Staff Engineer, Data and AI

Change.org
United States, Canada, Mexico
Workplace: RemoteFull timeFunction: Data Science & Machine LearningExperience: 7+ yearsSkills: ["Architectural leadership","Mentoring","Operational ownership","Technical influence"]

Build and scale the data and AI platform that powers personalization, trusted insights, experimentation, and decision-making. Partner with PMs to turn product opportunities into production-ready data products and pipelines, spanning batch and real-time processing. Evolve platform architecture across orchestration, storage, compute, streaming, and data access using tools like Airflow and Kafka. Improve data trust through modeling, schema evolution, testing, lineage, privacy controls, and operational excellence including observability, on-call, and cost optimization.

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FursaFursa
Change.org
Change.org
16 hours ago

Staff Engineer, Data and AI

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 1 hour agoStatus: Live

Job Summary

Build and scale the data and AI platform that powers personalization, trusted insights, experimentation, and decision-making. Partner with PMs to turn product opportunities into production-ready data products and pipelines, spanning batch and real-time processing. Evolve platform architecture across orchestration, storage, compute, streaming, and data access using tools like Airflow and Kafka. Improve data trust through modeling, schema evolution, testing, lineage, privacy controls, and operational excellence including observability, on-call, and cost optimization.
Location: United States, Canada, Mexico
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Partner with PMs to translate business and product opportunities into scalable data and AI solutions from early exploration through production rollout.
  • •Deliver reliable data products supporting data/AI features, experimentation, personalization, and decision-making across the organization.
  • •Build and scale batch and real-time pipelines to ingest, transform, and prepare data for reporting, ML training, model evaluation, feature generation, and production inference.
  • •Evolve the data and ML platform architecture across orchestration, storage, compute, streaming, and data access, using technologies such as Airflow, Kafka, Redshift, Glue, and vector databases.
  • •Maintain a resilient platform through observability, alerting, runbooks, incident response, on-call participation, performance tuning, and cost optimization while raising the technical bar through reviews and mentoring.

Key Requirements

  • •7+ years of software engineering experience building distributed systems, data platforms, ML platforms, or comparable production infrastructure.
  • •Hands-on experience building and operating large-scale batch and/or streaming data systems, ideally with Kafka, Spark, and workflow orchestration.
  • •Experience designing and operating cloud-native data infrastructure using AWS/GCP, infrastructure as code, containers, orchestration, and managed data services.
  • •Experience taking data or ML/AI systems into production, including reliability, observability, deployment, evaluation, and operational ownership.
  • •Practical experience with modern AI infrastructure such as embeddings/vector retrieval, LLM evaluation and observability, or agentic workflows.
Experience:7+ yearsData platformsMachine learningAI infrastructureDistributed systems
Skills:Architectural leadershipMentoringOperational ownershipTechnical influence
Languages:English
Tech Stack:PythonSQLAirflowKafkaRedshiftGlueVector DBsAWSGCPSparkLLMEmbeddingsAgentic workflowsInfrastructure as codeContainers

Company Brief

Change.org
Change.org operates a global online petition and campaigning platform that empowers individuals and communities to start, sign and promote campaigns to influence businesses, governments and institutions on social and political issues.
Industry: Social Impact Organizations
Company Size: Medium (51 to 250 employees)
Revenue: USD 100M to 250M
Growth: Established Company
Funding: Series D
Headquarters: San Francisco, United States
Founded: 2007
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