ABOUT THIS JOB

As a Principal Engineer at Opaque Systems, you will play a critical role in shaping the architecture and driving the technical direction of the core OPAQUE platform, with a focus on the confidential computing infrastructure. You’ll collaborate closely with cross-functional teams to design, develop, and scale solutions for confidential AI. This is an opportunity to solve complex technical challenges while making a significant impact on the development of next-generation technologies.

Key Responsibilities

• Lead the design, architecture, and implementation of core software components for Opaque’s confidential computing platform
• Design, implement, and maintain end-to-end attestation services and infrastructure
• Lead integration of TEE technologies (CNCF CoCo, hyperscaler CC offerings) with OPAQUE's platform
• Design and operate multi-cloud CC deployments at the Kubernetes platform layer — runtime classes, TEE node pools, custom admission controllers, and service mesh security for confidential workloads
• Define and enforce cryptographic standards: key derivation, signing schemes, secure channel establishment, and secrets management within TEE boundaries
• Drive code quality and security review standards across the security engineering team — review at the correctness and side-channel level, not just design
• Collaborate with product, engineering, and AI teams to deliver scalable, high-performance, and secure solutions.
• Drive technical excellence across the engineering team, setting best practices for coding, architecture, testing, and deployment.
• Mentor and guide junior engineers, fostering a culture of continuous improvement and technical innovation.
• Work closely with stakeholders to define technical requirements and ensure alignment with business objectives.
• Optimize system performance, scalability, and fault tolerance while ensuring the security and privacy of data in all phases of computation.
• Stay ahead of industry trends and advancements in confidential AI and confidential computing
• Act as a key decision-maker in technical strategies, contributing to both tactical and strategic goals.

Qualifications

• 10+ years of software engineering experience, with a focus on distributed systems, cloud computing, or security.
• Deep hands-on experience in confidential computing / TEE technologies (e.g., CNCF CoCo)
• Fluency in attestation protocols: attestation quote generation and verification, RATS (RFC 9334), EAT/EAR standards
• Systems programming at production scale in Go and/or Rust; kernel modules, ioctl interfaces, or TEE SDK integration code a strong plus
• Cloud-native platform depth — Kubernetes operators, custom admission controllers, runtime classes, and TEE workload orchestration across multiple clouds
• Cryptographic engineering fundamentals: key hierarchies, AEAD schemes, digital signatures, and the ability to reason about threat models at the hardware boundary
• Expertise in system architecture and design, with a strong understanding of scalability, fault tolerance, and performance optimization.
• Proven track record of delivering large-scale, high-performance, and secure software systems.
• Strong communication skills, with the ability to collaborate effectively across technical and non-technical teams.
• Bonus: Track record of open-source contribution or standards engagement: CNCF CoCo, Project Oak, IETF RATS, or equivalent

ABOUT THIS ROLE

As a Forward Deployed Engineer (AI) at OPAQUE Systems, you are the technical bridge between our enterprise customers and OPAQUE's confidential AI platform. You will work directly with customer engineering teams — from initial architecture review through production deployment — helping them install and deploy OPAQUE in their environment, and build AI solutions (agents / agentic workflows, RAG pipelines, LLM integrations) that run on OPAQUE's confidential AI platform.

This is a hands-on technical role. You will write code, run POCs, architect solutions, and own the customer's path from "interested" to "getting value." You will also be a critical signal source for the product team — the patterns you see in the field shape what OPAQUE builds next.

KEY RESPONSIBILITIES

• Develop custom AI / agentic solutions tailored to customer needs
• Lead technical discovery and architecture scoping with enterprise customers — translate vague AI / agentic aspirations into concrete implementation plans.
• Design and build production-grade solutions for agentic workflows, RAG pipelines, and LLM integrations on OPAQUE's platform.
• Partner with customer engineering teams through production deployment — unblock integration issues, debug failures, and ensure the solution is maintainable.
• Run technical whiteboard sessions, architecture reviews, and POC demonstrations with CTO, CISO, and engineering leader audiences.
• Synthesize field observations into product feedback — use case patterns, integration friction, objections, and feature gaps.
• Build reusable artifacts: integration guides, POC templates, architectural reference designs, and objection playbooks.
• Stay ahead of the AI landscape — agentic frameworks, RAG techniques, LLM capabilities, enterprise AI tooling.

QUALIFICATIONS

• 5+ years of software engineering experience working on production AI/ML systems
• Hands-on experience building agentic workflows: tool use, multi-agent orchestration, memory architecture, agent reliability patterns.
• Deep hands-on experience with RAG pipeline design: chunking strategies, embedding models, vector databases, retrieval quality evaluation, re-ranking.
• Strong Python skills; experience with AI frameworks (LangChain, LlamaIndex, LangGraph, CrewAI, or similar).
• Experience integrating with LLM APIs (OpenAI, Anthropic, Gemini) in enterprise production environments.
• Ability to work directly with enterprise customer teams — comfortable with executive-level technical conversations.
• Strong understanding of enterprise deployment constraints: IAM, data residency, network topology, compliance requirements (SOC 2, HIPAA, FedRAMP).
• Security-aware engineering mindset — understands trust boundaries, data flow, and why cryptographic attestation matters for regulated industries.
• Bonus: Experience with confidential computing, TEEs, or privacy-preserving AI.

Head of Product

Location: Remote (USA preferred) 

AI adoption in the enterprise is no longer blocked by models or compute; it’s blocked by trust. Enterprises want to use their most valuable, sensitive data with AI, but security, privacy, and compliance risk stop meaningful deployment. 

OPAQUE unlocks AI value by making trust verifiable at runtime. We are trusted by world-class customers and partners, including ServiceNow, Anthropic, Accenture, Microsoft, and others across financial services, insurance, and high-tech. We are solving the last mile for AI in the enterprise: enabling organizations to move from pilot to production with cryptographic proof that data, models, and agents remain private, governed, and compliant.

This is a rare opportunity to help define a new category—Confidential AI—at a moment when it’s become mission-critical.

The Role

OPAQUE is hiring a Head of Product to help make OPAQUE a defining AI company and the global leader in privacy.

This role exists to translate enterprise trust requirements into verifiable, adoptable product reality—so customers can unlock AI value faster and responsibly. You will drive product strategy, bring deep technical judgment to critical decisions, and ensure OPAQUE’s product reduces friction and time-to-value for enterprise AI adoption.

This is a senior leadership role with direct impact on category leadership, customer adoption, and company strategy.

What You’ll Do

• Drive product strategy grounded in real customer needs and market signals
• Translate complicated customer trust, privacy, and deployment requirements into concrete product capabilities
• Drive, write and review product requirements leveraging Agile using key JTBD and personas and work with UX design leads to drive user experiences that are intuitive
• Ensure OPAQUE reduces friction and time-to-value for enterprise AI adoption
• Bring strong technical judgment to product and architectural tradeoffs
• Partner closely with engineering on technically deep, enterprise-grade systems
• Create the clarity that enables effective execution and repeatable adoption

What We’re Looking For

Required

• 10+ years leading product for complex B2B or enterprise software
• Proven ability to turn complex customer requirements into shipped products
• Strong technical experience and judgement across AI systems, security, privacy, and enterprise infrastructure
• Experience driving product strategy—not just roadmap execution
• Comfort making high-stakes decisions under ambiguity
• Experience with AI infrastructure, GenAI, RAG, data platforms, or security-sensitive systems

• Bonus: experience operating in regulated or high-trust environments