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IBM
San Jose, California, United States
(on-site)
Posted
3 days ago
IBM
San Jose, California, United States
(on-site)
Job Type
Full-Time
Spark Product Manager
The insights provided are generated by AI and may contain inaccuracies. Please independently verify any critical information before relying on it.
Spark Product Manager
The insights provided are generated by AI and may contain inaccuracies. Please independently verify any critical information before relying on it.
Description
Introduction
At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world.
We are looking for a Product Manager to drive critical work across our Apache Spark engine, spanning Spark SQL, Structured Streaming, the Catalyst optimizer, and lakehouse integrations. This role requires someone who understands the engine well enough to drive real improvements, not just prioritize tickets.
You will work with Spark platform engineers, data engineering, and ML infrastructure teams. Diagnosing slow stages and reading query plans is expected.
Your role and responsibilities
As a Technical Product Manager, you will drive product strategy, leveraging your deep domain expertise to identify target markets and opportunities. Your primary responsibilities will include:
Roadmap: Drive the Spark engine roadmap: Catalyst optimizer, AQE, dynamic partition pruning, Spark Connect, and native acceleration.
Lakehouse Integration: Define strategy for Spark on Delta Lake, Iceberg, and Hudi: read/write optimization, column stats, Z-order clustering, and snapshot isolation.
Structured Streaming: Drive investments in Structured Streaming: watermarking, stateful processing at scale, and latency/cost tradeoffs.
Cost & Efficiency: Partner with infrastructure on shuffle optimization, spill reduction, spot-instance resilience, and dynamic resource allocation. Track cost-per-query and job success SLOs.
Cross-Functional Alignment: Align data engineers, platform SREs, and ML teams around shared engine investments.
Required education
High School Diploma/GED
Preferred education
Bachelor's Degree
Required technical and professional expertise
Domain Experience: 10+ years of experience in the data infrastructure ecosystem, which may include roles in product management, solutions engineering, sales engineering, developer advocacy, or technical architecture within query engines, lakehouse platforms, or distributed data systems.
Product Thinking: Demonstrated ability to translate customer needs, system constraints, and performance insights into clear product requirements and roadmap priorities.
Open-Source & SQL: Experience with open-source data engines and SQL-based platforms. Familiar with open-source community dynamics, upstream contribution, and fork management.
Spark Internals: Working knowledge of Spark internals: DAG scheduler, Catalyst, Tungsten execution, exchange protocols. Able to read a query plan and diagnose a skewed shuffle.
JVM & Performance: Familiarity with JVM performance: GC pressure, off-heap memory, and the tradeoffs of native acceleration.
Lakehouse Experience: Experience with Delta Lake, Apache Iceberg, Hudi, and a solid understanding of lakehouse architecture, including implications for Spark read/write paths, query planning, and table format interoperability.
Quantitative Instincts: Comfortable with SQL, query plan interpretation, and translating benchmark data into product decisions.
Preferred technical and professional experience
Spark Community: Committer or contributor history on Apache Spark, or experience with a major Spark distribution (Databricks Runtime, EMR, Dataproc).
Spark Connect: Experience with Spark Connect or decoupled client/server Spark architectures.
ML Feature Engineering: Background in ML feature pipelines and the intersection of Spark with training data preparation.
Observability: Experience defining instrumentation strategy for distributed job platforms.
ABOUT BUSINESS UNIT
IBM Software infuses core business operations with intelligence—from machine learning to generative AI—to help make organizations more responsive, productive, and resilient. IBM Software helps clients put AI into action now to create real value with trust, speed, and confidence across digital labor, IT automation, application modernization, security, and sustainability. Critical to this is the ability to make use of all data, because AI is only as good as the data that fuels it. In most organizations data is spread across multiple clouds, on premises, in private datacenters, and at the edge. IBM's AI and data platform scales and accelerates the impact of AI with trusted data, and provides leading capabilities to train, tune and deploy AI across business. IBM's hybrid cloud platform is one of the most comprehensive and consistent approach to development, security, and operations across hybrid environments—a flexible foundation for leveraging data, wherever it resides, to extend AI deep into a business.
YOUR LIFE @ IBM
In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better.
Being an IBMer means you'll be able to learn and develop yourself and your career, you'll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.
Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do.
Are you ready to be an IBMer?
ABOUT IBM
IBM's greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.
Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we're also one of the biggest technology and consulting employers, with many of the Fortune 500 companies relying on the IBM Cloud to run their business.
At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it's time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.
IBM is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
OTHER RELEVANT JOB DETAILS
IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to:
- Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being
- Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs
- Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law
- Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals
- Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences
We consider qualified applicants with criminal histories, consistent with applicable law.
This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role.
IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.
The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year.
Job Title
Spark Product Manager
Date posted
24-Apr-2026
Job ID
106902
City / Township / Village
San Jose, Austin
State / Province
Texas, California
Country
United States
Work arrangement
Hybrid
Area of work
Product Management
Employment type
Regular
Contract type
Regular
Projected Minimum Salary per year
186,000.00
Projected Maximum Salary per year
346,000.00
Position type
Professional
Travel required
Some travel may be required based on business demand
Company
(0147) International Business Machines Corporation
Shift
General (daytime)
Is this role a commissionable/sales incentive based position?
No
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Job ID: 83379930

IBM
United States
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