Forward Deployed Engineer

Mem0 • San Francisco, CA

5d • Onsite

About The Position

Role Summary:
Be the technical owner of each customer integration. You’ll embed with customers to understand their product, map requirements, and make Mem0 work in their stack—from first proof-of-concept to production and beyond. You’ll design and build integrations, troubleshoot issues in the wild, and loop real customer needs back into Mem0’s roadmap. This is a hands-on engineering role with strong customer presence.
What You'll Do:
Own onboarding & integration: Plan and deliver deployments, set up environments/keys/tenants, and guide customers through Mem0 SDKs (Python/JS), and REST APIs.
Translate needs → solutions: Run technical discovery, define data models and privacy constraints, and design integration architectures that fit the customer’s app.
Prototype fast, harden to prod: Build reference implementations/POCs, then productionize with tests, observability, and safe rollout plans.
Solve issues in the field: Debug auth/SSO, schema mapping, rate limits, and latency; optimize caches, queries, and memory/retrieval settings for real workloads.
Operate with customers: Set SLIs/SLOs, add dashboards and alerts, write runbooks, and handle incident triage through to root cause and fix.
Bridge to Product & Eng: Capture structured feedback, file crisp tickets/specs, and influence the roadmap with repeatable patterns from deployments.
Enable & educate: Write docs, sample code, and playbooks; run workshops so customer teams can self-serve and scale.

Requirements

• 3+ years as a software engineer in customer-facing integration/solutions/forward-deployed roles.
• Strong coding in Python and TypeScript/JavaScript; comfortable touching Next.js/React frontends and Django/FastAPI/Node backends.
• Proven experience integrating SaaS platforms: REST/GraphQL APIs, webhooks, auth (OIDC/SAML/JWT), and event flows.
• Practical knowledge of LLM/RAG concepts and vector databases (e.g., FAISS/Milvus/Pinecone); able to tune retrieval/memory settings for quality and latency.
• Solid debugging across network/auth/data layers; SQL proficiency and performance profiling basics.
• Excellent communication with both engineers and non-technical stakeholders; clear docs, clear calls, clear decisions.
• High ownership: you manage timelines, unblock dependencies, and land successful go-lives.

Nice To Haves

• Prior Forward-Deployed / Solutions / Sales Engineering experience.
• Privacy & compliance awareness (PII handling, data residency, audit trails).
• Cloud & ops familiarity: AWS, Docker, CI/CD; comfortable reading k8s configs and production dashboards.
• Experience creating SDKs/CLIs, sample apps, or templates used by external developers.
• Observability stack experience (OpenTelemetry, Datadog, Grafana/Prometheus).
• Change management and training: running enablement sessions, writing customer-ready guides.

Responsibilities

• Own onboarding & integration: Plan and deliver deployments, set up environments/keys/tenants, and guide customers through Mem0 SDKs (Python/JS), and REST APIs.
• Translate needs → solutions: Run technical discovery, define data models and privacy constraints, and design integration architectures that fit the customer’s app.
• Prototype fast, harden to prod: Build reference implementations/POCs, then productionize with tests, observability, and safe rollout plans.
• Solve issues in the field: Debug auth/SSO, schema mapping, rate limits, and latency; optimize caches, queries, and memory/retrieval settings for real workloads.
• Operate with customers: Set SLIs/SLOs, add dashboards and alerts, write runbooks, and handle incident triage through to root cause and fix.
• Bridge to Product & Eng: Capture structured feedback, file crisp tickets/specs, and influence the roadmap with repeatable patterns from deployments.
• Enable & educate: Write docs, sample code, and playbooks; run workshops so customer teams can self-serve and scale.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed