Parallel Web Systems Logo

Parallel Web Systems

Deployed Engineer

Posted 2 Months Ago
Be an Early Applicant
In-Office
2 Locations
150K-300K Annually
Entry level
In-Office
2 Locations
150K-300K Annually
Entry level
Join Parallel’s deployed engineering team to work directly with customers, understand their products and use cases, maximize adoption of Parallel’s API, and help customers scale successfully. This hands-on, customer-facing engineering role requires deep API expertise, strong customer partnership, and ownership of real-world customer outcomes. The position is fully in-person between the Palo Alto headquarters and San Francisco office.
The summary above was generated by AI
About us

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: 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.

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.

Compensation & benefits
  • Competitive salary

  • Generous equity

  • Visa sponsorships

  • 401K plans

  • Daily lunch & office snacks

  • Dinner at the office

  • Unlimited vacation

  • Caltrain pass reimbursement

HQ

Parallel Web Systems Palo Alto, California, USA Office

Palo Alto, California, United States, 94305

Similar Jobs

11 Days Ago
In-Office
120K-120K Annually
Internship
120K-120K Annually
Internship
Artificial Intelligence • Software
Build customer-specific software solutions using large-scale data and AI. Responsibilities include collaborating on architecture and design, developing custom applications, engaging with technical and executive stakeholders, and driving high-impact projects from ideation through deployment. The role involves working directly with customers, solving complex technical problems, and traveling to client sites as needed.
Top Skills: Artificial IntelligenceC++Cloud InfrastructureData StructuresFront-End FrameworksJavaJavaScriptPythonStorage SystemsTypescript
11 Days Ago
In-Office
135K-145K Annually
Entry level
135K-145K Annually
Entry level
Artificial Intelligence • Software
Forward Deployed Software Engineers design and build data- and AI-powered applications for customer organizations. They collaborate with engineers and stakeholders, analyze large-scale data, make architecture decisions, engage directly with technical and executive users, and lead projects from ideation through deployment. The role requires strong coding, analytical problem-solving, teamwork, adaptability, and willingness to travel up to 25% to client sites.
Top Skills: Artificial IntelligenceC++Cloud InfrastructureData StructuresFront-End FrameworksJavaJavaScriptPythonStorage SystemsTypescript
11 Days Ago
Hybrid
5 Locations
63K-140K Annually
Junior
63K-140K Annually
Junior
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Develop and deploy data solutions using Palantir Foundry and AIP for client engagements. Lead technical teams, coach team members, analyze system interactions, build applications with large datasets, and apply data engineering and analytics to deliver client outcomes. The role also includes managing client relationships, planning and executing projects, encouraging technology adoption, resolving stakeholder conflicts, and driving continuous improvement.
Top Skills: Artificial IntelligenceMachine LearningPalantir AipPalantir FoundryPythonTypescript

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account