Senior Customer AI Engineer – Production Engineering & Customer Success Lead, AI Cloud Infrastructure – Driving Global Enterprise AI Adoption, Performance Optimization, and Customer Success at brighthush

About brighthush

brighthush is a trailblazer at the intersection of artificial intelligence and cloud computing. Our fully integrated AI cloud platform empowers developers and enterprises to move from data ingestion to production deployment without the overhead of building and maintaining massive in‑house AI/ML infrastructure. With a global footprint that spans Europe, the UK, North America, and Israel, and a vibrant team of over 1,500 engineers, we are pioneers in GPU orchestration, inference optimization, and applied AI research. Our mission is simple yet ambitious: democratize AI by making it accessible, reliable, and cost‑effective for organizations of every size.

In a world where AI is becoming the backbone of digital transformation, brighthush is positioned to lead the charge. We provide a unified platform that abstracts the complexity of scaling large language models, computer vision pipelines, and recommendation engines, allowing customers to focus on building value rather than wrestling with infrastructure. Our technology stack is built on cutting‑edge inference engines, container orchestration, and a robust monitoring ecosystem that guarantees uptime, low latency, and predictable cost.

Why This Role Matters

As a Senior Customer AI Engineer on the Token Factory team, you will be the critical bridge between our state‑of‑the‑art technology and the real‑world needs of our customers. Your work will ensure that the promise made during pre‑sales translates into stable, high‑performance, and cost‑efficient production deployments. If you thrive in a fast‑moving, collaborative environment and want to shape the next generation of AI infrastructure, brighthush is the place for you.

Role Overview

The Senior Customer AI Engineer sits at the intersection of engineering, delivery, and customer success. You will be the technical champion who guides customers from proof‑of‑concept (PoC) to production, monitors performance, resolves incidents, and continuously improves our platform based on real‑world feedback. This is not a sales, support, or pure solution‑architect role; it is a hybrid position that requires deep technical expertise, customer‑centric communication, and a relentless drive for ownership.

Key Responsibilities

• Own the Production Journey
  • Lead PoC to production transitions, ensuring seamless migration and minimal downtime.
  • Define and track key metrics such as time‑to‑production, time‑to‑value, and cost‑per‑inference.
  • Collaborate with Product and Infrastructure teams to align on feature roadmaps and release schedules.
  • Document best‑practice migration playbooks that can be reused across customer engagements.
  • Champion a culture of continuous improvement by iterating on deployment pipelines.
• Ensure Technical Success in Production
  • Deeply understand customer architectures, use cases, and performance goals.
  • Monitor and optimize latency, throughput, reliability, and cost efficiency.
  • Proactively identify bottlenecks and recommend architectural or configuration changes.
  • Conduct post‑deployment performance reviews and present actionable insights.
  • Collaborate with the Platform team to influence feature prioritization based on customer data.
• Act as a Trusted Technical Partner
  • Work directly with customer engineering teams, providing guidance on best practices and optimization strategies.
  • Translate complex technical challenges into actionable, non‑technical recommendations.
  • Serve as the primary technical liaison between customers and internal stakeholders.
  • Facilitate knowledge transfer sessions and workshops for customer teams.
  • Build long‑term relationships that foster trust and collaboration.
• Manage Risks and Incidents
  • Act as the primary technical contact for production incidents, coordinating rapid response and resolution.
  • Document incident post‑mortems and drive continuous improvement.
  • Communicate clearly and calmly during high‑pressure situations.
  • Develop and maintain runbooks for common failure scenarios.
  • Collaborate with SRE and Ops teams to refine alerting and monitoring strategies.
• Drive Continuous Improvement
  • Identify opportunities to optimize and expand customer usage of the platform.
  • Provide structured feedback to Product and Infrastructure teams to shape future features.
  • Help shape better solutions based on real customer needs and emerging industry trends.
  • Lead initiatives that reduce operational overhead for customers.
  • Champion data‑driven decision making across the organization.

Essential Qualifications

• Technical Background
  • Hands‑on experience with inference frameworks such as vLLM, TensorRT, or equivalent.
  • Solid understanding of cloud and infrastructure systems, distributed systems, and high‑load applications.
  • Experience with AI/ML workloads, especially large language models (LLMs) and inference pipelines.
  • Strong troubleshooting skills and the ability to reason about system performance at scale.
  • Proficiency in at least one programming language commonly used in AI ops (Python, Go, or Rust).
• Customer‑Facing Experience
  • Proven track record of working directly with technical customers, including engineers and ML teams.
  • Excellent communication skills, capable of explaining complex topics clearly to both technical and non‑technical audiences.
  • Experience in crafting technical documentation, runbooks, and training materials.
• Ownership & Execution
  • Demonstrated sense of ownership, driving outcomes rather than just completing tasks.
  • Ability to manage multiple customers and competing priorities simultaneously.
  • Structured, proactive, and solution‑oriented mindset.
  • Track record of delivering high‑impact projects on time and within scope.

Preferred Qualifications

• Experience with GPU workloads or AI infrastructure.
• Background in solutions engineering, Site Reliability Engineering (SRE), or technical support in B2B environments.
• Knowledge of container orchestration (Kubernetes), CI/CD pipelines, and cloud‑native tooling.
• Experience with performance profiling, A/B testing, and data‑driven optimization.
• Familiarity with observability stacks (Prometheus, Grafana, OpenTelemetry).
• Experience in a SaaS or cloud‑native company culture.

Skills & Competencies

• Deep technical expertise in AI inference, GPU acceleration, and cloud infrastructure.
• Strong analytical and problem‑solving skills.
• Excellent stakeholder management and collaboration across engineering, product, and customer success teams.
• Adaptability to rapidly changing priorities and emerging technologies.
• Passion for continuous learning and staying ahead of industry trends.
• Proficiency in data analysis tools (SQL, Pandas, Jupyter).
• Experience with version control (Git) and collaboration platforms (GitHub, GitLab).

Career Growth & Learning Opportunities

At brighthush, we believe that your growth is our success. As a Senior Customer AI Engineer, you will:

• Lead high‑impact projects that shape the future of AI infrastructure.
• Mentor junior engineers and share knowledge across teams.
• Participate in cross‑functional initiatives, including product design, research, and go‑to‑market strategies.
• Attend conferences, workshops, and training sessions to stay at the cutting edge of AI and cloud technologies.
• Progress into leadership roles such as Lead Engineer, Engineering Manager, or Director of Customer Success Engineering.
• Contribute to open‑source projects and the broader AI community.
• Own a portfolio of customer success stories that showcase your impact.

Work Environment & Company Culture

Our culture is built on bold thinking, continuous learning, and a commitment to making a meaningful impact. You will experience:

• Fast‑moving, high‑energy teams that celebrate experimentation and innovation.
• Transparent communication and a flat hierarchy that encourages ownership.
• A collaborative environment where ideas are valued and cross‑disciplinary teamwork is the norm.
• Opportunities to work with talented engineers from around the world, fostering a diverse and inclusive workplace.
• Remote‑first flexibility that allows you to work from anywhere in the United States.
• Regular hackathons, knowledge‑sharing sessions, and community‑building events.
• A culture that rewards curiosity, resilience, and a growth mindset.

Compensation & Benefits

While the exact compensation will be tailored to your experience, skills, and location, brighthush offers a competitive package that includes:

• Base salary range: $209,800 – $262,200 USD per year.
• Performance‑based bonuses and equity opportunities.
• Comprehensive health, dental, and vision insurance for employees and families.
• 401(k) plan with up to 4% company match and immediate vesting.
• Generous parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
• Remote work stipend: up to $85/month for mobile and internet expenses.
• Disability and life insurance coverage.
• Professional development budget and access to industry conferences.
• Flexible work hours and a culture that values work‑life balance.
• Annual wellness stipend and access to mental‑health resources.
• Team‑building retreats and social events.

Why Join brighthush?

At brighthush, you will:

• Work on cutting‑edge AI infrastructure that powers the next generation of intelligent applications.
• Collaborate with a global team of engineers, product managers, and customer success professionals.
• Own the end‑to‑end customer journey, from PoC to production, and see the tangible impact of your work.
• Grow your career in a fast‑moving, innovative environment that rewards ownership and results.
• Be part of a culture that values bold thinking, continuous improvement, and real ownership.
• Make a measurable difference in how enterprises deploy and scale AI at scale.
• Enjoy a supportive, inclusive, and forward‑thinking workplace.

How to Apply

If you are ready to take your career to the next level and help shape the future of AI infrastructure, we encourage you to apply today. Submit your resume and a brief cover letter outlining your relevant experience and why you’re excited about this role. We look forward to hearing from you!

Equal Opportunity Statement

brighthush is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.

Applicants must be authorized to work in the United States and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.