Overview
6sense is a Predictive Intelligence Engine that is reimagining how B2B companies do sales and marketing. It works with big data at scale, advanced machine learning and predictive modeling to find buyers and predict what they will purchase, when and how much.
6sense helps B2B marketing and sales organizations fully understand the complex ABM buyer journey. By combining intent signals from every channel with the industry’s most advanced AI predictive capabilities, it is finally possible to predict account demand and optimize demand generation in an ABM world. Equipped with the power of AI and the 6sense Demand Platform™, marketing and sales professionals can uncover, prioritize and engage buyers to drive more revenue.
A Lead Core Data Software Engineer at 6sense will have the opportunity to
Apply distributed computing and map-reduce knowledge to compute, dedupe, and derive insights from billions of records daily
Invent noise-tolerant algorithms that improve data quality and coverage
Work on scaling issues to 10x our data-handling capability over the coming year
Write custom UDFs, UDAFs, UDTFs to simplify complex operations
Design and implement tools to scrape data, validate data, and semi-automate human feedback.
Significantly strengthen your existing skills in statistics, data analysis, and programming.
Intellectually contribute to the software, data, process, and growth of other team members
Participate in writing applicable patents for your ground-breaking work
Promote and set examples for high code quality like unit testing, good variable naming, modularity, etc.
Mentor junior engineers and onboard new engineers
Provide day-to-day technical leadership for products/features you own
Own products/features at multiple levels: code, data, metrics, reduction of support frequency, etc.
Work with other teams on cross-functional, multi-team projects
Anticipate and pre-empt deployment or down-stream issues ahead of feature release
Ensure new features are properly tested at scale prior to release
Assess the strengths and limits of the current technical design, communicate, plan and prioritize improvements or redesigns to resolve those limits
Work with EM, PM on team planning and roadmap
Required qualifications and must have skills
6+ years of professional, recent coding experience in Java (ready to code in week 1)
2+ years of professional coding experience in Python
Experience with SQL with an understanding of joins, group by, partitioning, clustering, skewness, and analytic functions (ready to analyze data in week 1)
Comfortable with Unix / Linux command line
Analytical and problem-solving skills
Familiarity with basic statistics and histograms
Understanding of the map-reduce paradigm
Familiarity with Django, Django admin, Django REST Framework
Can take vague requirements and move toward an actionable design by coordinating with engineers, product managers, UX, data analysts, data scientists, QA, etc.
Experience with Big Data Platforms like Hadoop / Hive / Spark
Familiarity with docker and container platforms like Mesos and Kubernetes
Experience leading an engineering team
Experience leading by influence in multi-team, cross-functional projects
Nice to have Skills
Experience with SQL query optimization
Experience with writing Hive / Presto UDFs in Java
Familiar with many issues discussed in the book Effective Java
Application benchmarking and optimization
Multi-processing and concurrency
Interpersonal Attributes
You understand that software engineering work does not end with the code.
You can work independently but coordinate effectively with your team
You take ownership of projects and drive them to conclusion
You’re a good communicator and are capable of not just doing the work, but teaching others and explaining the “why” behind complicated technical decisions
You aren’t afraid to roll up your sleeves: This role will evolve over time, and we’ll want you to evolve with it
