Jobs at Dialpad

Leads global and national partner marketing programs for Google Cloud and T-Mobile, driving partner engagement, pipeline, and revenue. Develops joint go-to-market strategies, integrated campaigns, seller enablement, executive and customer events, advocacy programs, and scalable co-marketing frameworks. Manages MDF budgets, establishes performance KPIs, measures ROI, and optimizes partner marketing processes. Collaborates with Channel Sales, strategic partners, executives, and cross-functional teams to translate cloud, AI, and platform capabilities into compelling customer and seller programs.

Build and operate shared AI/ML platform systems spanning GPU training infrastructure, model evaluation, artifact management, release workflows, and production inference. Develop reliable, observable, low-latency model-serving systems; optimize GPU workloads; improve deployment safety, monitoring, benchmarking, and rollback processes; and partner with ASR/NLP scientists to move models into production. Lead technical projects, make architectural decisions, and mentor engineers.

Own production systems for real-time speech AI, including model serving, self-hosted inference, third-party API integrations, scaling, reliability, observability, release infrastructure, and failover. Build backend services and deployment workflows that meet latency, uptime, quality, and cost objectives. Partner with speech, MLOps, platform, telephony, and product teams while providing technical leadership and mentorship.

Own end-to-end enterprise customer deployments from kickoff through launch and adoption. Manage project plans, scope, timelines, milestones, risks, dependencies, deliverables, escalations, and changes across multiple implementations. Lead customer meetings, executive communications, administrator training, integrations, device provisioning, and issue resolution. Partner with Solution Architects, Customer Success, Support, Product, Sales, and other teams to deliver successful SaaS implementations and transition customers into long-term adoption.

Owns end-to-end enterprise SaaS deployments from kickoff through launch and adoption. Manages project scope, timelines, milestones, risks, dependencies, deliverables, escalations, and cross-functional stakeholders across multiple implementations. Leads customer meetings, executive communications, administrator training, integrations, device provisioning, and issue resolution while partnering with solution architects, customer success, support, product, and sales teams to deliver successful customer outcomes.

Build scalable automated testing frameworks for AI Contact Center systems. Develop UI, API, database, functional, regression, end-to-end, capacity, security, load, and performance tests. Own test strategy, create instrumentation for non-deterministic AI behavior, analyze failures, define quality KPIs, integrate tests into CI pipelines, participate in design reviews, and mentor engineers while communicating results across teams.

Own the full mid-market sales cycle, from lead conversion and strategic prospecting through complex deal closure. Build pipelines, develop multi-stakeholder opportunities, collaborate with SDRs, partners, sales engineers, and leadership, and manage forecasts and deal reviews. The role focuses on acquiring new customers and solving business communication challenges using Dialpad’s SaaS products.

Own and execute the roadmap for shared microservices infrastructure, designing scalable distributed systems, multi-region architecture, cloud resources, and Terraform-based infrastructure automation. Develop backend systems in Python, improve observability, reliability, and cost efficiency, participate in design reviews, incident response, and on-call rotations, and mentor engineers while partnering across product and infrastructure teams.

Designs and configures contact center call flows, integrations, desk phones, and communications platforms. Consults with clients on operational needs, leads deployments, troubleshoots implementation issues, identifies improvements, performs risk analysis and change management, and guides customers through adoption. The role requires expertise in VoIP, networking, cloud infrastructure, enterprise systems, and CCaaS and UCaaS implementations.

Implement SEO, GEO, and AEO tactics to improve Dialpad’s visibility and citations across search engines and AI platforms. Create, edit, and publish website content using AI tools; support visual updates, GEO and CRO testing, backlinking, outreach, and PR and social initiatives. Conduct keyword and prompt research, competitive analysis, and monitoring of rankings, mentions, and citations while staying current on evolving AI search practices.

Own end-to-end U.S. and international payroll processing, reconciliations, payroll journal entries, and general ledger accounting. Manage benefits deductions, time and attendance data, payroll taxes, audits, year-end reporting, and employee payroll inquiries. Partner with vendors, People Operations, Finance, Treasury, and other teams to resolve issues, support system integrations, ensure regulatory compliance, and improve payroll processes across multiple countries.

Own quality strategy and release readiness for assigned product areas in Dialpad’s AI communications platform. Responsibilities include functional, integration, regression, exploratory, UI, API, and end-to-end testing; maintaining automated test suites; validating enterprise workflows and AI capabilities; investigating failures; reporting defects; performing root-cause analysis; and collaborating with Japanese, APAC, and global stakeholders to improve quality and release confidence.

Own small-business sales from lead conversion through closed-won deals, acquire new customers, meet revenue targets, and serve as the first point of contact. Engage prospects through phone, live chat, and marketing leads, primarily in North America. Understand customer needs, present Dialpad solutions, support account setup, and partner with Billing, Support, Marketing, and Sales teams to ensure a strong customer experience.

Own end-to-end quality for Dialpad’s AI voice-agent features by developing test automation, evaluation frameworks, observability tooling, and CI/CD quality checks. Test frontend, backend, API, audio, text, orchestration, and tool integrations, including performance, reliability, safety, hallucination, and bias risks. Partner with AI and development teams on prompts, models, and evaluation strategies; define quality KPIs, participate in architecture reviews, and mentor engineers.

Dialership is a virtual, unpaid summer program (June–August 2027) where participants attend two weekly sessions to learn about business functions (sales, engineering, marketing, product, AI, etc.), network with leaders, get resume/LinkedIn feedback, and receive a certificate upon completion. No work projects are assigned; participants commit to 2 hours/week and engage in interactive sessions.

Lead architecture and delivery of Dialpad's agentic AI platform: build scalable multi-agent orchestration, real-time conversational and voice reasoning, retrieval and memory systems, inference/fine-tuning pipelines, observability and safety frameworks, and mentor engineering teams while partnering cross-functionally to productionize autonomous workflow execution.

Lead architecture and delivery of Dialpad's agentic AI platform, building scalable multi-agent orchestration, memory and retrieval systems, real-time voice reasoning, inference optimization, safety/observability, and production integrations while mentoring engineers and partnering with product and research.

As a Sr. SDET at Dialpad, you will develop and maintain test automation frameworks for AI voice agent services, ensuring end-to-end quality. Responsibilities include designing automation tools, integrating AI quality checks, conducting performance tests, and mentoring engineers. Collaboration with AI teams and code development in Python, Java, or JavaScript is essential.

As a Software Development Engineer in Test, design scalable automation frameworks using Python and Playwright, validate AI-driven systems, develop testing strategies, and mentor junior engineers.

Lead vision, architecture, and delivery of Dialpads agentic AI platform. Manage ~130 engineers across multiple teams, drive platform roadmap, reliability, safety, evaluation, and observability. Partner with Product, Research, Design, and executives to align strategy, hire and grow managers and architects, set KPIs and OKRs, and optimize budgets for production-grade multi-agent orchestration and real-time conversational AI systems.