Own and lead Voice AI product areas end-to-end, from architecture and system design through implementation and long-term production operations.
Design, build, and operate real-time, large-scale, high-performance model serving systems for STT, TTS, and voice agent workloads with clear SLOs.
Drive cross-team collaboration with sister engineering teams to solve full-stack technical problems and coordinate end-to-end delivery across the product surface area.
Design, train, evaluate, and deploy ML systems powering real-time voice experiences including ASR, speech understanding, turn detection, and text-to-speech.
Improve voice AI quality through error analysis, data curation, metric design, and iterative model improvement with a focus on real-world performance.
Build evaluation frameworks for complex voice systems, measuring accuracy, robustness, latency, naturalness, and task completion.
Cresta turns customer conversations into a competitive advantage for contact centers by combining AI and human intelligence to uncover insights, automate processes, and empower teams. It is a Stanford AI lab-born company led by industry pioneers like Sebastian Thrun and offers a dynamic, mission-driven culture focused on revolutionizing the workforce with AI.
Lead a team of multi-disciplined software engineers to build web applications, agentic tooling integrations, and account management services.
Drive the self-serve growth engine, including activation funnels, in-product upgrade flows, and PLG experimentation and deployments.
Hold regular 1-on-1s with direct reports, help them navigate challenges, and coach them for their career development.
Deepgram provides real-time APIs for speech-to-text, text-to-speech, and building production-grade voice agents at scale, underpinning the Voice AI economy. The company is backed by leading global investors, has processed over 50,000 years of audio, and operates with an AI-first mindset, expecting rapid adaptation and innovation from its team.
You’ll help establish patterns, ship early AI-driven capabilities, and influence the technical direction of AI across multiple products.
This is a full-stack role where you will build and ship AI-powered features across the Momence platform.
Collaborate with teams across Momence, Mariana Tek, and other platforms to identify high-impact opportunities for AI.
Xplor provides cloud-based technology solutions to small and medium-sized businesses to help them manage and grow. They have over 130,000 businesses in 72+ countries rely on Xplor.
Work on the core systems powering Synthesia’s script preview and voice generation experience.
Build and operate backend services that orchestrate multiple text-to-speech (TTS) providers.
Design and evolve systems that handle provider reliability, request routing, and output consistency.
Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. They develop products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following their recent Series E funding round, Synthesia's valuation stands at $4 billion.
Own technical direction for high-impact AI products and work across teams to turn big ideas into shipped systems.
Help raise the bar for how they build, evaluate, and operate AI in production.
Rula strives to create a world where mental health is no longer stigmatized and provides quality, evidence-based care. They are a remote-first company that is dedicated to treating the whole person, not just the symptoms, and making a positive impact in the field of mental healthcare.
Design, build, and maintain the inference infrastructure that powers Sword Health's AI products.
Own the end-to-end deployment pipeline for AI models.
Architect and scale Kubernetes clusters for GPU-accelerated workloads.
Sword Health is shifting healthcare from human-first to AI-first through its AI Care platform, making healthcare available anytime, anywhere, and reducing costs. They have over 1,000 enterprise clients and have raised more than $500 million from leading investors.
Own software architecture and delivery: design, deploy, and operate systems at scale
Design and evolve our AI systems, including: prompting and orchestration logic context and retrieval systems (search, integrations, memory) evaluation infrastructure (LLM-as-judge, regression testing) expert feedback systems (building eval sets from their natural workflow)
Hire, manage, and grow the engineering team (currently 3 FTEs)
Inhouse is the #1 AI lawyer for small to midsize businesses. They combine AI, their own law firm, and an expert feedback loop to deliver fast, compliant, high-quality legal work at a fraction of the cost and turnaround time of traditional firms.
Design the foundations and technical roadmap of the AI layer within the Hume platform.
Contribute to the codebase, setting the standard for technical excellence, performance, and scalability.
Work within a shared decision-making structure alongside Product Managers and our Chief Scientist.
GraphAware is a company striving for excellence in connected data analytics, empowering democratic government agencies. They have a motivating and supportive environment, where autonomy is balanced with accountability.
Collaborate within a multi-disciplinary team of product managers, designers, software engineers, machine learning and biomedical scientists.
Design, build, and maintain scalable, reliable AI systems.
Drive technical decisions and provide context-aware solutions for AI systems in biological research.
Owkin is an AI company with a mission to solve the complexity of biology. They are building the first Biology Super Intelligence (BASI) by combining powerful biological large language models, multimodal patient data, and agentic software.
Partner with stakeholders across the organization to identify and prioritize high-value opportunities for AI and automation.
Design, develop, and support AI & automation systems that drive measurable business outcomes—from initial scoping to production deployment.
Design, build, and maintain scalable infrastructure, including frontend interfaces, backend services, and the underlying AI platform layer.
Continued is an EdTech company dedicated to empowering professionals and enhancing careers. They are a 100% virtual team scattered across the country, maintaining a tight-knit culture driven by curiosity, a love of learning, and a desire to solve complex problems.
Contribute to the development of software infrastructure to support the creation of agentic systems.
Deploy and operate cloud-hosted services for use by the research community.
Define key directions to keep UChicago at the forefront of AI/ML and national data infrastructure.
The University of Chicago delivers solutions to the research community worldwide through Globus, a sustainable, non-profit unit. They develop cloud-based software for governmental, academic, and commercial organizations, emphasizing data management challenges, and house employees in downtown Chicago and remotely.
Partner with Sales, Customer Success, and Marketing to identify and prioritize high-leverage AI automation opportunities
Design, build, and deploy AI-enabled services and agent-based workflows end-to-end
Ensure solutions meet security, compliance, and governance standards
Quantum Workplace helps leaders build thriving teams that are aligned, empowered, and valued. They are an HR technology company with over 20 years in the space and have partnered with thousands of organizations.
Own and evolve core AI platform components, including search, retrieval, and multi-agent orchestration systems.
Architect and scale Kubernetes-based document processing pipelines for ingestion, parsing, and structured data extraction.
Drive ambiguous, high-impact projects from definition through to production, establishing evaluation frameworks and writing production-grade code.
Trunk Tools is a leading AI company revolutionizing the construction industry by embedding intelligent automation directly into field operations to modernize analog processes. It is a Series B startup with 65+ employees, including 25+ engineers, fostering a close-knit, collaborative, and inclusive culture where every team member's voice matters.
Architect, develop, and maintain scalable, robust backend services, starting from our voice and chat AI applications, built on our PHP monolite.
Coordinate and guide a small team of Engineers.
Experiment with new technologies to achieve real-time and seamless integrations, implementing POCs to try the latest trends in AI environment, partnering with AI/LLM engineers.
Tuotempo transforms healthcare experiences through intelligent digital solutions. It's a trusted patient engagement platform powering some of Europe and Latin America's leading healthcare institutions. They have a remote-first culture with hubs in Bologna or Barcelona.
Design and build AI-driven virtual agents to automate customer service across digital and voice channels.
Own the full AI agent lifecycle from design through deployment, including architecture, integration, and performance optimization.
Partner directly with customers to translate business challenges into technical solutions and act as a trusted advisor.
NiCE develops AI, cloud, and digital software products used by over 25,000 global businesses to enhance customer experiences, combat financial crime, and ensure public safety. With over 8,500 employees across 30+ countries, it fosters a fast-paced, collaborative, and innovative culture where teams constantly raise the bar.
Build and improve AI-enabled product features from prototype to production.
Build and maintain product features and supporting backend components, including services, integrations, and internal workflows.
Create automated tests and proactively fix issues to keep releases stable, as engineers own quality without a dedicated QA function.
Varicent transforms the Sales Performance Management (SPM) market by redefining how organizations achieve revenue success. They are a market leader in SaaS solutions, empowering revenue leaders globally to design smarter go-to-market strategies and maximize seller performance.
Lead architecture and implementation for enterprise deployments using Deepgram's speech-to-text, text-to-speech, and voice-agent capabilities.
Own post-sales technical success for assigned accounts, unblock integrations, optimize accuracy and latency, and guide customers to stable production.
Serve as the Tier-3 escalation point for complex issues, drive root cause analysis, propose mitigations, and write durable fixes or automation when possible.
Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text, text-to-speech, and building production-grade voice agents at scale. The company has processed over 50,000 years of audio and is backed by prominent investors, fostering a collaborative, AI-first culture where employees are expected to actively use and experiment with advanced AI tools.
ScienceLogic is redefining IT operations for the modern enterprise. Their AIOps platform empowers organizations to achieve Autonomic IT, helping enterprises and service providers gain unified visibility across hybrid and multi-cloud environments.
Set industry standards in AI-powered communication.
Synthflow is creating user-friendly, AI-driven phone agents for businesses. As an early-stage company on the rise, they offer a fully remote work environment, indicating a modern and flexible culture.