Senior Data Engineer, Productiv
$170-190k
More information about location
Management platform for SaaS products
Open for applications
Management platform for SaaS products
101-200 employees
Open for applications
$170-190k
More information about location
101-200 employees
Company mission
To unlock the power of data to drive productivity at work.
Role
Who you are
- Strong experience designing and implementing ETL/ELT data pipelines using modern data stack technologies (e.g., Redshift, Athena, Presto, DynamoDB)
- Expertise in data modeling and designing scalable storage solutions for analytics and reporting
- Strong proficiency in SQL, NoSQL, and Javascript
- Experience with monitoring, logging, and alerting for data systems to ensure proactive issue resolution
- Experience with data migration to-and-from S3, DynamoDB, Redshift, and Athena
- Ability to quickly diagnose and resolve issues in data pipelines and infrastructure
- Experience automating and streamlining data workflows to improve efficiency and reliability
- Strong grasp of software engineering best practices, including testing, CI/CD, and documentation
- Ability to translate business requirements into technical solutions, working closely with product, engineering, and business teams
- Strong communication skills, able to articulate technical concepts and trade-offs to both technical and non-technical audiences
What the job involves
- We are looking for a Senior Data Engineer to design, build, and optimize scalable data pipelines that power our analytics and business operations
- You will play a key role in ensuring data quality, performance, and reliability while working closely with cross-functional teams to align data solutions with business needs
- Design, build, and maintain scalable, efficient, and reliable data pipelines (ETL/ELT) to process large volumes of data within agreed timelines
- Ensure data integrity and quality across all data pipelines through best practices in validation, monitoring, and error handling
- Implement monitoring, alerting, and logging systems to proactively identify and resolve issues
- Design and optimize data models and storage solutions for long-term scalability, cost efficiency, and performance
- Collaborate with cross-functional teams (engineering, product, business) to ensure data solutions align with business needs and technical goals
- Continuously improve data engineering processes and standards, identifying gaps and implementing best practices
- Troubleshoot and resolve complex data issues, anticipating potential failure points and mitigating risks
- Mentor and provide technical leadership to peers and junior team members, fostering alignment and collaboration within the team
Our take
As more products move to a SaaS model, businesses are dealing with an increasingly large SaaS portfolio that can be troublesome to keep track of and ensure efficiency of use. With hundreds or even thousands of apps for a multitude of purposes, a spreadsheet won’t cut it if you’re looking for useful insights. This is where Productiv has found its market niche, by creating a platform for managing a SaaS portfolio of any size.
Other similar platforms are out there, such as Zylo and BetterCloud but what makes Productiv unique is its advanced data-driven analysis offering insights into the bigger picture, to identify usage patterns, streamline SaaS services by reducing redundant apps, and providing data needed to encourage use of services amongst employees.
Productiv has the backing of several investors, and its service is already being used by big name clients such as Fox, Glassdoor, Kayak, Uber and Zoom. In 2024, the company launched Sidekick, an AI assistant for SaaS management which stands out from competing chatbots due to its domain expertise and ability to understand the "intent" of questions.
Freddie
Company Specialist at Welcome to the Jungle
Insights
45% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Mar 2021
$45m
SERIES C
Oct 2019
$20m
SERIES B
Total funding: $73m
Company benefits
- 401K plan
- Health insurance 100% paid for workers and their families
- Generous vacation time and sick time
- Health insurance
Company HQ
University South, Palo Alto, CA
Leadership
Jody Shapiro
(Board Member & CEO)Jody is an experienced product management and engineering management executive. Prior to Productiv, Jody worked for google as the lead for Google Analytics 360.
Munish Gandhi
(CEO & Co-Founder)Prior to founding Productiv, Munish Gandhi led Sales Operations for LinkedIn’s Sales Navigator business as the COO for the Americas, where he was responsible for scaling revenue growth.
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