Data Scientist

• Define and lead the company’s applied AI strategy
• Deliver scalable ML and LLM-powered solutions that drive measurable business impact
• Partner closely with Product, Engineering, Security/Compliance, Sales, and Marketing to translate customer needs into production-ready AI capabilities
• Coach and grow a small team
• Architect end-to-end AI systems
• Help the company communicate AI value credibly and responsibly to customers and stakeholders

Director, AI & Data Science

Business Analyst

• Define and communicate the product vision and strategy to stakeholders and the development team.
• Prioritize the product backlog based on alignment with company goals, business value, customer needs, and feedback.
• Gather and document product requirements, ensuring clarity, completeness, and feasibility.
• Act as a liaison between stakeholders and the development team, ensuring alignment of expectations and feedback.
• Collaborate with the development team to plan and schedule releases, taking into account dependencies and resource availability.
• Participate in sprint planning meetings, setting goals and defining the scope of work for each iteration.
• Define clear acceptance criteria for user stories, ensuring that deliverables meet quality standards and user expectations.
• Continuously gather feedback from users, stakeholders, and market trends to iterate on the product and make necessary adjustments.
• Identify and mitigate risks that may impact the success of the product, making informed decisions to minimize potential negative impacts.
• Foster a culture of continuous improvement within the development team, promoting experimentation, learning, and adaptation to changing circumstances.

Technical Business Analyst

Product Manager

Product Owner, Analyst

Account Executive

• Build and manage a sales pipeline to deliver $500k USD in B2B sales to meet annual sales quota
• Manage entire sales cycle from converting market qualified leads into pipeline opportunities, through to leading bids, negotiating with procurement, and securing contract signature
• Run outbound lead generation campaigns, including cold calling, to supplement inbound leads delivered by marketing
• Develop subject matter expertise on relevant business, legal, compliance, and ethical trends and topics to act as a trusted advisor to prospective clients
• Engage effectively with C-Level audiences including General Counsels, Chief Ethics & Compliance Officers, and HR Executives as well as other senior executives across functional areas and business units
• Manage, track, and report all activities in Salesforce.com to ensure accurate company sales forecasting
• Collaborate with internal teams to ensure the successful delivery of LRN programs
• Partner with the territory leader on strategic market development opportunities

Sales Executive

Business Development Rep

• Prospecting & Outreach: Research target accounts and key decision-makers using tools like LinkedIn Sales Navigator & ZoomInfo
• Outbound Engagement: Initiate contact with prospects via email, phone, and social channels to introduce LRN’s solutions and value proposition.
• Pipeline Generation: Build and maintain a healthy pipeline of qualified opportunities to hand off to Account Executives.
• Discovery: Qualify prospects through thoughtful questions to understand their needs, challenges, and buying intent.
• Collaboration: Partner closely with Marketing and Sales teams to align on target accounts, campaign execution, and lead follow-up.
• CRM Management: Log all activity accurately in Salesforce and maintain up-to-date data on prospects and opportunities.
• Performance Tracking: Consistently meet and exceed activity metrics, including calls, emails, meetings booked, and opportunities created.

Director, AI & Data Science

Technical Business Analyst

Product Owner, Analyst

Sales Executive

Business Development Representative