The Community You Will Join
When you join Onehouse, you're joining a team of passionate professionals tackling innovative and technical challenges to build a data engineering product. The product management serves as the intersectional bridge between the worlds of engineering, leadership and execution: directly contributing to the success of an early but rapidly developing open source based product and concurrently defining a new industry category - the transactional data lake.
A Typical Day:
- Own multiple core product development initiatives that you'll build from the ground up from research, strategy, design, execution, and delivery.
- Define and measure product OKRs and success metrics to lead a data driven culture that ensures smooth execution of product roadmap.
- Directly manage and own customer relationships to deeply understand their needs, gather feedback, and be customer obsessed to ensure the product stays in tune with their vision.
- Collaborate cross-functionally with engineering, marketing, sales, solutions, developer relations to establish the product roadmap and team priorities.
- Research the competitive landscape and build strategic business partnerships with other leading data organizations.
- Develop GTM launch plans, pricing strategies and pilot programs for product releases.
- Drive key launches with product marketing to evangelize the product with compelling blogs, videos, demos, and presentations.
What You Bring to the Table:
- 3+ years of Product Management or TPM/PM equivalent experience.
- Demonstrated track record of shipping at least one successful data related product in the cloud.
- Ability to partner with senior technical leaders from Engineering, while going deep on technical concepts.
- Hands on technical experience with software lifecycle development processes and engineering teams.
- Familiarity with cloud data services like EMR, Redshift, Kinesis, Glue, Dataproc, BigQuery, Databricks, HDInsight, Synapse, MySQL, Postgres, Cassandra, etc.
- Exposure to open source data tools and frameworks like Apache Spark, Kafka, Flink, Presto/Trino, Hive, DBT, Airflow, Parquet, Avro, ORC etc.
- Excellent speaking skills with the ability to engage audiences large and small.
- Excellent written communication to modulate between technical engineers and C-Level executives.
-Equity Compensation; our success is your success with eligible participation in our company equity plan
-Health & Well-being; we'll invest in your physical and mental well-being by reimbursing up to 20,000 INR for your monthly insurance premium
-Financial Future; we'll invest in your financial well-being by making this role eligible for the provident fund of which Onehouse will contribute up to 1800 INR/month
-Location; we are a remote-friendly company (internationally distributed across N. America + India), though some roles will be subject to in-person requirements in alignment with the needs of the business
-Generous Time Off; unlimited PTO (mandatory 1 week/year minimum), uncapped sick days and 17 paid company holidays
-Food & Meal Allowance; weekly lunch stipend, in-office snacks/drinks
-Equipment; we'll provide you with the equipment you need to be successful and a one-time $500 (USD) stipend for your initial office/desk setup
-Child Bonding!; 26 weeks off for birthing and 12 weeks for surrogate and adoptive parents - fully paid so you can focus your energy on your newest addition
One Team
Tough & Persevering
Keep Making It Better Always
Think Big, Act Fast
Be Customer Obsessed
Top Skills
What We Do
Onehouse delivers a universal data lakehouse through a cloud-native managed lakehouse service built on Apache Hudi, which was created by the founding team while they were at Uber. Onehouse makes it possible to blend the ease of use of a warehouse with the scale of a data lake, by offering a seamless experience for engineers to get their data lakes up and running. Onehouse offers the widest interoperability for your data in the market across table formats, multiple compute engines and multiple cloud providers.
We have a stellar team of inspired, seasoned professionals including data, distributed systems, and platform engineers from Uber, LinkedIn, Confluent, and Amazon. Our product team has helped build enterprise data products at major enterprises including Azure Databricks.