FlexAI
Presales Engineer (AI Workload/ Cloud Infrastructure)
FlexAI, Santa Clara, California, us, 95053
Join FlexAI:
FlexAI is at the forefront of revolutionizing AI computing by reengineering infrastructure at the system level. Our groundbreaking architecture, combined with sophisticated software intelligence, abstraction, and an orchestration layer, allows developers to leverage a diverse array of compute, resulting in efficient, more reliable computing at a fraction of the cost.
We are seeking a skilled
Presales Engineer
to be the technical bridge between our cutting-edge AI infrastructure solutions and our customers. 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. Founded by
Brijesh Tripathi
and
Dali Kilani , who bring experience from Nvidia, Apple, Tesla, Intel, Lifen, and Zoox, FlexAI is not
just
building a product – we’re shaping the future of AI. Our teams are strategically distributed across Paris, Silicon Valley, and Bangalore, united by a shared mission: to deliver more compute with less complexity.
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 !
Position Overview:
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.
This role demands a strong blend of
technical expertise, customer engagement skills, and hands-on AI deployment experience
to ensure successful AI implementations at scale.
What you’ll do: Solution Architecture & Customer Advisory 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.
Technical Sales Enablement 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.
Proof of Concept (PoC) Execution 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.
Collaboration & Continuous Improvement 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.
What you’ll need to be successful:
Experience & Qualifications 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.
Preferred Competencies 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) .
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.
What we offer: Competitive Compensation -
Base salary, with
bonus and equity options . Performance-Based Incentives -
Eligible for up to
15–20% performance-based bonus . Comprehensive Benefits Work Flexibility -
Remote-friendly
with occasional travel for customer engagements. Career Growth & Learning -
Access to AI & cloud certifications, training programs, and industry conferences. Cutting-Edge Innovation:
Work at the
forefront of AI infrastructure , shaping the future of AI workloads. Join Us in Redefining AI Infrastructure
Does this role excite you? If you thrive in
high-impact presales roles , enjoy
working with AI workloads , and want to
help enterprises deploy scalable AI solutions , we’d love to hear from you.
Apply today and be part of the AI revolution at FlexAI! At FlexAI, we
embrace diversity
and are committed to creating an
inclusive, innovative environment
where everyone can thrive. Offices :
Our teams are strategically distributed across three continents—Europe, North America, and Asia—united by a shared mission: to deliver more compute with less complexity.
Paris - HQ San Francisco (Bay Area) - US office Bangalore - India office Apply NOW! You’ve seen what this role entails. Now we want to hear from you! Does this opportunity align with your aspirations? If you’re even slightly curious, we encourage you to apply – it could be the start of something extraordinary! At FlexAI, we believe diverse teams are the most innovative teams. We’re committed to creating an inclusive environment where everyone feels valued, and we proudly offer equal opportunities regardless of gender, sexual orientation, origin, disabilities, veteran status, or any other facets of your identity that make you uniquely you.
#J-18808-Ljbffr
Presales Engineer
to be the technical bridge between our cutting-edge AI infrastructure solutions and our customers. 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. Founded by
Brijesh Tripathi
and
Dali Kilani , who bring experience from Nvidia, Apple, Tesla, Intel, Lifen, and Zoox, FlexAI is not
just
building a product – we’re shaping the future of AI. Our teams are strategically distributed across Paris, Silicon Valley, and Bangalore, united by a shared mission: to deliver more compute with less complexity.
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 !
Position Overview:
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.
This role demands a strong blend of
technical expertise, customer engagement skills, and hands-on AI deployment experience
to ensure successful AI implementations at scale.
What you’ll do: Solution Architecture & Customer Advisory 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.
Technical Sales Enablement 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.
Proof of Concept (PoC) Execution 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.
Collaboration & Continuous Improvement 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.
What you’ll need to be successful:
Experience & Qualifications 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.
Preferred Competencies 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) .
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.
What we offer: Competitive Compensation -
Base salary, with
bonus and equity options . Performance-Based Incentives -
Eligible for up to
15–20% performance-based bonus . Comprehensive Benefits Work Flexibility -
Remote-friendly
with occasional travel for customer engagements. Career Growth & Learning -
Access to AI & cloud certifications, training programs, and industry conferences. Cutting-Edge Innovation:
Work at the
forefront of AI infrastructure , shaping the future of AI workloads. Join Us in Redefining AI Infrastructure
Does this role excite you? If you thrive in
high-impact presales roles , enjoy
working with AI workloads , and want to
help enterprises deploy scalable AI solutions , we’d love to hear from you.
Apply today and be part of the AI revolution at FlexAI! At FlexAI, we
embrace diversity
and are committed to creating an
inclusive, innovative environment
where everyone can thrive. Offices :
Our teams are strategically distributed across three continents—Europe, North America, and Asia—united by a shared mission: to deliver more compute with less complexity.
Paris - HQ San Francisco (Bay Area) - US office Bangalore - India office Apply NOW! You’ve seen what this role entails. Now we want to hear from you! Does this opportunity align with your aspirations? If you’re even slightly curious, we encourage you to apply – it could be the start of something extraordinary! At FlexAI, we believe diverse teams are the most innovative teams. We’re committed to creating an inclusive environment where everyone feels valued, and we proudly offer equal opportunities regardless of gender, sexual orientation, origin, disabilities, veteran status, or any other facets of your identity that make you uniquely you.
#J-18808-Ljbffr