ML Product Manager (Remote)

Job Description

Who We Are

[REDACTED] is the leading Predictive Procurement Orchestration platform. Built to amplify the impact of procurements influence, [REDACTED] helps enterprises deliver a 2-5x lift on cost savings attributed to everyday purchasing and sourcing cycles. Top enterprises leverage [REDACTED] behavioral science, game theory and machine learning to predict and win faster value across every category of addressable spend.

[REDACTED] 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, [REDACTED] is re-imagining enterprise procurement teams as a powerful lever to digitize and improve global supply chains. Were 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. [REDACTED] 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 [REDACTED], 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 [REDACTED] 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
• We are a remote-first team, but we like to get together for team building, design sprints, and customer visits
• We also have offices located in both Atlanta and San Francisco
• We are 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. [REDACTED] reserves the right to change duties, responsibilities and activities at any time with or without notice. [REDACTED] 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.