Sr. Product Manager - Technical
Databricks · New York City, New York · Product · listed January 23, 2026
The shape of it
Seniority
Manager
Experience asked
5+ years
Where
Not stated
Stated pay
$156,600 – $215,250 USD
Requirements listed
10
Length
830 words
In the posting’s own words
As a Technical Product Manager , you will work closely with product managers, engineering teams, and technical field organizations to ensure the features we design and ship deliver outstanding user experiences. This role requires you to deeply understand both functional and non-functional requirements , such as performance, scalability, security, and compliance and how customers meet these requirements today. You will evaluate how these workloads are implemented on the Databricks Data Intelligence Platform and identify opportunities to improve the product experience.You will act as a bridge between technical field teams and product and engineering . Insights from customer PoCs, benchmarks, and real-world implementations will directly inform product decisions. You will also help ensure that product improvements are clearly communicated back to the field. Depending on your background, you will focus on one of two critical product areas :
What it asks for · 10
- 5+ years of experience with a strong, hands-on technical background
- Strong empathy for customers across full spectrum of Data Platform users
- Deep domain expertise in one of the following:
- Transactional databases (OLTP), cloud-native databases, or distributed systems
- Data governance, data catalogs, lineage, and access management
- Experience evaluating and comparing technologies across dimensions such as performance, reliability, governance, and compliance
- Strong Python and SQL skills
- Experience using AI-assisted development tools
- Experience with systems design and architecture
- Proven ability to work effectively across product, engineering, and technical field teams
What the job covers
- Identify and drive impactful product improvements in your domain of expertise
- Define and run performance benchmarks (OLTP focus) or governance best practices and reference architectures (governance focus)
- Shape and prioritize a meaningful product roadmap
- Support go-to-market efforts and guide product adoption
- For governance focus: define processes and mechanisms for how AI agents securely and compliantly access the Databricks Data Intelligence Platform
Tools and skills named
Data
- Databricks3×
Product & design
- Product management
- Roadmap
- User experience
Languages
- Python
- SQL
Cloud & infra
- Distributed systems
Go to market
- Go-to-market
Security & compliance
- Security
Words the posting leans on
- data11×
- product11×
- governance6×
- technical6×
- access5×
- customers5×
- experience5×
- databases4×
- focus4×
- performance4×
- platform4×
- compliance3×
- enabling3×
- engineering3×
- ensure3×
- oltp3×
Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.
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