Portcast

• As our Backend Engineer, you will be reporting directly to our Engineering Manager and will work closely with our Product team to develop new products, scale existing ones and manage deployments and architecture. You won't just take tickets here. • You'll dig into how the system actually works, ask why before how, and chase a problem past the surface to the real cause. Curiosity isn't a nice-to-have on this team, it's how we build. • Design, build and maintain APIs, services and systems and debug production issues across multiple levels of the stack. • Collaborate closely with our Business, Product and Data Science teams to understand and solve customer pain points at scale. • Design, Develop, Implement and Deploy enterprise level, high availability web application platforms, with support from the design team at Portcast. • Create a technology infrastructure that functions well at scale. You will design and improve the system architecture. • Own end-to-end the design AND implementation of how our product handles real-time data at scale, from event ingestion across dozens of carrier sources, through data normalization, through ML-powered risk and ETA models, to the user-visible recommendations our enterprise customers act on. • Build features customers actually use, harden internal tooling the team relies on, and create the alerting and monitoring surfaces that catch issues before customers do. You're a builder first, with the judgment to know what's worth building. • Make architecture trade-offs explicit and defensible. • Instrument what you build, find real bottlenecks, and pick fixes that survive the next 10× of growth, not just the next sprint. You measure before you optimize, and your numbers are reproducible.

• Own end-to-end decisions on how our platform handles real-time freight events at scale, from event ingestion across dozens of carrier sources, through data normalization, through ML-powered risk and ETA models, to the user-visible recommendations our enterprise customers act on. • Make architecture trade-offs explicit and defensible. When you choose Redis over Postgres for a use case, you can name the specific constraint that made that the right call and you can defend that decision against engineering, data science, and customer success, all of whom have different concerns. • Collaborate closely with our Data and Product team to integrate model outputs into production systems without breaking the latency budget. You decide whether a new prediction lives in real-time inference, batch precompute, or a hybrid and you defend why. • Instrument what you build, find real bottlenecks, and pick fixes that survive the next 10× of growth, not just the next sprint. You measure before you optimize, and your numbers are reproducible. • Raise the engineering bar across the team. You own sub-systems end-to-end, debug production issues across the stack, and participate in architectural decisions that shape the next 12 months of platform evolution. • Help shape a high-performing engineering culture. IC/senior engineers here don't gatekeep, they teach the framing they used to get there. You mentor through code review and design discussions, shape the operating norms the team works by, and model the standard for the engineers around you.

• Develop and execute a strategic sales plan to expand our customer base and solidify our market presence, primarily focusing on acquiring new logos. • Manage end-to-end sales from prospecting, qualification, customer research and demo meetings to negotiations & closing SaaS contracts with senior executives in B2B companies. • Proactively hunt for new customers and nurture leads, leveraging personal network, proactive lead generation efforts, and market insights. • Drive pipeline growth by identifying and engaging potential clients as well as forecasting sales targets. • Collaborating with marketing and product teams to refine sales assets and product offerings. • Work closely with Customer Success teams to ensure smooth handover of accounts after closing, facilitating a seamless transition for trial management and ongoing customer support. • Provide regular updates on sales metrics, pipeline status, challenges, and support needs, while also offering insights for product improvements.

• Own the full customer lifecycle, from onboarding to renewal, ensuring a smooth, positive, and impactful experience. • Serve as a trusted advisor to our clients, aligning Portcast’s solutions with their strategic goals and addressing their unique challenges. • Identify and execute expansion opportunities (upsell, cross-sell, increased usage, new teams, new regions) by deeply understanding customer goals, pain points, and internal decision processes. • Partner closely with Sales on trial conversion and commercial conversations, ensuring smooth handovers, strong engagement, and high conversion rates. • Collaborate with cross-functional teams, including product and engineering, to communicate customer feedback and influence improvements that enhance Portcast’s value proposition. • Develop and execute tailored success plans for each client, conducting regular check-ins, Quarterly Business Reviews (QBRs), and strategic sessions to drive adoption and satisfaction. • Analyze customer data and metrics to provide actionable insights, continuously refining the client journey for optimal impact. • Create and refine processes that streamline the customer journey, making it frictionless, value-driven, and measurable. • Implement engagement strategies to drive customer retention and satisfaction, ensuring clients remain long-term advocates of Portcast.