TeamStation AI Careers Employee Directory

Software DevelopmentMassachusetts, United States11-50 Employees

TeamStation AI is a Distributed Engineering Operating System built to make large scale, multi vendor engineering predictable, governable, and secure.

Modern enterprises do not fail because of talent quality. They fail because distributed engineering introduces latency, blind spots, and standing risk across access, execution, and accountability. Traditional staffing, nearshore vendors, and managed services treat these issues as process problems. They are not. They are systems problems.

TeamStation AI internalizes distributed engineering as infrastructure.

The platform unifies talent discovery, cognitive evaluation, onboarding, access control, delivery governance, and continuous diagnostics into a single operating layer. Every engineer, contractor, and vendor becomes an observable node in the system, with measurable signal across performance, risk, and drift.

At the core is Axiom Cortex, a research backed evaluation and signal engine that replaces résumé based hiring with cognitive, linguistic, and execution level validation. This allows enterprises to scale teams without degrading quality or increasing coordination overhead.

Execution is governed through deterministic controls. Identity, device posture, environment access, and delivery pipelines are enforced as system constraints rather than policy. When violations occur, the Kill Switch Protocol executes immediate containment by collapsing access and halting propagation. This removes human latency from enforcement and prevents recovery cost from forming downstream.

TeamStation AI is not a staffing platform. It is not a marketplace. It is not a vendor overlay.

It is an operating system designed for CTOs and CIOs who need distributed engineering to behave like an internal capability, not an outsourced risk. The result is faster execution, lower failure cost, and the ability to scale engineering capacity without sacrificing control, security, or predictability.

Find TeamStation AI Careers employees' phone numbers or email addresses

TeamStation AI Careers Global Highlights

Location
Employees

North America
38

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  • Mexico
    32
  • United States Of America
    6

South America
2

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  • Peru
    1
  • Brazil
    1

Europe
1

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  • Germany
    1

TeamStation AI Careers's Leadership

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    E. A. D. C. L.
    Platform Engineering Lead
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    N. A.
    Principal Engineer
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    T. S.
    Senior Qa Engineer
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    A. M.
    Senior Talent Acquisition
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    A. S.
    Senior Software Engineering
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    D. D.
    Advisor
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    M. O. T.
    Member Of The Technical Advisory Board
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    O. R. R. C.
    Software Engineer In Test
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TeamStation AI Careers Employee Metrics

100%
50%
0%
2026
2025
  • Engineering
  • Quality Assurance
  • Accounting
  • Information Technology
  • Research
  • Other
  • Analytics

Contact profiles from TeamStation AI Careers

Name
Title
Contact Info
Location
Last Update
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    A. C.
    Full Stack Engineer
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    MexicoMexico City
  • Stylized image of a person
    K. F.
    Asesora De Imagen
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    Oct 23, 2024

Frequently Asked Questions

What is TeamStation AI Careers known for?

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TeamStation AI Careers was founded in 2017 operates in the Software Development industry. The company's main headquarters is located in 77 Sleeper Street Boston, Massachusetts 02210 United States. Explore TeamStation AI Careers's company overview page for more information.

What is TeamStation AI Careers's most common email format?

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TeamStation AI Careers employees' email format typically follows the pattern of . Trying to find reliable and up-to-date employee contact data? Find more TeamStation AI Careers email formats with LeadIQ.

How many employees does TeamStation AI Careers have currently?

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TeamStation AI Careers has approximately 34 employees as of April 2026. These team members are located across 3 continents, including North AmericaSouth AmericaEurope.

Who are TeamStation AI Careers's key employees and leadership?

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As of April 2026, TeamStation AI Careers's key employees include:

  • Platform Engineering Lead: E. A. D. C. L.
  • Principal Engineer: N. A.
  • Senior Qa Engineer: T. S.
  • Senior Talent Acquisition: A. M.
  • Senior Software Engineering: A. S.

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