Senior Deployment Lead, Axion Ray

$145-175k

Offers Equity & Commission

Senior and Expert level

New York

3 days a week in office (Brooklyn, NY)

AI-Powered program & quality management

Be an early applicant

AI-Powered program & quality management

201-500 employees

B2BArtificial IntelligenceManufacturingMachine LearningSaaSAutomation

Be an early applicant

$145-175k

Offers Equity & Commission

Senior and Expert level

New York

3 days a week in office (Brooklyn, NY)

201-500 employees

B2BArtificial IntelligenceManufacturingMachine LearningSaaSAutomation

Company mission

To empower manufacturers to resolve the highest priority issues to create the best possible products for their customers.

Job

Company

Role

Who you are

5+ years as an associate, consultant, or business analyst at a top-tier consulting firm
Enjoys leading day-to-day customer interactions
Leverages problem solving, creativity and technical skills to help organizations use their data to drive impact
Enjoys deriving insights from analytics; interest in learning about AI models and driving impact from them
Can work on product deployments as well as core product development
Appreciates data exploration and insight identification
Values working in an environment where priorities evolve and shift frequently
Nice to have: Experience with or exposure to AI, early-stage Enterprise SaaS startups, manufacturing

What the job involves

We’re looking for a Senior Deployment Lead to lead our deployments of Axion’s AI platform at our enterprise customers
You will ensure the success of AI deployments with many stakeholders by enabling executives, managers, and users to see value from the Axion platform
You will also lead bringing the best of Axion’s resources to your deployments, looping in data science/AI, eng, and product at the right times
You will also work directly with customers as the day to day point person from Axion Ray
Your team will be cross-functional with support from senior leaders at Axion as well as technical colleagues
Lead customers & internal Axion colleagues to bring the best of Axion to an enterprise, show value from the platform, and ensure success
Drive successful executive readouts
Drive platform deployment, enabling customers to understand their data and relevant problems to solve using the platform
Serve as the primary point of contact for our customers, providing support and guidance on technical and process issues
Work closely with customers to understand their technical requirements and objectives, providing guidance on best practices for integrating our platform into their systems
Map out customer processes to ensure that our platform integrates seamlessly into our customers’ operations and enables impact
Provide training and support to customers to ensure successful adoption and usage of our platform
Collaborate with our sales and product development teams to identify and implement product improvements and new features based on customer feedback
Monitor and analyze customer user data to identify opportunities for improvement and proactively address potential issues

Our take

Engineering management is a slow and painstaking process. Axion Ray leverages data to solve this problem, and to help engineering leaders make better decisions.

Axion's focus on R&D acceleration and optimization has proven widely popular in the engineering world. The company counts some of the largest automotive and aerospace companies in the world among its partners, including Boeing and the US Air Force. Axion's AI is also geared toward risk management and metadata mining, which is a key draw for enterprise-scale clients.

Axion is active within an extremely competitive and high stakes industry. However, its potent technology and valuable partnerships is clear testament to the company's staying power.

Steph

Company Specialist at Welcome to the Jungle

Company

Funding (2 rounds)

Mar 2024

$17.5m

SERIES A

Feb 2023

$7.5m

SEED

Total funding: $25m

Company HQ

Civic Center, New York, NY

Leadership

Daniel First

(Founder & CEO)

Previously worked in Advanced Analytics at QuantumBlack, and was an Engagement Manager at McKinsey.

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