Product Manager

Databahn is looking for a Product Manager - Product Operations to drive operational rigor, pricing strategy, margin optimization, and roadmap governance across our Security Data Fabric platform.
The core responsibilities for the job include the following:
Intake and Roadmap Governance:
Own the centralized intake process for: Customer feature requests, Sales-driven enhancements, and Strategic initiatives.
Define clear evaluation criteria across: Revenue impact, Margin implications, Cost-to-serve impact, and Strategic alignment.
Establish roadmap governance frameworks and prioritization cadences.
Ensure trade-off transparency across Engineering, Finance, and Sales.
Maintain visibility into committed vs. exploratory work.
Proof Of Value/Concept Production Tracking:
Define and operationalize a structured POC lifecycle: Qualification criteria, Success metrics. Engineering investment thresholds, Exit criteria.
Track all POCs from inception through: Technical validation, Commercial validation.
Production deployment Measures: Conversion rate from POC to production, Engineering effort vs. revenue realized, Margin impact of custom implementations.
Prevent one-off solutions from becoming margin liabilities.
Cost-to-Serve Visibility:
Build frameworks to quantify cost-to-serve across: Data ingestion, Storage, Compute, Routing and enrichment, Customer-specific configurations.
Develop dashboards to track: Cost per GB ingested, Cost per routing workload, Cost per customer segment.
Partner with Finance to: Align pricing with infrastructure realities, Track gross margin by feature and customer, Improve forecasting accuracy.
Own Databahn's pricing and packaging strategy:
Design scalable pricing models (usage-based, volume-based, tiered) aligned to: Data ingestion volume, Throughput, Transformation workloads, and Infrastructure cost drivers.
Conduct pricing experiments and elasticity analysis.
Partner with Sales on enterprise deal structuring.
Support custom pricing models while protecting margin integrity.
Conduct win/loss analysis with pricing competitiveness insights.
Margin Optimization:
Analyze cost drivers across: Data ingestion, Storage, Compute, Routing and enrichment.
Collaborate with Engineering to: Improve architectural efficiency, Reduce infra-spend per workload, Increase automation.
Identify and execute initiatives that expand gross margins.
Track and improve margin performance at the following levels: Feature level, Customer segment level, and Enterprise account level.
Core Product Management:
Own roadmap prioritization balancing: Revenue impact, Margin expansion, Customer enhancements, and Strategic platform investments.
Translate pricing and operational insights into clear product requirements.
Drive structured PRD creation and release documentation.
Use modern AI-assisted tools such as Cursor to Accelerate documentation, Analyze customer feedback, Model pricing scenarios. Summarize operational datasets.
Ensure high execution velocity with operational discipline.
Customer and Market Engagement:
Work closely with Sales to structure large enterprise deals.
Monitor trends across: Security data platforms: SIEM vendors, Observability pipelines.
Maintain awareness of AWS, GCP, and Azure cost structures.
Partner with Customer Success on: Renewal strategy, Expansion pricing, and Margin protection in upsells.
Cross-Functional Leadership:
Collaborate deeply with:
Engineering - Cost efficiency, scalability, and architecture decisions.
Finance - Margin modeling, forecasting, cost transparency.
Sales - Deal strategy, pricing approvals, POC governance.
Customer Success - Renewal economics and expansion efficiency.
Serve as the internal authority on: Product monetization, Cost-to-serve economics, Operational product governance, Pricing strategy and margin health.
Requirements:
Bachelor's degree in Computer Science, Engineering, Business, or a related field.
6+ years of product management experience in B2B SaaS, infrastructure, or platform products.
Experience in Product Operations, roadmap governance, or revenue operations alignment.
Experience in security, SIEM, or observability platforms.
Strong analytical skills with experience in pricing and margin analysis.
Understanding of distributed systems, APIs, and cloud-native architectures.
Experience owning cross-functional execution across Engineering, Sales, and Finance.
Strong written communication skills and experience creating PRDs.
Experience using AI-assisted tools (e. g., Cursor) in product workflows.
Preferred Qualifications:
Experience in usage-based SaaS pricing models.
Experience in observability platforms.
Familiarity with cloud cost modeling (AWS, GCP, Azure).
MBA or background in finance or business strategy.
Startup experience in high-growth, high-scale environments.

Experience
6-10 yrs