Info on the AI Analyst - Developer (Telemetry) role
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Ubiminds is a GPTW-certified, people-first company that partners with American software product companies to scale their global teams. We connect top LATAM talent with international product companies while providing full employer-of-record support and long-term career development.
In this opportunity, you will join a global engineering organization undergoing an AI-native transformation, helping engineering teams adopt modern AI development workflows and significantly accelerate their productivity.
This role combines hands-on engineering expertise, AI tooling mastery, and developer enablement, helping teams integrate AI-powered workflows into their daily development processes.
Challenge
We are looking for an AI Analyst - Developer Telemetry who will be the measurement backbone of the AI Accelerator engagement.
This role builds and maintains the data infrastructure that makes the transformation visible -- turning raw signals from AI coding tools, GitHub, and CI/CD pipelines into executive-grade dashboards that track the Carpaccio Metric, identify Super-Builder candidates, and prove ROI in real time.
This is not a generic data analyst role. It requires someone who understands how software gets built - how PRs move, how AI tools are actually used versus how they are configured, and what engineering productivity metrics actually tell you versus what they obscure. The ideal candidate is a data engineer or analytics engineer who has spent time inside an engineering organization and has strong opinions about what good developer productivity measurement looks like.
Responsibilities:
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Daily pipeline health checks and anomaly triage (first 30 minutes of each day)
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Weekly cohort analysis reports delivered every Monday to the Project Lead
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Maintain and update dashboard visualizations as new telemetry sources are onboarded
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Sync with AI Analyst - DevX to cross-reference quantitative signals against qualitative friction findings
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Attend weekly executive readouts to provide real-time data context when questions arise
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Train HireVue team members on dashboard interpretation on a rolling basis throughout the engagement
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Submit a weekly pipeline health digest to the Project Lead every Friday
Mandatory Skills:
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4+ years in data engineering, analytics engineering, or a hybrid data/software role inside an engineering organization
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Demonstrated experience building production-grade data pipelines -- not just running queries, but owning the infrastructure that feeds dashboards
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Hands-on experience with GitHub API and CI/CD pipeline data (not just using GitHub, but extracting and processing its event stream)
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Prior exposure to developer productivity metrics, DORA metrics, or engineering KPI programs -- ideally as the person who built the measurement system, not just consumed it
Nice to Have:
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Experience at a SaaS company with a distributed engineering team of 50 or more engineers
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Familiarity with the Workday or Salesforce data ecosystem (HireVue integrates with enterprise HR and talent platforms)
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Prior work on an AI transformation or developer productivity initiative -- ideally one where you owned the measurement infrastructure
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Experience with real-time dashboarding and streaming data pipelines (Kafka, Kinesis, or equivalent)
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Team & Environment:
- Distributed engineering teams across LATAM and the U.S.
- Highly collaborative environment focused on experimentation and innovation.
- Strong engineering culture centered on mentorship, knowledge sharing, and continuous improvement.
- Opportunity to shape AI-native engineering practices at scale.
- High visibility role working closely with engineering leadership.
- Experience designing internal engineering guilds, communities of practice, or centers of excellence.
- Experience building AI-enabled developer workflows in enterprise SaaS environments.
- Experience working in HR tech, AI platforms, or enterprise SaaS ecosystems.
- Experience creating technical curriculum or internal developer training programs.