Sr. Security Engineer II

Posted 2 Months Ago
Easy Apply
Boston, MA, USA
Hybrid
121K-226K Annually
Senior level
Artificial Intelligence • Cloud • Insurance • Software • Database • Conversational AI • Generative AI
Hi Marley is the intelligent communication platform for P&C insurance.
The Role
Secure Hi Marley’s internal AI environment by threat-modeling LLM integrations, agents, MCP connectors, and data pipelines; enforcing isolation, least privilege, and data boundaries; conducting AI red-team testing; managing AI tool governance; maintaining incident response runbooks; and producing SOC 2 and ISO 42001 compliance evidence. Partner with AI Operations and IT on access controls, cloud workload isolation, DLP, monitoring, and safe AI usage guidance.
Summary Generated by Built In

Insurance plays an important role in people’s lives, providing protection and peace of mind through life’s adventures and unexpected turns. In the moments that matter, people want to know their insurer is there for them. At Hi Marley, we help insurers deliver on that promise through communication that brings greater clarity and connection to the policyholder experience.  

About the role

Our teams are building LLM integrations, agents, and MCP connectors into the tools they use every day, and you'll make sure they do it securely. You'll work side by side with the people building those tools, shaping the security architecture of our corporate and cloud environment and writing the guardrails that let teams move quickly without reinventing controls. You don't need to be an AI security specialist. If you think in systems, write real code, and want to learn the AI attack surface by doing, you'll love this role.

What you'll do
  • Shape the security architecture of our corporate and cloud environment, from identity and SaaS configuration to the AWS accounts behind our business and AI tools
  • Build guardrails as code with Terraform and policy tooling, and lead threat modeling and design reviews before new tools go live
  • Secure our agentic workloads with isolation, scoped credentials, and data boundaries, and help test them against risks like prompt injection
  • Design controls that produce audit evidence by default for our SOC 2 Type II and ISO 42001 programs
What you'll bring
  • 5+ years in security engineering, cloud security, or infrastructure security, including leading threat modeling and design reviews
  • Hands-on experience securing AWS and corporate identity, plus strong Python and security controls built as code with Terraform or similar
  • A track record running vulnerability management and producing audit evidence for SOC 2, ISO 27001, or a similar framework, and explaining risk clearly to engineers and auditors alike
  • Real interest in how AI changes the attack surface, and able to work from our Boston office 3 days a week
Nice to have
  • Experience securing LLM-based systems, agent frameworks, or MCP connectors
  • Familiarity with ISO/IEC 42001 or the NIST AI RMF
  • Detection engineering or SIEM experience in cloud and SaaS environments
Compensation, Benefits & Perks:

At Hi Marley, we are committed to fair and transparent pay practices. The annual base salary for this role is expected to fall within the range of [$121,000-$200,000], depending on experience, skills, qualifications, and location. Offers are determined based on these factors as well as internal peer equity. It's most common for new hires to start near the midpoint of the range, allowing room for growth as employees develop in their role. 

In addition to base pay, we support your wellbeing and growth with: 

  • Equity grants for all employees 
  • 401(k) with a 4% employer match 
  • Medical, dental, vision, disability, and life insurance for employees working 30+ hours per week 
  • Monthly wellness and annual professional development stipends 
  • Paid parental leave 
  • Flexible Time Off to recharge, plus enjoy Wind-down Week, our annual year-end company shutdown

Who We Are: 
 
Three core values guide how we work: 

  • Max Courage: Dream big, try new ideas, and take measured risks to maximize impact. 
  • Be Humble: Lead with appreciation, compassion, and openness to learn from anyone, anywhere. 
  • Ubuntu: Align behind a shared purpose to achieve our fullest potential together. 

Life at Hi Marley combines meaningful work with clear expectations. We communicate openly and with care, stay curious, take ownership, and value every perspective. Our flexible, hybrid environment is built on trust, accountability, and mutual support—both at work and when life needs our attention.  

Hi Marley is proud to be an equal employment opportunity employer. We celebrate diversity and do not discriminate based on gender, sexual orientation, gender identity, religion, race, veteran status, disability status, or any other characteristic protected by applicable law. We are committed to building an inclusive work environment representing a variety of backgrounds, perspectives, and skills, where all employees are encouraged to be their authentic selves. 

Skills Required

  • 5+ years of experience in security engineering, application security, or infrastructure security
  • Hands-on exposure to AI/ML systems
  • Experience securing or building LLM-based systems, agentic frameworks, or ML pipelines in cloud environments
  • Understanding of AI-specific attack surfaces, including prompt injection, tool-use exploitation, privilege escalation, data poisoning, and model or training-data leakage
  • Hands-on experience building with AI systems
  • Strong proficiency in Python
  • Experience building security tooling, automation, and testing
  • Strong working knowledge of AWS security, including IAM, networking, container isolation, encryption, and monitoring
  • Familiarity with SOC 2, ISO 27001, ISO 42001, and NIST AI RMF
  • Ability to communicate technical risk clearly to engineers, auditors, and stakeholders
  • Experience running or contributing to AI red-teaming or adversarial testing
  • Experience with MCPs, agent orchestration frameworks, or similar agentic infrastructure
  • Background in DLP, monitoring, or observability for AI or cloud workloads
  • Experience at a growth-stage B2B SaaS company

What the Team is Saying

Dan
Nick
Julia
Michele
Jazz
Laurie
Angela
Carter
Dave
Kayla
Allison
Meg
Nick
Christina
Tres
Jennelle
Stefanie

Hi Marley Compensation & Benefits Highlights

  • Healthcare Strength — Coverage begins on day one and includes medical, dental, and vision with HSA/FSA options, plus mental-health resources. Inclusive care such as fertility benefits, transgender health care, and abortion travel benefits further expand breadth.
  • Parental & Family Support — Paid parental leave is described as up to 14 weeks at 100% base pay for birth parents and six weeks for adoption, foster care, or bonding. Return-to-work support and family-friendly resources are also highlighted.
  • Retirement Support — A 401(k) program with a 100% employer match on the first 4% of compensation and immediate vesting is cited across listings. This structure strengthens long-term savings for employees.

Hi Marley Insights

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The Company
HQ: Boston, MA
140 Employees
Year Founded: 2017

What We Do

Hi Marley is the Intelligent Communication Platform for P&C Insurance. Founded in 2017 and headquartered in Boston, Hi Marley helps carriers deliver better insurance experiences through communication that is simple, connected, and built for the way P&C teams work. Trusted by more than 130 carriers, including 4 of the top 10, Hi Marley connects carriers and the insurance ecosystem in a single conversation, applying AI responsibly to reduce friction, move work forward, and support policyholders when it matters most

Why Work With Us

Our team is made up of people who care about each other and are passionate about what we do in and outside of work. We promote a culture of continuous learning, always seeking ways to be better for ourselves, our team and our customers. Creativity is encouraged and valued throughout the company and is paramount to our innovation.

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Hi Marley Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

We thrive on teamwork and shared enthusiasm, which is why we are in the office for two days each week.

Typical time on-site: 2 days a week
Company Office Image
HQBoston, MA

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