Strategic Partner Development, Product Partnerships - Cybersecurity
anthropic
San Francisco, CA | New York City, NY · San Francisco
Posted May 20, 2026
- Other
- Hybrid
- AI Research & Engineering
anthropic
San Francisco, CA | New York City, NY · San Francisco
Posted May 20, 2026
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
We're looking for a Product Partnerships specialist who has worked inside the security industry to support Anthropic's product partnership strategy across SIEM/SOAR, EDR, identity, cloud security, GRC, and the AI-native security startup ecosystem. You'll collaborate with category leaders, stand-up scaled partner programs, and cultivate a managed community of security startups.
This is not a Sales role. You'll work with our product, research, engineering and GTM teams to build a platform strategy, source the partners, and shape what we build together.
Research and build critical strategic partnerships. Research, source, structure, and close strategic collaborations across the security ecosystem — working closely with internal teams to shape what we pursue and why.
Be the domain expert. Serve as Anthropic's internal voice on security partnerships — helping research, product, and Anthropic leadership understand the landscape, evaluate opportunities, and make good calls.
Prioritize the ecosystem. Map the sector and sequence the highest-impact organizations to engage. Build a pipeline with a clear point of view on where to focus and where to say no.
Navigate complex organizations. Drive partnerships through R&D, IT, legal, compliance, and procurement — with a realistic view of how these deals actually get done.
Enable integrations where relevant. Where partnerships include product or platform integrations, work with partner engineering teams and hold the quality bar.
Coordinate cross-functionally. Work across research, product, engineering, policy, and legal to structure partnerships that are compliant, deliverable, and valuable.
Non-negotiable:
Minimum 10 years of experience inside the security industry — partnerships, BD, alliances, product partnerships, or comparable. This is the single most important requirement. We need someone who can operate independently in the security ecosystem from day one, not learn it on the job.
Deep ecosystem familiarity across SIEM/SOAR, EDR/XDR, identity, cloud/workload security, GRC, or AI-native security startups.
Track record landing complex, multi-stakeholder partnerships — integration deals, ecosystem programs, or major vendor partnerships in security specifically.
Entrepreneurial operating style.
Technical fluency in security workflows and AI/ML — enough to engage credibly with CISOs, security architects, and product leaders.
Fluency in the regulatory and compliance environment that shapes enterprise security buying (SOC 2, FedRAMP, ISO 27001, sectoral regs).
Strong cross-functional collaboration skills — comfort working with technical research and product teams and translating across business, engineering, and policy.
Nice to have:
Experience building or operating an ecosystem program or developer/community function in security
An existing network across SIEM, EDR, identity, cloud security, and the AI-native security startup cohort
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.