Netomi

Backend Engineer

• System Design & Development: Architect and implement clean, modular, and scalable backend services using Java, Spring Boot, and modern microservice principles.
• Database Management: Design efficient database schemas and write optimized queries for RDS (MySQL/PostgreSQL) and, optionally, NoSQL databases like Elasticsearch, MongoDB, or DynamoDB.
• Messaging & Event-Driven Systems: Integrate Kafka or RabbitMQ to build robust and loosely-coupled event-driven architectures.
• Caching Strategies: Leverage Redis or Memcached to implement high-performance caching strategies for scalable and low-latency systems.
• Distributed Systems: Contribute to the design of distributed, resilient systems that can handle high throughput and concurrency.
• Performance Optimization: Profile and tune backend performance across databases, APIs, and infrastructure.
• Testing & Code Quality: Write clean, maintainable code with comprehensive unit and integration tests to ensure reliability and stability.
• Startup Environment: Thrive in an agile, collaborative environment and take ownership of end-to-end feature delivery.

SDE II – Backend

Frontend Engineer

• Ownership of key UI modules
• Own front-end build and test systems
• Ensure the technical feasibility of UI/UX designs and implement them.
• Translating designs and wireframes into high-quality code
• Building reusable components and front-end libraries for future use
• Working with Backend, Data Science and DevOps engineers for API implementation and design.
• Optimize UI application for optimal performance and scalability

SDE I – Frontend

Product Manager

• Own roadmap and delivery for: CCaaS/agent desk integrations, Integration Builder + Actions runtime productization, SDKs/embedded experiences, and extension contracts.
• Define “integration tiers” (basic → advanced → regulated/mission-critical) with clear requirements and supportability rules.
• Partner with Engineering to create standardized patterns for:
• authentication + secrets,
• environment parity,
• schema validation + compatibility versioning,
• reliable execution + rollback.
• Partner with Data Science/QA to define test harnesses and release gates that cover:
• multi-turn conversational flows,
• tool-call success/failure scenarios,
• latency and load behavior,
• safety/guardrail compliance.
• Work with Delivery/CS to convert repeat patterns into templates and reusable assets while keeping a firm line between product scope and project scope.

Senior Product Manager

Account Manager

• Act as the principal on-the-ground navigator within large, complex, and often siloed enterprise customer organizations to identify, engage, and secure commitment from all critical stakeholders, executives, and departmental leaders.
• Take ownership of the customer relationship and drive deep account penetration by developing, championing, and executing a multi-year, technical and business-aligned roadmap for AI deployment and expansion.
• Ownership over the financial health, expansion, and long-term commercial structure of the account.
• The hands-on, executive responsibility for structuring, driving, and governing the complex implementation roadmap.
• Design and lead the implementation of the Netomi solution as a comprehensive program, coordinating technical, product, and business activities both internally and with the customer's teams to ensure aggressive delivery and demonstrable ROI.
• Translate complex AI capabilities and performance data into clear, compelling narratives that resonate with and drive decision-making among multiple, competing executive stakeholders and departmental heads.
• Proactively identify internal roadblocks and competing priorities within the customer's organization.
• Identify and convert new use cases, departments, and lines of business into expansion opportunities, securing the resources and internal consensus needed to scale the Netomi platform across the entire enterprise.
• Serve as the primary advocate for the customer's long-term strategic needs and priorities, ensuring internal product and engineering roadmaps align with the highest-value enterprise requirements.
• Serve as the primary, executive-facing leader for the account. Design, create, and deliver compelling, high-impact strategic decks and presentations to C-level and senior executive audiences, focusing on clarity, persuasion, and a clear call to action.
• Craft the end-to-end AI program roadmap and execution strategy for the enterprise account, including defining project milestones, technical deliverables, and success criteria, acting as the ultimate authority to overcome implementation barriers.
• Take full accountability for the account's commercial health, proactively navigating and figuring out expansion opportunities (upselling/cross-selling), structuring agreements, and leading the entire renewal process to ensure high retention and growth.
• Utilize superior negotiation, persistence, and problem-solving skills to overcome political, commercial, or resource-based obstacles, clearing the path for the delivery team.
• Translate complex AI capabilities and performance data into clear, concise, and business-value-focused insights for executive stakeholders.

Principal Account Strategist

• Design, develop, and deploy scalable, high-performance software systems and infrastructure to solve complex business problems.
• Collaborate closely with Data Scientists to support the integration of machine learning models and data pipelines into production systems, focusing primarily on software engineering aspects (e.g., code optimization, deployment, and system integration).
• Work with Product & Engineering teams to integrate solutions into products and services, emphasizing system design, coding, and best practices.
• Develop and manage data pipelines to handle large datasets, ensuring efficient data ingestion, transformation, and storage to support both data scientists and engineering needs.
• Architect and implement scalable software systems, optimize existing systems, and build new features with a focus on system efficiency and scalability.
• Manage databases and caching systems (e.g., MySQL, Redis, Elasticsearch), ensuring efficient data storage and retrieval, while supporting the needs of data scientists working with large datasets.
• Deploy robust infrastructure solutions on AWS or GCP, ensuring high availability, fault tolerance, and scalability for data-heavy applications.
• Conduct experiments and test hypotheses to improve system performance and reliability, leveraging collaboration with data scientists to ensure models and algorithms are properly integrated into production.
• Communicate technical details and insights to both engineering and non-engineering stakeholders, fostering cross-functional understanding.
• Stay updated on the latest developments in software engineering, system design, and infrastructure best practices, sharing knowledge with the broader team.
• Provide technical mentorship and guidance to junior team members, encouraging continuous learning and development.
• Ensure system compliance with data security and privacy regulations, incorporating best practices into development processes.

SDE II – Python Developer

Product Marketing

• Work with the team to close $200,000+ ARR opportunities with the largest B2C brands in the world while providing regular updates to Sr. Leadership and strategic partners.
• Assist with strategic content creation (one-pagers, slide decks, etc.) to demonstrate Netomi’s value based specifically on the needs of each account.
• Shape executive-level AI transformation conversations and follow-up with prospective customers ensuring consistent momentum throughout the process Coordinate with customers’ working teams, stakeholders, and/or procurement to maintain momentum in active conversations and drive opportunities through the funnel with consistent follow up and execution of requested/required deliverables.
• Lead the creation and presentation of custom product demos.
• Orchestrate cross-functional deal strategy and help manage the implementation of customer pilots and POCs working with relevant teams internally.

SDE II – Backend

SDE I – Frontend

Senior Product Manager

Principal Account Strategist

SDE II – Python Developer

AI Go-To-Market Specialist