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Staff Engineer

Portpro · New York City, New York · Remote · Active · $180,000–$220,000 / year · Lever

Job facts

FieldValue
CompanyPortpro
TitleStaff Engineer
Normalized title-
Department / teamEngineering / Engineering
LocationNew York City, NY, United States
Work modelRemote / Remote
Employment typeRemote
Salary$180,000–$220,000 / year
Statusactive
ATS providerLever
Posted / first seen2023-12-01 / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Portpro.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Lever.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in New York City.Open
Department jobsActive postings in Engineering.Open
Work model jobsActive Remote postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyPortpro
Source7b360ea1-0a5f-4c9e-a02e-146bdde51a23
ATS providerLever

Description

At PortPro, we are revolutionizing the drayage industry with our premier web-based operating system. As a fast-growing company, we are building out the most comprehensive technology platform to optimize supply chains and make them more efficient. By joining our team at the ground level, you will have the opportunity to be a part of our company's growth and expansion as a global organization, while also making a significant impact on the world. Supply chains are a crucial part of the global economy, and by working to improve them, we are not only solving problems for our own benefit, but for the benefit of society as a whole. Our team is like family. Working at PortPro, we want you to feel like you are part of the bigger picture, not just working for yourself. We work in a no-drama, no-ego environment We work together and collaboratively to achieve the same goal. We are a team of smart, kind, hard working people. You’ll be surrounded by those that inspire you to bring your best self to work each day. We're an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Responsibilities You'll lead the architecture design and execution to build machine learning-based solutions in the cloud and on a mobile app. This will include but is not limited to the use of Generative AI/Large Language Models (LLMs),Optimization Problems, building Domain Specific LLMs.. You will be expected to work full stack across mobile app, cloud services to deliver ML-backed features for customers You will identify, invent and follow best practices for deploying ML to the cloud and app. Translate ambiguous product definition into detailed requirements, and end-to-end technical strategy docs. Define and develop infrastructure to build, release and test updates to underlying ML models in production systems. You will build solutions that let the team quickly experiment while maintaining an exceptionally high quality bar for shipped software. You will lead SCRUM/Agile ceremonies to create and execute consistent and timely delivery. You will identify and represent technical risks to the customer experience, or its delivery to senior leaders and stakeholders. The Work You'll work with Production, Engineering, Data Science to plan, design and deliver customer-facing experiences. Be hands-on in shaping product, user experience, and team processes to iterate quickly. Expect to dive deep into the customer problem. This team will develop expertise in building software that directly influences real-world human behavior.

Full job record

Job ID602c5f91cd2ac1135f19471761e4abd5ef0a1a5e
Org ID2c33997e-56c9-4664-8ca3-86828178d605
Source ID7b360ea1-0a5f-4c9e-a02e-146bdde51a23
Board ID7b360ea1-0a5f-4c9e-a02e-146bdde51a23
Providerlever
Provider Job Keyb8681c1c-88bb-4f1b-8758-8ea2b589cd2e
TitleStaff Engineer
Normalized Title
Statusactive
Activeyes
Location TextNew York City, New York
DepartmentEngineering
TeamEngineering
Employment TypeRemote
Workplace Typeremote
Remote Policyremote
CountryUnited States
RegionNY
CityNew York City
Salary RawUSD 180000-220000 per-year-salary
Salary Min180,000
Salary Max220,000
Salary CurrencyUSD
Salary Periodyear
Source URLhttps://jobs.lever.co/portpro/b8681c1c-88bb-4f1b-8758-8ea2b589cd2e
Apply URLhttps://jobs.lever.co/portpro/b8681c1c-88bb-4f1b-8758-8ea2b589cd2e/apply
First Seen At2026-05-29 07:02:53Z
Last Seen At2026-06-06 07:56:44Z
Last Checked At2026-06-06 07:56:44Z
Last Changed At2026-05-29 07:02:53Z
Inactive At
Source Posted At2023-12-01 14:31:56Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=lever/board=portpro/date=2026-06-06/2026-06-06T07-56-43-843Z-ddd1212e774c047b8b17e4358786e57cd55b4b751dbe590c7325c415dd889364.json
Event Fields
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  "last_changed_at": "2026-05-29T07:02:53.190Z",
  "active_status": "active"
}
Parsed Structured
{
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  "location": {
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    "city": "New York City",
    "region": "NY",
    "country": "United States",
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  "launch_scope": {
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      "region": "NY",
      "country": "United States",
      "is_remote": true,
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    "countries": [
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  },
  "remote_policy": "remote",
  "salary_period": "year",
  "workplace_type": "remote",
  "salary_currency": "USD"
}
Extensions
{}
Native Structured
{
  "lists": [
    {
      "text": "Responsibilities",
      "content": "<li>You'll lead the architecture design and execution to build machine learning-based solutions in the cloud and on a mobile app. This will include but is not limited to the use of Generative AI/Large Language Models (LLMs),Optimization Problems, building Domain Specific LLMs..</li><li>You will be expected to work full stack across mobile app, cloud services to deliver ML-backed features for customers</li><li>You will identify, invent and follow best practices for deploying ML to the cloud and app.&nbsp;</li><li>Translate ambiguous product definition into detailed requirements, and end-to-end technical strategy docs.</li><li>Define and develop infrastructure to build, release and test updates to underlying ML models in production systems. You will build solutions that let the team quickly experiment while maintaining an exceptionally high quality bar for shipped software.</li><li>You will lead SCRUM/Agile ceremonies to create and execute consistent and timely delivery. You will identify and represent technical risks to the customer experience, or its delivery to senior leaders and stakeholders.</li>"
    },
    {
      "text": "The Work",
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  "country": "US",
  "createdAt": 1701441116709,
  "updatedAt": null,
  "categories": {
    "team": "Engineering",
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    "commitment": "Remote",
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  "salaryRange": {
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    "currency": "USD",
    "interval": "per-year-salary"
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}
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