Cobalt
Principal Product Manager
Job Summary
This role involves leading the AI/ML and data science strategy for a SaaS-based offensive security platform. The Product Manager will collaborate with cross-functional teams to develop data-driven insights, predictive analytics, and innovative features that enhance security testing and risk reduction. Candidates should have extensive experience in product management within SaaS, with a proven track record of deploying AI/ML solutions in cybersecurity contexts. The position requires strong communication skills and a technical understanding of data science principles, aiming to improve customer outcomes through actionable insights.
Required Skills
Benefits
Job Description
Principal Product Manager
Who We Are
Cobalt was founded on the belief of a fundamental human aspiration: the desire to live better and safer. It all started in 2013, when our founders realized that pentesting can be better. Today our diverse, fully remote team is committed to helping organizations of all sizes with seamless, effective and collaborative Offensive Security Testing that empower organizations to OPERATE FEARLESSLY and INNOVATE SECURELY.
Our customers can start a pentest in as little as 24 hours and integrate with advanced development cycles thanks to the powerful combination of our SaaS platform coupled with an exclusive community of testers known as the Cobalt Core. Accepting just 5% of applicants, the Cobalt Core boasts over 400 closely vetted and highly skilled testers who jointly conduct thousands of tests each year and are at the forefront of identifying and helping remediate risk across a dynamically changing attack surface.
Cobalt is an Equal Opportunity Employer and we strive to build a diverse and inclusive workforce at our company. At Cobalt we aspire to engage with diverse individuals, communities, and organizations in order to continue to nurture our unique rich diverse culture. Join our team, and be your true self to do your best work.
Description
We are seeking a highly motivated and experienced Product Manager to lead our AI/ML/data science and analytics strategy for our market-leading Pentesting and Red Teaming as a Service platform. This is a unique opportunity to shape the future of offensive security by empowering our customers with actionable, data-driven insights into their security posture, programs, and progress. This role will define and deliver innovative solutions that directly address the evolving needs of security teams, leveraging the power of cloud services and artificial intelligence to provide unparalleled visibility into their offensive security effectiveness.
What You'll Do
- Collaborate with the Data / AI team to define and deliver the product roadmap for data sciences, AI-driven insights, and AI experiences to maximize network effects for our offensive security services platform.
- Collaborate closely with data scientists, security experts (pentester/red teamers), and software engineers to design innovative data products and features.
- Lead the development of benchmark reports and other comparative analytics to help customers understand their security performance relative to industry standards and peers.
- Drive the creation of AI-driven insights and predictive analytics to proactively identify potential security weaknesses and recommend root-cause improvement strategies based on pentesting and red teaming data.
- Conduct market research and customer interviews to deeply understand their needs for data-driven insights and proactive, actionable steps to improve their offensive security testing programs and risk reduction activities.
- Work closely with product marketing and sales teams to effectively communicate the value proposition of the data and analytics features to customers and drive adoption.
- Define and track key metrics and KPIs (Key Performance Indicators) to measure the success and impact of data and analytics features on customer outcomes and business goals.
You Have
- 5+ years of proven experience as a Product Manager in a SaaS development environment.
- 3 to 5 years of hands-on experience in the use of AI/ML/data sciences in producing cyber security recommendations, suggested actions, and action-driving insights.
- Verifiable, launched and customer adopted AI/ML/data sciences experiences with notable real-world customer outcomes to show for the investment.
- Deep understanding of data science principles, analytics methodologies, and data visualization techniques
- Hands-on experience with Google Cloud Platform (GCP) data science and analytics services preferred.
- A systems thinker with an outstanding grasp of the technical and business detail in the pentesting and Offensive Security domain.
- Confident presence when presenting and engaging with customers, prospects, and industry stakeholders. You must be an exceptional written and verbal communicator able to support and defend strategy and prioritization decisions.
- Resilience with a self starter mentality. Motivated and disciplined to do great work without the need for heavy supervision.
Why You Should Join Us
- Grow in a passionate, rapidly expanding industry operating at the forefront of the Pentesting industry
- Work directly with experienced senior leaders with ongoing mentorship opportunities
- Earn competitive compensation and an attractive equity plan
- Save for the future with a 401(k) program (US)
- Benefit from medical, dental, vision and life insurance (US)
- Leverage stipends for:
- Wellness
- Work-from-home equipment & wifi
- Learning & development
- Make the most of our flexible, generous paid time off and paid parental leave
Pay Range Disclosure
Cobalt is committed to fair and equitable compensation practices. The salary range for this role is ($180,000 - $230,000) per year + equity + benefits. A candidate’s salary is determined by various factors including, but not limited to, relevant work experience, skills, and certifications. The salary range may differ in other states and may be impacted by proximity to major metropolitan cities.
Cobalt (the "Company") is an equal opportunity employer, and we want the best available persons for every job. The Company makes employment decisions only based on merit. It is the Company's policy to prohibit discrimination in any employment opportunity (including but not limited to recruitment, employment, promotion, salary increases, benefits, termination and all other terms and conditions of employment) based on race, color, sex, sexual orientation, gender, gender identity, gender expression, genetic information, pregnancy, religious creed, national origin, ancestry, age, physical/mental disability, medical condition, marital/domestic partner status, military and veteran status, height, weight or any other such characteristic protected by federal, state or local law. The Company is committed to complying with all applicable laws and providing equal employment opportunities. This commitment applies to all persons involved in the operations of the Company regardless of where the employee is located and prohibits unlawful discrimination by any employee of the Company.
Cobalt is an E-Verify employer. E-Verify is an Internet-based system operated by the Department of Homeland Security (DHS) in partnership with the Social Security Administration (SSA). It allows participating employers to electronically verify the employment eligibility of their newly hired employees in the United States.
Cobalt
Modernize traditional offensive security with global talent and a SaaS platform to deliver better security - from the team that innovated pentest via Pentest as a Service (PtaaS).
See more jobsSafe Remote Job Search Tips
Verify Employer Thoroughly
Research the company's identity thoroughly before applying. Check for a professional website with contacts, active social media, and LinkedIn profiles. Verify details across platforms and look for reviews on Glassdoor or Trustpilot to confirm legitimacy.
Never Pay to Get a Job
Legitimate employers never require payment for applications, training, background checks, or equipment. Always reject upfront payment requests or demands for bank details, even if they claim it's for purchasing necessary work gear on your behalf.
Safeguard Your Personal Information
Protect sensitive data like SSN, bank details, or ID copies. Share this only after accepting a formal, written job offer. Ensure it's submitted via a secure company system or portal, never through insecure channels like standard email attachments.
Scrutinize Communication & Interviews
Watch for communication red flags: poor grammar, generic emails (@gmail), vague details, or undue pressure. Be highly suspicious of interviews held only via text or chat apps; legitimate companies typically use video or phone calls.
Beware of Unrealistic Offers
If an offer's salary or benefits seem unrealistically high for the work involved, be cautious. Research standard pay for similar roles. Offers that appear 'too good to be true' are often scams designed to lure you into providing information or payment.
Insist on a Formal Contract
Always secure and review a formal, written job offer or employment contract before starting work or sharing final personal details. Ensure it clearly defines your role, compensation, key terms, and conditions to avoid misunderstandings or scams.