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VP of Engineering

Vectra AI

VP of Engineering

Vectra AI

San Jose, CA, United States

·

On-site

·

Full-time

·

1w ago

Compensation

$291,615 - $341,090

Benefits & Perks

Healthcare

401(k)

Equity

Mental Health

Unlimited PTO

Healthcare

401k

Equity

Mental Health

Unlimited Pto

Required Skills

Technical Leadership

Software Development

Team Management

Architecture Design

LLMs

Real-time Processing

Vectra® is the leader in AI-driven threat detection and response for hybrid and multi-cloud enterprises.

The Vectra AI Platform delivers integrated signal across public cloud, SaaS, identity, and data center networks in a single platform. Powered by patented Attack Signal Intelligence, it empowers security teams to rapidly prioritize, investigate and respond to the most advanced cyber-attacks. With 35 patents in AI-driven threat detection and the most vendor references in MITRE D3FEND, organizations worldwide rely on the Vectra AI to move at the speed and scale of hybrid attackers. For more information, visit www.vectra.ai.

About the Role

We are seeking a VP of Engineering to lead the team tasked with building Vectra’s groundbreaking initiative to transform the Security Operations Center (SOC). This solution harnesses classicalAI/ML and Agentic AI approaches to radically transform the entire SOC operational model, enabling enterprises to more intelligently process alerts, to identify and resolve real threats faster, and to identify changes to the environment that will lead to better future outcomes.
This is a hands-on leadership role dealing with all the classic challenges of early-stage product development and particularly with SaaS-delivered products or services applying data analytics, ML or AI. The ideal candidate is a leader of high-performance teams who is excited to work on cutting-edge technology and who delights in exceeding customer expectations.
The role reports directly to the CTO.

Key Responsibilities

Hire a top-class engineering team

Build team culture which values very rapid iteration with customer feedback over stable roadmaps and lower cadence release delivery

Partner with CTO and PM leader to choose tactics in support of overall strategy

Identify potential technical risks and quickly determine whether they are real risks

Grow the team by attracting, vetting and hiring talent

Mentor and grow team members both technically and in their soft skills

Participate in architecture discussions and guide the technical direction of the team

Interface with the core Vectra product organization to keep stakeholders abreast of progress and discuss what maturing features should also be implemented in the Vectra platform

Qualifications

5+ years of technical management experience

5+ years professional software development experience

Knowledge of software design principles and leading software development practices

Strong communication & collaboration skills

Track record of getting things done, taking initiative and challenging assumptions

Experience with real-time processing pipelines (Kafka, Flink, etc.) and surrounding technologies

Experience with LLMs (e.g., OpenAI, Claude, Mistral, Llama), embeddings, and vector databases

Experience delivering products via public cloud knowledge, preferably AWS

(desirable) Experience with delivering solutions involving ML, expert systems, or traditional AI

(desirable) Experience working in the Cybersecurity industry

Education

BS or MS or PhD in Computer Science or similar technical degree

Why Join Vectra?

At Vectra, you’ll be part of a mission-driven company defining the future of cybersecurity with AI innovation. In this role, you’ll have the opportunity to make a profound impact on how SOCs operate—simplifying investigations, empowering analysts, and enabling organizations worldwide to defend against the most advanced threats. Our competitive total rewards package includes cash compensation within the range provided below. Actual pay for this position may vary based on the hired candidate’s location, experience and relevant incumbent pay position.  Vectra Total Rewards**$291,615—$341,090 USD**
Vectra provides a comprehensive total rewards package that supports the financial, physical, mental and overall health of our employees and their families. Compensation includes competitive base pay, incentive plan eligibility, and participation in the employee equity plan (stock options). Specific benefits offered varies by location, but commonly include health care insurance, income protection / life insurance, access to retirement savings plans, behavioral & emotional wellness services, generous time away from work, and a comprehensive employee recognition program.

Vectra is committed to creating a diverse environment and is proud to be an equal opportunity employer.

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

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About Vectra AI

Vectra AI

Vectra AI

Series C

Vectra AI, Inc. is a cybersecurity company that uses AI for hybrid attack detection, investigation, and response (NDR) solutions. The company was established in 2011 and operates in 113 countries from its San Jose, California headquarters, with further locations in Singapore, Australia, and Japan.

201-500

Employees

San Jose

Headquarters

Reviews

3.9

42 reviews

Work Life Balance

3.9

Compensation

4.2

Culture

3.9

Career

3.8

Management

3.6

78%

Recommend to a Friend

Pros

Good work-life balance and flexible environment

Competitive compensation and benefits

Interesting projects and challenges

Cons

Room for improvement in processes

Some organizational bureaucracy

Work-life balance varies by team

Salary Ranges

50 data points

Junior/L3

Mid/L4

Senior/L5

Junior/L3 · Data Engineer

3 reports

$182,000

total / year

Base

$140,000

Stock

-

Bonus

-

$166,400

$195,000

Interview Experience

3 interviews

Difficulty

2.7

/ 5

Duration

14-28 weeks

Experience

Positive 33%

Neutral 67%

Negative 0%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Assessment/CodeSignal

4

Technical Phone Screen

5

Onsite/Virtual Interviews

6

Offer

Common Questions

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

Past Experience