeys.
• Security mindset for sensitive consumer data and compliance; clear written and verbal communication; mentorship experience; 5–10% travel.

Culture & Benefits

• Forward-deployed engineering model: embed into the pod/team where the problem is, ship outcomes, and bring learnings back.
• High technical bar with judgment emphasized: decide what’s worth shipping and when AI output is sufficient versus when to override.
• Customer proximity: shadow sales/support and participate in advisory conversations to keep technical decisions grounded.
• Ownership culture: responsibility for metrics, reliability, performance, and security, including on-call for owned systems.
• Team leverage: mentorship focused on product sense and judgment, plus decision memos/ADRs to scale knowledge.