• Own telephony integration projects: Lead the technical execution of VoIP/SIP connectivity for enterprise customers and partners (PoCs through production). • Design reliable call paths: Architect integrations via SIP trunking providers, direct trunks, or enterprise telephony infrastructure—balancing latency, reliability, and security constraints. • Debug complex issues end-to-end: Troubleshoot signaling and media problems (e.g., routing, codecs, DTMF, call transfers, failover), using logs and network traces to find root cause fast. • Navigate enterprise constraints: Propose connectivity options when customers have strict firewall policies, limited exposed ports, or regulatory/security requirements. • Partner deeply with customer engineers: Work directly with telecom, network, and platform teams to align architectures, test plans, and operational procedures. • Support partner enablement: Help telephony partners integrate with Parloa, resolve escalations, and improve repeatability through patterns, tooling, and documentation. • Engineer pragmatic solutions: Build small utilities, scripts, or lightweight services when needed to validate assumptions, automate diagnostics, or close integration gaps. • Raise the bar on reliability: Define best practices for NAT traversal, resiliency, monitoring, and incident response in telephony-connected deployments. • Shape the product: Translate field learnings into clear feedback for core engineering—turning recurring integration pain into platform improvements.

• Design and implement optimization models for large-scale vehicle routing and scheduling problems (VRP). • Translate business requirements into mathematical models including variables, constraints, and objective functions. • Build and maintain production-grade optimization services such as APIs and microservices for routing and dispatch systems. • Leverage tools like OR-Tools, including CP-SAT and MILP, to solve complex combinatorial optimization problems. • Optimize performance and scalability of solvers handling high-volume, multi-distribution center routing scenarios. • Diagnose infeasibility issues and refine models to handle real-world constraints effectively. • Develop scenario planning capabilities including what-if analysis, disruption handling, and overrides with auditability. • Collaborate with cross-functional teams to continuously improve routing efficiency and system performance. • Implement robust exception handling and fallback strategies for real-time routing challenges. • Contribute to system design, including data pipelines, orchestration, and containerized deployments.

Optix is seeking a Lead Engineer to guide our engineering team through the shift to an AI-first product and development culture—serving as both a hands-on builder and technical mentor.  In this role, you'll split your time between building the Optix platform, establishing the technical foundation for the future of our product, and setting good team practices. You'll make architectural decisions, mentor engineers, and partner directly with our CEO to translate product vision into technical reality. You’ll collaborate directly with the leadership team to ensure Optix not only builds world-class AI capabilities but also does so with a sustainable, scalable engineering culture where AI-first thinking becomes second nature. This is a unique opportunity to shape transformation in a profitable SaaS company as we evolve from a rules-based automation platform into a conversational, agentic workspace management system. This role is open to candidates Remote, across Canada. If you’re local to Vancouver, the team works out of our beautiful Gastown office 3 days per week. What You'll Do: As the Lead Engineer at Optix, you will be primarily responsible for the technical health of the platform, architecting and building new features, and leading the way on the transition to being an AI first, agentic platform.  Technical Leadership: - Partner with our CEO to translate business objectives into technical solutions and architectural decisions - Mentor our engineering team, building their technical and AI capabilities - Evolve engineering practices, including adopting AI-first development - Own the architecture and long term technical vision for the Optix platform, develop and execute a plan to achieve it - Architect scalable AI systems that integrate seamlessly with our existing automations platform - Guide technical decisions on model selection, integration patterns, and system architecture - Establish evaluation frameworks and quality standards for AI feature development Hands-On Development: - Design and build features in the Optix platform.  - Work with Customer Success and Technical Support teams to resolve customer issues, and develop the system to reduce future ticket volume - Implement monitoring and evaluation infrastructure to continuously improve feature performance - Identify opportunities to leverage AI across our platform for maximum customer impact

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We are looking for a Senior Solution Engineer who is accustomed to solving customer’s most complex problems and closing large deals. In this role you will work directly with the sales team and channel partners to understand the needs of our customers, strategize on how to navigate winning sales cycles, provide compelling value-based demonstrations, support enterprise Proof of Concepts, and ultimately close business. As a Snowflake Solution Engineer you must share our passion about reinventing the database space, thrive in a dynamic environment and have the flexibility and willingness to jump in and get things done. You are equally comfortable in both a business and technical context, interacting with executives and talking shop with technical audiences. IN THIS ROLE YOU WILL GET TO: - Present Snowflake technology and vision to executives and technical contributors at prospects and customers - Work hands-on with prospects and customers to demonstrate and communicate the value of Snowflake technology throughout the sales cycle, from demo to proof of concept to design and implementation - Immerse yourself in the ever-evolving industry, maintaining a deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in relation to them. - Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing ON DAY ONE WE WILL EXPECT YOU TO HAVE: - 7-8 years of industry experience with a minimum of 5 years within a pre-sales environment - Outstanding presenting skills to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos. - Broad range of experience within large-scale Database and/or Data Warehouse technology, ETL, analytics and cloud technologies. For example, Data Lake, Data Mesh, Data Fabric - Hands-on expertise with SQL,SQL analytics, and Python. - Ability to connect a customer’s specific business problems and Snowflake’s solutions - Ability to do deep discovery of customer’s architecture framework and connect those with Snowflake Data Architecture. - Proactive curiosity for the AI landscape, striving to be a visionary and technical thought partner for customers navigating the space. - A proven ability to leverage AI code generation tools to accelerate productivity and efficiency. - University degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred. Masters in Data Science or Business Administration is a plus. - Experience with GSIs (EY, Deloitte, Accenture, etc), would be beneficial, but not required ABOUT OUR TEAM: Our Solution Engineers are customer obsessed and we believe in the value we can add and stay honest about it. We love to learn, are open to giving and receiving feedback and are passionate about making our clients successful. Our team works to ensure data is accessible, usable and valuable to everyone. ABOUT SNOWFLAKE: Snowflake started with a clear vision: make modern data warehousing effective, affordable, and accessible to all data users. Because traditional on-premises and cloud solutions struggle with this, Snowflake developed an innovative product with a new built-for-the-cloud architecture that combines the power of data warehousing, the flexibility of big data platforms, and the elasticity of the cloud at a fraction of the cost of traditional solutions. Snowflake is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, color, gender identity or expression, marital status, national origin, disability, protected veteran status, race, religion, pregnancy, sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com