Superhuman offers a dynamic hybrid model, and candidates in this role can be based remotely. You may be expected to travel to meet in person during your team’s scheduled collaboration weeks. Managers will determine in-person time according to business needs About SuperhumanGrammarly is now part of Superhuman, the AI productivity platform on a mission to unlock the superhuman potential in everyone. The Superhuman suite of apps and agents brings AI wherever people work, integrating with over 1 million applications and websites. The company’s products include Grammarly’s writing assistance, Coda’s collaborative workspaces, Mail’s inbox management, and Go, the proactive AI assistant that understands context and delivers help automatically. Founded in 2009, Superhuman empowers over 40 million people, 50,000 organizations, and 3,000 educational institutions worldwide to eliminate busywork and focus on what matters. Learn more at superhuman.com and about our values here. The OpportunityAs GTM AI Engineer, you will own the design and execution of AI-driven workflows across Superhuman's go-to-market stack, translating ideas from sales leadership and business partners into automations that measurably improve how our reps prospect, manage pipeline, and close deals. You'll be the builder behind our GTM AI function, turning a strong existing foundation in Salesforce, Gong, Outreach and more into a high-leverage, AI-powered revenue engine. This role offers the unique opportunity to define how Superhuman's go-to-market teams operate in an AI-first world, from the ground up, with direct visibility into the impact of your work. In this role, you will: - Architect end-to-end AI workflows for GTM use cases like prospecting and deal execution, defining data flows, system integrations, and automation logic - Ship 5 - 10 production AI workflows per quarter, from initial scoping through to live deployment and any subsequent iterations - Configure MCPs and AI infrastructure and tooling; determine where data needs to come from and how it gets delivered to the right people or systems - Manage Superhuman's MCP and AI connector library available to the GTM org, ensuring the tooling is discoverable, maintained, and actively adopted - Break down high-level business goals (e.g. "AI-inspect our pipeline") into concrete technical requirements and build against them - Partner with business partners and sellers to surface workflow pain points and translate them into AI-ready specifications - Own and prioritize a live backlog of AI use cases for the GTM org; gathering ideas from sellers, business partners, and leadership and operationalizing the best ones - Identify and evaluate tools, vendors and AI capabilities relevant to our GTM tech stack Qualifications - 5+ years in GTM Systems, Revenue Operations, Sales Operations, or a similar role in high-growth SaaS environments - Hands-on experience building AI-powered workflows, automations, or agents in a business context (not just prompt engineering) - Extensive experience with Clay, building multi-step workflows that pull data from multiple sources and take action - Proficiency with AI tools like Claude, Gemini or Perplexity for workflow automation, including prompt design, tool use, and agentic task orchestration - Extensive experience with MCP (Model Context Protocol) configuration and AI agent frameworks - Solid understanding of how enterprise GTM tools connect together; i.e. CRM (Salesforce), CPQ (DealHub), sales engagement (Outreach), conversation intelligence (Gong), data enrichment (Zoominfo) and adjacent tooling with experience in administering these or similar tools - Comfortable working from ambiguity to delivery; you can take a rough idea and ship something real in weeks, not quarters - Excellent communicator who can translate technical ideas from non-technical stakeholders - Has a demonstrated ability to work independently with minimal guidance, proactively manages tasks and priorities across multiple projects, analyzes and executes work efficiently, collaborates effectively with cross-functional teams, and thrives in fast-paced, results-driven environments. Compensation and BenefitsSuperhuman offers all team members competitive pay along with a benefits package encompassing the following and more: - Excellent health care (including a wide range of medical, dental, vision, mental health, and fertility benefits) - Disability and life insurance options - 401(k) and RRSP matching - Paid parental leave - 20 days of paid time off per year, 12 days of paid holidays per year, two floating holidays per year, and flexible sick time - Generous stipends (including those for caregiving, pet care, wellness, your home office, and more) - Annual professional development budget and opportunities Superhuman takes a market-based approach to compensation, so base pay may vary by location. Our US locations are categorized into two compensation zones based on proximity to our hub locations. In Canada, all locations where we support employment are considered “Zone 1”. Base pay may vary considerably depending on job-related knowledge, skills, and experience. The expected salary ranges for this position are outlined below by compensation zone and may be modified in the future. United States: Zone 1: $140,000 - $190,000/year USD Zone 2: $123,000 - $154,000/year USD Canada: Zone 1: $100,000 - $135,000/year CAD For more information about our compensation zones and locations where we currently support employment, please refer to this page. If a location of interest is not listed, please speak with a recruiter for additional information. We encourage you to applyAt Superhuman, we value our differences, and we encourage all to apply—especially those whose identities are traditionally underrepresented in tech organizations. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, ancestry, national origin, citizenship, age, marital status, veteran status, disability status, political belief, or any other characteristic protected by law. Superhuman is an equal opportunity employer and a participant in the US federal E-Verify program (US). We also abide by the Employment Equity Act (Canada).

• Design and implement production-grade agentic systems; autonomous agents that leverage LLMs to reason, use tools, manage context, and orchestrate complex multi-step workflows on behalf of users. • Build scalable backend services, APIs, and data pipelines that support real-time AI inference, conversation state, and tool execution with robust error handling and recovery. • Architect systems for scale, designing AI infrastructure that handles growing inference demands, evolving agent complexity, and production reliability requirements. • Build and maintain RAG pipelines, including embeddings, vector search, and retrieval strategies, to power knowledge-driven features and contextual AI responses. • Bring foundational ML understanding to inform decisions around model selection, fine-tuning, embeddings, and evaluation and knowing when to use off-the-shelf models versus more custom approaches. • Collaborate with product, engineering, DevOps, and QA teams to define requirements and deliver AI-powered features, leading technical direction while pulling in the right people at the right stages. • Evaluate emerging agentic frameworks, LLM providers, and AI tooling; recommend adoptions that move the team’s capabilities forward. • Establish and document AI engineering standards, covering reliability, safety, observability, and prompt management and building institutional knowledge as the AI function grows. • Maintain engineering excellence. Write clean, well-tested code; conduct thorough code reviews; champion best practices across the team

• Lead complex, multi-system AI deployments end-to-end • Own the AI workshop program for your pod • Architect multi-agent solutions • Design client-specific and industry-specific MCP resource packs • Own Deployment Kit quality for your pod • Lead Solutions Enablement Sprints • Drive the intelligence loop

• Develop cutting-edge GenAI solutions, incorporating the latest techniques from Databricks AI research to solve customer problems • Own production rollouts of consumer and internally facing GenAI applications • Serve as a trusted technical advisor to customers across a variety of domains • Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally • Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap