Director, Technical Products and Operations
About the role
Role Summary
Director, Technical Product Operations
Amazon Web Services (AWS)
SOC 2 compliant
AI-enabled features
technically credible, roll-up-your-sleeves operator
Platform Ownership & AWS Operations
- Own the full lifecycle of the client-facing SaaS products hosted on AWS - from infrastructure design and deployment through ongoing operation, optimization, and support.
- Architect, implement, and maintain
scalable, resilient AWS environments
(compute, storage, networking, databases, backups) with clear separation across development, staging, and production.
- Lead
high-availability and disaster-recovery (HA/DR)
design, including backup, failover, and recovery procedures, to meet client and contractual uptime commitments.
- Manage infrastructure-as-code (e.g., Terraform), CI/CD pipelines, and controlled promotion paths between environments.
- Own observability - metrics, logging, tracing, and alerting - and drive continuous improvement of platform performance and cost efficiency (FinOps).
Security, Compliance & SOC 2
- Maintain and continuously mature the platform's
security posture
, ensuring controls are designed, implemented, evidenced, and audit-ready.
- Own
SOC 2 compliance
for the platform - partnering with Information Security and external auditors to sustain Type I and progress toward Type II attestation.
- Enforce least-privilege identity and access management (AWS IAM), encryption in transit and at rest, secrets management, and tamper-evident audit logging.
- Coordinate third-party penetration testing, vulnerability management, and remediation within defined risk timelines.
- Ensure client-facing security, data-handling, and confidentiality requirements are met and clearly documented for client assurance.
AI-Enabled Product Features
- Support the secure integration and operation of
AI/ML and LLM-enabled features
within the product, including approved AI providers, usage boundaries, and cost guardrails.
- Partner with engineering and data teams to productionize AI capabilities with appropriate data classification, DLP, and human-in-the-loop controls where required.
Support, Reliability & Client Experience
- Ensure the product is
fully supported
- establishing SLAs, incident response playbooks, on-call coverage, and runbooks for production systems.
- Serve as senior escalation point for platform incidents, driving rapid resolution and transparent client communication.
- Own change management, release governance, and post-incident reviews to continuously improve reliability.
Leadership & Cross-Functional Partnership
- Lead, and mentor the external IT / platform engineering team, setting technical standards and delivery discipline.
- Partner closely with Information Security, Product, and Client-facing teams to align platform capabilities with commercial and client needs.
- Communicate platform health, risk, and roadmap clearly to both technical teams and executive / C-suite stakeholders.
- Manage relationships with key vendors and third parties (AWS and supporting services).
Required Qualifications
Hands-on
AWS infrastructure
Demonstrated experience implementing a product on AWS
(compute, networking, databases, IAM, IaC) from build through production operation.
- 7+ years in IT / platform engineering / cloud operations, including 3+ years operating production workloads in AWS.
- Prior
leadership or people-management
experience, ideally leading external IT, DevOps, SRE, or platform engineering functions.
- Strong working knowledge of
SOC 2
(and adjacent frameworks) and the practical implementation of the underlying controls.
- Experience with infrastructure-as-code (Terraform), CI/CD pipelines, and cloud security best practices (least-privilege IAM, secrets management, logging/audit).
- Proven ownership of production reliability - SLAs, incident response, on-call, and HA/DR.
- Excellent communication skills - equally comfortable with hands-on technical teams and C-suite stakeholders.
What you should have
- Experience delivering a
client-facing / commercial SaaS product
(multi-tenant, externally sold).
- Experience productionizing
AI / LLM-enabled features
and governing AI usage, data handling, and cost.
- Familiarity with regulated or enterprise-client environments (HIPAA-adjacent, GDPR, GxP).
- Experience with containerization/orchestration (ECS/Fargate, EKS), AWS Lambda, and observability tooling.
- Relevant certifications (AWS Solutions Architect / DevOps / Security, CISSP, CCSP).
- Bachelor's degree in Computer Science, Information Technology, or equivalent practical experience.
Pay Range: $200,000-$235,000
Not included in the source posting: about the role, benefits.
Skills
Who can apply
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