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4 mo agofound 5 d ago
AI Product & Evals Analyst (Voice Agents)
What the posting is about
Own evaluation, quality measurement, and dashboarding for AI voice agents. Improve analytics using AI tools and automation. Build reusable analytics frameworks and internal tooling. Define and maintain voice agent evaluation frameworks.
Read out of the posting
Levelmid
Experience asked2+ years
EmploymentFull time
LocationBengaluru, Karnataka, India
RemoteNot stated
Visa sponsorshipNot stated
SalaryNot published, and most postings do not
Posted2026-05-20
Found viaworkable, direct from their system
We saw it 4 months after it went up.
The posting, as the company wrote it
Company: Bluemachines.ai
Location: Bangalore / 5 days WFO
Experience: 3–4 years
Function: Analytics
Role Summary
We’re hiring an AI AI Product & Evals Analyst Analyst to own evaluation, quality measurement, dashboarding, and enterprise analytics for Bluemachines’ AI voice agents.
You will work at the intersection of AI Engineering, Product, and Customer Delivery to define how voice agent quality is measured, monitored, and improved at scale. This includes building evaluation frameworks, detecting regressions, analyzing business impact, and enabling enterprise teams with clear, actionable insights.
Beyond evaluation, we’re looking for someone with an AI-first mindset who can leverage modern AI tools and automation workflows to improve analytics, reporting, and operational efficiency. The role will also contribute toward building reusable analytics frameworks, internal intelligence tooling, and self-serve analytics capabilities for enterprise clients.
Your work will directly influence launch quality, customer trust, operational transparency, and how enterprise AI systems are measured and scaled.
What will you do?
Business & Enterprise Analytics
Track and analyze business KPIs tied to voice agent deployments (automation, containment, conversion, CSAT, cost savings, etc.)
Support enterprise billing, audit, and reconciliation workflows through reliable usage and conversation analytics
Translate AI behavior into clear operational and business impact insights for enterprise clients
AI-First Analytics & Automation
Leverage AI tools and agentic workflows to improve speed, quality, and scalability of analytics, reporting, and RCA workflows
Automate repetitive analytics and reporting tasks using LLMs, copilots, and workflow tooling
Drive AI-native ways of working across SQL, Python, dashboards, and insight generation
Analytics Platform & Internal Tooling
Build reusable analytics frameworks, standardized dashboards, and internal tooling for enterprise deployments
Contribute to self-serve analytics and intelligence capabilities such as text-to-data, AI-powered insights, and conversational analytics interfaces
Help evolve Bluemachines’ analytics and observability layer for enterprise AI voice agents
Voice Agent Evaluation
Design and own AI eval frameworks specifically for voice agents
Define conversation- and turn-level metrics
Build and maintain golden voice datasets across accents, languages, and noise conditions
What We’re Looking For
Must-Have
2–5 years of experience in Product Analytics, Data Analytics, AI Quality, or related analytical roles
Strong analytical thinking, metric design, and problem-solving skills
Hands-on proficiency in SQL and Python for analysis, evaluation, and data investigation
Ability to reason deeply about conversational, voice, and workflow-driven systems
Experience building dashboards and enterprise-grade visualizations using tools like Tableau, Power BI, Looker, or equivalent
Strong communication and storytelling skills with the ability to translate AI/system behavior into business insights
Comfort working cross-functionally with AI Engineering, Product, Operations, and customer-facing teams
AI-first mindset with strong adoption of modern AI tools, copilots, and automation workflows to improve productivity and scale analytics
Good-to-Have
Experience with voice systems such as STT, TTS, call analytics, or conversational AI platforms
Exposure to LLM-based products, prompt engineering, AI evals, or agentic workflows
Experience with enterprise analytics, client-facing reporting, billing/reconciliation, or operational analytics
Interest in building internal analytics tooling, reusable frameworks, or self-serve intelligence systems
Experience working in fast-moving AI or startup environments
Also open at Blue Machines AI
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