Jobs at MLabs

Develop backend and data solutions while supporting daily operations, collaborating with cross-functional stakeholders, improving workflows, monitoring performance metrics, tracking milestones, solving complex challenges, maintaining documentation, and ensuring compliance. The role requires strong communication, prioritization, independent troubleshooting, and the ability to deliver high-quality outcomes in a fast-paced environment.

Lead design and implementation of high-performance agent runtimes, backend services, and self-hosted model/agent infrastructure. Build low-latency execution systems, real-time data pipelines, telemetry loops, CI/CD for zero-downtime deployments, and ensure fleet reliability on AWS/EKS.

Design, deploy, and maintain physical and cloud network infrastructure for a large-scale AI data platform. Implement IaC, virtualization, container orchestration, monitoring, and security to ensure scalable, reliable operations and integrate DevOps automation with engineering teams.

Drive liquidity growth by sourcing and managing high-value liquidity providers (institutional and on-chain), using on-chain data to target allocators, design tailored value propositions, onboard and optimize capital deployment, track TVL attribution, and build the liquidity provider growth function cross-functionally.

Lead design and build of high-performance trading infrastructure: optimize transaction landing, prevent MEV, implement proprietary routing and cross-chain solvers, deploy advanced trading features, and provide technical leadership to a small engineering team.

Inaugural DevRel Engineer responsible for end-to-end developer content, building demos and open-source templates in TypeScript, growing community across GitHub/YouTube/socials, dogfooding the platform to inform product, and representing the company at industry events.

Build and scale a developer community (digital and in-person), plan and run Bay Area meetups and hackathons, recruit speakers and partners, manage Slack engagement, and convert community activity into sales pipeline.

Design, build, deploy, and maintain AI agents to automate investment research workflows. Integrate financial tools, APIs, and data sources; implement safety guardrails; create evals and monitoring for production performance; and collaborate with product and quantitative teams to align agent capabilities with platform goals.

Design, build, and optimize a production-grade, low-latency execution engine for event-driven backtesting, paper trading, and live order routing. Implement broker/exchange integrations (REST/WebSockets), ensure state consistency, idempotency, and fault tolerance across simulated and live environments, and reduce latency/slippage while collaborating with a small, high-caliber engineering team.

Lead end-to-end product for an AI-driven quantamental investing platform. Own roadmap, agent orchestration, trading execution, playbook composition, and content distribution. Collaborate with engineering/design, run user research and data analysis, author specs, prototype, test, and ship features to position the platform as a premier AI financial product.

Lead and scale a global claims function by redesigning workflows, governance, and QA. Integrate AI with product and engineering to automate claims handling, personally adjudicate complex/high-value cases, and recruit/train elite claims teams. Own claims quality, leakage reduction, fraud detection, SLA performance, audits, and partner relationships across multiple lines of business.

Build and scale the go-to-market sales engine as the first sales hire. Own full-cycle outbound enterprise sales targeting insurers and MGAs, drive pipeline generation, close high-ACV deals ($150K+), and create repeatable processes, playbooks, and collaboration with product and operations to optimize solution-market fit.

Serve as the company's first full-time recruiter, building end-to-end hiring processes, sourcing passive and active talent, partnering with leadership across functions, creating scalable ATS/workflow systems, designing referral and onboarding programs, and closing high-caliber candidates for technical and non-technical roles.

Senior individual contributor responsible for designing and shipping core systems for LLM-powered agents, high-throughput data pipelines, provider waterfalls, and scalable distributed architectures. Own end-to-end execution, set technical standards, mentor engineers, and collaborate with leadership to drive product and technical strategy.

Build and run the go-to-market engine, own complex enterprise sales with MGAs and insurers, design outbound prospecting and qualification frameworks, collaborate with product and claims teams for feedback, and hire and scale a high-performing full-cycle sales team.

Build and own end-to-end systems powering autonomous AI sales workflows: high-throughput AI inbound SDR systems, dialer infrastructure, prospecting engines, post-interaction intelligence, and large-scale data pipelines using a modern TypeScript/React/Next.js and AWS-based stack.

Own strategic enterprise accounts end-to-end: lead onboarding and go-lives, coordinate cross-functional teams, manage SLAs and escalations, mitigate delivery risk, drive renewals and upsell, and build repeatable operational playbooks to scale account success.