Product Engineer

Job not on LinkedIn

🕒 4 days ago

🏄 California – Remote

🏄 California – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 12%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Mimic Networks

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2023

🔒 Cybersecurity

🏢 Enterprise

Cybersecurity • Enterprise

Mimic Networks is an enterprise security company that implements kernel-level known-good enforcement to block unauthorized changes before they execute. Mimic profiles a system’s authorized operational baseline and evaluates every kernel-level change (file writes, registry modifications, driver loads, process actions) against that baseline at Ring 0, enforcing via a Windows file system mini-filter driver and eBPF on Linux, with enforcement logic in a WebAssembly sandbox written in Rust. Built to stop novel exploits, signed binaries performing unauthorized actions, rogue AI agents, and misconfigured scripts, its core capabilities include Ransomware Defense, AI Shield (governing AI agent actions), Virtual Patching, and Change Control. Founded in 2023 and headquartered in Palo Alto, Mimic has raised $77M in a Series A led by GV and Menlo Ventures, with board members including Kevin Mandia and Ted Schlein.

📋 Description

• Design, build, and ship customer-facing full-stack features for established and early-stage products • Build and integrate AI-native capabilities, including LLM-powered workflows, AI agents, and intelligent automation • Drive technical execution across prototyping, architecture, implementation, testing, deployment, and iteration • Design systems coordinating AI models, tools, and workflows for reliability, latency, scalability, and production correctness • Analyze product behavior, gather customer feedback, and improve AI experiences through experimentation and evaluation • Collaborate with engineering, design, product, sales, customers, and internal stakeholders • Design secure, reliable, scalable products for large enterprise customers and complex IT environments • Gather customer feedback, identify pain points, and translate them into product experiences • Establish and refine development workflows, tooling, and processes to improve engineering velocity • Evaluate technologies, make architectural trade-offs, and contribute to product strategy • Own work from ideation to launch while balancing customer needs, technical excellence, and business objectives

🎯 Requirements

• 5+ years of software engineering experience, ideally building full-stack products in startup or high-growth environments • Strong full-stack engineering skills with experience building production-grade applications and shipping customer-facing products • Experience building or integrating AI-powered products, including AI agents, LLM-based applications, orchestration frameworks, or intelligent workflows • Experience building products for enterprise environments, with understanding of scalability, security, and complex customer requirements • Strong product mindset and ability to work closely with customers and cross-functional teams • Excellent communication skills with ability to explain technical concepts to technical and non-technical stakeholders • Experience across the product development lifecycle, from rapid prototyping to production deployment and iteration • Bonus: experience building AI agents or agentic systems for enterprise applications • Bonus: experience with AI orchestration frameworks and agent execution systems • Bonus: experience designing evaluation, experimentation, or feedback-loop systems for AI-powered products • Bonus: experience at an early-stage startup or as one of the first engineering hires on a new product team • Bonus: experience designing and shipping AI-native user experiences leveraging modern LLM technologies

🏖️ Benefits

• Remote flexibility • Quarterly off-sites • Competitive salary • Meaningful equity • Autonomy • Strong mentorship • Fun, collaborative culture • Continuous learning opportunities

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume