Staff Software Engineer

Braze
San Francisco, New York
Full timeUSD 184,000 - 299,812 annuallyFunction: Software EngineeringExperience: 7+ yearsSkills: ["Autonomy","Accountability","Clear communication","Mentoring","User-centric mindset","Quality focus"]

Lead high-impact initiatives on Braze’s AI Decisioning Experience team, shaping reinforcement learning-based personalization across Decisioning Studio. Build end-to-end experiences from dashboard UI to APIs and services that connect the Braze platform to ML pipelines, while driving web application architecture for scalability and performance. Partner with Product, Design, and ML engineering to turn an AI product roadmap into reliable software, mentor engineers, and help ensure customer success for DS Go and DS Pro tiers.

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FursaFursa
Braze
Braze
5 days ago

Staff Software Engineer

✓ Verified Job

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Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live
Reposted: similar role first listed 4 days ago

Job Summary

Lead high-impact initiatives on Braze’s AI Decisioning Experience team, shaping reinforcement learning-based personalization across Decisioning Studio. Build end-to-end experiences from dashboard UI to APIs and services that connect the Braze platform to ML pipelines, while driving web application architecture for scalability and performance. Partner with Product, Design, and ML engineering to turn an AI product roadmap into reliable software, mentor engineers, and help ensure customer success for DS Go and DS Pro tiers.
Location: San Francisco, New York
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Lead high-impact initiatives across Decisioning Studio, including agent setup, creative and launch workflows, reporting, and services connecting UX to ML pipelines.
  • •Collaborate with Product, Design, and ML engineering to turn a fast-moving AI product roadmap into intuitive, reliable software.
  • •Build the full stack of the experiences, from dashboard UI down to APIs and services integrating the Braze platform with ML pipelines.
  • •Lead web application architecture efforts to ensure scalability, maintainability, and performance across the platform.
  • •Mentor engineers and support teams implementing Braze’s AI solutions to enable customer success and effective collaboration.

Pay and Benefits

Salary: USD 184,000 - 299,812 annually
Equity and Bonus:Equity
Perks:Health InsuranceDentalVisionLife InsuranceDisabilityRetirementEquityPaid LeaveLearning Budget

Key Requirements

  • •7+ years of relevant experience with a strong track record of delivering impact.
  • •Comfort working full stack—designing data models, building APIs and background jobs, and owning a product surface end to end.
  • •Strong frontend development skills with TypeScript and React (Vue experience is a plus), plus testing discipline for reliable user experiences.
  • •Strong background designing and maintaining scalable web application architectures.
  • •Expert practitioner of agentic development, including building reusable skills/automation for AI coding agents and achieving above-baseline throughput without sacrificing quality.
Experience:7+ yearsReinforcement learningMachine learningLLMsAgentic systems
Skills:AutonomyAccountabilityClear communicationMentoringUser-centric mindsetQuality focus
Languages:English
Tech Stack:TypeScriptReactVueAPIsWeb application architectureML pipelinesReinforcement learning-based personalizationLLMsEmbeddingsAgent orchestrationEvaluationPythonRuby on RailsData modelsBackground jobs

Company Brief

Braze
Provides a customer engagement platform that helps brands create personalized messaging and lifecycle campaigns across mobile, web, email, and other channels to drive retention, engagement, and revenue.
Industry: Enterprise Software
Company Size: Enterprise (1,001+ employees)
Revenue: USD 100M to 250M
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: New York, United States
Founded: 2011
WebsiteLinkedIn