Provectus

Business Development Rep

• Collaborate with Sales and Marketing to build targeted prospect lists and outreach campaigns using LinkedIn and other platforms
• Conduct high-volume outbound prospecting via email, phone, and social channels
• Qualify and nurture leads, focusing on meaningful conversations and relationship building
• Schedule qualified meetings for the Sales Team and support pipeline development
• Follow up with prospects using HubSpot and other CRM tools
• Meet and exceed daily, weekly, and monthly activity and pipeline goals
• Learn Provectus’ AI and cloud solutions, value propositions, and industry use cases to effectively position offerings to prospects

Business Development Representative – AI, Cloud Solutions

Artificial Intelligence

• Define product strategy for AI platforms, data infrastructure, and enterprise-scale data migration initiatives.
• Lead technical product discovery – evaluating emerging technologies (GenAI, Agentic AI, vector databases, streaming architectures) and assessing fit for client use cases.
• Design solution architectures in collaboration with data architects and engineers, making build-vs-buy decisions and technology stack selections.
• Develop technical roadmaps balancing innovation, scalability, security, and time-to-value.
• Own end-to-end product lifecycle for GenAI applications leveraging LLMs, RAG architectures, Agentic frameworks, and multi-modal AI systems.
• Translate business requirements into technical specifications, API contracts, data schemas, and system integration patterns.
• Guide model selection, evaluation criteria, and deployment strategies for ML models in production environments.
• Champion MLOps practices including model versioning, monitoring, performance tracking, and continuous improvement loops.
• Lead product planning for data lake/lakehouse implementations, warehouse modernizations, and cloud data platform migrations.
• Define data product requirements including ingestion pipelines, transformation logic, data quality rules, governance policies, and access patterns.
• Oversee integration of multiple data domains, ensuring interoperability, data lineage, and metadata management.
• Partner with data engineering teams on performance optimization, cost management, and scalability planning.
• Facilitate Agile ceremonies and maintain well-groomed backlogs with properly sized, technically detailed Features and epic-level stories.
• Work closely with engineering teams to decompose complex features into incremental releases with clear technical dependencies.
• Define sprint goals aligned with quarterly objectives and long-term product vision.
• Balance technical debt management with feature delivery, advocating for enablers and architectural improvements.
• Conduct technical due diligence, proofs-of-concept, and spike solutions to validate approaches before full investment.
• Analyze trade-offs between competing technical solutions, considering performance, cost, maintainability, and developer experience.
• Document technical decisions, architectural decision records (ADRs), and design patterns for knowledge sharing.
• Communicate technical strategies and recommendations to executive stakeholders with clarity and conviction.

Senior Principal Technical Solution Owner, AI & Data Platforms

Backend Engineer

• Develop and maintain scalable Python applications.
• Build and optimize RESTful APIs and servers using frameworks such as FastAPI, Django REST, or Flask.
• Design and implement chatbot applications using generative AI technologies.
• Implement and optimize Retrieval Augmented Generation (RAG) systems.
• Profile and optimize Python code to enhance performance.
• Write well-designed, testable, efficient code by using best software development practices.
• Take full ownership of solution architecture, from initial design to delivery and continuous improvement.
• Proactively identify opportunities to enhance scalability, performance, and cost-effectiveness.
• Collaborate closely with Product manager and engineering team to shape product strategy and to build a user experience to support the business users' needs.
• Act as a trusted advisor within the team of 5, guiding best practices, raising risks early, and ensuring solutions meet both technical and business needs and quality through comprehensive unit tests.
• Write clean, maintainable, and well-documented code.
• Stay updated with the latest developments in Python and AI technologies and propose innovative solutions.

Business Development Representative – AI, Cloud Solutions

Senior Principal Technical Solution Owner, AI & Data Platforms

Python Tech Lead – AI/ML