Presales Consultant

At Decube, we're not just developing a platform; we're redefining how enterprises approach data health and quality. Our cutting-edge data observability platform empowers data teams to proactively manage and maintain the integrity of their systems, ensuring optimal performance and reliability. By preventing data quality incidents, we enable our clients to concentrate on driving revenue and innovation, rather than getting bogged down by day-to-day data challenges.

Founded in 2022, Decube is the brainchild of seasoned experts in Data and Technology, boasting decades of combined industry experience. Our goal? To revolutionize data governance and observability for enterprises across the globe, helping them harness the full potential of their data assets.

We're looking for innovative minds, problem-solvers, and individuals who are as passionate about data as we are. If you're ready to make a significant impact in a dynamic, fast-paced environment, Decube is the place for you.

About the Role

The Pre-Sales Consultant will act as the technical bridge between Sales, Product, Engineering, and Customers. This role is critical in articulating Decube’s value around data trust, lineage, observability, and AI-readiness, while ensuring prospects clearly understand how the platform fits into their existing data ecosystem.

The individual will own technical validation during the sales cycle, from product demonstrations to Proof of Concept (POC) execution, ensuring success criteria are well-defined, measurable, and aligned with customer outcomes.

Key Responsibilities

Product Demonstrations

• Deliver high-impact, role-based product demonstrations tailored to technical and business stakeholders (Data Engineering, Data Governance, Analytics, Security, and Leadership).
• Customize demos to align with industry-specific use cases (Financial Services, Healthcare, Telecom, etc.).
• Clearly articulate Decube’s differentiators across data lineage, data catalog, data quality, observability, and AI trust.
• Handle deep technical questions related to architecture, deployment models, scalability, and security.

Proof of Concept (POC) Ownership

• Design, execute, and manage end-to-end POCs aligned with customer requirements.
• Define clear POC scope, timelines, milestones, and success metrics in collaboration with Sales and the customer.
• Configure the platform, onboard data sources, and demonstrate real-world workflows.
• Proactively manage risks, blockers, and dependencies to ensure POC completion within agreed timelines.
• Present POC outcomes, findings, and ROI to customer stakeholders.

Technical Liaison & Collaboration

• Act as the primary technical point of contact between customers and internal technical teams (Engineering, Product, Support).
• Translate customer technical requirements into actionable inputs for internal teams.
• Coordinate with Technical Support during POCs and early deployments to resolve issues quickly.
• Provide structured feedback from the field to influence product roadmap and enhancements.

Define and Track Success Criteria

• Work with customers to define clear, measurable success criteria for demos and POCs.
• Align success criteria with business outcomes such as compliance readiness, reduced incident resolution time, improved data trust, or AI enablement.
• Ensure all stakeholders agree on acceptance criteria before POC initiation.
• Track progress against success metrics and communicate status transparently.

Additional Responsibilities

• Support Sales in technical discovery sessions to qualify opportunities early.
• Assist with RFPs, RFIs, security questionnaires, and architecture reviews.
• Create reusable demo assets, POC templates, and technical documentation.
• Help enable Sales and Partners with technical training and enablement material.
• Stay current with trends in data engineering, metadata management, AI/LLM adoption, and enterprise data architectures.
• Participate in post-sales handover to ensure a smooth transition to implementation teams.

Required Skills & Experience

• 5+ years of experience in Pre-Sales, Sales Engineering, or Technical Consulting roles.
• Strong understanding of data platforms, data warehouses, data lakes, and modern data stacks (Snowflake, Databricks, BigQuery, etc.).
• Hands-on exposure to data lineage, metadata management, data quality, observability, or governance concepts.
• Ability to communicate complex technical concepts clearly to both technical and non-technical audiences.
• Experience working with enterprise customers, preferably in regulated industries.
• Comfortable working in US time zones and collaborating with global teams.

Additional Information

• Compensation up to INR 200,000 per month