Skip to content
Product Manager – Data Science and Developer Experiences
| Company | Komodo Health |
|---|
| Location | United States |
|---|
| Salary | $170000 – $265000 |
|---|
| Type | Full-Time |
|---|
| Degrees | |
|---|
| Experience Level | Senior, Expert or higher |
|---|
Requirements
- Ability to conceptualize and speak to how stakeholders in Life Science markets use data scientists and developers to help answer business questions.
- Understanding of toolsets and languages used by data scientists to accomplish professional and business objectives.
- Evangelist of user-centered design principles applied to the developer experience, which includes the demonstrated ability to evaluate and explain the value and function of well-designed interfaces such as APIs and SDKs.
- Deep appreciation of the needs of technical users: enterprise software engineers, data engineers, data scientists, etc., empathizing with their concerns when it comes to building on top of a platform as part of the software development lifecycle (SDLC) as well as integrating with 3rd party platforms.
- Likely a former engineer or data scientist, bringing a high level of technical acumen.
- Fluency with modern platform tools and technologies such as Snowflake, Databricks, Alteryx, cloud computing, AWS, Hadoop ecosystem (Spark or Trino/Presto), SQL/Python, Apache Airflow, Flyte, and tooling for developers & data scientists (SDKs, CLIs, IDEs).
- Proven ability to approach prioritization between what can be done vs what should be done.
- Ability to see the choices necessary to make to get to vision while incrementally delivering value.
- Able to join client meetings as a product expert
- Effective oral and highly visual written communication skills with the purpose of bringing clarity to complexity and communicating to inform and influence across cross-functional teams and leadership.
- A thirst for knowledge, willingness to learn, and a growth-oriented mindset.
- Committed to fostering an inclusive environment where your teammates feel motivated to succeed.
Responsibilities
- Managed an outcomes-driven roadmap of capabilities and enabled widespread adoption of the Komodo Health platform by providing value for Komodo Health and its customers.
- Driven the Developer Experience team, who will be responsible for delivering a set of IDE tools and integrations such as CLI tooling, SDKs, Libraries, ML Models, web-based development environments, and ecosystem connectors.
- Collaborated across product, engineering, and customer delivery teams to reinforce the platform approach and advocate for the needs of different types of developers, such as data scientists, data engineers, and software engineers.
- Defined and enhanced product documentation and support models for our core products using platform workflow technologies.
- Assessed Make vs Buy options to accelerate platform tools and services delivery.
- Prioritized initiatives across company business goals, data and engineering constraints, market evolution, and customer requirements, spanning from more minor features to market-shaping bets.
- Balanced our customers’ short-term needs with the development of scalable technology to maximize long-term platform potential.
- Worked with product marketing, customer success, sales, and operations to develop effective go-to-market plans and appropriate training and processes for feature launches.
- Evangelized the strategy and advocated for a shared vision that enables Komodo Health to lead in the market and integrate with the most complex technology ecosystems.
Preferred Qualifications
- Seasoned platform product manager with experience in enterprise SaaS/PaaS models to the extent that the concerns of large-scale businesses are second-nature.
- Extensive professional experience working in a product management role, exhibiting fundamental collaboration and negotiation skills with multiple stakeholders focused on building and launching complex data or machine learning-driven platform solutions.
- Experience defining requirements and building tooling for data scientists, machine learning engineers, data engineers, and/or software developers.
- Experience working in agile / scrum SDLC teams with engineering and QA to ship features and products.
