SkillsEngine: Accelerating product & design with ...

AI Startup

San Francisco, CAOn-siteContract$140k – $220k / year

About this role

Replit — SkillsEngine: Accelerating product & design with Replit Teams SkillsEngine: Accelerating product & design with Replit Teams Mon, Jul 15, 2024 Updated at: Tue, Jul 16, 2024 JB Jeff Burke Replit Teams transformed the SkillsEngine Product and Design team from a traditional no-code department to a prolific team that writes, shares, and ships code. In the process, the team unblocked engineering bottlenecks, improved prototype fidelity, shipped faster, and saved thousands of dollars and resources. > "I have tried every no-code tool and AI app. I have been coding for nearly 15 years now. Nothing has sparked the creative code output that Replit has for me. I have coded more in the past 12 months than the previous 10 years because it makes it so easy to get started and just try stuff. We can just focus on building ideas.” - Max Miner, Executive Director of Product and Design SkillsEngine overview SkillsEngine develops data services and tools for employers, educators, and workforce interests. Employers use SkillsEngine data to confidently assess their workforce capabilities and hiring needs. Educators use features like skill-based job profiles to plan curricula that meet current job market needs. SkillsEngine platform Challenges For the SkillsEngine Product and Design team, speed of iteration and execution is a critical measure of success. Two tasks commonly take up their time: - Prototyping - Creating and testing MVP versions of new applications and ideas internally and externally - Internal tools - Using APIs and integrations to connect systems or make batch updates to existing systems However, both have significant challenges: core engineering resources are limited, and hiring external contractors can be costly. Using no-code tools is an option, but SkillsEngine found them cumbersome, wasting significant time working around limitations: The pain of setting up a local development environment > “We are basically making the decision between f

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