
51 - 200 employees
Founded 2013
🤝 B2B
👥 HR Tech
🎯 Recruiter
B2B • HR Tech • Recruitment
C-Serv is a tech recruitment and global workforce solutions provider that specializes in helping businesses find skilled talent. With a deep understanding of tech staffing challenges, C-Serv offers personalized recruitment strategies, rigorous vetting processes, and flexible placement options to meet the unique needs of high-growth organizations around the world. Their services extend to supporting clients with comprehensive workforce management, ensuring compliance with international regulations while connecting companies to the specialized talent they need to drive innovation and success.
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51 - 200 employees
Founded 2013
🤝 B2B
👥 HR Tech
🎯 Recruiter
B2B • HR Tech • Recruitment
C-Serv is a tech recruitment and global workforce solutions provider that specializes in helping businesses find skilled talent. With a deep understanding of tech staffing challenges, C-Serv offers personalized recruitment strategies, rigorous vetting processes, and flexible placement options to meet the unique needs of high-growth organizations around the world. Their services extend to supporting clients with comprehensive workforce management, ensuring compliance with international regulations while connecting companies to the specialized talent they need to drive innovation and success.
• Own the long-term success of enterprise customers from go-live onward: adoption, expansion, renewal, and measurable risk reduction. • Lead the delivery of AI security engagements: threat modeling, guardrail design, red-team exercises, control frameworks, and implementation advisory against the platform. • Embed alongside customer security and engineering teams, translating their AI risk exposure into outcomes they can see and defend to their board. • Turn what you find in delivery into clear, executive-ready narratives that drive decisions, not just technical artifacts. • Act as the senior technical voice in enterprise sales cycles: presenting, demonstrating, and defending the proposition to CISOs, security architects, and engineering leaders. • Lead discovery that surfaces real risk exposure and shape it into a compelling case for the platform and the services around it. • Partner with sales on scoping, solution design, and proposals that win complex, multi-stakeholder deals across the Fortune 500. • Help shape the strategy, roadmap, and success of the AI security offering in North America. • Define repeatable delivery methods, and feed patterns from the field back into product direction. • Lay the foundations of the North America team, and grow into leading it as the function scales.
• 8+ years in a senior post-sales technical role: customer engineering, solutions architecture, professional services, or security consulting at principal level. • Deep, credible knowledge of AI and ML security: adversarial attacks, prompt injection, data poisoning, model inversion, supply-chain risk, and the threat landscape around LLMs and agentic systems. • A track record of owning enterprise customer relationships and outcomes, from first deployment through expansion. • Comfort across the full sales cycle without losing technical credibility. You can hold a room with a CISO and go deep with a security engineer in the same afternoon. • Proven delivery leadership: you have scoped, led, and closed out complex technical engagements with enterprise clients. • Entrepreneurial: you are energized by a blank page and comfortable building the road as you walk it. • Commercial: you understand deal mechanics, pipeline, and what it takes to win, and you care about the number. • Curious: you follow emerging technology because you want to, and you have built with AI systems yourself. • Owner's instinct: you take accountability for the long game, not just the launch. • Strongly preferred • Hands-on experience securing LLM deployments in enterprise environments: RAG architectures, agentic frameworks, fine-tuning, and the security considerations of each. • Background in offensive security, red teaming, or adversarial ML research. You understand how these systems are attacked, not only how they are defended. • Familiarity with AI governance and compliance frameworks: NIST AI RMF, EU AI Act, ISO 42001, SOC 2. • Domain depth in a regulated vertical: financial services, healthcare, defense, or critical infrastructure. • A public presence: speaking, writing, research, or a recognized reputation in AI security. • Experience standing up a practice, service line, or methodology from the ground up.
• Health Care Plan (Medical, Dental & Vision) • Life Insurance (Basic, Voluntary & AD&D) • Paid Time Off (Vacation, Sick & Public Holidays) • Family Leave (Maternity, Paternity) • Training & Development
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