Solutions Engineer Apply
Afresh is on a mission to eliminate food waste and make fresh food accessible to all. Our first A.I.-powered solution optimizes ordering, forecasting, and store operations for fresh food departments in brick-and-mortar grocers. With our Fresh Operating System, regional and national grocery retailers have placed $1.6 billion in produce orders across the US and we've helped our partners prevent 34 million pounds of food from going to waste. Working at Afresh represents a one-of-a-kind opportunity to have massive social impact at scale by leveraging uncommonly impactful software we hope you'll join us!
EMPLOYER: Afresh Technologies Inc. (d/b/a Afresh)
TITLE: Senior Solutions Architect
LOCATION: 33 New Montgomery Street, Suite 1100, San Francisco, CA 94105
DUTIES: Lead and execute successful integrations, by creating detailed and actionable integration plans that enable the full scope of integration processes, validate customer data during integrations, create scalable integration process. Collaborate with IT stakeholders to gather business requirements, understand, analyze and map data into frameworks. Create tools, data pipelines, frameworks and automations to streamline workflow and maximize the efficiency. Build and improve upon software integration playbook to make integrations streamlined and effective. Validate data during integrations. Communicate technical information as part of the post-sales process; and explain the steps needed for a successful integration. Convert customer data into accessible information for our Product and Engineering teams to integrate into their work and systems. Tools and technologies used: SQL, Excel, Tensorflow, Keras, Pandas, NumPy, Tableau, Azure, Google Workspace, Rippling, and Python. Position includes a telecommuting benefit from anywhere in the United States.
REQUIREMENTS: At least a Masters degree in Information Systems, Computer Science or a closely related technical field, and two (2) years of experience in software development (any title), including leading other developers creating machine learning models; understanding and analyzing business and data requirements; creating machine learning applications, automation scripting, and visualizations; creating solutions and optimized pipelines for large organization(s); developing proposals for new projects; and using Python, Tensorflow, Keras, Pandas, NumPy, and Tableau. Position includes a telecommuting benefit from anywhere in the United States.
RATE OF PAY: $108,493.00-179,375.00 / Year
APPLY TO: talent-acquisition@afreshtechnologies.com
About Afresh
Founded in 2017, Afresh is working on the #1 solution to curb climate change: reducing food waste. By combining human insight and transformative technology, we're helping grocers provide fresher food to customers at more affordable prices.
Afresh sits at an incredible intersection of positive social impact, rocket ship financial growth, and cutting-edge technology. Our best-in-class AI research has been published in top journals including ICML, and we've raised over $148 million in funding from investors including former co-CEO of Whole Foods Market Walter Robb and Eric Schmidt's Innovation Endeavors.
Fresh is the past, present, and future of our food system the waste we create today will impact our planet for years to come. Join us as we continue to build a vibrant, diverse, and inclusive team that embodies our companys values of proactivity, kindness, candor, and humility.
Afresh provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity/expression, marital status, pregnancy or related condition, or any other basis protected by law.
Here at Afresh, many of our employees work remotely provided that they reside in one of the following states: AR, CA, CO, FL, GA, IL, KY, MA, MI, MT, MO, NV, NJ, NY, NC, OR, PA, TX, WA, WI. However, there may be key roles that will require a candidate/employee to be local to our San Francisco, CA office. In which case this requirement will be included in the job posting details under \\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\"Skills and experience\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\" for reference.
