
Job Overview
Location
Remote - USA
Job Type
Full-time
Category
Software Engineering
Date Posted
May 25, 2026
Full Job Description
đź“‹ Description
- • Build and extend AI agent platform capabilities by developing new tools, APIs, data connectors, and integrations that enable autonomous AI agents to perform tasks without manual intervention.
- • Ship self-serviceable GTM tooling that allows non-technical users in Sales, Customer Success, and Marketing to create and manage their own AI-initiated LLM workflows.
- • Partner directly with AI Product Managers to translate roadmap blockers into well-scoped engineering deliverables with reliable timelines and clear outcomes.
- • Proactively identify and build reusable infrastructure components that accelerate multiple product workstreams simultaneously, increasing team-wide efficiency.
- • Own end-to-end reliability and observability for all systems you build, including monitoring, alerting, and incident response—no handoffs to separate ops teams.
- • Demo completed work every Friday to technical and non-technical stakeholders, ensuring alignment and visibility across the 700-person GTM organization.
- • Collaborate closely with engineering and product leadership to align platform development with CEO-level priorities and company-wide strategic goals.
- • Work with high autonomy and minimal oversight, taking full accountability for outcomes while proactively surfacing blockers before they impact delivery.
- • Use AI coding tools as force multipliers to enhance productivity without relying on them as substitutes for engineering judgment or system design.
- • Maintain strong written communication skills to produce clear specifications, async updates, and documentation that support cross-functional collaboration.
- • Ship real, production-grade AI products on a weekly cadence, prioritizing velocity and impact over theoretical perfection.
- • Focus on building systems that are used daily by enterprise GTM teams, ensuring solutions are practical, scalable, and directly tied to business outcomes.
- • Design and implement data pipelines that connect AI agents with internal and external systems, enabling seamless automation across CRM, email, calendar, and collaboration platforms.
- • Continuously improve platform capabilities by identifying gaps in agent functionality and translating user needs into actionable engineering initiatives.
🎯 Requirements
- • 6+ years of software engineering experience (strong internship and project portfolios considered)
- • Demonstrated experience building with LLMs, agents, or AI APIs in a real product context—show us something that shipped
- • Proficiency in Python; comfort picking up new frameworks quickly
- • Experience integrating external APIs and building data pipelines
- • Strong written communication—able to write clear specs and async updates
- • Ability to work with high autonomy, minimal oversight, and surface blockers proactively
🏖️ Benefits
- • Base salary range of $179,800–$258,500 USD
- • Eligibility for bonus or incentive compensation
- • Equity compensation
- • Comprehensive benefits package
Skills & Technologies
See exactly how your profile matches this role — strengths, skill gaps, and what to do about them.
About Abnormal Security Corporation
Abnormal Security Corporation provides cloud-native email security using behavioral AI to block business email compromise, phishing, malware, and socially-engineered attacks. The platform integrates via API with Microsoft 365 and Google Workspace, analyzing identity, content, and context to detect anomalies without altering mail flow. Founded in 2018 and headquartered in San Francisco, the company serves mid-market to Fortune 500 organizations, reducing risk, automating incident response, and providing visibility into human-targeted threats.
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