This unique opportunity will report to the Head of Engineering.
CultivatePeople is a compensation software startup that helps companies pay their employees fairly! After launching Kamsa in 2020, we’ve had tremendous traction (doubling revenues every year)! Our clients have included Spotify, Peloton, MasterClass, Ruggable, and many more.
- Establish, grow, and analyze the data of Kamsa, our compensation software
- Define best practices and thought leadership around how handle data ingestion and processing
- Partner with Customer Success, Product, and Engineering teams to derive requirements and drive results.
- Execute across development life-cycle: formulation, modeling, evaluation, and deployment of data features to production
- Research, evaluate and implement statistical methods to track metrics
- Quick prototyping using frameworks like Python/Spark
- Stay current on tech industry, compensation and research trends, positionings, and customer needs.`
- Develop creative methods for compiling, preparing, and presenting compensation data for fast growing tech startups and emerging companies.
Job Requirements and Qualifications:
- Bachelor’s degree in related field (e.g., Computer Science, Statistics) or equivalent industry expertise
- 3+ years experience in ETL, relational db tools, nosql, stream processing, cloud computing
- Experience coding in Python is a must
- Familiarity with a variety of deployment environments, especially AWS
- Strong experience with SQL and be able to write programs to extract and transform data from relational databases or other sources such as Hadoop/Hbase
- Comfortable working with Hadoop and related tools such as hbase, hive, kafka, spark platform, etc.
- Experience with data visualization and usage of visualizations to articulate and clarify findings
- Proven track record of translating real-world problems into successful data science or engineering projects.
- Exceptional attention to detail, including ability to perform processes with precision
- Ability to work under pressure, multi-task, prioritize, problem-solve, and adapt quickly to a fast-paced environment
- Proactive and a quick learner with a “can-do” attitude
- Superb organizational, communications, and interpersonal skills
- Ability to regularly work collaboratively and take initiative in a quickly growing environment
- Advanced skills in Google Workspace (Suite), including experience using Google Sheets
- Work experience in startup(s), high tech and/or software industry a plus
We are a compensation software and consulting firm founded in 2017 by D.C. native, Lola Han. With a white-glove approach, CultivatePeople makes compensation painless. As thought partners, we introduce progressive, globally proven practices, including a new software, Kamsa, that provides global market compensation data and enhances pay equity and transparency in the workplace.
Are you someone who is passionate about great products and has the chops with a sense of humor? Then, we want to talk to you! We’re looking for someone to help build our compensation software, Kamsa, that helps companies pay employees fairly. You'll work closely with a passionate team with no corporate nonsense and you'll be rolling up your sleeves and putting on other hats that also align with your strengths while learning, growing, thriving and having fun together!
Why You’ll Love Working at CultivatePeople
- Passion — You’ll be working with team members who love what they do, and blend the art and science of compensation to help companies pay employees fairly, painlessly
- Community — We’re all about helping companies grow and cultivate people
- We Get Shit Done — You’ll see how your contributions are impacting the company
- Appreciation — Our product, Kamsa, means ‘appreciation’ in Korean; We’re all about helping companies who invest in their most valuable asset - their people
CultivatePeople is an equal opportunity employer. Individuals seeking employment at CultivatePeople are considered without regards to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability.