refresh

Trending companies

Trending companies

MongoDB
MongoDB

Build faster. Build smarter.

Senior Product Manager, Account Protection

RoleProduct
LevelSenior
LocationAlberta; British Columbia; Ontario; Quebec; Toronto, Canada
WorkOn-site
TypeFull-time
Posted1 month ago
Apply now

Required skills

AWS

MongoDB

GCP

Azure

The Security Product Management team is vital in safeguarding customer trust and making data security a market differentiator that enables MongoDB to succeed in enterprise and regulated industries. Our team's scope is broad and critical, covering a range of features, including Networking, IAM, Data Governance, Encryption, Compliance, and Auditing.

This role can be based out of our Toronto office, or remotely in Canada.

Responsibilities

  • In this role, you will be a key member of security product management responsible for Account Protection and safeguarding customer trust at MongoDB

  • Develop a robust vision for best-in-class security and identity threat management, from identification to remediation

  • Build a vision for best-in class security features that identify, mitigate, and proactively prevent unauthorized attempts to access data

  • Partner with engineering to develop a prioritized product roadmap and backlog to execute against that vision

  • Deeply understand all aspects of the business - to ensure a business outcome aligned with our broader product, customer, and company goals

  • Deepen our understanding of evolving threats and corresponding technologies in data security. Use customer inputs to serve as an expert and propose new innovations or best practices from the industry

  • ​​Partner with engineering, legal, research, product marketing, support, sales, and security teams to deepen customer trust as they use MongoDB for their most critical data workloads

  • Define and implement key performance indicators (KPIs) and success metrics for security initiatives, ensuring alignment with business objectives and product goals

Requirements

  • 5+ years of product management or equivalent experience in enterprise security or platforms

  • Experience working with security focused engineers in a diverse team

  • Domain expertise in threat detection, data security, or a related field

  • Experience driving business results through influential leadership across multiple partner teams including engineering, sales, marketing, solution architects and customer success.

  • Excellent written and verbal communication skills, including experience presenting to executive leadership

  • Proven ability to define and deliver successful product strategies and roadmaps

  • Demonstrated experience in defining technical product requirements into an actionable product roadmap

  • Understanding of various public cloud providers such as AWS, Azure, and GCP

  • Comfortable with stage presence and public speaking

  • B.Sc. in Computer Science, or equivalent experience

Nice to have

  • Certifications or similar evidence of professional milestone completion and continuous training (such as: CISSP, Comp Tia Security+, SANS, etc.)

  • Community support and participation to advance data and cloud security such as conference or meetup panels and blog or paper authorship

  • MBA, M.Sc.+ or equivalent in relevant domain

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Req ID: 4263333204

MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, Registered Retirement Savings Plan (RRSP) with employer match, mental health counseling, backup child and elder care, and health, dental, and vision benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to candidates based in Canada.

MongoDB’s base salary range for this role in Canada is:$112,000—$155,000 CAD
AI is used to review applications based on job-related criteria and does not replace human decision-making. The hiring team decide who moves forward.

MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, Registered Retirement Savings Plan (RRSP) with employer match, mental health counseling, backup child and elder care, and health, dental, and vision benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to candidates based in Canada.

MongoDB’s base salary range for this role in Canada is:$112,000—$155,000 CAD

Total Views

0

Total Apply Clicks

0

Total Mock Apply

0

Total Bookmarks

0

About MongoDB

MongoDB

MongoDB

Public

MongoDB, Inc. is an American software company that develops and provides commercial support for the source-available database engine MongoDB, a database for unstructured data.

5,000+

Employees

New York

Headquarters

$24.0B

Valuation

Reviews

10 reviews

3.8

10 reviews

Work-life balance

3.5

Compensation

3.2

Culture

4.1

Career

3.4

Management

3.0

72%

Recommend to a friend

Pros

Great team culture and collaborative environment

Good work-life balance and flexible hours

Excellent health benefits

Cons

High workload and long hours

Management issues and lack of direction

High pressure and stress during peak times

Salary Ranges

37 data points

Junior/L3

L6

Mid/L4

Senior/L5

Staff/L6

Director

L3

L4

L5

Junior/L3 · Associate Product Manager

0 reports

$137,500

total per year

Base

-

Stock

-

Bonus

-

$116,875

$158,125

Interview experience

5 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Interview process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

Common questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge