Staff Software Engineer, Product

Jobgether; United States; Remote; USD 85,000 - 125,000; Full time

Benefits offered by this job

Fully remote work from anywhere

High ownership over technical choices

Work with modern AI coding agents

Fast-moving, collaborative environment

Job summary

Jobgether is seeking a staff-level software leader to steer technical direction for AI-powered product initiatives in a fully remote U.S. environment.

You will own architecture, data modeling, integrations, observability, and deployment strategies, collaborating with PMs and designers to deliver customer-focused solutions. You will guide AI agents, maintain high engineering standards, and drive post-launch evaluations while ensuring measurable business impact across conversion, retention, and

Qualifications

• Extensive software engineering experience at staff or lead level with track record of delivering complex initiatives.
• Hands-on experience using AI coding agents in daily production development (Claude Code, Cursor, Codex, etc.).
• Ability to direct AI agents with prompts, context mgmt, evaluation, testing, and code-review workflows.
• Deep technical expertise in at least one production-ready stack.
• Experience with PHP/Laravel; TS/React; Redshift/dbt/Segment/Airflow or AWS observability/tools.
• Strong understanding of software architecture, data modeling, integrations, testing, deployment, security and observability.
• Proven ability to work independently, make timely technical decisions, and balance autonomy with collaboration.
• Product-oriented mindset translating business goals into technical solutions.

Responsibilities

• Direct the technical direction of product initiatives including architecture, data modeling, integrations and deployment strategies.
• Own the full product lifecycle from planning through production release and post-launch review.
• Leverage AI coding agents to accelerate development with well-defined prompts and guardrails.
• Maintain high engineering standards for security, performance, reliability, and UX.
• Document architectural choices and involve reviewers for major decisions.
• Collaborate with PMs and designers to scope, prioritize, and deliver customer-focused solutions.
• Partner with engineers to ensure alignment across interconnected initiatives.
• Track metrics like conversion, retention, and unit economics; conduct post-launch reviews.

Skills

Technical leadership

AI agent usage

System architecture

Full-stack development

Tools

PHP & Laravel

TypeScript

React

Redshift / dbt / Segment / Airflow

AWS

Datadog

Sentry

GitHub Actions

Job description

Accountabilities

• Lead the technical direction of product initiatives, including architecture, data modeling, integrations, observability, deployment strategies, and rollback planning.
• Own the full product development lifecycle, from problem definition and technical planning through implementation, production release, and post-launch performance evaluation.
• Use AI coding agents to accelerate software development, designing effective prompts, guardrails, evaluation workflows, testing strategies, and review processes to ensure production-ready code.
• Maintain high engineering standards across security, performance, reliability, maintainability, and user experience, regardless of whether code is written by AI agents or engineers.
• Make independent technical decisions, document architectural choices, seek peer input when appropriate, and involve architecture reviewers for significant decisions.
• Collaborate closely with product managers and designers to prioritize opportunities, define scope, assess trade-offs, and deliver solutions aligned with customer needs and business objectives.
• Work alongside engineering peers in a shared codebase, contributing technical expertise and ensuring alignment across interconnected initiatives.
• Take accountability for initiative-level outcomes, working with product partners to track key metrics such as conversion, retention, professional service-provider engagement, and unit economics.
• Conduct post-launch reviews two to four weeks after release to evaluate results, identify lessons, and determine whether the initiative achieved its intended impact.
• Establish reusable AI development workflows, evaluation tools, runbooks, documentation, and best practices that improve engineering effectiveness across teams.
• Identify and address potential regressions through comprehensive tests, monitoring, staged rollouts, and appropriate quality-control measures.
• Deliver customer- and service-provider-focused improvements in a live marketplace environment, ensuring that technical decisions translate into tangible business and user benefits.

Requirements:

• Extensive software engineering experience operating at a staff or lead level, with a proven ability to make important technical decisions, deliver complex initiatives, and take responsibility for their outcomes.
• Strong, hands‑on experience using AI coding agents in daily production development, such as Claude Code, Cursor, Codex, or equivalent tools.
• Demonstrated ability to direct AI agents through effective prompting, context management, evaluation, testing, and code‑review workflows, while maintaining ownership of the resulting code.
• Deep technical expertise in at least one relevant technology stack, supported by credible experience delivering and maintaining production software.
• Experience with one or more of the following technologies: PHP and Laravel; TypeScript, React, or React Native; data platforms such as Redshift, dbt, Segment, and Airflow; or infrastructure and observability tools such as AWS, Datadog, Sentry, and GitHub Actions.
• Strong understanding of software architecture, data modeling, system integrations, testing, deployment strategies, security, performance optimization, and production observability.
• Proven ability to lead initiatives independently, make timely and well‑documented technical decisions, and balance autonomy with collaboration and appropriate review.
• Product‑oriented mindset, with the ability to translate business goals and customer needs into technical solutions and prioritize work based on measurable impact.
• Experience partnering effectively with product managers, designers, and engineering colleagues in cross‑functional teams.
• Strong analytical and critical‑thinking skills, including the ability to interpret performance metrics, evaluate outcomes, and use data to guide future decisions.
• Ability to develop reusable engineering practices and documentation that improve productivity and technical quality beyond individual projects.
• Customer‑focused approach, with an appreciation for the needs of both marketplace customers and service professionals.
• Excellent communication, collaboration, ownership, and problem‑solving skills.
• Comfortable working in a fast‑paced environment that values experimentation, continuous improvement, accountability, and high‑quality delivery.
• Interest in an individual‑contributor role with technical leadership responsibilities; people management is not required.

Benefits:

• Competitive annual base salary of USD $85,000–$125,000 .
• Fully remote work arrangement, with the flexibility to work from anywhere.
• High ownership and autonomy over technical decisions and product initiatives.
• Opportunity to work with modern AI coding agents and help shape AI‑assisted software engineering practices.
• Fast-moving, collaborative environment that encourages building, learning, and professional growth.
• Opportunity to influence products used by customers and service professionals in a substantial, active marketplace.
• Scope to expand technical leadership and contribute reusable tools, workflows, and engineering standards across teams.
• Potential pathway into people management for those interested in exploring management responsibilities in the future.