Manager, Engineering - AI and Data Team Manager at Bugcrowd
$172,000–$236,500from the description
Jul 26, 2026
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Jul 27, 2026
What this job asks for AI summary
A player-coach management role leading a small team of data scientists and ML engineers building AI and data systems for a crowdsourced security platform. The bulk of the work (70%) is hands-on: designing data pipelines, training and deploying predictive and generative AI models, and establishing MLOps practices — all applied to offensive security use cases such as vulnerability research and bug bounty workflows. The remainder involves mentoring the team and coordinating with product, security research, and infrastructure groups.
Senior level · 5+ years · Remote · Full-time
Posted 2 times — it's one opening, so apply once.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 1,150 people nationally plausibly meet what this posting asks for (computer and information systems managers). range 340–1,700
Applicant volume Light — Few people clear these requirements, so an application that does clear them gets looked at. Worth applying to even if you miss a nice-to-have.
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $178,991 (middle half $141,096–$225,584). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (6)
This role is explicitly a people-management position (managing a team of data scientists and ML engineers, with mentoring and team growth responsibilities), making 11-3021 the primary SOC. However, the posting emphasizes that 70% of the role is hands-on technical work (building pipelines, training/deploying models), so 15-2051 Data Scientists is a genuine runner-up.
The title 'Manager' carries no seniority level modifier; the title states no level. The 5+ years of experience requirement with 2+ years in a leadership role, combined with team management scope, supports a Senior band.
A Master's degree or higher is listed under 'Preferred Experience,' not under the required qualifications block, so it is not treated as a hard gate.
The specific AWS services (S3, Lambda, Batch, Glue, Bedrock, Step Functions, Redshift) are all listed together in the required qualifications block under 'Deep expertise with Python, AWS services (…), and ML frameworks' — each is captured as a required skill. 'ML frameworks' is retained as a named category since no specific framework (e.g., PyTorch, TensorFlow) is called out by name.
OpenAI and Anthropic appear in the requirements block as examples of generative AI platforms ('via platforms like AWS Bedrock, OpenAI, Anthropic'). AWS Bedrock is already captured separately; OpenAI and Anthropic are captured as a single interchangeable skill pair since they serve the same function in context.
FedRAMP and SOC2 appear under 'Preferred Experience' and are marked accordingly.
Read the full posting
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