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Very Good Security

Tokenization-based data security platform

Senior Manager - Engineering

Engineering LeadershipConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • At least 5 years of experience managing, leading, or architecting high-throughput engineering teams in enterprise or high-growth SaaS environments.
  • Deep familiarity with modern Agile, DevOps, and Site Reliability Engineering practices adapted for AI-native workflows, such as agentic code pipelines, automated testing suites, and AI-assisted deployment pipelines.
  • Expertise managing distributed Java microservices, with strong command of REST APIs, event-driven architectures such as Kafka and SQS, relational and NoSQL databases, and high-performance data platforms.
  • Direct experience delivering containerized applications using Kubernetes and Docker in public cloud environments such as AWS, with modern telemetry and observability stacks.
  • A lead-from-the-front management style, with a track record of identifying operational friction and reimagining processes, taking ownership of outcomes, and empowering engineers.
  • A solid understanding of operating in regulated environments, including PCI-DSS, SOC2, and ISO27001, and treating security and compliance as engineering constraints.

Responsibilities

  • Lead the design, building, testing, and operation of services using AI-augmented software development lifecycle practices and agentic workflows to increase engineering velocity and shorten time to production.
  • Build a high-throughput engineering culture through strict code quality, continuous integration, robust automated testing, and blameless operational rigor.
  • Partner with Product Management and architectural leadership to align technical strategy with business objectives, balancing Value-Added Services innovation with platform performance, security, and scalability.
  • Hire, coach, and retain engineering talent; set clear expectations, remove cross-team friction, and foster deep ownership, continuous learning, and accountability.
  • Drive availability, performance, and security standards across a mission-critical Java microservices environment.
  • Own incident response baselines and establish self-healing system practices with adjacent Sustaining and Infrastructure teams.

Desired Qualifications

  • Experience with tokenization, payment processing, or security products.
  • A BA/BS degree.
  • Experience thriving in a fast-paced startup environment and thinking beyond conventional approaches.
  • A proven track record of rolling out AI developer tools or agentic workflows across an engineering organization.
  • Experience optimizing low-latency distributed data streams and high-concurrency database queries.

About the Company

Very Good Security

Tokenization-based data security platform

Very Good Security (VGS) provides security infrastructure to help businesses protect sensitive data and stay compliant, so product teams can focus on building features. Its core tools include the VGS Vault for secure data storage and a Tokenization API that replaces sensitive data with tokens that retain the data's meaning. It also offers Payment Optimization products to help store payment and PII data, reduce transaction fees, avoid vendor lock-ins, and increase transaction volumes. The goal is to let developers build new features while VGS handles data security and compliance, with scalable pricing that can grow with a business.

Company size
501-1,000
Company stage
Series C
Total funding
$103.5M
Headquarters
San Francisco, CA
Founded
2015

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