Software Engineer, Abnormal AI
Abnormal Data Platform
$149.2-214.5k
Cloud email security platform
Open for applications
Cloud email security platform
1001+ employees
Open for applications
$149.2-214.5k
1001+ employees
Company mission
To make the cloud a safer place for businesses.
Role
Who you are
- We are seeking a highly skilled Software Engineer II to help shape the future of AI-powered application development. If you’re passionate about cutting-edge technology, scalable systems, and solving real-world challenges, this is your opportunity
- You are someone who wants to make an impact. You are passionate about solving customer problems and have built up a base of skills in backend and distributed systems development to do so. You want to apply those skills on a problem that leaves the world in a better place
- We are also not only a remote team, but a very distributed team, as such you will need to have excellent communication skills across both verbal and written mediums. You will need to be just as comfortable on a zoom call as writing a 1 pager project proposal to be shared across the team for technical feedback
- Experience with building and operating distributed systems and services at a high scale (~billions of transactions each day)
- Streaming data systems - using Kafka, Spark, Map/Reduce or similar to process large data sets
- Working on large scale data storage systems, such as DynamoDB, Aerospike, Redis and Databricks
- 3-5 years of overall software engineering experience
- Strong sense of best practices in developing software
What the job involves
- We are a scrappy team: we are building a new product from scratch – this means you should be comfortable with a level of uncertainty beyond what you’d find at a more mature company or even a more mature team at Abnormal. Not every project will come with a well defined PRD - that’s expected and we expect this engineer to go dig in and figure out what to do
- This also means occasionally we’ll ask you to do things that may not strictly fit the role of a “backend engineer” - it might mean jumping on a customer call, or digging in to help fix a frontend bug
- Build out storage and retrieval infrastructure for our Aggregates Platform
- Allows our various ingestion pipelines and detection algorithms to send us billions of data points per day to be stored and processed
- Making sure that such a large scale data architecture works at our scale, low latency requirements and scales with our cellular architecture
- Work on a series of projects towards scalability, reliability and cost optimisations
- Partner with our various customer teams
- Understand the use cases and scale requirements of our customers and work to implement them
- Help build our group through excellent interview practices
- This engineer must be able to accurately assess candidates technical skills, cultural fit and likelihood of success at Abnormal to ensure we hire the right team
- Be a talent magnet - someone who through the interview process demonstrates their own strengths in a way that attracts candidates to Abnormal and to the Aggregates team and ensures that we close the candidates we want to close
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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