ASAPP

Machine Learning Engineer

• Design and development of ML evaluation systems for agentic and LLM-based architectures
• Translate research ideas into production-grade ML systems with measurable impact
• Partner closely with Research, Product, and Platform teams to productize experiments into robust AI solutions
• Stay current with advancements in ML, NLP, and LLM systems, contributing actively to technical discussions across teams
• Mentor and support other engineers through design reviews, feedback, and knowledge sharing.

Lead Machine Learning Engineer

Executive Assistant

• Own and proactively manage the CEO’s calendar, as well as calendars for select leadership team members, ensuring focus on top priorities and effective time allocation
• Act as the primary gatekeeper for the CEO’s time by triaging and prioritizing incoming requests and communications, while coordinating needs for selected leaders.
• Coordinate complex internal and external meetings across multiple stakeholders and time zones, including scheduling, agendas, and follow-ups.
• Partner closely with the CEO on weekly planning, leadership meetings, offsites, and key company events, providing additional support to selected leadership members as needed.
• Manage end-to-end travel logistics for the CEO and selected leaders (flights, accommodations, ground transportation, detailed itineraries) and quickly adapt to changes.
• Prepare and submit accurate, timely expense reports via Ramp for the CEO and supported leaders.
• Serve as a liaison between the CEO, selected leadership team members, employees, and external partners, maintaining clear and professional communication
• Handle highly sensitive and confidential information with exceptional discretion and judgment
• Demonstrate strong critical thinking and decision-making skills, with the ability to independently problem-solve, navigate ambiguity, and act resourcefully.
• Maintain a high level of availability, responsiveness, and reliability in a fast-paced, dynamic environment.

Account Manager

• Develop and execute channel plans that deliver measurable pipeline and revenue
• Source, recruit, vet, and negotiate with strategic partners
• Own partner onboarding and enablement, including playbooks, training, and joint marketing materials
• Support partner certification and training programs to accelerate time-to-impact
• Manage day-to-day stakeholder relationships across customers, prospects, and partners to drive co-selling and co-marketing opportunities
• Collaborate with Product and Engineering to support integrations and technical alignment between ASAPP and partners
• Translate ASAPP’s technical capabilities into clear, compelling partner value propositions
• Align partner initiatives with company objectives and sales priorities
• Forecast, manage, and help close partner-sourced pipeline and revenue
• Track KPIs to measure partner performance and program effectiveness
• Represent ASAPP at partner meetings, industry events, and conferences

Partner Manager

Full-stack Engineer

• Lead the design and implementation of a scalable, high-availability voice infrastructure that replaces legacy systems.
• Build and refine multi-threaded server frameworks capable of handling thousands of concurrent, real-time audio streams with minimal jitter and latency.
• Deploy robust ASR > LLM > TTS pipelines that process thousands of calls concurrently.
• Develop robust logic for handling media streams, ensuring seamless audio data flow between clients and our ML models.
• Build advanced monitoring and load-testing tools specifically designed to simulate high-concurrency voice traffic.
• Partner with Speech Scientists and Research Engineers to integrate state-of-the-art models into a production-ready environment.

Speech Software Engineer

Systems Engineer

• Act as a technical authority and advisor across multiple engineering teams
• Develop and drive alignment on system design, technical roadmaps, best practices
• Design and implement a scalable, multi-tenant deployment architecture that supports easy configuration of agents and business workflows for various customers
• Define the communication, state management, and orchestration patterns for multi-agent systems
• Mentor senior engineers and help raise the bar on systems thinking across the organization
• Own and define system-level SLOs/SLIs for high-traffic, real-time voice and text services, focusing on latency, cost-efficiency, and fault tolerance across the ecosystem
• Identify systemic risks and proactively design mitigation strategies
• Partner with Security and Compliance teams to ensure systems meet regulatory and security requirements
• Lead post-incident analysis and drive systemic improvements
• Partner with Product, Customer Engineering, SRE, and TPMs to translate business requirements into system designs
• Work with Research to evaluate and productionize cutting-edge ideas in the ML space
• Drive complex initiatives that span multiple quarters and involve multiple teams
• Communicate complex technical concepts clearly to both technical and non-technical stakeholders

Senior Staff Systems Engineer

DevOps Engineer

• Work with product engineering teams on service architecture and implementation
• Deliver Infrastructure configuration as code and automate everything
• Direct and implement monitoring and alerting systems to support rapid problem diagnosis
• Perform Root Cause Analysis and design and deliver resolutions
• Work on our Kubernetes / AWS infrastructure to support our product engineers
• Design secure and performant networking solutions in our production systems

Site Reliability Engineer

Analyst

• Deliver exceptional white-glove support for ASAPP’s executive leadership, ensuring high-touch service and minimal downtime.
• Act as the primary escalation point for complex technical issues, providing deep-dive troubleshooting for macOS, Windows, and core SaaS platforms.
• Optimize the User Lifecycle, managing the end-to-end onboarding and offboarding process with a focus on automation and security.
• Drive IT Excellence by maintaining and evolving our internal knowledge base, runbooks, and self-service documentation.
• Partner with IT Engineering to identify, design, and implement automated workflows that eliminate manual toil.
• Champion Endpoint Security by contributing to initiatives focused on device management, access control, and compliance.
• Participate in an on-call rotation to ensure the stability of business-critical operations.

Senior IT Analyst

• Design and development of ML evaluation systems for agentic and LLM-based architectures
• Translate research ideas into production-grade ML systems with measurable impact.
• Partner closely with Research, Product, and Platform teams to productize experiments into robust AI solutions
• Stay current with advancements in ML, NLP, and LLM systems, contributing actively to technical discussions across teams
• Mentor and support other engineers through design reviews, feedback, and knowledge sharing.