Senior Engineer, Data Pipeline Engineering

About Us:

BoostUp.ai is the first Intelligent Revenue Management Platform built for the digital-selling and remote sales era. BoostUp solves the oldest problem in sales: the black box problem. The black box of Sales forecasting, pipelines, activity, and deals. Sales today operates on biased self-reported information and leaders are forced to use guess-work to make decisions causing forecasting slippage, lower win rates, inconsistent quota attainment, poor capacity allocation and inefficient pipeline management.

BoostUp’s AI platform brings holistic meaning to structured and unstructured sources of sales data - from emails, calendars, call recordings, transcripts, slack and such and helps sales leaders make better, more accurate decisions. Those capabilities are even more essential in the current, 100% distributed work model - which some sales teams are navigating for the first time.

BoostUp is founded by repeat SaaS entrepreneurs from Google, Yahoo & VMware and funded by top VCs. BoostUp’s market is composed of large B2B companies constituting $10B+ in initial TAM.

Experience and Skills

• You are currently working on the team managing a large scale data processing pipeline.
• You are a senior engineer, able to self-motivate and drive your work to completion.
• You have 8+ years of professional software development experience
• You have 5+ years of experience with developing data applications in Python. 
• You have a deep knowledge of building, scaling and managing a large scale real-time data pipeline (processing 100s of millions of events per day).
• You have a deep knowledge and experience working with two or more of the following.
• Large scale message queues like Kafka / Kinesis
• Real-time stream processing systems like Spark, Apache Flink, Kinesis Data Streams
• You have some experience understanding the trade-offs between scalability, reliability, developer/ops overhead and infrastructure cost of building scalable data pipelines.
• You have significant knowledge of AWS. Should have built or managed a large scale data pipeline hosted within AWS.
• You have significant experience working with either SQL based databases (PostGres, etc) or MongoDB.

Benefits 

• Full medical, dental and vision coverage
• 401(k) plan
• Take as you need vacation plan