Perplexity

1 month ago

Member of Technical Staff (Software Engineer, Data Platform)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Senior/staff role responsible for shaping architecture and long-term technical direction of Perplexity’s data ecosystem, designing large-scale batch and streaming data pipelines, and building self-serve data platforms leveraging Databricks, Snowflake, and open-source tech to power product features, analytics, and AI workloads.

Location: San Francisco, New York, Palo Alto

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Design and operate large-scale batch and streaming data pipelines that directly power Perplexity product features, AI training and evaluation workflows, analytics, and experimentation.
•Build event-driven and streaming systems (Kafka, Kinesis, PubSub, or similar) for real-time ingestion, transformation, and delivery, alongside batch frameworks for backfills, aggregations, and offline computation.
•Lead the architecture of data orchestration using tools like Airflow or Dagster, owning scheduling, dependency management, retries, SLAs, and end-to-end observability for critical data flows.
•Set and enforce guarantees for data correctness, freshness, lineage, and recoverability, designing systems that handle rapid scale growth, partial failures, and evolving schemas without disrupting AI workloads or product experiences.
•Build self-serve data platforms that let engineers, data scientists, and analysts safely discover data, define contracts, and create and operate their own pipelines with minimal friction.

Pay and Benefits

Salary: USD 220,000 - 405,000 annually

Equity and Bonus:Equity

Key Requirements

•5+ years (Senior) or 8+ years (Staff) of software engineering experience.
•Strong experience building production data infrastructure systems.
•Hands-on experience with batch and/or streaming data processing at scale.
•Deep familiarity with data orchestration systems (Airflow, Dagster, or similar).
•Proficiency in Python and at least one additional backend language (Go, TypeScript, etc.).

Experience:Data platformData engineeringAI workloadsStreamingBatch processing

Skills:MentoringCollaborationLeadershipCommunicationDesign reviews

Tech Stack:PythonGoTypeScriptKafkaKinesisPubSubSparkFlinkAirflowDagsterDbtIcebergDelta LakeClickHouseDatabricksSnowflake

Company Brief

Perplexity

Perplexity AI provides an AI-powered answer engine that returns conversational, citation-backed answers to user queries and offers Pro/Enterprise products and APIs for research, knowledge work, and search augmentation.

Industry: AI & Machine Learning

Company Size: Medium (51 to 250 employees)

Revenue: USD 50M to 100M

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series D

Headquarters: San Francisco, United States

Founded: 2022

Glassdoor: 4.6

Website LinkedIn Glassdoor

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Perplexity

1 month ago

Member of Technical Staff (Software Engineer, Data Platform)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Location: San Francisco, New York, Palo Alto

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Design and operate large-scale batch and streaming data pipelines that directly power Perplexity product features, AI training and evaluation workflows, analytics, and experimentation.
•Build event-driven and streaming systems (Kafka, Kinesis, PubSub, or similar) for real-time ingestion, transformation, and delivery, alongside batch frameworks for backfills, aggregations, and offline computation.
•Lead the architecture of data orchestration using tools like Airflow or Dagster, owning scheduling, dependency management, retries, SLAs, and end-to-end observability for critical data flows.
•Set and enforce guarantees for data correctness, freshness, lineage, and recoverability, designing systems that handle rapid scale growth, partial failures, and evolving schemas without disrupting AI workloads or product experiences.
•Build self-serve data platforms that let engineers, data scientists, and analysts safely discover data, define contracts, and create and operate their own pipelines with minimal friction.

Pay and Benefits

Salary: USD 220,000 - 405,000 annually

Equity and Bonus:Equity

Key Requirements

•5+ years (Senior) or 8+ years (Staff) of software engineering experience.
•Strong experience building production data infrastructure systems.
•Hands-on experience with batch and/or streaming data processing at scale.
•Deep familiarity with data orchestration systems (Airflow, Dagster, or similar).
•Proficiency in Python and at least one additional backend language (Go, TypeScript, etc.).

Experience:Data platformData engineeringAI workloadsStreamingBatch processing

Skills:MentoringCollaborationLeadershipCommunicationDesign reviews

Tech Stack:PythonGoTypeScriptKafkaKinesisPubSubSparkFlinkAirflowDagsterDbtIcebergDelta LakeClickHouseDatabricksSnowflake

Company Brief

Perplexity

Industry: AI & Machine Learning

Company Size: Medium (51 to 250 employees)

Revenue: USD 50M to 100M

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series D

Headquarters: San Francisco, United States

Founded: 2022

Glassdoor: 4.6

Website LinkedIn Glassdoor