Senior Technical Account Manager, Abnormal AI
+ Equity
More information about location
Cloud email security platform
Job no longer available
Cloud email security platform
1001+ employees
Job no longer available
+ Equity
More information about location
1001+ employees
Company mission
To make the cloud a safer place for businesses.
Role
Who you are
- This role is ideal for someone who thrives in fast-paced, dynamic environments and brings a proven track record of using strong technical expertise and exceptional communication skills to quickly assess customer environments, provide clear, actionable guidance, and collaborate effectively with cross-functional teams
- 5–7+ years of experience in a Technical Account Manager (TAM) role within an enterprise environment
- 5–7+ years of experience providing support for enterprise SaaS products in a technical or customer-facing capacity
- Exceptional technical troubleshooting skills, with hands-on experience in previous Support or SE roles, and a demonstrated ability to collaborate, coordinate, and escalate issues effectively within a team of product support professionals
- Action-oriented problem solver, skilled at assessing inputs across multiple functions (Support, Product, Engineering) and translating them into scalable solutions with a clear, customer-focused narrative
- Proven experience engaging with executive-level stakeholders, including CISOs, CIOs, and other senior leaders, with the ability to quickly build credibility
- Skilled at presenting new product capabilities, sharing best practices, and translating technical concepts into business value for diverse audiences
- Comprehensive understanding of industry trends and the cybersecurity landscape, with a focus on emerging challenges and solutions
- Hands-on experience with internet and networking technologies, including familiarity with email security products and protocols
- Exceptional written, verbal, and presentation skills, capable of effectively communicating with stakeholders at all levels, both internally and externally
- Bachelor’s degree in a relevant field or equivalent professional experience
What the job involves
- We are seeking an experienced Technical Account Manager (TAM) to join a team dedicated to high-impact customer engagements
- Drawing on your deep industry knowledge, you’ll build trust and form strong relationships with stakeholders, serving as a technical advisor to our customers
- In this role, you act as a vital bridge between customers and internal teams, ensuring seamless communication and collaboration. You proactively address technical needs, effectively manage escalations and drive resolution to achieve impactful outcomes. Your ability to quickly build trust and navigate complex technical scenarios will be key in reinforcing value, strengthening relationships, and ultimately contributing to customer retention
- Serve as a technical resource (non-billable) for high-value or escalated accounts
- Act as a trusted technical advisor, guiding clients to optimize their use of Abnormal products while aligning with industry best practices
- Lead and support technical discussions, including tactical calls, product troubleshooting sessions, and roadmap alignment meetings
- Conduct proactive health checks and technical assessments, delivering clear, actionable recommendations and identifying risks
- Function as a liaison between internal teams (Support, Engineering, and Product Management), proactively managing escalations, collaborating on feature requests, and driving resolution to customer issues
- Collaborate closely with the Customer Success team to align on customer goals and success criteria, driving long-term satisfaction and retention
- Participation in Quarterly Business Reviews (QBRs)
Application process
- As part of Abnormal AI's secure hiring practices, we conduct video interviews and validate applicant identity at various stages through our recruitment process. Further, if your application is successful and Abnormal AI makes a conditional offer of employment, we will carry out pre-employment checks which must be successfully completed to progress to a final offer
Our take
Fraud involving impersonation is one of the top causes of online financial crime. Criminal tactics like email account spoofing, where the criminal impersonates an official account to steal personal information or money, are rife. Abnormal AI is a startup aimed at handling these hyper-targeted and personalised email attacks by analysing communications and identifying potential fraud before it can take place.
The fraud detection space is extremely competitive, but Abnormal AI differentiates itself through its focus on the threat of impersonation rather than a spectrum of threats. This has allowed it to amass a wealth of data relating specifically to high-risk impersonation attacks, analyzing over 45,000 signals to detect any anomalies.
Its specialised approach has fuelled rapid growth, leading to a $5B valuation after a Series D Funding round in 2024. Now, Abnormal plans to double down on product development and expand internationally, prioritising markets where data security laws necessitate a local presence. By staying focused on impersonation, Abnormal AI positions itself as a formidable force in the fight against online financial crime.
Freddie
Company Specialist at Welcome to the Jungle
Insights
11% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Aug 2024
$250m
SERIES D
May 2022
$210m
SERIES C
Total funding: $534m
Company benefits
- Healthcare
- Flexible PTO
- 401k
- One Medical
- Flexible Spending Account
- Mental Health Resources
- Home Office Stipend
- Monthly Internet & Phone Stipend
- Health and Wellness Stipend
Company HQ
Spring Valley, NV
Leadership
Evan Reiser
(Co-Founder & CEO)Having started their career as a Software Engineer, co-founded GamerNook.com, Bloomspot, and Adstack before spending 3 years at Twitter. Co-founded Abnormal Security in April 2018, and has been CEO since.
Sanjay Jeyakumar
(Co-Founder & CTO)Previously Senior Software Engineer at Twitter and Google. Was also Software Architect at TellApart.
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