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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building AI-powered solutions, particularly with Large Language Models and Generative AI techniques, while effectively collaborating with cross-functional teams to translate business needs into scalable applications.
Highest-signal resume keywords
Large Language Model (LLM) DevelopmentNatural Language Processing (NLP)Python ProgrammingData Science TechniquesPrompt Engineering
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningStatistical AnalysisSQLData AnalysisModel EvaluationAgent OrchestrationRetrieval TechniquesBusiness Workflow AutomationRecommendation SystemsPrototyping AI Solutions
Soft Skills
Problem-SolvingCuriosityGrowth MindsetCollaborationOrganizational Skills
Certifications & Qualifications
BS/MS/PhD in Computer ScienceData ScienceMathematicsStatisticsEconomics
Industry Keywords
Generative AIAI SolutionsSales and Marketing ProductivityBusiness Impact EvaluationScalable Solutions
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Build AI-powered solutions that accelerate Sales and Marketing productivity
- Design and implement Large Language Model (LLM)-based agents that synthesize information and automate business workflows
- Apply NLP and Generative AI techniques to derive actionable insights from structured and unstructured data
- Design, test, and optimize prompts, retrieval strategies, and agent workflows to improve AI performance and scalability
- Build recommendation solutions, including prospect interest prediction and personalized outreach recommendations
- Rapidly prototype AI capabilities, evaluate business impact, and transition successful pilots into production
- Partner with Product Owners, Product Managers, business stakeholders, engineers, and data scientists to translate business needs into scalable solutions
- Stay current on advancements in machine learning, Generative AI, and agentic systems and bring new ideas and best practices to the team
Requirements
What you’ll need- BS/MS/PhD in Computer Science, Mathematics, Data Science, Statistics, Economics, or a related field
- 1+ years of experience applying data science and machine learning techniques through professional work, internships, or research
- Experience with Python, SQL, statistical analysis, and databases
- Curiosity and a growth mindset, with a strong interest in Generative AI and machine learning
- Strong problem-solving skills and ability to work independently in ambiguous environments
- Ability to communicate technical concepts and connect solutions to business outcomes
- Experience with prompt engineering, retrieval techniques, model evaluation, or agent orchestration is a plus
- Collaborative, inclusive, and respectful team player
- Proven ability to manage tasks end-to-end and meet deadlines
- Detail-oriented with strong organizational skills and innovative mindset
Benefits
Comp & perks- Competitive salary
- Generous paid time off policy
- Charity match program
- Group Medical Insurance
- Parental Leave
- Employee Assistance Program (EAP)
- Collaborative, team-oriented culture that embraces diversity
- Professional development and unlimited growth opportunities
- Hybrid work environment with virtual work flexibility
- Annual bonus plan based on company and individual performance, or role-based, uncapped sales incentive plan
- 401k match up to $7,200 per year
- Opportunity to purchase company stock at a discount
- Market-leading benefit programs
