Dialpad
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Information Technology
Own end-to-end quality for AI voice agent features by building automated test frameworks, evaluation tooling, CI/CD quality checks, observability, performance tests, and probabilistic validation. Partner with AI and development teams on prompt engineering, model evaluation, reliability, safety, and release qualification. Define AI quality KPIs, mitigate hallucination and bias risks, participate in architecture reviews, and mentor engineers developing scalable quality practices.
Information Technology
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.
Information Technology
Own the platformization roadmap for Shared Services: design and decouple reusable services, write architecture docs, estimate resources, drive execution, develop well-tested features, review designs, mentor engineers, and present large-scale demos to improve developer experience, productivity, security, and scalability.
Information Technology
Lead and mentor a team of Customer Success Managers for Key Accounts to drive product adoption, retention, and expansion. Act as customer advocate, manage escalations, monitor account health, collaborate cross-functionally, report KPIs to leadership, and develop strategies for at-risk customers and long-term customer value.
Information Technology
Conduct R&D and implement state-of-the-art NLP and ML algorithms to build real-time, multimodal, agentic LLM features for transcribed voice and chat data. Evaluate model performance, manage large text datasets, collaborate with engineering/product/design to deploy scalable models, and contribute to academic publications.
Information Technology
Provides independent legal counsel on AI governance, product privacy, data protection, security certifications, telecom-related compliance, commercial contracts, marketing, incident response, and regulatory obligations. Advises Product, Engineering, Security, Sales, Marketing, and Customer Success teams on GDPR, CCPA/CPRA, HIPAA, biometric privacy, AI laws, call recording, and cross-border data transfers. Supports privacy programs, data requests, breach response, legal operations, and practical compliance frameworks.
Information Technology
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.
Information Technology
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.
Information Technology
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.
Information Technology
Lead platform-level product design for AI-first business communications. Define patterns, primitives, and interaction models, ship coded prototypes and production code, evolve the design system, mentor designers, and drive cross-team AI-enabled tooling and infrastructure.
Information Technology
Own product direction for custom SLMs, ASR, and real-time inference across the full model lifecycle: data acquisition and annotation, training and adaptation, evaluation, release, monitoring, and retirement. Define data strategy and quality bars, run evals and error analyses, make trade-offs between latency, cost, and model capability, and coordinate with product engineering and GTM while owning release and rollback decisions.
