---
title: 'AI Engineer, Agentic Voice (TTS) at Dialpad'
canonical: 'https://feeny.ai/job/ai-engineer-agentic-voice-tts-dialpad-kitchener-d7fft9asys1v'
type: 'job'
last_seen: '2026-09-07'
---

# AI Engineer, Agentic Voice (TTS) at Dialpad

- **Company:** Dialpad
- **Location:** Kitchener, Canada
- **Compensation:** $145k–$173k
- **Posted:** 2026-06-19
- **Last confirmed live:** 2026-09-07
- **Apply:** https://job-boards.greenhouse.io/dialpad/jobs/8601273002

## Job description

## About Dialpad

Dialpad is the AI platform for customer experience, built to resolve customer problems in real time across voice and digital. Our AI agents learn from your best human agents and improve with every interaction, helping organizations understand their customers, deliver better experiences, increase operational efficiencies, and build a lasting competitive advantage.

Unlike legacy systems built to route and answer, or standalone agentic bot vendors built to deflect, Dialpad was built to resolve. Our AI agents and human agents operate on a single platform with shared context, allowing Agentic AI to resolve issues, advance deals, and eliminate busywork through automation while seamlessly handing conversations to humans when needed, with full context preserved.

Market-leading brands, including Randstad, Motorola Solutions, Netflix, the San Diego Padres, the Colorado Rockies Baseball Club, and Cal Athletics, trust Dialpad. Dialpad is backed by Andreessen Horowitz, GV, ICONIQ Capital, and T-Mobile.

Being a Dialer At Dialpad, AI isn’t just a feature; it’s how our teams do their best work every day. We put powerful AI tools in every employee’s hands so they can move faster, think bigger, and achieve more.

We believe every conversation matters. And we’ve built the platform that turns those conversations into insight and action, for our customers and ourselves.

We look for people who are intensely curious and hold themselves to a high bar. Our ambition is significant, and achieving it requires a team that operates at the highest level. We seek individuals who embody our core traits: Scrappy, Curious, Optimistic, Persistent, and Empathetic.

## Your role

As an AI Engineer on our Speech Team, you'll own the back-end implementation and linguistic optimization of the voice (TTS) layer for our next-generation AI agents. You'll work squarely within our Speech Team, a high-impact R&D and engineering group focused on speech recognition, enhancement, and synthesis; bridging core speech science and product engineering so our agents sound human, context-aware, and trustworthy.

You’ll build the systems that render voice: integrating and optimizing TTS engines, engineering the persona and parameter machinery, and exposing voice attributes to our customer-facing UI. You'll partner closely with our Voice Experience Designer, who authors and owns the persona standards and quality bar that you implement — you own the platform that makes their designs real, fast, and consistent at scale.

This position reports to our Senior Manager, AI Speech, is based at our Kitchener hub, and operates on a hybrid schedule.

## What you’ll do

- TTS backend implementation: Own the integration and optimization of multiple TTS vendor APIs behind a unified interface with failover, and lead research and prototyping of open-source and in-house TTS architectures.
- Latency & pipeline engineering: Minimize time-to-first-audio and end-to-end latency across the ASR → LLM → TTS pipeline while maintaining or optimizing voice quality, in partnership with ASR and Audio AI engineers.
- Linguistic optimization: Apply your knowledge of phonetics and sociolinguistics to format TTS input for maximum naturalness — SSML tags, punctuation-driven prosody, and text normalization for names, numbers, dates, and currency.
- Persona system & parameter exposure: Build the persona parameterization system and architect the logic that exposes voice attributes to the product UI, implementing the house standards defined by Agent Experience Design.
- Prompt engineering as code: Manage structured LLM and TTS prompt templates with versioning and a rigorous evaluation harness.
- Conversational turn design: Engineer context- and state-aware "thinking" utterances that maintain caller trust while tool calls and model steps run under the hood.

## Skills you’ll bring

- Technical foundation: Strong Python and hands-on experience with deep learning frameworks (e.g. PyTorch).
- Speech expertise: 3+ years in Speech Synthesis (TTS) or applied speech ML, including hands-on work with frameworks like NVIDIA NeMo, ESPnet, or Coqui, and with major TTS APIs such as ElevenLabs, Rime, and Cartesia.
- Linguistic background: Degree in Computational Linguistics, Computer Science, or AI/ML, with a strong understanding of phonetics, prosody, and syntax you can apply in code (G2P, pronunciation dictionaries, text normalization).
- Backend engineering: Experience building production-grade APIs and integrating multi-vendor services in a cloud environment (GCP preferred).
- Evaluation mindset: Fluency with speech-quality metrics (MOS, intelligibility, latency) and the ability to design and execute rigorous A/B tests for voice personas.
- Prompt engineering: Proven experience crafting, versioning, and evaluating LLM prompts (system, few-shot) and structured templates.

This is a builder role in a science/infrastructure org. If your strength is conversation design or prompt-tuning without production engineering, our Lead Voice Experience (VX) Designer role is likely the better fit. For exceptional talent based in Ontario, Canada the target base salary range for this position is posted below. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the target range for new hire salaries for the position. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in Ontario role postings reflect the base salary only, and do not include bonus, equity, or benefits.

Ontario Salary Range $145,000—$172,500 CAD

## Why Join Dialpad

- Work at the center of the AI transformation in business communications
- Build and ship agentic AI products that are redefining how companies operate
- Join a team where AI amplifies every employee’s impact
- Competitive salary, comprehensive benefits, and real opportunities for growth

We believe in investing in our people. Dialpad offers competitive benefits and perks, cutting-edge AI tools, and a robust training program that help you reach your full potential. We have designed our offices to be inclusive, offering a vibrant environment to cultivate collaboration and connection. Our exceptional culture, repeatedly recognized as a [Great Place to Work](https://www.greatplacetowork.com/certified-company/7007999#:~:text=91%25%20of%20employees%20at%20Dialpad,a%20typical%20U.S.-based%20company.&text=Source:%20Great%20Place%20To%20Work%C2%AE%202021%20Global%20Employee%20Engagement%20Study.&text=When%20you%20join%20the%20company,%20you%20are%20made%20to%20feel%20welcome.&text=People%20here%20are%20given%20a%20lot%20of%20responsibility), ensures that every employee feels valued and empowered to contribute to our collective success.

Don’t meet every single requirement? If you’re excited about this role and possess the fundamental traits, drive, and strong ambition we seek, but your experience doesn’t meet every qualification, we encourage you to apply.

Dialpad is an equal-opportunity employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment.

## About Dialpad

## Company Overview
- **One-liner**: Dialpad delivers an AI-powered, cloud-based platform for business communications and contact centers, turning conversations into actionable intelligence.
- **Entity Type**: Private (Series F, $450M total funding)
- **Headquarters**: San Ramon, California, United States
- **Founded**: 2011
- **Founders**: Craig Walker (CEO), Brian Peterson (CTO)

## Core Business
- **Primary industries**: Software Development / Unified Communications as a Service (UCaaS) and Contact Center as a Service (CCaaS)
- **Target customers**: B2B, mid-market to enterprise, including sectors like retail, insurance, healthcare, real estate, legal, recruiting, education, and automotive
- **Mission**: To completely transform how businesses understand and act on customer conversations — turning every interaction into intelligence that improves how work gets done.

## Products & Services
- **Dialpad Platform (Agentic AI Contact Center & Communications)** – A full-stack, AI-native platform combining voice, chat, SMS, email, and video. Features include autonomous resolution (schedule appointments, process orders, handle refunds), unlimited scale, enterprise-grade security (HIPAA, SOC 2), and deep integrations with Salesforce, Zendesk, Microsoft Teams, Google Workspace, and more.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (last secondary market transaction in April 2024)
- **Key Metric**: Annual Revenue: $200M (2024); Total Funding: $450M (9 rounds as of 2021)
- **Notable Investors/Partners**: Andreessen Horowitz, GV (Google Ventures), ICONIQ Capital, OMERS Growth Equity, SoftBank; key customers include Randstad, RE/MAX, Nasdaq, Express Scripts, T-Mobile, Johns Hopkins, Motorola Solutions, Tractor Supply, and Netflix
- **Growth Signals**: Over 92,000 LinkedIn followers (+12.7% YoY); 1,134 employees globally across 23 countries; secondary market activity indicates continued investor interest; recent focus on "Agentic AI" features for autonomous customer service

## Competitive Advantages
- **AI-native architecture** – Built for AI from the ground up, not bolted on; claims "first in AI" and "best in Agentic" for contact center automation.
- **Unified platform** – Combines UCaaS (internal comms) and CCaaS (customer-facing) in a single, integrated stack, reducing vendor complexity.
- **Scale and compliance** – Handles thousands of simultaneous customers across channels while maintaining HIPAA, SOC 2, and PII protection.
- **Deep ecosystem** – Integrates natively with major CRM, productivity, and helpdesk tools, lowering switching costs for enterprises.

## Strategic Focus
- Doubling down on **Agentic AI** – enabling fully autonomous resolution of customer requests (appointments, orders, refunds) without human transfers.
- Scaling enterprise adoption through **global offices** (San Ramon, Austin, Denver, Vancouver, London, Bengaluru, Manila, Sydney, Tokyo, Buenos Aires, etc.) and expanding AI-ecosystem partnerships.
- Investing in **AI engineering roles** (AI Engineer Voice Designer, Sr AI Engineer Agentic Systems, AI Systems Engineer) to advance real-time voice and autonomous workflows.

## Why Work Here
- Culture values: "Do the right thing", "Delight our users", "Innovate continuously", "Every voice matters".
- Hybrid/remote flexibility: Offices in many cities; roles marked "Anywhere, US" or specific locations; distributed team across 23 countries.
- AI-first engineering culture with opportunity to work on cutting-edge **Agentic systems** and real-time voice AI.
- Notable perks: Equipment stipend, equity (private company), and the chance to be part of a high-growth startup with $200M ARR and strong backers.
- Social impact: Dialpad for Good supports over 650 businesses via startup, founder, and nonprofit programs.

## Sources
1. [dialpad.com](https://www.dialpad.com/)
2. [dialpad.com/about-us](https://www.dialpad.com/about-us/)
3. [linkedin.com/company/dialpad](https://www.linkedin.com/company/dialpad)
4. [dialpad.com/leadership](https://www.dialpad.com/leadership/)
5. [dialpad.com/careers/open-opportunities](https://www.dialpad.com/careers/open-opportunities/)

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