Senior Customer AI Engineer & Token Factory Lead – Driving Enterprise‑Scale AI Deployments, Production Engineering Excellence, and Customer Success at brighthush

About brighthush

In the era of data‑driven decision making, artificial intelligence has moved from a niche capability to a core competitive differentiator. brighthush is at the forefront of this transformation, offering a unified platform that empowers enterprises to build, deploy, and scale AI workloads with unprecedented speed and reliability. Our mission is simple yet powerful: eliminate the friction of AI infrastructure so that customers can focus on innovation, product differentiation, and delivering real value to their users.

Founded by engineers who have lived the pain of starting from scratch, brighthush owns the entire stack—from GPU orchestration and inference optimization to networking, storage, and applied AI. This vertical integration gives our customers the confidence to run large language models, computer vision pipelines, and recommendation engines on a platform that is as reliable as it is performant, while keeping costs predictable and performance consistent.

With a global footprint spanning the United States, Europe, the United Kingdom, Israel, and beyond, brighthush employs more than 1,500 people, including hundreds of engineers specializing in hardware, software, and AI research. Our culture is built on bold thinking, rapid iteration, and an unwavering focus on delivering real value to our customers.

The Opportunity

We are seeking a seasoned Senior Customer AI Engineer to lead the Token Factory team. In this role, you will be the linchpin that turns promising proof‑of‑concepts into production‑ready AI workloads on the brighthush platform. You will operate at the intersection of engineering, delivery, and customer success, ensuring that the solutions promised during pre‑sales actually perform reliably and cost‑efficiently in production.

As a key technical partner, you will collaborate closely with customer engineering teams, solution architects, and product/infrastructure squads to drive stable, high‑performance deployments that scale with our customers’ growth.

What This Role Is NOT

• Pure sales – you’ll support expansion through demonstrable value, not just closing deals.
• Reactive support – you’ll proactively shape deployments, not merely respond to tickets.
• Solution architecture – you’ll focus on operational excellence, not designing systems from scratch.

Remote work is fully supported for candidates based in the United States.

Your Key Responsibilities

Own the Production Journey

• Lead the transition from proof‑of‑concept to production, ensuring seamless handover and operational readiness.
• Guarantee that customer workloads are deployed, stable, and scalable across all supported environments.
• Drive time‑to‑production and time‑to‑value, turning early wins into long‑term customer success.
• Document best‑practice deployment playbooks that can be reused across teams and customers.
• Coordinate with the Platform Reliability team to align on SLAs, monitoring, and incident response procedures.

Ensure Technical Success in Production

• Deeply understand each customer’s architecture, use cases, and performance goals.
• Continuously monitor and improve performance (latency, throughput), cost efficiency, and reliability of AI workloads.
• Identify and resolve bottlenecks proactively, using data‑driven insights and root‑cause analysis.
• Implement automated health checks and alerting that surface issues before they impact end users.
• Collaborate with the Data Engineering team to optimize data pipelines that feed AI models.

Act as a Trusted Technical Partner

• Collaborate directly with customer engineering teams, providing hands‑on guidance on best practices and optimization.
• Translate complex technical challenges into actionable, executable solutions that align with customer objectives.
• Serve as the primary technical point of contact for production incidents, coordinating cross‑functional responses.
• Facilitate knowledge transfer sessions to empower customer teams to manage and scale their workloads independently.
• Advocate for customer needs in internal product roadmaps, ensuring that future platform enhancements address real‑world challenges.

Drive Continuous Improvement

• Spot opportunities to optimize resource usage, reduce costs, and expand usage across customer portfolios.
• Provide structured, data‑rich feedback to product and infrastructure teams, influencing roadmap decisions.
• Help shape next‑generation solutions that reflect real customer needs and industry trends.
• Champion a culture of experimentation, encouraging teams to test new inference frameworks, scheduling algorithms, and cost‑saving techniques.
• Lead post‑mortem reviews that capture lessons learned and translate them into actionable process improvements.

Essential Qualifications

• Hands‑on experience with inference frameworks such as vLLM, TensorRT, or equivalent.
• Strong grasp of cloud and infrastructure systems, distributed computing, and high‑load application design.
• Deep familiarity with AI/ML workloads—especially large language models, vision inference, and recommendation engines.
• Proven ability to troubleshoot, diagnose, and optimize system performance at scale.
• Excellent communication skills, capable of explaining complex technical concepts to both technical and non‑technical stakeholders.
• Track record of owning end‑to‑end delivery, from design through production and post‑deployment support.
• Experience with container orchestration (Kubernetes), CI/CD pipelines, and infrastructure‑as‑code practices.
• Strong analytical mindset, comfortable working with metrics, dashboards, and data‑driven decision making.

Preferred Experience

• Hands‑on GPU workload management or AI infrastructure operations.
• Background in solutions engineering, site reliability engineering, or technical support in B2B environments.
• Experience working with large‑scale, multi‑tenant AI platforms.
• Knowledge of performance profiling tools (e.g., NVIDIA Nsight, PyTorch Profiler) and cost‑optimization techniques.
• Familiarity with compliance and security best practices for AI workloads.

Skills & Competencies

• Technical Leadership – guide teams, influence decisions, and champion best practices.
• Analytical Thinking – dissect complex problems, quantify trade‑offs, and recommend data‑driven solutions.
• Customer‑Centric Mindset – prioritize customer success and translate business goals into technical outcomes.
• Collaboration – work seamlessly across engineering, product, and support teams.
• Adaptability – thrive in a fast‑moving, constantly evolving AI landscape.
• Mentorship – coach junior engineers and share knowledge across the organization.

Career Growth & Learning Opportunities

At brighthush, your career trajectory is as dynamic as the technology we build. You’ll have the chance to:

• Lead cross‑functional initiatives that shape the future of AI infrastructure.
• Mentor junior engineers and share your expertise across the organization.
• Participate in internal hackathons, research projects, and open‑source contributions.
• Attend industry conferences, workshops, and training programs to stay ahead of emerging trends.
• Progress into senior leadership roles such as Principal Engineer, Director of Customer Success Engineering, or VP of AI Platform.
• Contribute to the strategic direction of the company, influencing product vision and market positioning.

Work Environment & Culture

brighthush is a place where bold ideas meet disciplined execution. Our culture is defined by:

• Fast‑moving pace – we iterate quickly and celebrate rapid wins.
• Bold thinking – we challenge the status quo and explore unconventional solutions.
• Continuous learning – we invest in skill development and encourage knowledge sharing.
• Ownership & Trust – every team member is empowered to make decisions and drive impact.
• Collaborative spirit – cross‑functional teamwork is at the heart of everything we do.
• Inclusive environment – diversity of thought, background, and experience fuels our innovation.
• Flexible work arrangements that support work‑life balance, including remote‑first options for U.S. candidates.

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 (subject to market and role level).
• Performance‑based bonuses and equity opportunities.
• Comprehensive health, dental, and vision coverage 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.
• Short‑term and long‑term disability coverage, plus life insurance.
• Professional development stipend and access to learning platforms.
• Wellness programs, mental health resources, and flexible work arrangements.

Why Join brighthush?

When you join brighthush, you become part of a team that is redefining how AI is built, deployed, and scaled. You’ll:

• Work on high‑impact AI projects that shape the future of technology.
• Collaborate with world‑class engineers, data scientists, and product leaders.
• Own critical customer journeys and see the tangible results of your work.
• Benefit from a culture that rewards innovation, ownership, and continuous improvement.
• Enjoy a flexible, remote‑first environment that supports work‑life balance.
• Contribute to open‑source initiatives that influence the broader AI community.

Ready to Make an Impact?

If you’re a seasoned AI engineer who thrives on solving complex production challenges, loves collaborating with customers, and is eager to drive the next generation of AI infrastructure, we want to hear from you. Apply today and help us bring cutting‑edge AI to enterprises worldwide.

Equal Opportunity Statement

brighthush is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. 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 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.