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Compliance and Documentation Lead

🔥 14 hours ago

🇺🇸 United States – Remote

💵 $165k - $223.3k / year

⏰ Full Time

🟠 Senior

🚔 Compliance

🦅 H1B Visa Sponsor

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👻 Ghost score 20%

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Logo of Deepgram

Deepgram

51 - 200 employees

Founded 2015

💼 Consulting

🏥 Healthcare

📦 Logistics

💰 $47M Series B on 2022-11

Consulting • Healthcare • Logistics

Deepgram is a leading voice AI company that provides powerful APIs for speech-to-text, text-to-speech, and language understanding applications. Their platform enables developers to build sophisticated voice AI solutions for use cases such as contact centers, medical transcription, conversational AI, and more. Known for unmatched accuracy, speed, and cost-effectiveness, Deepgram's technology is trusted by top enterprises and startups worldwide. By offering real-time and highly accurate transcription capabilities, Deepgram helps businesses gain insights from voice data, making it an essential tool for transforming voice interactions.

📋 Description

• Own customer and prospect privacy risk assessments, DPIAs, and transfer impact assessments end to end • Serve as the technical voice in customer privacy reviews and vendor due diligence calls • Build and maintain data flow maps and records of processing across hosted, dedicated, and self-hosted deployments • Own retention, deletion, DSAR, consent, opt-out, de-identification, and redaction control operations • Own subprocessor and vendor privacy reviews and DPA artifacts • Translate GDPR, UK GDPR, CCPA/CPRA, US state privacy laws, and emerging AI regulation into actionable requirements • Partner with Legal on DPAs, SCCs, transfer mechanisms, and residency commitments • Own audit evidence for SOC 2, ISO 27001, and PCI DSS and act as primary auditor contact • Maintain cross-framework control mappings and evidence crosswalks • Own security questionnaires and security sections of RFPs • Partner with Security Engineering to automate and reuse evidence • Author and manage internal policies and standards through their lifecycle • Own Trust Center content, AI Safety statements, Model Cards, Privacy Policy content, and deployment/self-hosted documentation • Own document versioning, review processes, and traceability to internal sources of truth • Design operational auditing and remediation workflows • Run compliance and privacy training and enablement for Sales Engineering

🎯 Requirements

• Substantial experience in privacy operations, GRC, security compliance, or technical compliance documentation • Experience carrying privacy assessments or an audit cycle end to end and owning the outcome • Exceptional technical and compliance writing ability • Experience owning compliance operational systems at scale, such as data maps, DSAR workflows, evidence collection, answer libraries, policy sets, or related tooling • Hands-on involvement in at least one formal SOC 2, ISO 27001, or PCI DSS audit as the person producing and defending evidence • Practical, applied experience with GDPR and CCPA/CPRA • Current understanding of emerging AI regulation • Ability to read architecture diagrams, follow cloud-infrastructure data flows, understand logs and retention settings, and identify compliance gaps • Ability to work directly with Fortune 500 privacy teams, security reviewers, and DPOs • Startup-friendly judgment and comfort making defensible decisions amid ambiguity • Bias toward building systems and templates • Certification such as CIPM, CIPT, CIPP/E, CISA, or ISO 27001 Lead Implementer/Auditor is nice to have • Experience with Vanta, Drata, or similar compliance automation and trust center tooling is nice to have • Familiarity with NIST AI RMF, ISO/IEC 42001, and EU AI Act is nice to have • Experience with ML/AI data pipelines and training-data governance is nice to have • Comfort with SQL, light scripting, or AI and agentic tooling is nice to have • Exposure to HIPAA or FedRAMP is nice to have

🏖️ Benefits

• Equity • Bonus eligibility • 10% annual bonus • Remote work • Flexible, AI-first working environment • Global team collaboration • Professional development through continuous learning and experimentation with AI tools

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