Note: The job is a remote job and is open to candidates in USA. Hire Tomorrow is seeking a Principal Product Manager, Platform to build and execute a roadmap for customer-facing platform capabilities in the log analytics and data platform market. The role owns competitive analysis, platform prioritization and metrics, and collaboration with engineering and go-to-market teams to turn platform investments into customer and business outcomes.
Responsibilities
- Own the core platform roadmap — reliability, scalability, authentication, and provisioning, for customers and partners, supporting the next order of magnitude of ingested data
- Drive the platform product decisions behind ongoing strategic bets: what does it mean to make our key customer journey loops faster and easier, and how does the future of the platform reflect that priority?
- Own ongoing competitive analysis against the vendors our customers evaluate us against — Clickhouse, Snowflake, Databricks, Elastic — and translate those findings directly into platform prioritization decisions: where we're losing, where we're ahead, and what we build to close the gap. This isn't a quarterly slide deck; it's a continuous input into sequencing
- Implement and iterate on a cross-functional SDLC that ensures Sales Engineering and Customer Success are never learning about platform changes at the 11th hour; then improve and iterate on that process
- Make core engineering's work legible to the rest of the business: write the narratives that connect platform investments to customer outcomes and business metrics
- Partner with engineering leadership on the sequencing decisions that create or enable future product options — you're not just prioritizing a backlog, you're making architectural bets
- Define and track the platform metrics that matter: onboarding time, support escalation rate, operational incident volume, time-to-value for new customers and partners
Skills
- Extensive experience in product management, with meaningful time on data or analytics platforms, data warehouse or transformation tooling, infrastructure, or developer/operator-facing products
- Technical foundation strong enough to earn engineering trust — you've worked closely enough with distributed systems, data infrastructure, or cloud platforms to credibly provide feedback and discuss trade-offs around scope and sequencing
- Systems thinker who sees how platform decisions today create or foreclose options for product teams building on top of them tomorrow
- Clear, structured writer; platform work is invisible until it breaks; your job is to make it legible before that happens
- Significant experience developing platform in an Enterprise SaaS or cloud data firm
- Experience building the operational discipline — processes, communication rhythms, cross-functional templates — that lets an engineering-led company grow without losing coherence
- Direct experience working inside a competing data platform is required — Clickhouse, Snowflake, Databricks, Elastic, Splunk, or a comparable log/event analytics vendor. You should be able to explain from the inside how those products make architectural decisions, where they win against us, and where they don't
- Experience building the platform scaffolding for AI-native workflows — MCP integration, agentic tool design, or the infrastructure layer that makes LLM applications production-ready at enterprise scale
- Familiarity with cloud infrastructure, SaaS multi-tenancy, or Kubernetes-based deployments
- Experience at a company transitioning from high-touch enterprise delivery to self-service or product-led growth
Benefits
- Remote - US Based
Company Overview