Careers at LinknWin — Do the Most Interesting Work of Your Career
Join a team of certified AI and data practitioners working on high-stakes projects for Fortune 500 organizations. Remote-friendly, certification-sponsored, and built for people who want to keep growing.
Why Work at LinknWin
We are a small, expert team where every person does meaningful work and every voice shapes how we grow. Here is what that looks like in practice.
Cutting-Edge Projects
Work on agentic AI systems, lakehouse architectures, and clinical data products for Fortune 500 clients in healthcare, fintech, and pharma. Every engagement is an opportunity to build something that matters at enterprise scale.
Certifications Sponsored
AWS, GCP, Databricks, and MIT Sloan AI certifications are fully sponsored for team members. We invest in your credentials because your expertise is what makes our engagements exceptional.
Remote-Friendly
A distributed team with flexible work arrangements and a strong async culture. We hire for capability and trust team members to manage their time and deliver outstanding results from wherever they work best.
Growth & Mentorship
Direct access to senior architects and 21+ years of enterprise consulting knowledge. At LinknWin, you are not a resource in a large firm — you are a valued contributor learning alongside experienced practitioners.
Current Openings
We are actively looking for practitioners who are great at their craft and want to work on problems that matter.
Data Engineer
Design and build production-grade data pipelines on Databricks, Snowflake, and AWS/GCP. Experience with dbt, Airflow, and Delta Lake preferred.
Apply for this roleML Engineer
Build and deploy machine learning models into production environments. Strong Python, MLflow, and cloud ML platform experience required.
Apply for this roleAI Consultant
Lead AI strategy engagements and advisory projects for Fortune 500 clients. Combines technical depth with executive communication and client management skills.
Apply for this roleData Scientist
Develop statistical models, predictive analytics, and data science solutions for enterprise clients. Strong foundations in ML, statistics, and business problem framing.
Apply for this roleHealthcare IT Specialist
Support healthcare data product implementations including FHIR, HL7, clinical data pipelines, and HIPAA-compliant infrastructure for health system clients.
Apply for this roleData Annotation Specialist
Perform precision data labeling for AI training datasets across healthcare, NLP, and computer vision domains. Attention to detail, domain knowledge, and QA discipline are essential.
Apply for this roleHow to Apply
Send your resume and a brief note about what excites you to careers@linknwin.com. We respond to every application within 5 business days. No recruiters, no automated screening — a real human reads every message.
What to include in your email:
- Your resume or LinkedIn profile link
- Which role you are applying for
- A brief note (3–5 sentences) on what excites you about working at LinknWin
- Any relevant certifications, projects, or portfolio work
Ready to Join the Team?
We would love to hear from you. Send us your resume and a note about what excites you — we respond to every application within 5 business days.