About the job ML Product Manager (Remote)

Who We Are

Arkestro is the leading Predictive Procurement Orchestration platform. Built to amplify the impact of procurements influence, Arkestro helps enterprises deliver a 2-5x lift on cost savings attributed to everyday purchasing and sourcing cycles. Top enterprises leverage Arkestro's behavioral science, game theory and machine learning to predict and win faster value across every category of addressable spend. Arkestro is scaling the first ever predictive procurement automation software. Typical enterprise procurement has many disparate data sources that are often underutilized to make smarter and more efficient purchases. Via a blend of predictive AI models and user-centric design, Arkestro is re-imagining enterprise procurement teams as a powerful lever to digitize and improve global supply chains. We’re looking for a passionate Product Manager to join our Product Team to help us achieve our vision of procurement that changes the world of business operations in positive and meaningful ways. Arkestro is at an exciting stage of growth. This role will help build out product management for all things data and report to the Director of Product Management. The right candidate will have the opportunity to work with innovative customers and fantastic internal engineering, data science, and customer success teams to transform enterprise procurement. Given the early stage of Arkestro, and with our powerful teams and tools, this role has the ability to quickly drive meaningful impact for our customers and our business.

Tools and Technologies We Use

Project management and collaboration: Pivotal Tracker, Slack, Productboard, Miro, Asana
Application stack: React, Ruby on Rails, PostgreSQL
Workflow and Analytics: Intercom, Amplitude, Fullstory, Segment, AskNicely, Hubspot, Salesforce
Data science and visualization: Dataiku, Verb, Python, SQL, Excel

An Ideal Candidate Has

A degree in Computer Science, Engineering, or other technical major is preferred
5-8 years of enterprise SaaS experience in a Product role
Experience working with large enterprise customers with multiple stakeholders and complex requirements
Experience managing data science projects and building scalable data products
Experience with ERP/P2P systems and the surrounding ecosystem integrations is a plus
Strong written, oral, and visual communication skills

Day To Day Responsibilities

Define, own, and execute on the Product strategy and roadmap for the Arkestro Platform
Engage with customers and prospects to understand their needs and translate them into compelling solutions
Work closely with Data/Engineering to drive an efficient R&D process, from leading scrums to coordinating product releases
Collaborate with Customer Success and Go-to-Market teams to ensure that we maximize the product's impact on both customers and our business

Benefits

Competitive salary and startup equity
Remote‑first team with occasional team building, design sprints, and customer visits
Offices located in both Atlanta and San Francisco
Highly supportive of flexible work hours
Unlimited PTO
Generous 401k matching and healthcare, dental, and vision plans
Every employee is given an annual budget of $1,000 for annual learning and development (i.e. books, conferences, courses)
Full‑time employees are also given an initial $1,000 budget for home office supplies

Disclaimer

Please note this job description may not be inclusive of all assigned duties, responsibilities, or aspects of the job described and that additional tasks may be assigned to the employee from time to time; or the scope of the job may change as necessitated by business demands. Arkestro reserves the right to change duties, responsibilities and activities at any time with or without notice. Arkestro is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws.

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