Staff Product Manager

Opaque is the confidential AI platform unlocking sensitive data to securely accelerate AI into production. Created by world-renowned researchers at the Berkeley RISELab, Opaque’s user-friendly platform empowers organizations to run cloud-scale, general purpose AI workloads on encrypted data. Opaque supports popular languages and frameworks for AI, including Python and Spark, and enables governed data sharing with cryptographic verification of privacy and sovereignty. Opaque customers deploy high-performance AI faster and eliminate the tradeoff between innovation and security. 

At Opaque, we cultivate an effective work culture grounded in kindness, customer-centricity, and continuous improvement. By fostering innovation, inclusivity, and excellence, we attract top talent and set industry standards, leading to widespread adoption and trust in AI technologies that keep data private and sovereign.

• Premier health coverage: We cover medical, dental, and vision insurance premiums for you and any dependents - along with basic life insurance and LTD. We also offer FSA, HSA, and other voluntary insurance programs (Life, Accident, Illness, Hospital).
• Equity incentives: We offer an employee stock option plan to ensure you have a stake in our company's success.
• Flexible PTO: We support positive work-life balance and encourage you to take time away to refresh on your own terms.
• Retirement planning: 401K plans (both Roth and Traditional).
• Flexible work: We are a remote-first company and offer a home-office equipment setup stipend to support your best work.
• Mental health: Free access to Spring Health for therapy, wellness exercises, and mental health coaching.
• Corporate discount program: Free access to Working Advantage for corporate discounts on a variety of products, services, and experiences. 

As a Staff Product Manager at Opaque, you’ll help shape the future of Confidential AI. You’ll work hands-on to identify customer problems and opportunities, propose and validate ideas, define scope and requirements, drive execution, and measure impact across enterprise use cases.

You’ll report directly to the CTO and be responsible for delivering product initiatives that are already in motion while shaping what comes next based on insights from customer needs, technical feasibility, and product performance. You’ll work closely with engineering and design to ensure we’re building the right things — and building them right — for enterprise customers adopting secure AI workflows.

• Drive near-term execution of our product roadmap, while informing future strategy through customer and market insights.
• Work closely with Engineering to define and prioritize features, triage issues, and maintain delivery momentum.
• Own cross-functional planning with engineering, design, and the broader product team to align on quarterly goals and milestones.
• Partner with Product Design on discovery, user research, and iterative prototyping to ensure we are building what’s desirable and viable.
• Communicate roadmap and product decisions to internal stakeholders and customers in both written and live formats.
• Ruthlessly prioritize across input sources (customer feedback, stakeholder input, technical constraints) and make confident product calls.
• Champion execution by holding teams accountable and keeping workstreams aligned across product, design, and engineering.

• 5–8 years of relevant product management experience, with a strong preference for work in enterprise software, data platforms, AI / ML, or data privacy.
• Proven ability to deliver product execution independently—you move fast, untangle ambiguity, and drive results without needing coaching.
• Strong technical fluency—comfortable digging into architecture, APIs, and data workflows, even if not writing code.
• Ability to quickly onboard into new technical contexts, ask smart questions, and identify what’s truly important.
• Demonstrated experience with user discovery, shipping iteratively, and owning KPIs from definition to tracking.
• Strong communicator—able to clearly explain tradeoffs, customer impact, and product plans to both internal and external audiences.
• Prior startup or high-growth company experience serving enterprise customers is strongly preferred. Candidates with only consumer or SMB backgrounds are unlikely to be a fit.