Senior Data Science Product Engineer, AppOmni
$180-220k
+ Equity
SaaS security management software
Open for applications
SaaS security management software
201-500 employees
Open for applications
$180-220k
+ Equity
201-500 employees
Company mission
To prevent SaaS data breaches by securing the applications that power the enterprise.
Role
Who you are
- At least 5 years (or 3 if holding advanced degree) of hands-on experience in product development as an engineer and individual contributor, of which at least 3 years in the area of software, data science or machine learning
- At least 5 years (or 3 if holding advanced degree) of experience managing, taking to production and giving production support on a combination of several global multi-million dollar products or projects with more than 20 engineers involved and more than 10 other employees in other cross functional teams, and projects or products involving a small team with less than 5 engineers
- At least 4 years of experience in cybersecurity, automotive, energy or health care industries
- Experience handling large volumes of unlabeled data with complex schemas and with application of statistics and unsupervised machine learning
- Have experience both as an individual contributor as well as project or product leader
- Handled with other subject matter experts, budgets, legal contracts and statements of work with engineering contracting houses, suppliers and customers
- Established and managed internal KPI (key performance indicators) for products and projects, including internal data analytics and dashboards involving financial metrics
- Nice to have: worked in both big enterprises (more than 100k employees) as well as small companies (less than 500 employes)
- Familiar with waterfall and agile processes and compliance or certification frameworks such as APQP, IATF 16949, ISO, NIST, EU AI Act or similar
- Experience with ML services in Cloud Platforms like GCP and infrastructure as codeStrong programming skills to be able to code and review code in Python, including a good understanding of libraries like Pandas, PySpark, TensorFlow, PyTorch, Keras, Langchain, Langsmith
- Excellent communication and collaboration skills to work effectively with Product, Engineering, Field, and other cross-functional teams
- Problem-solving and critical thinking with the ability to analyze complex problems, identify potential issues, and develop innovative solutions
- Strong self-management skills and able to prioritize tasks and manage time effectively
- Proactive approach to work and ability to take initiative
- Degree in a relevant field such as Engineering or Computer Science. Nice to have: advanced degree also in a related field of Engineering, Computer Science, Machine Learning or Artificial Intelligence
What the job involves
- The Senior Data Science Product Engineer plays a key role in the company’s AI strategy
- This role offers the opportunity to make a meaningful impact across the whole platform
- The Senior Data Science Product Engineer is a hybrid position covering the fronts of technical implementation, technical leadership and product management
- This position focuses on envisioning, leading, managing, designing, deploying, and maintaining Data Science and Machine Learning systems , focusing on product roadmap ownership, high-level architecture and practical development, and hands-on implementation
- Technical Leadership: Leading development efforts, mentoring engineers and product managers, and making key architectural decisions that involve Data Science, Machine Learning and AI
- Cross-functional collaboration: Partner with Sales, Marketing, Customer Support and other departments across the organization for a full end to end ownership from the product and technical perspective as well as internal enablement and customer support
- Develop greenfield projects and implement proof of concepts, including hands-on coding and connection to the product vision
- Architect end-to-end Data Science and Machine Learning systems by choosing the best implementation approach out of the holistic AI available tools (Data Science, Statistics, Machine Learning and Generative AI) for the problem to be solved, considering all relevant trade-offs and risks, while maximizing add-on value and minimizing costs, and work hands-on directly in the code with other engineers
- Manage and lead the UX and UI development for the visualization aspects, Use data-driven solutions to address complex cybersecurity problems
- Be responsible for the pipeline metrics and work hands-on with MLOps to optimize model and pipeline performance through proper monitoring, data mining, fine-tuning, prompt engineering, and hyperparameter tuning to meet latency and cost requirements
- Drive technical strategy by evaluating third-party tools versus building in-house solutions to maximize ROI
- Establish data governance and security standards to ensure the ethical and compliant use of sensitive information within Machine Learning and AI models
- Be able to create, lead and implement incremental roadmap and engineering development plans based on a product long term vision
Our take
Security is key in the online world, especially for companies that sell software as a service (SaaS). AppOmni's security management platform is designed to help SaaS companies protect their software from phishing attacks, malware, and other malicious threats. It can discover risks that may potentially harm businesses’ services, protect sensitive data from malicious hands, and even monitor and fix any issues that are found.
AppOmni’s customers include large enterprises and tech names such as Dropbox, Ping and Accenture, as well as large Fortune 100 financial and healthcare companies. Collectively, it now secures apps covering 78 million users and 230 million exposed data records, and more than 9 billion monthly events.
Although AppOmni has made a name for itself, it has some notable competitors, such as Insight VM and Amazon Guard Duty. The company is continuing both its international growth and building out the platform to remain on top of the competition.
Steph
Company Specialist at Welcome to the Jungle
Insights
44% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Jun 2022
$70m
SERIES C
Apr 2021
$40m
SERIES B
Total funding: $123m
Company benefits
- Autonomous Schedules: You know best how to get your work done, and sometimes that means starting the morning with a ski run before showing up to your home office or co-working space
- Home Office: As a new hire benefit, we provide a generous stipend for eligible expenses reimbursement for your home office / computer equipment set up in addition to a company-provided laptop
- Flexibility and Time Off: Have the freedom to take the time off you need with no required accruals and no set limits — just get your manager’s approval and go. We support our team in relaxing, recharging, and reconnecting
- Healthcare: AppOmni provides comprehensive insurance options for eligible employees – including medical, dental and vision, with substantial portions of the premiums covered by AppOmni
- Life Insurance & Disability Benefits: AppOmni provides group life, AD&D, STD and LTD benefits at no cost to our employees, as well as additional supplemental life insurance options
- Employee Assistance program: Our employees have access to LifeWorks Employee Assistance Program including in-person, phone, or video consultations with licensed counselors and online educational tools and resources
- Retirement Savings: We offer a 401(k) tax-advantaged retirement savings account as of the employee’s first paycheck with AppOmni covering all fees for the account
- Wellness and Connections: We value the mental health and overall wellness of our team and offer a monthly reimbursement for related wellness expenses. Participate in groups or be a champion for a cause that you’re passionate about
- Career Development: The best employees need room to grow professionally, and look for opportunities to hone their skills. We provide professional enablement programs and performance management reviews
Company HQ
Yerba Buena, San Francisco, CA
Leadership
Brendan O'Connor
(Co-Founder & CEO)Started out working in Information Security at Tech Electronics and First Bank. Previous CSO of Salesforce and Security CTO of ServiceNow.
Brian Soby
(Co-Founder & CTO)Received an MBA from Berkeley, and then joined Raytheon as a Network Security Engineer. Previous Director of Product Security at Salesforce, and Director of Security at Taulia Inc. Current Partner at Freefly Security.
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