Promptql Logo

Promptql

Forward Deployed Engineer

Reposted 18 Days Ago
In-Office or Remote
Hiring Remotely in San Francisco, CA, USA
180K-240K Annually
Senior level
In-Office or Remote
Hiring Remotely in San Francisco, CA, USA
180K-240K Annually
Senior level
The Forward Deployed Engineer guides customers in AI transformation through technical validation, solution architecture, and implementation, ensuring customer success and innovation.
The summary above was generated by AI
About the team 
PromptQL’s Forward Deployed Engineers sits on our AI Catalyst Team (ACT). We are a group of technical GTM professionals that drive our future and current customer’s success by architecting, implementing, and evolving AI solutions through PromptQL agentic-data access layer. ACT blends deep technical expertise with customer-facing skills providing expert guidance and implementation support from initial discovery through post-sale expansion. ACT enables industry leaders and enterprise organizations to elevate their AI ambitions and deliver true disruptive transformation.

As we scale to meet the needs of our customers and the evolving AI industry, we are placing Forward Deployed Engineers into our customer engagements ensuring seamless adoption, strategic guidance, and world-class service to drive customer innovation and growth, powered by PromptQL

Location
  • SF Bay Area: hybrid in-office 3 days per week 
  • Other locations in the US: remote

About the role 
PromptQL is looking for Forward Deployed Engineers (FDE) to guide our customers through their entire technical journey with us. You are a strategic advisor, as well as a hands-on executor, that serves as the technical cornerstone throughout our customer’s AI transformation journey. The role spans pre-sales technical validation, solution architecture, implementation, and ongoing customer success. 

This kind of implementation work calls for hustle, drive, curiosity, and a strong sense of ownership. The best FDEs take initiative, think independently, and are always looking to learn. While familiarity with the AI industry can be helpful, the most important quality is a mindset that questions convention and seeks better solutions in an AI first environment. 

Role Requirements
  • 7+ years of experience in technical pre-sales and/or post-sales implementation roles
  • Proven track record as a Principal Architect, Professional Services Consultant, Technical Delivery Lead, or Pre-Sales Engineering Leader
  • Direct experience designing, building, or implementing generative AI applications
  • Familiarity with large language models, vector databases, and AI orchestration frameworks
  • Experience with data access technologies and API development
  • Background in implementing complex data projects at enterprise scale
  • Knowledge of MLOps, DataOps, or AI engineering practices
  • Prior experience with query languages and data transformation techniques
  • Success in services-led, consultative technical engagements
  • Proven track record identifying and capturing expansion opportunities in existing accounts
  • Experience delivering complex data-oriented projects involving multiple stakeholders and technologies
  • Strong understanding of enterprise data ecosystems, API integration patterns, and modern architectures
  • Exceptional communication skills with ability to translate complex technical concepts to various audiences
  • History of building trust-based relationships with technical and business stakeholders
  • Bachelor's degree in Computer Science, Engineering, or related field; advanced degree preferred

About you
  • Must thrive in high ambiguous, fast moving start up environments
  • Must be able to travel onsite to customer engagements
  • Must be highly collaborative and think outside of the box (no egos allowed!)
  • Must be curious about emerging, innovative tech, particularly around AI
  • Must be a self-starter and customer obsessed

Compensation 
  • $180,000 - $240,000 base salary + Commissions
  • Commissions  
  • Equity

About PromptQL
We’re helping the world’s most innovative enterprises build AI-native applications with 100% reliability on their enterprise data with PromptQL. PromptQL is the AI platform that delivers human level reliability for natural language based analysis and automation on your data & systems. When accuracy, transparency, and repeatability matter, PromptQL makes AI trustworthy, scalable, and real.

We're on a mission to bring the full value of AI to the enterprise. Our team is passionate about the power of AI to transform lives and businesses. We're curious, driven, and relentlessly customer-obsessed, working together to redefine what’s possible in enterprise AI. Join us—and help build the future of reliable AI.

Benefits & Perks
  • Medical, dental, and vision insurance to keep you healthy and thriving
  • Employee assistance programs for support when you need it
  • Retirement fund contribution matching to help you invest in your future
  • Donation matching to amplify your charitable impact
  • Paid time off to support your well-being
  • Monthly company-wide self-care day to recharge
  • Stock options so you can share in our success
  • Paid parental leave to support growing families
  • Commuter benefits to help you save on your journey to the office
  • Employee referral program to reward you for connecting us with great talent

We are committed to equal employment opportunity and do not discriminate based on race, religion, national origin, gender, sexual orientation, age, veteran status, disability, or any other status protected by law.

Applicants with disabilities who wish to request reasonable accommodations may contact us at [email protected].

While our official company name is Hasura, we do business as PromptQL.

Similar Jobs

Yesterday
Remote
United States
165K-350K Annually
Mid level
165K-350K Annually
Mid level
Artificial Intelligence • Legal Tech
Embed with customers to design, build, and deploy GC AI integrations into legal workflows. Develop production-grade API/webhook integrations, troubleshoot deployments, create reference implementations and documentation, and feed product insights back to Engineering to improve the platform. Travel to customer sites up to 25% as needed.
Top Skills: APIsLlmsPythonSdksTypescriptWebhooksWorkflow Automation
16 Hours Ago
Remote
US
140K-180K Annually
Junior
140K-180K Annually
Junior
Big Data • Cloud • Software • Generative AI • Big Data Analytics
The role involves meeting customers to understand integration requirements, building tailored solutions, conducting tests, and feedback to engineering. The focus is on integrating diverse systems using Python, SQL, and APIs.
Top Skills: DatabricksPythonRest ApisSalesforceSnowflakeSQL
Yesterday
In-Office or Remote
181K-248K Annually
Senior level
181K-248K Annually
Senior level
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
Customer-facing senior engineer who architects, implements, and productionizes end-to-end data and AI solutions on Databricks. Responsibilities include Spark-based distributed data engineering, ML/AI model integration, CI/CD deployments, technical project delivery, stakeholder engagement, reusable assets creation, and providing product/implementation feedback.
Top Skills: Ai ApisSparkAWSAzureCi/CdDatabricksGCPJavaScriptMlopsPythonScalaTypescript

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