Home › Companies › GenLogs Corporation › Data Engineer
Data Engineer
GenLogs Corporation · Remote (United States), United States · Remote · Active · Rippling ATS
Job facts
| Field | Value |
|---|---|
| Company | GenLogs Corporation |
| Title | Data Engineer |
| Normalized title | - |
| Department / team | Data and Analytics |
| Location | United States |
| Work model | Remote / Remote |
| Employment type | Full Time |
| Salary | - |
| Status | active |
| ATS provider | Rippling ATS |
| Posted / first seen | 2025-12-11 / 2026-05-29 |
| Changed / last seen | 2026-06-06 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from GenLogs Corporation. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Rippling ATS. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| Department jobs | Active postings in Data and Analytics. | Open |
| Work model jobs | Active Remote postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | GenLogs Corporation |
| Source | 5a2404f4-395e-4e34-b484-2574101a8f8f |
| ATS provider | Rippling ATS |
Description
company
GenLogs is a transportation-technology company building the next generation of truck intelligence. Through a nationwide network of sensors and proprietary data, we deliver real-time, high-fidelity insights into freight movement for commercial supply-chain customers and public-sector agencies. Our mission is to strengthen America’s logistics backbone, combat freight fraud and cargo theft, and provide near-instantaneous visibility into commercial motor vehicle activity across major freight corridors. By operating at the intersection of edge sensing, computer vision, AI-driven analytics, and large-scale field deployment, GenLogs is transforming how transportation data is captured, secured, and commercialized.
role
ABOUT THE JOB
You’re a problem solver at heart. You thrive at the intersection of engineering, computer science, and data, you’re motivated by questions that don’t have obvious answers, and you love to architect and build reliable systems that enable whole organizations to build world class analytics. You bring a background in engineering, computer science, physics, applied math, or another hard science discipline, and you enjoy applying that technical foundation to real-world data challenges.
You are energized by ambiguity, obsessed with understanding how complex systems behave, and capable of breaking down big problems into tractable iterations. You ask great questions, validate assumptions with data, and are relentless in your pursuit of signal over noise.
WHAT YOU’LL DO Build and maintain ETL/ELT pipelines using Python and SQL. Develop ingestion workflows with AWS Firehose , S3, and related services. Create and optimize dbt models, tests, and incremental logic. Tune Snowflake queries and warehouse usage for cost and performance. Operate and improve Airflow DAGs for reliable execution and monitoring. Maintain high data quality, data integrity, and pipeline SLA commitments. Bring clarity to ambiguous requirements and propose practical solutions. Build feature pipelines to support ML workflows. Support model deployment, monitoring, and automated retraining. Add data validation and quality checks across ML and analytics pipelines. REQUIRED QUALIFICATIONS 3+ years of experience in data engineering or software engineering. Strong Python and SQL skills. Hands-on experience with Snowflake , AWS Firehose/S3 , Airflow , and dbt . Ability to work independently and execute in a dynamic environment. Strong problem-solving skills and attention to detail. PREFERRED QUALIFICATIONS Experience with geospatial data (e.g., spatial joins, geometry processing, or geospatial libraries). Experience with ML or MLOps pipelines. Knowledge of Snowflake streams, tasks, and performance tuning. Experience with large-scale or semi-structured datasets. WHO WILL SUCCEED HERE You will love this role if you are:
Relentlessly curious — you ask “why?” repeatedly until you reach the root Technically fearless — not afraid to dive into large datasets, new ML techniques, or unfamiliar codebases Impact-driven — you want your models to power real, high-stakes decisions in a massive industry Comfortable with ambiguity — our data is large, messy, and evolving, and that excites you Collaborative — you enjoy working with engineers, data teams, and product stakeholders to deliver real customer value US SALARY RANGE GenLogs establishes compensation based on role, level, experience, and location. Salary bands are benchmarked against high-growth technology companies and adjusted for market conditions. Equity grants are included in most full-time offers to ensure every team member participates in the company’s long-term value creation. A recruiter will provide a precise range during the hiring process.
BENEFITS Healthcare (US based only) Employer-covered comprehensive medical, dental, and vision plans Employer contribution towards premiums of optional higher-end plans Time Off Unlimited PTO Sick leave Company holidays (GenLogs observes all US Government holidays) Flexible leave for caregiving and medical needs Family Support Paid parental leave Professional Development Budget availability for approved professional development courses, certifications, and training Travel Support 100% travel reimbursement for all approved company travel and spending Retirement Savings 401(k) plan (US based employees) A recruiter can provide more detail about the specific compensation and benefits associated with this role.
Full job record
| Job ID | fa8b52cbf79ed29f0772d27d6a3669ec81d942e6 |
| Org ID | 8726e69a-7ee7-48ab-8674-05f8dbaf5915 |
| Source ID | 5a2404f4-395e-4e34-b484-2574101a8f8f |
| Board ID | 5a2404f4-395e-4e34-b484-2574101a8f8f |
| Provider | rippling |
| Provider Job Key | d6f795d6-9e2d-4387-b3c0-3a84b3d00e79 |
| Title | Data Engineer |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Remote (United States), United States |
| Department | Data and Analytics |
| Team | — |
| Employment Type | full_time |
| Workplace Type | remote |
| Remote Policy | remote |
| Country | United States |
| Region | — |
| City | — |
| Salary Raw | — |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://ats.rippling.com/genlogs-corporation/jobs/d6f795d6-9e2d-4387-b3c0-3a84b3d00e79 |
| Apply URL | https://ats.rippling.com/genlogs-corporation/jobs/d6f795d6-9e2d-4387-b3c0-3a84b3d00e79 |
| First Seen At | 2026-05-29 07:13:01Z |
| Last Seen At | 2026-06-06 20:26:35Z |
| Last Checked At | 2026-06-06 20:26:35Z |
| Last Changed At | 2026-06-06 20:26:35Z |
| Inactive At | — |
| Source Posted At | 2025-12-11 01:07:14Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=rippling/board=genlogs-corporation/date=2026-06-06/2026-06-06T20-26-34-717Z-816212ce50851875b9a269165dfab6c10d6fcf4d6eed3d246a533d536e9b4796.json |
Event Fields
{
"content_hash": "afd3c311df0139430ddeef119572599cd6ec391b7dcaa2f44b4d84548db4eda9",
"source_hash": "a7b29a00a466731eb2545ddb86a1ac0851c5e386b1fd021c70cb837d48b54e8b",
"last_changed_at": "2026-06-06T20:26:35.934Z",
"active_status": "active"
}Parsed Structured
{
"language": "en-us",
"location": {
"raw": "Remote (United States), United States",
"city": null,
"region": null,
"country": "United States",
"is_remote": true,
"confidence": 0.98,
"workplace_type": "remote"
},
"salary_max": null,
"salary_min": null,
"inferred_at": "2026-06-06T20:26:35.927Z",
"launch_scope": {
"reason": "english_us_canada",
"included": true,
"language": "en-us",
"location": {
"raw": "Remote (United States), United States",
"city": null,
"region": null,
"country": "United States",
"is_remote": true,
"confidence": 0.98,
"workplace_type": "remote"
},
"countries": [
"United States"
]
},
"remote_policy": "remote",
"salary_period": null,
"workplace_type": "remote",
"salary_currency": null
}Extensions
{}Native Structured
{
"list_job": {
"id": "d6f795d6-9e2d-4387-b3c0-3a84b3d00e79",
"url": "https://ats.rippling.com/genlogs-corporation/jobs/d6f795d6-9e2d-4387-b3c0-3a84b3d00e79",
"name": "Data Engineer",
"language": "en-US",
"locations": [
{
"city": "",
"name": "Remote (United States)",
"state": "",
"country": "United States",
"stateCode": null,
"countryCode": "US",
"workplaceType": "REMOTE"
}
],
"department": {
"name": "Data and Analytics"
}
},
"detail_job": {
"url": "https://ats.rippling.com/genlogs-corporation/jobs/d6f795d6-9e2d-4387-b3c0-3a84b3d00e79",
"name": "Data Engineer",
"uuid": "d6f795d6-9e2d-4387-b3c0-3a84b3d00e79",
"board": {
"logo": {
"url": "https://secured-assets.ripplingcdn.com/us1/ats/6580bdf0b44ddb7ee270e028/ats/7ab3562e7ed64ddb95a9eec1478639e8?Expires=1780863995&Signature=qPQdsJ8lbVnc2NnWZLBnczrFP6Q29ksdTOKPEENuKN3hLrAo8ai6K-1PJwVCVjA3EfkmvGWorEzU7D3KO5O7CEkJYXkBuHOpdCD-d692ORCX0nGszhYoxdxsoyedHgjEvOVN~72sux-U7znz9wI-~AezBxEBv21ouU86EApIdBrzoJ-rxZo9-TFT6VhiGH0sHaOgcSrTZEo1wdX2Nr7~5uQAf8TDz9xySr-cOr7CHrjidaIrMexHtIEAq6e88fRfj-YItG1REjgC6SonP1NZ5Zt9Wl4PHkVgsymIk38qVyVfRSL8zJTeHOA6-0Zv1MWv5LlYnfFXPSj9Xi5b3u01Ww__&Key-Pair-Id=K2SM3GXN9F9XGM",
"name": "GenLogs Logo - big.png",
"type": "image/png"
},
"slug": "genlogs-corporation",
"title": "GenLogs Corporation",
"banner": {
"url": null,
"name": "",
"type": ""
},
"boardURL": "https://ats.rippling.com/genlogs-corporation/jobs",
"fontType": null,
"subtitle": null,
"boardType": "RIPPLING",
"linkColor": null,
"buttonColor": null,
"legalNotice": null,
"buttonTextColor": null,
"noOpeningsMessage": null,
"groupJobsByLocation": true,
"showBoardLogoOnJobPost": true,
"showCompanyInfoUnderJobPost": false
},
"createdOn": "2025-12-10T17:07:14.438000-08:00",
"department": {
"name": "Data and Analytics",
"base_department": "Data and Analytics",
"department_tree": [
"Data and Analytics"
]
},
"companyName": "GenLogs Corporation",
"description": {
"role": "<meta><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br></p><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><b><strong style=\"color:rgb(0,0,0);font-size:17pt;white-space:pre-wrap;\">ABOUT THE JOB</strong></b></p><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">You’re a problem solver at heart. You thrive at the intersection of </span><b><strong style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">engineering, computer science, and data,</strong></b><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\"> you’re motivated by questions that don’t have obvious answers, and you love to architect and build reliable systems that enable whole organizations to build world class analytics. You bring a background in engineering, computer science, physics, applied math, or another hard science discipline, and you enjoy applying that technical foundation to real-world data challenges.</span></p><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">You are energized by ambiguity, obsessed with understanding how complex systems behave, and capable of breaking down big problems into tractable iterations. You ask great questions, validate assumptions with data, and are relentless in your pursuit of signal over noise.</span></p><h2 style=\"font-family:"Basel Grotesk",Arial,sans-serif;line-height:1.6;font-size:29pt;font-weight:600;letter-spacing:0.5px;margin-top:18px;margin-bottom:4px;padding-left:0px;\"><b><strong style=\"color:rgb(0,0,0);font-size:17pt;white-space:pre-wrap;\">WHAT YOU’LL DO</strong></b></h2><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"color:rgb(0,0,0);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Build and maintain ETL/ELT pipelines using Python and SQL.</span></li><li style=\"color:rgb(0,0,0);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Develop ingestion workflows with </span><b><strong style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">AWS Firehose</strong></b><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">, S3, and related services.</span></li><li style=\"color:rgb(0,0,0);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Create and optimize </span><b><strong style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">dbt</strong></b><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\"> models, tests, and incremental logic.</span></li><li style=\"color:rgb(0,0,0);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Tune </span><b><strong style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Snowflake </strong></b><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">queries and warehouse usage for cost and performance.</span></li><li style=\"color:rgb(0,0,0);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Operate and improve </span><b><strong style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Airflow</strong></b><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\"> DAGs for reliable execution and monitoring.</span></li><li style=\"color:rgb(0,0,0);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Maintain high data quality, data integrity, and pipeline SLA commitments.</span></li></ul><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"color:rgb(0,0,0);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Bring clarity to ambiguous requirements and propose practical solutions.</span></li></ul><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"color:rgb(0,0,0);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Build feature pipelines to support ML workflows.</span></li><li style=\"color:rgb(0,0,0);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Support model deployment, monitoring, and automated retraining.</span></li><li style=\"color:rgb(0,0,0);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Add data validation and quality checks across ML and analytics pipelines.</span></li></ul><h2 style=\"font-family:"Basel Grotesk",Arial,sans-serif;line-height:1.6;font-size:29pt;font-weight:600;letter-spacing:0.5px;margin-top:18px;margin-bottom:4px;padding-left:0px;\"><b><strong style=\"color:rgb(0,0,0);font-size:17pt;white-space:pre-wrap;\">REQUIRED QUALIFICATIONS</strong></b></h2><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"color:rgb(0,0,0);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><b><strong style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">3+ years</strong></b><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\"> of experience in data engineering or software engineering.</span></li><li style=\"color:rgb(0,0,0);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Strong Python and SQL skills.</span></li><li style=\"color:rgb(0,0,0);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Hands-on experience with </span><b><strong style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Snowflake</strong></b><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">, </span><b><strong style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">AWS Firehose/S3</strong></b><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">, </span><b><strong style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Airflow</strong></b><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">, and </span><b><strong style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">dbt</strong></b><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">.</span></li><li style=\"color:rgb(0,0,0);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Ability to work independently and execute in a dynamic environment.</span></li><li style=\"color:rgb(0,0,0);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Strong problem-solving skills and attention to detail.</span></li></ul><h2 style=\"font-family:"Basel Grotesk",Arial,sans-serif;line-height:1.6;font-size:29pt;font-weight:600;letter-spacing:0.5px;margin-top:18px;margin-bottom:4px;padding-left:0px;\"><b><strong style=\"color:rgb(0,0,0);font-size:17pt;white-space:pre-wrap;\">PREFERRED QUALIFICATIONS</strong></b></h2><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"color:rgb(0,0,0);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Experience with geospatial data (e.g., spatial joins, geometry processing, or geospatial libraries).</span></li><li style=\"color:rgb(0,0,0);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Experience with ML or MLOps pipelines.</span></li><li style=\"color:rgb(0,0,0);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Knowledge of Snowflake streams, tasks, and performance tuning.</span></li><li style=\"color:rgb(0,0,0);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Experience with large-scale or semi-structured datasets.</span></li></ul><h2 style=\"font-family:"Basel Grotesk",Arial,sans-serif;line-height:1.6;font-size:29pt;font-weight:600;letter-spacing:0.5px;margin-top:18px;margin-bottom:4px;padding-left:0px;\"><b><strong style=\"color:rgb(0,0,0);font-size:17pt;white-space:pre-wrap;\">WHO WILL SUCCEED HERE</strong></b></h2><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">You will love this role if you are:</span></p><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"color:rgb(0,0,0);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><b><strong style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Relentlessly curious</strong></b><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\"> — you ask “why?” repeatedly until you reach the root</span></li><li style=\"color:rgb(0,0,0);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><b><strong style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Technically fearless</strong></b><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\"> — not afraid to dive into large datasets, new ML techniques, or unfamiliar codebases</span></li><li style=\"color:rgb(0,0,0);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><b><strong style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Impact-driven</strong></b><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\"> — you want your models to power real, high-stakes decisions in a massive industry</span></li><li style=\"color:rgb(0,0,0);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><b><strong style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Comfortable with ambiguity</strong></b><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\"> — our data is large, messy, and evolving, and that excites you</span></li><li style=\"color:rgb(0,0,0);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><b><strong style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Collaborative</strong></b><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\"> — you enjoy working with engineers, data teams, and product stakeholders to deliver real customer value</span></li></ul><h2 style=\"font-family:"Basel Grotesk",Arial,sans-serif;line-height:1.6;font-size:29pt;font-weight:600;letter-spacing:0.5px;margin-top:18px;margin-bottom:4px;padding-left:0px;\"><b><strong style=\"color:rgb(0,0,0);font-size:17pt;white-space:pre-wrap;\">US SALARY RANGE</strong></b></h2><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">GenLogs establishes compensation based on role, level, experience, and location. Salary bands are benchmarked against high-growth technology companies and adjusted for market conditions. Equity grants are included in most full-time offers to ensure every team member participates in the company’s long-term value creation. A recruiter will provide a precise range during the hiring process.</span></p><h2 style=\"font-family:"Basel Grotesk",Arial,sans-serif;line-height:1.6;font-size:29pt;font-weight:600;letter-spacing:0.5px;margin-top:18px;margin-bottom:4px;padding-left:0px;\"><b><strong style=\"color:rgb(0,0,0);font-size:17pt;white-space:pre-wrap;\">BENEFITS</strong></b></h2><h3 style=\"font-family:"Basel Grotesk",Arial,sans-serif;line-height:1.6;font-size:21pt;font-weight:600;letter-spacing:0.25px;margin-top:14px;margin-bottom:4px;padding-left:0px;\"><b><strong style=\"color:rgb(0,0,0);font-size:13pt;white-space:pre-wrap;\">Healthcare (US based only)</strong></b></h3><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"color:rgb(0,0,0);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Employer-covered comprehensive medical, dental, and vision plans</span></li><li style=\"color:rgb(0,0,0);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Employer contribution towards premiums of optional higher-end plans</span></li></ul><h3 style=\"font-family:"Basel Grotesk",Arial,sans-serif;line-height:1.6;font-size:21pt;font-weight:600;letter-spacing:0.25px;margin-top:14px;margin-bottom:4px;padding-left:0px;\"><b><strong style=\"color:rgb(0,0,0);font-size:13pt;white-space:pre-wrap;\">Time Off</strong></b></h3><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"color:rgb(0,0,0);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Unlimited PTO</span></li><li style=\"color:rgb(0,0,0);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Sick leave</span></li><li style=\"color:rgb(0,0,0);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Company holidays (GenLogs observes all US Government holidays)</span></li><li style=\"color:rgb(0,0,0);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Flexible leave for caregiving and medical needs</span></li></ul><h3 style=\"font-family:"Basel Grotesk",Arial,sans-serif;line-height:1.6;font-size:21pt;font-weight:600;letter-spacing:0.25px;margin-top:14px;margin-bottom:4px;padding-left:0px;\"><b><strong style=\"color:rgb(0,0,0);font-size:13pt;white-space:pre-wrap;\">Family Support</strong></b></h3><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"color:rgb(0,0,0);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Paid parental leave</span></li></ul><h3 style=\"font-family:"Basel Grotesk",Arial,sans-serif;line-height:1.6;font-size:21pt;font-weight:600;letter-spacing:0.25px;margin-top:14px;margin-bottom:4px;padding-left:0px;\"><b><strong style=\"color:rgb(0,0,0);font-size:13pt;white-space:pre-wrap;\">Professional Development</strong></b></h3><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"color:rgb(0,0,0);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Budget availability for approved professional development courses, certifications, and training</span></li></ul><h3 style=\"font-family:"Basel Grotesk",Arial,sans-serif;line-height:1.6;font-size:21pt;font-weight:600;letter-spacing:0.25px;margin-top:14px;margin-bottom:4px;padding-left:0px;\"><b><strong style=\"color:rgb(0,0,0);font-size:13pt;white-space:pre-wrap;\">Travel Support</strong></b></h3><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"color:rgb(0,0,0);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">100% travel reimbursement for all approved company travel and spending</span></li></ul><h3 style=\"font-family:"Basel Grotesk",Arial,sans-serif;line-height:1.6;font-size:21pt;font-weight:600;letter-spacing:0.25px;margin-top:14px;margin-bottom:4px;padding-left:0px;\"><b><strong style=\"color:rgb(0,0,0);font-size:13pt;white-space:pre-wrap;\">Retirement Savings</strong></b></h3><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"color:rgb(0,0,0);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">401(k) plan (US based employees)</span></li></ul><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">A recruiter can provide more detail about the specific compensation and benefits associated with this role.</span></p><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br></p>",
"company": "<meta><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;text-align:start;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">GenLogs is a transportation-technology company building the next generation of truck intelligence. Through a nationwide network of sensors and proprietary data, we deliver real-time, high-fidelity insights into freight movement for commercial supply-chain customers and public-sector agencies. Our mission is to strengthen America’s logistics backbone, combat freight fraud and cargo theft, and provide near-instantaneous visibility into commercial motor vehicle activity across major freight corridors. By operating at the intersection of edge sensing, computer vision, AI-driven analytics, and large-scale field deployment, GenLogs is transforming how transportation data is captured, secured, and commercialized.</span></p>"
},
"workLocations": [
"Remote (United States)"
],
"employmentType": {
"id": "Salaried, full-time",
"label": "SALARIED_FT"
},
"payRangeDetails": [],
"activeJobApplication": {
"basicQuestions": [
{
"oid": "first_name",
"title": "First name",
"required": true,
"fieldType": "SHORT_ANSWER"
},
{
"oid": "last_name",
"title": "Last name",
"required": true,
"fieldType": "SHORT_ANSWER"
},
{
"oid": "email",
"title": "Email",
"required": true,
"fieldType": "SHORT_ANSWER"
},
{
"oid": "current_company",
"title": "Current company",
"required": false,
"fieldType": "SHORT_ANSWER"
},
{
"oid": "phone_number",
"title": "Phone number",
"required": true,
"fieldType": "PHONE_NUMBER"
},
{
"oid": "location",
"title": "Location (city only)",
"required": true,
"fieldType": "SHORT_ANSWER"
},
{
"oid": "linkedin_link",
"title": "LinkedIn link",
"required": true,
"fieldType": "SHORT_ANSWER"
},
{
"oid": "resume",
"title": "Resume",
"required": true,
"fieldType": "FILE"
},
{
"oid": "cover_letter",
"title": "Cover letter",
"required": false,
"fieldType": "FILE"
}
],
"customQuestions": {
"fields": [
{
"oid": "first_name",
"title": "First name",
"required": true,
"fieldData": {},
"fieldType": "SHORT_ANSWER"
},
{
"oid": "last_name",
"title": "Last name",
"required": true,
"fieldData": {},
"fieldType": "SHORT_ANSWER"
},
{
"oid": "email",
"title": "Email",
"required": true,
"fieldData": {},
"fieldType": "SHORT_ANSWER"
},
{
"oid": "current_company",
"title": "Current company",
"required": false,
"fieldData": {},
"fieldType": "SHORT_ANSWER"
},
{
"oid": "phone_number",
"title": "Phone number",
"required": true,
"fieldData": {},
"fieldType": "PHONE_NUMBER"
},
{
"oid": "location",
"title": "Location (city only)",
"required": true,
"fieldData": {},
"fieldType": "SHORT_ANSWER"
},
{
"oid": "linkedin_link",
"title": "LinkedIn link",
"required": true,
"fieldData": {},
"fieldType": "SHORT_ANSWER"
},
{
"oid": "resume",
"title": "Resume",
"required": true,
"fieldData": {},
"fieldType": "FILE"
},
{
"oid": "cover_letter",
"title": "Cover letter",
"required": false,
"fieldData": {},
"fieldType": "FILE"
}
]
},
"additionalQuestions": [
{
"id": "69de4d5ddd8b450939edfddd",
"form": {
"sections": [],
"questions": [
{
"tags": [],
"title": "Are you currently eligible to work in the United States of America?",
"canEdit": false,
"dataType": "enum",
"isPrivate": false,
"uniqueKey": "c473058f-91d4-4cf7-9ade-2f93001bc673",
"intChoices": [],
"isRequired": true,
"strChoices": [
"Yes",
"No"
],
"description": "",
"questionType": "SINGLE_SELECT_DROPDOWN",
"allowComments": false,
"isOtherEnabled": false,
"isMultiSelectEnabled": false
},
{
"tags": [],
"title": "Will you now or in the future require sponsorship to work within the United States?",
"canEdit": false,
"dataType": "enum",
"isPrivate": false,
"uniqueKey": "8fa5de82-4e4b-44a2-bd5a-7a2a8182ddad",
"intChoices": [],
"isRequired": true,
"strChoices": [
"Yes",
"No"
],
"questionType": "SINGLE_SELECT_DROPDOWN",
"allowComments": false,
"isOtherEnabled": false,
"isMultiSelectEnabled": false
}
],
"skipLogic": [],
"deletedSections": [],
"deletedQuestions": []
},
"name": "Employment Authorization"
}
]
},
"hasAIEvaluationsEnabled": false,
"eeocQuestionnaireEnabled": true,
"applicationConfirmationTemplate": "677d99f4ace4d15c13a5c67a",
"eeocQuestionnaireEnabledForJobPost": true
},
"detail_meta": {
"url": "https://ats.rippling.com/api/v2/board/genlogs-corporation/jobs/d6f795d6-9e2d-4387-b3c0-3a84b3d00e79",
"http_status": 200,
"content_type": "application/json",
"response_bytes": 25318
},
"detail_errors": []
}Get this page with API
Rendered from the bluedoor Job Postings API. Reproduce it:
GET https://api.bluedoor.sh/job-postings/v1/jobs/fa8b52cbf79ed29f0772d27d6a3669ec81d942e6?include=descriptionJSONGET https://api.bluedoor.sh/job-postings/v1/orgs/8726e69a-7ee7-48ab-8674-05f8dbaf5915JSONGET https://api.bluedoor.sh/job-postings/v1/sources/5a2404f4-395e-4e34-b484-2574101a8f8fJSONGET https://api.bluedoor.sh/job-postings/v1/jobs/fa8b52cbf79ed29f0772d27d6a3669ec81d942e6/eventsJSON