ASAPP

Full-stack Engineer

• Tune and optimize ASR and TTS models for real-world call center environments
• Improve transcription accuracy, noise robustness, speaker variability, speech naturalness, prosody, pacing, pronunciation, and conversational flow
• Balance latency and quality tradeoffs in streaming speech pipelines
• Evaluate and integrate noise suppression, voice activity detection, and diarization technologies
• Architect and modernize scalable, highly available voice infrastructure
• Build multithreaded, low-latency server frameworks handling thousands of concurrent real-time audio streams
• Design and operate streaming ASR → LLM → TTS pipelines for live AI-driven customer conversations
• Develop robust media stream handling between telephony providers, clients, and ML services
• Define speech quality evaluation frameworks using WER/CER analysis, latency tracking, and perceptual TTS metrics
• Build monitoring tools and dashboards to detect production regressions
• Create load-testing and simulation tools for high-concurrency voice traffic
• Partner with Speech Scientists and ML Researchers to productionize ASR and TTS models
• Work with Security and Compliance teams on enterprise and regulatory voice-data standards
• Collaborate with Product teams to translate conversational quality requirements into measurable improvements

Speech Software Engineer

General

• Define ASAPP’s product vision, direction, priorities, and focused roadmap
• Partner with Research, Engineering, Delivery, and Security to convert AI advances into intuitive, reliable, commercially valuable products
• Work directly with customers to identify recurring enterprise problems and turn them into reusable product and platform capabilities
• Lead products from incubation and product-market fit through production deployment, adoption, expansion, and scale
• Establish ownership, success metrics, and accountability across the product portfolio
• Ensure customers deploy ASAPP’s GenerativeAgent and achieve measurable value
• Set standards for reliability, integrations, usability, configurability, adoption, speed to value, and business results
• Use telemetry, customer feedback, operational data, and business metrics to improve quality and set investment priorities
• Set standards for AI quality, evaluation, safety, reliability, latency, and observability
• Make prioritization and investment tradeoffs and partner with Engineering to ship with urgency, stability, and technical excellence
• Work with Sales, Marketing, Customer Success, and Delivery on positioning, packaging, segmentation, and product strategy
• Align Research, Engineering, GTM, Delivery, and company leadership around product priorities and customer outcomes
• Recruit, develop, and retain Product and Design talent
• Build an organization with strong leaders, clear accountability, and excellent judgment

Speech Software Engineer

Chief Product Officer