Forward Deployment Engineer at Dialpad

United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, SaaSIndustries

Requirements

4+ years in forward-deployed engineering, solutions architecture, or technical consulting for SaaS/AI products
Proficiency in Python, Go, JS/TS plus hands-on experience with LLM frameworks (LangChain, RAG, vector search)
Cloud-native skills across AWS/GCP/Azure; comfortable with Docker, Helm, Terraform
Strong communicator who can whiteboard with engineers at 10 AM and brief the C-suite at 4 PM
Thrive in ambiguity; bias for action and a “customer-in-control” mindset
Telephony stack knowledge (WebRTC, SIP, Twilio)
Experience deploying chatbots or voice bots at >10K daily conversations
Contributions to open-source AI agent frameworks

Responsibilities

Lead pilots end-to-end: Scope success criteria, configure sandbox environments, and iterate rapidly to hit ROI targets in ≤ 90 days
Design agent workflows: Author multi-step prompts, retrieval pipelines, and decision logic that plug into CRMs, ERPs, and custom APIs via our MCP framework
Build secure integrations: Stand up data connectors and authentication flows (OAuth 2.0, SCIM, SAML) that give agents real-time context while meeting SOC 2 & HIPAA controls
Operationalize at scale: Containerize and deploy agents on Kubernetes or customer VPCs; set up monitoring, A/B evaluation, and guardrails for hallucination and PII leakage
Drive feedback loops: Surface customer insights to Product & Research; influence roadmap priorities around tooling, guardrails, and vertical templates
Enable self-sufficiency: Deliver workshops, runbooks, and best-practice playbooks so clients can extend and govern agents post-go-live

Skills

Prompt Engineering

Retrieval Pipelines

Solutions Architecture

Product Management

Change Management

Workflow Design

Sandbox Configuration

Dialpad

AI platform for customer engagement and collaboration

About Dialpad

Dialpad offers an AI-powered platform designed to enhance customer engagement, sales, and team collaboration. Its key features include real-time transcription of conversations, sentiment analysis to gauge the mood of discussions, live coaching for sales representatives, and predictive customer satisfaction (CSAT) scores to forecast client satisfaction. This platform serves a diverse clientele, from small businesses to large corporations, and operates on a subscription-based model. Dialpad distinguishes itself from competitors through its rapid product innovation and strong partnerships, such as its collaboration with the Sacramento Kings basketball team, which includes community programs like The Huddle Lab for young entrepreneurs. The company has received recognition from G2 in various categories, including Unified Communications as a Service (UCaaS) and Contact Center as a Service (CCaaS). Dialpad's goal is to leverage AI to improve customer service and sales effectiveness.

San Ramon, CaliforniaHeadquarters

2011Year Founded

$437.7MTotal Funding

LATE_VCCompany Stage

Enterprise Software, AI & Machine LearningIndustries

1,001-5,000Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

Flexible Work Hours

Phone/Internet Stipend

Gym Membership

Professional Development Budget

Risks

Emerging AI-driven platforms could erode Dialpad's market share.

Integration challenges from Surfboard acquisition may disrupt operations.

Rapid AI advancements could render Dialpad's offerings obsolete if not updated.

Differentiation

Dialpad offers real-time transcription and sentiment analysis, enhancing customer interactions.

Its AI-powered platform supports sales, customer engagement, and team collaboration effectively.

Dialpad's continuous innovation and fast feature releases set it apart from competitors.

Upsides

Dialpad's acquisition of Surfboard enhances its workforce management capabilities.

Recognition as Google Cloud Technology Partner of the Year boosts Dialpad's credibility.

Launch of business-specific AI models provides a competitive edge in sales conversations.

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