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Maven Clinic

Staff Security Engineer, Detection & Response

Maven Clinic is hiring a Staff Security Engineer, Detection & Response in New York, United States. It pays $221k-$299k a year and Level rates it ; you can apply on Maven Clinic.

Level's read on this job

  • On Level's scale, this cybersecurity role is Uses AI ●●○○: an ordinary role that requires AI tools.
  • Pay on this posting starts 38% higher than the typical cybersecurity posting on Level.
  • Some of the work can be done remotely, according to the posting.
  • The posting mentions LLMs, incident response and threat modeling among its tools and skills.
  • Maven Clinic has 29 other open roles on Level.

AI in this role

Lead incident detection and response while managing security risks related to LLMs, AI code, and agents.

LLMs
incident-responsethreat-modelingsecurity-engineeringapplication-security

Maven Clinic is the world's largest virtual clinic for women and families on a mission to make healthcare work for all of us. Through Maven Enterprise, the company partners with more than 2,300 employers and health plans to provide end-to-end women's and family health programs spanning fertility and family building, maternity and newborn care, parenting and pediatrics, and menopause and midlife — improving clinical outcomes, reducing healthcare costs, and expanding equitable access to high-quality care at scale. Through its consumer platform, Maven provides direct access to virtual care across 30+ specialties, as well as dedicated hormone and GLP-1 care programs purpose-built for women. Founded in 2014 by CEO Kate Ryder, Maven Clinic has raised more than $425 million from leading healthcare and technology investors including General Catalyst, Sequoia, Dragoneer Investment Group, Oak HC/FT, StepStone Group, Icon Ventures, and Lux Capital. Recognized for innovation and industry leadership, Maven has been named to the TIME100 Most Influential Companies, CNBC Disruptor 50, Fast Company's Most Innovative Companies, and FORTUNE Best Places to Work. Learn more at mavenclinic.com

An award-winning culture working towards an important mission – Maven Clinic is a recipient of over 30 workplace and innovation awards, including:

  • TIME 100 Most Influential Companies (2023, 2026)
  • Fortune Change the World (2024)
  • CNBC Disruptor 50 List (2022, 2023, 2024)
  • Fortune Best Workplaces for Millennials (2024)
  • Fortune Best Workplaces in Health Care (2024)
  • Fast Company Most Innovative Companies (2020, 2023)
  • Fortune Best Workplaces NY (2020, 2021, 2022, 2023, 2024)

About the Role

You'll own our Incident Detection and Response program, including threat modeling our systems and codebase and directing the investigation when something does happen. You'll join a team that includes an AppSec-focused engineer and an infrastructure-focused engineer, and you'll guide technical direction and judgment calls. You'll spend most of your time finding bugs in our code and gaps in our SDLC before they become incidents, then building and implementing or project managing the fixes yourself. AI is a growing part of that surface, and as our reliance on LLMs, AI-generated code, and agents expands, you'll be responsible for understanding and managing the risk that comes with it.

What You'll Own

Investigation & Technical Direction

  • Lead investigations hands-on. When an incident or suspicious finding comes up, you pull the logs, build the narrative of what happened, and advise business and engineering leaders on next steps.
  • Read production code when needed to understand what's actually happening.

Proactive Hunting & SDLC Hardening

  • When you're not investigating, hunt for bugs in our codebase and weaknesses in our SDLC where problems can slip past existing controls.
  • Propose and implement fixes yourself, or manage the resolution with the right teams, whether that's a specific code fix, a broader process or control change.
  • Partner with our Product Security Engineer on golden paths when a weakness points to a systemic gap.

Detection Engineering

  • Own and tune the detection logic running through 7AI, validating its investigations and escalations and setting the criteria for what triggers an alert.
  • Close gaps in logging and visibility so the tooling has the right data to work with.

Managing AI Risk

  • Help us understand and manage the security risks that come with our growing use of LLMs and AI tooling, both in what we build and what we adopt internally.

What We're Looking For

Required:

  • 6+ years of security experience combining hands-on software or AppSec depth with detection and SIEM engineering ownership.
  • Comfortable reading production code across multiple languages and stacks well enough to judge whether a finding is actually exploitable.
  • Experience building threat models of codebases, reasoning about attack surface, trust boundaries, and data flow well enough to anticipate where problems will emerge.
  • A track record of finding and fixing systemic weaknesses, whether they surfaced through an incident or through your own proactive review.
  • Strong communication skills, with enough credibility to direct an investigation and influence peers informally.

Strongly preferred:

  • Hands-on experience with AI-assisted security operations tooling, such as AI SOC platforms, LLM-based triage, or agentic escalation systems.
  • Interest or experience in securing AI and LLM-powered systems, including risks like prompt injection, model misuse, or agentic tool abuse.
  • Prior exposure to golden-path or secure-by-default infrastructure initiatives, even in a supporting role.
  • Experience with container or image security and the patching lifecycle.
  • A relevant certification such as GCIH, GCFA, GCDA, OSCP, or CISSP.

The base salary range for this role is $221,000 - $299,000 per year. You will also be entitled to receive equity and benefits. Individual pay decisions are based on a number of factors, including qualifications for the role, experience level, and skillset.

Maven embraces a flexible hybrid work model. Our teams primarily operate from the New York Metropolitan area, NY, and remotely via San Francisco/Bay Area, CA, Seattle, WA. For those in our New York City office, we encourage in-person collaboration by requiring team members to work onsite three days a week (Tuesday, Wednesday, Thursday). For those based in Boston, DC, Chicago, Seattle, and San Francisco, we encourage in-person collaboration by requiring team members to attend monthly Work Together Days within these cities. This policy aims to balance remote work flexibility with the benefits of face-to-face interaction.

At Maven we believe that a diverse set of backgrounds and experiences enrich our teams and allow us to achieve above and beyond our goals. If you do not have experience in all of the areas detailed above, we hope that you will share your unique background with us in your application and how it can be additive to our teams.

Benefits That Work For You

Our benefits are designed to support your health, well-being and career development, helping you thrive both personally and professionally. We remain focused on providing a competitive benefits package for our employees. On top of standards such as employer-covered health, dental, and insurance plan options, we offer an inclusive approach to benefits:

  • Maven for Mavens: access to the full platform and specialists, including care for mental health, reproductive health, family planning and pediatrics.
  • Whole-self care through wellness partnerships
  • Hybrid work, in office meals, and work together days
  • 16 weeks 100% paid parental leave and new parent stipend (for Mavens who've been with us for 1 year+)
  • Annual professional development stipend and access to a personal career coach through Maven for Mavens
  • 401K matching for US-based employees, with immediate vesting

These benefits are applicable to Maven Clinic Co., US-based, full-time employees only. 1099/Contract Providers are ineligible for these benefits.

Maven is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. Maven is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Maven Clinic interview requests and job offers only originate from an @mavenclinic.com email address (e.g jsmith@mavenclinic.com). Maven Clinic will never ask for sensitive information to be delivered over email or phone. If you receive a scam issue or a security issue involving Maven Clinic please notify us at: security@mavenclinic.com. For general and additional inquiries, please contact us at careers@mavenclinic.com.

How we rate this

Staff Security Engineer, Detection & Response at Maven Clinic rates 45 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.

Classification

Uses AI. An ordinary role that requires AI tools.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Incident ResponseThreat ModelingSecurity EngineeringApplication SecurityLLMs

Also common in cybersecurity jobs at this level

Pay

This job starts at
$221k
Typical cybersecurity job
$160k

This posting starts 38% above the typical cybersecurity job. See cybersecurity jobs

Questions you could be asked

  1. Tell me about a project where incident response was part of your work. What did you do?
  2. Tell me about a project where threat modeling was part of your work. What did you do?
  3. Tell me about a project where security engineering was part of your work. What did you do?
  4. Tell me about a project where application security was part of your work. What did you do?
  5. Walk me through how you've used LLMs in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Incident Response, Threat Modeling, Security Engineering, Application Security, and LLMs. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.

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