Senior Product Manager – Cloud Database & Integrations

Responsibilities

• Own the end-to-end product roadmap for Ditto's cloud database, defining how data is stored, queried, and managed to support enterprise-grade operational workloads at scale
• Own the data flow story for Ditto Cloud — how data moves in, through, and out of the system — including connector ecosystem strategy (CDC, MongoDB, Oracle, and beyond), ingestion patterns, and sync semantics across the edge-to-cloud boundary
• Define and maintain customer-facing database SLAs covering durability, throughput, latency, and consistency; partner with SRE and engineering to instrument, operationalize, and continuously raise the reliability bar
• Own the data migration story, enabling customers to adopt Ditto or evolve their data model without data loss or operational disruption
• Engage directly with enterprise customers — developers and DBAs — to deeply understand workload patterns, integration requirements, and data integrity expectations, and translate those into clear, well-scoped product requirements
• Serve as the go-to voice on the customer data layer inside engineering, actively shaping design decisions on query performance, data lifecycle, schema guardrails, and correctness tradeoffs
• Collaborate with GTM and field teams to build scalable enablement assets — connector guides, SLA documentation, migration playbooks — that reduce per-deal friction and build customer confidence in the platform
• Define success metrics for database reliability, data flow completeness, and connector adoption, and drive accountability against them

Requirements

• Bachelor's degree in Computer Science, Engineering, or equivalent experience, with strong grounding in database systems, distributed systems, or data engineering
• 7+ years of Product Management experience, with direct ownership of a database or data platform product
• Deep technical foundation in SQL and/or NoSQL database systems — understand replication, consistency models, indexing tradeoffs, and what "correctness" means in production
• Experience defining and shipping production-grade data connectors or integration pipelines (CDC, Kafka, ETL, or equivalent)
• Ability to engage credibly with data engineers and DBAs on architecture decisions, schema design, and data integrity tradeoffs
• Track record of translating ambiguous customer workload patterns into well-reasoned, actionable product requirements
• Experience working directly with enterprise customers on complex data integration requirements, including requirements gathering and solution framing
• Strong communication skills for presenting to both technical and executive audiences, and for producing clear specs, SLA documentation, and enablement content
• US-based and authorized to work in the United States
• Willingness to travel once a quarter for company meetups and customer engagements

Nice-to-Haves

• Experience with eventually consistent or CRDT-based distributed systems
• Familiarity with edge computing, IoT, or offline-first application architectures where data residency and sync correctness are first-class concerns
• Experience defining and operationalizing database SLAs in partnership with SRE teams
• Exposure to enterprise customers in regulated industries such as retail, hospitality, logistics, or government
• Prior experience at a startup scaling a data platform across enterprise customer segments
• Experience working in remote, globally distributed teams