Jobs at ReflectionAI

Own recruiting operations, including candidate logistics, communications, Ashby ATS administration, reporting and dashboards, recruiting program launches, enablement, process improvement, and integration of talent operations tools. The role partners closely with recruiters and hiring managers in an onsite SF or NY environment and helps scale hiring processes.

Leads complex, large-scale AI infrastructure and inference engagements with governments, sovereign enterprises, and conglomerates. Responsibilities include executive relationship management, business-case development, account planning, value modeling, pricing, forecasting, commercial negotiation, deployment, and expansion. The role translates AI, data, infrastructure, security, and governance capabilities into strategic business outcomes while navigating federated organizations and complex procurement processes.

Drive cross-functional strategy and operations initiatives across product, research, business, partnerships, finance, and internal operations. Build scalable processes, support strategic planning, identify bottlenecks, develop decision-making frameworks, and execute special projects involving market analysis and automation. The role partners closely with founders and leadership to accelerate company growth and organizational scaling in an AI research environment.

Build and lead the accounting function: own month/quarter close, technical accounting (revenue, equity, leases), tax strategy, external audit, internal controls, and scale accounting and tax teams across multinational operations.

As a Forward Deployed Engineer Lead, you will lead the technical strategy and execution of AI applications, collaborate with teams, and ensure reliable deployments.

Design, implement, and run company-wide performance and promotion programs. Build performance frameworks, run calibration and promotion cycles, create career architecture and internal mobility processes, deliver manager training, partner with Compensation and People leadership, analyze talent outcomes, and provide reporting and insights to support workforce planning and organizational development.

The Research Program Manager will oversee cross-functional programs focused on enhancing training infrastructure, ensuring reliability, and facilitating effective communication among multiple teams in a high-paced environment.

Lead and build Reflection's marketing organization, owning strategy and execution across corporate, product, growth, brand, partnerships, and sales enablement. Translate company priorities into a measurable roadmap, establish planning/processes, hire and structure the team, define audience strategies, and partner cross-functionally with research, product, and GTM to drive brand awareness and product adoption.

Lead architecture, build, and operate a bleeding‑edge, zero‑trust identity infrastructure. Enforce phishing‑resistant auth, JIT privileged access for GPU/cloud compute, workload identity, policy-as-code, SCIM automation, and identity telemetry for adversary detection while minimizing developer friction.

Join Reflection's mission for open superintelligence, contributing to foundational AI models. Collaborate in a small, impactful team shaping the company's future.

As Compute and Infrastructure Counsel, you will lead legal negotiations for infrastructure projects related to AI, including hardware partnerships, cloud capacity agreements, and energy contracts while managing outside counsel.

As a Forward Deployed Engineer, you will translate AI research into real-world applications, architecting solutions and deploying systems for enterprise customers.

The Forward Deployed Engineer will lead the deployment of AI solutions, working closely with sales and research teams, ensuring effective solutions for enterprise needs.

The Data Operations Manager will build data operational infrastructure to enhance AI models, manage partnerships, and align data quality with research needs.

As a Forward Deployed Engineer, you will fine-tune language models for customer-specific applications, manage training data, debug training processes, and deploy models while collaborating with clients and research teams.

Act as the internal authority on election integrity, violent extremism, and fraud: design and run review workflows, lead evaluations and escalations, collaborate with Safety, Alignment, Policy, Legal and Engineering to validate models, build detection and enforcement systems, manage review operations and partners, and represent the lab externally on reporting and information sharing.

Lead Reflection's engagement with developer and research communities by building relationships, owning ambassador and developer programs, creating technical content, organizing events (hackathons, meetups, webinars), managing university and researcher partnerships, and partnering with Comms, Product, Research, and GTM to drive strategy and operational execution.

Drive enterprise adoption of Reflection's AI technology end-to-end: identify use cases, design engagements and SOWs, enable Forward Deployed Engineers, manage stakeholders, run delivery operations, handle security/legal/procurement onboarding, manage scope changes, and capture customer feedback to inform product and research.

Design and deliver agentic AI systems for enterprise customers: architect solutions, build LLM workflows, integrate with enterprise infra, fine-tune models, deploy across cloud/VPC/on-prem, and support production reliability and scaling.

Lead the Forward Deployed Engineering function to bridge research and production: architect and build agentic LLM systems, implement RAG and fine-tuning workflows, integrate with enterprise infrastructure across cloud/VPC/on-prem, ensure production scalability and reliability, collaborate with sales and research, and define playbooks and standards while mentoring the team.