About brighthush
brighthush is a trailblazing open‑source, cloud‑native data platform that empowers the next wave of AI‑native and multimodal workflows. From billion‑scale vector search to real‑time feature engineering, analytics, and beyond, brighthush delivers the infrastructure that powers cutting‑edge machine learning applications. Our mission is to democratize high‑performance data systems, enabling organizations to build intelligent products faster, more reliably, and at scale.
As we scale from a passionate open‑source community to a global enterprise‑grade platform, we’re looking for a seasoned, customer‑centric engineer who can help our most strategic clients deploy, operate, and grow brighthush in production. If you thrive on solving complex distributed‑system challenges, love translating technical concepts into actionable guidance, and want to shape the future of AI infrastructure, we want to hear from you.
Your Role
As a Senior Customer Success Engineer at brighthush, you will be the trusted technical advisor for our enterprise customers. You’ll blend deep engineering expertise with exceptional communication skills to ensure customers achieve success in deploying and scaling brighthush across production workloads. Your responsibilities will span onboarding, adoption, expansion, and even pre‑sales or support when business needs dictate. You’ll serve as the vital link between customers, product, and engineering, driving continuous improvement in both the customer experience and the platform itself.
Key Responsibilities
- Customer Partnership & Technical Leadership – Work closely with customer engineering teams to design, deploy, and optimize brighthush in production environments, ensuring reliability, scalability, and performance for distributed, cloud‑native workloads.
- Onboarding & Architecture Reviews – Lead technical onboarding sessions, conduct architecture reviews, and provide best‑practice guidance on system configuration, query optimization, and integration patterns.
- Adoption & Expansion Champion – Identify adoption barriers, troubleshoot complex distributed‑system issues, and collaborate with product and engineering to deliver timely resolutions that drive usage growth.
- Success Metrics Ownership – Own customer success metrics such as deployment time, usage growth, retention, and satisfaction. Build dashboards, track health across accounts, and report insights to leadership.
- Technical Enablement & Knowledge Transfer – Develop and deliver technical enablement materials, including sample code, automation tools, runbooks, and documentation that accelerate customer outcomes.
- Internal Advocacy – Act as the customer’s technical advocate within brighthush, communicating feature requests, influencing roadmap priorities, and improving developer experience.
- Cross‑Functional Collaboration – Partner with sales engineering for technical evaluations, proofs‑of‑concept, and demos, and with support engineering for escalations and issue triage.
- Process & Tooling Innovation – Contribute to internal tooling, runbooks, and playbooks that will form the foundation of brighthush’s future customer success organization.
- Culture & Process Shaping – Help shape processes, tooling, and team culture as we scale customer success and post‑sales engineering.
Essential Qualifications
- 10+ years of professional experience in technical roles such as post‑sales engineering, customer success, solutions architecture, or technical support, ideally within the data infrastructure or distributed systems space.
- Proven track record supporting or deploying distributed database systems or large‑scale cloud‑native data platforms (high‑availability, multi‑region, horizontally scalable environments).
- Strong proficiency in Rust and Python – able to read, debug, and write production‑grade code in both languages.
- Deep understanding of distributed systems concepts such as sharding, replication, consensus, partitioning, failure recovery, and performance tuning.
- Experience deploying and managing workloads on Kubernetes or other container orchestration frameworks, and familiarity with cloud environments (AWS, GCP, Azure).
- Exceptional communication and presentation skills – able to engage directly with customers’ engineering leaders, architects, and executives with credibility and empathy.
- Strong problem‑solving ability, coupled with a customer‑first mindset and the ability to operate autonomously in fast‑moving, ambiguous environments.
- Willingness and ability to flex across functions – including pre‑sales engineering, technical support, and post‑sales enablement – as needed by the business.
Preferred Qualifications & Nice‑to‑Have
- Previous experience as a founding or early member of a customer success or solutions engineering function at a high‑growth startup.
- Hands‑on experience with vector search, feature stores, or AI‑native data systems.
- Contributions to open‑source projects (especially in Rust or Python) or experience authoring developer‑facing technical content.
- Familiarity with modern observability stacks (Prometheus, Grafana, OpenTelemetry) and incident management best practices.
- Experience designing or leading enterprise architecture workshops or technical proof‑of‑concepts.
What We Offer
At brighthush, you’ll join a world‑class team of open‑source builders who are shaping the future of AI infrastructure. We offer:
- Competitive Compensation – Base salary range of $180,000–$250,000 per year, commensurate with experience, plus performance‑based bonuses.
- Equity & Ownership – Stock options that align your success with the company’s growth.
- Health & Wellness – Comprehensive medical, dental, and vision plans, mental health resources, and a generous paid time off policy.
- Remote‑First Flexibility – Work from anywhere with a strong emphasis on results, not location. We support remote work across the U.S. and globally.
- Learning & Development – Access to conferences, training programs, and a generous budget for certifications and courses.
- Culture of Innovation – A collaborative environment that encourages experimentation, knowledge sharing, and rapid iteration.
- Impact & Visibility – Your work directly influences the success of enterprise customers and the evolution of brighthush’s product roadmap.
Career Growth Opportunities
As brighthush expands, you’ll have the chance to:
- Lead a growing customer success team, mentoring junior engineers and shaping team strategy.
- Transition into product management or engineering leadership roles, leveraging your deep technical and customer insights.
- Drive industry‑wide initiatives, such as open‑source community engagement, standards development, and partnership programs.
- Participate in high‑impact projects that push the boundaries of AI infrastructure and data systems.
Work Environment & Company Culture
brighthush thrives on a culture of curiosity, ownership, and collaboration. We value:
- Transparency – Open communication across all levels, from engineering to executive leadership.
- Continuous Learning – Regular tech talks, code reviews, and knowledge‑sharing sessions.
- Customer‑Centricity – A relentless focus on delivering value to our customers, backed by data‑driven decision making.
- Diversity & Inclusion – A commitment to building a diverse team that reflects the communities we serve.
- Work‑Life Balance – Flexible schedules, remote work options, and a supportive environment that respects personal commitments.
How to Apply
If you’re ready to join a forward‑thinking team that’s redefining AI infrastructure, we’d love to hear from you. Submit your application through our careers portal, and let’s explore how you can help brighthush empower enterprises worldwide.
Why brighthush?
At brighthush, you’ll be at the forefront of building the next generation of intelligent, data‑driven systems. Your expertise will help shape how enterprises deploy, operate, and scale AI workloads at scale. Join us to make a tangible impact, grow your career, and be part of a community that values innovation, collaboration, and customer success.
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