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Remote Bot Detection Jobs (NOW HIRING)

$97K - $128K/yr

... detection. Working in a globally distributed, remote-first environment, you will collaborate closely with engineering, data science, and go-to-market teams to build scalable, developer-centric ...

Software Engineer III

Reston, VA · On-site +1

$59.75 - $80.25/hr

Candidates near our Somerville, MA or Reston, VA offices are preferred but remote work it potential ... Proven ability to bypass high-level bot detection (e.g., Cloudflare, Akamai, or PerimeterX)

Voice Bot Engineer

Manhattan, NY · Remote

$120K - $140K/yr

This is a remote opportunity to work from home. What You'll Do: Architect and implement robust ... Exposure to sentiment detection and emotion‐aware dialogue systems. **Please note that the ...

$120K - $140K/yr

This is a remote opportunity to work from home. What You'll Do: * Architect and implement robust ... Exposure to sentiment detection and emotion-aware dialogue systems. **Please note that the ...

Voice Bot Engineer

$120K - $140K/yr

This is a remote opportunity to work from home. What You'll Do: * Architect and implement robust ... Exposure to sentiment detection and emotion-aware dialogue systems. **Please note that the ...

Advanced Bot Detection & Observability capabilities Benefits: * Competitive compensation package ... The remote base pay range for this role is $187,000-$280,000. Actual salary will be based on job ...

Senior Security Engineer (Remote)

Atlanta, GA · Remote

$110K - $151K/yr

Experience working on anti-abuse mechanisms such as CAPTCHA and bot detection. About the Client: They are a charitable, not-for-profit organization. The anticipated annual pay range of this position ...

This role can be based out of any of our US or European office locations or remote. How You'll ... Detect and document potential abuse vectors, including artificial streaming activity, bot networks ...

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Remote Bot Detection information

See salary details

$55.5K

$104.1K

$151.5K

How much do remote bot detection jobs pay per year?

As of Jun 7, 2026, the average yearly pay for remote bot detection in the United States is $104,124.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,000.00 and $131,500.00 per year, depending on experience, location, and employer.
What cities are hiring for Remote Bot Detection jobs? Cities with the most Remote Bot Detection job openings:
What are the most commonly searched types of Bot Detection jobs? The most popular types of Bot Detection jobs are:
What states have the most Remote Bot Detection jobs? States with the most job openings for Remote Bot Detection jobs include:

Sr Technical Product Manager, Bot & AI Automation Intelligence

Jobgether

Remote

$97K - $128K/yr

Full-time

Posted 3 days ago


Job description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Sr Technical Product Manager, Bot & AI Automation Intelligence in Netherlands.

This is a high-impact senior product leadership role focused on shaping the future of bot detection and automation intelligence in an increasingly AI-driven digital ecosystem. You will define the strategy and roadmap for next-generation fraud and automation detection systems, expanding beyond traditional bot management into AI agents, automated traffic, and adversarial behavior detection. Working in a globally distributed, remote-first environment, you will collaborate closely with engineering, data science, and go-to-market teams to build scalable, developer-centric products. The role combines deep technical understanding with strong product vision, requiring you to translate evolving threat landscapes into actionable detection capabilities. You will also own customer-facing experiences, including APIs and dashboards, ensuring usability and adoption across diverse clients. This position plays a critical role in strengthening trust, security, and intelligence across digital interactions worldwide.

Accountabilities:

In this role, you will take ownership of the end-to-end product strategy and execution for bot detection and automation intelligence, ensuring strong alignment across technical, product, and commercial functions. Your responsibilities will include:

  • Defining the vision, strategy, and roadmap for bot detection as a core product line, including its evolution into broader automation and intent intelligence.
  • Driving development of advanced detection capabilities, including AI assistants, bot patterns, spoofing techniques, and adversarial automation behaviors.
  • Partnering with engineering and data science teams to design evaluation frameworks, improve detection accuracy, and continuously optimize precision and recall.
  • Leading the design of taxonomy and classification models that define automation types, identity patterns, and trust signals.
  • Owning the strategy for non-JavaScript and server-side detection via APIs and edge-based intelligence systems.
  • Shaping customer-facing experiences, including dashboards, APIs, schemas, and developer workflows for fraud and automation decisioning.
  • Supporting commercialization efforts by collaborating with GTM teams on positioning, packaging, customer feedback loops, and product adoption strategies.
  • Driving cross-functional execution as the single-threaded owner, ensuring alignment across engineering, design, analytics, and GTM stakeholders.
Requirements:

We are looking for an experienced technical product leader with strong expertise in fraud detection, bot management, or security-focused platforms. Ideal candidates will bring a mix of product thinking, technical depth, and cross-functional leadership experience:

  • 3+ years of experience in bot management, fraud prevention, abuse detection, or related security/data platforms.
  • Proven ability to define product strategy, manage roadmaps, and deliver complex technical products in fast-paced environments.
  • Strong understanding of web technologies, automation techniques, APIs, and adversarial detection systems.
  • Experience working with data science and engineering teams on ML/heuristic-based detection systems, including measurement frameworks and performance optimization.
  • Deep familiarity with detection metrics such as false positives, false negatives, precision/recall tradeoffs, and system evaluation methods.
  • Strong analytical mindset with ability to define success metrics and interpret data-driven insights.
  • Knowledge of privacy regulations such as GDPR and CCPA as they apply to data signals and detection systems.
  • Excellent communication skills, with the ability to translate technical complexity into clear product direction and customer value.
  • Bonus: experience with network/IP intelligence, proxy detection, client-server signal pipelines, and build-vs-buy decisions in security domains.
Benefits:
  • Competitive compensation aligned with experience, location, and market benchmarks.
  • Remote-friendly work environment with global collaboration across time zones.
  • Opportunity to work on cutting-edge AI-driven fraud and automation intelligence systems.
  • High ownership role with significant strategic and technical impact.
  • Collaboration with top-tier engineering, data science, and product teams.
  • Inclusive and diverse workplace culture focused on innovation and continuous learning.
  • Exposure to large-scale, real-world security and fraud challenges across global platforms.
  • Flexible working model supporting autonomy and distributed team productivity.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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