Senior Customer Success Operations Analyst – Data‑Driven Automation & AI‑Powered Reporting Architect for SaaS Security Leaders at brighthush

About brighthush

brighthush is at the forefront of the cybersecurity revolution, turning identity protection from a reactive checklist into a proactive, data‑centric discipline. Our cutting‑edge platform delivers unified visibility across every human and machine identity, application, and integration within the SaaS ecosystem, enabling real‑time detection of identity‑based and supply‑chain attacks. Trusted by Fortune 500 leaders and recognized as a top startup employer, brighthush is on a rapid growth trajectory, backed by a $1.1 billion valuation and a partner ecosystem that spans the entire cloud stack.

Our mission is simple yet ambitious: transform an unmonitored attack surface into a governed, auditable environment that gives CISOs confidence and executives clarity. To achieve this, we are building a world‑class Customer Success organization that leverages data, automation, and AI to deliver proactive, measurable outcomes for our customers.

About the Team

The Customer Success Operations team is the backbone of our data strategy. As a foundational role, you will own the reporting and automation layer that transforms raw data into actionable insights, automated workflows, and AI‑driven dashboards. You will collaborate with Business Systems, Product Engineering, and Customer Success leaders to modernize how we structure, access, and act on customer data.

Role Overview

As a Senior Customer Success Operations Analyst, you will be the catalyst that turns data into decision‑making power for our customers and internal stakeholders. You will design, build, and maintain the reporting and automation infrastructure that fuels our Customer Success organization, ensuring that every team member has the right information at the right time. Your work will directly influence renewal rates, adoption metrics, and the overall health of our customer base.

Key Responsibilities

• Own the reporting and automation layer for Customer Success. Translate stakeholder needs for account health, QBR/EBR decks, and executive dashboards into field‑level requirements, then build the reporting and automation on top of the Customer Success data mart.
• Default to AI‑first workflows. Shape the roadmap for deterministic (data plumbing) and non‑deterministic (LLM‑driven) automation that surfaces customer insights, health checks, and recurring reports, replacing manual, ad‑hoc work wherever possible.
• Automate recurring Customer Success workflows beyond reporting. This includes renewal/adoption tracking, repetitive support tasks like ticket triage and diagnostics, and cross‑platform automation that connects support tools (e.g., brighthush) with systems like Slack, the data warehouse, and other SaaS platforms to cut down manual handoffs.
• Help define a secure, auditable data access model. Partner with Business Systems and Security to design and implement data access policies that protect customer‑tenant data while enabling efficient workflow automation.
• Maintain data quality and documentation. Monitor data sources for gaps, inconsistencies, or governance issues, and drive remediation in collaboration with data owners.
• Partner across Business Systems, Product/Engineering, and Customer Success. Shape how data flows into the reports and tools people use every day, ensuring alignment with product roadmaps and customer success strategies.
• Lead cross‑functional initiatives. Work with product managers, data scientists, and engineering leads to prioritize data projects that deliver the highest business impact.
• Mentor junior analysts. Share best practices, provide code reviews, and help build a culture of data excellence within the team.

Essential Qualifications

• Proven experience building data pipelines, dashboards, and automation on modern data platforms.
• Hands‑on expertise with Python or another scripting language for data transformation and workflow automation.
• Strong communication skills – able to translate ambiguous business reporting needs into concrete data requirements.
• Experience with data access governance and security best practices, especially around customer‑tenant data.
• Comfortable operating in ambiguous environments, partnering directly with engineering and data teams.
• Experience with SQL, dbt, and data modeling in a governed data mart environment.
• Familiarity with BI tools such as Looker, Tableau, or Power BI.

Preferred Qualifications

• Experience with brighthush or comparable modern data platforms, including querying, data modeling on governed marts, and metric/semantic views.
• Familiarity with customer success platforms (e.g., Salesforce, Gainsight, Totango) and CRM systems.
• Experience designing or implementing automation for technical support workflows and cross‑platform integrations (e.g., ticket triage, diagnostics, connecting support tools to brighthush, Slack, or data platforms).
• Background in cybersecurity, SaaS security, or a technical B2B SaaS environment.
• Experience with LLMs or generative AI for building intelligent workflows.

Skills & Competencies

• Data‑driven mindset with a passion for turning raw numbers into strategic insights.
• Advanced SQL and data modeling skills.
• Proficiency in Python, dbt, or similar ETL/automation frameworks.
• Experience with LLMs or generative AI for building intelligent workflows.
• Strong stakeholder management and cross‑functional collaboration.
• Adaptability and resilience in a fast‑moving startup environment.
• Excellent problem‑solving skills and a knack for simplifying complex processes.

Career Growth & Learning Opportunities

At brighthush, your career path is defined by impact, learning, and leadership. As a Customer Success Operations Analyst, you will:

• Lead high‑visibility projects that shape the future of our customer success platform.
• Mentor junior analysts and collaborate with senior data scientists and product managers.
• Gain exposure to AI/ML initiatives, data governance frameworks, and enterprise‑scale automation.
• Participate in cross‑functional hackathons, innovation labs, and industry conferences.
• Advance to senior analyst, lead, or product ownership roles within Customer Success or Data Engineering.
• Develop a deep understanding of the SaaS security landscape and how data drives customer outcomes.

Work Environment & Company Culture

brighthush fosters a culture of curiosity, collaboration, and continuous improvement. Our values include:

• Customer Obsession. Every decision is driven by the goal of delivering measurable value to our customers.
• Data‑First Decision Making. We rely on evidence, experimentation, and rigorous analysis.
• Innovation & Agility. We embrace new ideas, iterate quickly, and celebrate learning.
• Diversity & Inclusion. We believe diverse perspectives fuel creativity and better outcomes.
• Work‑Life Balance. Flexible schedules, remote options, and generous time off help you thrive.
• Continuous Learning. We provide access to learning platforms, conferences, and internal knowledge sharing.

Compensation, Perks & Benefits

We offer a competitive total rewards package that includes:

• Base salary range: $120,000—$130,000 USD (location‑adjusted).
• Equity grants that align your success with the company’s growth.
• 401(k) plan with company match.
• Comprehensive health, dental, and vision coverage.
• Flexible paid time off and paid holidays.
• 12 weeks of paid parental or family leave.
• Professional development stipend and access to learning platforms.
• Wellness programs, gym memberships, and mental health resources.
• Annual team retreats and offsite events.
• Remote‑friendly work environment with optional on‑site office.

Equal Opportunity & Inclusion

brighthush is an equal‑opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All hiring decisions are based on merit, passion, and potential.

How to Apply

Ready to transform customer success through data, automation, and AI? Click the link below to submit your application and join the brighthush team.