Manager, Engineering - AI and Data Team Manager

BugcrowdRemote · Posted 1 month ago

Full-timeRemoteEst. 204,250 USD

Description

We are Bugcrowd. Since 2012, we’ve been empowering organizations to take back control and stay ahead of threat actors by uniting the collective ingenuity and expertise of our customers and trusted alliance of elite hackers, with our patented data and AI-powered Security Knowledge Platform™. Our network of hackers brings diverse expertise to uncover hidden weaknesses, adapting swiftly to evolving threats, even against zero-day exploits. With unmatched scalability and adaptability, our data and AI-driven CrowdMatch™ technology in our platform finds the perfect talent for your unique fight. We aim to create a new era of modern crowdsourced security that outpaces threat actors. Unleash the ingenuity of the hacker community with Bugcrowd, visit www.bugcrowd.com. Based in San Francisco and New Hampshire, Bugcrowd is supported by General Catalyst, Rally Ventures, Costanoa Ventures, and others.

We’re seeking a hands-on Manager for the AI and Data Science team. This role will manage a high-performing team dedicated to developing data-driven and AI-powered systems that significantly enhance our offensive security capabilities. Your primary focus (70%) will be on setting the technical direction, working with the team in building scalable data pipelines, and training and deploying predictive models to solve complex cybersecurity challenges. This leadership role also includes mentoring and managing the team. This position is ideal for someone who excels in the technical execution of AI and Data engineering and is ready to lead the development of our next-generation, AI-driven preemptive cybersecurity product alongside a group of exceptional engineers.

Essential Duties and Responsibilities

Lead Technical Strategy & Execution: Define and drive the technical roadmap for AI, ML, and data systems, overseeing development, deployment, and operationalization to ensure robust performance, scalability, and direct alignment with key business strategy and requirements.
Team Leadership & Mentorship: Lead, mentor, and grow a small high-performing team of data scientists and ML engineers, cultivating a culture of technical excellence, accountability, and continuous learning.
AI/ML/Generative Systems Development: Direct the entire lifecycle—from design to deployment—of robust data pipelines, scalable model training, and innovative AI/ML applications. Focus on leveraging these systems to significantly boost analyst and hacker productivity across critical offensive security use cases.
Model Development and Platform Integration: Guide the development, tuning, deployment, and MLOps of Machine Learning models for cybersecurity. Ensure secure and compliant integration of cutting-edge generative AI models (via platforms like AWS Bedrock, OpenAI, Anthropic) with internal APIs and sensitive security datasets.
Data and Software Architecture: Architect, govern, and optimize large-scale, high-performance data pipelines and overall software architecture essential for securely and efficiently processing massive vulnerability, asset, and activity datasets sourced from various environments.
Security & Scalability Partnership: Collaborate closely with infrastructure teams to architect AI workloads and data pipelines that meet stringent requirements for security, efficiency, and scalability, particularly within multi-tenant and regulated environments (e.g., FedRAMP, SOC2).
Cross-Functional Collaboration: Serve as the primary technical subject matter expert and liaison, partnering with security research, product, and platform teams to translate complex offensive security challenges into robust, data-driven automation and intelligence solutions.
Continuous MLOps Improvement: Establish and manage best-in-class MLOps practices, including CI/CD pipelines, comprehensive evaluation frameworks, and robust monitoring/observability tools to ensure the continuous improvement and reliability of all data and AI systems.
API Design & Integration: Oversee the design of robust, high-availability APIs and interfaces that facilitate seamless, scalable interaction between LLM agents and internal systems (such as the MCP server) for crucial tasks like search, data enrichment, and automated decision support.

Education, Experience, Knowledge, Skills, and Abilities

5+ years of experience in Data Science, ML Engineering, or Data Engineering, with 2+ years in a technical leadership or team lead role.
Strong architectural understanding of LLM technologies, RAG architectures, prompt engineering, ML Ops, and secure API integration with AI systems.
Deep expertise with Python, AWS services (S3, Lambda, Batch, Glue, Bedrock, Step Functions, Redshift), and ML frameworks.
Proven experience successfully leading a team to build and deploy end-to-end ML pipelines—from data ingestion to model deployment, monitoring, and MLOps.
Ability to design, manage, and govern secure data-driven software architectures for large-scale, multi-tenant, and high-security environments.
Excellent communication skills with a demonstrated ability to mentor engineers, influence technical direction, and present complex concepts to both technical and non-technical audiences.

Preferred Experience

Deep knowledge of offensive security workflows (bug bounty, vulnerability research, red teaming) and the associated datasets.
Experience successfully deploying and operating AI solutions within regulated environments (FedRAMP, SOC2).
Experience and knowledge of software security
Master’s degree or higher in Computer Science, Information Systems, or a related quantitative field.

Working Conditions and Physical Requirements

The ideal candidate must be able to complete all physical requirements of the job with or without reasonable accommodation.

Sitting and / or standing - Must be able to remain in a stationary position 50% of the time

Carrying and / or lifting - Must be able to carry / move laptop as needed throughout the work day.

Environment - remote, work-from-home 100% of the time.

Pay Range Disclosure

At Bugcrowd, we strive for fairness, equality and to create an environment that allows our people to perform at their very best. Our compensation philosophy is to foster a collaborative community that rewards, attracts and retains the best possible talent. The provided salary details are based on US national averages and we retain the flexibility to tailor to the needs of the business.

The national estimate for the current base range for the position is: $172,000 - $236,500.

This position may also be eligible to participate in a discretionary bonus program or commission plan, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Culture

At Bugcrowd, we understand that diversity in the workplace is vital to a company’s success and growth. We strive to make sure that people are included and have a sense of being part of making Bugcrowd not only a great product but a great place to work.
We regularly hear from both customers and researchers that Bugcrowd feels like a family, and we strive to maintain that internally as well.
Our team consists of a broad range of people: musicians, adventure sports junkies, nature lovers, parents, cereal enthusiasts, night owls, cyclists, artists—you get the point.

At Bugcrowd, we are solving security threats and vulnerabilities that are relevant to everyone, therefore we believe solving these problems takes all kinds of backgrounds. We value the perspectives and experiences people from underrepresented backgrounds bring.

Disclaimer

This position has access to highly confidential, sensitive information relating to the technologies of Bugcrowd. It is essential that the applicant possess the requisite integrity to maintain the information in the strictest confidence.

The company is authorized to obtain background checks for employment purposes under state and federal law. Background checks will be conducted for positions that involve access to confidential or proprietary information (including trade secrets).

Background checks may include Social Security verification, prior employment verification, personal and professional references, educational verification, and criminal history. Applicants with conviction histories will not be excluded from consideration to the extent required by law.

Any personal data you submit in connection with your application will be processed in compliance with Bugcrowd's Privacy Policy, which you may review here: https://www.bugcrowd.com/privacy.

Equal Employment Opportunity:

Bugcrowd is EOE, Disability/Age Employer.

Individuals seeking employment at Bugcrowd are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation.

Bugcrowd is committed to the full inclusion of all qualified individuals. In keeping with our commitment, Bugcrowd will take the steps to assure that people with disabilities are provided reasonable accommodations. Accordingly, if reasonable accommodation is required to fully participate in the job application or interview process, to perform the essential functions of the position, and/or to receive all other benefits and privileges of employment, please contact HR at ADA at bugcrowd.com.

Manager, Engineering - AI and Data Team Manager

Description

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