As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping customers understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack.\\n\\nYou'll combine your technical depth with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability.\\n\\nAs a Commercial Solutions Architect, you'll go deep with priority accounts as a hands-on builder, while creating reusable blueprints, demos, and enablement that extend Claude's reach across the broader Commercial book of business.\\n\\nWorking closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.\\n\\nResponsibilities:\\n\\nPartner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation\\n\\nServe as the primary technical advisor to customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams and stakeholders to drive customer success\\n\\nSupport customers building with the Claude API, Claude Code, and Claude for Enterprise\\n\\nShip working code. Build prototypes and proof-of-concepts hands-on, develop eval frameworks, and write near-production examples that customers can extend\\n\\nBuild reusable blueprints, demos, and enablement assets that scale across customers\\n\\nGuide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack\\n\\nHelp customers develop evaluation frameworks to measure Claude's performance for their specific use cases\\n\\nIdentify common integration patterns and contribute insights back to our Product and Engineering teams\\n\\nTravel occasionally to customer sites for workshops, technical deep dives, and relationship building\\n\\nMaintain strong knowledge of the latest developments in LLM capabilities and implementation patterns\\n\\nYou may be a good fit if you have:\\n\\n3+ years of highly technical experience as a software engineer (or equivalent) with some customer-facing exposure, OR 3+ years as a Solutions Architect, Sales Engineer, or Technical Account Manager with strong hands-on building experience\\n\\nA builder identity. You've shipped real software, you have technical taste, and you care about the craft of what you build\\n\\nA systems mindset. When you see a problem, your instinct is to ask "how do I make this reusable." You'd rather build one thing that serves ten customers than ten things that serve one each\\n\\nStrong coding ability. You ship prototypes regularly and can work in a real codebase, not just notebooks. Comfort with Python expected\\n\\nStrong ability to build trust with technical stakeholders and adjust your communication for varied audiences\\n\\nStrong technical communication skills with the ability to translate customer requirements between technical and business stakeholders\\n\\nExperience designing scalable cloud architectures and integrating with enterprise systems\\n\\nFamiliarity with common LLM frameworks and tools, or a background in machine learning or data science\\n\\nComfort operating in early-stage, ambiguous environments where the playbook doesn't exist yet, and a track record of building structure as you go\\n\\nExcitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities\\n\\nA love of teaching, mentoring, and helping others succeed\\n\\nPassion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems\\n\\nThe annual compensation range for this role is listed below.\\n\\nFor 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.\\n\\nAnnual Salary:$240,000-$315,000 USD
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\nProduct at Brex The Product team is at the forefront of Brex's mission to empower employees anywhere to make better financial decisions. With a deep understanding of the business, we identify and scope out the most impactful opportunities for Brex to tackle.
\nResponsibilities As a Staff Product Manager at Brex, you will operate at the intersection of product strategy, technical depth, and business impact. You will define and drive multi-quarter strategy within one of Brex’s most critical product domains, leading initiatives that materially shape the company’s trajectory.
\nRequirements
\nCompensation The expected salary range for this role is $240,000 - $300,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package
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\nYou will shape how we plan, forecast, and allocate resources for the teams that power the company's growth.
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\nLocation
\nSan Francisco
\nEmployment Type
\nFull time
\nDepartment
\nFinance
\nCompensation
\nThe base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.
\nBenefits
\nAbout the Team
\nOpenAI Finance helps ensure the organization is set up for success in pursuit of its mission of ensuring that artificial general intelligence benefits all of humanity.
\nWithin Finance, the Revenue Assurance and Strategy team partners with Product, Growth, Legal, Deal Desk, GTM, and Revenue Accounting to support scalable, audit-ready monetization. We focus on:
\nAbout the Role
\nWe’re looking for a Technical Revenue Leader to own product and monetization advisory, support revenue recognition across our professional services portfolio, and drive scalable frameworks for revenue accounting as OpenAI’s products and commercial motions evolve.
\nReporting to the Head of Technical Revenue, you will serve as a trusted advisor in high-ambiguity spaces where product design, pricing, contracting, and accounting intersect. You will help define the accounting posture and operational approach for new and changing revenue streams, and partner across teams to ensure we maintain strong controllership standards as we scale.
\nThis role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.
\nIn this role, you will:
\nYou might thrive in this role if you have:
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