---
title: 'Forward Deployed Engineer at PromptQL'
canonical: 'https://feeny.ai/job/forward-deployed-engineer-promptql-san-francisco-jjnpft5c0c3h'
type: 'job'
last_seen: '2026-09-05'
---

# Forward Deployed Engineer at PromptQL

- **Company:** PromptQL
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-04-29
- **Last confirmed live:** 2026-09-05
- **Apply:** https://jobs.gem.com/promptql/am9icG9zdDr6EskWurntYkDsrUmtcpsX

## Job description

## 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](https://hasura.io/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 ta@promptql.io.

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

## About PromptQL

## Company Overview
- **One-liner**: PromptQL builds a reasoning AI platform that delivers accurate, traceable, and trustworthy answers by connecting to enterprise data and learning from team context.
- **Entity Type**: Private (Series C funding; $136.5M total raised)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2017
- **Founders**: Tanmai Gopal (CEO, co-founder), Rajoshi Ghosh (Co-founder & Chief Ecosystem Officer) – also the founding team behind Hasura.

## Core Business
- **Primary industry**: Enterprise AI / Data Access Layer for AI
- **Target customers**: B2B, large enterprises with complex data environments (finance, healthcare, retail, etc.)
- **Mission statement**: “To make working with data — and now, with AI — simple, reliable, and powerful.” (from [promptql.io/about](https://promptql.io/about))

## Products & Services
- **PromptQL Platform** (AI SaaS): A multiplayer AI agent that connects to warehouses, databases, SaaS apps, and APIs without moving data. It introspects schemas, builds a unified data graph, and answers complex multi-hop questions with citations. It continuously learns from team conversations and corrections, maintaining a Wikipedia-style operational context graph. Supports governance with scopes, revision history, and audit trails. Designed for both technical and non-technical users.

## Market Standing
- **Valuation**: Not publicly disclosed.
- **Estimated annual revenue**: ~$3.8M (source: [LinkedIn](https://www.linkedin.com/company/promptql-io))
- **Total funding**: $136.5M across 4 rounds (Seed $1.6M – 2018, Series A $9.9M – 2020, Series B $25M – 2020, Series C $100M – 2022)
- **Notable Investors**: Not explicitly named in provided data, but prior rounds involved multiple investors per LinkedIn.
- **Key metric**: 90 employees (down 31% YoY, from 141 to 90); 23,241 LinkedIn followers (+11.3% yearly).
- **Growth signals**: Building on the proven Hasura infrastructure (used by thousands of companies); expanding into enterprise AI with a product that addresses accuracy and trust – the biggest barrier to enterprise AI adoption.

## Competitive Advantages
- **Built on Hasura’s data delivery network**: Leverages years of experience in high-performance data federation, security, and CI/CD-native infrastructure.
- **“Wikipedia-like” operating model**: Context graph is collaboratively maintained, with revision history, editorial controls, and notifications – making AI knowledge shareable and auditable.
- **Permissions-aware & secure**: Respects existing row- and column-level security from source systems, runs in sandboxed environments, and enforces granular scopes.
- **Deterministic execution with LLM reasoning**: Aligns LLMs with business logic to produce grounded, traceable answers suitable for high-stakes decisions.

## Strategic Focus
- **Current priorities**: Building the “de facto data access layer for AI” – a platform that deeply understands enterprise data and acts on it with precision. Focus on accuracy, trust, and reliability for enterprise adoption.
- **Direction**: Expanding from internal data queries to customer-facing products and autonomous agents, all through natural language. Embedding PromptQL into high-frequency, high-impact business workflows.

## Why Work Here
- **Culture highlights**: Fast-paced, purposeful work with a “laid-back feel.” Emphasis on collaborative, driven individuals with a bias toward action. “Boundless opportunity” – team members are encouraged to step up and influence outcomes regardless of title.
- **Work environment**: Self-Care Friday (second Friday of each month off). Competitive benefits package. Remote/hybrid policy not explicitly stated, but workforce is distributed across 8 countries (US, India, UK, Canada, Australia, etc.).
- **Engineering culture**: Engineering-first mindset; team of 48 technical staff (42% of company). Known for pushing boundaries in enterprise AI and data infrastructure. Open roles include AI Staff Software Engineer, Forward Deployed Engineer, and Forward Deployed Analyst.

## Sources
1. [promptql.io/careers](https://promptql.io/careers)
2. [promptql.io/about](https://promptql.io/about)
3. [promptql.io/product](https://promptql.io/product)
4. [promptql.io](https://promptql.io/)
5. [LinkedIn – PromptQL](https://www.linkedin.com/company/promptql-io)

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