- Build and maintain automated workflows that analyze conversation transcripts at scale, surfacing trends in intents, containment, fallbacks, escalations, drop-offs, and sentiment
- Use LLMs and NLP techniques to tag, cluster, and summarize conversations, and validate output quality before it reaches customers
- Create reusable reports and dashboards that can be deployed across the Tier 3 portfolio with minimal manual effort
- Recommend specific improvements (new intents, prompt and response changes, knowledge gaps, flow fixes) backed by transcript evidence
- Flag anomalies and regressions early, such as a spike in fallbacks after a release
- Track customer KPIs, business case metrics, and profitability across your book of business
- Identify expansion opportunities in the data and partner with customers to pursue them
- Present findings in periodic insight reviews and act as a customer educator on conversational AI best practices
- Work with product and engineering to log Jira tickets, pilot new analytics features, and feed customer insights into the roadmap
- 4-6+ years in analytics, customer success, or client-facing data roles (conversational AI or CX analytics experience is a plus)
- Hands-on experience with Python, SQL, or similar scripting, plus BI or workflow tools such as Tableau, Power BI, Looker, or Zapier
- Working knowledge of LLMs and prompt engineering, including evaluating output for accuracy and bias
- Experience turning unstructured text or conversation data into clear, business-relevant findings
- Strong data storytelling skills and advanced Excel and PowerPoint
- Familiarity with conversational AI concepts like intents, NLU, dialog flows, and containment
- Excellent communication skills and the ability to build customer relationships in a low-touch model
- High attention to detail, strong initiative, and the ability to prioritize across a large portfolio
- Experience with voice or speech AI analytics
- Familiarity with Jira and Salesforce
- Experience managing analysts in a scaled function
Skills Required
- 4-6+ years of experience in analytics, customer success, or client-facing data roles
- Hands-on experience with Python, SQL, or similar scripting
- Experience with BI or workflow tools such as Tableau, Power BI, Looker, or Zapier
- Working knowledge of LLMs and prompt engineering, including evaluating output accuracy and bias
- Experience turning unstructured text or conversation data into business-relevant findings
- Strong data storytelling skills
- Advanced Excel and PowerPoint skills
- Familiarity with conversational AI concepts including intents, NLU, dialog flows, and containment
- Excellent communication skills and ability to build customer relationships in a low-touch model
- High attention to detail, strong initiative, and ability to prioritize across a large portfolio
- Experience with voice or speech AI analytics
- Familiarity with Jira and Salesforce
- Experience managing analysts in a scaled function
SoundHound Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about SoundHound and has not been reviewed or approved by SoundHound.
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Healthcare Strength — Health coverage is described as comprehensive, including medical, dental, vision, life, and disability insurance for full-time employees. These core protections are consistently highlighted and are considered a strong part of the package.
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Equity Value & Accessibility — Equity is widely available through RSUs/stock options and an employee stock purchase plan with a look-back feature. Ownership opportunities are positioned as a key component of total rewards.
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Wellbeing & Lifestyle Benefits — Everyday perks such as catered lunches/snacks, team events, and wellness initiatives are part of the workplace experience. These lifestyle benefits add convenience and foster a sense of community in office settings.
SoundHound Insights
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.
