Staff Solutions Architect, Harvey
Offers equity
Generative AI for legal teams
Open for applications
Generative AI for legal teams
201-500 employees
Open for applications
Offers equity
201-500 employees
Company mission
To help build the future of professional services.
Role
Who you are
- Strong knowledge of security standards and best practices, particularly in relation to AI and cloud-based platforms
- Proven experience with customer-facing roles, including the ability to explain complex technical concepts to non-technical audiences
- Familiarity with setting up and configuring SSO and other authentication protocols
- Excellent problem-solving skills with the ability to think creatively and strategically
- Strong communication and interpersonal skills, with the ability to build relationships with both internal teams and external customers
- Ability to work independently and manage multiple priorities in a fast-paced environment
What the job involves
- The Staff Solutions Architect at Harvey.ai is a critical role that bridges the gap between our product team and client-facing teams
- You will be responsible for explaining the technical aspects of Harvey, addressing security and architecture questions, configuring customer accounts, and ensuring seamless integration with our platform
- Your expertise will be instrumental in driving upsell opportunities for additional SKUs and our API offerings
- Collaborate closely with the Go To Market and Customer Success teams to articulate the technical capabilities and benefits of Harvey.ai to prospective and existing clients
- Address and resolve customer queries related to security, architecture, AI technology, and platform integration
- Lead the setup and configuration of customer accounts, including Single Sign-On (SSO) and other authentication mechanisms
- Work directly with customers to understand their requirements, design solutions, and ensure successful deployment of the Harvey.ai platform
- Assist in the identification and pursuit of upsell opportunities, particularly around additional SKUs and API capabilities
- Serve as a technical advisor during the sales process, providing guidance on best practices, technical feasibility, and product alignment with customer needs
- Maintain a deep understanding of Harvey.ai’s architecture, security standards, and AI capabilities to effectively communicate with both technical and non-technical stakeholders
- Collaborate with the product team to provide feedback and insights based on customer interactions, helping to inform future product development
Salary benchmarks
Our take
The explosive popularity of generative AI tools has seen specialized solutions popping up for all kinds of industries. Hoping to help supercharge efficiency and productivity for legal teams, Harvey supplies Gen AI that can assist with documentation, as well as aid research and optimize workflows.
Via natural language instructions, Harvey helps draft and analyze legal documents. It can also answer complex questions across large document sets, or even handle research queries that cover multiple domains in legal, regulatory and tax.
Its ability to support legal practitioners as if it's another member of the team is what makes Harvey particularly interesting. This approach has seen the company raise substantial funding, reaching Unicorn status in 2024. Funds will be used to expand to new geographies, grow headcount and further collect and curate data to train more “domain-specific” AI models.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Few candidates hear
back within 2 weeks
Company
Funding (last 2 of 5 rounds)
Jul 2024
$100m
SERIES C
Dec 2023
$80m
SERIES B
Total funding: $206.1m
Company benefits
- Comprehensive health, dental and vision coverage
- Retirement benefits (401k match up to 4%)
- Flexible PTO
Company HQ
SoMa, San Francisco, CA
Articles
Leadership
Winston Weinberg
(CEO)Graduated with a Juris Doctor from the USC Gould School of Law, then spent 1 year as an Associate at O'Melveny & Myers before founding Harvey.
Gabe Pereyra
(President)Previously worked as a Research Scientist at Meta and DeepMind. Also spent a year as a Brain Resident at Google.
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