Solutions Engineer

• Build deep relationships with AWS Solutions Architects, focusing initially on defined verticals and open-source database migration motions.
• Develop and deliver technical workshops, training materials, and enablement content to give AWS SAs the fluency to position Supabase.
• Create demos, integration guides, and reference architectures that make Supabase’s fit with AWS services immediately legible.
• Partner with AWS SAs on active opportunities, providing technical support to move deals forward and feeding pipeline intelligence back to the alliance.
• Resolve blockers for AWS SAs working on Supabase implementations to maintain their credibility with customers.
• Troubleshoot complex integration scenarios and turn solutions into reusable assets.
• Maintain a close feedback loop with Supabase product and engineering teams to ensure technical guidance reflects the latest platform capabilities.
• Measure success through co-sell opportunities sourced (ACE pipeline), influenced deals, and SA enablement metrics.
• Write technical blog posts and case studies that demonstrate real-world Supabase implementations.
• Represent Supabase at conferences, meetups, and AWS-sponsored events (e.g., re:Invent and regional summits).
• Develop video content and interactive learning experiences to reduce the "time-to-fluency" for AWS SAs.

Partner Solutions Architect – AWS

• AI Products & Solution Architecture:
• Design and guide implementation of AI-driven products, APIs, and platform features from concept to production;
• Evaluate, select, and benchmark AI/ML models — including frontier LLMs, fine-tuned models, and open-source alternatives;
• Architect scalable, observable, and cost-efficient AI systems that span experimentation, staging, and production;
• Collaborate with product managers and business stakeholders to translate requirements into robust solution architectures;
• Establish architectural standards for multi-agent systems, including context management strategies and memory designs.
• Agentic AI & Process Automation:
• Identify business processes that can be automated or enhanced via agentic AI, and define the architecture for doing so;
• Design and oversee implementation of MCP server ecosystems that connect agents to enterprise data sources and tools;
• Architect multi-agent workflows using orchestration frameworks (LangGraph, CrewAI, AutoGen), with appropriate human-in-the-loop checkpoints;
• Integrate agent-to-agent communication standards (A2A, ACP) where multi-agent coordination is required;
• Drive governance of MCP deployments: audit trails, authentication, rate limiting, and access control policies;
• Embed AI into internal and external tools to improve operational efficiency across teams.
• AI-Augmented Software Engineering:
• Set up and continuously optimize AI-augmented developer environments (Claude Code, Cursor, GitHub Copilot);
• Introduce AI into automated testing, deployment pipelines, code review, estimation, and technical documentation;
• Define and enforce best practices for using AI coding tools safely, securely, and productively in software delivery;
• Drive adoption of context engineering disciplines — designing prompts, tool schemas, and MCP resources that maximize agent reliability;
• Governance, Security & Responsible AI:
• Ensure all AI systems are designed with security-first principles: input validation, output guardrails, and least-privilege access;
• Maintain AI compliance standards aligned with GDPR, the EU AI Act, EU Data Act, CRA, ISO27001, and internal model governance policies;
• Implement observability and evaluation pipelines to detect hallucinations, drift, and performance degradation in production LLM systems.

AI Solutions Architect

• Own the technical pre-sales process end-to-end, from discovery and solution design through product demonstrations, technical proposals, and migration planning for prospective customers.
• Partner closely with Sales, Woo, and Automattic for Agencies (A4A) on strategic opportunities, leveraging your technical expertise to become the trusted advisor to prospect developer teams, IT and operations teams, and leadership.
• Lead technical discovery conversations that surface architecture complexity, risk, and opportunity, and use those findings to build a compelling, right-sized solution for each prospect.
• Architect migration plans for complex sites (single-site, Multisite, WooCommerce), including database moves, DNS strategy, caching/CDN configuration, performance tuning, and risk mapping, and then hand off cleanly to the TAM or migration team for execution.
• Run pre-migration performance benchmarks and document the case for how Pressable will measurably improve a prospect’s current environment (TTFB, page load, stability, ops savings).
• Design and implement a scalable pre-sales engagement model, creating reusable assets (demo environments, standard performance benchmarks, technical qualification frameworks) that empower Account Executives to confidently close standard deals without SE intervention.
• Conduct competitive analysis and position Pressable against other hosts (WP Engine, Kinsta, Pantheon, etc.) with clear, factual TCO and performance comparisons.
• Represent Pressable in the broader WordPress community—at WordCamps, agency partner events, webinars, and through published content—building Pressable’s reputation as the technical choice for serious WordPress professionals.
• Feed structured, field-sourced insights back to Product and Engineering from what you’re seeing in pre-sales conversations, contributing to roadmap decisions and sales positioning.
• Provide a clean, documented handoff to the TAM at deal close, including full context on the customer's architecture, risk areas, goals, open items, and first-90-days priorities.
• Push the boundaries of AI in hosting by going beyond day-to-day usage: experiment with new AI-driven ways to work with the application layer, redesign how customers interact (or don’t need to interact) with the platform, and integrate adjacent systems; then turn field learnings into commercially grounded, AI-powered product ideas (for example, auto-generated performance analyses, migration runbooks, or risk maps) that expand what the platform can do for prospects and accounts.
• Steer discussions with senior prospect leadership regarding technical and product strategy, trade-offs, and risk management during the evaluation process.

Senior Solutions Engineer

• Provide first-level technical support to customers via video conference, email, and chat, resolving issues related to software applications and services.
• Diagnose, troubleshoot, and resolve hardware, software, and network issues by collaborating with internal teams and utilizing support tools.
• Document and track all customer interactions, issues, and resolutions in the support ticketing system, ensuring timely follow-up and closure.
• Own the solution to tickets end-to-end, escalating complex issues to higher-level support or development teams, providing detailed information, and following up until resolution.
• Develop and maintain knowledge base articles, FAQs, and technical documentation to assist customers and internal team members.
• Build long-lasting relationships with developers and other technical users.
• Conduct user training sessions and webinars to improve customer knowledge and product utilization.
• Provide feedback to the Product, Customer Success, and other internal teams to enhance the company’s offerings.
• Contribute to BotCity's strategic plan by providing insights into technical support best practices, challenges, and lessons learned.

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Partner Solutions Architect – AWS

AI Solutions Architect

Senior Solutions Engineer

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