- Set the Voice Insights technical vision and direction, tackling complex, open-ended technical challenges across data, AI, and analytics.
- Act as a player / coach, driving architectural decisions while ensuring engineering excellence across the team.
- Balance customer needs with technical design to deliver high-impact, scalable value quickly.
- Apply advanced artificial intelligence techniques to process speech data, derive deep insights, and enable automated actions.
- Design and build highly scalable data pipelines and event-driven architectures to reliably process millions of voice AI interactions.
- Collaborate closely with product and platform teams to align technical roadmaps and build world-class systems.
- Identify and eliminate sources of toil and inefficiency in systems and processes, promoting operational maturity.
- Continuously improve customer onboarding, data reliability, and operational excellence.
- 12+ years of software engineering experience, including significant experience in a technical leadership role driving architecture and strategy, ideally in distributed or data-intensive systems.
- Expert experience designing and implementing highly performant data pipelines and resilient event-driven architectures.
- Expert experience with cloud warehouse technologies like Google Big Query, Amazon Redshift, Snowflake.
- Strong Experience with Python, Google Pub/Sub and Reporting Tools.
- Proficiency in prompt engineering, including prompt design, evaluation, and deployment workflows for production systems.
- Demonstrated ability to mentor engineers and elevate technical quality and practices across multiple teams.
- Strong problem-solving skills and a growth mindset—comfortable with ambiguity, fast iteration, and making high-stakes technical trade-offs.
- Proven experience collaborating with customers or stakeholders to translate complex technical insights into measurable business impact.
Preferred Qualifications
- Experience as a people manager or formal team lead.
- Familiarity with voice-enabled or conversational AI systems.
- Experience designing APIs for high-throughput applications.
- Understanding of cloud platforms and large-scale distributed systems.
- Experience using LLMs to accelerate development or extract meaning from data.
Skills Required
- 10+ years of software engineering experience
- Expertise with React, including hooks, context, and modern patterns
- Hands-on experience with state management libraries (Redux, Zustand, Recoil, Reframe) and data-fetching strategies (GraphQL or REST)
- Solid understanding of HTML5, CSS3 (Flexbox/Grid) and CSS-in-JS or utility-first frameworks (e.g., Tailwind)
- Proficient in implementing accessibility standards (WCAG) and responsive design
- Strong UI/UX skills with an eye for pixel-perfect implementation
- Experience working directly with customers to gather feedback and improve applications
- Excellent communication skills and ability to collaborate across distributed teams
What We Do
At SoundHound Inc., we believe every brand should have a voice. As the leading innovator of conversational technologies, we’re trusted by top brands around the globe. Houndify, our independent Voice AI platform, with 70,000+ users, allows brands to create custom voice assistants that deliver results with unprecedented speed and accuracy. Our mission is to enable humans to interact with the things around them in the same way we interact with each other: by speaking naturally. We’re making that a reality through our SoundHound music discovery app and Hound voice assistant and through our strategic partnerships with brands like Mercedes-Benz, Hyundai, Deutsche Telekom, and Pandora. Today, our customized voice AI solutions allow people to talk to phones, cars, smart speakers, mobile apps, coffee machines, and every other part of the emerging ‘voice-first’ world. Our diverse team of engineers, UX/UI designers, writers, data scientists and linguists are all passionate about creating a world with more conversations. With more than 14 years of expertise in voice technology, we have hundreds of millions of end users, and a worldwide team in six countries building solutions for a voice-first world.








