Product Manager- Data Acceleration
Jobgether
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This role on the market
108 open acceleration roles across 24 companies are on ApplySarthi right now, most of them in Chennai (7), Bengaluru (2).
- Senior Director, Automation Acceleration HubGsk · bengaluru
- Experienced Associate - Assurance (PwC Acceleration Center Kuala Lumpur)Pwc
- Principal Software Engineer - Engineering AccelerationRoblox
- Senior Systems Software Engineer, Compute Stack AccelerationNvidia
- Industry Strategist, Life Sciences Acceleration HubSalesforce
What acceleration roles keep asking for: AWS (33%), Python (17%), Machine learning (14%) — counted across their open postings here.
AWS jobs · Azure jobs · BigQuery jobs · Databricks jobs
Jobgether has 3,576 open roles listed here.
- AWS Data Platform Engineer
- Billing Rejection Specialist
- Business Systems Analyst, Anaplan
- CAD, Polylining and Space Business Analyst
- Director, Product Management
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for acceleration roles keep coming back to AWS, Python, Machine learning. Practise those questions before you sit with Jobgether.
Questions you are likely to be asked
- Why do you want to join Jobgether?
- What is your experience with Product management? Tell me one thing you learned the hard way.
- Tell me about a product decision you made with incomplete data.
- How do you decide what goes into the next release and what waits?
- Walk me through a feature you shipped. How did you know it worked?
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Practise the Product Manager- Data Acceleration at Jobgether interview free →Accountabilities:: As Product Manager – Data Acceleration, you will own product strategy, roadmap development, and lifecycle decisions for a portfolio of data acceleration technologies. You will work across engineering, design, user experience, and business teams to deliver scalable solutions that meet evolving customer needs and support long-term business objectives. Define and evolve product strategy for high-performance data processing and model execution across hybrid and cloud-native environments. Lead product direction for data acceleration technologies supporting high-speed model scoring, code acceleration, SAS Visual Analytics acceleration, and model training. Shape interoperability strategies for modern data platforms, lakehouse technologies, cloud databases, and open-table formats such as Parquet and Iceberg. Drive integration with cloud storage platforms, including AWS S3, Azure Data Lake Storage, and Google Cloud Storage. Align product plans with corporate strategy, business objectives, customer needs, and market opportunities. Develop and maintain product roadmaps, priorities, objectives, and key results (OKRs), communicating risks, decisions, and updates to relevant stakeholders. Lead product discovery and requirements definition by gathering and analyzing input from customers, prospects, internal stakeholders, and market research. Translate technical and business insights into clear product requirements and prioritize initiatives based on customer value and strategic impact. Collaborate with engineering, design, UX, program management, and related teams to deliver product capabilities and achieve measurable outcomes. Define product success metrics, evaluate post-launch performance, and use customer feedback, market trends, financial data, and product-health indicators to guide improvements. Develop business cases and investment recommendations to support product decisions and resource allocation. Contribute to pricing, positioning, marketing collateral, launch readiness, support readiness, and internal knowledge transfer. Represent the product externally in discussions with customers, prospects, partners, and industry stakeholders. Manage the product lifecycle, identify emerging technologies and competitive threats, and uncover new market opportunities. Promote a collaborative, innovative, and accountable approach to product development. Requirements: The ideal candidate combines product management or software engineering experience with a strong understanding of modern data ecosystems, cloud technologies, and analytics platforms. You should be able to engage in technical discussions, translate complex concepts for diverse audiences, and make informed product decisions in a collaborative, fast-paced environment. At least five years of experience in product management and/or software engineering related to data management, decision management, AI, or analytics. Bachelor’s degree or higher, preferably in data science, computer science, or a related quantitative discipline. An equivalent combination of relevant education, training, and experience may be considered. Solid working knowledge of modern data management technologies and cloud database platforms, such as SingleStore, Snowflake, Google BigQuery, and Azure Synapse. Familiarity with Spark-based environments, including Databricks. Familiarity with open-source runtimes, packages, and libraries, such as Python. Understanding of Software-as-a-Service (SaaS) and/or Platform-as-a-Service (PaaS) business models. Familiarity with cloud platform technologies and services. Ability to understand complex technical architectures and translate them into product requirements and business value. Excellent written and verbal communication skills, including the ability to engage in technical discussions with customers, partners, and industry analysts. Strong critical-thinking and problem-solving skills, with a demonstrated ability to make sound decisions in a fast-paced environment. Proven ability to collaborate effectively across global teams, multiple business units, and cross-functional stakeholders. Creative and innovative mindset, with the ability to define solutions that deliver compelling user experiences and exceed customer expectations. Ability to balance technical considerations, customer priorities, market opportunities, and business objectives when making product decisions. Legal authorization to work in the United States or Scotland without requiring current or future employment visa sponsorship. Benefits: Comprehensive medical, prescription, dental, and vision coverage. Multiple medical plan options, including a PPO plan with a low annual deductible and copays. High-deductible health plan (HDHP) options paired with a health savings account, including an employer contribution. Free on-site healthcare center access for employees and eligible family members enrolled in the PPO plan. Pharmacy services, including prescription shipping at no additional charge. Industry-leading 401(k) retirement plan. Tuition assistance and resources to support professional development. Generous vacation time and a variety of paid holidays. Annual U.S. Winter Wellness Break from December 25 through January 1. Volunteer time off. Parental leave. Unlimited paid sick days. Childcare benefits for all full-time employees. Flexible work arrangements, including hybrid and eligible remote options.
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Listed on lever · posted 2026-10-12. ApplySarthi collects openings and links to application pages; the role is advertised by Jobgether, not by us.