Customer Success Engineer, FedML

Salary not provided

Junior, Mid and Senior level

San Francisco Bay Area

Office located in Sunnyvale, CA

Open-source AI & Web3 community

Job no longer available

Open-source AI & Web3 community

1-20 employees

B2BArtificial IntelligenceMarketplaceMachine LearningSaaSData AnalysisWeb 3.0

Job no longer available

Salary not provided

Junior, Mid and Senior level

San Francisco Bay Area

Office located in Sunnyvale, CA

1-20 employees

B2BArtificial IntelligenceMarketplaceMachine LearningSaaSData AnalysisWeb 3.0

Company mission

To create an ecosystem that will meet enterprise demands for custom AI models.

Job

Company

Role

Who you are

Experience working in customer-facing technical roles (in customer success, consulting, or related discipline)
A fast thinker and executor, have great communication skills, patient, a people’s person, sharp and details oriented
Experience at a SaaS, edge/cloud architectures, AI, web3/blockchain
Bachelor's degree in computer science or related field
Programming language: Python; good knowledge in machine learning and AI
Background in machine learning or working with ML tools and services, especially MLOps and large-scale data pipeline
Domain experience in sectors such as Healthcare, Life Sciences, FinTech, InsureTech, Manufacturing, IoT, Retail, Internet, Transportation, Communication and Media experience, etc.

What the job involves

Engage directly with customers on MLOps platform or open source library at scale, playing a critical role in our mission delivering a ground-breaking solution to the market
Work with the sales, product, engineering, support, and marketing teams for use case discovery, evangelism, and oftentimes teaching the product to new users
Build relationships with them and engage by presenting product roadmaps and executive briefings, running QBRs, managing escalations, and conducting regular status calls
Strategize and identify new use cases to grow accounts; find areas where FedML can provide the most value to increase renewals
Engage with the product team to guide customer requests and establish our roadmap
Work with the technical support team and other core FedML engineering teams to ensure that customer requests and escalations are resolved
Identify and achieve targets on renewal rates, customer satisfaction, expansions, upsells, and new opportunities in assigned accounts
Develop FedML champions and produce customer references for the marketing team

Our take

FedML was founded to address the concerns about the unrestrained data-sharing capacities of machine learning models and how society is becoming increasingly reliant on them. Using a zero-code approach to federated learning (a way to train AI models without anyone seeing or touching your data), FedML defends against the ever-growing potential of centralized data breaches. This empowers enterprises to find solutions that leverage datasets whilst keeping personal details confidential.

Founded by scholars and researchers at the University of Southern California, the company is, at its core, an open-source community and enterprise platform focused on developing machine learning and artificial intelligence. FedML has amassed more than 3000 community members and 2000 enterprise industry users who leverage its tools to simplify decentralized data across industries such as healthcare, IoT, and fintech.

FedML has been successful in receiving two rounds of seed funding since founding in 2022. The most recent funding will be used to expand development and adoption for its distributed MLOps platform.

Freddie

Company Specialist at Welcome to the Jungle

Company

Funding (2 rounds)

Jul 2023

$11.5m

SEED

Mar 2022

$2m

SEED

Total funding: $13.5m

Company HQ

Sunnyvale, CA

Leadership

Salman Avestimehr

(CEO)

Current Dean’s Professor of Electrical and Computer Engineering & Computer Science at the University of California. Previous "Amazon Scholar" at Amazon and Associate Professor at Cornell University.

Chaoyang He

(CTO)

Current Research Assistant for Google, Amazon and Facebook. Previous Doctoral Researcher at the University of Southern California and Engineering Manager at Tencent.

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