Egen

Backend Engineer

• Lead the design and implementation of high-performance, scalable, and secure backend systems using Python (FastAPI/Flask).
• Drive the adoption of best practices within the Google Cloud Platform ecosystem (GKE, Cloud Run, Pub/Sub, Cloud Spanner/SQL).
• Propose and execute architectural changes that improve system resilience, reduce technical debt, and support long-term business goals.
• Establish and enforce security best practices and coding standards across the entire backend stack.
• Act as the technical lead for the engineering team, providing high-level guidance while remaining "hands-on" with complex features and debugging.
• Oversee the code review process to ensure quality, maintainability, and adherence to CI/CD standards.
• Mentor junior and mid-level engineers, fostering a culture of continuous learning and technical growth.
• Refine CI/CD pipelines and DevOps integration to streamline the development-to-production lifecycle.
• Serve as the primary liaison between the engineering team and product managers, designers, and clients.
• Translate complex business requirements into clear technical specifications and documentation.
• Partner with cross-functional teams to ensure the timely delivery of features that meet both user needs and technical constraints.

Technical Lead – Python

Client Partner

• Pipeline & Sales Execution: Take ownership of the full sales lifecycle, from qualifying new opportunities to closing deals within State, Local, and HigherEd accounts.
• Account Strategy & P&L Management: Develop and execute strategic account plans, maintaining full P&L ownership and responsibility for meeting individual and team bookings/revenue targets.
• Relationship Management: Build and maintain C-level, VP, and Director-level relationships across multiple government agencies and educational institutions.
• Channel Collaboration: Partner with major cloud service providers (CSPs) like Google Cloud and Salesforce to drive go-to-market plays, identify leads, and establish mutual success plans.
• Solution Development: Collaborate with delivery teams to scope service projects and draft Statements of Work (SOWs) that address specific public sector challenges using Egen’s assets and accelerators.
• Marketing & Brand Awareness: Work with marketing to execute regional campaigns (e.g., "Gemini for Government") and develop customer success stories that showcase Egen’s impact in the public sector.

Client Partner, Public Sector – SLED, Higher Education

• Engage in backend development using Python and related technologies.
• Collaborate with cross-functional teams for system integration and project delivery.
• Design and implement backend services with best practices in mind.
• Participate in code reviews and contribute to team knowledge sharing.

Senior Python Developer

Product Marketing

• Recruit, mentor, and lead a high-performing team of Change Management consultants.
• Develop the methodologies and frameworks your team will use to drive high user adoption and seamless process enablement for clients deploying our solutions.
• Guide your team in designing and facilitating impactful client workshops that directly support and execute the broader GTM strategy and enablement objectives.
• Collaborate with PreSales and Technical leadership to translate complex technical capabilities into clear, marketable, and sellable offerings.
• Conduct deep market analysis to define the Total Addressable Market (TAM) for new and existing offerings, identifying white-space opportunities and ideal customer profiles (ICPs).
• Advise on the packaging and pricing strategies that align our offerings with current market demand.
• Design and deliver comprehensive training programs for Client Partners, BDRs, and Sales Leaders. Ensure the field is fluent in our value proposition, use cases, and competitive differentiation.
• Create and maintain the "Sales Motions" for each offering—defining the step-by-step process from prospecting to close.
• Act as the feedback mechanism between the field (Sales) and the factory (Product/PreSales), adjusting strategy based on real-world win/loss data.
• Serve as a lead facilitator for our premium strategy workshops and executive briefing events with prospective and current clients.
• Design and run external enablement events that help our clients understand how to leverage our solutions to drive their own business transformation.
• Partner closely with Marketing to produce high-impact sales assets, including pitch decks, one-pagers, case studies, and battle cards.
• Own the positioning and messaging framework, ensuring consistency across all channels—from the website to the sales call.

Senior Director, GTM Strategy – Change Enablement

Machine Learning Engineer

• Architect & Build: Design and implement end-to-end GenAI applications using Python, LangChain, and LlamaIndex on Google Cloud
• Engineer for Precision: Develop advanced RAG (Retrieval-Augmented Generation) pipelines and Semantic Search systems using GCP Vector Search or Pinecone
• Optimize Models: Lead efforts in LLM and Embedding fine-tuning to improve domain-specific performance
• Agentic Ops: Build and manage agentic workflows that automate complex multi-step reasoning tasks
• Collaborate & Innovate: Work directly with customers to understand requirements, suggest novel features, and implement state-of-the-art AI techniques
• Productionize: Apply MLOps best practices to ensure models are served efficiently, monitored, and continuously improved

Senior AI/ML Engineer

AI Engineer

• Architect & Build: Design and implement end-to-end GenAI applications using Python, LangChain, and LlamaIndex on Google Cloud.
• Engineer for Precision: Develop advanced RAG (Retrieval-Augmented Generation) pipelines and Semantic Search systems using GCP Vector Search or Pinecone.
• Optimize Models: Lead efforts in LLM and Embedding fine-tuning to improve domain-specific performance.
• Agentic Ops: Build and manage agentic workflows that automate complex multi-step reasoning tasks.
• Collaborate & Innovate: Work directly with customers to understand requirements, suggest novel features, and implement state-of-the-art AI techniques.
• Productionize: Apply MLOps best practices to ensure models are served efficiently, monitored, and continuously improved.

Senior AI Engineer

Data Engineer

• Design and implement **scalable streaming data platforms** to support real-time ingestion, processing, and analytics
• Architect and guide the development of **end-to-end data platforms** across batch and streaming workloads
• Lead and contribute to **Master Data Management (MDM)** solutions, including:
• Golden record design
• Data matching, survivorship, and hierarchy management
• Integration patterns with downstream consumers
• Define and implement **data governance frameworks**, including:
• Data ownership and stewardship models
• Data quality rules and monitoring
• Metadata, lineage, and access controls
• Collaborate with application teams to expose data via **APIs and event-driven architectures**
• Provide architectural guidance for **cloud-native deployments**, including containerization and orchestration
• Establish **data architecture standards, patterns, and best practices**
• Partner with DevOps teams to enable CI/CD, infrastructure automation, and platform reliability
• Review designs, mentor engineers, and help drive technical decisions across projects