Role Description The Core Services Site Reliability Engineering team sets the foundations and maintains the principles of reliable engineering across StackAdapt's core service teams. Core service teams power StackAdapt's software backend, where all data processing occurs. The Core Services SRE team ensures robust and reliable software by building and operating self-healing systems that automatically deploy and manage the scaling of core services software, while championing and evangelizing the principles of reliable software and Site Reliability Engineering across the organization. StackAdapt is a Remote First company, we are open to candidates located anywhere in the United States or Canada for this position. What You'll Be Doing: - Maintain tooling, libraries, and infrastructure leveraged by all core service teams - Develop and maintain infrastructure services that enable engineers to manage, deploy, and scale systems - Act as a technical leader, guiding core service teams to design robust and reliable software - Propose, design, coordinate, and implement cross-cutting initiatives impacting all of core services, both as an individual contributor and as a technical leader - Propose, design, document, and communicate evolving SRE best practices to keep StackAdapt's core service backend maintainable - Conduct security reviews for new projects, technologies, and services Qualifications - At least 5 years experience in Infrastructure, Cloud, or Backend engineering - At least 5 years experience with AWS, or other Cloud provider - Strong programming, system design, and scripting skills - Deep understanding of infrastructure as a code and application/network security - Experience setting up complex AWS environments with Terraform - Database management experience is a plus - Experience with our existing technologies is a strong plus: Terraform, Vault, Nomad, Packer, Vagrant, Boundary, Consul, Waypoint, Redis, Aerospike, Go, ScyllaDB, Elasticsearch, RDS, Grafana, Prometheus, Kafka, Envoy, Nginx Benefits - Highly competitive salary - Retirement/ 401K/ Pension Savings globally - Competitive Paid time off packages including birthday's off! - Access to a comprehensive mental health care program - Health benefits from day one of employment - Work from home reimbursements - Optional global WeWork membership for those who want a change from their home office and hubs in London and Toronto - Robust training and onboarding program - Coverage and support of personal development initiatives (conferences, courses, books etc) - Access to StackAdapt programmatic courses and certifications to support continuous learning - An awesome parental leave program - A friendly, welcoming, and supportive culture - Our social and team events!

• Own the system design – you decide how data is modeled, where state lives, how components talk to each other, and how the whole system behaves under load • Design and own our data layer from the ground up – tables and relationships, indexing strategy, and query/load optimization that holds up as data and traffic grow • Design queues, background jobs and long-running workflows that stay correct and reliable under heavy load and partial failure • Make the hard, hard-to-reverse design decisions early – and reason explicitly about the trade-offs behind them • Develop and maintain our web application • Contribute to architecture decisions, the direction of our stack, and the overall product vision • Build robust pipelines for document- & email processing and 3rd-party-integrations that handle volume spikes gracefully • Build and optimize agents for our growing template-library • Extend our RAG / knowledge base system (embeddings, semantic search, reranking) • Operate in an AI-first development setup powered by Claude/Cursor • Manage version control and team collaboration via GitHub

• Own the end-to-end AI product strategy for Zero Gravity Tutor, including prompting architecture, model selection, retrieval (RAG) design, context management, and AI output quality across every subject and learning mode. • Build and continuously improve adaptive AI systems that personalise coaching based on how individual students think, learn, revise, and prepare. • Solve complex AI challenges, including expanding support from objective to subjective subjects, developing scalable evaluation frameworks, and maintaining product quality as the platform grows. • Design, implement, and continuously refine rigorous AI evaluation frameworks to measure model performance, output quality, hallucination rates, and real learning outcomes. • Prototype new AI features by writing code, building proof-of-concepts (POCs), running experiments, and validating ideas before committing engineering resources. • Own the product roadmap by defining priorities, sequencing initiatives, and ensuring the team focuses on the highest-impact opportunities for students and educators. • Establish clear success metrics for every product release, analyse performance, lead post-launch reviews, and foster a culture of rapid experimentation and continuous learning. • Act as the voice of students and teachers by conducting user research, synthesising feedback, and translating insights into meaningful product improvements. • Partner closely with Growth and Commercial teams to design product experiences and engagement loops that support sustainable user acquisition, retention, and business growth. • Shape the product experience for schools and educators, helping solve institutional challenges and creating solutions that support adoption at scale. • Work directly with partner schools and teachers to validate product direction, gather actionable insights, strengthen customer relationships, and influence the product roadmap. • Collaborate with the Commercial team to define how Zero Gravity Tutor is packaged, positioned, and communicated to institutional buyers. • Champion a culture of curiosity, experimentation, testing, and continuous improvement across the product organisation. • Work closely with Engineering to align priorities, remove blockers, accelerate delivery, and maintain a high execution pace. • Contribute to Zero Gravity's broader AI strategy by sharing learnings, best practices, and successful approaches across the wider organisation.

• Architect the systems that capture, enrich, route, and attribute every lead from first pageview to closed-won • Build the AI agents and automations that scale our marketing without scaling headcount • Design end-to-end revenue infrastructure for lead capture, enrichment, routing, and attribution • Own the marketing data infrastructure connecting campaign performance, attribution, and pipeline impact • Implement robust tracking frameworks (server-side tracking, GTM, CAPI) and build dashboards that keep data accurate and actionable • Develop high-performing landing pages (HTML, CSS, JavaScript) • Build and manage complex workflows and cross-platform integrations using Zapier and n8n • Build marketing agents and automations for repetitive, time-sensitive workflows: content drafting, social engagement, lead follow-up, sentiment monitoring, and campaign reporting • Architect publishing systems integrating CMS, data sources, and distribution channels, automating content from creation to distribution • Run disciplined experiments across workflows and distribution strategies,