P

Prophecy

Low-code data engineering for Spark/Airflow

Director of Security

Security Engineering & Architecture +1Confirmed live in the last 24 hours
Full-timeSan Francisco, CA, USANo salary listedIn-person

About the Job

Requirements

  • At least 10 years of experience in security, including at least 3 years in product, application, or cloud security at a software company.
  • Experience leading a small security or IT team as a player-coach.
  • Hands-on experience securing AWS and Kubernetes environments.
  • Experience owning ISO/IEC 27001 and/or SOC 2 Type II programs, including audits and ongoing control management.
  • Experience supporting enterprise sales through security reviews, questionnaires, and customer CISO conversations.
  • Ability to act as both strategist and hands-on practitioner as the first dedicated security leader at a fast-growing startup.
  • Strong written and verbal communication skills, including translating technical risk for executives and customers.

Responsibilities

  • Own Prophecy's security strategy and roadmap across product, cloud infrastructure, and corporate environments.
  • Build and scale the security program, including policies, controls, risk assessments, and decisions about mitigating or accepting risk.
  • Partner with Engineering across the US and India to embed security into the design, build, and release of AI agents and the data platform.
  • Own threat modeling for agentic systems, including tool and permission scoping, prompt injection defenses, credential handling, customer data isolation, and runtime monitoring.
  • Lead AI governance for the agent platform, building on alignment with the EU AI Act and NIST frameworks, including governance of customer data flows through models and third-party LLM providers.
  • Lead application security practices across secure code review, vulnerability management, penetration testing, and secure-by-default engineering standards.
  • Secure integrations with Databricks, Snowflake, BigQuery, and other customer data platforms.
  • Set guardrails for internal agents, including least-privilege access to data, systems, and MCP servers, short-lived credentials, and human approval for high-risk actions.
  • Review new internal agents and AI tools before they access production or customer data, set policy for employee AI use, and extend logging and incident response to agent activity.
  • Build agents for the security team, such as questionnaire automation and alert triage.
  • Own the security posture of AWS and Kubernetes environments, including identity and access management, secrets management, logging, and detection.
  • Build and run incident response from detection and triage through post-incident review and remediation.
  • Own and evolve compliance programs, including ISO/IEC 27001:2022, SOC 1 Type II, and SOC 2 Type II, maintaining continuous audit readiness and expanding coverage as needed.
  • Own data privacy compliance across operating regions, including GDPR, CCPA, and India's DPDP Act.
  • Lead security reviews, questionnaires, and trust documentation for enterprise and regulated-industry customers.
  • Join customer calls with CISOs and security teams to answer security questions and help close deals.
  • Partner with IT and People on access management, device security, vendor risk, and company-wide security awareness.

Desired Qualifications

  • Experience securing AI/LLM-powered products, including prompt injection, agent permissioning, and data handling with third-party model providers.
  • Background at a data platform or data infrastructure company such as Databricks, Snowflake, dbt, Fivetran, or similar.
  • Experience selling into regulated industries such as financial services, healthcare, or telecom.
  • Experience working with distributed engineering teams across time zones.

About the Company

Prophecy

Low-code data engineering for Spark/Airflow

Prophecy.io offers a subscription-based, low-code data engineering platform that helps data teams build and manage data pipelines using Apache Spark and Apache Airflow. Users design Spark workflows and Airflow schedules through a low-code UI, while the platform handles execution, monitoring, lineage, and metadata search across pipelines. It differentiates itself by tightly integrating Spark and Airflow in one environment with strong metadata management and column-level lineage for governance at scale. Its goal is to help medium- to large-sized organizations accelerate data pipeline development and governance with reduced coding and increased visibility and productivity.

Company size
51-200
Company stage
Series B
Total funding
$116.5M
Headquarters
Palo Alto, CA
Founded
2017

Recently Posted Jobs

Explore more opportunities at Prophecy

See more jobs