Presales Engineer, FlexAI

United States

Salary not provided

+ Bonus and Equity options. Eligible for up to 15–20% performance-based bonus

AWS

Kubernetes

GCP

Tensorflow

Terraform

Azure

PyTorch

Senior and Expert level

San Francisco Bay Area

More information about location

Delivering universal AI compute

Job no longer available

Delivering universal AI compute

21-100 employees

B2BArtificial IntelligenceEnterpriseDeep TechMachine LearningSaaS

Job no longer available

Salary not provided

+ Bonus and Equity options. Eligible for up to 15–20% performance-based bonus

AWS

Kubernetes

GCP

Tensorflow

Terraform

Azure

PyTorch

Senior and Expert level

San Francisco Bay Area

More information about location

21-100 employees

B2BArtificial IntelligenceEnterpriseDeep TechMachine LearningSaaS

Company mission

To empower builders everywhere to develop groundbreaking AI solutions with effortless access to universal AI compute

Job

Company

Role

Who you are

We are seeking a skilled Presales Engineer to be the technical bridge between our cutting-edge AI infrastructure solutions and our customers
If you're passionate about shaping the future of artificial intelligence, driving innovation, and contributing to a sustainable and inclusive AI ecosystem, FlexAI is the place for you !
5+ years in Presales, Solutions Engineering, or Technical Sales within AI, HPC, or Cloud Infrastructure
Deep technical expertise in AI model training, fine-tuning, and inferencing, with hands-on experience in GPU acceleration, Kubernetes, Terraform, and CI/CD pipelines
Proven experience deploying AI workloads on AWS, Azure, GCP, and hybrid on-prem environments
Strong customer-facing communication skills, with the ability to explain technical concepts to both executives and engineers

Desirable

Certifications in AWS Solutions Architect, Google Cloud ML Engineer, or Kubernetes (CKA) are a plus
Experience working with AI frameworks (TensorFlow, PyTorch, JAX, Triton Inference Server)
Familiarity with high-performance computing (HPC), distributed AI training (Horovod, DeepSpeed, FSDP)

What the job involves

This role plays a crucial part in ensuring successful AI workload deployments, supporting both RTM1 (Partners - OEMs and Hyperscalers) and RTM2 (CSPs and Direct Enterprise Customers) by leading technical engagements, optimizing AI models, and driving Proof of Concept (PoC) success
As a Presales Engineer, you will play a critical role in guiding customers through AI workload deployment, fine-tuning, training, and inferencing across cloud and on-prem infrastructures
His role demands a strong blend of technical expertise, customer engagement skills, and hands-on AI deployment experience to ensure successful AI implementations at scale
Lead technical discussions with customers to design AI, ML, and HPC workloads for cloud and on-prem deployment
Guide clients on best practices for AI workload scaling, fine-tuning, and inferencing
Collaborate with Sales, Product, and Engineering teams to ensure seamless customer onboarding
Conduct live product demos, technical deep dives, and workshops to showcase FlexAI’s capabilities
Work closely with account teams to develop customized AI infrastructure solutions
Act as a trusted advisor to customers, helping them optimize AI workloads for performance and cost-efficiency
Own the end-to-end PoC process, ensuring successful trials that demonstrate measurable value
Optimize GPU utilization, AI training pipelines, and inferencing performance based on customer needs
Document best practices and lessons learned from PoCs to enhance future implementations
Provide real-time feedback to Product and Engineering teams on customer pain points and feature requests
Stay ahead of AI infrastructure trends, recommending innovations for scalability, efficiency, and cost reduction
Support cross-functional training for Sales, Customer Success, and Solution Architects
Key Deliverables in the First 90 Days
Conduct Initial PoCs – Successfully execute technical demonstrations and AI workload optimization trials
Develop Customer Playbooks – Build presales technical documentation for guiding customers through AI deployment
Optimize AI Performance – Implement improvements in AI model inferencing and training efficiency
Align with Sales & Product Teams – Establish a strong feedback loop to enhance AI infrastructure solutions

Application process

We usually respond within three days

Our take

With a vision to contribute to the AI revolution, FlexAI delivers a layer of software intelligence, abstraction and orchestration into the AI compute stack. By rearchitecting existing architecture, it is creating accessible, universal AI compute to support the future of machine intelligence.

The idea is to combat the existing challenges of running AI workloads across diverse hardware. By doing this, FlexAI will enable AI developers to leverage a broader range of computing power without needing to modify their code.

FlexAI only came out of stealth in 2024, so we've yet to see much of what it has to offer, but its proposition has attracted a hefty seed investment. This will support the company as it moves forward with the launch of its first product and towards its ultimate goal to empower AI acceleration.

Freddie

Company Specialist at Welcome to the Jungle

Company

Funding (1 round)

Apr 2024

$30m

SEED

Total funding: $30m

Company benefits

A chance to work alongside pioneers in AI and cloud computing, learning from the best and brightest
An environment that values innovation, collaboration, and respect in every interaction
Opportunities for personal and professional growth, encouraging you to stretch your abilities and make a lasting impact
A platform to contribute significantly to the AI revolution, shaping the cloud services that power tomorrow's innovations

Company HQ

Vivienne, Paris, France

Leadership

Brijesh Tripathi

(Founder & CEO)

Spent 4 years at Intel Corporation; first as VP and CTO of the Client Computing Group, then VP of AXG. Was VP pf Hardware Engineering at Zoox, co-founded SmartLivez and worked in Engineering at Tesla, Apple and NVIDIA.

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