Beans.ai is a location intelligence company that provides hyper-accurate geospatial data through APIs and custom solutions. Their services help navigate users to within 10 feet of secondary addresses in various locations like apartment complexes. They serve over 200,000 transportation and delivery services nationwide, processing over one million deliveries daily. Beans.ai also offers routing tools, a dispatch platform, and visualizations for improved operations across various industries.
• address verification
• distance matrix
• address classification
• reverse geocoding
• geocoding
• routing app & dispatch
• route planning
• 3d maps parking selection indoor navigation immersive
We are inviting current gig-economy drivers to help us collect data and maps. Anyone who has delivered for Doordash, UberEats, Postmates, Instacart, or Amazon is welcome to apply.
We are in a nationwide push for maps and we are looking for drivers everywhere in the U.S.
Download our app on your iPhone or Android phone, and create your profile. Review our FAQs and Tutorial pages first to hit the ground running. Once completed, check the map for available locations.
We are looking for site maps for apartment complexes of 40+ units, mobile home parks, assisted living facilities and senior living communities.
Our payout varies by state but is very competitive. In general we aim to help you make more than what you would be making with other delivery companies. When you download our app, you can see the payout per map in your are a. We are currently paying full map value for maps, which contain apartment numbers. All maps with only building numbers will be paid at a rate of $4 each.
Our weekly cut off for uploading maps is Tuesday, 6pm PST. We calculate and process maps on Wednesday, with payments being made on Thursday. Those payments should hit your account on Thursday or Friday.
The payments are made through direct deposit. However, the first payment can be sent to your Paypal account; but we will need direct deposit to be set up for all future payments.
Duplicates maps: we payout only once per map. So if someone has submitted the same one before, you won’t be paid for it. Colored pins on the map signify previously mapped locations Unreadable maps: map should be well lit, clear, centered and easily readable Online maps: maps downloaded from company websites or online resources Wrong addresses, double check the address of the location before submitting to avoid this Cut-off maps: make sure that the entire map is in the picture and that some key information like street names, or corner buildings are not missing Locations which do not have any form of directory or paper map available, a “No Map” location
Backend Engineer
Beans.ai offers location intelligence APIs and tools for accurate navigation, routing, and visualizations, serving various industries.
Benefits:
Unlimited PTO
Free lunch at the office
Medical
Dental
Vision
Education Requirements:
Masters in Computer Sciences preferred
Experience Requirements:
4-6 years of professional experience
Other Requirements:
Self motivated, hard working and proactive
High levels of operational process and task execution competence with organized and hands-on approach
Detail oriented
Responsibilities:
Integration of user-facing elements developed by a front-end developers with server side logic
Build robust and scalable software in Ruby, Scala, and/or Java
Design and create services and system architecture for your projects, and contribute and provide feedback to other team members
Help improve our code quality through writing unit tests, automation and performing code reviews
Building reusable code and libraries for future use
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Account Executive
Beans.ai offers location intelligence APIs and tools for accurate navigation, routing, and visualizations, serving various industries.
Benefits:
Unlimited PTO
Free lunch at the office
Medical
Dental
Vision
Experience Requirements:
5-7 years of professional experience
Responsibilities:
Manage the entire sales cycle from client prospecting, meetings, product demos, deal negotiation and onboarding
Build upon your existing network of enterprise customers relationships to qualify, educate, manage prospects and close large deals
Evaluate and prioritize partnership opportunities, performing quantitative and qualitative due diligence
Develop lead-generation plan and establish best practices on lead conversion
Consistently meet or exceed monthly and quarterly revenue targets
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Data Operations Manager
Beans.ai offers location intelligence APIs and tools for accurate navigation, routing, and visualizations, serving various industries.
Benefits:
Unlimited PTO
Free lunch at the office
Medical
Dental
Vision
Experience Requirements:
5-8 years of professional experience
Other Requirements:
Ability to manage, motivate and nurture employees
High levels of operational process and task execution competence with organized and hands-on approach
Detail oriented with great communication skills and tech savvy
Responsibilities:
Supervise and help scale the team of 15 data annotators
Establish a team culture, nurture employees and scout for future hires
Devise performance benchmarks and help the team hit those benchmarks
Set up weekly and monthly reporting and tracking
Identify and brainstorm tools/ solutions for increasing productivity
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