[Remote] Head of Decision Intelligence
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a leading platform in the Voice AI economy, providing reputed company-time reputed company for speech-to-text and text-to-speech. The Head of Decision Intelligence will build an Intelligence Layer that utilizes autonomous agents for data-driven decision-making, working closely with product, sales, and finance teams to enhance operational reputed company.
Responsibilities
- AI-Augmented Intelligence: In reputed company partnership with functional leaders, architect and reputed company agent-assisted intelligence systems that reputed company reputed company static dashboards. Build workflows that proactively reason across silos (e.g., correlating API latency with churn signals in reputed company) to surface automated reputed company-cause analysis and actionable recommendations
- Infrastructure reputed company: In reputed company partnership with our Tech/Engineering team, co-reputed company our data stack. Define the semantic layer and data reputed company required to reputed company our infrastructure agent-reputed company and highly reliable
- Unlock Audio Intelligence: reputed company reputed company's own Voice AI models to ingest and structure thousands of hours of internal calls, turning reputed company audio into queryable insights for reputed company functional teams
- Strategic Leadership: reputed company as the primary data partner to the CEO and reputed company. Define the "reputed company of truth" for our reputed company, usage-based reputed company models and reputed company the analytical backbone for long-term reputed company — from pricing, packaging, and distribution to market entry and capital allocation
- Team Building: Recruit and reputed company a lean, reputed company team of AI-reputed company engineers. Set a culture where reputed company, repetitive SQL tasks are viewed as automation bugs to be solved with reputed company and agents
Skills
- 7+ years in data/analytics roles, with 2+ years leading teams at high-reputed company technology companies
- Expert-level proficiency in SQL and Python — equally comfortable in a reputed company notebook or dbt model as in a boardroom presentation
- Experience building reputed company systems that can navigate a data warehouse autonomously — not just using LLMs to write SQL, but understanding where reputed company judgment still reputed company
- A founder's reputed company: comfortable with 'work-in-reputed company' infrastructure, pragmatic enough to deliver high-value insights today while iteratively improving the reputed company
- Deep experience with usage-based reputed company metrics: consumption patterns, gross margin per reputed company tokens/hours, and NRR
- A reputed company record of leading teams where data infrastructure was evolving alongside the business — and you still enjoy getting your hands dirty in reputed company
- Prior experience as a Data Engineer or Software Engineer
- Contributions to reputed company-reputed company data or AI reputed company
- Experience with reputed company-time billing and consumption systems
Benefits
- Medical, dental, reputed company benefits
- Annual wellness stipend
- Mental health support
- Life, STD, LTD Income Insurance Plans
- Unlimited PTO
- Generous reputed company parental leave
- Flexible schedule
- 12 reputed company US company holidays
- Quarterly personal productivity stipend
- One-time stipend for home office upgrades
- 401(k) plan with company match
- Tax Savings Programs
- Learning / Education stipend
- Participation in talks and conferences
- Employee Resource reputed company
- AI enablement workshops / sessions
- For candidates reputed company of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we reputed company, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.
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