Jobs at Matter Intelligence

Build telemetry and observability across AI training, data, infrastructure, models, agents, and missions. The role establishes shared telemetry schemas, instruments distributed workloads and agent workflows, connects mission context to model behavior, and develops service objectives, alerts, reliability mechanisms, capacity and cost visibility, and incident tooling. Success requires correlating operational, scientific, and AI-system signals to diagnose failures and support safe deployments.

Own the insurance data-product roadmap, working with P&C carriers to identify workflows, customer needs, economics, and adoption barriers. Translate Matter’s spectral and geospatial capabilities into product requirements, packaging, pricing, ROI frameworks, and scalable deployments. Partner with science, engineering, deployment, business development, and commercial teams to prioritize features, validate product-market fit, and launch insurer-ready products for property risk assessment.

Design workflows, interfaces, prototypes, and design systems that make complex sensing and AI data clear and actionable. Lead customer research, translate analytical capabilities into intuitive product experiences, validate concepts, and collaborate with product and engineering teams through implementation. The role focuses on data-rich software, expert workflows, and operational decision-making for physical-world intelligence products.

Leads enterprise IT operations and cybersecurity for a growing aerospace and AI company. Owns identity, endpoints, networks, cloud, collaboration systems, vendors, employee support, security controls, monitoring, incident response, compliance readiness, asset management, access reviews, and risk reduction. The role requires onsite leadership in San Francisco and experience scaling IT and security programs in regulated or sensitive environments.

Build production AI and agentic workflows that combine physics-informed models, LLMs, VLMs, scientific data, retrieval, memory, and deterministic rules. Develop secure, durable systems with evidence-backed outputs, permissions, auditability, human approval, and recovery capabilities. Evaluate performance for task success, scientific validity, safety, latency, cost, and human intervention while partnering with product and design teams to deliver customer-facing intelligence tools for operational decision-making.

Provides deep subject-matter expertise, strategic guidance, technical advice, data analysis, research, and actionable insights. The SME collaborates cross-functionally with teams and stakeholders, supports training and documentation, and contributes to quality assurance in a high-tech geospatial AI environment.

Build production AI and agentic workflows combining physics-informed models, LLMs, VLMs, scientific data, retrieval, memory, tools, and deterministic rules. Develop secure, durable systems with permissions, auditability, human approval, evidence lineage, and recovery capabilities. Evaluate system performance for task success, groundedness, safety, latency, cost, and scientific validity. Partner with product and design teams to deliver customer-facing intelligence products supporting operational decisions.

Build versioned datasets, benchmark suites, simulation environments, and evaluation infrastructure for AI models and agents. Develop reproducible testing across accuracy, robustness, safety, calibration, latency, cost, and operational outcomes. Convert field and customer failures into durable test cases, adversarial evaluations, and environment scenarios. Establish release gates and communicate evidence, uncertainty, capability, and residual risk. The role requires strong statistical and experimental foundations, Python and machine-learning framework fluency, and software engineering discipline.

Leads product strategy, roadmap development, customer requirements, deployment planning, and cross-functional delivery for technically complex sensing and intelligence products. Establishes readiness criteria, operating handoffs, performance feedback loops, and prioritization processes to move customer pilots into repeatable deployments. Requires strong product leadership in complex hardware, data, analytics, or software environments, with onsite work in San Francisco.

Lead Matter Intelligence’s government and strategic business development across Indo-Pacific markets, initially Japan and South Korea. Build country strategies, government and industry relationships, partner ecosystems, qualified pipelines, capture plans, proposals, negotiations, and contract conversions. Translate sensing and intelligence technologies into mission-specific opportunities, coordinate technical and commercial teams, navigate procurement and compliance requirements, and develop sovereign or locally integrated solutions. Extensive regional travel and engagement with defense, intelligence, aerospace, space, and civil-government stakeholders are required.

Lead recruiting strategy and execution across technical, operational, and leadership roles. Partner with executives and hiring managers on role definition, interview design, evaluation, and hiring decisions. Build scalable recruiting operations, sourcing pipelines, candidate communications, hiring metrics, employer branding, offer processes, onboarding handoffs, and people processes for an early-stage technical company.

Own Matter’s brand, communications, content, social media, public relations, executive visibility, events, website, and cultural presence. Translate complex aerospace, AI, hardware, and sensing technology into compelling stories for engineers, investors, customers, journalists, and the broader technology ecosystem. Build the CEO’s public profile, generate earned media, support recruiting and fundraising narratives, and create momentum around technical milestones. The role requires exceptional writing, taste, technical fluency, creativity, speed, and high agency in an onsite San Francisco environment.

The Data/ML Infrastructure Engineer builds and operates data infrastructures for processing drone and orbital sensing data, ensuring reliability, observability, and performance while collaborating with research and product teams.

Work directly with the CEO to translate company priorities into actionable operating plans, drive cross-functional strategic initiatives, remove bottlenecks, build lightweight processes, support leadership/board materials, and own special projects to improve execution across engineering, commercial, finance, legal, and operations.

Lead Matter's go-to-market and commercial strategy: turn customer problems into repeatable operational-intelligence products, own pilot-to-production paths, close strategic enterprise deals, build and operate the commercial organization, create pricing/packaging, demos, account planning, and revenue operating rhythms in partnership with the CEO.