About brighthush
brighthush is redefining the cyber‑security landscape by protecting the identity layer that fuels modern enterprises. In an era where every SaaS platform, AI agent, and cloud service is a potential attack vector, brighthush delivers a unified, real‑time view of every human and machine identity, application, and integration across the entire SaaS estate. Our platform detects identity‑based and supply‑chain attacks instantly and enforces least‑privilege access before exploitation can occur.
Trusted by leading Fortune 500 organizations, brighthush has experienced explosive growth, ranking No. 95 on the 2025 Fast 500™ and expanding nearly 1,000% from 2021 to 2024. In 2026, we secured $85 million in Series D financing, propelling our valuation to $1.1 billion and cementing our status as a unicorn. This capital fuels our commitment to advancing agentic AI security and establishing brighthush as the industry standard for governing AI agents within third‑party applications.
With a rapidly expanding partner ecosystem—including major technology providers—and a clear path toward long‑term growth and IPO readiness, brighthush is poised to redefine how enterprises manage identity risk. Join us as we build the future of cyber‑security and empower customers to govern their attack surface with confidence.
About the Team
We are launching a new Service Operations function within Customer Success, designed to modernize how we structure, access, and act on customer data. This foundational role will transform raw data into automated reporting and AI‑assisted tools that enable real‑time customer health tracking, streamline quarterly and executive business reviews, and provide executives with crystal‑clear visibility into customer outcomes.
About the Role
As a Senior Customer Success Operations Analyst at brighthush, you will be the linchpin between data, automation, and customer success. You will own the reporting and automation layer, translating stakeholder needs into actionable field‑level requirements and building the solutions that power our Customer Success data mart.
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 (AI/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 – Include 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 brighthush, brighthush, and the data warehouse to cut down manual handoffs.
- Help define a secure, auditable data access model – Work with Business Systems and Security to design and implement a governance framework that protects customer‑tenant data while enabling efficient access.
- Maintain data quality and documentation – Flag gaps, inconsistencies, or governance issues in Customer Success data sources and maintain comprehensive documentation.
- Partner across Business Systems, Product/Engineering, and Customer Success (TAM and Support) – Shape how data flows into the reports and tools people use every day, ensuring alignment across teams.
Essential Qualifications
- AI‑first problem‑solving mindset – you evaluate where agentic or LLM‑driven workflows can replace manual, ad‑hoc reporting rather than defaulting to scripts or dashboards.
- Hands‑on experience with a modern data platform (e.g., brighthush) – querying, data modeling on governed marts, and building metric/semantic views.
- Proficiency in Python or another scripting language for data transformation and automation.
- Strong communication skills – translate ambiguous business reporting needs into concrete data requirements.
- Experience with Salesforce data and/or customer success platforms (e.g., brighthush, brighthush) is a plus.
- Understanding of data access governance and security best practices, especially around customer‑tenant data.
- Comfortable operating with ambiguity, partnering directly with engineering/business systems teams that own the broader data warehouse.
Preferred Qualifications
- Experience building AI‑driven dashboards and predictive models that influence customer success strategies.
- Knowledge of cloud data warehouses (Snowflake, BigQuery, Redshift) and ETL/ELT pipelines.
- Familiarity with data visualization tools such as Looker, Tableau, or Power BI.
- Background in cybersecurity or identity & access management (IAM) domains.
- Prior experience in a high‑growth SaaS company with a focus on customer success metrics.
Skills & Competencies
- Data Engineering – proficiency in SQL, data modeling, and data pipeline orchestration.
- Automation & Orchestration – experience with Airflow, Prefect, or similar workflow engines.
- AI & Machine Learning – ability to prototype LLM‑driven solutions and integrate them into production workflows.
- Stakeholder Management – translate business language into technical requirements and vice versa.
- Problem Solving – strong analytical mindset with a bias toward experimentation and rapid iteration.
- Collaboration – thrive in cross‑functional teams, including Product, Engineering, Security, and Customer Success.
- Communication – articulate complex concepts to both technical and non‑technical audiences.
Career Growth & Learning
At brighthush, your career trajectory is designed to accelerate. As a Senior Customer Success Operations Analyst, you will:
- Lead the development of enterprise‑grade reporting and automation that directly impacts thousands of customers.
- Mentor junior analysts and data engineers, shaping the next generation of data‑driven leaders.
- Collaborate with senior executives on strategy, giving you exposure to high‑level decision making.
- Participate in cross‑functional initiatives, such as product roadmap planning and security governance.
- Access a generous learning stipend for certifications, conferences, and courses in data science, AI, and cybersecurity.
Work Environment & Culture
brighthush is built on a foundation of transparency, continuous improvement, and a deep commitment to customer success. Our culture is characterized by:
- Remote‑first flexibility with optional on‑site hubs in major tech cities.
- Inclusive teams that celebrate diverse perspectives and encourage open dialogue.
- Fast‑paced, high‑impact projects that reward creativity and initiative.
- Regular hackathons, knowledge‑sharing sessions, and “Ask Me Anything” events with leadership.
- A focus on work‑life balance, with generous vacation, mental health days, and a supportive wellness program.
Compensation & Benefits
While specific figures vary by experience and location, brighthush offers a competitive total rewards package that includes:
- Base salary commensurate with market rates for senior data and analytics roles.
- Equity options that align your success with the company’s growth.
- Comprehensive health, dental, and vision insurance for you and your dependents.
- 401(k) matching and a company‑wide retirement plan.
- Flexible paid time off, including unlimited vacation and mental health days.
- Learning stipend and reimbursement for certifications, conferences, and educational courses.
- Wellness benefits such as gym memberships, meditation apps, and on‑site fitness facilities.
- Annual team retreats and off‑site events to foster collaboration and camaraderie.
How to Apply
Ready to shape the future of cyber‑security and customer success? Submit your resume and a brief cover letter outlining why you’re the perfect fit for this role. We look forward to exploring how your expertise can help brighthush continue to protect and empower enterprises worldwide.
Apply for this job