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Senior Product Manager, Identity & Governance

Remote:

Full Remote

Contract:

Full time

Experience:

Mid-level (2-5 years)

Work from:

California (USA), United States

Offer summary

Qualifications:

4+ years of product management experience, Deep understanding of B2B user management, Experience in technical product enhancement, Knowledge of cloud infrastructure and scalable services, Background in data, machine learning, and generative AI.

Key responsabilities:

Understand admin and non-admin user workflows
Conduct customer interviews for usability insights
Analyze metrics to guide decision making
Define strategy and roadmap for identity capabilities
Collaborate cross-functionally on product execution

Weights & Biases SME https://wandb.ai/

201 - 500 Employees

See more Weights & Biases offers

Job description

Reporting to the Lead Product Manager, Platform, the Senior Product Manager, Identity & Governance will define & own the strategy for Identity & Access Management, including user management, authentication and authorization capabilities across all Weights & Biases products. In addition, this role will also be responsible to devise and execute a roadmap for key governance themes like privacy controls, audit logs, sensitive data masking and more.

The Senior Product Manager, Identity & Governance will collaborate with the Identity Engineering team, cross-functional product and engineering teams, Security & Compliance, customer-facing teams, and Product Marketing to define and execute both near- and long-term roadmaps for IAM and governance capabilities, and efficiently execute those, with the goals to help customer admin personas configure & enforce various required controls in a simplified way, and to allow non-admin personas access the allowed products & features in a secure and easy manner.

What you’ll achieve (Responsibilities):

User Personas: Deeply understand the workflows of both admin and non-admin users. Identify pain points and opportunities by analyzing their product interactions and cross-team collaborations.

Customer Insights: Conduct regular interviews with customers, partners, and internal teams, leveraging usability studies to uncover challenges and validate hypotheses for improving identity and governance experiences.

Data-Driven Decisions: Analyze and improve existing metrics to better capture user behavior. Drive projects to establish new metrics, focusing on identity & governance patterns that influence business growth and reduce churn.

Strategic Planning: Define the strategy and roadmap for identity and governance capabilities across all products. Continuously adapt based on market trends, customer feedback, and internal input.

Execution: Partner closely with the engineering team(s) to incrementally build new identity & governance capabilities and improve existing ones, by addressing teams’ questions, helping make trade-offs, communicating any risks & dependencies to relevant stakeholders, and doing acceptance testing.

Collaboration: Work cross-functionally with security & compliance, marketing, sales, customer success, legal, documentation, and other product & engineering teams. Gain insights and communicate hypotheses, goals, and findings in conversations across teams.

What we're looking for (Requirements):

4+ years of product management experience for a B2B product, ideally serving a mix of smaller companies to large global organizations.

Deep understanding of B2B user management, authentication & authorization standards, and ideally auditing and privacy control mechanisms.

Experience making a technical product better, especially finding a balance between simplicity and flexibility to improve the admin & non-admin user experience.

Experience driving the end-to-end product lifecycle, working autonomously to conduct user interviews, dig in on metrics, define requirements, run a process with engineering to deliver the product, measure success, and iterate. You partner with your engineering colleagues and other cross-functional teams, and sweat the details to ensure they have a clear and efficient plan of execution.

Ideal candidates will also have:

Understanding of and a demonstrated interest in cloud infrastructure and scalable service-based architecture (comfortable with at least one of the major cloud ecosystems)

Experience working in a startup context, with demonstrated skills taking ownership and driving ambiguous problems to success.

Background and keen interest in data, machine learning, and generative AI

Out Benefits

🏝️ Flexible time off

🩺 Medical, Dental, and Vision for employees and Family Coverage

💵 Home office budget with a new high-powered laptop

🥇 Truly competitive salary and equity

🚼 12 weeks of Parental leave (U.S. specific)

📈 401(k) (U.S. specific)

Supplemental benefits may be available depending on your location