Staff Engineer, Security Operations

Requirements

• 8+ years in detection and response, detection engineering, security engineering or incident response.
• Track record of leading D&R strategy or multi-quarter initiatives with measurable results.
• Hands-on experience designing detection architecture and shipping detection systems on a modern SIEM (Panther highly valued).
• Strong Python, Git, CI/CD and detection-as-code skills.
• Experience leading high-severity incidents in cloud and SaaS environments and improving the IR process behind them.
• Cloud and SaaS expertise, ideally GCP, plus familiarity with tools like Google Workspace, Okta, GitHub, Slack, Atlassian, Cloudflare, CrowdStrike, Kandji and Snowflake.
• Sound judgment with incomplete information, and the influence to align technical and non-technical leaders without formal authority.

Nice to have

• Staff, Lead or Principal-level experience at a high-growth cloud or SaaS company.
• AI-assisted triage, investigation or response in production, with a clear view of its limits.
• Public security work (detection content, open-source tools, talks, research) or certifications such as GCIA, GCIH or GCED.
• How success is measured
• A D&R strategy tied to Security KRs, with telemetry work committed in other teams’ roadmaps.
• Better detection coverage and precision for top threats, and a tested IR process with faster MTTD/MTTR and fewer repeat incidents.
• AI-assisted triage and response in production, with a measurable drop in manual toil.
• Tech stack Panther (SIEM), Python, GCP, Kubernetes, Docker, Terraform, Google Workspace, Okta, GitHub, Slack, Atlassian, Cloudflare, CrowdStrike, Kandji, Snowflake. AI tools: Claude, Claude Code, Cursor, Glean.
• The listed Pay Range reflects the total cash compensation inclusive of annual base salary and annual bonus as applicable. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonus target and annual base salary for the role. This salary range may be inclusive of several career levels at Apollo and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. Applicants interested in this role who are not located in the US may request the annual salary range for their location during the interview process.
• Additional benefits for this role may include: equity; company bonus or sales commissions/bonuses; 401(k) plan; at least 10 paid holidays per year, flex PTO, and parental leave; employee assistance program and wellbeing benefits; global travel coverage; life/AD&D/STD/LTD insurance; FSA/HSA and medical, dental, and vision benefits.
• Tier 1 Pay Range (San Francisco, New York City, Seattle)
• $259,200 — $388,900 USD
• Tier 2 Pay Range (All other US Locations)
• $225,400 — $338,100 USD
• Pay Transparency Range
• $225,400 — $281,800 USD
• Tech stack
• Panther (SIEM), Python, GCP, Kubernetes, Docker, Terraform, Google Workspace, Okta, GitHub, Slack, Atlassian, Cloudflare, CrowdStrike, Kandji, Snowflake. AI tools: Claude, Claude Code, Cursor, Glean.
• We are AI Native
• Apollo.io is an AI-native company built on a culture of continuous improvement. We’re on the front lines of driving productivity for our customers—and we expect the same mindset from our team. If you're energized by finding smarter, faster ways to get things done using AI and automation, you'll thrive here.
• Why You’ll Love Working at Apollo
• At Apollo, we’re driven by a shared mission: to help our customers unlock their full revenue potential. That’s why we take extreme ownership of our work, move with focus and urgency, and learn voraciously to stay ahead.
• We invest deeply in your growth, ensuring you have the resources, support, and autonomy to own your role and make a real impact. Collaboration is at our core—we’re all for one, meaning you’ll have a team across departments ready to help you succeed. We encourage bold ideas and courageous action, giving you the freedom to experiment, take smart risks, and drive big wins.
• If you’re looking for a place where your work matters, where you can push boundaries, and where your career can thrive—Apollo is the place for you.
• Learn more here!

We are AI Native

Why You’ll Love Working at Apollo

Responsibilities

• Strategy and influence
• Own D&R strategy and turn it into multi-quarter initiatives tied to Security KRs. Report progress and risks to leadership in business terms.
• Work with Engineering, Infrastructure and IT so logging, telemetry and response readiness are planned into their roadmaps early.
• Set D&R standards: detections and response as code, review practices, playbook quality, and AI-assisted workflows.
• Mentor engineers to own detections and lead incidents, and help raise the hiring bar.
• Detection engineering and observability
• Own detection architecture and the multi-quarter coverage plan: log sources, enrichment, correlation, alert routing, and cost at scale.
• Own security observability: telemetry onboarding, signal quality, threat intel inputs and alert tuning.
• Run the detection lifecycle: intake and prioritization, unit tests, replay against historical data, attack simulation, and regular reviews of coverage gaps, latency, false positives and MTTD.
• Stay hands-on: ship MITRE ATT&CK-aligned detections, threat hunts and automations in Panther and Python via Git and CI/CD.
• Incident response
• Own and improve the IR plan: severity model, roles, escalation, communications, on-call and playbooks for our top scenarios.
• Build IR readiness: tabletop exercises with Engineering, Legal, Fraud and leadership, plus response automation and forensic readiness.
• Measure IR quality (MTTA/MTTR by severity, repeat incidents, action closure) and feed every incident’s lessons back into detections, automation and process.
• Lead high-severity incidents as senior technical lead or incident commander across cloud, SaaS and corporate systems.
• AI-native by default
• You’ll set the standard for AI-augmented D&R. You’ll use AI and agents for triage, enrichment, investigation and response, with guardrails and human-in-the-loop where it matters. You’ll measure the gains in speed, coverage and signal quality. You’ll also help define how we detect misuse of Apollo’s own AI systems and agent features.