Parallel Web Systems Seed
Forward Deployed Engineer
San Francisco, CA On-site Senior (6+ yrs) Added Jun 16
About the role
Parallel is a web infrastructure company. Products 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. $230M raised from Kleiner Perkins, Sequoia, Index Ventures, Spark Capital, Khosla Ventures, First Round, and Terrain. Currently valued at $2 billion.
Join our deployed engineering team — you will work closest with our customers, help them get the most out of our API, and scale with them. You will understand their product and use-cases deeply, and understand our API. You will be the power user of our API.
You: Love working hands-on with customers. You are an engineer by training but also may have worked in consulting/PM/GTM or roles that are close to customers. You care most about owning customer impact.
Values: Own customer impact — ensure real-world outcomes for 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.
Life at Parallel: Fully in-person, between Palo Alto HQ and San Francisco office. Flat, talent-dense organization. Benefits: competitive salary, generous equity, visa sponsorships, 401K, daily lunch, unlimited vacation.
Industry
AI Infrastructure / Developer Tools
Top skills for this role
- Data engineering stack (Snowflake
- dbt
- Airflow
- Databricks)
- 2. Deep customer technical partnership and API optimization
- 3. Python and SQL for production code and troubleshooting
Languages
PythonSQL
Frameworks & tools
AirflowDatabricksdbtFivetranLookerSnowflakeREST APIs
AI / ML skills
AI agent developmentweb infrastructure for AI agentsAPI-driven AI workflows
Customer skills
Post-sale technical execution, customer onboarding and deployment, driving product consumption/adoption, stakeholder management across customer teams
Domain knowledge
Sales, marketing, insurance, coding/developer tooling; web data infrastructure and programmatic web access for AI agents
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