Process Street

Account Executive

• Own the full sales cycle from first discovery call to close
• Run discovery calls to understand prospects' workflow pain points
• Present and demo Process Street to prospective clients
• Sell Process Street and Dash, articulating how AI agents change the way teams operate
• Leverage AI tools to optimize sales workflows, boost productivity, and shorten the feedback loop
• Build and refine the inbound conversion playbook
• Maintain accurate CRM records and pipeline hygiene
• Collaborate with Customer Success on handoffs and early expansion opportunities
• Meet and exceed monthly activity metrics and quarterly pipeline targets

Explore Account Executive at Process Street. Review requirements and application details.

AI Engineer

• Architect and evolve backend systems using Scala, Play, Postgres, and AWS
• Design and deploy scalable APIs and AI-assisted services
• Own feature development end to end, from ideation to production
• Build frontend features using React, Chakra, Storybook, and modern state tools
• Develop and maintain agent-driven development workflows
• Use Claude Code and Codex to accelerate implementation, debugging, and refactoring across parallel sessions
• Create internal tooling, prompts, and engineering systems to improve velocity and code quality
• Optimize performance across frontend, backend, and AI-assisted pipelines
• Help define best practices for AI-native software development
• Eventually lead a small team of 2–3 engineers and shape how they work with AI
• Help architect and evolve Process Street into an AI-native product and engineering organization
• Define how engineers collaborate with AI, how codebases are structured for agent interaction, and how workflows evolve with AI as a first-class participant

Explore Senior Software Engineer – AI SaaS at Process Street. Review requirements and application details.

Senior Software Engineer – AI SaaS

• Architect and evolve backend systems using Scala, Play, Postgres, and AWS
• Design and deploy scalable APIs and AI-assisted services
• Own feature development end to end from ideation to production
• Build frontend features using React, Chakra, Storybook, and modern state tools
• Develop and maintain agent-driven development workflows
• Use Claude Code and Codex to accelerate implementation, debugging, and refactoring across parallel sessions
• Create internal tooling, prompts, and engineering systems to improve velocity and code quality
• Optimize performance across frontend, backend, and AI-assisted pipelines
• Define best practices for AI-native software development
• Eventually lead a small team of 2–3 engineers and shape how they work with AI
• Solve problems during six-week Shape Up cycles and improve systems, tooling, or explore ideas during two-week cooldowns
• Collaborate asynchronously and autonomously across a global remote team