fullstack3.0 - 5 yrsRemote
pythonsqlai/mlsalesforce data cloudmulesoftapiservice cloud

At realfast, we're building the future of enterprise AI—not by replacing humans, but by amplifying what makes them exceptional. Founded by proven operators with decades of scaling experience, we're solving the last mile problem in enterprise AI: the gap between impressive demos and production deployment. Our AI agents work alongside Salesforce developers to eliminate tedious work like unit testing and configuration management, freeing them to focus on architecture, strategy, and the human interactions that drive real business value.

We're backed by PeakXV Partners (formerly Sequoia India and SEA) and RTP Global, and we're building AI that makes humans more human, not obsolete. If you're excited about building production-grade AI that delivers measurable results and want to be part of transforming how enterprise software gets built, we'd love to meet you.

What you'll do

  • Lead technical discovery sessions with client stakeholders, translating their pain points into actionable solutions
  • Work directly with prospects during the sales process to prove technical feasibility
  • Manage complex implementations from initial POC through production deployment
  • Present technical solutions to executive teams and make the complex simple
  • Build compelling POCs and demos that showcase what's possible with enterprise data at scale
  • Design AI/ML workflows that automate business processes customers actually care about
  • Architect end-to-end data pipelines using Salesforce Data Cloud, MuleSoft (good to have) and whatever integration tools get the job done

What you'll bring

  • 3-5 years of enterprise data engineering with proven client-facing implementation experience
  • Self-starter mentality with the ability to lead implementations in ambiguous client environments
  • Worked with stakeholders across multiple data and engineering problems
  • Strong Python and SQL skills with the ability to build robust data pipelines
  • Experience integrating AI/ML capabilities into automated business workflows
  • Excellent communication skills – you can explain complex technical concepts to non-technical executives
  • Track record of building technical demos and POCs that help close enterprise deals
  • Expert-level platform skills – Salesforce Data Cloud, APIs, Service Cloud, and case management systems (Good to have)

This role is for you if

  • You love the thrill of presenting technical solutions to skeptical executives and winning them over
  • You're energized by client-facing work and building relationships with technical and business stakeholders
  • You can balance building robust production systems with creating quick, impressive demos
  • You want to see the direct impact of your technical work on business outcomes
  • You thrive in dynamic environments where requirements change based on client feedback

This role is NOT for you if

  • You prefer building systems in isolation without client interaction or presentations
  • You need detailed specifications before you can start architecting solutions
  • You're uncomfortable with the ambiguity that comes with enterprise client implementations
  • You want to focus purely on technical work without business or sales involvement
  • You prefer working on long-term projects rather than rapid POC development and iteration
Senior data engineering specialist with 3-5 years experience in Python and SQL, and familiarity with Salesforce Data Cloud and AI/ML integration.