PromptQL

3 months ago

Forward Deployed Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Forward Deployed Engineers guide customers through the AI transformation journey, combining strategic advisory with hands-on implementation. You’ll partner on pre-sales validation, solution architecture, and post-sale success, working across enterprise data ecosystems and AI technologies to deliver scalable, reliable AI solutions.

Location: San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Provide technical leadership across pre-sales validation, architecture design, and implementation during customer engagements
•Serve as a strategic advisor and hands-on executor to drive AI transformation and customer success
•Architect and implement generative AI applications and data pipelines in enterprise environments
•Collaborate with customers to translate complex AI concepts into actionable architectures and roadmaps
•Identify and capture expansion opportunities within existing accounts and multi-stakeholder projects

Travel: Medium travel

Pay and Benefits

Salary: 180,000 - 240,000

Equity and Bonus:Equity

Perks:Health InsuranceRetirement FundEquityParental LeaveCommuter Benefits

Key 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

Experience:7+ yearsEnterprise AIData platforms

Education:Bachelor's

Skills:CommunicationCollaborationPresentationStakeholder management

Tech Stack:Large language modelsVector databasesAI orchestration frameworksData access technologiesAPIsMLOpsDataOps

Company Brief

PromptQL

PromptQL (from the Hasura team) provides an enterprise-grade platform and API to build, run, and evaluate prompt-driven LLM workflows for accurate, auditable analysis and automation over business data.

Industry: AI & Machine Learning

Company Size: Medium (51 to 250 employees)

Headquarters: San Francisco, United States

Glassdoor: 3.9

Website LinkedIn Glassdoor

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PromptQL

3 months ago

Forward Deployed Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Provide technical leadership across pre-sales validation, architecture design, and implementation during customer engagements
•Serve as a strategic advisor and hands-on executor to drive AI transformation and customer success
•Architect and implement generative AI applications and data pipelines in enterprise environments
•Collaborate with customers to translate complex AI concepts into actionable architectures and roadmaps
•Identify and capture expansion opportunities within existing accounts and multi-stakeholder projects

Travel: Medium travel

Pay and Benefits

Salary: 180,000 - 240,000

Equity and Bonus:Equity

Perks:Health InsuranceRetirement FundEquityParental LeaveCommuter Benefits

Key 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

Experience:7+ yearsEnterprise AIData platforms

Education:Bachelor's

Skills:CommunicationCollaborationPresentationStakeholder management

Tech Stack:Large language modelsVector databasesAI orchestration frameworksData access technologiesAPIsMLOpsDataOps

Company Brief

PromptQL

Industry: AI & Machine Learning

Company Size: Medium (51 to 250 employees)

Headquarters: San Francisco, United States

Glassdoor: 3.9

Website LinkedIn Glassdoor