Contract Manufacturing Relationship Manager Jobs

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.

As the Global Supply Manager for Contract Manufacturing within the Data Center Infrastructure organization, you will own Anthropic's relationship with the contract manufacturers and ODMs that build our servers, racks, and accelerator systems. Your ownership extends to both sides of this relationship: the commercial framing, structuring the agreements, pricing, and SLAs that define what the partner owes us, and the execution against it, sharing forecasts, scheduling build plans, and holding the partner to volume, on-time output, and inventory commitments. This is not the sort of role where work stops after negotiation; the person who helps structure the deal is the same person accountable for the partner delivering against it every week. You will work daily with our product and manufacturing engineers who support our partner sites, and with supply chain, finance, and deployment teams internally. If you have owned a CM or ODM relationship through both a negotiation cycle and a production ramp, are passionate about HPC data centers, & enjoy working in complex, fast-paced environments, we welcome you to apply.

This is a hands-on role with up to 50% travel to partner factories in the US and abroad. You should be as comfortable meeting with partners face to face as you are presenting a long term partner strategy to leadership.

• Help structure and negotiate the CM/ODM commercial agreements, including MSAs, SOWs, pricing and NRE models, and liability and flexibility terms, with clear, measurable performance obligations.

• Design the SLA/SLO framework and vendor scorecard for the manufacturing relationship, and oversee the governance cadence, from weekly operating reviews to QBRs with partner executives.

• Share demand forecasts with the partner on a defined cadence and convert them into committed, capacity build plans aligned to our deployment schedule.

• Ensure builds are scheduled against deployment need dates and hold the partner to committed volumes and on time output, driving recovery plans when production falls behind.

• Ensure the partner maintains adequate materials and buffer inventory on site to protect the build plan and manage inventory risks against the forecast.

• Verify partner billing against contracted rates, actual output, and approved NRE, and resolve discrepancies before invoices are approved.

• Escalate performance issues through the partner's management chain with data, and own corrective actions through closure.

• Coordinate with product engineering, manufacturing engineering, supply chain, and deployment operations so factory commitments and downstream plans stay aligned.

• Have 10+ years of experience in supply management, supply chain, or manufacturing operations, with direct ownership of a contract manufacturer or ODM relationship.

• Have owned a CM/ODM relationship through both a commercial negotiation cycle and a production ramp, and can speak to outcomes on both.

• Have structured and negotiated manufacturing agreements: SOWs, pricing models, SLAs, and inventory liability terms.

• Have owned build plans, forecast commitments, and on time delivery for products built at a manufacturing partner site.

• Are rigorous with data: are comfortable running scorecards, verifying partner reported numbers, and using both to drive decisions.

• Are comfortable working cross functionally and have led engineering, finance, supply chain and operations teams to a decision when their priorities conflicted.

• Communicate clearly in writing and produce artifacts senior stakeholders can act on without follow-up.

• Have a bachelor's degree in a relevant field or equivalent practical experience.

• Experience managing server, rack, or accelerator system manufacturing with major CMs and ODMs (Foxconn, Quanta, Wiwynn, Jabil, ZT Systems, Flextronics, Celestica, or similar).

• Experience with CM cost and billing structures: unit price, NRE, consigned versus turnkey material, and inventory liability models.

• Experience supporting large scale hardware deployments where on-time delivery and supplier performance are critical program outcomes.

• Experience with S&OP processes, capacity modeling, or clear-to-build management.

• Experience with liquid-cooled or high power density compute rack systems.

• Experience bringing up a new manufacturing partner or second source alongside engineering teams.

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.

Annual Salary: $320,000 — $405,000 USD

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 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.