Senior Product Manager Platform

The Role:

SnapLogic's core platform is the engine the entire business runs on. It spans two tightly connected halves — the control plane that manages, orchestrates, and governs the product, and the data plane that executes integrations at scale across cloud, hybrid, and on-premises environments — plus the observability layer that makes the whole system measurable, debuggable, and trustworthy.

Today, this foundation is what makes generative integration possible: it's the infrastructure on which AI agents and MCP servers run. We're looking for a Senior Product Manager to own the strategy and roadmap for this platform — treating it as a product in its own right, with internal teams and external developers as your customers — and to ensure it delivers the reliability, scalability, security, and generative and agentic capabilities that the world's most demanding enterprises depend on.

You'll operate as the owner of a foundational technology suite, reporting to the VP of Product Management. You'll champion a "platform-as-a-product" philosophy, treating internal teams and external developers as first-class customers,  and set the multi-year direction for where the platform goes next. You'll partner closely with the AI product manager to make sure the platform keeps pace with the product's generative and agentic roadmap.Your success will show up in measurable ways: the reliability and performance our customers experience (uptime and SLO attainment across both planes), how quickly product teams can build on the platform, how readily it supports new generative and agentic workloads, how smoothly customers run in cloud and hybrid/on-premises deployments, and the cost-efficiency of operating the platform at scale.

This is a hybrid position based at our HQ in San Mateo, CA.  

What You’ll Do:

Own the platform vision. Define, evangelize, and execute a multi-year vision and roadmap for the core platform, and drive alignment across engineering, product, and executive leadership so it serves the broader business strategy.
Own the control plane. Set the direction for how the platform is managed, orchestrated, configured, and governed — including configuration and lifecycle management, safe rollout mechanics (versioning, phased rollouts, rollback), multi-tenancy, and the security and governance controls enterprises require.
Own the data plane. Drive the runtime that executes customer workloads — its performance, throughput, and resilience — across cloud-hosted, hybrid, and on-premises deployment models, including how runtime engines deploy inside customer environments and scale under enterprise load.
Own observability. Make the platform measurable and debuggable for the people who operate it. Drive the strategy for telemetry, monitoring, alerting, and SLOs/SLIs, and for the self-service troubleshooting experience that lets customers and internal teams resolve issues quickly.
Enable generative integration. Ensure the platform is the foundation on which AI agents and MCP servers run reliably and at scale. Partner with the AI product manager to translate the product's generative and agentic roadmap into the underlying platform capabilities it depends on.
Champion the developer and operator experience. Obsess over the end-to-end journey for the people who build on and run the platform. Drive the strategy for APIs, SDKs, and documentation to create a world-class, self-service experience.
Tie investment to outcomes. Author business cases that connect platform investments to measurable results — faster GTM for new products, infrastructure cost-efficiency, and improved customer satisfaction and retention.
Set and defend KPIs and SLOs. Partner with Principal Engineers on architecture decisions across microservices, data models, and APIs, and define the KPIs and service-level objectives that hold the platform to an enterprise-grade reliability bar.
Prioritize and make trade-offs. Own the roadmap and backlog, and make the hard prioritization calls that keep engineering focused on the highest-impact work.
Lead through influence. Guide cross-functional teams through the full lifecycle — discovery, experimentation, launch, iteration — and build a culture of data-driven decision-making.
Be the platform's advocate. Communicate the platform's value and direction to internal stakeholders, partners, and the market through clear writing, presentations, and thought leadership.

What We’re Looking For:

• Proven platform expertise. 5+ years of product management in B2B SaaS, with significant focus on platform, infrastructure, PaaS, or API-centric products.
• Deep technical fluency. You can hold your own in discussions about distributed systems, runtime/execution engines, microservices, data pipelines, and API design, and engage senior engineers as a credible partner. (A computer science degree is not required — relevant hands-on depth matters more.)
• Runtime and deployment depth. Experience with products that run across more than one deployment model — multi-tenant cloud, hybrid, or on-premises / agent-based — and an understanding of the trade-offs each imposes.
• Observability mindset. Familiarity with telemetry, monitoring, alerting, and SLO/SLI-driven operations, and an appreciation for the operator and administrator experience.
• Fluency in the AI/agentic landscape. A working understanding of how AI agents, LLMs, and protocols like MCP run on top of infrastructure, and a genuine interest in building the platform that makes generative integration possible. (You'll partner with the AI PM — you don't need to be the AI expert, but you should be conversant.)
• Enterprise-grade experience. A strong understanding of the security, reliability, and scalability requirements of Global 2000 customers, and a track record of shipping products that meet them.
• Business-savvy strategist. Experience building business cases, partnering with GTM teams, and linking platform investment to business outcomes and ROI.
• Customer-obsessed leader. A deep commitment to understanding and solving the real needs of your customers — internal teams, external developers, and the operators who run the platform.

Preferred qualifications:

Direct experience with application integration platforms (iPaaS), business systems integration, or API-led connectivity.
Experience with observability or monitoring products, or with platform reliability / SRE-adjacent collaboration.
Experience with hybrid-cloud or agent-based deployment models in regulated or security-sensitive enterprises.
Experience building or operating infrastructure for AI/ML or agentic workloads — for example, supporting LLM-based applications, AI agents, or MCP servers in production.
An entrepreneurial streak — taking products from concept to launch in ambiguous environments.
Comfort acting as a product evangelist with technical audiences, customers, and at industry events.
A blend of high-growth startup and large at-scale technology company experience.