Jobs at Meraki Labs

Develop high-fidelity computational models and multiphysics simulations of fusion plasmas and reactor systems. Responsibilities include modeling plasma equilibrium, stability, transport, heating, particle behavior, and reactor interactions; building reduced-order models; conducting parameter sweeps and optimization; validating simulation codes; and creating scalable HPC, GPU, and parallel workflows. The role translates simulation results into engineering requirements and reactor design decisions while collaborating with physics, engineering, controls, and experimental teams.

Architect and lead scalable infrastructure for low-latency voice and chat AI agents. Design multi-cloud distributed systems, real-time inference pipelines, and resilient production platforms. Establish reliability, observability, performance, security, and compliance practices while optimizing GPU and TPU utilization. Translate AI research into production deployments, evaluate inference technologies, mentor engineers, and guide enterprise-grade architecture across Kubernetes, MLOps, model serving, and microservices.

Research and write concise scripts for solo and guest podcast episodes, conduct in-depth guest and subject research, support outreach and coordination, and help shape editorial strategy. The role requires translating complex technical and interdisciplinary ideas into engaging narratives for broad audiences while aligning with the founder’s vision.

Partners with leadership to define and execute strategic initiatives, improve business operations, analyze performance, and develop actionable recommendations. Owns planning, OKRs, reporting, dashboards, and process improvements while leading cross-functional projects from problem framing through implementation. Advises founders on business-critical decisions, market opportunities, and growth levers in a fast-paced, in-office startup environment.

Own end-to-end go-to-market strategy for multiple stealth products spanning AI creator tools and consumer wellness. Define positioning, ideal customer profiles, messaging, launch plans, growth experiments, distribution channels, partnerships, and community-led acquisition. Collaborate with Product and Engineering to align roadmaps with market feedback. The role requires hands-on execution, including landing pages, copywriting, tracking setup, validation tests, and translating technical concepts into compelling launch narratives.

Own the production systems behind autonomous enterprise AI agents, including memory, orchestration, scheduling, model steering, latency, deployment, operator tooling, debugging, and benchmarking. Build reliable distributed or stateful systems using Python, shell, and TypeScript/Node.js. Apply strong engineering judgment to security, multi-tenant deployments, testing, observability, and AI agent limitations in a fast-moving startup.

Own end-to-end video editing for deeptech podcast episodes, including multicamera editing, cinematic color grading, motion graphics, sound design, trailers, and short-form content. Translate complex scientific and technological ideas into compelling visual narratives using B-roll, archival footage, animation, and data visualization. The role requires strong creative judgment, storytelling, ownership, and reliable delivery with minimal supervision.

Build and deploy production-grade AI tutoring workflows, including agentic tutoring, grading, retrieval and grounding, personalization, and multimodal pipelines. Optimize latency and cost, implement evaluations, observability, reliability, and safety controls, and own features from product requirements through deployment and iteration. Collaborate with product, design, and education teams to translate learning goals into effective AI behavior.

Perform final quality checks on AI-generated books, providing copyediting, line editing, structural feedback, and editorial notes. Communicate directly with authors to clarify intent and improve manuscripts. The senior editor will also handle complex manuscripts, define editorial standards, train editors, and help scale the editorial workflow.

Own the production engineering of autonomous AI agents, including memory, orchestration, scheduling reliability, tool capabilities, latency optimization, deployment, debugging, benchmarking, and operator tooling. Build trustworthy LLM applications beyond demos using strong testing, evidence-based decisions, deterministic system design, and production ownership of distributed or stateful systems. The role also involves supporting multi-tenant deployments, security, and rapid startup product development.

Own DreamBook’s product vision and 0-to-1 global launch, spanning AI-assisted long-form writing workflows, UX, publishing compliance, digital distribution, print-on-demand integration, and team building. Partner with founders and engineering leadership while defining strategy, user journeys, AI capabilities, go-to-market scaling, and product culture.

Build and own Proofline’s interactive real-time graph canvas, enabling collaborative knowledge mapping across tens to thousands of nodes. Responsibilities include designing direct-manipulation interactions, optimizing rendering performance through virtualization and semantic collapse, implementing WebSocket/CRDT collaboration, contributing across the full stack, and maintaining a minimal design system. The role requires strong product judgment, production engineering discipline, and comfort working onsite in a fast-moving founding team.

Audit an AI Tutor’s physics and mathematics reasoning, accuracy, pedagogy, tone, and learning guidance. Oversee curriculum progression, LMS lesson structure, concept mapping, and knowledge graph refinement. Translate teaching expertise into actionable feedback for prompt engineers, identify gaps in handling creative student approaches, and help measure learning gains and educational efficacy.

Own Proofline’s Python microservices backend platform, production reliability, deployment, observability, monetization systems, enterprise readiness, and tier strategy. Lead and mentor a four-engineer Bengaluru team, establish engineering standards, review backend and AI-generated code, manage roadmap delivery with the founder, and support hiring. The role requires strong cloud, billing, multi-tenancy, AI-assisted development, and zero-to-one product engineering experience.

Drive business operations across Meraki Labs and its portfolio companies by streamlining processes, tracking metrics and OKRs, managing vendors, supporting budgeting and forecasting, and preparing leadership reports. The role also coordinates cross-functional initiatives, improves workflows, develops scalable solutions, and supports high-priority projects in a fast-paced startup environment.

Own and build Proofline’s production retrieval and knowledge pipeline end to end. Responsibilities include document ingestion, chunking, embeddings, hybrid search, reranking, dual-corpus retrieval, provenance, citation and identifier resolution, large-corpus onboarding, and retrieval evaluation. The role requires improving quality release over release while optimizing monitoring, reliability, cost, and latency in a fast-moving, on-site founding engineering environment.

Identifies and engages educational institutions, builds partnerships, generates qualified leads, presents educational programs, manages CRM data and lead pipelines, monitors market trends, collaborates with internal teams, and achieves business development targets. The role requires extensive territory travel, stakeholder relationship management, reporting, and outreach through workshops, seminars, events, and promotional campaigns.