Benefits:

• Comprehensive health, dental and vision coverage

• retirement benefits (401k match up to 4%)

• flexible PTO

Experience Requirements:

• 10+ years of tech sales experience and 5+ years of people management experience.

• Experience training and coaching a high-performance enterprise sales team.

• Experience operating in an early stage, high-growth environment.

• Strong communication skills with the ability to clearly articulate technical concepts to a variety of audiences.

• Proven track record of selling complex software solutions to enterprise clients, with the ability to successfully execute on a consultative, solutions-oriented, value-based selling methodology.

Other Requirements:

• Ability to lead a complex, multi-threaded sale with stakeholders ranging from executives across various functions to day-to-day product users – especially the ability to convey technical concepts to non-technical audiences.

• Demonstrated passion for Harvey’s mission and strong understanding of AI and its potential applications in knowledge work and interest in the legal profession and helping lawyers do their jobs better and more efficiently.

• Energized by contributing to the development of our sales processes and team-driven sales culture, refining the value proposition of our solutions and creating sales resources to drive our success

Responsibilities:

• Recruit, mentor and lead a team of consultative, solution-based, Enterprise sales professionals.

• Own long-term strategy and day-to-day operations of the team.

• Be accountable for increasing revenue, forecasting accurately, and scaling the team.

• Work cross-functionally across the organization to build effective sales processes and solutions that meet the needs of Harvey’s clients.

• Develop our sales playbook to enable scaling, documenting learnings that can be applied across accounts.

Experience Requirements:

• 3+ years experience working as either Sales Engineer or Implementation Consultant, or a technical client facing role

Other Requirements:

• Ability to operate both independently and as part of a team, manage multiple clients simultaneously, and work collaboratively within a fast-paced, innovative team.

• Hands-on experience with web technologies, such as HTML, JavaScript

• Experienced in working with APIs

• Familiarity with AI. Machine Learning and/or NLP concepts and use cases

• Good understanding of software/SaaS sales cycle and strategies, in a fast paced startup environment

• Excellent communication skills, able to explain complex technical concepts to non-technical audiences

• Good to have: Experience with Helpdesk technologies like Zendesk, Salesforce, ServiceNow, etc.

Responsibilities:

• Serve as a technical lead between clients, account executives and our internal team.

• Lead scoping sessions with clients ​​​​to collect, analyze, clarify, and document business requirements, translating this in to solution proposals for the Forethought AI platform

• Work closely with the Sales team to align on objectives of client meetings, prioritize opportunities and provide technical solution leadership for sales opportunities

• Build and deliver customized demos to clients, from practical users to executive demonstrations

• Present solution proposals, business benefits, competitive advantages, and how Forethought solutions can meet clients' current and future needs

Education Requirements:

• Bachelor's degree in Marketing, Creative Management, or related field

Experience Requirements:

• 2 years of experience including Google Tag Manager, Google Analytics, Google Search Console, ClickUp, Asana, HubSpot, GoHighLevel, NorthBeam, JavaScript, UTM tracking, Zapier, CallTrackingMetrics, CallRail, Kall8, Wordpress, Squarespace, ClickFunnels, HTML, CSS, JavaScript, Rollworks, and Taboola

Other Requirements:

• Travel / relocation to various unanticipated U.S. locations

Responsibilities:

• Employ search marketing tactics to increase visibility and engagement

• Analyze research, data, or technology to understand user intent and measure outcomes

• Collect and analyze Web metrics

• Participate in the development or implementation of online marketing strategy

• Create content strategies for digital media