By Larry Sheradon
on May 7, 2021
Salary range: $80,000 - $100,000 for shorter professional experience or $100,000 - $120,000 for longer professional experience, and depending on specific skills and qualifications
We are looking for a software developer who can help grow our products, our engineering efforts and our roadmap by focusing on the user-facing experience of our platform.
This is a full-time position with great benefits, including a competitive compensation structure & a remote work environment. The job requires understanding customer pain points, our product roadmap and implementing code on cross-functional products.
This is the perfect opportunity for anyone who is looking to explore a career in a new industry - software & data in the data and startup space. Lots of opportunities for growth in a fun, flexible, remote & fast paced environment. We are a small but growing team and we want you to grow with us.
The ideal candidate needs to be a motivated self-starter and have a keen interest for both software development, front end development skills, curiosity to learn new skills and understand market requirements for products.
Your day to day work will primarily center around these tools:
- React & Redux
- CSS / SASS and mobile-friendly, responsive design
- Ruby on Rails
- A keen eye for product usability & UX, bonus points for design experience
Good skills to have
We’d love to know if you have experience with any of the following, but please don’t count yourself out if you don’t:
- Experience working in a remote-first environment
- Building, editing & maintaining CMS templates to fit design guidelines
- Familiarity with mapping toolkits like Leaflet or Mapbox
- Work with a team of software developers & data engineers across all of our product lines
- Contribute code to front- and back-end features in our Rails application, with a focus on UI development
- Ability to split your time on a weekly basis between roadmap priorities, bugs and customer requests.
- 3+ years of experience in software development in a fast-paced environment
- Experience in communicating data & product requirements and interpreting customer expectations
- Ability to troubleshoot quickly and implement solutions to address bugs & mission critical issues
- Help scope/solution out custom professional services development work, built on top of our Landgrid mapping platform
About Loveland Technologies LLC
Loveland Technologies is a Detroit-based nationwide parcel data & mapping software company. We are headquartered in Detroit, however we are a fully remote & distributed team with members working out of multiple time zones across the USA. Loveland welcomes and gives equal consideration to qualified applicants of any race, gender, sexual orientation, religion, national origin, age, or disability status. Benefits include flexible work hours and vacation days, health care, and paid parental leave.
Landgrid Parcel Data - We have collected and standardized a high quality nationwide dataset of over 147 million land parcels covering over 97% of residents in the USA. We offer our data in multiple formats to customers across private and public sector verticals as bulk data files & through an API. Our Mapping as a Service product, landgrid.com, allows our customers to map & survey with the parcel data we have collected. Our mobile apps give individuals and teams access to the latest parcel data and data collection tools in the field.
Over the last several years, we have created a successful suite of products, a growing customer base and project portfolio, and an effective organization. Our products are built in-house from scratch and are a labor of love that has become great business.
We invite all qualified applicants to submit a resume and cover letter for this position by emailing us at email@example.com.
By Sahana Murthy
on May 6, 2021
***This blog is a part of the "All you need to know about parcel data." blog series.***
I have been working at Loveland for a little over 2 years now. Everytime I meet anyone new, when asked what my company does - I often find myself explaining what land parcels are. Because without the explanation, most folks who aren’t familiar with the term “parcel data”, would automatically assume parcels aka packages, transportation and freight industry. Makes for a great conversation starter because I then go on to explain “what land parcels are”, how land is divided & owned but also about how parcel data essentially comprises geometry - polygons with shapes & boundaries ...and as I explain, I see their eyes widen with fascination. Such is the power of land parcels.
As our CEO - Jerry Paffendorf - puts it: “I am on a parcel, you are on a parcel, everyone is on a parcel for most part of their day!”
It really is the most FUNDAMENTAL piece of information that is applicable to absolutely everyone.
That’s why parcel data matters!
At the end of the day, parcel data is made of public record facts about how the country is subdivided, owned, taxed, and used. The public nature of the subdivision of land in the US stretches back to the earliest days of the country and big public programs like the US Public Land Survey which started in 1785. At Loveland, we see ourselves as providing a missing service by aggregating all these local datasets together into a big picture of how we own, use, and inhabit the country, at an affordable price.
So essentially, what we do as the cadastral kind is collect this information from over 3000 counties across the country, weave it into a beautifully standardized schema
and license it to our customers in multiple formats.
And that’s right - I did refer to us as the “Cadastral kind” - we believe it takes a different kind of DNA and tenacity to put this dataset together without compromising quality and accuracy. Our team is brimming with this DNA for sure. ;)
Which is why our customers choose and trust us over collecting all this data themselves and normalizing it.
Why is this such a tall order, you ask?
For starters, tirelessly collecting, cleaning and standardizing such a comprehensive dataset of ~150 million parcels across the country is no small feat. Takes years of tenacious effort, a combination of some level of tested/trusted automation but a lot of manual Qc’ing and continuous improvements of the data on a monthly basis. A mammoth task, one that’s best left to the experts - aka the incredible Loveland Data Team!
Secondly and most importantly,normalizing such a massive disparate raw dataset is really the hardest part of this process.We do rely on a very robust set of open source geo tools like PostGIS, QGIS, and GDAL. There’s still a lot of manual work backed by the judgement and experience of our parcel team.
Nearly every one of the 3,200 counties in the US manages its data independently. There’s very little consistency from place to place even for basic columns like “owner name”: it could be referred to as “firstname”, “fname”, “deedholder, “propow”, or pretty much anything else. And you’d think that a field called “Parcel ID” or “APN” might be unique — but it rarely is. Which is why we built in a universal parcel ID to make ingestion and working with this data at scale easy for everyone.
Generally, counties within states are more like each other than counties outside of those states, but not necessarily. Also, cleaning the data can be quite tricky at times. Working with this data makes it apparent how much human error can be involved, especially when it comes to casting columns that should be integers or double precision from text. Date field conversion can also be quite tricky at times, depending on the formatting used by a place. A lot of rules built up over time through these learnings plus the keen eyes of our data team help us keep quality high.
And finally, this data while is technically public data, it doesn’t necessarily mean open data and freely available for downloading. And with 3,200 counties nationwide, one can imagine what might go into acquiring this data before we can weave our magic into it.
That said, the real magic is really what one can do with this data when normalized at scale. The opportunities and the use cases are limitless - from real estate to renewable energy, utilities, manufacturing, insurance, GIS and tech, outdoor recreation to urban planning to using the data to bring upon positive change in your city or drive academic research on property landscape, COVID, on tax foreclosures, on disparity in land ownership - phew - just to name a few.
I didn't make this list up. These are the very real use cases that our customers have come to us with over the years and have found our parcel dataset to be THE solution to help solve these problems.
Such is the power of parcel data and THAT IS WHY IT MATTERS and that is why Loveland matters!
If you’d like to evaluate our data and learn more about how it can help your next project, please email us at firstname.lastname@example.org
About this blog series - All things you need to know about Parcel Data!
Join me - Sahana Murthy, the Chief Product Officer at Loveland Technologies, as I embark on this educational journey about land parcels, our parcel dataset, what goes into it, how you can use it and much more.
With every blog, I will dig deeper into the key facets about our parcel dataset, so keep an eye out for our next blog in this series. If you have a particular subject in mind that you’d like me to cover as part of this blog series, please write to me directly at email@example.com
. We are always looking for feedback and suggestions.
By Sahana Murthy
on May 4, 2021
Dear Friends of Loveland Parcel Data and landgrid.com,
A summary of updates in April of 2021 and the upcoming pipeline is below.
Key Data Stats:
- Average parcel age - 210 days, up from 208 last month.
- Average county age - 260 days, up from 258 last month.
- Refreshed 15,302,140 parcels and 271 counties since last month.
USPS Vacancy, Residential indicators: Now updated monthly. Updated in April 2021, next update in May.
Coverage Report: Updated for this month and available here
A Data Dictionary for the Loveland Parcel Record Schema is always available here
A machine-readable version of this list is included in the `verse` table available in all the formats above as well as CSV format for use in spreadsheets. To find the latest updates in verse, sort by 'last_refresh' and use the 'filename_stem' column to identify the file.
Data refreshed or added from the county in April and live now:
( Asterisk * indicates newly added county)
CA - Mendocino, Orange, San Diego
DC - Washington
FL - Lee
IA - Delaware, Floyd, Fremont, Keokuk, Mahaska, Mills, Page, Plymouth, Sioux, Winnebago, Worth
IL - Fulton, Grundy, Jersey, Knox, McLean, Peoria
IN - Adams, Allen, Bartholomew, Benton, Blackford, Boone, Carroll, Cass, Clark, Clay, Clinton, Crawford, Daviess, Dearborn, Decatur, DeKalb, Delaware, Dubois, Elkhart, Fayette, Floyd, Fountain, Franklin, Fulton, Gibson, Grant, Greene, Hamilton, Hancock, Harrison, Hendricks, Henry, Howard, Huntington, Jackson, Jasper, Jay, Jefferson, Jennings, Johnson, Knox, Kosciusko, LaGrange, Lake, LaPorte, Lawrence, Madison, Marion, Marshall, Martin, Miami, Monroe, Montgomery, Morgan, Newton, Noble, Ohio, Orange, Owen, Parke, Perry, Pike, Porter, Posey, Pulaski, Putnam, Randolph, Ripley, Rush, Scott, Shelby, Spencer, Starke, Steuben, St. Joseph, Sullivan, Switzerland, Tippecanoe, Tipton, Union, Vanderburgh, Vermillion, Vigo, Wabash, Warren, Warrick, Washington, Wayne, Wells, White, Whitley
KS - Anderson, Clay, Cloud, Coffey, Dickinson, Jewell, Mitchell, Smith
MD - Allegany, Anne Arundel, Baltimore, Baltimore City, Calvert, Caroline, Carroll, Cecil, Charles, Dorchester, Frederick, Garrett, Harford, Howard, Kent, Montgomery, Prince George's, Queen Anne's, Somerset, St. Mary's, Talbot, Washington, Wicomico, Worcester
MN - Benton, Big Stone, Mahnomen, Marshall, Martin, Sherburne, Swift
MO - Atchison, Holt
ND - Grant, Hettinger, Sioux, Traill
SD - Deuel, Grant, Hamlin, Kingsbury, Lincoln
TX - Anderson, Andrews, Angelina, Aransas, Armstrong, Atascosa, Austin, Bastrop, Baylor, Bee, Bell, Borden, Bowie, Brazoria, Brewster, Brown, Burnet, Caldwell, Calhoun, Cameron, Cass, Castro, Chambers, Cherokee, Childress, Clay, Cochran, Collin, Collingsworth, Colorado, Comal, Comanche, Concho, Cooke, Crockett, Culberson, Dallas, Dawson, Deaf Smith, Delta, Denton, DeWitt, Dickens, Eastland, Ector, Edwards, El Paso, Falls, Fayette, Foard, Fort Bend, Franklin, Freestone, Frio, Gaines, Galveston, Gillespie, Glasscock, Goliad, Gonzales, Guadalupe, Hale, Hall, Hamilton, Hardeman, Haskell, Hemphill, Hidalgo, Hill, Hood, Houston, Hudspeth, Hunt, Irion, Jack, Jasper, Jeff Davis, Jefferson, Jim Hogg, Jim Wells, Johnson, Jones, Karnes, Kendall, Kenedy, Kent, Kerr, Kimble, King, Kinney, Kleberg, Lampasas, La Salle, Lavaca, Loving, Lubbock, Lynn, Martin, McLennan, Menard, Midland, Mitchell, Montague, Montgomery, Morris
VA - Culpeper, Prince William
In the current pipeline for updating in May 2021
In the pipeline for updating in June 2021
Based on feedback and county challenges, pipeline planning is always subject to change. As always, please contact us if you have any questions about accessing or using the data, you find issues with any of our data, or you have any comments or questions about our data in specific areas or states. We also love to hear from you about which counties or regions you’d like to see us update next, as it helps inform our planning process.
By Mary Lorene Carter
on April 21, 2021
Sales Development Representative(Remote)
LOVELAND Technologies LLC
1. Execute company processes to convert inbound leads into Sales Qualified Leads (SQL) with a hand-off to an Account Executive
2. Parse all inbound communications and direct into appropriate processs and responsible party
3. Execute company outbound lead development programs, advancing leads into Sales Qualified Leads with a hand-off to an Account Executive
4. Regularly report on quantity, velocity, quality and conversion of leads into SQLs
5. Participate in team meetings and department strategy sessions
Deliver results. Handle the volume. Be effective with prioritization and diligent with follow-up.
Build relationships. Work closely with the sales organization and other company teams to further develop the lead into SQLs
Become an expert. Leverage the CRM and be diligent about creating/managing all data and activities.
Customer oriented with a high level of professionalism
A commanding desire to learn and succeed in tech sales
Responsive, friendly, and thoughtful in your communications; effective in communicating ideas and information, both written and verbal
Coachable—you don’t just go through the motions and do what we say. You’re self-aware. You reflect, listen to others’ feedback, give yourself feedback, and make changes
Ability to learn new concepts, retain large amounts of information, and adapt to a changing work environment
You are comfortable on the phone and don’t shy away from the phone or favor only electronic means of communication
Motivated and goal oriented
45K - 55K 80-90% base
Please send resume and cover letter to firstname.lastname@example.org
About LOVELAND Technologies LLC
LOVELAND Technologies is a Detroit-based nationwide parcel data & mapping software company and we run the site landgrid.com. We are headquartered in Detroit, however we are a remote & distributed team with members of the team working out of multiple locations across the USA.
Landgrid Parcel Data - We have collected and standardized a high quality nationwide dataset of over 149 million land parcel data, covering over 98% of residents in the USA.
We offer our data services in multiple formats to customers across all private and public sector verticals as bulk data files & API. Over the last several years we have created a successful suite of products, a growing customer base and project portfolio and an effective organization. We also have a Mapping as a Software product that allows our customers to map & survey with the parcel data we have collected.