Product Manager, ML Platform (All Levels)
San Francisco, California
Applications have closed
Databricks
The Databricks Platform is the world’s first data intelligence platform powered by generative AI. Infuse AI into every facet of your business.While candidates in the listed locations are encouraged for this role, we are open to remote candidates in other locations.
You will be the Product Manager for the ML Platform on Databricks. Your counterpart engineering and cross-functional teams will build a best-in-class hosted ML Platform that enables customers of all sizes to deliver business impact through training and deploying ML models. This platform empowers any company in the world to harness the same technologies that drive the success of major tech companies heavily investing in their own proprietary ML platforms.
You will coordinate all product activities from vision to implementation, including engaging large enterprise customers to understand their needs, developing long-term product strategy, defining product roadmaps, working with engineering to build those products, and coordinating with various internal stakeholders (both pre- and post-launch) to ensure product success.
The impact you will have:
- Developed a deep understanding of customer needs and use-cases in the Data Science and Machine Learning domain.
- Created and communicated a competitive analysis of Data Science and ML solutions relevant to our customer's needs.
- Defined the end-to-end user experience for customer success beyond the scope of the ML Platform product and features.
- Took a feature from ideation / exploration with customers to full launch and rollout, including marketing plan and field enablement.
What we look for:
- 5+ years of Product Management or relevant Engineering Leadership position
- Educational background in computer science or related engineering practice
- Experience working with a Data Science/ML stack, including Python, Jupyter, Scikit-Learn, TensorFlow
- Understanding of Data Platforms, Machine Learning Frameworks, and common ML deployment patterns (e.g. batch scoring, online/real-time serving)
- Strong track record of delivering products with cross-functional teams common to enterprise software industry (field engineering, sales, marketing, partnerships, etc.)
- Experience in working closely with enterprise customers and channel partners in the enterprise software industry
Benefits
- Comprehensive health coverage including medical, dental, and vision
- 401(k) Plan
- Equity awards
- Flexible time off
- Paid parental leave
- Family Planning
- Gym reimbursement
- Annual personal development fund
- Work headphones reimbursement
- Employee Assistance Program (EAP)
- Business travel accident insurance
About Databricks
[Always put the boilerplate and D&I statement below for every job description]
Want to help speed the development of medical breakthroughs? Make the next mode of transportation a reality? Or discover ways to reverse climate change? We're on a mission to help data teams solve the world's toughest problems. The opportunity is huge and Databricks has emerged as a leader. Thousands of enterprises — including Comcast, Virgin Hyperloop and H&M — already rely on us to power their businesses and we're just getting started. Now it's your turn - join us to grow your career and make an impact with some of the brightest minds in the industry.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
About Databricks
Databricks is the lakehouse company. More than 7,000 organizations worldwide — including Comcast, Condé Nast, H&M and over 50% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world’s toughest problems. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Science Databricks Engineering Excel Jupyter Machine Learning MLFlow ML models Python Scikit-learn Spark TensorFlow
Perks/benefits: Career development Flex hours Flex vacation Health care Insurance Medical leave Parental leave
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Marketing Data Analyst jobs
- Open MLOps Engineer jobs
- Open Junior Data Scientist jobs
- Open Data Engineer II jobs
- Open AI Engineer jobs
- Open Senior Data Architect jobs
- Open Power BI Developer jobs
- Open Data Analytics Engineer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Sr Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Principal Data Engineer jobs
- Open Business Data Analyst jobs
- Open Product Data Analyst jobs
- Open Data Quality Analyst jobs
- Open Data Manager jobs
- Open Sr. Data Scientist jobs
- Open Big Data Engineer jobs
- Open Data Scientist II jobs
- Open Business Intelligence Developer jobs
- Open Data Analyst Intern jobs
- Open ETL Developer jobs
- Open Principal Data Scientist jobs
- Open Azure Data Engineer jobs
- Open Data Product Manager jobs
- Open Business Intelligence-related jobs
- Open Data quality-related jobs
- Open Privacy-related jobs
- Open Data management-related jobs
- Open GCP-related jobs
- Open Java-related jobs
- Open ML models-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open Deep Learning-related jobs
- Open APIs-related jobs
- Open PyTorch-related jobs
- Open Consulting-related jobs
- Open PhD-related jobs
- Open TensorFlow-related jobs
- Open Snowflake-related jobs
- Open NLP-related jobs
- Open Data governance-related jobs
- Open Data warehouse-related jobs
- Open Airflow-related jobs
- Open Hadoop-related jobs
- Open Databricks-related jobs
- Open LLMs-related jobs
- Open DevOps-related jobs
- Open CI/CD-related jobs