We at EvoluteIQ believe in the power of transformation. We are committed to building a industry-leading technology that will revolutionize the way enterprises conduct business.
To make that happen, we need people who are generous, genuine, self-driven and collaborative. People who not only want to be a part of a fast-growing and radical thinking company, but who are kind and care--about each other. We at EvoluteIQ thrive in the company of each other and make each other a better version of ourselves every day.
Could that be you?
The EIQ Mission:
Our culture is who we are, and it defines us. We are nimble, fast, dedicated, humble and bold. We see opportunities everywhere around us to make a
"dent in the universe".
Our core fabric is Innovation! And this is not just a word, but the way of life within EvoluteIQ.
Changing the way business is done, reimagining the future of work, and enabling people to improve their quality of work every day, is a daunting task. That is what we all strive every day at EvoluteIQ. To enable everyone to automate complicated processes with their instinct and knowledge.
We make building of automation simple for everyone, so that it is not mystery for a few.
Would you like to be part of this journey?
We are looking for an experienced Technical Product Manager - Data to drive the strategy, development, and delivery of data-driven capabilities within our low-code/no-code hyper-automation platform. The candidate should have deep expertise in batch and streaming data pipelines, high-volume data processing, and enterprise-scale production deployments.
This role requires a mix of technical product management expertise, prior technical/engineering experience, and business acumen to build products that empower enterprises to process, transform, and act on data efficiently.
What you'll do at EvoluteIQ:
Product Strategy & Vision
Define and own the roadmap for data products, including ingestion, processing, storage, governance, and integration capabilities.
Ensure alignment of data product strategy with the broader automation platform roadmap.
Identify opportunities to embed data intelligence within automation workflows.
Technical Leadership
Contribute to architecture and design discussions for batch and streaming pipelines.
Define capabilities for ETL/ELT, schema evolution, and event-driven data processing with technical feasibility in mind.
Work closely with data architects and engineers to ensure scalable, production-grade data solutions.
Execution & Delivery
Translate business requirements into detailed product specifications.
Ensure compliance with data privacy, security, and governance frameworks.
Oversee product lifecycle from concept through launch and continuous improvement.
Requirements & User Acceptance Ownership
Document detailed requirements, epics, and user stories ensuring alignment with product strategy.
Define and manage user acceptance criteria (UAC) for each feature.
Act as the custodian of product quality, certifying readiness from an end-user perspective before market release.
Collaborate with QA and stakeholders to ensure delivered features meet business and customer expectations.
What will you bring to the team?
15+ years of overall experience, with several years in technical/engineering roles (data engineering, software development) and 7+ years in product management.
Strong understanding of Batch data processing (ETL/ELT workflows, scheduled jobs).
Expertise in Streaming data (Kafka, Pulsar, Kinesis, event-driven processing).
Experience with High-volume data systems (data lakes, warehouses, distributed processing).
Hands-on familiarity with Spark, Flink, Airflow, DBT, Snowflake, Databricks, BigQuery, Redshift, etc.
Experience with cloud-native architectures (AWS/GCP/Azure) and data services.
Proven experience in taking data products to production at enterprise scale.
Excellent communication and stakeholder management skills.
Good To Have:
Technical background (B.Tech/M.Tech/MS in Computer Science, Data Engineering, or related Field.
Hands-on experience with distributed data processing frameworks (Hadoop, Spark, Flink).
Understanding of data governance, lineage, and observability.
Exposure to low-code/no-code data integration tools.
Familiarity with real-time analytics and AI/ML data pipelines.
What We Offer
Opportunity to shape the strategy of a next-gen hyper-automation platform.
Work with a cross-disciplinary team in a fast-growing, innovation-driven environment.
Competitive compensation and growth opportunities.
A culture of innovation, ownership, and continuous learning.
Ready to take the next step in your career journey with us? Apply now and become part of a dynamic team that values expertise, collaboration, and a positive work culture!
Don't Meet Every Requirement? We Still Want to Hear From You!
Please go ahead and apply anyway.
We know that experience comes in all shapes and sizes and passion can't be learned. If you believe, then we would like to meet you and explore that belief!
We value a range of diverse backgrounds, experiences, and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, colour, religion, sex, sexual orientation, gender identity and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes.
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