Jobs at LanceSoft

1,089 open positions

LanceSoft is a fast‑growing enterprise software firm that builds AI‑driven analytics platforms for Fortune 500 brands. The company is recognized for its cloud‑native solutions, predictive modeling tools, and a developer‑first approach that empowers clients to turn data into actionable insights.

Typical hiring focuses on software engineers, data scientists, DevOps specialists, product managers, UX designers, QA engineers, cybersecurity analysts, and sales engineers. Candidates can expect flexible remote options, competitive salary bands, equity packages, comprehensive wellness benefits, and a culture that rewards continuous learning and cross‑functional collaboration.

Exploring LanceSoft listings on Job Transparency gives you an edge by revealing real salary ranges, employee sentiment scores, time‑to‑hire metrics, and hiring velocity. Armed with this information, you can benchmark offers, negotiate confidently, and choose roles that align with your career goals.

Frequently Asked Questions

What’s it like to work at LanceSoft?
LanceSoft fosters a collaborative, merit‑based environment where innovation is encouraged and ideas can move from concept to deployment in a matter of weeks. Employees enjoy flexible schedules, remote‑first policies, and an emphasis on professional growth through mentorship, hackathons, and continuous education programs.
What types of positions are available at LanceSoft?
LanceSoft hires across a broad spectrum: Software Engineer (frontend, backend, full stack), Data Scientist / Machine Learning Engineer, DevOps / Site Reliability Engineer, Product Manager, UX/UI Designer, Quality Assurance Engineer, Cybersecurity Analyst, Technical Sales Engineer, and Customer Success Manager. Each role is designed to impact large‑scale data solutions for enterprise customers.
How can I stand out as an applicant for LanceSoft?
Tailor your resume to highlight measurable impact—quantify improvements in performance, cost savings, or user engagement. Showcase relevant certifications (e.g., AWS Certified Solutions Architect, TensorFlow Developer), contribute to open‑source projects, and prepare for technical interviews by practicing problem‑solving, system design, and coding challenges that emphasize scalability and real‑world application.

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