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Perplexity Jobs in New York (NOW HIRING)

Perplexity AI

AI Strategist, Financial Services

Manhattan, NY · On-site

$133K - $173K/yr

Perplexity is an AI-powered answer engine founded in December 2022 and growing rapidly as one of the world's leading AI platforms. Perplexity has raised over $1B in venture investment from some of ...

Perplexity

Sales Enablement Lead

New York, NY · On-site

$230K - $290K/yr

Perplexity is seeking its first Sales Enablement hire to build the function for our Enterprise, Commercial, and BDR teams. Our sales org is growing quickly and selling a product that evolves almost ...

Perplexity

Solutions Product Marketing Manager

New York, NY · On-site

$190K - $250K/yr

Perplexity is changing how enterprises adopt AI. We're seeking a Solutions Product Marketer to own GTM strategy for our highest-priority verticals, Finance, Healthcare, Legal, and Consulting. You'll ...

Perplexity AI

AI Strategist, Legal

Manhattan, NY · On-site

$90K - $104K/yr

Perplexity is an AI-powered answer engine founded in December 2022 and growing rapidly as one of the world's leading AI platforms. Perplexity has raised over $1B in venture investment from some of ...

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Perplexity information

What is a perplexity job?

Perplexity jobs typically refer to roles at Perplexity AI, a company specializing in artificial intelligence-powered search engines and conversational AI tools. Employees may work in a variety of positions such as software engineering, research, product management, and data science. Perplexity AI is known for its focus on creating advanced, user-friendly AI systems that help people access and understand information more easily. Working at Perplexity often involves collaborating on innovative projects, leveraging the latest AI technologies, and contributing to the development of cutting-edge products in the AI space.

What are the key skills and qualifications needed to thrive as a Perplexity AI Engineer?

To thrive as a Perplexity AI Engineer, you need a strong background in computer science, machine learning, and natural language processing, often supported by a relevant degree and hands-on project experience. Proficiency with programming languages like Python, frameworks such as TensorFlow or PyTorch, and version control systems like Git is essential. Strong problem-solving abilities, collaboration, and effective communication help you excel in multidisciplinary teams and adapt to evolving technologies. These skills are crucial for developing advanced AI solutions and ensuring they perform reliably and ethically in real-world applications.

What are the common challenges faced by a data scientist when working on machine learning projects within a cross-functional team?

Data Scientists often encounter challenges such as aligning project goals across departments, ensuring data quality, and effectively communicating complex technical concepts to non-technical stakeholders. Collaborating with product managers, engineers, and business analysts requires strong interpersonal skills and adaptability. Additionally, balancing experimentation with project deadlines and integrating models into production systems are key hurdles. Navigating these challenges successfully can lead to impactful solutions and professional growth.

What are popular job titles related to Perplexity jobs in New York?

For Perplexity jobs in New York, the most frequently searched job titles are:

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What cities in New York are hiring for Perplexity jobs?

Cities in New York with the most Perplexity job openings:

Perplexity jobs near you
Infographic showing various Perplexity job openings in New York as of August 2026, with employment types broken down into 1% Internship, 93% Full Time, 5% Part Time, and 1% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution.

Member of Technical Staff (Software Engineer, Data Platform)

Perplexity

New York, NY • On-site

$220K - $405K/yr

Full-time

Re-posted 15 days ago

Job description

About the Role
The Data Platform team owns the end-to-end data lifecycle at Perplexity, from ingestion through processing, storage, and serving, powering product features, analytics, experimentation, AI workloads, and the company's data lake.
The team defines the architecture for batch and streaming systems, the orchestration and observability stack, and a self-serve data platform, while thoughtfully combining platforms such as Databricks and Snowflake with open-source technologies including Spark, Kafka, Flink, Airflow, Dagster, dbt, Iceberg, Delta Lake, and ClickHouse.
In this senior/staff role, you will shape architecture, set standards, and drive the long-term technical direction of Perplexity's data ecosystem.
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.
  • Improve developer experience through better abstractions, opinionated paved paths, and standards for data modeling, testing, validation, and deployment, treating the data platform as a product used by many teams.
  • Drive architectural decisions across storage, compute, orchestration, and data APIs, partnering closely with product engineering and data science to align the data ecosystem with Perplexity's roadmap.
  • Mentor engineers, review designs, and raise the technical bar for data infrastructure through thoughtful feedback, documentation, and hands-on collaboration.

Qualifications
  • 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.).
  • Strong systems thinking around reliability, latency, cost, and complexity tradeoffs.
  • Experience supporting ML/AI workflows, training pipelines, or evaluation systems.
  • Familiarity with data quality, lineage, observability, and governance tooling.
  • Prior ownership of internal platforms used by many teams.

If you're excited about this role, we encourage you to apply even if your experience doesn't match every qualification listed above.

Apply