Partner Success Engineer

Responsibilities

• Act as a technical expert and strategic advisor to strategic partners, engaging directly with developers, engineers, and executives to align business goals with technical solutions.
• Build, nurture, and sustain partner and customer relationships across all personas interacting with Deepgram, from developers and program managers to CIOs, CTOs, and other C-level stakeholders.
• Conduct regular on-site visits with partners, work hands-on to drive adoption, and actively embed Deepgram into their workflows.
• Own and manage the full partner lifecycle: onboarding, adoption, technical enablement, expansion, and advocacy.
• Focus on making Deepgram successful in the partner ecosystem, ensuring products are integrated, enabled, and adopted effectively, applying best practices, reference architectures, and creative solutions to drive outcomes.
• Continuously operate in discovery mode, surfacing issues, deeply understanding their complexity and business impact, and translating them into actionable requirements for internal teams.
• Confidently run live product demos, guide architecture discussions, and troubleshoot L1-style issues, bridging the gap between technical support, solutions design, and commercial growth.
• Maintain a deep understanding of Deepgram APIs, integrations, and AI/ML technologies.
• Proactively identify and scope opportunities for expansion (cross-sell, upsell, multi-product adoption), partnering with Sales.
• Proactively initiate and lead executive business reviews, joint planning sessions, and strategy workshops to stay ahead of risks, ensure alignment, and surface opportunities for growth.
• Serve as the voice of the partner internally, influencing product roadmap, GTM strategy, and the internal tools and processes we build to support partners and customers.
• Lead issue resolution and serve as an escalation point for complex, cross-functional partner matters, ensuring timely and satisfactory outcomes.
• Build the systems that make partner success scale. Design and ship the tools, agents, dashboards, and automated workflows that turn one-off partner interactions into repeatable, self-serve experiences.
• Operate AI-first by default. Every repeatable part of your job, partner research, technical enablement prep, integration diagnostics, follow-ups, QBR analysis, should run through AI workflows you've designed.

Requirements

• Thrive at the intersection of sales engineering, account management, and customer success.
• Have high EQ and high learning index, read the room, adapt your style, and quickly absorb technical and business complexity.
• Strong communicator who can keep many stakeholders aligned and focused, often through constant updates and over-communication on status and ownership.
• Energized by technical problem-solving, live demos, and translating support questions into growth conversations or business outcomes.
• See customer health and technical adoption not as endpoints but as the fuel for revenue expansion.
• Value collaboration and thrive in high-growth, fast-paced environments where priorities shift quickly.
• High degree of integrity and can work both collaboratively and independently in a remote WFH environment.
• Experience as Partner Manager, Technical Account Manager, Sales Engineer, Implementation Engineer, or Support Engineer.
• Comfortable with AI-first workflows, building tools/agents/pipelines/scripts to automate work.
• Deep understanding of APIs, integrations, and AI/ML technologies.