Software Engineering Manager/Tech Lead, Maven Voice

Maven AGI•Boston, MA

6d•$185,000 - $235,000•Hybrid

About The Position

Maven AGI is seeking an Engineering Manager/Technical Lead to help build its Voice Agent platform. This platform enables enterprise customers to automate real customer conversations through AI agents that can understand intent in real time, respond naturally, handle interruptions, execute workflows, and seamlessly hand conversations off to human agents when needed. This is a technical leadership role involving people mentorship, product execution, and strong engineering judgment. The role will support managing a team of engineers working across real-time voice infrastructure, conversational AI, agent orchestration, integrations, and customer-facing product experiences. The individual will partner closely with Product, AI/ML, Design, Customer Success, and other engineering teams to translate complex customer needs into reliable, scalable product capabilities. They will also work directly with enterprise customers and internal stakeholders to understand voice workflows, contact-center environments, and technical constraints, and help the team deliver solutions that operate at scale in production.

Requirements

7+ years of software engineering experience
3+ years of experience managing engineering teams
Strong technical background building and operating production software systems
Experience leading teams working on distributed, real-time, or high-concurrency applications
Strong understanding of APIs, backend systems, service-oriented architectures, and cloud infrastructure
Experience working with asynchronous systems, streaming data, event-driven architectures, or similar real-time workloads
Strong product judgment and experience partnering closely with Product and Design
Comfortable working across both technical architecture and day-to-day execution
Experience operating customer-facing systems where reliability and responsiveness are critical
Ability to communicate complex technical trade-offs clearly to both technical and non-technical stakeholders
Strong cross-functional collaboration skills
Comfortable working directly with customers to understand technical requirements and production issues
Comfortable operating in a fast-paced startup environment

Responsibilities

Manage and co-develop with a team of software engineers building Maven’s Voice Agent platform
Partner with Product and Design to define scope, sequencing, and technical approaches for new Voice capabilities
Partner closely with other technical leads to align architecture, engineering priorities, and execution
Help onboard engineers as the Voice team grows
Balance customer commitments, product velocity, platform reliability, and longer-term technical investments
Communicate technical risks, trade-offs, dependencies, and progress across the organization
Build strong partnerships across Engineering, Product, AI/ML, Customer Success, and Go-to-Market teams
Improve engineering processes while keeping the team fast, pragmatic, and focused on shipping high-quality products
Build a culture of technical ownership, experimentation, and continuous improvement
Guide the design, development, and operation of real-time voice and conversational AI systems
Lead engineering efforts across voice agents, conversation orchestration, telephony integrations, and customer workflows
Help the team build responsive, natural conversational experiences that handle interruptions, changing context, accents, languages, and unpredictable user behavior
Partner with AI/ML teams to integrate speech recognition, text-to-speech, LLMs, and other AI models into production voice experiences
Drive improvements in latency, reliability, call quality, scalability, and overall user experience
Guide integrations with telephony and contact-center infrastructure, including SIP, PSTN, WebRTC, Twilio, Genesys, Cisco, RingCentral, Zendesk Talk, and similar platforms
Build systems that allow AI agents to execute real-world workflows such as account updates, transactions, scheduling, refunds, and other customer actions
Ensure voice conversations can transition smoothly to human agents with the appropriate context, transcripts, summaries, and interaction history
Establish strong observability and debugging practices for distributed, real-time systems
Partner with customer-facing teams to investigate production issues and turn customer feedback into durable product improvements
Help define technical architecture and engineering standards as the Voice platform scales across customers and use cases
Evaluate and adopt technologies that improve voice quality, developer velocity, reliability, and product performance