Sr. Software Engineer II - AI Tooling and Interfaces - Rockerbox

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

$107K-$193K From the posting source checked Jun 20, 2026

401(k) match

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

29% above the BLS role benchmark for software engineering aggregate.

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Senior From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

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Company

Company stage

Public-company From the posting source checked Jun 20, 2026

Equity

Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter

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Assessment

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Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Sr. Software Engineer II - AI Tooling and Interfaces - Rockerbox United States Who Are We Rockerbox is building the next generation of marketing intelligence, and we're looking for someone to help us build the AI systems everyone else just theorizes about. As a Sr. Software Engineer II in AI Tooling and Interfaces, you'll design and build systems purpose-built for AI agents, automations, and decisioning engines that drive real outcomes for our clients and internal teams. If you enjoy turning high-volume data into clean, powerful systems-and you want your work to drive real business outcomes rather than just dashboards-this role puts you right at the center of the action. What You'll Do - Work closely with engineers, product managers, and data teams to identify and prioritize AI opportunities across the organization. - Translate product requirements into AI-driven solutions that directly impact the client experience. - Build end-to-end automations using LLMs, internal data, and external signals to eliminate repetitive tasks and unlock new client-facing capabilities. - Design and implement agentic workflows and orchestration pipelines that automate complex, multi-step processes. - Design retrieval, orchestration, and memory layers that make our AI agents smarter over time. - Establish best practices for AI data quality, observability, and safety. What You Bring - 6+ years of experience in software engineering, data engineering, or large-scale distributed systems. - Hands-on experience integrating LLMs into production systems (embeddings, RAG, vector stores, or agent orchestration). - Strong proficiency in Python and SQL. - Experience with Kubernetes and container-based infrastructure

Read the full description at job-boards.greenhouse.io. FewerJobs shows a preview and links to the original posting.