Member of Technical Staff - Engineering Lead, Compute Platform

Reflection AI
San Francisco, London, New York
Workplace: OnsiteFull timeFunction: Administration & Executive AssistanceExperience: 8+ yearsSkills: ["Leadership","Mentorship","Collaboration","Clear communication","Hands-on technical decision-making"]

Lead and grow the Data Platform team (~10 engineers) building trusted data infrastructure for high-weight AI systems. Own technical direction for ingestion, orchestration, scalable compute and storage, and reproducible pipelines with versioning, backfills, and isolated execution. Partner with research, training, and production teams to enable rapid experimentation, strengthen data quality/lineage/governance signals, and keep cost and performance predictable while staying hands-on.

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FursaFursa
Reflection AI
Reflection AI
18 hours ago

Member of Technical Staff - Engineering Lead, Compute Platform

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 10 hours agoStatus: Live

Job Summary

Lead and grow the Data Platform team (~10 engineers) building trusted data infrastructure for high-weight AI systems. Own technical direction for ingestion, orchestration, scalable compute and storage, and reproducible pipelines with versioning, backfills, and isolated execution. Partner with research, training, and production teams to enable rapid experimentation, strengthen data quality/lineage/governance signals, and keep cost and performance predictable while staying hands-on.
Location: San Francisco, London, New York
Workplace: Onsite
Employment Type: Full time
Job Function: Administration & Executive Assistance
Seniority: Manager level

Key Responsibilities

  • •Build, mentor, and grow a team of ~10 data platform engineers, including hiring and coaching.
  • •Set the technical direction for ingestion and orchestration for batch/streaming workloads and scalable compute/storage foundations.
  • •Enable high-velocity experimentation across research, training, and production using a unified data layer.
  • •Establish trusted data quality, lineage, and governance signals for confident production decisions.
  • •Stay hands-on through design reviews, architecture decisions, and code where it matters most.

Pay and Benefits

Equity and Bonus:Equity
Perks:Health InsuranceDentalVisionLife InsuranceMeal AllowanceParental LeavePaid LeaveWellness StipendEquity

Key Requirements

  • •8+ years of engineering experience with production-grade data pipelines at large scale.
  • •Demonstrated staff/principal-level technical credibility with a history of owning and shipping production systems.
  • •Experience managing and growing a team (~5–10) while staying technically embedded.
  • •Deep expertise in at least one area: ingestion & orchestration at scale, storage/processing engines, or data quality/lineage/reproducibility systems.
  • •Fluency with the modern data stack and building new systems from zero; strong cross-team collaboration with research and infrastructure.
Experience:8+ yearsAIData platformsData engineeringData infrastructure
Skills:LeadershipMentorshipCollaborationClear communicationHands-on technical decision-making
Tech Stack:SparkFlinkBeamAirflowDagsterKafkaPubSubParquetIcebergDelta LakeBigQuerySnowflakeGreat ExpectationsData lakeData warehouseLineageMetadata managementOrchestration

Eligibility

Work Authorization:Sponsorship available.

Company Brief

Reflection AI
Builds frontier autonomous AI systems focused on autonomous coding agents (product: Asimov) to create organizational superintelligence, founded by former DeepMind/Google researchers and hiring across SF, NYC, London.
Industry: AI & Machine Learning
Company Size: Small (11 to 50 employees)
Growth: Growth Stage Startup
Funding: Series A
Headquarters: San Francisco, United States
Founded: 2024
WebsiteLinkedInGlassdoor