Join Our Engineering Talent Community

Summary

Invoca is an AI-powered revenue execution platform that brings together marketing, commerce, and contact center teams to turn every customer interaction into measurable, profitable growth. The Engineering Talent Community connects engineers across product development, reliability, security, data, quality, delivery, customer deployment, and architecture for future opportunities, with a focus on AI-assisted development and measurable engineering outcomes.

Responsibilities

• Take clear accountability for a defined part of Invoca's engineering lifecycle in your domain, whether that's reliability, security, data, quality, delivery, customer deployment, or architecture
• Hold yourself to a high bar for what “good” looks like in your work, even before others are asking for it
• Use AI and agentic workflows in your day-to-day work, testing, code review, incident response, data validation, or similar, wherever they meaningfully improve speed or quality
• Bring new AI-assisted approaches to your team and help others see what's possible
• Follow and help strengthen shared practices and tooling in your domain, and flag where team-specific workarounds are creating friction
• Look for opportunities to turn what you've learned into something reusable for your team
• Understand how your work affects your team's velocity, quality, or customer trust, and make decisions with that in mind
• Communicate the reasoning behind your technical choices in terms your team and stakeholders care about
• Build a track record of reliable, high-quality delivery in your domain
• Seek feedback, learn from senior engineers, and steadily grow your ability to influence decisions beyond your immediate tasks

Skills

• Solid experience in your engineering specialization, with examples of work that held up in production
• Curiosity about AI and agentic workflows, and a willingness to try new tools rather than defaulting to how things have always been done
• Good technical judgment with a bias toward simple, working solutions over elaborate ones
• Ability to explain your technical decisions in terms non-experts can understand
• Comfort partnering with teammates across engineering, product, and other functions
• Ownership mindset, curiosity, and adaptability in a fast-moving, evolving technical environment

Qualifications

Must Haves

• Solid experience in your engineering specialization, with examples of work that held up in production
• Curiosity about AI and agentic workflows, and a willingness to try new tools rather than defaulting to how things have always been done
• Good technical judgment with a bias toward simple, working solutions over elaborate ones
• Ability to explain your technical decisions in terms non-experts can understand
• Comfort partnering with teammates across engineering, product, and other functions
• Ownership mindset, curiosity, and adaptability in a fast-moving, evolving technical environment

Benefits

• Remote work