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Qualified

Principal Software Engineer, Full Stack

Qualified

Principal Engineer driving technical direction for AI products at Salesforce. Leading initiatives for scalable architecture and team collaboration for high-impact solutions.

Posted 6/8/2026full-timeRemote • 🇺🇸 United StatesLead💰 $172,500 - $260,100 per yearWebsite

Tech Stack

Tools & technologies
AWSPostgresReactRuby on Rails

About the role

Key responsibilities & impact
  • Define and drive technical strategy for major product areas, ensuring long-term scalability, reliability, and developer velocity
  • Lead large, cross-team initiatives from concept through launch and iteration (including sequencing, dependency management, and stakeholder alignment)
  • Architect and evolve complex systems spanning frontend, backend services, and data models; make pragmatic tradeoffs that optimize for customer outcomes and operational excellence
  • Establish and evolve engineering standards (architecture patterns, testing strategy, performance budgets, reliability/observability practices) that scale across teams
  • Build AI-powered experiences using LLMs, embeddings, and related techniques where they create real user value, with strong engineering around evaluation, observability, and iteration
  • Proactively identify and eliminate systemic risks: reliability gaps, performance bottlenecks, scaling constraints, and operational toil
  • Mentor and develop engineers across levels; amplify impact by coaching technical leaders and raising the bar for design and execution
  • Communicate clearly and influence effectively across engineering, product, design, and leadership—especially during high-ambiguity decisions

Requirements

What you’ll need
  • Deep experience shipping and operating production full-stack web applications at scale
  • Demonstrated ability to set technical direction and drive alignment across multiple teams or workstreams
  • Strong track record delivering large, complex initiatives with meaningful dependencies and cross-functional stakeholders
  • Excellent systems thinking: you can reason about architecture, performance, reliability, and developer experience as a cohesive whole
  • Hands-on experience applying AI/ML in product (LLMs, embeddings, or similar), with strong judgment about evaluation, safety/reliability, and user trust
  • Comfortable operating in ambiguity and creating clarity: framing problems, defining approaches, and making decisions that stick
  • Strong communicator: you can write and speak clearly to different audiences and drive decisions through influence
  • Product-minded: you care about UX and customer outcomes, not just implementation
  • Ownership mindset and bias for action
  • Experience with modern web frameworks (Rails/React/Postgres/AWS is a plus; adaptability matters most)

Benefits

Comp & perks
  • time off programs
  • medical insurance
  • dental insurance
  • vision insurance
  • mental health support
  • paid parental leave
  • life and disability insurance
  • 401(k)
  • employee stock purchasing program

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
full-stack web applicationsAI/MLLLMsembeddingsarchitecture patternstesting strategyperformance budgetsreliability practicesobservability practicessystems thinking
Soft Skills
leadershipcommunicationinfluencementoringproblem framingdecision makingownership mindsetadaptabilitycustomer focuscollaboration