Dialpad

3 months ago

Forward Deployment Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Embed within strategic customer accounts to translate complex business challenges into production-ready Agentic AI systems, acting as a technically fluent business consultant and trusted AI architect. You’ll bridge sales, services, and product, guiding production-grade bot builds and integration across cloud, data pipelines, and CRMs/ERPs to drive measurable business outcomes.

Location: Sydney

Workplace: Onsite

Job Function: Software Engineering

Key Responsibilities

•Embed with customer stakeholders and operational leaders to understand complex business problems and translate them into shippable Agentic AI-powered solutions.
•Serve as the deep technical authority during critical pre-sales evaluations and post-sales deployments, partnering with Sales, Sales Engineers, Professional Services and Customer Success.
•Capture customer pain points and feedback to influence the product roadmap and accelerate feature development.
•Design and deploy AI architectures, multi-agent systems, and data integration patterns, including APIs, CRMs, ERPs, and data connectors via MCP framework.
•Guide customers on production-grade bot builds and integration to data pipelines and full-stack systems, ensuring successful deployments.

Key Requirements

•4+ years of experience in a high-impact, customer-facing technical role such as Forward Deployed Engineering, Technical Consulting, high-touch Sales Engineering or Solutions Architecture, or technical consulting for SaaS/AI products.
•Deep, demonstrable expertise in the modern AI/ML stack: LLMs, Generative AI concepts, vector databases, and agent orchestration frameworks. Proficiency in Python, Go, JS/TS plus hands-on experience with LLM frameworks.
•Unrivaled business acumen: ability to simplify technical complexity and communicate clear trade-offs, value propositions, and project plans to engineering teams and executive stakeholders.
•You thrive in ambiguity, take full ownership of outcomes, and are driven by delivering tangible, measurable results for the customer, often under tight timelines.
•Bonus Points: Telephony stack knowledge (WebRTC, SIP, SBCs).

Experience:4+ yearsAI/MLEnterprise softwareSaaS

Skills:CommunicationProblem-solvingStakeholder managementLeadershipStrategic thinking

Languages:English

Tech Stack:PythonGoJavaScriptTypeScriptLLMsVector databasesAgent orchestrationML frameworksWebRTCSIPSBCs

Company Brief

Dialpad

Provides cloud-based business communications platform offering voice, video, messaging, contact center, and AI-driven call intelligence to help teams communicate and collaborate across devices and locations.

Industry: SaaS

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Headquarters: San Francisco, United States

Founded: 2011

Website LinkedIn

Loading job details...

Preparing the role view and application actions.

Dialpad

3 months ago

Forward Deployment Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Location: Sydney

Workplace: Onsite

Job Function: Software Engineering

Key Responsibilities

•Embed with customer stakeholders and operational leaders to understand complex business problems and translate them into shippable Agentic AI-powered solutions.
•Serve as the deep technical authority during critical pre-sales evaluations and post-sales deployments, partnering with Sales, Sales Engineers, Professional Services and Customer Success.
•Capture customer pain points and feedback to influence the product roadmap and accelerate feature development.
•Design and deploy AI architectures, multi-agent systems, and data integration patterns, including APIs, CRMs, ERPs, and data connectors via MCP framework.
•Guide customers on production-grade bot builds and integration to data pipelines and full-stack systems, ensuring successful deployments.

Key Requirements

•4+ years of experience in a high-impact, customer-facing technical role such as Forward Deployed Engineering, Technical Consulting, high-touch Sales Engineering or Solutions Architecture, or technical consulting for SaaS/AI products.
•Deep, demonstrable expertise in the modern AI/ML stack: LLMs, Generative AI concepts, vector databases, and agent orchestration frameworks. Proficiency in Python, Go, JS/TS plus hands-on experience with LLM frameworks.
•Unrivaled business acumen: ability to simplify technical complexity and communicate clear trade-offs, value propositions, and project plans to engineering teams and executive stakeholders.
•You thrive in ambiguity, take full ownership of outcomes, and are driven by delivering tangible, measurable results for the customer, often under tight timelines.
•Bonus Points: Telephony stack knowledge (WebRTC, SIP, SBCs).

Experience:4+ yearsAI/MLEnterprise softwareSaaS

Skills:CommunicationProblem-solvingStakeholder managementLeadershipStrategic thinking

Languages:English

Tech Stack:PythonGoJavaScriptTypeScriptLLMsVector databasesAgent orchestrationML frameworksWebRTCSIPSBCs

Company Brief

Dialpad

Industry: SaaS

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Headquarters: San Francisco, United States

Founded: 2011

Website LinkedIn