Product Engineer (AI)

Job Description

About Mimic

\n

Mimic enforces a known-good state across enterprise server environments. If a change isn't authorized, it doesn't happen.

\n

\n

Led by a team with experience scaling and exiting billion-dollar companies, and backed by leading Silicon Valley investors like Google Ventures and Menlo Ventures , Mimic has raised $77M and earned recognition as one of CRN’s 10 Hottest Cybersecurity Startups of 2025 and a spot on Redpoint’s InfraRed 100 list of transformative cybersecurity companies.

\n

\n

We’re a remote-first, high-performance team blending startup energy with seasoned leadership. We move fast, tackle complex security challenges, and foster a culture that values collaboration, autonomy, and continuous learning.

\n

\n

If you’re excited to work alongside some of the most talented minds in the industry, grow your skills, and be part of something truly impactful, Mimic could be the right place for you.

\n

\n

About the Role

\n

At Mimic, we’re rethinking ransomware defense. As a Product Engineer , you'll help build the next generation of AI-powered security products—from developing customer-facing features for mature offerings to creating entirely new capabilities from the ground up.

\n

\n

This role is ideal for an engineer who thrives at the intersection of product and engineering. You'll move quickly from idea to implementation, building full-stack products and AI-native experiences that solve real customer problems. You'll work in a fast-moving, ambiguous environment with tight feedback loops, partnering closely with customers and cross-functional teams to rapidly iterate on what works.

\n

\n

You'll help define how AI agents operate in enterprise environments—building intelligent workflows, orchestration systems, and product experiences that are reliable, scalable, and production-ready. Your work will directly influence how customers interact with our products and how we continue to push the boundaries of AI-powered cybersecurity.

\n

\n

What You’ll Do

\n

Build Full-Stack Products: Design, build, and ship customer-facing features across the stack for both established and early-stage products. Take ideas from concept to production with a focus on speed, quality, and customer impact.

\n

Develop AI-Powered Experiences: Build and integrate AI-native capabilities, including LLM-powered workflows, AI agents, and intelligent automation designed for enterprise environments.

\n

Own Product Development: Drive technical execution across the entire product lifecycle—from prototyping and architecture decisions to implementation, testing, and deployment.

\n

Design Reliable AI Systems: Build systems that coordinate AI models, tools, and workflows while optimizing for reliability, latency, scalability, and production correctness.

\n

Experiment and Iterate Quickly: Analyze real-world product behavior, gather customer feedback, and continuously improve AI experiences through experimentation, evaluation, and rapid iteration.

\n

Collaborate Cross-Functionally: Partner closely with engineering, design, product, sales, and customers to understand requirements and deliver scalable solutions that solve real-world problems.

\n

Build for Enterprise Scale: Design products that are secure, reliable, and scalable for large enterprise customers across complex IT environments.

\n

Solve Customer Problems: Engage directly with customers and internal stakeholders to gather feedback, identify pain points, and translate them into thoughtful product experiences.

\n

Improve Engineering Velocity: Establish and refine development workflows, tooling, and processes that enable rapid iteration and high-quality product delivery.

\n

Drive Technical Decisions: Evaluate technologies, make architectural trade-offs, and contribute to product strategy in a fast-moving startup environment.

\n

Own Outcomes: Take ownership of your work from ideation to launch, balancing customer needs, technical excellence, and business objectives.

\n

\n

What We’re Looking For

\n

\n
• 5+ years of software engineering experience, ideally building full-stack products in startup or high-growth environments.
\n
• Strong full-stack engineering skills with experience building production-grade applications and shipping customer-facing products.
\n
• Experience building or integrating AI-powered products, including familiarity with AI agents, LLM-based applications, orchestration frameworks, or intelligent workflows.
\n
• Experience building products for enterprise environments, with an understanding of scalability, security, and complex customer requirements.
\n
• Strong product mindset—you enjoy working closely with customers and cross-functional teams to build products that solve meaningful problems.
\n
• Excellent communication skills with the ability to explain technical concepts clearly to both technical and non-technical stakeholders.
\n
• Experience working across the product development lifecycle, from rapid prototyping to production deployment and iteration.
\n

\n

\n

Bonus Points

\n

\n
• Experience building AI agents or agentic systems for enterprise applications.
\n
• Experience with AI orchestration frameworks and agent execution systems.
\n
• Experience designing evaluation, experimentation, or feedback-loop systems for AI-powered products.
\n
• Experience building products at an early-stage startup or as one of the first engineering hires on a new product team.
\n
• Experience designing and shipping AI-native user experiences that leverage modern LLM technologies.
\n

\n

\n

Why Join Mimic?

\n

\n
• Join a cybersecurity company tackling one of today’s most urgent challenges: stopping ransomware before it starts.
\n
• Work with a leadership team that scaled and exited billion-dollar companies, backed by Google Ventures and Menlo Ventures, with $77M in funding and a clear path to scale.
\n
• Enjoy autonomy, strong mentorship, and a fun, collaborative culture, with remote flexibility and quarterly off-sites.
\n
• Competitive salary, meaningful equity, and a chance to shape the future of enterprise cybersecurity.
\n

\n