Megan Soft Inc.

AI Technical Product Manager - W2 - Hybrid - 328151 - FORD Motors- In-person Interview

Dearborn, Michigan, USA · Senior · Contract

Sponsorship not specifiedDetected 174 days ago

Full-Stack DevelopmentData ScienceLLMsProduct ManagementJiraSystems EngineeringCommunicationCollaboration

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odds of building a lasting career here

40Risky

Cap-exempt (no lottery)0

Sponsors this role90

Entry-level history0

PERM / green-card track0

Lottery odds40

Fits your clock70

Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Third-party placement is common here

49% of this employer's visa filings place the worker at a client company rather than at the employer itself, across 15 clients. Your visa, salary band and layoff exposure would follow the employer of record, not the client.Most common: Ford Motor Company · Remotely from Residential Address · Cisco Systems Inc.Files as an H-1B dependent employer.

Green-card follow-through: 100%

Of 7 labor certifications old enough to have been used, 0 expired without the employer filing the next step. Median time from filing to decision: 480 days.92% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Files H-1B transfers

10 transfer filings in the last year, covering 10 workers. Median labor-condition decision: 8 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

Lead adoption and evangelism of AI tools within engineering teams Identify workflow pain points and translate them into AI-driven features Build rapid prototypes using low-code/no-code tools (e.g., Streamlit, Copilot, LLMs) Develop business cases tied to KPIs such as engineering efficiency, defect detection, and time-to-market Collaborate closely with cross-functional teams including engineering, data, and product

Requirements

5 years of experience in product management or related technical roles Strong understanding of software/system development lifecycle Experience with Jira and cross-functional collaboration Exposure to
No hands-on development or UI/UX experience required, but a strong conceptual understanding is important Familiarity with taking applications into production, including productization and end-to-end project delivery

Nice to have

You are not just a manager of backlogs
you are a technical practitioner and internal evangelist.
You will use low-code/no-code tools to rapidly prototype AI-driven engineering solutions such as automated requirement analysis, synthetic data generation for testing, or predictive E/E architecture optimization.
AI concepts to improve products and processes Nice to Have:

Skills

MI (Hybrid) Duration:
Years Client:
Background in vehicle electrical/software systems (E/E architecture,
Big Data, Data Science,
Analyst, Full Stack, Artificial Intelligence & Expert Systems Experience Required:
Associate Exp:
3 to 5 years experience in relevant field

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This listing is sourced directly from Megan Soft Inc.'s careers page and normalized into a canonical job model.