Job Overview
Job description
- Salary:
- USD 150,000 - 300,000 per year
- Location:
- San Francisco or Palo Alto, United States
- Work arrangement:
- On-site
Member of Technical Staff, Data Engineering at Parallel Web Systems in San Francisco or Palo Alto, United States.
- Competitive salary
- Generous equity
- Visa sponsorships
- 401K plans
- Daily lunch & office snacks
- Dinner at the office
- Unlimited vacation
- Caltrain pass reimbursement
Salary: $150K – $300K • Offers Equity
About the Company
Parallel is a web infrastructure company. Our products are used by leading businesses in sales, marketing, insurance, and coding to build best-in-class AI agents with flexible and powerful programmatic access to the web.
We've raised $230 million from Kleiner Perkins, Sequoia, Index Ventures, Spark Capital, Khosla Ventures, First Round, and Terrain to build the web for AIs. We're currently valued at $2 billion and we're forming a world-class team of engineers, designers, marketers, sellers, researchers, and operational experts to achieve our mission.
Job: You will build the data foundations that powers model training, product building and analytics across the company. You will work across the full lifecycle: designing pipelines that ingest and transform data at scale, building the storage and serving layers that make it fast and reliable to query, and establishing the quality, lineage, and observability systems that let others trust the data. You will anticipate scaling bottlenecks before they appear and make the architectural calls that keep the platform ahead of growing demand.
You: Have deep intuition on distributed data processing, data modeling, and system reliability. You like to reason about the trade-offs between batch and streaming, between storage cost and query performance, and between build-it-yourself and off-the-shelf infrastructure. You care about the data being right, not just available, and about building systems that teams across the company can depend on without a second thought.
LIFE AT PARALLEL
Our team works fully in-person, between our Palo Alto HQ and San Francisco office. We’re a flat, talent-dense organization dedicated to solving technical and creative problems.
We seek like-minded individuals who share our passion for applying science, creativity, and consistency to big and complex problems with equally big outcomes. These are our values:
- Own customer impact: It’s on us to ensure real-world outcomes for our customers.
- Obsess over craft: Perfect every detail because quality compounds.
- Accelerate change: Ship fast, adapt faster, and move frontier ideas into production.
- Create win-wins: Creatively turn trade-offs into upside.
- Make high-conviction bets: Try and fail. But succeed an unfair amount.
- Role:
- Member of Technical Staff, Data Engineering
- Job Type:
- FullTime
Company profile
Parallel Web Systems
parallel.aiParallel Web Systems builds web infrastructure for AI, offering agents and tool APIs that let AI systems search, extract, monitor and reason over information on the open web. Businesses in sales, marketing, insurance and coding use its products to build AI agents with programmatic web access. Parallel has raised $230 million from investors including Kleiner Perkins, Sequoia and Index Ventures and is valued at $2 billion.
- Founded
- 2023
- Total Raised
- $230M
- Key Investors
- Kleiner Perkins, Sequoia, Index Ventures, Spark Capital, Khosla Ventures