Distinguished, Software Engineer, Growth Tech
About the role
We are transforming how we solve challenging and impactful business and technical problems in Growth Tech by maximizing agentic development tools such as Code Puppy, Claude Code and OpenAI Codex. We will use AI coding agents extensively across plan, spec, design, implementation, testing, refactoring, documentation, and operational workflows while developing practical standards for building scalable, reliable, secure production systems.
What You'll Do
Own the architecture and technical strategy
Be a role model in building scalable, reliable and secure software using Agentic coding tools
Lead and mentor an AI-agent-native engineering team
Redesign SDLC practices for agentic coding
Encode architecture and engineering standards into agent workflows
Define human review/governance practices
Collaborate with cross-functional teams to achieve our long-term business goals
Champion operational and engineering excellence
What You'll Bring
At least 8+ years of software engineering experience in building highly available systems
Proven track record of building successful software systems from inception to deployment
Proven track record of building solutions that solve highly complex business problems
Experience using AI coding tools such as Code Puppy, Claude Code, Codex, or similar systems in production development workflows
Familiarity with agentic coding workflows involving repository instruction files, tool permissions, MCP-style integrations, automated test execution, and multi-agent or parallel task execution
Expertise in service-oriented architecture, CI/CD, and operational excellence best practices
Outstanding problem-solving skills, with the ability to make design trade-offs, balancing long-term "big picture" considerations with short-term implications of design decisions
Effective communication and collaboration skills, including consensus building, conflict resolution, influence, and persuasion skills
Proven track record of mentoring and coaching engineers in technical problem-solving and career development
Curiosity and strong ability to learn new domains and technologies
Ability to deal with highly ambiguous problem space
Additional Compensation
Annual or quarterly performance bonuses
Stock
Benefits
Health benefits including medical, vision and dental coverage
Financial benefits including 401(k), stock purchase and company-paid life insurance
Paid time off benefits including PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting
Other benefits including short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more
Qualifications
Minimum Qualifications:
Option 1: Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 6 years’ experience in software engineering or related area.
Option 2: 8 years’ experience in software engineering or related area.
Preferred Qualifications:
Master’s degree in computer science, computer engineering, computer information systems, software engineering, or related area and 4 years' experience in software engineering or related area
We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly.