Manager, Trust & Safety

About Bolster

Bolster turns the security paradigm upside down and removes threats and digital risks before an attack occurs. Our protection extends beyond the enterprise to customers and partners. Our approach is the antithesis of today’s cyber defense strategy, which is to wait for an attack than try and prevent it. Or worse, assume you have been breached and hope you can detect it. We leverage the power of AI to apply deep learning, computer vision, and natural language processing to identify criminal intent on millions of web pages daily. We tirelessly monitor the Internet to find malicious web pages that could cause harm and remove them. We empower companies to take back control of the Internet by continuously eliminating the threats that threaten their business, customers, and brand.

We are just getting started, and the future could not be more exciting. We’re growing the team in all functions as we transition from a small start-up into the next phase of our journey. We are looking for A-list talent who will have a meaningful impact, solve new challenges, and take ownership of the future of Bolster. If this is you, apply and join our team!

About the Role:
We are seeking an experienced and hands-on Trust & Safety Manager to lead our India-based Security Operations team, focused on Digital Risk Protection (DRP) and brand abuse detection. This role goes beyond traditional SOC operations and requires expertise in identifying, analyzing, and mitigating external threats such as phishing, impersonation, and online brand abuse.

You will play a critical role in scaling operations, improving detection quality, and ensuring high-impact outcomes for our customers

Responsibilities:
• Lead and manage the India DRP/SOC team, ensuring 24x7 operational excellence in monitoring and response.

• Oversee detection and response activities across:

• Phishing campaigns

• Brand impersonation (domains, mobile apps, social media)

• Scam infrastructure and abuse patterns.

• Drive continuous improvement in detection logic, workflows, and automation to enhance operational efficiency.

• Build and maintain a metrics-driven SOC, tracking KPIs such as:

• Detection accuracy

• Time to detection (TTD)

• Time to takedown (TTT)

• False positive rates

• Collaborate with Product, Engineering, and Research teams to:

• Improve detection pipelines

• Enhance enrichment capabilities

• Support feature development

• Own customer-facing incident handling, ensuring timely communication, reporting, and resolution.

• Participate in client discussions, POCs, and demos, showcasing platform capabilities and threat insights.

• Develop and implement strategies for hiring, training, and retaining top cybersecurity talent.

• Collaborate with cross-functional teams (Product, Engineering, Customer Support) to improve threat detection and response capabilities.

• Establish and continuously improve SOC playbooks, workflows, and escalation processes with a strong focus on minimizing user impact.

• Act as a hands-on leader, capable of diving deep into investigations, debugging detection gaps, and solving complex problems.

• Ensure smooth coordination with global teams and stakeholders

Required Skills / Qualifications:
• Minimum of 7 years of experience managing 24x7 support teams (Mandatory).

• Strong leadership skills with a proven track record of building and managing high-performing teams.

• Excellent communication and interpersonal skills, with the ability to effectively engage with technical and non-technical stakeholders.

• Ability to think strategically and analytically, with a proactive approach to problem-solving.

• Build and foster an inclusive, collaborative, integrated team by soliciting feedback and encouraging open communication.

• Experienced with case management ticketing systems and workforce management programs

Good to Have:
• Experience in phishing takedowns, domain analysis, or abuse handling workflows

• Familiarity with automation/scripting (Python, APIs, etc.)

• Exposure to AI/ML-based detection systems

• Experience working in product-based cybersecurity companies

Why Bolster

Bolster builds a next-generation AI-powered fraud prevention and brand protection platform designed to detect and eliminate phishing, impersonation, and online scams at internet scale. Our platform protects enterprises from external digital threats across websites, social media, mobile apps, messaging platforms, and the dark web—helping organizations safeguard their brands and customers from rapidly evolving cyberattacks.

Bolster is trusted by leading global enterprises and Fortune 500 companies that rely on our technology to detect and automatically take down phishing and impersonation attacks in real time.

Our team brings deep cybersecurity expertise with decades of combined experience across leading technology and security organizations. Bolster is backed by leading investors including M12 (Microsoft’s venture fund), Thomvest Ventures, and Crosslink Capital, helping accelerate innovation in AI-driven threat protection.

Our AI and machine learning technology uses deep learning, computer vision, natural language processing, and large-scale threat intelligence to detect malicious infrastructure and automate takedowns with high accuracy and speed.

We also extend our technology to the broader community through CheckPhish (https://checkphish.ai) — a free phishing and scam detection tool used by millions of security researchers, organizations, and consumers worldwide. The platform helps identify fraudulent websites and contributes valuable threat intelligence to strengthen Bolster’s detection models.

Learn more about our culture and values: https://bolster.ai/

**PLEASE NOTE THAT THIS ROLE REQUIRES IN OFFICE COLLABORATION/ATTENDANCE 3X A WEEK ****