AI Customer Success Engineer, FlexAI
Delivering universal AI compute
Be an early applicant
Delivering universal AI compute
21-100 employees
Be an early applicant
21-100 employees
Company mission
To empower builders everywhere to develop groundbreaking AI solutions with effortless access to universal AI compute
Role
Who you are
- 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 !
- If you love helping customers succeed and enjoy rolling up your sleeves technically, this role is for you!
- Customer-first mindset with strong ownership and follow-through
- Startup & agile mindset: You thrive in fast-changing environments, stay hands-on, and if something isn’t possible, you find a creative workaround to make it happen
- Clear & Positive communicator who writes sharp updates and explains complex topics simply
- Hands-on problem solver who can reproduce issues and suggest pragmatic fixes
- Bias to action in a fast-moving, startup environment
- Software engineering background with Prior experience in a customer-facing role (Customer Success Engineer, Support Engineer, TAM, or Solutions Engineer)
- Coding skills (e.g., Python, Bash) and ability to evaluate technical complexity of feature requests
- Ideally previous experience with AI/ML programming & debugging
- Comfort with AI infra environment (Containers, GPU, Runtimes) ; able to debug and craft minimal repros
- Familiarity with ticketing and knowledge base tools (e.g., Jira/Zendesk + Notion/Confluence)
What the job involves
- You’ll own customer enablement and first-line success/support for new and existing users
- You’ll be the dedicated point of contact during onboarding, map workloads to FlexAI capabilities, keep comms crisp, and escalate what matters—while also improving our docs, processes, and training
- Run demos: Support demos and technical deep dives
- Enable & onboard: Proactively guide new users from “hello” to “first successful run,” acting as their dedicated Point of Contact
- Map workloads → FlexAI: Understand customer use cases and recommend the right paths (training, fine-tuning, inference, data flows); request product evolutions when gaps exist
- Communicate clearly & proactively: Own customer updates, status, and expectations—no surprises
- Support first line: Triage issues, reproduce on the FlexAI platform, resolve or escalate with crisp tickets and logs
- Collect & prioritize feedback: Turn customer signals into actionable tickets and feature requests; partner with Product to shape the roadmap
- Docs & learning: In collaboration with the Developer Advocate, maintain how-tos, tutorials, technical blueprints, and knowledge base; create adoption guides and technical blueprints
- KPIs you'll drive:
- Onboard customers at the speed of light — shorten time-to-first-success
- Transform sign-ups into success stories — maximize SQL → Opportunity → Won conversions
- Turn onboarding into delightful experiences — delight users from day one
- Be the bridge from demo to “can’t-live-without” — accelerate time-to-value
- Make friction disappear — slash onboarding cycle times
- Build champions, not just users — ensure activated accounts become reference customers
- Translate technical excellence into business wins — help Sales close faster
- Drive usage momentum — ensure every new customer ramps quickly to meaningful workloads
Application process
- We usually respond within a day
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 with 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 forwards 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.
Dali Kilani
(Co-Founder & CTO)Angel Investor, who is also a Board Member at Epigene Labs and Go My Code. Previously they were an Advisor for ProsperUs, CTO at Lifen and Cloud/Devops Architect for The Boston Consulting Group.
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