Business Intelligence & Analytics Manager

Why Cast AI?
Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production.
The old way doesn’t work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation.
Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS.
Global team, diverse perspectives

We’re headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead.
Unicorn momentum

In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we’re just getting started.
Join us as we build the future of autonomous infrastructure.
About the role
As the BI&A Manager, you will own analytics and reporting across our go-to-market organization. This is a hands-on role for someone who can build the data infrastructure, dashboards, and metrics definitions that let Sales, Marketing, Channel, Customer Success, and Executive Leadership make decisions with confidence. You’ll partner closely with your GTM Operations team members and cross-functional leadership to turn raw data from Salesforce and other GTM systems into trusted, self-service reporting — and to prepare the analyses that inform weekly and quarterly business reviews.
Requirements:

5+ years of experience in business intelligence, analytics, or revenue operations, ideally within a B2B SaaS or technology company.
Proven experience owning BI strategy and delivery — not just building individual reports, but defining how a company measures and trusts its own data.
Strong SQL skills and hands-on experience with at least one modern BI platform (Looker, Tableau, Power BI, Sigma, or similar).
Deep fluency with Salesforce data models and CRM-driven reporting; experience with SaaS revenue metrics (ARR/MRR, pipeline, churn, retention, NRR/GRR).
A track record of turning raw data into structured, executive-ready deliverables (dashboards, decks, and written analyses) for leadership audiences.
Excellent stakeholder management — able to push back constructively on requirements, methodology, or data interpretation when needed.
Advanced Excel/Google Sheets skills alongside BI tooling.

Nice to have:

Experience with dbt, Snowflake, BigQuery, or similar modern data-stack components.
Familiarity with third-party enrichment or intent-data tools (e.g., HG Insights, Intricately, ZoomInfo, Apollo) and how they integrate with CRM data.
Prior experience supporting global GTM organizations spanning multiple regions (e.g., AMER and APAC).
Bachelor’s degree in a quantitative field (Statistics, Economics, Computer Science, or related) or equivalent experience.

Responsibilities:

Own the end-to-end BI strategy for GTM analytics — from data modeling and metric definitions through dashboard delivery and adoption.
Define and govern a single source of truth for core revenue metrics (pipeline, bookings, ARR/MRR, churn, retention, NRR/GRR, funnel conversion) across Sales, Marketing, BDR, Partnerships, and SE teams in AMER and APAC.
Evaluate, select, and manage BI tooling, balancing build-vs-buy trade-offs against cost and maintainability.
Design, build, and maintain executive-ready dashboards and self-service reporting that support weekly and quarterly business reviews.
Translate ad hoc questions from Sales, Marketing, and executive stakeholders into structured, reusable analyses rather than one-off exports.
Build and maintain pipeline health, funnel, and productivity models that surface risk and opportunity early enough to act on.
Perform deep-dive analyses (cohort, segmentation, attribution, forecasting) to answer specific business questions and support strategic planning.
Partner with Systems teams to ensure Salesforce and adjacent GTM systems produce clean, well-governed, analytics-ready data.
Establish data quality monitoring, validation checks, and escalation paths for BI-critical tables and metrics.
Document metric definitions, data lineage, and reporting logic so outputs are trusted and reproducible across teams.
Act as the primary analytics point of contact for Sales, Marketing, BDR, Partnerships, and Solutions Engineering leadership.

What’s in it for you?

Competitive salary
Flexible, remote-first global environment
Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology
Equity options
Learning budget for professional and personal development, including access to international conferences and courses
Team-building budget and company events to connect with your colleagues
Equipment budget to ensure you have everything you need
Extra days off to help maintain a healthy work-life balance
Potential for personal growth and promotion as the company grows and success drives more hiring and more opportunities

Hiring process

Screening call with Recruiter
Hiring Manager interview
1-2 additional interviews based on the role
Culture Check interview with an executive

As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr.
*Please note that Cast AI does not provide any form of visa sponsorship/work permit.
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