• Implement and iterate on Myko to automate high-volume sales workflows including follow-up sequences, deal stage updates, task creation, and Slack/CRM notifications • Audit the current sales process to identify the highest-value automation opportunities and build a prioritized roadmap • Build integrations between prospecting agents and adjacent tools (quoting, pricing, case creation) to create seamless, no-touch workflows • Lead evaluation, implementation, and ongoing optimization of call intelligence tools as our conversation and deal intelligence platform and how to use transcripts along the deal lifecycle for next best action for agents • Build integration architecture connecting the revenue intelligence platform with CRM, enablement tools, and reporting to ensure insights flow to the right stakeholders automatically • Own win/loss analysis program: design the data capture process, build reporting, and synthesize patterns for product, sales, and leadership • Develop a 3rd-party data integration roadmap identifying which external signals (intent, news, firmographic changes) should be pulled into the revenue stack and how • Partner with Sales Enablement and frontline managers to surface AI-generated coaching recommendations from call data

• Deliver high-quality, well-tested code with strong velocity and lead technical discussions that raise the bar across the team. • Proactively identify and mitigate risks, estimate large projects, and advocate for technical investments alongside feature work. • Review and optimize system performance, driving meaningful improvements in latency, throughput, and resource consumption. • Make significant design contributions to major systems, writing ADRs and leading design reviews to build consensus before work begins. • Drive scalable, secure, maintainable architecture and apply threat modeling and secure design principles throughout. • Drive team-wide alignment by clarifying goals, communicating proactively with cross-functional partners, and influencing technical decisions through clear reasoning. • Coach engineers across the team, mentor junior engineers with structured development goals, and contribute to interviews and calibration sessions. • Lead large, ambiguous projects end-to-end. Starting with delivery planning through production and maintenance while improving team engineering standards and removing roadblocks. • Own incident response and postmortems for team services, and consistently make sound short- vs. long-term tradeoffs to maintain platform health. • Use AI tools as a force multiplier to accelerate prototyping, scaffolding new services, and reducing time spent on boilerplate so more focus goes to high-judgment engineering work. • Leverage AI to rapidly explore solution spaces, generate proof-of-concepts, and pressure-test designs before committing to implementation. • Apply appropriate skepticism to AI-generated output by reviewing, testing, and owning everything that ships regardless of how it was produced.

• Develop complex features in backend applications using Java and frameworks such as Spring Boot, ensuring efficient integration of REST APIs. • Design and implement rich user interfaces using modern frontend frameworks such as Angular and React. • Create, consume, and optimize RESTful APIs, ensuring security, performance, and scalability. • Work on the integration and consumption of AWS services, such as Lambda, S3, IAM, and CloudFormation. • Support the definition of fullstack solution architecture, adopting appropriate patterns for distributed, high-availability systems. Perform code reviews, propose refactorings, and resolve technical issues across the development lifecycle. • Collaborate within agile teams, participating in Scrum/Kanban ceremonies and contributing to continuous process improvement.

• Design, build, and optimize low latency, highly available core API services • Build backend applications while working cross-functionally with teams across the organization • Assist in developing a platform and SDK for internal teams to build their services • Work with the Swish infrastructure team to optimize the existing API service architecture and strategy • Participate in code reviews and knowledge sharing with teams and team members • Influence the technical direction of distributed services at Swish