Senior Product Manager
LottieFiles
Product
Posted on May 13, 2026
About the role
You'll own the LottieFiles Platform our SaaS DAM where teams store, organize, review, and ship creative assets. It's a product used by teams at Google, TikTok, Disney, and thousands of others. It's also technically dense: GraphQL underneath, a permissions system that has to get every edge case right, workspace and account models, auth flows, and a dozen sub-systems that have to play nicely together.
You don't need to be an engineer. You do need to think like one when the situation calls for it.
What you'll do
- Own the roadmap for Platform like workspaces, collaboration, asset management, sharing, search, and the surfaces customers touch every day
- Work directly in GraphQL schemas, permission models, and system diagrams when shaping a feature. Specs that ignore the data model get rewritten by engineers
- Make the right tradeoffs between shipping fast and not breaking the systems other products depend on (Creator, Workflow, integrations all sit on top of Platform)
- Drive enterprise-grade work: SSO, SCIM, RBAC, audit logs, admin controls, compliance like the things that close six-figure deals
- Talk to customers. The DAM is a product people live in for hours a day; you need to understand how their teams actually work
- Define and track the metrics that matter: activation, retention, expansion, time-to-value for new workspaces
- Partner with GTM, design, and engineering to ship launches that land
- Be the person leadership trusts when they need a straight answer about what's possible, what it'll cost, and what it'll break
What we're looking for
- 5+ years in product, with meaningful time on SaaS products that have real technical depth
- Comfort reading and reasoning about GraphQL schemas, RPC, REST APIs, auth flows (OAuth, SSO, SAML), and permission models (RBAC, sharing semantics, inheritance)
- Comfortable working across cloud providers (AWS, GCP), CI/CD pipelines, and relational databases, Postgresql preferred.
- Working knowledge of the AI stack like LLMs, embeddings, vector databases (pgvector, Pinecone, or similar), and RAG patterns.
- You've shipped collaboration or workspace features and know why they're harder than they look
- You write specs that handle the edge cases like permission conflicts, billing transitions, migration paths without hand-waving
- Strong product instincts. Technical depth is a tool, not the job. The job is shipping things customers love
- Clear writer. Specs, RFCs, launch notes, customer communications.
- Bonus: DAM, creative tools, or design platform experience; multi-tenant SaaS at scale; experience deprecating or migrating customer-facing systems without breaking trust