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Engineering Manager, Security Detection & Response
Apollo · Remote, United States
$225k–282k
60 days ago
♡
Engineering Manager, Security Detection & Response
Apollo · Remote, United States
$225k–282k
60 days ago
♡
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Engineering Manager, Security Detection & Response
Apollo · Remote, United States
Pay
$225k–282k
Setting
Remote
Back to jobs
Engineering Manager, Security Detection & Response
Remote, United States
Apply
Apollo.io is the leading go-to-market solution for revenue teams, trusted by over 500,000 companies and millions of users globally, from rapidly growing startups to some of the world's largest enterprises. Founded in 2015, the company is one of the fastest growing companies in SaaS, raising approximately $250 million to date and valued at $1.6 billion. Apollo.io provides sales and marketing teams with easy access to verified contact data for over 210 million B2B contacts and 35 million companies worldwide, along with tools to engage and convert these contacts in one unified platform. By helping revenue professionals find the most accurate contact information and automating the outreach process, Apollo.io turns prospects into customers. Apollo raised a series D in 2023 and is backed by top-tier investors, including Sequoia Capital, Bain Capital Ventures, and more, and counts the former President and COO of Hubspot, JD Sherman, among its board members.
Role Overview
Apollo is looking for a startup-minded Engineering Manager to lead our Security Detection & Response team. You'll build and scale a team that ships detection systems, automations, and investigation tools at startup velocity—moving from concept to production in weeks, not months. This is a hands-on leadership role for someone who can coach engineers, make fast decisions with incomplete information, and stay close to the technical details while balancing speed with rigor.
This role operates in a fully remote environment and requires excellent asynchronous communication, comfort with ambiguity, and the ability to ship fast and learn from what sticks.
Key Responsibilities
Team Leadership & Engineering Culture
Build, lead, and retain a high-performing remote Security Detection & Response team with clear expectations, strong onboarding, documentation, and knowledge-sharing practices.
Coach engineers to grow in technical depth, operational ownership, and leadership capability while prioritizing shipping velocity and iteration over perfection.
Define team culture around experimentation: ship detection rules quickly, measure effectiveness, iterate based on signal.
Partner closely with Engineering, Infrastructure, IT, Fraud, Legal, People, Support, and Product—translating security risk into business decisions and communicating impact clearly to both technical and non-technical stakeholders.
Shipping Detection Systems & Content at Startup Velocity
Define and evolve the Security Detection & Response strategy: what to build, when, and why. Prioritize ruthlessly; not every threat gets a detection.
Lead the team in shipping detection rules, MITRE ATT&CK-aligned use cases, investigation playbooks, and response automations with measurement and validation loops—but ship first, perfect later.
Oversee Panther detections and AI-assisted workflows for triage, enrichment, and response. Continuously measure coverage, precision, latency, and tuning effectiveness through safe rollout and attack simulation.
Drive Python-based tooling, Git-based workflows, and CI/CD practices to enable the team to ship detection content in days, not quarters.
Stay close to the technical work: code reviews, architecture decisions, and hands-on problem-solving alongside the team.
Security Observability & Incident Response as Outcome
Own end-to-end security observability: telemetry onboarding, signal quality, threat intelligence inputs, and alert tuning. Good detections prevent incidents.
Lead complex and high-severity incidents with clear decision-making and effective communication. Translate incident learnings into detection and response priorities for the next sprint.
Stay technically engaged in investigations across cloud infrastructure, SaaS platforms, corporate systems, and user behavior. Use incidents as teaching moments for the team and validation for detection strategy.
Work with Engineering and Infrastructure on telemetry pipelines and operational readiness. Ensure the team has the data they need to ship fast.
Metrics & Impact
Define and own strategy-aligned metrics: detection latency, coverage gaps, false positive rates, team velocity. Use data to inform priorities and stakeholder decisions.
Communicate security impact in business terms: what risks are you preventing, and what's the cost of being wrong?
Required Skills & Experience
5+ years in Security Detection & Response, Security Engineering, or Incident Response—hands-on experience building and shipping detection systems, not just managing incidents.
2+ years of people management, including hiring, coaching, and performance management, ideally in a remote-first environment.
Strong technical foundation: modern SIEM platforms, detection engineering, log analysis, threat intelligence workflows. Panther experience highly valued.
Python proficiency for automation, analysis, and internal tooling. You need to remain technically credible with your engineers and review code.
Comfort with startup velocity: able to make sound decisions with incomplete information, ship fast, iterate based on feedback, and know when "good enough" is good enough.
Git workflows, CI/CD practices, and experience building security content and automation pipelines as code.
Cloud-native and SaaS expertise: GCP preferred. Familiarity with Apollo's toolsets (Google Workspace, Okta, GitHub, Slack, Atlassian, Cloudflare, CrowdStrike, Kandji, Panther, Snowflake) strongly valued.
Excellent communication: You'll translate technical security work into business impact for executives and explain engineering trade-offs to non-technical stakeholders.
Preferred Qualifications
Experience leading Detection Engineering or Security Engineering teams in a high-growth cloud or SaaS startup environment (not just enterprises or government).
AI-assisted security workflows: You've used AI for triage, investigation, or response in production and know the limitations.
MITRE ATT&CK, threat intelligence workflows, and vulnerability management SLAs—but with a bias toward automation and shipping, not just compliance.
Relevant certifications such as CISSP, GCIA, GCIH, GCED, or cloud security certifications.
Track record of shipping fast: you've led teams that iterate weekly and measure success by velocity + signal.
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.
Pay Transparency Range
$225,400 - $281,800 USD
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!
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Listed by Apollo for a position based in the United States. Employers on this board attest they are hiring domestically.
Engineering Manager, Security Detection & Response
Apollo · Remote, United States
Pay
$225k–282k
Setting
Remote
Back to jobs
Engineering Manager, Security Detection & Response
Remote, United States
Apply
Apollo.io is the leading go-to-market solution for revenue teams, trusted by over 500,000 companies and millions of users globally, from rapidly growing startups to some of the world's largest enterprises. Founded in 2015, the company is one of the fastest growing companies in SaaS, raising approximately $250 million to date and valued at $1.6 billion. Apollo.io provides sales and marketing teams with easy access to verified contact data for over 210 million B2B contacts and 35 million companies worldwide, along with tools to engage and convert these contacts in one unified platform. By helping revenue professionals find the most accurate contact information and automating the outreach process, Apollo.io turns prospects into customers. Apollo raised a series D in 2023 and is backed by top-tier investors, including Sequoia Capital, Bain Capital Ventures, and more, and counts the former President and COO of Hubspot, JD Sherman, among its board members.
Role Overview
Apollo is looking for a startup-minded Engineering Manager to lead our Security Detection & Response team. You'll build and scale a team that ships detection systems, automations, and investigation tools at startup velocity—moving from concept to production in weeks, not months. This is a hands-on leadership role for someone who can coach engineers, make fast decisions with incomplete information, and stay close to the technical details while balancing speed with rigor.
This role operates in a fully remote environment and requires excellent asynchronous communication, comfort with ambiguity, and the ability to ship fast and learn from what sticks.
Key Responsibilities
Team Leadership & Engineering Culture
Build, lead, and retain a high-performing remote Security Detection & Response team with clear expectations, strong onboarding, documentation, and knowledge-sharing practices.
Coach engineers to grow in technical depth, operational ownership, and leadership capability while prioritizing shipping velocity and iteration over perfection.
Define team culture around experimentation: ship detection rules quickly, measure effectiveness, iterate based on signal.
Partner closely with Engineering, Infrastructure, IT, Fraud, Legal, People, Support, and Product—translating security risk into business decisions and communicating impact clearly to both technical and non-technical stakeholders.
Shipping Detection Systems & Content at Startup Velocity
Define and evolve the Security Detection & Response strategy: what to build, when, and why. Prioritize ruthlessly; not every threat gets a detection.
Lead the team in shipping detection rules, MITRE ATT&CK-aligned use cases, investigation playbooks, and response automations with measurement and validation loops—but ship first, perfect later.
Oversee Panther detections and AI-assisted workflows for triage, enrichment, and response. Continuously measure coverage, precision, latency, and tuning effectiveness through safe rollout and attack simulation.
Drive Python-based tooling, Git-based workflows, and CI/CD practices to enable the team to ship detection content in days, not quarters.
Stay close to the technical work: code reviews, architecture decisions, and hands-on problem-solving alongside the team.
Security Observability & Incident Response as Outcome
Own end-to-end security observability: telemetry onboarding, signal quality, threat intelligence inputs, and alert tuning. Good detections prevent incidents.
Lead complex and high-severity incidents with clear decision-making and effective communication. Translate incident learnings into detection and response priorities for the next sprint.
Stay technically engaged in investigations across cloud infrastructure, SaaS platforms, corporate systems, and user behavior. Use incidents as teaching moments for the team and validation for detection strategy.
Work with Engineering and Infrastructure on telemetry pipelines and operational readiness. Ensure the team has the data they need to ship fast.
Metrics & Impact
Define and own strategy-aligned metrics: detection latency, coverage gaps, false positive rates, team velocity. Use data to inform priorities and stakeholder decisions.
Communicate security impact in business terms: what risks are you preventing, and what's the cost of being wrong?
Required Skills & Experience
5+ years in Security Detection & Response, Security Engineering, or Incident Response—hands-on experience building and shipping detection systems, not just managing incidents.
2+ years of people management, including hiring, coaching, and performance management, ideally in a remote-first environment.
Strong technical foundation: modern SIEM platforms, detection engineering, log analysis, threat intelligence workflows. Panther experience highly valued.
Python proficiency for automation, analysis, and internal tooling. You need to remain technically credible with your engineers and review code.
Comfort with startup velocity: able to make sound decisions with incomplete information, ship fast, iterate based on feedback, and know when "good enough" is good enough.
Git workflows, CI/CD practices, and experience building security content and automation pipelines as code.
Cloud-native and SaaS expertise: GCP preferred. Familiarity with Apollo's toolsets (Google Workspace, Okta, GitHub, Slack, Atlassian, Cloudflare, CrowdStrike, Kandji, Panther, Snowflake) strongly valued.
Excellent communication: You'll translate technical security work into business impact for executives and explain engineering trade-offs to non-technical stakeholders.
Preferred Qualifications
Experience leading Detection Engineering or Security Engineering teams in a high-growth cloud or SaaS startup environment (not just enterprises or government).
AI-assisted security workflows: You've used AI for triage, investigation, or response in production and know the limitations.
MITRE ATT&CK, threat intelligence workflows, and vulnerability management SLAs—but with a bias toward automation and shipping, not just compliance.
Relevant certifications such as CISSP, GCIA, GCIH, GCED, or cloud security certifications.
Track record of shipping fast: you've led teams that iterate weekly and measure success by velocity + signal.
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.
Pay Transparency Range
$225,400 - $281,800 USD
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!
Apply for this job
*
indicates a required field
Autofill my application
First Name*
Last Name*
Preferred First Name
Email*
Phone
Country*
Phone*
Resume/CV*
Attach
Attach
Dropbox
Google Drive
Enter manually
Enter manually
Accepted file types: pdf, doc, docx, txt, rtf
LinkedIn Profile*
What are your compensation expectations for the role? (Please do not say negotiable) *
How many years of experience do you have in Security Operations, Incident Response, Detection Engineering, or Security Engineering?*
How many years of experience do you have managing engineers?*
Which SIEM platform(s) have you used in production?*
Which programming language do you primarily use for security automation?*
Have you implemented AI-assisted workflows for security operations in production?*
Select...
Submit application
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Listed by Apollo for a position based in the United States. Employers on this board attest they are hiring domestically.
Engineering Manager, Security Detection & Response
Apollo · Remote, United States
Pay
$225k–282k
Setting
Remote
Listed by Apollo for a position based in the United States. Employers on this board attest they are hiring domestically.
Staff Data Scientist - Product
Apollo · Remote, United States
Pay
$205k–295k
Setting
Remote
Back to jobs
Staff Data Scientist - Product
Remote, United States
Apply
Apollo.io is the leading go-to-market solution for revenue teams, trusted by over 500,000 companies and millions of users globally, from rapidly growing startups to some of the world's largest enterprises. Founded in 2015, the company is one of the fastest growing companies in SaaS, raising approximately $250 million to date and valued at $1.6 billion. Apollo.io provides sales and marketing teams with easy access to verified contact data for over 210 million B2B contacts and 35 million companies worldwide, along with tools to engage and convert these contacts in one unified platform. By helping revenue professionals find the most accurate contact information and automating the outreach process, Apollo.io turns prospects into customers. Apollo raised a series D in 2023 and is backed by top-tier investors, including Sequoia Capital, Bain Capital Ventures, and more, and counts the former President and COO of Hubspot, JD Sherman, among its board members.
Position Overview:
We are seeking a highly analytical and impact-driven Senior Data Scientist to help shape our product strategy and decision-making through data. In this role, you will focus on optimizing existing products while also supporting early-stage product initiatives where relevant. You will work closely with cross-functional teams to drive product innovation and optimization through data-driven insights. This position requires a passion for transforming data into actionable insights and the ability to thrive in a fast-paced environment.
What You’ll Do:
Translate business needs into data analysis and actionable insights to optimize product performance and user experience for both existing and new products.
Work closely with product managers, engineers, and other cross-functional stakeholders to identify critical product questions and provide data-driven solutions.
Develop and maintain a scalable, reliable, and accurate analytics infrastructure to support product decisions.
Establish and maintain best practices for data collection, analysis, and reporting.
Deliver actionable insights and recommendations focused on landing tangible product impact.
Help foster a culture of data-driven decision-making and continuous improvement within the product teams.
Ensure the integrity and accuracy of the data used for analysis and reporting.
While the primary focus is on existing products, support 0 to 1 product launches by identifying key metrics and analyzing early-stage product data when applicable.
What You Bring:
Strong experience in product analytics or a similar data-focused role, with a proven ability to impact product strategy and decision-making through data.
Expertise in translating complex data into insights that are actionable for cross-functional teams.
Proficiency with data analytics tools and platforms (e.g., Looker, Amplitude) is a plus but not required. A focus on solving product challenges is more important than specific tool experience.
Experience in building and maintaining reliable analytics infrastructures.
Excellent communication skills, with the ability to clearly present data insights to both technical and non-technical stakeholders.
Experience with 0 to 1 product initiatives is a plus, though not required.
A high level of accountability, a passion for continuous learning, and the ability to thrive in a fast-paced, dynamic environment.
Qualifications:
Degree in Analytics, Applied Mathematics, Economics, Statistics, or related analytical field of study, or an equivalent combination of training and experience.
Deep experience in working with exploratory analysis projects related to cohorting, time series analysis, and funnel analysis/optimization is required.
Expert-level proficiency in influencing product strategy with SQL, A/B testing, machine learning, statistical analysis, and related tools like R, Python, SAS, etc., is required.
Previous or current experience supporting SaaS (Product-Led Growth) companies with uncovering gaps and recalibrating activation metrics (e.g., aha/habit moments) is a huge plus.
Experience with Product Analytics tools to track end-to-end journeys/funnels (e.g., Amplitude, Heap, Mixpanel) and analyzing events within those products is essential.
Proven ability to thrive in a fast-paced, dynamic startup environment with a high level of adaptability and a strong product sense, ensuring insights align with customer needs and product goals.
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)
$236,000 - $295,000 USD
Tier 2 Pay Range (All other US Locations)
$205,200 - $256,500 USD
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!
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Listed by Apollo for a position based in the United States. Employers on this board attest they are hiring domestically.
Staff Data Scientist - Product
Apollo · Remote, United States
Pay
$205k–295k
Setting
Remote
Listed by Apollo for a position based in the United States. Employers on this board attest they are hiring domestically.
Senior Solutions Consultant (Presales)
Apollo · Remote, United States
Pay
$185k–205k
Setting
Remote
Listed by Apollo for a position based in the United States. Employers on this board attest they are hiring domestically.
Go-To-Market Engineer II, Mid-Market
Apollo · Remote, United States
Pay
$150k–175k
Setting
Remote
Listed by Apollo for a position based in the United States. Employers on this board attest they are hiring domestically.
Go-To-Market Engineer II, Mid-Market
Apollo · Remote, United States
Pay
$150k–175k
Setting
Remote
Listed by Apollo for a position based in the United States. Employers on this board attest they are hiring domestically.
Senior Data Scientist - Product
Apollo · Remote, United States
Pay
$140k–200k
Setting
Remote
Listed by Apollo for a position based in the United States. Employers on this board attest they are hiring domestically.
Senior Data Scientist - Product
Apollo · Remote, United States
Pay
$140k–200k
Setting
Remote
Listed by Apollo for a position based in the United States. Employers on this board attest they are hiring domestically.
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