Lead Software Engineer

## Lead Software Engineer Apply remote type:
Remote locations:
United States - Remote:
Austin, TXtime type:
Full time posted on:
Posted Yesterday job requisition :
JR102829#
** Welcome to the Agentic Commerce Era**## At Commerce, our mission is to empower businesses to innovate, grow, and thrive with our open, AI-driven commerce ecosystem. As the parent company of Big Commerce, Feedonomics, and Makeswift, we connect the tools and systems that power growth, enabling businesses to unlock the full potential of their data, deliver seamless and personalized experiences across every channel, and adapt swiftly to an ever-changing market.

We believe in harnessing AI responsibly to unlock new possibilities, and we’re looking for individuals who use it intentionally to solve problems, accelerate outcomes, and expand what’s possible in their role. Our purpose is to help businesses confidently solve complex commerce challenges so they can build smarter, adapt faster, and grow on their own terms. If you want to be part of a team of bold builders, sharp thinkers, and technical trailblazers who shape the future of commerce, this is the place for you.

We’re seeking a highly accountable, and impact-driven AI Lead Software Engineer to play a pivotal role in shaping and executing our AI vision. As a key member of technical staff, you’ll collaborate closely with senior Product and Engineering leaders to drive strategic initiatives and deliver results through cutting-edge AI  this role, you’ll lead the design and implementation of multiple AI-based product solutions, enabling rapid experimentation and implementation for a variety of product use-cases across the business.

Success will require exceptional written and verbal communication skills, an ability to contribute to high level designs and translate into low level designs, a strong bias for action, a focus on measurable outcomes, and a commitment to continuously improving the capabilities of the organization through mentorship, coaching and evangelization.

Big Commerce part of the Commerce brand family, helps merchants increase sales at every stage of their growth. From small startups to mid-market businesses and large enterprises, we provide the leading e-commerce platform. Our customers can then concentrate on what's most important: growing their businesses. We enable our customers to build, innovate, and grow, collectively reshaping the e-commerce industry
** What You’ll Do
*** Interface with team members across one or more domains, executives and stakeholders across the business to provide context, direction setting and technical guidance.
* Collaboratively contribute to and/or author high level designs and partner with key leaders to ensure strategic alignment.
* Serve as lead engineer for major initiatives, working across teams to develop and implement low level designs.
* Facilitate quick-turnaround solutions to address urgent business needs, striking the right balance between delivery speed, scalability, and reliability.
* Collaborate with Product & Engineering leadership to help shape the AI strategy.
* Assess technology options to establish fit for purpose and make selections to optimize ROI for the business.
* Build scalable solutions and systems that are secure, cost-effective and performant at very large scale.
* Deep understanding of and experience with RAG pipelines, MCP, AI agents, multimodal LLMs, prompt orchestration, LLM telemetry and inspection, etc.
* Upskill the organization by evangelizing technologies and identifying opportunities for experimentation and education.
** Who Are You
*** 5+ years of coding experience in one or more server-side languages (Python, GoLang, Java, etc)

* Education:

Preferred minimum Bachelor's degree in CS, EE, SW, CE, MIS; or equivalent experience
* Proven experience architecting and building AI/ML systems, especially in production environments dealing with structured and unstructured data
* Experience building product solutions with LLMs and GenAI technologies
* Experience working with product data pipelines and familiarity with e-commerce taxonomies, schemas, is highly preferred
* Familiarity with modern AI infrastructure (e.g.,…