S

Secure Code Warrior

Platform for enterprise secure coding training

Business Development Representative - BDR

Full-Time
No salary listed
Mid
Remote in USA
Remote
Sales & Account ManagementSales Development Representative

About the job

Requirements
  • Prior business development representative, sales, or outbound prospecting experience is preferred, although strong outbound work ethic and coachability matter more than years of experience.
  • Comfort with structured, highly personalized outbound activity including calls, emails, social outreach, and account-based targeting.
  • Proficiency using artificial intelligence tools to research accounts and personalize outreach efficiently.
  • Familiarity with Salesforce and standard sales engagement tooling, or the ability to ramp quickly.
Responsibilities
  • Execute highly personalized outbound prospecting across a defined United States territory.
  • Build and run multichannel, multitouch sequences using email, phone, and LinkedIn tailored to security and developer buyer personas, including chief information security officers, application security leaders, and engineering leadership.
  • Research target accounts before outreach, including organizational structure, technology stack signals, trigger events, and relevant stakeholders.
  • Deliver productive meetings, both booked and occurred, against monthly and quarterly targets.
  • Work from curated target account lists, prioritizing outreach based on account tier, intent data, and campaign engagement.
  • Coordinate outbound timing and messaging with active account-based marketing campaigns.
  • Provide feedback to Revenue Marketing on account list quality, messaging resonance, and signal accuracy to improve targeting.
  • Qualify inbound and marketing-sourced leads promptly and accurately and ensure clean handoff to the appropriate account executive.
  • Maintain accurate, up-to-date activity and disposition records in Salesforce.
  • Partner with United States account executives on account strategy and meeting handoff quality.
  • Work with the business development representative team lead on territory planning and prioritization.
Desired Qualifications
  • Interest in security or developer-tooling is a plus.

About the company

S

Secure Code Warrior

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Website

Secure Code Warrior provides an agile platform for secure coding training aimed at enterprise software teams. It uses a mix of explanation videos and hands-on challenges across 60+ languages/frameworks to help developers reduce code vulnerabilities. Subscriptions give enterprises access to learning paths, role-based activities, and tools like a security maturity quiz to assess progress. The goal is to help organizations improve security by continuously training developers and measuring improvement.

Company Size

201-500

Company Stage

Series C

Total Funding

$104.4M

Headquarters

Sydney, Australia

Founded

2015

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Simplify Jobs

Simplify's Take

What believers are saying

  • May 13, 2026 AWS agreement expands enterprise distribution into generative-AI builders already on Bedrock.
  • June 23, 2026 AI Adoption Model targets CISOs governing agentic-development risk budgets.
  • September 16, 2026 Gartner named SCW for Agentic Coding Security and Training.

What critics are saying

  • Revelio Labs shows headcount fell 19.8% from 289 in 2023 to 231 in 2026.
  • September 2026 trust-agent pivot chases crowded rivals Snyk, Check Point, Cycode, and KnowBe4.
  • If AI governance suites bundle training, SCW becomes a feature, not a platform.

What makes Secure Code Warrior unique

  • Trust Agent:AI traces AI influence at commit level across development workflows, launched March 17, 2026.
  • AWS collaboration delivers Bedrock security labs for Terraform, prompt injection, and excessive agency.
  • KnowBe4 partnership distributes interactive secure-coding content across 10 languages and eight spoken languages.

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Benefits

  • Flexible Work Hours
  • Remote Work Options

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

0%

2 year growth

0%
SD Times
Sep 15th, 2026
Secure Code Warrior launches Citizen AI cybersecurity training.

Secure Code Warrior launches Citizen AI cybersecurity training. Secure Code Warrior, a leader in AI software governance and developer security upskilling, today announced Citizen AI by Secure Code Warrior, a new AI literacy program designed specifically for non-developer employees to help organizations build a workforce ready for responsible AI adoption. Citizen AI helps organizations reduce AI-related human risk, support broader enterprise AI governance initiatives, increase employee confidence when using AI and accelerate the safe adoption of AI-powered workflows. AI adoption is accelerating faster than enterprise AI readiness. Employees across marketing, finance, HR and operations are already building automations, sharing data with AI tools and acting on AI outputs. Kyndryl's People Readiness Report states that 57% of organizations have AI embedded in core business processes or deployed broadly across the enterprise, but only 23% think their workforces are ready for AI. Citizen AI helps employees across departments prepare to use AI securely, responsibly and confidently at work. Most AI governance efforts focus heavily on policies, platforms and technical controls, but the people using AI every day can still unintentionally expose sensitive data, grant excessive permissions or trust inaccurate outputs in the context of their role. Secure Code Warrior's program focuses on the AI tools, workflows and automations employees use in their day-to-day work. Through practical learning and real-world scenarios, employees can learn how to automate tasks, recognize common AI risks, protect sensitive information and understand identity, credentials and access while using AI-powered tools. "For years, organizations have approached AI readiness primarily through a technical view, with role-based risk use cases largely not considered beyond the development team," said Matias Madou, Secure Code Warrior co-founder and Chief Technology Officer. "Employees across business functions are already using AI, but the main question is whether they've been trained to use it well. With Citizen AI, we're helping organizations move beyond policies and awareness to build the responsible habits employees need to use AI safely in the real world." Citizen AI is designed for non-developer audiences and combines practical guidelines, videos and interactive learning experiences. Available now, the new curriculum offers organizations tailored learning tracks that evolve alongside the pace of AI, with more courses and learning modules coming soon. Topics at launch include: Understand How AI Automations Work: Safely build AI workflows and understand the anatomy of a connected AI setup. | Create Smart AI Prompts and Verify Its Outputs: What a hallucination is, why they happen, and how to evaluate inaccuracies. Use provenance prompting to understand where claims come from. | Manage AI Artifacts and Automations: The risks of third-party automations, invisible dependencies and sharing AI projects, conversations and other artifacts. | Recognize Vibe-Coding Risks: The major security risks of vibe-coded websites and applications, including when projects need technical expertise to be made safe and secure. Citizen AI complements Secure Code Warrior's broader investment in helping organizations adopt AI securely and responsibly across core areas: | Citizen AI: practical AI literacy for employees across the business. | AI Security Learning: helping developers securely use agentic coding tools, review AI-generated code and build AI-powered applications. | AI Usage Monitoring: providing visibility into how AI tools and MCPs are being used across the SDLC to help organizations understand adoption and identify potential risks.

Yahoo Finance
Jul 21st, 2026
Secure Code Warrior finds AI-generated code averages 15 vulnerabilities per codebase

Secure Code Warrior has launched the SCW AI Trust Index, a benchmark revealing that AI-generated code contains an average of 15 vulnerabilities per codebase, with 4.3 classified as severe. The research, developed with RMIT University, evaluated 1,760 codebases created by 16 models from OpenAI, Anthropic, Google, Alibaba, and others. The index shows security risks vary predictably by model and framework, allowing organisations to identify recurring vulnerability patterns. Rather than ranking models, the tool helps security leaders manage risks from AI coding assistants already deployed by developers. "Every AI model we tested leaves a predictable, repeatable pattern of security gaps," said Pieter Danhieux, Secure Code Warrior's co-founder and chief executive officer. The living benchmark updates as new models emerge, providing organisations with data to implement appropriate guardrails for AI-assisted development.

Business Wire
Jun 23rd, 2026
Secure Code Warrior launches AI adoption model to help firms govern agentic development lifecycle

Secure Code Warrior, a leader in AI software governance and developer security upskilling, has introduced its AI Adoption Model to help organisations navigate AI integration in software development. The framework maps AI use progression from minimal assistance to fully autonomous agentic orchestration. The model organises AI development into three phases: AI-Assisted, AI Native and Agentic. Each phase defines distinct risk levels, developer skills requirements and governance controls, enabling CISOs to connect AI usage with developer capability and software risk signals. The framework addresses growing concerns about AI expanding attack surfaces faster than traditional controls can scale. Gartner predicts over 40% of agentic AI projects will be abandoned by 2027 due to uncontrolled costs and poor risk controls, making developer training essential for secure AI adoption.

Digital IT News
Jun 23rd, 2026
SCW AI Adoption Model: Secure AI for the Agentic SDLC.

SCW AI Adoption Model: Secure AI for the Agentic SDLC. Secure Code Warrior has launched its SCW AI Adoption Model, a practical framework that outlines the full evolution of AI in software development - from minimal AI support to fully autonomous, agent-driven orchestration. The model helps CISOs understand their organization's current stage of AI adoption, determine the training developers need at each level, and define the governance controls required as autonomy grows, addressing the key question security leaders are asking: where to begin. Gartner's 2026 Hype Cycle for Secure Software Engineering warns that AI-augmented development is 'expanding the attack surface faster than traditional controls can scale,' and that AI coding tools are making secure coding skills more important than ever. Machine Learning & Artificial Intelligence AI adoption is no longer confined to engineering: non-developer employees building applications with no-code and vibe coding tools still contribute to an organization's risk profile. The SCW AI Adoption Model organizes AI development into three phases: AI-Assisted, AI Native, and Agentic. Each phase carries distinct risk levels, developer skills requirements, and governance controls, giving CISOs a clear way to connect AI usage, developer capability, and software risk signals. This allows security leadership to measure, reduce, and govern risk while demonstrating progress in securing the Software Development Lifecycle (SDLC) as it transitions to the more relevant Agentic Development Lifecycle (ADLC). "In our current AI-powered development, writing lines of code is almost free, but developers are still on the hook for secure outcomes. Their security skills need to evolve from code writer to creator & orchestrator," said Pieter Danhieux, Secure Code Warrior Co-founder & CEO. "CISOs need an approach to ADLC governance that is as modern as the methodology itself, one that follows an adoption model designed for agentic AI's evolving, adaptive approach to software development. We've built this framework to help organizations turn secure AI adoption and AI governance from a reactive exercise into a measurable, scalable discipline." As security leaders need data-driven insights to inform their AI cost decision-making, this new framework provides organizations the insight needed to safely address risk correlation. With the SCW AI Adoption Model, organizations can: * Identify their current AI adoption stage: Not all AI use carries the same risk. The model gives organizations a clear map to help them identify where they are, what training is required, and what governance controls need to be in place at that stage. * Deliver training that meets developers where they are: Not every developer has the same skill level or uses AI the same way. SCW maps capability, risk, and training to each adoption phase - giving developers the specific AI security skills that apply to how they actually work. * Demonstrate governance ROI: Gartner predicts that by 2027, more than 40% of agentic AI projects will be abandoned because of uncontrolled costs and poor risk controls. The answer isn't more AI catching AI mistakes - it's training developers to use AI correctly from the start, producing secure code, avoiding repeated vulnerabilities, and using AI efficiently enough to keep costs under control. SCW provides the tools and training to prove that behavior change is making an impact. To learn more about the SCW AI Adoption Model, explore the full framework at the website here. https://www.securecodewarrior.com/solution/scw-ai-adoption-model

Goldin Digital Publishing Inc.
Jun 23rd, 2026
Secure Code Warrior Releases AI Adoption Model

Secure Code Warrior releases AI Adoption Model. June 23, 2026 Secure Code Warrior introduced its new SCW AI Adoption Model, a practical framework that maps the full progression of AI use in software development, from minimal AI assistance or fully autonomous agentic orchestration. The framework gives CISOs a roadmap to identify where their organization sits today from an AI adoption perspective, the training developers need at each stage, and which governance controls are required as autonomy increases - answering the question every security leader is asking: where do DevOps Digest start? The SCW AI Adoption Model organizes AI development into three phases: AI-Assisted, AI Native, and Agentic. Each phase carries distinct risk levels, developer skills requirements, and governance controls, giving CISOs a clear way to connect AI usage, developer capability, and software risk signals. This allows security leadership to measure, reduce, and govern risk while demonstrating progress in securing the Software Development Lifecycle (SDLC) as it transitions to the more relevant Agentic Development Lifecycle (ADLC). "In our current AI-powered development, writing lines of code is almost free, but developers are still on the hook for secure outcomes. Their security skills need to evolve from code writer to creator & orchestrator," said Pieter Danhieux, Secure Code Warrior Co-founder & CEO. "CISOs need an approach to ADLC governance that is as modern as the methodology itself, one that follows an adoption model designed for agentic AI's evolving, adaptive approach to software development. We've built this framework to help organizations turn secure AI adoption and AI governance from a reactive exercise into a measurable, scalable discipline." With the SCW AI Adoption Model, organizations can: - Identify their current AI adoption stage: Not all AI use carries the same risk. The model gives organizations a clear map to help them identify where they are, what training is required, and what governance controls need to be in place at that stage. - Deliver training that meets developers where they are: Not every developer has the same skill level or uses AI the same way. SCW maps capability, risk, and training to each adoption phase - giving developers the specific AI security skills that apply to how they actually work. - Demonstrate governance ROI: SCW provides the tools and training to prove that behavior change is making an impact. The SCW AI Adoption Model is now available. Industry news. June 23, 2026 The Linux Foundation, the nonprofit organization enabling mass innovation through open source, announced the intent to launch the Agent Name Service (ANS), a new open standard designed to provide trusted identity, verification, and discovery for AI agents operating across the internet. June 23, 2026 Secure Code Warrior introduced its new SCW AI Adoption Model, a practical framework that maps the full progression of AI use in software development, from minimal AI assistance or fully autonomous agentic orchestration. June 23, 2026 Snyk announced Evo Agentic Development Security (ADS), extending security coverage to the AI workforce powering modern software development. June 23, 2026 Momentic launched a major platform update that rethinks software verification for the AI era. June 22, 2026 Check Point(R) Software Technologies Ltd.(link is external) announced the use of OpenAI's frontier cyber capabilities into its customer-facing defenses. June 22, 2026 TypeMock announced the launch of TypeMock Test Review, a new solution that helps software development teams evaluate the quality of their unit tests by identifying duplicate, fragile, ineffective, and high-maintenance tests that wasn't required before AI generated tests. June 18, 2026 Check Point(R) Software Technologies Ltd.(link is external) announced its upcoming integration with Amazon Bedrock AgentCore. June 18, 2026 UltraViolet Cyber (UltraViolet) announced the launch of UltraViolet Solstice, its proprietary AI platform for application penetration testing. June 18, 2026 Infragistics launched three integrated AI development tools that make up its new Ignite UI Enterprise MCP toolchain. June 17, 2026 Check Point(R) Software Technologies Ltd.(link is external) and Illumio announced an expanded strategic partnership(link is external) to help organizations defend against a new category of threat: frontier AI models capable of autonomously executing full-scale attacks at machine speed. June 17, 2026 At the AWS Summit, Amazon announced a series of innovations focused on giving AI agents the governed context they need to deliver trusted decisions, including a new service called AWS Context, business context and semantic search for AWS Glue Data Catalog (preview), and the general availability of Amazon S3 annotations. June 17, 2026 Postman has achieved the Amazon Web Services (AWS) AI Competency in the Agentic AI Tools category. June 17, 2026 Azul launched a free JVM vulnerability risk assessment to address the blind spot that autonomous AI exploitation tools are increasingly able to find. June 17, 2026 Prismatic has open-sourced its entire library of pre-built Application Connector and Data Platform components under the Apache-2.0 license, making the code freely available for developers to read, fork and extend. June 16, 2026 Check Point(R) Software Technologies Ltd.(link is external) announced a major expansion of its Managed Service Provider (MSP) platform.