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You are the guardian of our source of truth. our company runs on a stack of 25+ interconnected SaaS tools, Salesforce, HubSpot, NetSuite, Workato, Gong, Outreach, IronClad, Okta, and more, and when that stack misfires, every team in the company feels it. Your job is to make sure it doesnt.
But ownership isnt just maintenance. As we scale our GenAI capabilities across the company, the quality of our core systems becomes the foundation everything else is built on. Youll be the one who ensures that when our GenAI Builder, our RevOps team, or our Finance team needs data, its clean, current, and accessible. Youre not a systems administrator. Youre the person who decides alongside with the business opener what the core stack looks like, how it grows, and how to build our agentic layer on top of it.
Youll manage a small team alongside a curated bench of specialized freelancers and subcontractors for deep technical work, and youll be the escalation point when things break. You report directly to the CFO.
What Youll Own
Core Stack Administration
Own the full tech stack: GTM (Salesforce, HubSpot, Outreach, Gong, ZoomInfo, Seismic), Finance (NetSuite, Stripe, Mesh, Opstream, Dokka, Expensify), Operations (JIRA, Notion, IronClad), and Infrastructure (Okta, Workato, Slack, Google Analytics) some of the tools will be co owned with IT
Ensure data integrity, system reliability, user access governance, and documentation across all platforms
Manage vendor relationships, license renewals, and cost optimization across the portfolio.

The Configuration Control Engineer is responsible for managing configuration control and product build processes within the PLM system. This role involves documenting products throughout their lifecycle, collaborating with R&D, marketing, manufacturing, and subcontractors.

Key Responsibilities:

Oversee configuration control and product release in the PLM system.
Document products throughout their lifecycle, working closely with R&D, marketing, manufacturing, logistics, QA and subcontractors.
NPI- Support products from development through to mass production.
Integrate manufacturability and testability considerations (DFM, DFA, DFT, DFC) during design reviews.
Provide technical support related to PCB topics.
Oversee First Article production and feedback for corrections.
Define manufacturing processes, prepare instructions, assembly drawings, and related documentation (Manufacturing procedures, Fabrication flow, PRR, etc.).
Manage engineering change processes in PLM-ORACLE.
Collaborate with various company departments and interfaces.
Build manufacturing files and support subcontractors (including supporting production line issues).
Optimize production lines and improve engineering processes using new technologies, cost reduction, and time-saving initiatives.
Write procedures and ECR/ECN documents

The Director of AI Enablement is both a builder and a transformation leader, someone who can identify opportunities, design and implement AI solutions, and drive adoption across the organization to create measurable business value.

Reporting directly to the CEO, this is a highly visible, hands-on leadership role at the intersection of business transformation, technology, and organizational change.

The successful candidate will lead AI roadmap, build practical AI solutions, drive adoption across functions, and help transform how work is performed throughout the organization.

What Will You Do?

Define and execute AI roadmap.

Identify, prioritize, and implement high-impact AI opportunities across the business.

Partner with business, operational, engineering, and corporate functions to understand workflows, pain -points and improvements opportunities.

Translate business challenges into practical AI use cases and measurable outcomes.

Design, build, pilot, and scale AI-powered solutions, including AI agents, copilots, automations, knowledge assistants, and business applications.

Partner with IT, Engineering, Infrastructure, and Security teams to ensure scalable, secure, and sustainable solutions.

Lead the transformation, not just the technology; drive AI adoption across departments and help leaders redesign processes and ways of working to maximize AI value.

Work hand-in-hand with HR and business leaders to lead the organizational transformation required to successfully adopt AI, build internal capabilities, and embed new ways of working across the company.

Establish and lead the core pillars of the AI Enablement program: Adoption, Infrastructure, and Solution Development.

Build and lead a community of AI Builders and Leaders across the organization.

Establish AI governance, Responsible AI practices, and security standards.

Measure and communicate business impact through adoption, productivity gains, efficiency improvements, time savings, and ROI.

Success is measured not only by building AI solutions, but by driving meaningful improvements in productivity, efficiency, quality, decision-making, and business performance across the organization.

Key Responsibilities:
Lead Forecasting & Planning: Drive forecasting, budgeting, and scenario analysis, owning the numbers end-to-end and delivering actionable insights to mid- and senior leadership.
Leadership & Cross-Functional Collaboration: Lead cross-functional FP&A initiatives, drive alignment across finance and business teams, and foster a culture of accountability, continuous improvement, and operational excellence.
Leadership & Management: Demonstrated ability to lead and develop FP&A teams, manage priorities across multiple workstreams, and influence cross-functional stakeholders to deliver high-quality financial outcomes in a fast-paced environment.
Build & Automate Workstreams: Identify manual, repetitive FP&A processes and rebuild them, using AI tools, scripts, and automation to make the team faster and leaner.
Pricing Analysis: Conduct deal-level pricing analysis, delivering data-driven recommendations to sales and management.
Sales Commission Management: Own commission calculations, accruals, and payments end-to-end.
Financial Reporting: Prepare reporting packages and board/exec presentations.
Accounting Collaboration: Partner with accounting on close processes, expense recording, and reporting accuracy.

Perform validation tests at product board and system levels, to ensure compliance with specifications, standards and customer requirements.

We are seeking a Mechanical Assembly Technician to join our R&D Department

Job Description:

Perform precision mechanical assembly of company products, including ruggedization of electronic boards for military and commercial applications.

Assemble rugged military computer systems.

Work according to product documentation, including process travelers and related production paperwork.

Read and understand assembly drawings.

Prepare coating and bonding drawings for electronic boards.

Ability to improvise and build fixtures for laboratory equipment - an advantage.

Provide hands-on support to R&D engineers in the lab and during product development activities.

We are seeking an Electronics Technician / Practical Engineer to join our RMA team.

In this role, you will be responsible for repairing and testing real-time boards and systems that integrate microprocessors, graphics circuits, analog circuits, and digital circuits.

The role includes diagnosing and troubleshooting customer product failures, performing functional tests, programming components, and conducting Environmental Stress Screening (ESS) tests.

Were looking for an AI Software Engineer to own the RL Gym platform end-to-end: from architecting multi-site web environments that simulate real-world attack surfaces, to optimizing our in-house orchestration harness (AgenticVerse) for high-performance delivery into customer training pipelines.
This is a builder role. Youll lead a small team (including a dedicated web environments engineer), operating with high autonomy, moving fast from concept to working prototype to production system. Youll interact directly with customer engineering teams to understand their infrastructure constraints and deliver environments that meet their scale and reliability requirements.
Why this role
This is one of the few roles in the industry where your code directly influences how the next generation of AI models are trained. Youll be at the center of advancing AI safety, building systems that the worlds top labs depend on to make their models more robust. The work is technically deep, the problem space is genuinely novel, and the field is moving faster than any team can keep up with alone. Theres no playbook. Youll write it.
What youll do:
Platform & performance
Own and evolve AgenticVerse, our in-house orchestration harness that provisions and manages RL environments at scale. Focus on performance: low-latency provisioning, high concurrency, minimal overhead per environment instance
Design and build isolated, reproducible web environments using Firecracker microVMs or Docker containers
Architect multi-site scenarios (3-4 interconnected web applications per task) with rich interactions: drag-and-drop, file uploads, authentication flows, LLM-in-the-loop components
Implement deterministic verifiers that evaluate agent behavior with zero ambiguity
Customer delivery
Work directly with engineering teams at leading AI labs to integrate RL Gym environments into their training and evaluation pipelines
Translate customer specs into working environments, iterating rapidly on feedback
Own the technical relationship: SLAs, API contracts, integration architecture
Adapt environment delivery formats to cus tomer infrastructure (real-time API calls vs. offline batch, managed vs. raw artifacts)
Build customer-facing UIs when needed (dashboards, environment configuration portals, monitoring interfaces)
Rapid prototyping
Take ambiguous problem descriptions and produce working prototypes within days, not weeks
Validate new environment types, interaction patterns, and verifier approaches quickly
Build internal tooling that accelerates scenario authoring and testing.