A Fast Company “Most Innovative Companies 2025” honoree, K1x is the leading data distribution platform for alternative investment tax compliance as well as the industry standard, IRS-certified solution for seamless tax-exempt filings. The fintech company’s patented, AI-powered SaaS solution digitizes and distributes tax data seamlessly–connecting investors, accounting firms, tax software, IRS and state taxing authorities–simplifying complex processes, accelerating filings, reducing costs, and delivering greater control and accessibility. K1x is battle-tested by the best, and trusted by more than 8000 organizations including 44 of 100 largest institutional investors in the US, 20 of the top 25 accounting firms, 11 of the top 100 private foundations, 45 of the top 100 university endowments, and 7 of the top 40 health systems.
Open Positions
Data Engineer
4–8+ years of data engineering experience, strong experience with data pipelines and ETL/ELT workflows, and proficiency with SQL and relational data modeling
Machine Learning Operations Engineer
5+ years of experience in software engineering, DevOps, or MLOps roles. Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent experience
Controller
4+ years of accounting experience, US GAAP knowledge, and experience with NetSuite and Excel
Data Engineer
4-8 years of experience in data engineering or backend engineering, strong experience building data pipelines, proficiency in SQL and relational data modeling, and experience with cloud-based data platforms
Controller
4+ years of accounting experience, US GAAP knowledge, and NetSuite experience required
Enterprise Account Executive
5+ years of SaaS sales experience, consultative sales style, and exceptional project management skills
Tax Analyst
3–5 years of tax experience, public accounting experience preferred, strong tax research skills
Technical Engineering Manager
8+ years of software engineering experience, 4+ years leading teams in an agile/scrum environment, and current, active experience writing production code in C#.NET and Angular
Tax Product Manager
5+ years of product management experience, strong understanding of product development processes, and excellent analytical and problem-solving skills
Machine Learning Engineer
6+ years of experience as a data scientist, Masters' or PhD in Computer Science, or related field, experience leading end-to-end data science project implementations