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    Solutions Architect Manager - San Francisco, United States - Anthropic

    Anthropic
    Anthropic San Francisco, United States

    3 weeks ago

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    Description
    As the leader of the Solutions Architects team at Anthropic, you will drive the adoption of frontier AI by developing bespoke LLM solutions for top enterprises. You'll leverage your technical skills and consultative sales experience to architect innovative solutions that address our customers' business needs, meet their technical requirements, and provide a high degree of reliability and safety. You'll also lead the team of Solutions Architects, establish processes and best practices for client engagements based on your years of experience, help each team member achieve success, high productivity, and career growth, and represent Anthropic as a technical lead on some of its most important partnerships.
    In collaboration with the Sales, Product, and Engineering teams, you'll help enterprise partners incorporate leading-edge AI systems into their robust end-to-end systems. You will employ your excellent communication skills to explain and demonstrate complex solutions persuasively to technical and non-technical audiences alike. You will play a critical role in identifying opportunities to innovate and differentiate our AI systems, while maintaining our best-in-class safety standards.
    About Anthropic Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our customers and for society as a whole. Our interdisciplinary team has experience across ML, physics, policy, business and product.

    Responsibilities:

    • Manage and mentor a team of forward-deployed engineers and solutions architects, providing both technical guidance and career development
    • Set goals and reviews for your team, promoting growth and output
    • Work with a handful of highest-value enterprise customers on their prompting strategies. Provide technical guidance on integration, deployment, and adoption best practices
    • Lead and support the team in complex evaluations, problem solving and challenging customer environments
    • Partner closely with GTM leadership to understand customer requirements
    • Drive collaboration from cross-functional teams to influence and unify stakeholders at all levels of the organization to drive business outcomes
    • Travel occasionally to customer sites for workshops, implementation support, and building relationships
    • Establish a shared vision for creating solutions that enable beneficial and safe AI
    • Lead the vision, strategy, and execution of innovative solutions that leverage our latest models' capabilities

    You may be a good fit if you have:

    • 10+ years of experience as a Forward Deployed Engineer, Sales Engineer or Solutions Architect
    • 5+ years of engineering leadership experience, preferably in a customer-oriented engineering management role
    • Have an organizational mindset and enjoy building teams in a relatively unstructured environment
    • Have excellent communication, collaboration, and coaching abilities
    • Are comfortable dealing with highly uncertain, ambiguous, and fast-moving environments
    • Strong executive presence and ability to foster deep relationships with our customers
    • Have at least a high level familiarity with the architecture and operation of large language models and/or as ML in general
    • Have a working knowledge of programming in Python
    • Think holistically and can proactively identify the needs of an organization
    • Make ambiguous problems clear and identify core principles that can translate across scenarios
    • Have a passion for making powerful technology safe and societally beneficial
    • Think creatively about the risks and benefits of new technologies, and think beyond past checklists and playbooks
    • Stay up-to-date and informed by taking an active interest in emerging research and industry trends

    Annual Salary

    • The expected salary range for this position is $300k - $405k USD.
    Hybrid policy & US visa sponsorship: Currently, we expect all staff to be in our office at least 25% of the time. We do sponsor visas However, we aren't able to successfully sponsor visas for every role and every candidate; operations roles are especially difficult to support. But if we make you an offer, we will make every effort to get you into the United States, and we retain an immigration lawyer to help with this.
    LinkedIn tracking: #LI-DNI
    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.
    Compensation and Benefits* Anthropic's compensation package consists of three elements: salary, equity, and benefits. We are committed to pay fairness and aim for these three elements collectively to be highly competitive with market rates.
    Equity - On top of this position's salary (listed above), equity will be a major component of the total compensation. We aim to offer higher-than-average equity compensation for a company of our size, and communicate equity amounts at the time of offer issuance.
    US Benefits - The following benefits are for our US-based employees: - Optional equity donation matching at a 3:1 ratio, up to 50% of your equity grant. - Comprehensive health, dental, and vision insurance for you and all your dependents k) plan with 4% matching. - 22 weeks of paid parental leave. - Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more - Stipends for education, home office improvements, commuting, and wellness. - Fertility benefits via Carrot. - Daily lunches and snacks in our office. - Relocation support for those moving to the Bay Area.
    UK Benefits - The following benefits are for our UK-based employees: - Optional equity donation matching at a 3:1 ratio, up to 50% of your equity grant. - Private health, dental, and vision insurance for you and your dependents. - Pension contribution (matching 4% of your salary weeks of paid parental leave. - Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more - Health cash plan. - Life insurance and income protection. - Daily lunches and snacks in our office.
    * This compensation and benefits information is based on Anthropic's good faith estimate for this position as of the date of publication and may be modified in the future. Employees based outside of the UK or US will receive a different benefits package. The level of pay within the range will depend on a variety of job-related factors, including where you place on our internal performance ladders, which is based on factors including past work experience, relevant education, and performance on our interviews or in a work trial.
    How we're different 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. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both as needed.
    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.
    Come work with us Anthropic is a public benefit corporation based 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.
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