Jobs at ReflectionAI

Own human data acquisition programs for AI model development. Translate research needs into sourcing strategies, coordinate vendors, define task and quality requirements, monitor campaign metrics, investigate bottlenecks, and optimize data workflows. The role requires SQL and Python for analytics, dashboards, API integrations, and automation, plus familiarity with LLM training, evaluation, and prompt design.

Own Ashby ATS configuration, permissions, integrations, interview structures, reporting, data quality, and recruiting documentation. Build dashboards tracking pipeline health, hiring efficiency, interviewer load, sourcing, and scheduling. Develop interviewer and hiring manager training materials, manage enablement programs, oversee recruiting tool rollouts, administer candidate experience surveys, and convert insights into process improvements.

Build and maintain compliance automation, technical controls, monitoring, evidence collection, and GRC integrations for SOC 2, ISO 27001, NIST, CMMC, privacy, trade compliance, and data governance. Translate regulatory requirements into engineering specifications, support audits and security questionnaires, maintain integrations with identity and data systems, and help establish compliant system boundaries. Partner across engineering, security, IT, compliance, legal, and vendors.

Build and maintain cross-functional compliance programs, policies, SOPs, training, and monitoring across AI, data, privacy, trade, government contracting, and corporate compliance. Support SOC 2, ISO 27001, NIST, and CMMC readiness; manage third-party risk processes; answer customer security questionnaires; track regulatory developments; coordinate audits and control owners; and create reporting, templates, and operational processes in a high-growth technology environment.

Provide Tier 1 and Tier 2 IT support, executive assistance, onboarding, SaaS administration, and IT systems management. Configure MDM, SSO, ticketing, and identity systems; automate provisioning and offboarding; support IT security initiatives; manage SaaS spend; and coordinate technology requirements for new office buildouts, including networking, audiovisual, and security equipment.

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.

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.

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 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 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.

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.

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.