Senior Manager, Security Platform Engineering

Todyl puts world-class networking and security within reach of every business. The Todyl Security Platform converges SASE, SIEM, Endpoint Security, GRC, MXDR, and more into a cloud-native, single-agent platform specifically built for MSPs, MSSPs, and Mid-Market IT Professionals. We are a fast-paced, dynamic start-up, passionate about simplifying complex networking and security for businesses of all sizes.

We are seeking a Senior Manager to lead the two engineering teams that build and operate our core security systems: the Detection Engine, Threat Intelligence Platform, SOAR, and Case Management. These systems power how our SOC, Detection Engineering, and Threat Intelligence functions detect threats, hunt, and work alerts—and how the results of that work are presented to our partners through cases. Their quality is directly visible in the detection and response outcomes our partners receive. This role reports to the Security leader.

This is a hands-on engineering leadership role. Roughly 80% of your time is management and delivery leadership; roughly 20% is technical contribution through architecture, design reviews, standards, and prototyping—not critical-path development. Your teams own production operations for these systems, including on-call, and you own their delivery quality, roadmap, and the quality of their partner-visible surfaces.

Our security practitioners are your customers: SOC, Detection Engineering, and Threat Intelligence define requirements and serve as the acceptance gate for security-facing functionality. Your teams own and iterate on the platforms themselves. As an AI-first security organization, our security practitioners build agentic workflows—detection authoring, intelligence enrichment, validation automation—directly on these systems, making platform extensibility and workflow support core requirements of what your teams deliver.

• Manage two system-aligned engineering teams covering the Detection Engine, TIP, SOAR, and Case Management

• Own hiring, performance, coaching, and career development for the engineering group, including developing team leads and senior engineers into broader leadership responsibilities

• Maintain a high technical bar through design reviews, code review standards, and architectural guidance

• Own the definition of done: establish acceptance criteria for security-facing functionality with operator sign-off from SOC, Detection Engineering, and Threat Intelligence

• Own production operations for these systems: on-call rotations, incident review, SLOs, and reliability engineering

• Own release quality and delivery predictability across both teams

• Coordinate shared infrastructure, deploy tooling, and engineering standards with our central Engineering organization

• Own the roadmap for the Detection Engine, TIP, SOAR, and Case Management, balancing operator needs, platform health, and partner-visible improvements

• Run product discipline for these systems: quarterly planning, success metrics, and written problem statements for major initiatives

• Own the quality and roadmap of partner-visible surfaces—case presentation foremost, as the primary way partners see the value of our security work—drawing partner signal from our customer-facing teams and coordinating with Product Management on go-to-market and the SIEM boundary

• Own the alert-working and threat hunting workflows these systems provide: investigation surfaces, hunt tooling and query capabilities, and the alert-to-case lifecycle

• Set and evolve the architectural direction for streaming detection infrastructure, intelligence pipelines, and automation systems

• Contribute through design documents, prototypes, and technical standards—staying out of critical-path delivery

• Guide how these platforms support practitioner-built automation: the APIs, workflow primitives, and extensibility that let security teams build detection authoring, enrichment, and validation workflows on the systems

• Ensure the Detection Engine, Case Management, and supporting systems expose the data, APIs, and integration points our AI SOC capabilities depend on, in close partnership with the AI/ML team that owns that initiative

• Work directly with Detection Engineering, Threat Intelligence, and MXDR as the customers of these systems: intake their requirements, close feedback loops, and treat operator effectiveness as the primary measure of success

• Translate operational pain into engineering priorities, and engineering trade-offs back into terms practitioners can act on

• Partner with these teams on telemetry, alert-working workflows, hunt tooling, and case presentation improvements

Own outcomes including:

• System reliability and SLO attainment for the Detection Engine, TIP, and SOAR

• Delivery predictability and quality across both teams

• Team health, retention, and leadership development

• Track and improve metrics such as:

• Operator-reported tooling effectiveness (SOC, DE, TI acceptance and satisfaction)

• Incident frequency and time-to-recovery for owned systems

• Cycle time from accepted requirement to production

• Bachelor's degree in Computer Science, Cybersecurity, or a related field, or equivalent practical experience

• 8+ years in software or security engineering, including significant experience building security products or detection/response tooling

• 3+ years managing engineering teams, with experience managing 8+ engineers or multiple teams

• Experience developing team leads or first-line managers

• Track record of owning production systems: on-call programs, incident management, SLOs

• Experience establishing delivery quality practices: acceptance criteria, review standards, release discipline

• Proven ability to set architectural direction while staying out of the critical path

• Experience running roadmap and prioritization processes across multiple teams

• Strong background in data-intensive systems: streaming and log pipelines (Kafka, Logstash), analytical data stores (ClickHouse, MySQL), and parsing/enrichment (GROK)

• Proficiency with Go and Python service development, SQL, Git, and CI/CD tooling (Argo or similar)

• Experience with LLM/agent infrastructure: building or overseeing agentic workflows, model integration, or AI-assisted automation in production

• Working knowledge of the detection and response domain: how SOCs, detection engineering, and threat intelligence teams operate, how analysts work alerts, hunt, and manage cases, and what they need from their tooling

• Experience operating across organizational boundaries with shared infrastructure and platform teams

• Strong written communication: design documents, roadmaps, and decision records

• Ability to represent engineering trade-offs to security practitioners and security needs to engineering organizations

• Experience at a security vendor building detection, SIEM, SOAR, or intelligence products

• Experience in an enterprise detection & response organization that built its own tooling

• Experience with MSP/MSSP or multi-tenant platform delivery