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Requirements:
At least 4 years of experience in software development, designing, building, and operating production backend services.
Python Expertise: Strong professional background with a focus on modern, asynchronous Python.
Agentic AI Experience: Proven experience building LLM-powered agents in production - tool calling, multi-step reasoning, structured outputs - not just API wrappers or chatbots.
Evaluation Mindset: You treat prompts and agents as systems to be measured, not vibes to be tuned. Experience with eval frameworks, tracing, or LLM observability.
System Design: You can reason about latency, cost, reliability, and failure modes of LLM-based systems at scale.
Problem Solver: A fast learner with outstanding problem-solving skills who thrives in a "zero legacy" environment.
Team Player: A collaborative engineer with a focus on collective success and technical excellence.
Nice-to-Have:
Experience with Temporal or similar distributed workflow engines.
Experience with static analysis, program comprehension, or codebase-scale retrieval.
Background in cybersecurity or application security products.

Requirements:
At least 4 years of experience in software development.
Python Expertise: Strong professional background with a focus on modern, asynchronous Python and FastAPI.
AI Systems: Proven experience building with LLMs and RAG architectures, focusing on system design over simple prompting.
Data Mastery: Strong command of relational databases, specifically PostgreSQL and modern ORMs like Drizzle.
Problem Solver: A fast learner with outstanding problem-solving skills who thrives in a "zero legacy" environment.
Team Player: A collaborative engineer with a focus on collective success and technical excellence.
Nice-to-Have:
Experience with Temporal or similar distributed workflow engines.
Background in cybersecurity or application security products.

Requirements:
8+ years of experience in product design, preferably in the cyber security industry.
A strong portfolio that demonstrates product thinking, interaction design, and visual craft.
Comfortable owning the entire design process in a startup or small-team environment.
Able to move between high-level strategy and pixel-perfect execution.
Collaborative, curious, and able to communicate design decisions clearly.

Requirements:
Experience. 8+ years in security research, vulnerability analysis, or applied security engineering.
Startup DNA. You have worked in an early stage or 0 to 1 environment. Comfortable with ambiguity, shipping without a big org behind you, and changing direction when the data says so. This is a requirement, not a bonus.
Research to product track record. You have turned research into things that shipped: features, tools, detections in production. Not just papers or reports.
Technical depth. Deep expertise in modern application stacks (microservices, containers, cloud platforms). You understand how these systems actually break.
Builder skills. Strong programming ability in at least one modern language (Python, Go, TypeScript). Comfortable writing production quality code.
Data rigor. Experience designing experiments, building datasets or benchmarks, and measuring quality quantitatively. You do not ship on vibes.
LLM fluency. Hands on experience applying LLMs to real problems, whether evaluation, prompting, fine tuning, or agentic systems, or a demonstrated ability to get there fast.
Proven findings. A history of discovering serious vulnerabilities (CVEs welcome) and responsible disclosure.
Communication. You can explain a complex attack and its real impact clearly to engineers, executives, and customers.
Work authorization. Permanent authorization to work in the US for the San Francisco role, or in Israel for the Israel role.